Kauffeld, S. (2006a). Kompetenzen messen, bewerten, entwickeln [Measuring, evaluating, and developing competencies]. Stuttgart, Germany: Schäffer-Poeschel.Google Scholar

Kauffeld, S., Grote, S., & Frieling, E. (2000). Die Diagnose beruflicher Handlungskompetenz: Das Kasseler-Kompetenz-Raster [Diagnosis of professional competence: The Cassel competency grid]. In Geißler, K. A. & Loos, W. (Eds.), Handbuch Personalentwicklung (pp. 1–22). Cologne, Germany: Deutscher Wirtschaftsdienst.Google Scholar

Meinecke, A. L., & Lehmann-Willenbrock, N. (2015). Social dynamics at work: Meetings as a gateway. In Allen, J. A., Lehmann-Willenbrock, N., & Rogelberg, S. G. (Eds.), The Cambridge handbook of meeting science (pp. 325–356). New York: Cambridge University Press.CrossRefGoogle Scholar

Bales, R. F. (1950). Interaction process analysis: A method for the study of small groups. Cambridge, MA: Addison-Wesley.Google Scholar

Bales, R. F., & Cohen, S. P. (1979). SYMLOG: A system for the multiple level observation of groups. New York, NY: Free Press.Google Scholar

Fisch, F. (1994). Eine Methode zur Analyse von Interaktionsprozessen beim Problemlösen in Gruppen [A method for the analysis of interaction processes during group problem solving]. Gruppendynamik, 25, 149–168.Google Scholar

Kauffeld, S. (2006b). Self-directed work groups and team competence. Journal of Occupational and Organizational Psychology, 79, 1–21. doi:10.1348/096317905X53237CrossRefGoogle Scholar

Kauffeld, S. (2007). Jammern oder Lösungsexploration: Eine sequenzanalytische Betrachtung des Interaktionsprozesses in betrieblichen Gruppen bei der Bewältigung von Optimierungsaufgaben [Complaining or exploration of solutions: A sequential examination of interaction processes in work groups when completing optimization tasks]. German Journal of Work and Organizational Psychology, 51, 55–67. doi:10.1026/0932-4089.51.2.55Google Scholar

Kauffeld, S. (2010). Das Kasseler-Kompetenz-Raster [The Cassel competency grid]. In Sarges, W., Wottawa, H., & Roos, C. (Eds.), Handbuch wirtschaftspsychologischer Testverfahren, Band II: Organisationspsychologische Instrumente (2nd edn., pp. 165–173). Lengerich, Germany: Pabst.Google Scholar

Kauffeld, S., Grote, S., & Frieling, E. (2000). Die Diagnose beruflicher Handlungskompetenz: Das Kasseler-Kompetenz-Raster [Diagnosis of professional competence: The Cassel competency grid]. In Geißler, K. A. & Loos, W. (Eds.), Handbuch Personalentwicklung (pp. 1–22). Cologne, Germany: Deutscher Wirtschaftsdienst.Google Scholar

Kauffeld, S., & Lehmann-Willenbrock, N. (2012). Meetings matter: Effects of team meeting communication on team and organizational success. Small Group Research, 43, 128–156. doi:10.1177/1046496411429599CrossRefGoogle Scholar

Kauffeld, S., & Meyers, R. (2009). Complaint and solution-oriented circles: Interaction patterns in work group discussions. European Journal of Work and Organizational Psychology, 18, 267–294. doi:10.1080/13594320701693209CrossRefGoogle Scholar

Klonek, F. E., Quera, V., Burba, M., & Kauffeld, S. (2016). Group interactions and time: Using sequential analysis to study group dynamics in project meetings. Group Dynamics: Theory, Research, and Practice, 20, 209–222. doi:10.1037/gdn0000052CrossRefGoogle Scholar

Lehmann-Willenbrock, N., & Allen, J. A. (2014). How fun are your meetings? Investigating the relationship between humor patterns in team interactions and team performance. Journal of Applied Psychology, 99, 1278–1287. doi:10.1037/a0038083CrossRefGoogle ScholarPubMed

Lehmann-Willenbrock, N., & Allen, J. A. (2017). Well, now what do we do? Wait … : A group process analysis of meeting lateness. International Journal of Business Communication. Advance online publication. doi:10.1177/2329488417696725CrossRefGoogle Scholar

Lehmann-Willenbrock, N., Allen, J. A., & Meinecke, A. L. (2014). Observing culture: Differences in U.S.-American and German team meeting behaviors. Group Processes & Intergroup Relations, 17, 252–271. doi:10.1177/1368430213497066CrossRefGoogle Scholar

Lehmann-Willenbrock, N., Beck, S. J., & Kauffeld, S. (2016). Emergent team roles in organizational meetings: Identifying communication patterns via cluster analysis. Communication Studies, 67, 37–57. doi:10.1080/10510974.2015.1074087CrossRefGoogle Scholar

Lehmann-Willenbrock, N., Chiu, M. M., Lei, Z., & Kauffeld, S. (2017). Understanding positivity within dynamic team interactions: A statistical discourse analysis. Group & Organization Management, 42, 39–78. doi:10.1177/1059601116628720CrossRefGoogle Scholar

Lehmann-Willenbrock, N., & Kauffeld, S. (2010). The downside of communication: Complaining cycles in group discussions. In Schuman, S. (Ed.), The handbook for working with difficult groups: How they are difficult, why they are difficult, what you can do (pp. 33–54). San Francisco, CA: Jossey-Bass/Wiley.Google Scholar

Lehmann-Willenbrock, N., Meinecke, A. L., Rowold, J., & Kauffeld, S. (2015). How transformational leadership works during team interactions: A behavioral process analysis. The Leadership Quarterly, 26, 1017–1033. doi:10.1016/j.leaqua.2015.07.003CrossRefGoogle Scholar

Mangold. (2014). INTERACT user manual. Retrieved from www.mangold-international.comGoogle Scholar

van der Haar, S., Koeslag-Kreunen, M., Euwe, E., & Segers, M. (2017). Team leader structuring for team effectiveness and team learning in command-and-control teams. Small Group Research, 48, 215–248. doi:10.1177/1046496417689897CrossRefGoogle Scholar

Schermuly, C. C., & Scholl, W. (2011). Instrument zur Kodierung von Diskussionen (IKD) [Discussion Coding System (DCS)]. Göttingen, Germany: Hogrefe.Google Scholar

Schermuly, C. C., & Scholl, W. (2012). The Discussion Coding System (DCS). A new instrument for analyzing communication processes. Communication Methods and Measures, 6, 12–40.CrossRefGoogle Scholar

Bales, R. F. (1950). Interaction process analysis. A method for the study of small groups. Cambridge, MA: Addison-Wesley.Google Scholar

Boos, M. (1995). Die sequentielle Strukturierung sozialer Interaktion [The sequential structure of social interaction]. In Langenthaler, W. & Schiepek, G. (Hrsg.), Selbstorganisation und Dynamik in Gruppen (pp. 209–221). Münster: Lit.Google Scholar

Brauner, E. (2006). Kodierung transaktiver Wissensprozesse (TRAWIS). Ein Verfahren zur Erfassung von Wissenstransfers in Interaktionen [Transactive Knowledge Coding System (TRAWIS): A schema for the assessment of knowledge transfer in interactions]. Zeitschrift für Sozialpsychologie, 37, 99–112. doi:10.1024/0044-3514.37.2.99CrossRefGoogle Scholar

Fisch, R. (1994). Eine Methode zur Analyse von Interaktionsprozessen beim Problemlösen in Gruppen [A method for the analysis of interaction processes during group problem solving]. Gruppendynamik, 25, 149–168.Google Scholar

Fiske, S. T., Cuddy, A. J. C., & Glick, P. (2006). Universal dimensions of social cognition: Warmth and competence. Trends in Cognitive Sciences, 11, 77–83. http://dx.doi.org/10.1016/j.tics.2006.11.005CrossRefGoogle ScholarPubMed

Heise, D. R. (2007). Expressive order. Confirming sentiments in social action. New York, NY: Springer.Google Scholar

Ianiro, P. M., & Kauffeld, S. (2014). Take care what you bring with you: How coaches’ mood and interpersonal behavior affect coaching success. Consulting Psychology Journal: Practice and Research, 66, 231–257. http://dx.doi.org/10.1037/cpb0000012CrossRefGoogle Scholar

Ianiro, P. M., Lehmann-Willenbrock, N., & Kauffeld, S. (2015). Coaches and clients in action: A sequential analysis of interpersonal coach and client behavior. Journal of Business and Psychology, 30, 435–456. http://dx.doi.org/10.1007/s10869-014-9374-5CrossRefGoogle Scholar

Ianiro, P. M., Schermuly, C. C., & Kauffeld, S. (2013). Why interpersonal affiliation and dominance matter: An interaction analysis of the coach-client relationship. Coaching: An International Journal of Theory, Research & Practice, 6, 25–46. http://dx.doi.org/10.1080/17521882.2012.740489Google Scholar

Jacobs, I., & Scholl, W. (2005). Interpersonale Adjektivliste (IAL): Die empirische Umsetzung theoretischer Circumplex-Eigenschaften für die Messung interpersonaler Stile [Interpersonal Adjective List (IAL): The empirical implementation of theoretical circumplex characteristics for the measurement of interpersonal styles]. Diagnostica, 51, 145–155. http://dx.doi.org/10.1026/0012-1924.51.3.145CrossRefGoogle Scholar

Kämmer, J. E., Gaissmaier, W., Reimer, T., & Schermuly, C. C. (2014). The adaptive use of recognition in group decision making. Cognitive Science, 38, 911–942. http://dx.doi.org/10.1111/cogs.12110CrossRefGoogle ScholarPubMed

Kolbe, M. (2007). Koordination von Entscheidungsprozessen in Gruppen. Die Bedeutung expliziter Koordinationsmechanismen. [Process coordination in decision making groups. The meaning of explicit coordination mechanisms]. Saarbrücken, Germany: VDM Verlag Dr. Müller.Google Scholar

Luxen, M. F. (2005). Gender differences in dominance and affiliation during a demanding interaction. The Journal of Psychology, 139, 331–347. http://dx.doi.org/10.3200/JRLP.139.4.331-347CrossRefGoogle ScholarPubMed

Meyer, B., Burtscher, M. J., Jonas, K., Feese, S., Arnrich, B., Tröster, G., & Schermuly, C. C. (2016). What good leaders actually do: Micro-level leadership behavior, leader evaluations, and team decision quality. European Journal of Work and Organizational Psychology, 25(6), 773–789. http://dx.doi.org/10.1080/1359432X.2016.1189903CrossRefGoogle Scholar

Meyer, B., & Schermuly, C. C. (2012). When beliefs are not enough: Examining the interaction of diversity faultlines, task motivation, and diversity beliefs on team performance. European Journal of Work and Organizational Psychology, 21, 456–487. http://dx.doi.org/10.1080/1359432X.2011.560383CrossRefGoogle ScholarPubMed

Sachs, L. (1999). Angewandte Statistik. Anwendung statistischer Methoden (Applied statistics. Application of statistical methods). Berlin, Germany: Springer.Google Scholar

Scharpf, U., & Fisch, R. (1989). Das Schicksal von Vorschlägen in Beratungs- und Entscheidungssitzungen. Ein Beitrag zur Analyse inhaltlicher Aspekte der Interaktion bei der Entscheidungsfindung in Gruppen [The fate of proposals in consultation and decision situations. A contribution to the analysis of content aspects of interaction in group decision-making]. Gruppendynamik, 20, 283–296.Google Scholar

Schermuly, C. C., Schröder, T., Nachtwei, J. & Scholl, W. (2010). Das Instrument zur Kodierung von Diskussionen (IKD): Ein Verfahren zur zeitökonomischen und validen Kodierung von Interaktionen in Organisationen [The Discussion Coding System (DCS): An instrument for valid and time-efficient coding of interactions in organizations]. Zeitschrift für Arbeits- und Organisationspsychologie, 54, 149–170. http://dx.doi.org/10.1026/0932-4089/a000026CrossRefGoogle Scholar

Schröder, T., Netzel, J., Schermuly, C. C., & Scholl, W. (2013). Culture-constrained affective consistency of interpersonal behavior. A test of affect control theory with nonverbal expressions. Social Psychology, 44, 47–58.CrossRefGoogle Scholar

Sjøvold, E. (2007). Systematizing person-group relations (SPGR). A field theory of social interaction. Small Group Research, 38, 615–635.CrossRefGoogle Scholar

Bales, R. F. (1950b). Interaction process analysis: A method for the study of small groups. Cambridge, MA: Addison-Wesley.Google Scholar

Allen, W. R., Comerford, R. A., & Ruhe, J. A. (1989). Factor analytic study of Bales’ Interaction Process Analysis. Educational and Psychological Measurement, 49, 701–707. doi:10.1177/001316448904900325CrossRefGoogle Scholar

Bales, R. F. (1950a). A set of categories for the analysis of small group interaction. American Sociological Review, 15, 257–263.CrossRefGoogle Scholar

Bales, R. F., & Cohen, S. P. (1979). SYMLOG: A system for the multiple level observation of groups. New York, NY: Free Press.Google Scholar

Bales, R. F., & Strodtbeck, F. L. (1951). Phases in group problem-solving. Journal of Abnormal and Social Psychology, 44, 485–495.CrossRefGoogle Scholar

Beck, D., & Fisch, R. (2000). Argumentation and emotional processes in group decision-making: Illustration of a multilevel interaction process analysis approach. Group Processes & Intergroup Relations, 3, 183–201. doi:10.1177/1368430200003002005CrossRefGoogle Scholar

Beck, S. J., & Keyton, J. (2009). Perceiving strategic meeting interaction. Small Group Research, 40, 223–246. doi:10.1177/1046496408330084CrossRefGoogle Scholar

Beck, S. J., & Keyton, J. (2012). Team cognition, communication, and message interdependence. In Salas, E., Fiore, S. F., & Letsky, M. (Eds.), Theories of team cognition: Cross-disciplinary perspectives (pp. 471–494). New York, NY: Routledge.Google Scholar

Beck, S. J., & Keyton, J. (2014). Facilitating social support: Member-leader communication in a breast cancer support group. Cancer Nursing, 37, E36–43. doi:10.1097/NCC.0b013e3182813829CrossRefGoogle Scholar

Beck, S. J., Paskewitz, E. A., Anderson, W. A., Bourdeaux, , & Currie-Mueller, J. (2017). The task and relational dimensions of online social support. Health Communication, 32, 347–355. doi:10.1080/10410236.2016.1138383CrossRefGoogle ScholarPubMed

Choi, K. S., Im, I., & Hofstede, G. J. (2016). A cross-cultural comparative analysis of small group collaboration using mobile twitter. Computers in Human Behavior, 65, 308–318. doi:10.1016/j.chb.2016.08.043CrossRefGoogle Scholar

Dennis, M. R., Kunkel, A., & Keyton, J. (2008). Problematic integration theory, appraisal theory, and the Bosom Buddies Breast Cancer Support Group. Journal of Applied Communication Research, 36, 415–436. doi:10.1080/00909880802094315CrossRefGoogle Scholar

Ervin, J., Bonito, J., & Keyton, J. (2017). Convergence of intrapersonal and interpersonal processes across group meetings. Communication Monographs, 84, 200–220. doi:10.1080/03637751.2016.1185136CrossRefGoogle Scholar

Fahy, , P. (2005). Online and face-to-face group interaction processes compared using Bales’ Interaction Process Analysis (IPA). Retrieved February 14, 2018, from www.eurodl.org/materials/contrib/2006/Patrick_J_Fahy.htmGoogle Scholar

Fisher, B. A. (1970). Decision emergence: Phases in group decision‐making. Speech Monographs, 7, 53–66. doi:10.1080/03637757009375649.CrossRefGoogle Scholar

Guo, H., & Goh, D.H-L. (2014). ‘‘I Have AIDS”: Content analysis of postings in HIV/AIDS support group on a Chinese microblog, 34, 219–226. Retrieved February 14, 2018, from www.eurodl.org/materials/contrib/2006/Patrick_J_Fahyhtm.Google Scholar

Hackman, J. R. (1975). Group tasks, group interaction process, and group performance effectiveness: A review and proposed integration. Advances in Experimental Social Psychology, 8, 45–99. doi:10.1016/S0065-2601(08)60248-8CrossRefGoogle Scholar

Hiltz, S. R., Johnson, K., & Turoff, M. (1986). Experiments in group decision making communication process and outcome in face-to-face versus computerized conferences. Human Communication Research, 13, 225–252 doi:10.1111/j.1468-2958.1986.tb00104.xCrossRefGoogle Scholar

Jordan, B., & Henderson, A. (1995). Interaction analysis: Foundations and practice. The Journal of the Learning Sciences, 4, 39–103.CrossRefGoogle Scholar

Keyton, J. (1997). Coding communication in decision-making groups: Assessing effective and ineffective process. In Frey, L. R. & Barge, J. K. (Eds.), Managing group life: Communication in decision-making groups (pp. 236–269). Boston, MA: Houghton Mifflin.Google Scholar

Keyton, J. (2003). Observing group interaction. In Hirokawa, R. Y., Cathcart, R. S., Samovar, L. A., & Henman, L. D., Small group communication: Theory and practice (8th edn., pp. 256–266). Los Angeles, CA: Roxbury.Google Scholar

Keyton, J., & Beck, S. J. (2009). The influential role of relational messages in group interaction. Group Dynamics, 13, 14–30. doi:10.1037/a0013495CrossRefGoogle Scholar

Krippendorff, K. (2004). Content analysis: An introduction to its methodology (2nd edn.). Thousand Oaks, CA: Sage.Google Scholar

Lewin, K. (1939). Field theory and experiment in social psychology. American Journal of Sociology, 44, 868–896. doi:10.1086/218177CrossRefGoogle Scholar

Li, Y., Rau, P-L. P., Li, H., & Maedche, A. (2017). Effects of a dyad’s cultural intelligence on global virtual collaboration. IEEE Transactions on Professional Communication, 60, 56–75. doi:10.1109/TPC.2016.2632842.CrossRefGoogle Scholar

Lofstrand, P., & Zakrisson, I. (2014). Competitive versus non-competitive goals in group decision-making. Small Group Research, 45, 451–464. doi:10.1177/1046496414532954CrossRefGoogle Scholar

Mabry, E. A. (1975). An instrument for assessing content themes in group interaction. Speech Monographs, 42, 191–297. doi:10.1080/03637757509375904CrossRefGoogle Scholar

Maloney-Krichmar, D., & Preece, J. (2002). The meaning of an online health community in the lives of its members: Roles, relationships and group dynamics. Published in the proceedings of the IEEE 2002 International Symposium on Technology and Society: Social Implications of Information and Communication Technology. doi:10.1109/ISTAS.2002.1013791CrossRefGoogle Scholar

Maloney-Krichmar, D., & Preece, J. (2005). Multilevel analysis of sociability, usability, and community dynamics in an online health community. ACM Transactions on Computer-Human Interaction, 12, 201–232. doi:10.1145/1067860.1067864CrossRefGoogle Scholar

Neuendorf, K. A. (2002). The content analysis guidebook. Thousand Oaks, CA: Sage.Google Scholar

Pena, J., & Hancock, J. T. (2006). An analysis of socioemotional and task communication in online multiplayer video games. Communication Research, 33, 92–109. doi:10.1177/0093650205283103CrossRefGoogle Scholar

Poole, M. S., & Folger, J. P. (1981). A method for establishing the representational validity of interaction coding systems: Do we see what they see? Human Communication Research, 8, 26–42. doi:10.1111/j.1468-2958.1981.tb00654.xCrossRefGoogle Scholar

Rourke, L., & Anderson, T. (2004). Validity in quantitative content analysis. Educational Technology Research and Development, 52(1), 5–18.CrossRefGoogle Scholar

Futoran, G. C., Kelly, J. R., & McGrath, J. E. (1989). TEMPO: A time-based system for analysis of group interaction process. Basic and Applied Social Psychology, 10, 211–232. doi:10.1207/2s15324834basp1003.2CrossRefGoogle Scholar

Bales, R. F. (1950). Interaction process analysis: A method for the study of small groups. Cambridge, MA: Addison-Wesley.Google Scholar

Karau, S. J., & Kelly, J. R. (1992). The effects of time scarcity and time abundance on group performance quality and interaction process. Journal of Experimental Social Psychology, 28, 542–571. doi:10.1016/0022-1031(92)90045-LCrossRefGoogle Scholar

Kauffeld, S., & Lehmann-Willenbrock, N. (2012). Meetings matter: Effects of team meetings on team and organizational success. Small Group Research, 43, 130–158. doi:10 1177/1046496411429599CrossRefGoogle Scholar

Kolbe, M., Strack, M., Stein, A., & Boos, M. (2011). Effective coordination in human group decision making: MICRO_CO: A micro-analytical taxonomy for analyzing explicit coordination mechanisms in decision-making groups. In Boos, M. et al. (Eds.), Coordination in Human and Primate Groups (pp. 199–219). Berlin, Germany: Springer-Verlag. doi:10.1007/978-3-642-15355-6_11CrossRefGoogle Scholar

Liu, Y. C., & Burn, J. M. (2007). Improving the performance of online learning teams – A discourse analysis. Journal of Information Systems Education, 18, 369–379.Google Scholar

McGrath, J. E. (1991). Time, interaction, and performance (TIP): A theory of groups. Small Group Research, 22, 147–174. doi:10.1177/1046496491222001CrossRefGoogle Scholar

Nordback, E., & Sivunen, A. (2013). Leadership behaviors in virtual team meetings taking place in a 3D virtual world. 46th Hawaii International Conference on System Sciences. doi:10.1109/HICSS.2013.380CrossRefGoogle Scholar

Straus, S. G. (1997). Technology, group process, and group outcomes: Testing the connections in computer-mediated and face-to-face groups. Human-Computer Interaction, 12, 227–266. doi:10.1207/s15327051hci1203_1CrossRefGoogle Scholar

Straus, S. G. (1999). Testing a typology of tasks: An empirical validation of McGrath’s (1984) Group Task Circumplex. Small Group Research, 30, 166–187. doi:10.1177/104649649903000202CrossRefGoogle Scholar

Sommer, C., Boos, M., Conradi, E., Biller-Andorno, N., & Wiesemann, C. (2011). Care and justice arguments in the ethical reasoning of medical students. Ramon Llull Journal of Applied Ethics, 2, 9–32.Google Scholar

Bergmann, J., & Luckmann, T. (Eds.), (1999). Die kommunikative Konstruktion von Moral [The communicative construction of morality]. Opladen, Germany: Westdeutscher Verlag.CrossRefGoogle Scholar

Fleiss, J. L. (1981). Statistical methods for rates and proportions (2nd edn.). New York, NY: Wiley.Google Scholar

Gilligan, C. (1982). In a different voice. Cambridge, MA: Harvard University Press.Google Scholar

Moscovici, S. (1981). On social representations. In Forgas, J. P. (Ed.), Social cognition: Perspectives on everyday understanding (pp. 181–209). London, UK: Academic Press.Google Scholar

Moscovici, S. (1984). The phenomenon of social representations. In Farr, R. & Moscovici, S. (Eds.), Social representations (pp. 3–69). Cambridge, UK: Cambridge University Press.Google Scholar

Sommer, C. (2004). Fürsorge- und Gerechtigkeitsmoral: Eine interpersonelle Perspektive [Care and Justice Morality: An Interpersonal Perspective]. Hamburg: Kovač.Google Scholar

Toulmin, S. E. (1958). The uses of argument. Cambridge, UK: Cambridge University Press.Google Scholar

Voss, J. F., Tyler, S. W., & Yengo, L. A. (1983). Individual differences in the solving of social science problems. In Dillon, R. F. & Schmeck, R. R. (Eds.), Individual differences in cognition (pp. 205–232). New York, NY: Academic Press.Google Scholar

Poole, M. S., & Roth, J. (1989a). Decision development in small groups IV: A typology of decision paths. Human Communication Research, 15, 323–356.CrossRefGoogle Scholar

Poole, M. S. (1983). Decision development in small groups II: A study of multiple sequences in decision-making. Communication Monographs, 50, 206–232.CrossRefGoogle Scholar

The coding manual can be found at http://hdl.handle.net/2142/35315 (last retrieved on February 18, 2018).Google Scholar

Bales, R. F. (1950). Interaction process analysis. Reading, MA: Addison-Wesley.Google Scholar

Fisher, B. A. (1970). Decision emergence: Phases in group decision making. Communication Monographs, 37, 53–66.CrossRefGoogle Scholar

Markman, H. J., Renick, M. J., Floyd, F. J., Stanley, S. M., & Clements, M. (1993). Preventing marital distress through communication and conflict management training: A 4- and 5-year follow-up. Journal of Consulting and Clinical Psychology, 61(1), 70–77.CrossRefGoogle Scholar

Poole, M. S., & Dobosh, M. (2010). Exploring conflict management processes in jury deliberations through interaction analysis. Small Group Research, 41, 408–426.CrossRefGoogle Scholar

Poole, M. S., & Roth, J. (1989b). Decision development in small groups V: Test of a contingency model. Human Communication Research, 15, 549–589.CrossRefGoogle Scholar

Poole, M. S., Holmes, M., & DeSanctis, , G. (1991). Conflict management in a computer-supported meeting environment. Management Science, 37, 926–953.CrossRefGoogle Scholar

Sambamurthy, V., & Poole, M. S. (1992). The effects of variations in capabilities of GDSS designs on management of cognitive conflict in groups. Information Systems Research, 3, 224–251.CrossRefGoogle Scholar

Sillars, A. L., Coletti, S. F., Parry, D., & Rogers, M. A. (1982). Coding verbal conflict tactics: Nonverbal and perceptual correlates of the “avoidance-distributive-integrative” distinction. Human Communication Research, 9, 83–95.CrossRefGoogle Scholar

Paletz, S. B. F., Schunn, C. D., & Kim, K. H. (2011). Conflict under the microscope: Micro-conflicts in naturalistic team discussions. Negotiation and Conflict Management Research, 4, 314–351. doi:10.1111/j.1750-4716.2011.00085.xCrossRefGoogle Scholar

Paletz, S. B. F., Chan, J., & Schunn, C. D. (2017). The dynamics of micro-conflicts and uncertainty in successful and unsuccessful design teams. Design Studies, 50, 39–69. doi:10.1016/j.destud.2017.02.002CrossRefGoogle Scholar

Paletz, S. B. F., Sumer, A., & Miron-Spektor, E. (2017). Psychological factors surrounding disagreement in multicultural design team meetings. CoDesign. https://doi.org/10.1080/15710882.2017.1378685CrossRefGoogle Scholar

Amason, A. (1996). Distinguishing the effects of functional and dysfunctional conflict on strategic decision making: Resolving a paradox for top management teams. Academy of Management Journal, 39, 123–143. doi:10.2307/256633CrossRefGoogle Scholar

Bakeman, R., Quera, V., McArthur, D., & Robinson, B. F. (1997). Detecting sequential patterns and determining their reliability with fallible observers. Psychological Methods, 2, 357–370. doi:10.1037/1082-989X.2.4.357CrossRefGoogle Scholar

Bales, R. F. (1951). Interaction process analysis: A method for the study of small groups. Cambridge, MA: Addison-Wesley Press.Google Scholar

Barki, H., & Hartwick, J. (2004). Conceptualizing the construct of interpersonal conflict. International Journal of Conflict Management, 15, 216–244. doi:10.1108/eb022913CrossRefGoogle Scholar

Bearman, C. R., Paletz, S. B. F., Orasanu, J., & Thomas, M. J. W. (2010). The breakdown of coordinated decision making in distributed systems. Human Factors, 52, 173–188. doi:10.1177/0018720810372104CrossRefGoogle ScholarPubMed

Bendersky, C., Bear, J., Behfar, K. J., Weingart, L. R., Todorova, G., & Jehn, K. A. (2014). Identifying gaps between the conceptualization of conflict and its measurement. In Ashkanasy, N., Ayoko, O., & Jehn, K. A. (Eds.), Handbook of research in conflict management (pp. 79–89). Cheltenham, UK: Edward Elgar. doi:10.4337/9781781006948Google Scholar

Chan, J., Paletz, S. B. F., & Schunn, C. D. (2012). Analogy as a strategy for supporting complex problem solving under uncertainty. Memory and Cognition, 40, 1352–1365. doi:10.3758/s13421-012-0227-zCrossRefGoogle ScholarPubMed

Chi, M. T. H. (1997). Quantifying qualitative analysis of verbal data: A practical guide. Journal of Learning Sciences, 6, 271–315. doi:10.1207/s15327809jls0603_1CrossRefGoogle Scholar

Christensen, B. T., & Schunn, C. D. (2009). The role and impact of mental simulation in design. Applied Cognitive Psychology, 23, 327–344. doi:10.1002/acp.1464CrossRefGoogle Scholar

Coan, J. A., & Gottman, J. M. (2007). The Specific Affect (SPAFF) coding system. In Coan, J. A. & Allen, J. J. B. (Eds.) Handbook of emotion elicitation and assessment (pp. 106–123), New York, NY: Oxford University Press.CrossRefGoogle Scholar

Gottman, J. M., & Notarius, C. I. (2000). Decade review: Observing marital interaction. Journal of Marriage and the Family, 62, 927–947. doi:10.1111/j.1741-3737.2000.00927.xCrossRefGoogle Scholar

Jehn, K. A. (1997). A qualitative analysis of conflict types and dimensions in organizational groups. Administrative Science Quarterly, 42, 530–557. doi:10.2307/2393737CrossRefGoogle Scholar

Jehn, K. A., & Bendersky, C. (2003). Intragroup conflict in organizations: A contingency perspective on the conflict-outcome relationship. Research in Organizational Behavior, 25, 187–242. doi:10.1016/s0191-3085(03)25005-xCrossRefGoogle Scholar

Jehn, K. A., & Mannix, E. A. (2001). The dynamic nature of conflict: A longitudinal study of intragroup conflict and group performance. Academy of Management Journal, 44, 238–251. doi:10.2307/3069453CrossRefGoogle Scholar

Kauffeld, S. (2006). Self-directed work groups and team competence. Journal of Occupational and Organizational Psychology, 79, 1–21. doi:10.1348/096317905X53237.CrossRefGoogle Scholar

Kauffeld, S., & Lehmann-Willenbrock, N. (2012). Meetings matter: Effects of team meetings on team and organizational success. Small Group Research, 43, 130–158. doi:10.1177/1046496411429599CrossRefGoogle Scholar

Kuhn, T., & Poole, M. S. (2000). Do conflict management styles affect group decision making? Evidence from a longitudinal field study. Human Communication Research, 26, 558–590. doi:10.1111/j.1468-2958.2000.tb00769.xCrossRefGoogle Scholar

Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159–174. doi:10.2307/2529310CrossRefGoogle ScholarPubMed

Neff, R., Jankovic, S., Wolf, M., Tacey, P., Paletz, S. B. F., & Schunn, C. D. (2012). Affect and conflict in student engineering teams. Poster presented at the International Society for the Psychology of Science and Technology Conference, Pittsburgh, PA.Google Scholar

Paletz, S. B. F., Chan, J., & Schunn, C. D. (2016). Uncovering uncertainty through disagreement. Applied Cognitive Psychology, 30, 387–400. doi:10.1002/acp.3213CrossRefGoogle Scholar

Paletz, S. B. F., Schunn, C. D., & Kim, K. H. (2013). The interplay of conflict and analogy in multidisciplinary teams. Cognition, 126, 1–19. doi:10.1016/j.cognition.2012.07.020CrossRefGoogle ScholarPubMed

Pennebaker, J. W., Boyd, R. L., Jordan, K., & Blackburn, K. (2015). The development and psychometric properties of LIWC2015. Austin, TX: University of Texas at Austin. Retrieved February 14, 2018, from http://liwc.wpengine.com/wp-content/uploads/2015/11/LIWC2015_LanguageManual.pdf. doi:10.15781/T29G6Z.Google Scholar

Smith, C. P. (2000). Content analysis and narrative analysis. In Reis, H. T. & Judd, C. M. (Eds.), Handbook of research methods in social and personality psychology (pp. 313–335). Cambridge, UK: Cambridge University Press.Google Scholar

Srikanth, K., Harvey, S., & Peterson, R. (2016). A dynamic perspective on diverse teams: Moving from the dual-process model to a dynamic coordination-based model of diverse team performance. Academy of Management Annals, 10, 453–493. doi:10.1080/19416520.2016.1120973CrossRefGoogle Scholar

Staw, B. M. (1975). Attribution of the ‘‘causes’’ of performance: A general alternative interpretation of cross-sectional research on organizations. Organizational Behavior and Human Decision Processes, 13, 414–432. doi:10.1016/0030-5073(75)90060-4CrossRefGoogle Scholar

Todorova, G., Bear, J. B., & Weingart, L. R. (2014). Can conflict be energizing? A study of task conflict, positive emotions, and job satisfaction. Journal of Applied Psychology, 99, 451–467. doi:10.1037/a0035134CrossRefGoogle ScholarPubMed

Vuchinich, S. (1987). Starting and stopping spontaneous family conflicts. Journal of Marriage and the Family, 49, 591–601. doi:10.2307/352204CrossRefGoogle Scholar

Weingart, L. R., Behfar, K. J., Bendersky, C., Todorova, G., & Jehn, K. A. (2015). The directness and oppositional intensity of conflict expression. Academy of Management Review, 40, 235–262. doi:10.5465/amr.2013-0124CrossRefGoogle Scholar

Yao, J., Brett, J., & Zhang, Z. X. n.d. Multi-issue offers: A low-trust path to joint gains in negotiations. Paper presented at the International Association for Conflict Management conference, Berlin, Germany, July 2017.Google Scholar

Yao, J., Zhang, Z. X., & Brett, J. (2017). Understanding trust development in negotiations: An interdependent approach. Journal of Organizational Behavior, 38(5), 712–729.CrossRefGoogle Scholar

Adair, W. L., & Brett, J. M. (2005). The negotiation dance: Time, culture, and behavioral sequences in negotiation. Organization Science, 16(1), 33–51. doi:10.1287/orsc.1040.0102CrossRefGoogle Scholar

Adair, W. L., Okumura, T., & Brett, J. M. (2001). Negotiation behavior when cultures collide: The United States and Japan. Journal of Applied Psychology, 86(3), 371–385. doi:10.1037/0021-9010.86.3.371CrossRefGoogle ScholarPubMed

Curhan, J., & Pentland, A., (2007). Thin slices of negotiation: Predicting outcomes from conversational dynamics within the first 5 minutes. Journal of Applied Psychology, 92(3), 802–811. doi:10.1037/0021-9010.92.3.802CrossRefGoogle ScholarPubMed

De Dreu, C., Evers, A. Beersma, B., Klewer, E., Nauta, A. (2001). A theory based measure of conflict management in the workplace. Journal of Organizational Behavior, 22(6), 645–668. doi:10.1002/job.107CrossRefGoogle Scholar

Hayes, A. F. 2012. PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling. (White paper). Retrieved February 16, 2018, from www.afhayes.com/public/process2012.pdfGoogle Scholar

Kenny, D. A., Kashy, D., & Cook, W. L. 2006. Dyadic data analysis. New York, NY: Guilford Press.Google Scholar

Kong, D. T., Dirks, K., & Ferrin, D. (2014). Interpersonal trust within negotiations: Meta-analytic evidence, critical contingencies, and direction for future research. Academy of Management Journal, 57(5), 1235–1255. doi:10.5465/amj.2012.0461CrossRefGoogle Scholar

Landis, J. R., & Koch, G. G. 1977. The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174. doi:10.2307/2529310CrossRefGoogle ScholarPubMed

Liu, M. (2009). The intrapersonal and interpersonal effects of anger on negotiation strategies: A cross-cultural investigation. Human Communication Research, 35(1), 148–169. doi:10.1111/j.1468-2958.2008.01342.xCrossRefGoogle Scholar

Olekalns, M. Brett, J. M., & Weingart, L. R. 2004. Phases, transitions and interruptions: The processes that shape agreement in multi-party negotiations. International Journal of Conflict Management: Special Issue on Processes in Negotiation, 14(3), 191–211. doi:10.1108/eb022898CrossRefGoogle Scholar

Olekalns, M., & Smith, P. L. (2000). Understanding optimal outcomes: The role of strategy sequences in competitive negotiations. Human Communication Research, 26(4), 527–57. doi:10.1111/j.1468-2958.2000.tb00768.xGoogle Scholar

Pruitt, D. G. 1981. Negotiation Behavior. New York, NY: Academic Press.Google Scholar

Pruitt, D., & Rubin, J. (1986). Social conflict: Escalation, stalemate, and settlement. New York, NY: Random House.Google Scholar

Walton, R. E., & McKersie, R. B. (1965). A behavioral theory of labor negotiations: An analysis of a social interaction system. Ithaca, NY: Cornell University Press.Google Scholar

Weingart, L. R., Thompson, L. L., Bazerman, M. H., & Carroll, J. S. (1990). Tactical behavior and negotiation outcomes. International Journal of Conflict Management, 1(1), 7–31. doi:10.1108/eb022839CrossRefGoogle Scholar

Sillars, A. L. (1980). The sequential and distributional structure of conflict as a function of attributions concerning the locus of causality and stability of conflicts. In Nimmo, D. (Ed.), Communication Yearbook 4 (pp. 217–235). New Brunswick, NJ: Transaction Press. [VTCS applied to discussions of college roommates]Google Scholar

Sillars, A. L., Pike, G. R., Jones, T. S., & Redmon, K. (1983). Communication and conflict in marriage. In Bostrom, R. (Ed.), Communication yearbook 7 (pp. 414–429). Beverly Hills, CA: Sage. [First application to marital conflict]Google Scholar

Zietlow, P. H., & Sillars, A. L. (1988). Life stage differences in communication during marital conflicts. Journal of Social and Personal Relationships, 5, 223–245. doi:10.1177/026540758800500206CrossRefGoogle Scholar

Bradbury, T. N., Campbell, S. M., & Fincham, F. D. (1995). Journal of Personality and Social Psychology, 68, 328–341. doi:10.1037/0022-3514.68.2.328CrossRefGoogle Scholar

Bradbury, T. N., & Fincham, F. D. (1992). Attributions and behavior in marital interaction. Journal of Personality and Social Psychology, 63, 613–628. doi:10.1037/0022-3514.63.4.613CrossRefGoogle ScholarPubMed

Burggraf, C. S., & Sillars, A. L. (1987). A critical examination of sex differences in marital communication. Communication Monographs, 54, 276–294. doi:10.1080/03637758709390233CrossRefGoogle Scholar

Canary, D. J., Cunningham, E. M., & Cody, M. J. (1988). Goal types, gender, and locus of control in managing interpersonal conflict. Communication Research, 15, 426–446. doi:10.1177/009365088015004005CrossRefGoogle Scholar

Cloven, D. H., & Roloff, M. E. (1991). Sense-making activities and interpersonal conflict: Communicative cures for the mulling blues. Western Journal of Speech Communication, 55, 134–158. doi:10.1080/10570319109374376CrossRefGoogle Scholar

Cohan, C. L., & Bradbury, T. N. (1997). Negative life events, marital interaction, and the longitudinal course of newlywed marriage. Journal of Personality and Social Psychology, 73, 114–128. doi:10.1037/0022-3514.73.1.114CrossRefGoogle ScholarPubMed

Comstock, J., & Strzyzewski, K. (1990). Interpersonal interaction on television: Family conflict and jealousy on primetime. Journal of Broadcasting and Electronic Media, 34, 263–282. doi:10.1080/08838159009386742CrossRefGoogle Scholar

Gill, D. S., Christensen, A., & Fincham, F. D. (1999). Predicting marital satisfaction from behavior: Do all roads really lead to Rome? Personal Relationships, 6, 369–387. doi:10.1111/j.1475-6811.1999.tb00198.xCrossRefGoogle Scholar

Gottman, J. M. (1979). Marital interactions: Experimental investigations. New York, NY: Academic Press.Google Scholar

Hahlweg, K. (2004). Kategoriensystem für Partnerschaftliche Interaktion (KPI): Interactional coding system (ICS). In Kerig, P. K. & Baucom, D. H. (Eds.), Couple observational coding systems (pp. 122–142). Mahwah, NJ: Lawrence Erlbaum.Google Scholar

Hellmuth, J. C., & McNulty, J. K. (2008). Neuroticism, marital violence, and the moderating role of stress and behavioral skills. Journal of Personality and Social Psychology, 95, 166–180. doi:10.1037/0022-3514.95.1.166CrossRefGoogle ScholarPubMed

Heyman, R. E., Weiss, R. L., & Eddy, J. M. (1995). Marital Interaction Coding System: Revision and empirical evaluation. Behaviour Research and Therapy, 33, 737–746. doi:10.1016/0005-7967(95)00003-GCrossRefGoogle ScholarPubMed

Keck, K. L., & Samp, J. A. (2007). The dynamic nature of goals and message production as revealed in a sequential analysis of conflict interaction. Human Communication Research, 33, 27–47. doi:10.1111/j.1468-2958.2007.00287.xGoogle Scholar

McNulty, J. D., & Russell, V. M. (2010). When “negative” behaviors are positive: A contextual analysis of the long-term effects of problem-solving behaviors on changes in relationship satisfaction. Journal of Personality and Social Psychology, 98, 587–604. doi:10.1037/a0017479CrossRefGoogle Scholar

McNulty, J. K. (2008). Neuroticism and interpersonal negativity: The independent contributions of perceptions and behaviors. Personality and Social Psychology Bulletin, 34, 1439–1450. doi:10.1177/0146167208322558CrossRefGoogle ScholarPubMed

McNulty, J. K., & Karney, B. R. (2002). Expectancy confirmation in appraisals of marital interactions. Personality and Social Psychology Bulletin, 28, 764–775. doi:10.1177/0146167202289006CrossRefGoogle Scholar

McNulty, J. K., & Karney, B. R. (2004). Positive expectations in the early years of marriage: Should couples expect the best or brace for the worst? Journal of Personality and Social Psychology, 86, 729–743. doi:10.1037/0022-3514.86.5.729CrossRefGoogle ScholarPubMed

Neff, L. A., & Karney, B. R. (2007). Stress crossover in newlywed marriage: A longitudinal and dyadic perspective. Journal of Marriage and Family, 69, 594–607. doi:10.1111/j.1741-3737.2007.00394.xCrossRefGoogle Scholar

Oetzel, J. G., Ting-Toomey, S., Yokochi, Y., Masumoto, T., Yokochi, Y., Pan, X., Takai, J., & Wilcox, R. (2001). Face and facework in conflict: A cross-cultural comparison of China, Germany, Japan, and the United States. Communication Monographs, 68, 235–258. doi:10.1080/03637750128061CrossRefGoogle Scholar

Overall, N. C., Hammond, M. D., McNulty, J. K., & Finkel, E. J. (2016). Power in context: Relationship and situational power interact to predict men’s aggression. Journal of Personality and Social Psychology, 111, 195–217. doi:10.1037/pspi0000059CrossRefGoogle Scholar

Pike, G. R., & Sillars, A. L. (1985). Reciprocity of marital communication. Journal of Social and Personal Relationships, 2, 303–324. doi:10.1177/0265407585023005CrossRefGoogle Scholar

Poole, M. S., Holmes, M., & Desanctis, G. (1991). Conflict management in a computer-supported meeting environment. Management Science, 37, 926–953. doi:10.1287/mnsc.37.8.926CrossRefGoogle Scholar

Rhee, H-S., Pirkul, H., Jacob, V., & Barhki, R. (1995). Effects of computer-mediated communication on group negotiation: An empirical study. Proceedings of the 28th Annual Hawaii International Conference on System Sciences. Wailea, HI.Google Scholar

Shearman, S. M., Dumlao, R., & Kagawa, N. (2011). Cultural variations in accounts by American and Japanese young adults: Recalling a major conflict with parents. Journal of Family Communication, 11, 105–125. doi:10.1080/15267431.2011.554499CrossRefGoogle Scholar

Sillars, A. L. (1981). Attributions and interpersonal conflict resolution. In Harvey, J. H., Ickes, W. J. & Kidd, R. F. (Eds.), New directions in attribution research, Volume 3 (pp. 279–305). Hillsdale, NJ: Erlbaum.Google Scholar

Sillars, A. L. (1985). Interpersonal perception in relationships. In Ickes, W. J. (Ed.), Compatible and incompatible relationships (pp. 277–305). New York, NY: Springer-Verlag.CrossRefGoogle Scholar

Sillars, A. L. (1986). Procedures for coding interpersonal conflict: The Verbal Tactics Coding Scheme (VTCS). Unpublished manuscript, University of Montana.Google Scholar

Sillars, A. L., Coletti, S. F., Parry, D., & Rogers, M. A. (1982). Coding verbal conflict tactics: Nonverbal and perceptual correlates of the “avoidance-distributive-integrative” distinction. Human Communication Research, 9, 83–95. doi:10.1111/j.1468-2958.1982.tb00685.xCrossRefGoogle Scholar

Sillars, A., Holman, A., Richards, A., Jacobs, K., Koerner, A., & Reynolds-Dyk, A. (2014). Conversation and conformity orientations as predictors of observed conflict tactics in parent-adolescent discussions. Journal of Family Communication. 14, 16–31. doi:10.1080/15267431.2013.857327.CrossRefGoogle Scholar

Sillars, A., & Overall, N. C. (2017). Coding observed interaction (pp. 199–216). In VanLear, C. A. & Canary, D. J. (Eds.), Researching communication interaction behavior: A sourcebook of methods and measures. Thousand Oaks, CA: Sage.CrossRefGoogle Scholar

Sillars, A. L., Pike, G. R., Jones, T. S., & Murphy, M. A. (1984). Communication and understanding in marriage. Human Communication Research, 3, 317–350. doi:10.1111/j.1468-2958.1984.tb00022.xCrossRefGoogle Scholar

Sillars, A. L., Weisberg, J., Burggraf, C. S., & Zietlow, P. H. (1990). Communication and understanding revisited: Married couples’ understanding and recall of conversations. Communication Research, 17, 500–502. doi:10.1177/009365090017004006CrossRefGoogle Scholar

Sillars, A. L., & Wilmot, W. W. (1994). Communication strategies in conflict and mediation. In Wiemann, J. & Daly, J. A. (Eds.), Strategic interpersonal communication (pp. 163–190). Hillsdale, NJ: Erlbaum.Google Scholar

Boos, M., & Cornelius, C. (2001). Bedeutung und Erfassung konversationaler Kohärenz in direkter und computervermittelter Kommunikation [Meaning and Measurement of Conversational Coherence in Direct and Computer-mediated Communication]. In Hesse, F.W. & Friedrich, H.F. (Eds.). Partizipation und Interaktion im virtuellen Seminar (pp. 55–80). Muenster, Germany: Waxmann.Google Scholar

Cornelius, C., & Boos, M. (2003). Enhancing mutual understanding in synchronous computer-mediated communication by training: Trade-offs in judgmental tasks. Communication Research, 30, 147–177. doi.org/10.1177/0093650202250874CrossRefGoogle Scholar

Boos, M., Riethmüller, M., & Cornelius, C. (2013). Sozialer Einfluss in Chat‐Gruppen: Geschlechtsspezifische Auswirkungen auf konversationale Partizipation und Kohärenz [Social influence in chat groups: Gender-specific effects on conversational participation and coherence]. Gruppendynamik & Organisationsberatung, 44, 445‐460. doi.org/10.1007/s11612-013-0226-yCrossRefGoogle Scholar

Cappella, J. N. (1994). The management of conversational interaction in adults and infants. In Knapp, M. L. & Miller, G. R. (Eds.), Handbook of Interpersonal Communication (pp. 380–418). Thousand Oaks, CA: Sage.Google Scholar

Cornelius, C. (1996). Themenentwicklung in Gruppendiskussionen [Topic development in group discussions]. University of Konstanz: Unpublished Diploma Thesis.Google Scholar

Cornelius, C. (2001). Gegenseitiges Verständnis in Computerkonferenzen. Voraussetzungen und Folgen konversationaler Kohärenz in Entscheidungsfindungsgruppen im Medienvergleich [Mutual understanding in computer conferences: Conditions and effects of conversational coherence in decision-making groups]. Muenster, Germany: Waxmann.Google Scholar

Cornelius, C., & Boos, M. (1999). Es lohnt sich, kohärent zu sein! [It is worthwile to be coherent!] In Reips, U.-D. (Ed.), Aktuelle Online Forschung – Trends, Techniken, Ergebnisse [Current internet science – trends, techniques, results]. Zürich, Switzerland: Online Press. Retrieved February 12, 2018, from http://iscience.deusto.es/archive/reips/books/tband99/pdfs/a_h/cornelius.pdfGoogle Scholar

Craig, R. T., & Tracy, K. (Eds.), Conversational coherence: Form, structure, and strategy. Beverly Hills, CA: Sage.Google Scholar

Crow, B. K. (1983). Topic shifts in couples’ conversations. In Craig, R. T. & Tracy, K. (Eds.), Conversational coherence: Form, structure, and strategy (pp. 136–156). Beverly Hills, CA: Sage.Google Scholar

Fleiss, J. L. (1981). Statistical methods for rates and proportions (2nd edn.). New York, NY: Wiley.Google Scholar

Grosz, B. J. (1977). The representation and use of focus in a system for understanding dialogs. Proceedings of the Fifth International Joint Conference on Artificial Intelligence (pp. 67–76). Cambridge, Massachusetts. Retrieved February 12, 2018, from www.ijcai.org/Proceedings/77-1/Papers/009.pdfGoogle Scholar

Hewes, D. E. (1996). Small group communication may not influence decision making. An amplification of socio-egocentric theory. In Hirokawa, R. & Poole, M. S. (Eds.), Communication and group decision making (pp. 179–211). Beverly Hills, CA: Sage.CrossRefGoogle Scholar

Luhmann, N. (1972). Einfache Sozialsysteme [Simple social systems]. Zeitschrift für Soziologie, 1, 51–65. doi.org/10.1515/zfsoz-1972-0105.CrossRefGoogle Scholar

Newcomb, T. M. (1959). Individual systems of orientation. In Koch, S. (Ed.), Psychology: A study of a science, Vol. 3 (pp. 384–422). New York, NY: McGraw-Hill.Google Scholar

Ng, S. H., & Bradac, J. J. (1993). Power in language: Verbal communication and social influence. Beverly Hills, CA: Sage.Google Scholar

Pavitt, C., & Johnson, K. K. (1999). An examination of the coherence of group discussions. Communication Research, 26, 303–321. doi.org/10.1177/009365099026003002CrossRefGoogle Scholar

Piontkowski, U., Oehlschlegel-Haubrock, S., & Hoelker, P. (1997). Annaeherung oder Abgrenzung? [Approximation or avoidance?] Zeitschrift für Soziologie, 26, 128–138. doi.org/10.1515/zfsoz-1997-0204CrossRefGoogle Scholar

Reichman, R. (1978). Conversational coherency. Cognitive Science, 2, 283–327. doi.org/10.1207/s15516709cog0204_1Google Scholar

Tracy, K. (1985). Conversational coherence: A cognitively grounded rules approach. In Street, R. L. & Cappella, J. N. (Eds.), Sequence and pattern in communicative behaviour (pp. 30–49). London: Edward Arnold.Google Scholar

Tschan, F. (1995). Communication enhances small group performance if it conforms to task requirements: The concept of ideal communication cycles. Basic and Applied Social Psychology, 17, 371–393. doi.org/10.1207/s15324834basp1703_6CrossRefGoogle Scholar

Van Dijk, T. A. (1977). Text and context. Explorations in the semantics and pragmatics of discourse. New York, NY: Longmann.Google Scholar

Willke, H. (1978). Elemente einer Systemtheorie der Gruppe: Umweltbezug und Prozesssteuerung [Elements of a systems theory of groups: Environment relationship and process steering]. Soziale Welt, 29, 343–357. Retrieved February 12, 2018, from www.jstor.org/stable/40877230Google Scholar

Kolbe, M., Burtscher, M. J., & Manser, T. (2013). Co-ACT: A framework for observing coordination behaviour in acute care teams. BMJ Quality & Safety, 22, 596–605. doi:10.1136/bmjqs-2012-001319.CrossRefGoogle ScholarPubMed

Cicchetti, D. V., & Feinstein, A. R. (1990). High agreement but low kappa: II. Resolving the paradoxes. Journal of Clinical Epidemiology, 43, 551–558. doi:org/10.1016/0895-4356(90)90159-MCrossRefGoogle ScholarPubMed

Feinstein, A. R., & Cicchetti, D. V. (1990). High agreement but low kappa: I. The problems of two paradoxes. Journal of Clinical Epidemiology, 43, 543–549. doi:org/10.1016/0895-4356(90)90158-LCrossRefGoogle ScholarPubMed

Fletcher, G., Flin, R., McGeorge, P., Glavin, R., Maran, N., & Patey, R. (2004). Rating non-technical skills: Developing a behavioral marker system for use in anaesthesia. Cognition, Technology and Work, 165–171.CrossRefGoogle Scholar

Gawande, A. A., Zinner, M. J., Studdert, D. M., & Brennan, T. A. (2003). Analysis of errors reported by surgeons at three teaching hospitals. Surgery, 133, 614–621. doi:10:1067/msy.2003.169CrossRefGoogle ScholarPubMed

Grote, G., Kolbe, M., Zala-Mezö, E., Bienefeld-Seall, N., & Künzle, B. (2010). Adaptive coordination and heedfulness make better cockpit crews. Ergonomics, 52, 211–228. doi:10.1080/00140130903248819CrossRefGoogle Scholar

Kolbe, M., Burtscher, M. J., & Manser, T. (2011). Analyzing communication to understand how healthcare action teams coordinate. Paper presented at the 5th International Workshop on Behavioral Science Applied to Acute Care Teams, Zurich, Switzerland.Google Scholar

Kolbe, M., Burtscher, M. J., Wacker, J., Grande, B., Nohynkova, R., Manser, T., … Grote, G. (2012). Speaking-up is related to better team performance in simulated anesthesia inductions: An observational study. Anesthesia & Analgesia, 115, 1099–1108. doi:10.1213/ANE.0b013e318269cd32CrossRefGoogle ScholarPubMed

Kolbe, M., Grote, G., Waller, M. J., Wacker, J., Grande, B., Burtscher, M., & Spahn, D. (2014). Monitoring and talking to the room: Autochthonous coordination patterns in team interaction and performance. Journal of Applied Psychology, 99, 1254–1267. doi:org/10.1037/a0037877CrossRefGoogle Scholar

Kolbe, M., Künzle, B., Zala-Mezö, E., Wacker, J., & Grote, G. (2009). Measuring coordination behaviour in anaesthesia teams during induction of general anaesthetics. In Flin, R. & Mitchell, L. (Eds.), Safer surgery. Analysing behaviour in the operating theatre (pp. 203–221). Aldershot, UK: Ashgate.Google Scholar

Landis, J. R., & Koch, G. G. (1977). The measurement of observers agreement for categorical data. Biometrics, 33, 159–174. doi:10.2307/2529310CrossRefGoogle ScholarPubMed

Manser, T., Howard, S. K., & Gaba, D. M. (2008). Adaptive coordination in cardiac anaesthesia: A study of situational changes in coordination patterns using a new observation system. Ergonomics, 51, 1153–1178. doi:10.1080/00140130801961919CrossRefGoogle ScholarPubMed

Mazzocco, K., Petitti, D. B., Fong, K. T., Bonacum, D., Brookey, J., Graham, S., … Thomas, E. J. (2009). Surgical team behaviors and patient outcomes. Am J Surg, 197(5), 678–685.CrossRefGoogle ScholarPubMed

Morrison, E. W. (2011). Employee voice behavior: Integration and directions for future research. The Academy of Management Annals, 5(1), 373–412. doi:10.1080/19416520.2011.574506CrossRefGoogle Scholar

Parker, S. H., Yule, S., Flin, R., & McKinley, A. (2011). Towards a model of surgeons’ leadership in the operating room. BMJ Quality & Safety, 20, 570–579. doi:10.1136/bmjqs.2010.040295CrossRefGoogle Scholar

Sundstrom, E., de Meuse, K. P., & Futrell, D. (1990). Work teams. Applications and effectiveness. American Psychologist, 45, 120–133. doi:10.1037/0003-066X.45.2.120CrossRefGoogle Scholar

Thomas, E. J., Sexton, J. B., & Helmreich, R. L. (2004). Translating teamwork behaviours from aviation to healthcare: Development of behavioural markers for neonatal resuscitation. Qual Saf Health Care, 13(suppl 1), i57–i64. doi:10.1136/qshc.2004.009811CrossRefGoogle ScholarPubMed

Tschan, F., Semmer, N. K., Vetterli, M., Gurtner, A., Hunziker, S., & Marsch, S. U. (2011). Developing observational categories for group process research based on task and coordination-requirement analysis: Examples from research on medical emergency-driven teams. In Boos, M., Kolbe, M., Kappeler, P., & Ellwart, T. (Eds.), Coordination in human and primate groups (pp. 93–118). Heidelberg, Germany: Springer.CrossRefGoogle Scholar

Undre, S., Sevdalis, N., & Vincent, C. (2009). Observing and assessing surgical teams: The Observational Teamwork Assessment for Surgery (OTAS). In Flin, R. & Mitchell, L. (Edsr.), Safer surgery. Analysing behaviour in the operating theatre (pp. 83–101). Aldershot, UK: Ashgate.Google Scholar

Weiss, M., Kolbe, M., Grote, G., Dambach, M., Marty, A., Spahn, D. R., & Grande, B. (2014). Agency and communion predict speaking up in acute care teams. Small Group Research, 45, 290–313. doi:10.1177/1046496414531495CrossRefGoogle Scholar

Weiss, M., Kolbe, M., Grote, G., Spahn, D. R., & Grande, B. (2017a). We can do it! Inclusive leader language promotes voice behavior in multi-professional teams. The Leadership Quarterly. Advance online publication. https://doi.org/10.1016/j.leaqua.2017.09.002CrossRefGoogle Scholar

Weiss, M., Kolbe, M., Grote, G., Spahn, D. R., & Grande, B. (2017b). Why didn’t you say something? Using after-event reviews to affect voice behavior and hierarchy beliefs in multi-professional action teams. European Journal of Work and Organization Psychology, 26(1), 66–80. doi:org/10.1080/1359432X.2016.1208652CrossRefGoogle Scholar

Williams, A. L., Lasky, R. E., Dannemiller, J. L., Andrei, A. M., & Thomas, E. J. (2010). Teamwork behaviours and errors during neonatal resuscitation. Quality and Safety in Health Care, 19(1), 60–64.CrossRefGoogle ScholarPubMed

Yule, S., Flin, R., Paterson-Brown, S., & Maran, N. (2006). Non-technical skills for surgeons in the operating room: A review of the literature. Surgery, 139, 140–149.CrossRefGoogle ScholarPubMed

Seelandt, J. C., Tschan, F., Keller, S., Beldi, G., Jenni, N., Kurmann, A., Candinas, D., & Semmer, N. K. (2014). Assessing distractors and teamwork during surgery: Developing an event-based method for direct observation. BMJ Quality & Safety, 23, 918–929. doi:10.1136/bmjqs-2014-002860CrossRefGoogle ScholarPubMed

Bales, R. F. (1950). Interaction process analysis; a method for the study of small groups. Cambridge, MA: Addison-Wesley Press.Google Scholar

Barsade, S. G., & Knight, A. P. (2015). Group affect. Annual Review of Organizational Psychology and Organizational Behavior, 2(1), 21–46. doi:10.1146/annurev-orgpsych-032414-111316CrossRefGoogle Scholar

Bedwell, W. L., Ramsay, P. S., & Salas, E. (2012). Helping fluid teams work: A research agenda for effective team adaptation in healthcare. Translational Behavioral Medicine, 2(4), 504–509. doi:10.1007/s13142-012-0177-9CrossRefGoogle Scholar

Feuerbacher, R. L., Funk, K., Spight, D. H., Diggs, B. S., & Hunter, J. G. (2012). Realistic distractions and interruptions that impair simulated surgical performance by novice surgeons. Archives of Surgery, 147(11), 1026–1030. doi:doi:10.1001/archsurg.2012.1480CrossRefGoogle ScholarPubMed

Flin, R. (2013). Non-technical skills for anaesthetists, surgeons and scrub practitioners (ANTS, NOTSS, and SPLINTS). Retrieved February 16, 2018, from http://patientsafety.health.org.uk/sites/default/files/resources/non_technical_skills_for_anaesthetists_surgeons_and_scrub_practitioners.pdfGoogle Scholar

Futoran, G. C., Kelly, J. R., & McGrath, J. E. (1989). TEMPO: A time-based system for analysis of group interaction process. Basic and Applied Social Psychology, 10(3), 211–232. doi:10.1207/s15324834basp1003_2CrossRefGoogle Scholar

Healey, A. N., Sevdalis, N., & Vincent, C. (2006). Measuring intra-operative interference from distraction and interruption observed in the operating theatre. Ergonomics, 49, 589–604. doi:10.1080/00140130600568899CrossRefGoogle ScholarPubMed

Hodge, B., & Thompson, J. F. (1990). Noise pollution in the operating theatre. Lancet, 335(8694), 891–894. doi:10.1016/0140-6736(90)90486-OCrossRefGoogle ScholarPubMed

Katz, J. D. (2015). Noise in the operating room. Survey of Anesthesiology, 59(1), 60. doi:10.1097/ALN.0000000000000319CrossRefGoogle Scholar

Keller, S., Tschan, F., Beldi, G., Kurmann, A., Candinas, D., & Semmer, N. K. (2016). Noise peaks influence communication in the operating room. An observational study. Ergonomics, 59(12), 1541–1552. doi:10.1080/00140139.2016.1159736CrossRefGoogle ScholarPubMed

Kolbe, M., Künzle, B., Zala-Mezo, E., Wacker, J., & Grote, G. (2009). Measuring coordination behavior in anaesthesia teams during induction of general anaesthetics. In Flin, R. & Mitchell, L. (Eds.), Safer surgery: Analysing behavior in the operating theatre (pp. 203–222). London, UK: Ashgate.Google Scholar

Kurmann, A., Peter, M., Tschan, F., Muhlemann, K., Candinas, D., & Beldi, G. (2011). Adverse effect of noise in the operating theatre on surgical-site infection. British Journal of Surgery, 98(7), 1021–1025. doi:10.1002/bjs.7496CrossRefGoogle ScholarPubMed

Mazzocco, K., Petitti, D. B., Fong, K. T., Bonacum, D., Brookey, J., Graham, S., Lasky, R. E., Sexton, J. B., & Thomas, E. J. (2009). Surgical team behaviors and patient outcomes. American Journal of Surgery, 197(5), 678–685. doi:S0002-9610(08)00459-5 [pii] 10.1016/j.amjsurg.2008.03.002CrossRefGoogle ScholarPubMed

Sevdalis, N., Davis, R., Koutantji, M., Undre, S., Darzi, A., & Vincent, C. A. (2008). Reliability of a revised NOTECHS scale for use in surgical teams. American Journal of Surgery, 196(2), 184–190. doi:0.1016/j.amjsurg.2007.08.070CrossRefGoogle ScholarPubMed

Sevdalis, N., Healey, A. N., & Vincent, C. A. (2007). Distracting communications in the operating theatre. Journal of Evaluation in Clinical Practice, 13(3), 390–394. doi:10.1111/j.1365-2753.2006.00712.xCrossRefGoogle ScholarPubMed

Sevdalis, N., Undre, S., McDermott, J., Giddie, J., Diner, L., & Smith, G. (2014). Impact of intraoperative distractions on patient safety: a prospective descriptive study using validated instruments. World Journal of Surgery, 38(4), 751–758. doi:10.1007/s00268-013-2315-zCrossRefGoogle ScholarPubMed

Tschan, F., Holzer, E., Semmer, N. K., Keller, S., Zimmermann, J., Huber, S. A., Beldi, G., & Stolz, M. (2016). Adjustable Field Notes – A 5$ iPad application to observe team interactions. Paper presented at the 10th International Meeting for Behavioral Science in Surgery & Acute Care Settings, November 11–12, 2016, Aberdeen.Google Scholar

Tschan, F., Seelandt, J., Keller, S., Semmer, N. K., Kurmann, A., Candinas, D., & Beldi, G. (2015). Impact of case-relevant and case-irrelevant communication within the surgical team on surgical site infection. British Journal of Surgery. doi:10.1002/bjs.9927CrossRefGoogle Scholar

Undre, S., Sevdalis, N., & Vincent, C. (2009). Observing and assessing surgical teams: The Observational Teamwork Assessment for Surgery (OTASS). In Flin, R. & Mitchell, L. (Eds.), Safer surgery. Analysing behaviour in the operating theatre (pp. 83–102). London, UK: Ashgate.Google Scholar

Wadhera, R. K., Parker, S. H., Burkhart, H. M., Greason, K. L., Neal, J. R., Levenick, K. M., Wiegmann, D. A., & Sundt, T. M. 3rd. (2010). Is the “sterile cockpit” concept applicable to cardiovascular surgery critical intervals or critical events? The impact of protocol-driven communication during cardiopulmonary bypass. Journal of Thoracic and Cardiovascular Surgery, 139(2), 312–319. doi:10.1016/j.jtcvs.2009.10.048CrossRefGoogle ScholarPubMed

Way, T. J., Long, A., Weihing, J., Ritchie, R., Jones, R., Bush, M., & Shinn, J. B. (2013). Effect of noise on auditory processing in the operating room. Journal of the American College of Surgery, 216(5), 933–938. doi:10.1016/j.jamcollsurg.2012.12.048.CrossRefGoogle ScholarPubMed

Yule, S., Flin, R., Maran, N., Rowley, D., Youngson, G., & Paterson-Brown, S. (2008). Surgeons’ non-technical skills in the operating room: Reliability testing of the NOTSS behavior rating system. World Journal of Surgery, 32(4), 548–556. doi:10.1007/s00268-007-9320-zCrossRefGoogle ScholarPubMed

Zheng, B., Fung, E., Fu, B., Panton, N. M., & Swanstrom, L. L. (2015). Surgical team composition differs between laparoscopic and open procedures. Surgical Endoscopy and Other Interventional Techniques, 29(8), 2260–2265. doi:10.1007/s00464-014-3938-3CrossRefGoogle ScholarPubMed

Harvey, S., & Kou, C. Y. (2013). Collective engagement in creative tasks: The role of evaluation in the creative process in groups. Administrative Science Quarterly, 58, 346–386. doi:10.1177/0001839213498591CrossRefGoogle Scholar

Bales, R. F. (1950). A set of categories for the analysis of small group interaction. American Sociological Review, 15, 257–263. doi:10.2307/2086790CrossRefGoogle Scholar

Bales, R. F., & Cohen, S. P. (1979). SYMLOG: A system for the multiple level observation of groups. New York, NY: Free Press.Google Scholar

Collins, A., & Loftus, E. (1975) The spreading-activation theory of semantic processing. Psychological Review, 82, 407–428. doi:dx.doi.org/10.1037/0033-295X.82.6.407CrossRefGoogle Scholar

Diehl, M., & Stroebe, S. (1987). Productivity loss in brainstorming groups: Toward the solution of a riddle. Journal of Personality and Social Psychology, 53, 497–509. doi:dx.doi.org/10.1037/0022-3514.53.3.497CrossRefGoogle Scholar

Diehl, M., & Stroebe, S. (1991). Productivity loss in brainstorming groups: Tracking down the blocking effect. Journal of Personality and Social Psychology, 61, 392–403. doi:dx.doi.org/10.1037/0022-3514.61.3.392CrossRefGoogle Scholar

Fahy, P. J. (2006). Online and face-to-face group interaction processes compared using Bales’ Interaction Process Analysis (IPA). European Journal of Open, Distance, and E-learning, 1. Retrieved July 7, 2016 from www.eurodl.org/materials/contrib/2006/Patrick_J_Fahy.htmGoogle Scholar

George, J. M. (2007). Creativity in organizations. Academy of Management Annals, 1, 439–477. doi:doi.org/10.1080/078559814CrossRefGoogle Scholar

Gersick, C. J. (1988). Time and transition in work teams: Toward a new model of group development. Academy of Management Journal, 31, 9–41. doi:10.2307/256496CrossRefGoogle Scholar

Hargadon, A. B., & Bechky, B. A. (2006). When collections of creative become creative collectives: A field study of problem solving at work. Organization Science, 17, 484–500. doi:doi.org/10.1287/orsc.1060.0200CrossRefGoogle Scholar

Harvey, S., Currall, S. C., & Hammer, T. (in press). Decision diversion in diverse teams: Findings from inside a corporate boardroom. Academy of Management Discoveries. doi:10.5465/amd.2015.0129.CrossRefGoogle Scholar

Jackson, M. H., & Poole, M. S. (2003). Idea-generation in naturally occurring contexts. Human Communication Research, 29, 560–591. doi:10.1111/j.1468-2958.2003.tb00856.xGoogle Scholar

Kauffeld, S., & Lehmann-Willenbrock, N. (2012). Meetings matter: Effects of team meetings on organizational success. Small Group Research, 43, 130–158. doi:doi.org/10.1177/1046496411429599CrossRefGoogle Scholar

Kurtzberg, T. R. & Amabile, T. M. (2000). From Guilford to creative synergy: Opening the black box of team-level creativity. Creativity Research Journal, 13, 285–294. doi:doi-org.ucd.idm.oclc.org/10.1207/S15326934CRJ1334_06CrossRefGoogle Scholar

Landis, J. R., & Koch, G. G. (1977). The measurement of observers agreement for categorical data. Biometrics, 33, 159–174. doi:10.2307/2529310CrossRefGoogle ScholarPubMed

Langley, A. (1999). Strategies for theorizing from process data. Academy of Management Review, 24, 691–710. doi:10.5465/AMR.1999.2553248CrossRefGoogle Scholar

Litchfield, R. (2008). Brainstorming reconsidered: A goal-based view. Academy of Management Review, 33, 649–668. doi:10.5465/AMR.2008.32465708CrossRefGoogle Scholar

Long-Lingo, E., & O’Mahony, S. (2010). Nexus work: Brokerage on creative projects. Administrative Science Quarterly, 55, 47–81. doi:doi.org/10.2189/asqu.2010.55.1.47CrossRefGoogle Scholar

Mannix, E., & Neale, M. A. 2005. What differences make a difference? The promise and reality of diverse teams in organizations. Psychological Science in the Public Interest, 6, 31–55. doi:10.1111/j.1529-1006.2005.00022.xCrossRefGoogle ScholarPubMed

McGrath, J. (1984). Groups: Interaction and performance. Englewood Cliffs, NJ: Prentice Hall.Google Scholar

Milliken, F. J., & Martins, L. L. 1996. Searching for common threads: Understanding the multiple effects of diversity in organizational groups. Academy of Management Review, 21, 402–433. doi:10.5465/AMR.1996.9605060217CrossRefGoogle Scholar

Nemeth, C. J. (1986). Differential contributions of majority and minority influence. Psychological Review, 93(1), 23–32. doi:dx.doi.org.ucd.idm.oclc.org/10.1037/0033-295X.93.1.23CrossRefGoogle Scholar

Nemeth, C. J. (1997). Managing innovation: When less is more. California Management Review, 40, 59–74. doi:doi.org/10.2307/41165922CrossRefGoogle Scholar

Osborn, A. (1953). Applied imagination. New York, NY: Scribner.Google Scholar

Paulus, P. B., & Yang, H. (2000). Idea generation in groups: A basis for creativity in organizations. Organizational Behavior and Human Decision Processes, 82, 76–87. doi:10.1006/obhd.2000.2888CrossRefGoogle Scholar

Sacramento, C. A, Dawson, J. F., & West, M. A. (2008). Team creativity: More than the sum of its parts? In Mumford, M. D., Hunter, S. T., & Bedell-Avers, K. E. (Eds.), Research in multi-level issues, vol. 7: Multi-level issues in creativity and innovation (pp. 269–287). Bingley, UK: Emerald Books.Google Scholar

Schulz-Hardt, S., Brodbeck, F. C., Mojzisch, A., Kerschreiter, R., & Frey, D. (2006). Group decision making in hidden profile situations: Dissent as a facilitator for decision quality. Journal of Personality and Social Psychology, 91, 1080–1093. doi:10.1037/0022-3514.91.6.1080CrossRefGoogle ScholarPubMed

Brodbeck, F. C., Kerschreiter, R., Mojzisch, A., & Schulz-Hardt, S. (2007). Group decision making under conditions of distributed knowledge: The information asymmetries model. Academy of Management Review, 32, 459–479. doi:10.5465/AMR.2007.24351441CrossRefGoogle Scholar

Davis, J. H. (1973). Group decision and social interaction: A theory of social decision schemes. Psychological Review, 80, 97–125. doi:10.1037/h0033951CrossRefGoogle Scholar

De Wilde, T. R. W., Ten Velden, F. S., & De Dreu, C. K. W. (2017). The neuropeptide oxytocin enhances information sharing and group decision making quality. Nature: Scientific Reports, 7, 40622. doi:10.1038/srep40622Google ScholarPubMed

Greitemeyer, T., Schulz-Hardt, S., Brodbeck, F. C., & Frey, D. (2006). Information sampling and group decision making: The effects of an advocacy decision procedure and task experience. Journal of Experimental Psychology: Applied, 12, 31–42. doi:10.1037/1076-898x.12.1.31Google ScholarPubMed

Kolb, M. R., & van Swol, L. M. (2016). Manipulating a synchronous or separatist group orientation to improve performance on a hidden profile task. Group Processes & Intergroup Relations. doi:10.1177/1368430216647188CrossRefGoogle Scholar

Larson, J. R. Jr., Foster-Fishman, P. G., & Keys, C. B. (1994). Discussion of shared and unshared information in decision-making groups. Journal of Personality and Social Psychology, 67, 446–461. doi:10.1037/0022-3514.67.3.446CrossRefGoogle Scholar

Lightle, J. P., Kagel, J. H., & Arkes, H. R. (2009). Information exchange in group decision making: The hidden profile problem reconsidered. Management Science, 55, 568–581. doi:10.1287/mnsc.1080.0975CrossRefGoogle Scholar

Lu, L., Yuan, Y. C., & McLeod, P. L. (2012). Twenty-five years of hidden profiles in group decision making. Personality and Social Psychology Review, 16, 54–75. doi:10.1177/1088868311417243CrossRefGoogle ScholarPubMed

Maciejovsky, B., & Budescu, D. V. (2013). Markets as a structural solution to knowledge-sharing dilemmas. Organizational Behavior and Human Decision Processes, 120, 154–167. doi:10.1016/j.obhdp.2012.04.005CrossRefGoogle Scholar

Microsoft. (2016). Microsoft Office Excel.Google Scholar

Nevicka, B., Ten Velden, F. S., De Hoogh, A. H. B., & Van Vianen, A. E. M. (2011). Reality at odds with perceptions. Psychological Science, 22, 1259–1264. doi:10.1177/ 0956797611417259CrossRefGoogle ScholarPubMed

Sassenberg, K., Landkammer, F., & Jacoby, J. (2014). The influence of regulatory focus and group vs. individual goals on the evaluation bias in the context of group decision making. Journal of Experimental Social Psychology, 54, 153–164. doi:10.1016/j.jesp.2014.05.009CrossRefGoogle Scholar

Schulz-Hardt, S., Giersiepen, A., & Mojzisch, A. (2016). Preference-consistent information repetitions during discussion: Do they affect subsequent judgments and decisions? Journal of Experimental Social Psychology, 64, 41–49. doi:10.1016/j.jesp.2016.01.009CrossRefGoogle Scholar

Schulz-Hardt, S., & Mojzisch, A. (2012). How to achieve synergy in group decision making: Lessons to be learned from the hidden profile paradigm. European Review of Social Psychology, 23, 305–343. doi:10.1080/10463283.2012.744440CrossRefGoogle Scholar

Sohrab, S. G., Waller, M. J., & Kaplan, S. (2015). Exploring the hidden-profile paradigm: A literature review and analysis. Small Group Research, 46, 489–535. doi:10.1177/1046496415599068CrossRefGoogle Scholar

Stasser, G., Abele, S., & Parsons, S. V. (2012). Information flow and influence in collective choice. Group Processes & Intergroup Relations, 15, 619–635. doi:10.1177/1368430212453631CrossRefGoogle Scholar

Stasser, G., & Davis, J. H. (1981). Group decision making and social influence: A social interaction sequence model. Psychological Review, 88, 523–551. doi:10.1037/0033-295X.88.6.523CrossRefGoogle Scholar

Stasser, G., & Stewart, D. (1992). Discovery of hidden profiles by decision-making groups: Solving a problem versus making a judgment. Journal of Personality and Social Psychology, 63, 426–434. doi:10.1037/0022-3514.63.3.426CrossRefGoogle Scholar

Stasser, G., Taylor, L. A., & Hanna, C. (1989). Information sampling in structured and unstructured discussions of three- and six-person groups. Journal of Personality and Social Psychology, 57, 67–78. doi:10.1037/0022-3514.57.1.67CrossRefGoogle Scholar

Stasser, G., & Titus, W. (1985). Pooling of unshared information in group decision making: Biased information sampling during discussion. Journal of Personality and Social Psychology, 48, 1467–1478. doi:10.1037/0022-3514.48.6.1467CrossRefGoogle Scholar

Stasser, G., & Titus, W. (2003). Hidden profiles: A brief history. Psychological Inquiry, 14, 304–313. doi:10.1080/1047840X.2003.9682897CrossRefGoogle Scholar

Stasser, G., Vaughan, S. I., & Stewart, D. D. (2000). Pooling unshared information: The benefits of knowing how access to information is distributed among group members. Organizational Behavior and Human Decision Processes, 82, 102–116. doi:10.1006/obhd.2000.2890CrossRefGoogle Scholar

The Document Foundation. (2017). LibreOffice Calc. Retrieved from www.libreoffice.orgGoogle Scholar

Thürmer, J. L., Wieber, F., & Gollwitzer, P. M. (2015). A self-regulation perspective on hidden-profile problems: If–then planning to review information improves group decisions. Journal of Behavioral Decision Making, 28, 101–113. doi:10.1002/bdm.1832CrossRefGoogle Scholar

Winquist, J. R., & Larson, J. R. Jr. (1998). Information pooling: When it impacts group decision making. Journal of Personality and Social Psychology, 74, 371–377. doi:10.1037/0022-3514.74.2.371CrossRefGoogle Scholar

Brauner, E. (2006). Kodierung transaktiver Wissensprozesse (TRAWIS). Ein Verfahren zur Erfassung von Wissenstransfer in Interaktionen [Transactive Knowledge Coding System (TRAWIS): A schema for the assessment of knowledge transfer in interactions]. Zeitschrift für Sozialpsychologie [Journal of Social Psychology], 37, 99–112. [Available in English from the author] http://dx.doi.org/10.1024/0044-3514.37.2.99CrossRefGoogle Scholar

Bakeman, R., & Gottman, J. M. (1997). Observing interaction: An introduction to sequential analysis. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar

Brauner, E. (2002). Transactive knowledge systems in groups and organizations. Habilitationsschrift, Germany: Humboldt-University in Berlin.Google Scholar

Brauner, E., Kauffeld, S., Siem, B. & Buschek, S. (unpublished data). Competencies in transactive knowledge systems in groups of practitioners. Process analyses with the Cassel Competence Grid and Transactive Knowledge Coding (TRAWIS).Google Scholar

Landis, R. D., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159–174.CrossRefGoogle ScholarPubMed

Moreland, R. L., Argote, L., & Krishnan, R. (1996). Socially shared cognition at work: Transactive memory and group performance. In Nye, J. L. & Brower, A. M. (Eds.), What’s social about social cognition? Research on socially shared cognition in small groups (pp. 57–84). Thousand Oaks, CA: Sage.CrossRefGoogle Scholar

Piontkowski, U., Böing-Messing, E., Hartmann, J., Keil, W., & Laus, F. (2003). Transaktives Gedächtnis, Informationsintegration und Entscheidungsfindung im Medienvergleich [Transactive memory, knowledge integration, and decision making in a comparison of media]. Zeitschrift für Medienpsychologie, 15, 60–68. https://doi.org/10.1026//1617-6383.15.2.60CrossRefGoogle Scholar

Stachowski, A. A., Kaplan, S. A., & Waller, M. J. (2009). The benefits of flexible team interaction during crisis. Journal of Applied Psychology, 94, 1536–1543. http://dx.doi.org/10.1037/a0016903CrossRefGoogle Scholar

Wegner, D. M. (1995). A computer network model of human transactive memory. Social Cognition, 13, 319–339. http://dx.doi.org/10.1521/soco.1995.13.3.319CrossRefGoogle Scholar

Wegner, D. M., Giuliano, T., & Hertel, P. T. (1985). Cognitive interdependence in close relationships. In Ickes, W. I. (Ed.), Compatible and incompatible relationships (pp. 253–276). New York, NY: Springer.CrossRefGoogle Scholar

Rackham, N., Honey, P., & Colbert, M. (1971). Developing interactive skills. Guilsborough, Northants: Wellens Publishing.Google Scholar

Rackham, N., & Morgan, T. (1977). Behaviour analysis in training. Maidenhead, Berkshire: McGraw-Hill Book Co Ltd.Google Scholar

Bales, R. F. (1950). Interaction process analysis: A method for the study of small groups. Cambridge, MA: Addison Wesley.Google Scholar

DeShon, R. P., Kozlowski, S. W., Schmidt, A. M., Milner, K. R., & Wiechmann, D. (2004). A multiple-goal, multilevel model of feedback effects on the regulation of individual and team performance. Journal of Applied Psychology, 89(6), 1035–1056. http://dx.doi.org/10.1037/0021-9010.89.6.1035CrossRefGoogle ScholarPubMed

Evison, R., & Ronaldson, J. B. (1975). A behaviour category instrument for analysing counselling interactions. British Journal of Guidance and Counselling, 3(1), 82–92. http://dx.doi.org/10.1080/03069887508256301CrossRefGoogle Scholar

Farley, S., Nicolson, R., Rackham, N., Evison, R., & Dawson, J. (2016). The Behaviour in Teams (BIT) approach to providing team process feedback in meetings: A pilot study and research proposal. The Institute of Work Psychology International Conference, June, 23–21, 2016. Sheffield, United Kingdom.Google Scholar

Futoran, G. C., Kelly, J. R., & McGrath, J. E. (1989). TEMPO: A time-based system for analysis of group interaction process. Basic and Applied Social Psychology, 10(3), 211–232. http://dx.doi.org/10.1207/s15324834basp1003_2CrossRefGoogle Scholar

Gabelica, C., Van den Bossche, P., De Maeyer, S., Segers, M., & Gijselaers, W. (2014). The effect of team feedback and guided reflexivity on team performance change. Learning and Instruction, 34, 86–96. http://dx.doi.org/10.1016/j.learninstruc.2014.09.001CrossRefGoogle Scholar

Gabelica, C., Van den Bossche, P., Segers, M., & Gijselaers, W. (2012). Feedback, a powerful lever in teams: A review. Educational Research Review, 7(2), 123–144. http://dx.doi.org/10.1016/j.edurev.2011.11.003CrossRefGoogle Scholar

Hansen, R. S. (2006). Benefits and problems with student teams: Suggestions for improving team projects. Journal of Education for Business, 82(1), 11–19. http://dx.doi.org/10.3200/JOEB.82.1.11-19CrossRefGoogle Scholar

Hey, A. H., Pietruschka, S., Bungard, W., & Joens, I. (2000). Feedback as a supporting system for work groups. In Vartiainen, M., Avallone, F., & Anderson, N. (Eds.), 67 Innovative theories, tools, and practices in work and organizational psychology (pp. 125–140). Seattle, WA: Hogrefe & Huber Publishers.Google Scholar

Heyns, R. W., & Zander, A. F. (1953). Observation of group behavior. In Festinger, L. & Katz, D. (Eds.), Research methods in the behavioral sciences (pp. 381–417). New York, NY: Holt, Rinehart and Winston.Google Scholar

Hughes, A. M., Gregory, M. E., Joseph, D. L., Sonesh, S. C., Marlow, S. L., Lacerenza, C. N., Benishek, L.E., King, H.B., & Salas, E. (2016). Saving lives: A meta-analysis of team training in healthcare. The Journal of Applied Psychology, 101(9), 1266–1304. http://dx.doi.org/10.1037/apl0000120CrossRefGoogle ScholarPubMed

Johnson, M. D., Hollenbeck, J. R., Scott DeRue, D., Barnes, C. M., & Jundt, D. (2013). Functional versus dysfunctional team change: Problem diagnosis and structural feedback for self-managed teams. Organizational Behavior and Human Decision Processes, 122(1), 1–11. http://dx.doi.org/10.1016/j.obhdp.2013.03.006CrossRefGoogle Scholar

Kauffeld, S. (2006). Self‐directed work groups and team competence. Journal of Occupational and Organizational Psychology, 79(1), 1–21. http://dx.doi.org/10.1348/096317905X53237CrossRefGoogle Scholar

Kauffeld, S., & Lehmann-Willenbrock, N. (2012). Meetings matter: Effects of team meetings on team and organizational success. Small Group Research, 43(2), 130–158. http://dx.doi.org/10.1177/1046496411429599CrossRefGoogle Scholar

Konradt, U., Schippers, M. C., Garbers, Y., & Steenfatt, C. (2015). Effects of guided reflexivity and team feedback on team performance improvement: The role of team regulatory processes and cognitive emergent states. European Journal of Work and Organizational Psychology, 24(5), 777–795. http://dx.doi.org/10.1080/1359432X.2015.1005608CrossRefGoogle Scholar

Leshed, G., Perez, D., Hancock, J. T., Cosley, D., Birnholtz, J., Lee, S., McLeod, P. L., & Gay, G. (2009). Visualizing real-time language-based feedback on teamwork behavior in computer-mediated groups. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 537–546). ACM. http://dx.doi.org/10.1145/1518701.1518784CrossRefGoogle Scholar