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Supervisor character and behavior are key components of an organization's ethical fabric that should play a role in employee helping behavior. However, research has not fully distinguished how these factors are interrelated. The current study explores these relationships by developing a deeper understanding of ethical language in organizations via thick ethical concepts found in simulation software, supported by affect control theory. Software formulae in these simulations were developed via empirical research conducted over several decades. Simulations provided predictions of employee helpfulness in response to encounters with supervisors of varying ethical characters, enacting a variety of behaviors. The likely impact of supervisor character on employee helpfulness is more substantial than the impact of supervisor behavior. New insights emerged related to underlying complexities of ethical languages, such as the role of cultural meanings of language terms. These outcomes, as well as the associated implications, research limitations, and suggestions for future research, are discussed.
Technology entrepreneurship has been receiving growing importance as an effective instrument to promote national economic growth, both from empirical researchers and policymakers. India has emerged as the third largest base for high-tech start-ups in the world. Although there is a surge in start-up creation rates in India, little is known about factors required for these start-ups to survive, sustain and grow into large enterprises, particularly in the context of emerging economies like India. This book reviews the entrepreneurial, firm-specific and external environment-specific aspects that influence the key lifecycle stages of high-tech start-ups and identifies the key factors that influence each milestone. Existing literature in this subject has limited studies on the structure of the high-tech start-up sector and processes and strategies adapted by them. This book aims to address this gap, analyzing case studies and empirical data, and provides a multidimensional framework to understand the life cycle of high-tech start-ups.