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Identifying challenges in crowdfunded product development: a review of Kickstarter projects

Published online by Cambridge University Press:  23 October 2018

Lasse Skovgaard Jensen*
Affiliation:
Technical University of Denmark, Department of Mechanical Engineering, Section of Engineering Design and Product Development, Produktionstorvet Building 426, 2800 Kgs. Lyngby, Denmark
Ali Gürcan Özkil
Affiliation:
Technical University of Denmark, Department of Mechanical Engineering, Section of Engineering Design and Product Development, Produktionstorvet Building 426, 2800 Kgs. Lyngby, Denmark
*
Email address for correspondence: lsje@mek.dtu.dk
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Abstract

This paper provides an empirical review of the reward-based crowdfunding platform Kickstarter.com, with the aim to explore and identify challenges in crowdfunded product development, which consequently can lead to failure of the crowdfunding campaign. The review was based on the analysis of a total of 144 successfully funded ‘technology’ campaigns, which all concerned the creation of physical consumer hardware preordered by campaign backers. The analysis was built around a failure mode model, which was established through a pre-study. The study reveals that (i) no more than 32% of the campaigns managed to deliver the crowdfunded products on time, and, if campaigns are delayed, (ii) there is a significantly higher probability that the delivered products might lack expected attributes. The causes for delay have many reasons, but (iii) a set of particular product development issues were identified as the main challenges. A better understanding of crowdfunded product development can help researchers and practitioners to better understand and utilize the opportunities of this new product development paradigm.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
Distributed as Open Access under a CC-BY 4.0 license (http://creativecommons.org/licenses/by/4.0/)
Copyright
Copyright © The Author(s) 2018
Figure 0

Figure 1. Overview of nine main topics of a reward-based crowdfunding campaign timeline. The funding deadline of the campaign represents the ‘all or nothing deadline’. This is indicated by the transition to a dotted line as only successfully funded campaigns go through the remaining steps. The figure is based on observations by the authors.

Figure 1

Figure 2. Miito is a ‘sustainable’ alternative to the electric kettle. It was designed by a team of engineers and designers; the team demonstrated working prototypes in their campaign material, and presented a detailed plan for development and manufacturing. In March 2017, the campaign team announced the halt of the project due to product development challenges (Picture from campaign at Kickstarter.com).

Figure 2

Figure 3. The workflow of the study. The process started with the initial failure mode model (FMM), which was compiled from the literature and refined through the pre-study. The final FMM was used as an assessment tool throughout the analysis, which included individual assessment of the original campaign material, campaign updates after funding and comments of the backers.

Figure 3

Table 1. Overview of the data corpus. 30 campaigns were included in the pre-study and 114 in the analysis presented. Of these, 69 has delivered products to their backers. Out of the 45 campaigns that has not yet delivered, 30 are still active. 15 campaigns are stalled being either officially left behind or lacking response from creators

Figure 4

Figure 4. Example from the Vaavud Wind Meter campaign at Kickstarter.com. Note how the campaign besides the campaign status in terms of funding, campaign video and written background material also features different tabs with updates from the campaign initiators and comments from backers. In the right part of the figure a sample of comments are shown.

Figure 5

Table 2. The failure mode model. Incidents in Category 1 builds primarily on feedback by backers. Incidents registered in Category 2 relates primarily to updates by the campaign initiators. A description of all failure modes is found in the middle column

Figure 6

Figure 5. Overview of the campaigns ability to deliver products to campaigns backers. The legends to the left presents an overall categorization of campaigns in terms of product delivery. The legends to the right represents the three color codes in the stack-up of campaigns delayed by more than 12 months.

Figure 7

Figure 6. Representation of reported lack of product features for campaigns that delivered products on time and delayed product delivery. Delayed products were reported to lack features significantly more often. Note that the $x$-axis represents the percentage of campaigns.

Figure 8

Figure 7. Representation of reported build quality issues, design flaws and usability issues for products delivered in time and delayed delivery of products. The results present that design flaws and usability issues were increasingly reported for delayed products, whereas build quality issues did not increase. Note that the $x$-axis represents the number of campaigns.

Figure 9

Figure 8. Example of a campaign update. Updates communicate the progress of the campaign to their backers. Projects that are delayed or undergoing significant design changes often provide updates that detail reasoning behind the delays or design changes. We have extracted information from campaign updates to assess the reported issues regarding design, manufacturing, operations and management.

Figure 10

Figure 9. Representation of the top three failure modes recorded under the design and manufacture heading. The results are presented in three categories according to their timeliness. Delivered on time, delivered delayed and not delivered. It is seen how the recorded challenges overall are increasing along with increased delay. Note that the $x$-axis represents the number of campaigns.

Figure 11

Figure 10. Representation of the top three failure modes on management and operations. The results are presented in three categories according to their timeliness. Management challenges were significantly more often reported among the campaigns that did not yet deliver products. Whereas only few incidents (4) were recorded for the campaigns that delivered in time. In total 13 incidents were recorded for the campaigns that delivered delayed. Note that the $x$-axis represents the number of campaigns.