Creativity: Research and Practice

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    Does Technology Enabled Design-Thinking Influence Digital Innovation? An Innovation Affordance Perspective
    ( 2019-01-08) Shirish, Anuragini ; Boughzala, Imed ; Srivastava, Shirish C.
    Though prior research recognizes the vital role of the ‘innovation agents’ in effectuating digital innovation, little attention has been given to examine the role of ‘innovation affordances’. Drawing on digital innovation literature, we conceptualize the influence of both —‘innovation agent’ and ‘innovation affordance’ factors on the extent of digital innovation. We then test the theorized model via a quasi-experimental study, where the extent of digital innovation from a technology enabled design-thinking creative process is examined. Though the results from our study demonstrate the salience of both ‘innovation agent’ and ‘innovation affordance’ factors, the latter operationalized through technology enabled design-thinking process, the construct for which is developed in our study, has a stronger influence on digital innovation. Our research emphasizes the need for having a well-structured technology enabled creative process to actualize the innovation affordances. The findings have significant theoretical and practical implications.
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    Exploring Idea Convergence and Conceptual Combination in Open Innovative Crowdsourcing from a Cognitive Load Perspective
    ( 2019-01-08) Fu, Shixuan ; Cheng, Xusen ; de Vreede, Triparna ; de Vreede, Gert-Jan ; Seeber, Isabella ; Maier, Ronald ; Weber, Barbara
    Open innovative crowdsourcing has received increasing attention. This study sets out to investigate idea convergence and generation in open innovative crowdsourcing communities from a cognitive load perspective to explore aspects of cognitive idea processing. We have conducted a laboratory experiment to investigate the effects of three manipulations (task complexity, idea presentation, and procedural guidance) on three types of cognitive load and the following idea convergence and generation quality. We have also examined the influencing mechanisms of cognitive loads on satisfaction with process and satisfaction with outcome. Our results show that the three cognitive loads have significant effects: Higher intrinsic cognitive load significantly leads to lower satisfaction with process and outcome. Higher extraneous cognitive load significantly leads to satisfaction with process. Higher germane cognitive load significantly leads to higher convergence quality and lower new idea generation quality.
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    It All Starts with a Good Idea: A New Coding System for Analyzing Idea Finding Interactions (AIFI)
    ( 2019-01-08) Endrejat, Paul ; Meinecke, Annika ; Kauffeld, Simone
    In today’s fast-changing world, teams need to develop a sound capacity for finding new ideas. However, we know little about the behavioral micro-dynamics that are at the core of creativity in teams. To overcome these shortcomings, we present a new behavioral coding system for analyzing idea finding interactions (AIFI). The AIFI system aims to help researchers study fine-grained creative team processes. In terms of practical application, the AIFI system can serve to visualize the patterns of Idea finding over time. The codes of the AIFI system were derived both inductively (analyzing videos of innovation teams) and deductively (consulting existing coding systems). A first application of the AIFI system showed moderate agreement among coders, speaking to its interrater reliability. Further, we examined distinct relationships between the codes of the AIFI system and (1) ratings of idea quality provided by external raters and (2) team members’ perceived effectiveness.
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    Understanding the Effect of Task Descriptions on User Participation in Crowdsourcing Contests: A Linguistic Style Perspective
    ( 2019-01-08) Wu, Shuang ; Liu, Qian ; Sun, Baowen ; Zhao, Xin
    Many employers are struggling with how to deliver attractive tasks on crowdsourcing platforms, where users can be effectively integrated into a company’s tasks. In this study, the linguistic style of crowdsourcing task descriptions is investigated, and an analysis is conducted on how such linguistic styles are related to a task description’s success in attracting participants. Based on uncertainty reduction theory as well as source credibility theory, an empirical analysis of 2,014 designing contests demonstrates that certain linguistic styles will reduce the uncertainty perceived by crowdsourcing solvers and increase employers’ credibility, generating positive effects on participation. It is also found that these observed effects are moderated by the magnitude of the rewards offered for completing crowdsourcing tasks. The results of this study inform the theories concerned on crowdsourcing participation, linguistics, as well as psychological processes, while offering the industry insight on how to describe their own crowdsourcing tasks better.
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    Introduction to the Minitrack on Creativity: Research and Practice
    ( 2019-01-08) de Vreede, Triparna ; de Vreede, Gert-Jan ; Seeber, Isabella