IT Enabled Collaboration for Development

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    Selecting Open Innovation Ideas in Teams vs. Nominal Groups: Exploring the Effects of Idea Quantity and Idea Assignment on Idea Selection Quality and Satisfaction with Process
    ( 2022-01-04) Fu, Shixuan ; Cheng, Xusen ; De Vreede, Triparna ; De Vreede, Gert-Jan
    Idea selection is a critical activity in open innovation crowdsourcing projects. Yet, the generation of vast amounts of ideas makes it cognitively challenging to identify the subset of ideas that are worthy of further consideration. We conducted an experiment to explore the influence of idea quantity and idea sharedness on idea selection outcomes evaluated by crowds in the form of teams and nominal groups. We found that higher idea quantity is positively associated with idea selection quality and negatively associated with satisfaction with process. Further, team idea selection quality outperformed individual idea selection quality in both shared information groups and low idea quantity groups. We did not find significant differences between group idea selection quality and individual idea selection quality in the heterogeneous information groups and high idea quantity groups. Theoretical contributions and practical implications are discussed.
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    Assessing Trust in Online Collaboration in E-government during the COVID-19 pandemic: An Employee Perspective
    ( 2022-01-04) Gong, Wankun ; Bao, Ying
    Due to the outbreak of the COVID-19 pandemic, firms and institutions have to shift to work from home to prevent the spreading of the pandemic. As a public sector, employees in government institutions also collaborate online during the lockdown. Collaboration online has been identified as a challenge for employees. While our understanding of how employees’ perception and trust of the e-government is still limited. To address this research gap, this study intends to investigate the antecedents of employees’ trust in e-government during their work process in the new normal. By conducting a qualitative study with 14 in-depth interviews with employees with e-government experience during the COVID-19 pandemic, we extracted several key antecedents of employees’ trust in e-government. Based on the qualitative data analysis, a theoretical model of trust antecedents was proposed. Our study provides a deep understanding of the specific antecedents of employees’ trust in the e-government context.
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    Introduction to the Minitrack on IT Enabled Collaboration for Development
    ( 2022-01-04) Cheng, Xusen ; Bajwa, Deepinder ; Yan, Xiangbin