IT Enabled Collaboration for Development
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ItemOvercoming Innovation Deficiencies in Mexico: Use of Open Innovation through IT and Closed Innovation through IT by Small and Medium Enterprises( 2021-01-05)Innovation is critical for development, especially in less-developed regions. We examine how Open Innovation through IT (an external collaboration approach) and Closed Innovation through IT (an internal collaboration approach) compare in helping small and medium enterprises overcome two challenges to achieve innovation: technological deficiency and government support deficiency. We hypothesize that Closed Innovation through IT is more important than Open Innovation through IT in helping firms overcome lack of technological abilities. We also hypothesize that Open Innovation through IT is more important than Closed Innovation through IT in helping firms overcome lack of government support through inter-organizational interactions and collaboration. Findings from a unique dataset of 389 small and medium enterprises in Mexico support our hypotheses. Our study highlights that small and medium enterprises can achieve greater innovation returns by orienting their IT-enabled innovation efforts in an open or closed fashion to address a specific deficiency.
ItemInvestigating the relationship between AI and trust in human-AI collaboration( 2021-01-05)With the increasing development of information technology, the implementation of artificial intelligence (AI) has been widespread and has empowered virtual team collaboration by increasing collaboration efficiency and achieving superior collaboration results in recent years. Trust in the process of human-AI interaction has been identified as a challenge for team collaboration in this context. However, little research has investigated the relationship between human-AI interaction and trust. This study proposes a theoretical model of the relationship between human-AI interaction and team members’ trust during collaboration processes. We conclude that team members’ cognitive and emotional perceptions during the interaction process are associated with their trust towards AI. Moreover, the relationship could also be moderated by the specific AI implementation traits. Our model provides a holistic view of human-AI interaction and its association with team members’ trust in the context of team collaboration.
ItemFighting the wicked problem of plastic pollution and its consequences for developing regions with expert and crowd solutions( 2021-01-05)The wicked problem of plastic pollution is one of the key global challenges. Finding adequate solutions to this complex problem requires cross-cultural and inter-organizational collaboration among diverse sets of stakeholders. In this context, the Ellen Mac Arthur Foundation approaches the problem of plastic pollution not only by involving experts into innovation processes but also by integrating the general public in form of an IT enabled crowdsourcing initiative. In this study, we analyze the outcomes of these actions with the help of automated text mining techniques. Our analysis demonstrates significant differences between the solutions given by experts and the crowd along various criteria. Further, this study provides guidance for practitioners on how to integrate diverse sets of individuals in problem solving processes with the help of information systems technologies. Especially for sustainability issues affecting both, developed and developing regions.