IT CONSUMERIZATION AND COMPLIANT USE: DO POLICIES MATTER?

Facing the ongoing IT consumerization trend, organizations take different strategies that permit or regulate the acquisition and use of consumer-originated IT devices at the workplace. This paper investigates the effect of two types of IT consumerization strategies (‘laissez-faire’ and ‘middle ground’) on the policy-related attitudes of employees and their level of policy-compliant device usage (voice, email, and data) at two higher education institutions. Based on hypotheses derived from two theories – i.e., procedural justice theory and transaction cost theory – and mixed methods interviews with 36 employees, our findings suggest a paradox where middle ground strategies accommodating for IT consumerization are associated with a higher understanding of, but a lower satisfaction with these policies. Differences in compliant behavior are found for voice and data usage on professional devices. Extending the procedural justice view, we conclude that transaction cost theory serves as a complementary lens to explain policy compliance

The influence of user feedback on complementary innovation in platform ecosystems: NLP evidence on the value of multihoming

We study how user feedback affects innovation of multihomed applications within and across platform ecosystems. Therefore, we conduct a quantitative NLP based case study. Our sample consists of 10 multihomed applications with more than 325,000 user reviews on Apple’s iOS and Google’s Android platform between January and March 2021. We analyze how user reviews translate into functional feature releases of the selected applications within and across platforms. We report three findings. First, we find that about 61% of the functional feature improvements on both platforms were previously demanded by users in the form of user feedback. Second, we show that user feedback of iOS users is more likely to be incorporated compared to Android users’ feedback. Finally, we observe that about 10% of feature releases are inspired by cross-platform feedback, providing initial evidence that user feedback from multihoming applications might stimulate cross-platform innovation and enhance the applications’ quality and innovativeness

And the winner is …? The desirable and undesirable effects of platform awards

We study platform firms’ decision to recognize innovation by complementors ex post through awards. Despite being purely symbolic, awards might set incentives for complementors’ product strategies that can eventually lead to both desirable and undesirable outcomes for the platform firm. We depart from signaling theory and derive hypotheses on the effects of awards on complementors’ product strategies. To test them, we implement a quasi-experiment in the context of the Google Android mobile platform and the prestigious Google Play Award. We infer the effect of the award by estimating the difference-in-differences between award winners and runners-up, before and after the conferral. The main sample encompasses 125 award nominees and their 793 apps between 2016 and 2018. We report three findings. First, the award encourages recipients to focus on releasing complement improvements rather than new complements. Second, the award increases recipients’ likelihood of multihoming. Finally, the award increases new complement releases in the recipients’ market niche by attracting other complementors. We contribute to the platform governance literature by informing about the effects of awards. Additionally, our findings have theoretical implications for understanding “soft” platform governance mechanisms

App superstars: Are high-status complementors a sustained source of innovation in platform

Previous research has argued that fostering superstar systems in platform ecosystems promotes innovation due to complementors™ intense competition for few high-status positions. However, the ex post innovation consequences of superstar systems have gener

App superstars: Are high-status complementors a sustained source of innovation in platform

Previous research has argued that fostering superstar systems in platform ecosystems promotes innovation due to complementors™ intense competition for few high-status positions. However, the ex post innovation consequences of superstar systems have gener