The Economics of 5G and the Mobile Economy

2021 | International Conference on Information Systems | Citations: 1

Authors: Sun, Chenshuo; Ghose, Anindya

Abstract: Disruptive digital infrastructure is changing the landscape of the new economy. ... Expand

Abstract: Disruptive digital infrastructure is changing the landscape of the new economy. This re search presents the first empirical analysis of how the development of an important digital infrastructure, a 5G highspeed network, reshapes mobile app consumption. We compile a new and unique dataset comprising mobile app consumption along with local 5G in frastructure buildout data across 30 major cities in China across a 12month period in 2019. Our econometric analysis provides strong and robust evidence that digital infras tructure has a significant positive spillover effect on mobile app consumption. Such an effect is moderated by app categories-bandwidthintensive and latencysensitive apps benefit the most. Moreover, we find that the potential mechanisms have to do with in creased 5G phone adoption and the commercialization of the 5G mobile plan. Further more, our post hoc analyses show that developing 5G infrastructure can help mitigate the digital divide between the most developed cities and less developed cities and can lead to significant positive economic outcomes. Collapse

Topics: mobile application information technology infrastructure electronic commerce mobile application market digital distribution

Methods: econometric modeling usage data post-hoc analysis treatment effect analysis descriptive statistic

Theories: theory of economic growth

When the Bank Comes to You: Branch Network and Customer Omnichannel Banking Behavior

2020 | Information Systems Research | Citations: 9

Authors: Zhou, Mi; Geng, Dan; Abhishek, Vibhanshu; Li, Beibei

Abstract: Banks today have been increasingly reducing their physical presence and redirect ... Expand

Abstract: Banks today have been increasingly reducing their physical presence and redirecting customers to digital channels, and yet, the consequences of this strategy are not well studied. This paper investigates the effects of banks’ branch network changes (i.e., branch openings and branch closures) on customer omnichannel banking behavior. Using approximately 0.85 million (33 months’) anonymized individual-level banking transactions from a large commercial bank in the United States, this paper shows the asymmetric effects of branch openings and branch closures on customer omnichannel banking behavior. In particular, we find that branch openings increase customers’ branch transactions; however, the first branch opening leads to a migration of complex transactions to the branches, which might result in a net decrease in online banking in the short term. As consumers interact more with the physical channel, there is a gradual synergistic increase in customers’ transactions via online banking as well as alternative channels due to a learning spillover effect. The learning spillover effect goes from easy online inquiries to more complex online transactions as additional branches open. On the contrary, branch closures result in a favorable migration pattern from the branch channel to online banking. This pattern, however, could be reversed once the last branch closes within the customer’s residential neighborhood. Our study teases out the underlying mechanisms that drive customer omnichannel banking behavior in the context of branch openings and branch closures, and discusses the managerial implications for branch network restructuring and banking channel management. Collapse

Topics: online banking consumer behavior advertising management decision making marketing management

Methods: longitudinal research robustness check difference in differences propensity score matching experimental group

Understanding Voluntary Knowledge Provision and Content Contribution Through a Social-Media-Based Prediction Market: A Field Experiment

2017 | Information Systems Research | Citations: 0

Authors: Qiu, Liangfei; Kumar, Subodha

Abstract: The performance of prediction markets depends crucially on the quality of user c ... Expand

Abstract: The performance of prediction markets depends crucially on the quality of user contribution. A social-media-based prediction market can utilize aspects of social effects to improve users’ contribution quality. In this study, we examine the causal effect of social audience size and online endorsement on prediction market participants’ prediction accuracy through a randomized field experiment. By conducting a comprehensive treatment effect analysis, we estimate both the average treatment effect (ATE) and the quantile treatment effect using the difference-in-differences method. Our empirical results on ATE show that an increase in audience size leads to an improvement in prediction accuracy, and that a higher level of online endorsement also leads to prediction improvements. Interestingly, we find that the quantile treatment effects are heterogeneous: users of intermediate prediction ability respond most positively to an increase in social audience size and online endorsement. These findings suggest that prediction markets can target people of intermediate abilities to obtain the most significant prediction improvement. The online appendix is available at https://doi-org.ezproxy2.utwente.nl/10.1287/isre.2016.0679. Collapse

Topics: social media Twitter participatory design intrinsic motivation social network

Methods: experimental group experiment field experiment randomized field experiment design methodology

Theories: game theory motivation theory