Drawing on the rational addiction framework, this study explores the digital vulnerabilities driven by dependence on mobile social apps (e.g., social network sites and social games). Rational addicts anticipate the future consequences of their current behaviors and attempt to maximize utility from their intertemporal consumption choices. Conversely, myopic addicts tend toward immediate gratification and fail to fully recognize the future consequences of their current consumption. In lieu of conducting self-report surveys or aggregate-level demand estimation, this research examines addictive behaviors on the basis of consumption quantity at an individual level. To empirically validate rational addiction in the context of social app consumption, we collect and analyze 13-month, individual-level panel data on the weekly app usage of thousands of smartphone users. Results indicate that the average social app user conducts herself in a forward-looking manner and rationally adjusts consumption over time to derive optimal utility. The subgroup analysis, however, indicates that substantial variations in addictiveness and forward-looking propensities exist across demographically diverse groups. For example, addictive behaviors toward social network sites are more myopic in nature among older, less-educated, high-income groups. Additionally, the type of social app moderates the effects of demographic characteristics on the nature of addictive behaviors. We provide implications that policymakers can use to effectively manage mobile addiction problems, with the recommendations focusing on asymmetric social policies (e.g., information- and capacity-enhancing measures).
Despite the extensive research on information technology (IT) outsourcing, our knowledge and understanding of how industry characteristics impact the use of IT outsourcing remain limited. Drawing upon theories from organization behavior and industrial economics, this study identifies four major industry characteristics (i.e., munificence, dynamism, concentration, and capital intensity) and investigates how each of these factors affects the use of IT outsourcing. Specifically, we postulate that the extent of industry munificence is positively related to the utilization of IT outsourcing. Since timely strategic actions are the crucial aspects of leveraging munificent resources, IT outsourcing, which can be implemented in short periods of time, is considered to be a preferred option in such environments. Furthermore, industry dynamism is also positively associated with IT outsourcing, given that firms in dynamically evolving industries tend to look for flexibility and avoid a large amount of fixed investments (e.g., IT development in-house). In contrast to these hypotheses, we predict that industry concentration is negatively related to IT outsourcing. Firms in concentrated industries are likely to develop their own IT infrastructures, as they are not constrained by institutional pressures or cost-driven strategic actions. Finally, because firms in capital-intensive industries tend to conform to long-standing traditional practices, and do not highly value novel and risky practices, they will be less likely to use IT outsourcing than firms in industries with low capital intensity. The data from the U.S. Bureau of Economic Analysis along with Compustat empirically validated all of the proposed hypotheses; however, only marginal support was found for the association between industry concentration and IT outsourcing. Our findings offer business executives and IT service providers strategic and managerial insights into the dynamics and complexities involved in the diverse aspects of industry environments and IT outsourcing decisions.
This research investigates how a shift from traditional loyalty cards to mobile-driven loyalty apps affects consumers’ reward redemption patterns, purchase behaviors, and store-level competition. The findings indicate that loyalty app adoption is associated with increased expenditure and purchase frequency as well as more active point redemption. In a multivendor loyalty program (MVLP) context, the use of loyalty apps is associated with spillover effects in which case customers visit more stores that they had not previously considered and exhibit diminished allegiance to their focal shop after they adopt a loyalty app. Finally, the adoption of loyalty apps is related to deal-prone behaviors because informed consumers tend to selectively purchase highly discounted products. Our findings provide several valuable implications for managers and platform owners who are considering launching mobile loyalty programs (LPs) and participating in an MVLP market. Although the merits of loyalty app adoption are apparent, we caution against potential downsides at individual store levels. Many customers are likely to succumb to deals, selectively purchasing highly discounted products with low margins through loyalty apps. The thrust of LPs should be directed toward fostering a strong connection with a brand, going beyond the promise of deals and promotions.
Online peer-to-peer (P2P) lending has emerged as an innovative financial technology (FinTech) platform that renders financial services that are potentially more inclusive and affordable than those offered by traditional financial institutions. A similar purpose is served by cryptocurrency markets, where transaction costs are reduced and financial accessibility is improved based on disruptive technologies such as blockchain and distributed ledgers. Despite these developments, however, in the operations management literature limited attention has been devoted to the contribution of online P2P lending to the promotion of financial inclusion (i.e., the availability and usage of financial services for all groups of people) and its dynamic interplay with cryptocurrency markets. The rise of cryptocurrency markets affects the composition and activity of borrowers and investors in P2P lending markets and hence the capacity of the latter to support financial inclusion, leading to an operations management challenge in online P2P lending. We examine how cryptocurrency markets influence P2P lending markets’ democratization of access to financial services, particularly P2P borrowing. To investigate these effects in depth, we develop a simple theoretical model to derive testable propositions, which are then empirically validated on the basis of unique datasets.We find that the growth in cryptocurrency markets is associated with increased loan requests and larger loan amounts in P2P markets, especially from borrowers who maintain good credit ratings, possess technical knowledge about cryptocurrencies, and intend to borrow for investment purposes. Our results suggest that cryptocurrency markets bring economic gains to the P2P lending market, at least in the short term. Nonetheless, the transfer of funds from P2P lending to cryptocurrency markets, particularly by highly creditworthy and tech-savvy investors, may provoke increased inequality in access to P2P lending markets. By scrutinizing the interdependence between two representative FinTech markets we uncover important operations management implications for theory and practice regarding the healthy growth and effective governance of crowdfunding platforms and the corresponding sustainability of their role in upholding financial inclusion.
Purpose: The purpose of this study is to establish a scale for Mindfulness sports psychological skills to measure player’s mind-taking which is required to mediate receptive-centered Mindfulness programs for athletes who receive stress and suffer from anxiety and concentration difficulty.BR Method: The factors of Mindfulness in sports were identified throughli terature review and interviews with sports leaders and athletes. Preliminary questions were developed after researching responses to the questions in terms of comprehension and clarity and reviewing withp rofessionals. Then, 328 questionnaires were collected from the participants. Question reviews and normality test were conducted. Exploratory factor analysis was processed by maximum likelihood estimation and oblique rotation. Cronbach’s alpha was extracted to verify the reliability of the scale’s sub-factors. The significance level was p<.05.BR Results: Through question analysis, descriptive statistics, the correaltion of factors, and exploratory factor analysis, 9 factors (attention, awareness, the present awakening, openness, self-tolerance, decentralized nonjudgment, acceptance, re-concentration, and skills) and 35 questions were extracted. Cronbach’s alpha of each factor is ranged from .773 to .900, which is relatively high.BR Conclusion: The scale for Mindfulness sports psychological skills is a maesurement tool that scientifically obtains reliability and validity. Firstly, the scale helps player’s Mindfulness measurement in a quantified and scientific way. Secondly, the scale can contribute to clearly defining the concept of Mindfulness. Thirdly, it can be applied to further research of Mindfulness in other fields comparing with Mindfulness in sports.
Through a randomized field experiment, this study compares the economic effects of two categories of nudges—self-assurance- and pressure-based interventions—on consumers’ purchase and return behaviors. In contrast to pressure-oriented nudges, such as quantity scarcity, time scarcity, and social persuasion, self-assurance nudges are intended to facilitate the validation of product choice and style/size characteristics as well as the self-assurance-grounded justification of the purchase. The findings reveal that self-assurance nudges designed to help consumers make better choices have both short-term (high sales) and long-term (few product returns) benefits. Although pressure-driven nudges offer slightly higher short-term benefits (high sales), they eventually engender unfavorable long-term outcomes (high product returns) for consumers and online retailers. Finally, using return-adjusted net sales as performance measures, the authors find that self-assurance-based nudges are as effective in stimulating purchase as those that capitalize on scarcity and social pressure.
The terms theory and theoretical contributions evoke mixed reactions in the information systems discipline, especially among empirical researchers in the economics of information systems (Econ-IS) area. Although some see such contributions as the raison d’etre for academic scholars engaged in research, others feel that the discipline has developed a fetish for theory, with reviewers and editors often demanding an unreasonable level of theoretical contributions for empirical manuscripts to succeed in the review process. Moreover, there exists a great deal of diversity in the conception of what constitutes a reasonable theoretical contribution, especially within empirical work, across editors and reviewers, leading to frustration with the review process and disappointment with editorial decisions. Given the different types of theoretical contributions that may be suitable for a given manuscript and recognizing the changing nature of empirical work within Econ-IS, we attempt to shed some light on theoretical contributions within empirical Econ-IS research, paying attention to their nature, types, and impact. Specifically, we start by reflecting on the typical theory-related comments we have seen in review packets that we generalize to a set of critiques often related to empirical papers. Subsequently, we provide a working definition of a theoretical contribution and the components that make up such a contribution. We then propose a taxonomy of theoretical contributions typically observed in Information Systems Research (ISR). Based on this taxonomy of contributions, the typical critiques observed in empirical Econ-IS papers, and a set of published papers, we provide some broad guidelines for how authors may craft an effective theoretical contribution for submission to ISR. We also discuss a pathway for manuscripts that do not (seek to) offer significant theoretical contributions. Such manuscripts are welcome, but we believe that a very high bar of practical impact must be met for them to succeed in the review process. Based on the guidelines and suggestions made here, our hope is that authors and evaluators will participate in the review process with a shared understanding of the elusive notion of theoretical contributions.
The aim of this paper is twofold: (1) to conceptually understand membership dynamics in the open source software (OSS) community, and (2) to explore how different network characteristics (i.e., network size and connectivity) influence the stability of an OSS network. Through the lens of Ising theory, which is widely accepted in physics, we investigate basic patterns of interaction and present fresh conceptual insight into dynamic and reciprocal relations among OSS community members. We also perform computer simulations based on empirical data collected from two actual OSS communities. Key findings include: (1) membership herding is highly present when external influences (e.g., the availability of other OSS projects) are weak, but decreases significantly when external influences increase, (2) propensity for membership herding is most likely to be seen in a large network with random connectivity, and (3) for large networks, when external influences are weak, random connectivity will result in higher network strength than scale-free connectivity (as external influences increase, however, the reverse phenomenon is observed). In addition, scale-free connectivity appears to be less volatile than random connectivity in response to an increase in the strength of external influences. We conclude with several implications that may be of significance to OSS stakeholders in particular, and to a broader range of online communities in general.