Despite its benefits, home-sharing has raised societal concerns about crime. However, research across disciplines has found inconsistent effects of home-sharing on crime. Regarding these inconsistencies, this research examines the temporal dynamics among home-sharing, long-term rental, and various types of crime. We also probe the moderating effects of the local government's short-term rental licensing regulation. We find that the prevalence of home-sharing has a direct positive association with crimes against property in the short term and with crimes against persons in the long term. Through the long-term rental price channel, however, the prevalence of homesharing has a long-term effect on crimes, leading to higher levels of crimes against property but lower levels of crimes against persons. The licensing regulation mitigates home-sharing's direct adverse impacts on both types of crimes, but the effect becomes insignificant over time. This research contributes to a nuanced understanding of how home-sharing affects crime by delineating both direct effects and effects through the long-term rental channel, as well as their temporal distinctions. We offer practical implications for policymakers, platform operators, hosts, and local communities to promote safer and more sustainable governance of home-sharing.

This research examines how digital platforms influence the performance of nonbinding contracts. Businesses in many industries with high uncertainty, such as trucking freight and construction, simultaneously use nonbinding contracts, which impose no legal sanctions for refusals, and spot markets, which facilitate real-time, flexible transactions with market-determined prices. Understanding the conditions under which nonbinding contracts perform is a major concern in these industries. Leveraging the entry of the Amazon Freight platform in the trucking freight industry, we demonstrate that adding a digital platform-enabled spot marketplace improves the performance of nonbinding contracts. We identified several mechanisms driving this effect: (1) expanding carriers' transportation capacity, (2) lowering spot market prices, and (3) reducing shippers' reliance on nonbinding contracts for shorter-haul truckloads. Moreover, the digital platform's impact on enhancing nonbinding contract performance is particularly pronounced in markets with volatile demand and shorter hauls. This research contributes to understanding the impacts of digital platforms in highly uncertain industries that simultaneously use nonbinding contracts and spot markets. Our findings provide implications to policymakers and business managers on leveraging digital platforms to improve operational efficiency in highly uncertain industries.

This research examines how a firm's cloud storage implementation affects different types of security breaches in both the short- and long-term. Building on the attention-based view, we find that cloud storage implementation positively relates to a firm's external breaches and accidental internal breaches in the short-term. However, the positive relationship between cloud storage implementation and external breaches diminishes over time and becomes insignificant long-term. Our results demonstrate a long-term security advantage of cloud storage in reducing accidental internal breaches. We did not find a significant association between cloud storage and malicious internal breaches. Findings highlight the need for firms to direct limited resources to different security risks in the short- and long-term of cloud storage implementation over time. This research contributes to our understanding of cloud storage's security implications and explicitly theorizes the role of attention in firm IT security management. We contribute to the attention-based view by contextualizing the theory to IT security. We highlight temporal dynamics through distinct attentional mechanisms, including selective attention, attentional flexibility, and attentional vigilance.

With the rapid development of technologies such as big data, cloud computing, and the Internet of Things, the application of big data has become increasingly widespread. The adoption of these new technologies has impacted the traditional business environment, simplifying the traditional business model from production and logistics to sales, primarily through e-commerce marketing, thereby shifting the market from a seller-centric to a consumer-centric approach. In online e-commerce, buyers and sellers do not need to meet in person; the transaction process is handled by a third party. This credit model, based on internet information technology, enables comprehensive coverage of the e-commerce marketing network. E-commerce marketing relies on big data analysis, which can effectively analyze information capacity, help e-commerce companies clearly identify consumer positioning, and target core marketing. It also effectively summarizes consumer preferences and habits, plans a distinctive sales market, and brings higher economic profits to e-commerce enterprises.

Leveraging an asset‐sharing operating model, sharing economy platforms have disrupted incumbent firms in many industries. This research draws on the asset orchestration perspective to examine incumbents' asset orchestration (i.e., operational and governance actions) as they respond to threats from the sharing economy and the effectiveness of these actions in curbing a sharing economy firm's performance. We also analyze how the sharing economy firm's competitive moves counteract incumbents' asset orchestration responses. Our longitudinal empirical analysis in the accommodation industry demonstrates that the growth of sharing economy increases incumbent hotels' asset‐based operational actions, which reduce the sharing economy's performance. Although incumbents' asset governance actions increase as the local sharing economy grows, they do not seem to hinder sharing economy's performance. This research highlights the role of asset orchestration in the competition between incumbents and the sharing economy and contributes to the operations and sharing economy literature.

This research highlights the circulative nature of digital platform ecosystem dynamics. Investigating these dynamics, we examine the mutual influence between participants’ product scope and product innovation over time and probe the moderating role of co-created collaborative networks. We distinguish between two types of product innovation: new product development and existing product updates. Our longitudinal analysis of the Hadoop software ecosystem indicates that participants covering a broader scope of the platform’s technological layers are less likely to develop new products but more likely to update existing products. In turn, participants with more frequent new product development are more likely to expand their product scope, whereas those with more frequent existing product updates are less likely to pursue scope expansion. Participants’ centrality in the ecosystem’s collaborative network amplifies the bidirectional link between product scope and existing product updates but weakens the link between product scope and new product development. Our findings offer a theoretical and practical understanding of temporal dynamics between participants’ product scope choices and different forms of product innovations in the co-created collaborative network environment.

This research examines how organizations can achieve effective information systems (IS) use by aligning internal IS resources with embeddedness in the IS outsourcing network. Leveraging the empirical opportunity of large-scale organization-wide meaningful use attestation of electronic health records, we conducted a longitudinal analysis of US hospitals from 2013 to 2017. We found that an organization's network embeddedness amplifies the positive relationship between IS resources and effective IS use. We also identify different impacts depending on network embeddedness types and organization sizes. We found positive moderating effects of structural and positional embeddedness. However, junctional embeddedness has no direct or moderating effect on IS use. In addition, the moderating effects manifest differently for different-sized organizations - i.e., structural embeddedness has a stronger positive moderating effect for large organizations, while positional embeddedness' positive moderating effect is stronger for small organizations. We also found heterogeneous direct effects of structural and positional embeddedness on organizational IS use. Solely depending on structural embeddedness will result in lower IS use, which is more prominent for small organizations. Positional embeddedness has a negative direct effect on small organizations' IS use but positively relates to large organizations' IS use. This research highlights the role of network embeddedness in facilitating IS use and offers a nuanced understanding of its impacts. Our findings also provide practical implications for organizational IS use through strategic IS outsourcing.

This study takes a review and theory development (RTD) approach to synthesizing the software platform literature, offering theoretical perspective and research guidance. In doing so, we conceptualize platform and complementary capabilities for software platform owners and complementors. The review indicates that three dimensions reflect platform capabilities: intermediarity, generativity, and ambidexterity, while complementary capabilities include creativity, interconnectivity, and appropriability dimensions. We derive an integrative framework of software platforms, which explains (1) how software platform owners and complementors improve performance by enhancing their capabilities, and (2) how software platform owners, complementors, and the ecosystem environment coevolve. We then discuss how future research can build on and enrich the research framework

Online health consultation (OHC) provides an alternative mechanism of healthcare delivery, which could enhance healthcare efficiency, reduce cost, and solve healthcare inequalities. Understanding why patients decide to use these OHC platforms could yield strategic implications of actualizing OHC's impacts. Given the high uncertainties caused by the lack of patient-physician offline interactions and the sensitivity of health information, we possess trust as the major mechanism of shifting patients' adoption decisions. Accordingly, this study examines how patients-related, platform situational, and physician-based factors affect patients' intention of adopting OHC by triggering trust relationships. We conducted a survey to empirically test our theoretical development. We employed the structural equation modeling (SEM) and bootstrapping approaches to estimate path coefficients and significance of the model. Our results demonstrate that patients' Internet self-efficacy on verification, trust propensity, perceived informativeness, platform reputation, structural assurance, and perceived physician credibility triggers trust relationship, therefore improving patients' OHC adoption. Theoretical and practical implications are discussed.

This research examines the joint effects of information technology (IT) strategies and security investments on organizational security breaches. We focus on two forms of IT strategies: digitalization and embeddedness in IT outsourcing networks. Our longitudinal analysis of U.S. hospitals demonstrates that IT security investments reduce security breaches in less digitalized organizations but increase security breaches for highly digitalized organizations. Investing in technical network control security systems such as anti-virus and intrusion detection systems reduces external breaches. Implementing identity and access management security systems such as biometric scanning and user authentication decreases internal breaches but increases external breaches. However, organizations' embeddedness in IT outsourcing networks weakens the impacts of these technologies investments on external breaches but amplifies the negative relationship between identity and access management security systems and internal breaches. Our results offer an alternative understanding of organizational IT security investments and explain contrary results found in prior studies. Practical guidelines on organizational IT security strategies are discussed.

Prior literature recognized the importance of members' prior ties on venture capital (VC) syndicated investments and uncovered investors' different roles, in separate streams of research. This study bridges these two relevant but disjoint streams by examining how different roles' prior ties affect VC syndicated investments. We consider the difference between leaders and followers, as well as their prior ties to the VC network and to the target investee. Our empirical analysis of the Chinese VC market demonstrates that VC investors' prior ties have stronger influences for followers in VC syndicate formation than those for leaders. This research sheds lights on the understanding of different mechanisms of VC syndicate formation for different roles.

Wearable device and BDA bring opportunities for healthcare sector.BDA adoption strategy is investigated by stylizing an analytical model.The effects of the privacy risk and healthcare efficiency are discussed.BDAs influence on social welfare is analytically pointed. This paper investigates the impact of big data and analytics (BDA) on health IT market competition as well as health IT providers optimal BDA adoption decisions. To capture the specific characteristics of BDA in healthcare, we simultaneously model BDAs healthcare efficiency and privacy risk from consumer perspective and BDAs benefit and cost from provider perspective in a stylized two-dimensional product differentiation framework. The results indicate firms optimal pricing strategies with the dynamic of BDAs efficiency and privacy risk. In addition, BDAs influence on firms outcomes and social welfare are analytically pointed. Theoretically, this study has potentials to provide foundations for future big data research by stylizing an analytical model to understand firms BDA adoption. Practically, insights for business managers on how to optimize strategies of BDA adoption, and for social planners on how to conduct better policies to improve healthcare service quality by promoting BDA adoption in healthcare, are derived.

Purpose - Based on the theory of social networks, it is crucial to enhance information superiority through joint venture capital (VC). The purpose of this paper is to explore the impacts of different roles' structural and relational embeddedness on the information superiority of joint VC alliances. Design/methodology/approach - The authors design the multiple linear regression models to investigate the leader's investment ratio from a network embeddedness perspective. Panel data analysis and robustness tests are adopted based on the data from Chinese VCs Database. Findings - The results show that VC leaders enjoy information search advantages because of their better network positions, while their followers lack this superiority. Information sharing among investors and investees may enhance the influences of structural embeddedness on investors' information search advantages. Joint VC's scale and its number of leaders could also increase VC alliances' information superiority. Originality/value - This research provides a more holistic understanding of the formation of joint VC alliances' information superiority from a social network perspective. Both VC managers and social planners can seek guidance from this study to implement better strategies and policies to promote information symmetry in the VC market.

This paper investigates the impact of big data and analytics (BDA) on health IT market competition as well as health IT provider's optimal BDA adoption decisions. To capture the specific characteristics of BDA in healthcare, we simultaneously model BDA's healthcare efficiency and privacy risk from consumer perspective and BDA's benefit and cost from provider perspective in a stylized two-dimensional product differentiation framework. The results indicate firm's optimal pricing strategies with the dynamic of BDA's efficiency and privacy risk. In addition, BDA's influence on firms' outcomes and social welfare are analytically pointed. Theoretically, this study has potentials to provide foundations for future big data research by stylizing an analytical model to understand firm's BDA adoption. Practically, insights for business managers on how to optimize strategies of BDA adoption, and for social planners on how to conduct better policies to improve healthcare service quality by promoting BDA adoption in healthcare, are derived. (C) 2017 Published by Elsevier B.V.

The rapid growth in consumer adoption of wearable devices has garnered the attention of both practitioners and academia. Competition in the wearable device market is both substantial and complicate...

The rapid growth in consumer adoption of wearable devices has garnered the attention of both practitioners and academia. Competition in the wearable device market is both substantial and complicated. In this study, we investigate the impact of network externality on wearable device competition in a two-dimensional product differentiation model. We consider a market that has a broad array of products (horizontal differentiation) and various quality levels (vertical differentiation). We study two types of network externalities according to the product compatibility in two types of market structures. Our model indicates that firm profits are decreased by network externalities in horizontal dominance. Network externality also increases (decreases) the higher-quality (lower-quality) firm's profit in vertical dominance. Moreover, firms should ensure that their products are incompatible with those of rivals when network externality is large, and they should release compatible products when network externality is small in horizontal dominance. Firms should always ensure that their products are compatible with those of competitors in vertical dominance.

Drawing on the theoretical lens of communication patterns in organizational theory, this research analyzed the longitudinal success of open source software (OSS) projects by employing social network analysis method, based on extensive analyses of empirical data. This study is expected to provide an understanding on how communication patterns established in different roles and different levels. The authors not only measured OSS success from both developers and users' perspectives, but also extended the existing research by including the potential relationships among these success measures in the estimation model. Following the panel data econometric analysis methodology, they evaluated their research hypotheses using the Three-Stage Least Squares model, accounting for both time-period and project fixed effects. The authors' results indicated that according to the objectives of projects, a proper and planned control for the communication among team members is crucial for the success of OSS projects.

Background: Wearable technology has shown the potential of improving healthcare efficiency and reducing healthcare cost. Different from pioneering studies on healthcare wearable devices from technical perspective, this paper explores the predictors of individuals' adoption of healthcare wearable devices. Considering the importance of individuals' privacy perceptions in healthcare wearable devices adoption, this study proposes a model based on the privacy calculus theory to investigate how individuals adopt healthcare wearable devices.Method: The proposed conceptual model was empirically tested by using data collected from a survey. The sample covers 333 actual users of healthcare wearable devices. Structural equation modeling (SEM) method was employed to estimate the significance of the path coefficients.Results: This study reveals several main findings: (1) individuals' decisions to adopt healthcare wearable devices are determined by their risk-benefit analyses (refer to privacy calculus). In short, if an individual's perceived benefit is higher than perceived privacy risk, s/he is more likely to adopt the device. Otherwise, the device would not be adopted; (2) individuals' perceived privacy risk is formed by health information sensitivity, personal innovativeness, legislative protection, and perceived prestige; and (3) individuals' perceived benefit is determined by perceived informativeness and functional congruence. The theoretical and practical implications, limitations, and future research directions are then discussed. (C) 2016 Elsevier Ireland Ltd. All rights reserved.

As policy-makers and business practitioners across the globe expend extraordinary effort toward the field of e-health, the thriving development of healthcare-wearable technology is creating great opportunities and posing a remarkable future for healthcare services. This paper employs a game theory model to investigate the dynamics of wearable device market. We extend the two-dimensional product differentiation model by incorporating consumer diversity, consumer density, and firms’ big data analytics (BDA) investment strategy. Our model reveals that with differentiated consumer densities firms are more likely to engage in quality competition and the firm that invests in BDA can achieve higher profits. Furthermore, the overall quality of biomedical and healthcare services can be improved under various market conditions. Our findings provide practical guidance to wearable device manufacturers on optimizing competition strategies and offer insights to social planners on potential policy-making to promote better healthcare services.