Journal of management information systems.
Journal of management information systems.
- Philadelphia, PA : Taylor & Francis Group, LLC, 2021.
- 277-570 page ; 26 cm.
- V.38, No.2 .
What Drives the Adoption of the Blockchain Technology? A Fit-Viability Perspective Ting-Peng Liang, Rajiv Kohli, Hang-Chang Huang & Zong-Lin Li Pages 314-337 ABSTRACT Blockchain technology has the promise of transforming security and trust in digital transactions. However, concerns about technical complexity and the benefits of deployment have blunted its adoption. We examine factors that influence managerial intention to adopt blockchain technology. We extend the fit-viability model (FVM) and develop a value-based technology adoption model through an empirical study of 242 managers mostly in medical and financial industries. Managers in such organizations are likely to consider fit and viability in adopting blockchain technology to store and protect data. Drawing upon Fit-Viability and Task-Technology Fit models, and the Unified Theory of Acceptance and Use of Technology (UTAUT), we test a model with Partial Least Squares (PLS) to assess managers' intention to adopt blockchain technology. Our findings indicate that functional and symbolic benefits have positive impact on managers' assessment of task-technology fit. Furthermore, viability is an important criterion in adopting blockchain technology.
ABSTRACT Leveraging omnichannel has become a new norm of strategic marketing in the retail industry, with many vendors foregrounding the value of customers who wish to maximize their shopping experiences across all channels. Notwithstanding such heightened attention, little is known about the effectiveness of omnichannel targeting and promotional strategies. Whereas previous studies assessed the economic worth of channel promotions independently of each other, our study delved into the effects of integrated omnichannel campaigns. Using a randomized field experiment design, we provide empirical evidence of an offline direct experience effect and revealed short-term channel substitution (spillover) effects among customers who only use the online-channel (offline-channel). We further examined omnichannel conversion behaviors after exposure to online promotion and developed different coupon schemes based on responses to the previously offered offline initiative. Finally, we detected significant patterns of post-treatment omnichannel migration and confirmed the effectiveness of integrated omnichannel promotions in fostering a shift to omnichannel shopping. Attribution of Responsibility after Failures within Platform Ecosystems Brian Dunn, Matthew L. Jensen & Ryan Ralston Pages 546-570 ABSTRACT As digital platform ecosystems grow in prominence, their interconnectedness and complexity also grow, making operational failure likely. How failures in such systems affect user perceptions of separate ecosystem components, however, is not well understood. This research investigates attribution of responsibility and discontinuance recommend ations for ecosystem components after failures of ambiguous origin. Building on attribution theory, platform ecosystems literature, and research on digital borders, we conducted two scenario-based experiments investigating negative consequences of failure for ecosystem components. We also explored contingent effects from design elements (border strength) and contextual factors (disruption severity). Results demonstrated that when failures occur, negative consequences diffuse to all ecosystem components, with apps receiving the strongest discontinuance recommendations. Greater disruption severity increased discontinuance recommendations for the app. Furthermore, border strength between ecosystem components shifted negative consequences for failure toward the platform (e.g., operating system [OS] and device). Perceptions of locus and controllability were the primary mechanisms driving attributions of responsibility for failure. However, contrary to attribution theory, lack of failure stability increased blame for the app instead of reducing it. Despite higher coordination costs, our results indicate the importance of better-integrated ecosystems that experience fewer faults and that app developers bear the greatest burden in delivering this experience. Furthermore, attribution for failure can be shaped by clearly delineated borders. Thus, design decisions affecting border strength should be actively managed by ecosystem participants, and app developers may be incentivized to elevate border strength. Beyond the Block: A Novel Blockchain-Based Technical Model for Long-Term Care Insurance Wenping Zhang, Chih-Ping Wei, Qiqi Jiang, Chih-Hung Peng & J. Leon Zhao Pages 374-400 ABSTRACT The insurance business is characterized by complicated transactional interrelationships among various stakeholders involved in insurance-related activities. Given this unique nature, the century-old challenge in the insurance industry is to effectively reduce transaction costs among the stakeholders while maintaining business privacy and trust. Although blockchain is a promising technology to mitigate this challenge, two technical issues, namely (1) inefficiency in data auditing and (2) difficulty in verifying encrypted data, are of strategic importance when applying blockchain to the insurance industry. To address these technical challenges, we propose an innovative blockchain-based technical model, InsurModel, in the context of newly initiated long-term care insurance in China. Specifically, we utilize cryptographical methods including "zero-knowledge-proof" to 1) represent business interdependence and 2) verify confidential business information without disclosure of specifics. We demonstrate the scalability and applicability of InsurModel and explore its strategic implications in constraining adverse behaviors of the stakeholders. Chain of Values: Examining the Economic Impacts of Blockchain on the Value-Added Tax System Soohyun Cho, Kyungha (Kari) Lee, Arion Cheong, Won Gyun No & Miklos A. Vasarhelyi Pages 288-313 ABSTRACT Blockchain technology can benefit inter-organizational activities by improving data integrity, increasing transaction transparency, and decreasing transaction costs. In this paper, we discuss the strategic and economic value of this technology by applying it to the value-added tax (VAT) reporting system, focusing on blockchain's characteristic traceability. By effectively increasing financial transparency, the application of blockchain to the VAT system can prevent VAT-related fraud (e.g., underreported VAT) that can arise due to the information asymmetry that exists at different stages of the supply chain. We develop a game theoretical model that involves a retailer and two vendors in order to study the players' strategic decisions regarding blockchain adoption and to examine the effects on social welfare. We also show how the decision to adopt blockchain depends on considerations such as adoption costs, the vendors' VAT reporting behavior, the retailer's profit margins, and inter-vendor competition. Furthermore, we find that under certain conditions, policymakers can increase social welfare by providing subsidies to encourage blockchain adoption. Designing Effective Mobile Health Apps: Does Combining Behavior Change Techniques Really Create Synergies? Kai Spohrera, Monica Fallon,Hartmut Hoehle & Armin Heinzl Pages 517-545 ABSTRACT Although several theories could be applied to stimulate mobile health (mHealth) use and change people's health behaviors, theory-driven mHealth designs are scarce. Instead, developers and researchers often implement behavior change techniques and mix multiple techniques without explicitly considering their underlying theoretical mechanisms. We call this practice into question and propose that combining behavior change techniques does not necessarily result in synergistic effects. Drawing on theories of protection motivation and social upward comparison, we engage in explanatory design theorizing to understand interactions of behavior change techniques and their implications for mHealth design. We design, theorize about, and evaluate four mHealth prototypes for stress alleviation. In a five-week field experiment with nā=ā138 participants and a subsequent qualitative substantiation, we show that there is a negative interaction effect of protection motivation and social upward comparison, rendering their combined application less effective. Our findings elicit mutual boundary conditions for theories of protection motivation and social upward comparison. If mechanisms of one theory are present, they restrict the effectiveness of mechanisms of the other theory. Thus, mHealth developers need to use caution when combining different behavior change techniques within one mHealth artifact. Monetization Of Digital Content: Drivers Of Revenue On Q&A Platforms Hua (Jonathan) Yea, Xueping Yang, Xinwei Wang & Theophanis C. Stratopoulos Pages 457-483 ABSTRACT Valuation of digital content has important individual, organizational, and microeconomic implications. Yet, the existing understanding of digital content consumption is focused primarily on consumption of free content. This means, that digital content is not a source of revenue for contributors and not directly tied to the revenue or expenses of these platforms and that it is practically impossible to capture its value in national income accounts. Academic and anecdotal evidence seems to indicate that sharing of revenue from paid viewership in paid question-and-answer (Q&A) platforms is a factor that differentiates successful platforms, such as Weibo Q&A, from unsuccessful ones, such as Google Answers. Yet, the growing paid Q&A literature does not shed much light on our understanding of the drivers of revenues from paid viewership. Our study focuses on the unique revenue sharing of paid viewership among stakeholders because this feature makes paid Q&A a success and helps ensure the sustainability of the hosting social media platform. This study draws upon signaling theory to identify the drivers of the sales of paid viewership. We further draw on the cognitive view of signal attention and interpretation and the literature on social media trend and the literature on information perishability to hypothesize the differential moderating impacts of question price and content perishability. Consistent with the literature, we found the positive impacts of social media status and social endorsement on the sales of paid viewership. Extending past literature, we found an inverted-U impact of social feedback and the differential moderating effects of question price and content perishability on the sales of paid viewership. Recommendations and Cross-selling: Pricing Strategies when Personalizing Firms Cross-sell Abhijeet Ghoshal, Vijay S. Mookerjee & Sumit Sarkar Pages 430-456 ABSTRACT Recommender systems enable firms to target customers with products and services that better match their needs, as well as cross-sell products and services. Considering these factors in markets with monopoly and duopoly, we investigate (i) How do pricing strategies differ when firms cross-sell versus when they do not cross-sell, and (ii) How do these pricing strategies change when a firm improves its recommender system? We find that cross-selling can enable a monopolist to subsidize its price for the focal products, while maximizing its profit. In a duopoly, the price set by the firm with the inferior system (low-type firm) is always lower when the firms cross-sell than when the firms do not cross-sell; however, that does not necessarily hold for the high-type firm. When the high-type firm improves its recommender system, the low-type firm may decrease its price when firms cross-sell, which does not happen when firms do not cross-sell. The Making of Data Commodities: Data Analytics as an Embedded Process Aleksi Aaltonen, Cristina Alaimo & Jannis Kallinikos Pages 401-429 ABSTRACT This paper studies the process by which data are generated, managed, and assembled into tradable objects we call data commodities. We link the making of such objects to the open and editable nature of digital data and to the emerging big data industry in which they are diffused items of exchange, repurposing, and aggregation. We empirically investigate the making of data commodities in the context of an innovative telecommunications operator, analyzing its efforts to produce advertising audiences by repurposing data from the network infrastructure. The analysis unpacks the processes by which data are repurposed and aggregated into novel data-based objects that acquire organizational and industry relevance through carefully maintained metrics and practices of data management and interpretation. Building from our findings, we develop a process theory that explains the transformations data undergo on their way to becoming commodities and shows how these transformations are related to organizational practices and to the editable, portable, and recontextualizable attributes of data. The theory complements the standard picture of data encountered in data science and analytics, and renews and extends the promise of a constructivist Information Systems (IS) research into the age of datafication. The results provide practitioners, regulators included, vital insights concerning data management practices that produce commodities from data. The Use Of Blockchain As A Resource For Combating Corruption In Global Shipping: An Interpretive Case Study Suprateek Sarkera McIntire, Stefan Henningsson, Thomas Jensen & Jonas Hedman Pages 338-373 ABSTRACT Corruption is one of the most troubling societal challenges facing businesses today. Businesses have been combating corruption in fragmented ways, sometimes by creating anti-corruption policies applicable to certain stakeholders and, at other times, by harnessing digital technologies. Recently, the power of blockchain, with its capacity to provide full transactional disclosure and thereby reduce uncertainty, insecurity, and ambiguity in transactions, has been touted as being a game changer in the fight against corruption. Based on a study of the global shipping industry, we find that blockchain mitigates both process and document-related corruption. Based on these findings, we develop an understanding of how corruption may be combated using both social and digital/informational resources, including blockchain technology. Our model, drawing on past work on corruption, shows the complex interplay between identity, institutional actors, technical and other resources, and practices, and we develop conditions that could be effective in fighting corruption by using technologies such as blockchain.
07421222
What Drives the Adoption of the Blockchain Technology? A Fit-Viability Perspective Ting-Peng Liang, Rajiv Kohli, Hang-Chang Huang & Zong-Lin Li Pages 314-337 ABSTRACT Blockchain technology has the promise of transforming security and trust in digital transactions. However, concerns about technical complexity and the benefits of deployment have blunted its adoption. We examine factors that influence managerial intention to adopt blockchain technology. We extend the fit-viability model (FVM) and develop a value-based technology adoption model through an empirical study of 242 managers mostly in medical and financial industries. Managers in such organizations are likely to consider fit and viability in adopting blockchain technology to store and protect data. Drawing upon Fit-Viability and Task-Technology Fit models, and the Unified Theory of Acceptance and Use of Technology (UTAUT), we test a model with Partial Least Squares (PLS) to assess managers' intention to adopt blockchain technology. Our findings indicate that functional and symbolic benefits have positive impact on managers' assessment of task-technology fit. Furthermore, viability is an important criterion in adopting blockchain technology.
ABSTRACT Leveraging omnichannel has become a new norm of strategic marketing in the retail industry, with many vendors foregrounding the value of customers who wish to maximize their shopping experiences across all channels. Notwithstanding such heightened attention, little is known about the effectiveness of omnichannel targeting and promotional strategies. Whereas previous studies assessed the economic worth of channel promotions independently of each other, our study delved into the effects of integrated omnichannel campaigns. Using a randomized field experiment design, we provide empirical evidence of an offline direct experience effect and revealed short-term channel substitution (spillover) effects among customers who only use the online-channel (offline-channel). We further examined omnichannel conversion behaviors after exposure to online promotion and developed different coupon schemes based on responses to the previously offered offline initiative. Finally, we detected significant patterns of post-treatment omnichannel migration and confirmed the effectiveness of integrated omnichannel promotions in fostering a shift to omnichannel shopping. Attribution of Responsibility after Failures within Platform Ecosystems Brian Dunn, Matthew L. Jensen & Ryan Ralston Pages 546-570 ABSTRACT As digital platform ecosystems grow in prominence, their interconnectedness and complexity also grow, making operational failure likely. How failures in such systems affect user perceptions of separate ecosystem components, however, is not well understood. This research investigates attribution of responsibility and discontinuance recommend ations for ecosystem components after failures of ambiguous origin. Building on attribution theory, platform ecosystems literature, and research on digital borders, we conducted two scenario-based experiments investigating negative consequences of failure for ecosystem components. We also explored contingent effects from design elements (border strength) and contextual factors (disruption severity). Results demonstrated that when failures occur, negative consequences diffuse to all ecosystem components, with apps receiving the strongest discontinuance recommendations. Greater disruption severity increased discontinuance recommendations for the app. Furthermore, border strength between ecosystem components shifted negative consequences for failure toward the platform (e.g., operating system [OS] and device). Perceptions of locus and controllability were the primary mechanisms driving attributions of responsibility for failure. However, contrary to attribution theory, lack of failure stability increased blame for the app instead of reducing it. Despite higher coordination costs, our results indicate the importance of better-integrated ecosystems that experience fewer faults and that app developers bear the greatest burden in delivering this experience. Furthermore, attribution for failure can be shaped by clearly delineated borders. Thus, design decisions affecting border strength should be actively managed by ecosystem participants, and app developers may be incentivized to elevate border strength. Beyond the Block: A Novel Blockchain-Based Technical Model for Long-Term Care Insurance Wenping Zhang, Chih-Ping Wei, Qiqi Jiang, Chih-Hung Peng & J. Leon Zhao Pages 374-400 ABSTRACT The insurance business is characterized by complicated transactional interrelationships among various stakeholders involved in insurance-related activities. Given this unique nature, the century-old challenge in the insurance industry is to effectively reduce transaction costs among the stakeholders while maintaining business privacy and trust. Although blockchain is a promising technology to mitigate this challenge, two technical issues, namely (1) inefficiency in data auditing and (2) difficulty in verifying encrypted data, are of strategic importance when applying blockchain to the insurance industry. To address these technical challenges, we propose an innovative blockchain-based technical model, InsurModel, in the context of newly initiated long-term care insurance in China. Specifically, we utilize cryptographical methods including "zero-knowledge-proof" to 1) represent business interdependence and 2) verify confidential business information without disclosure of specifics. We demonstrate the scalability and applicability of InsurModel and explore its strategic implications in constraining adverse behaviors of the stakeholders. Chain of Values: Examining the Economic Impacts of Blockchain on the Value-Added Tax System Soohyun Cho, Kyungha (Kari) Lee, Arion Cheong, Won Gyun No & Miklos A. Vasarhelyi Pages 288-313 ABSTRACT Blockchain technology can benefit inter-organizational activities by improving data integrity, increasing transaction transparency, and decreasing transaction costs. In this paper, we discuss the strategic and economic value of this technology by applying it to the value-added tax (VAT) reporting system, focusing on blockchain's characteristic traceability. By effectively increasing financial transparency, the application of blockchain to the VAT system can prevent VAT-related fraud (e.g., underreported VAT) that can arise due to the information asymmetry that exists at different stages of the supply chain. We develop a game theoretical model that involves a retailer and two vendors in order to study the players' strategic decisions regarding blockchain adoption and to examine the effects on social welfare. We also show how the decision to adopt blockchain depends on considerations such as adoption costs, the vendors' VAT reporting behavior, the retailer's profit margins, and inter-vendor competition. Furthermore, we find that under certain conditions, policymakers can increase social welfare by providing subsidies to encourage blockchain adoption. Designing Effective Mobile Health Apps: Does Combining Behavior Change Techniques Really Create Synergies? Kai Spohrera, Monica Fallon,Hartmut Hoehle & Armin Heinzl Pages 517-545 ABSTRACT Although several theories could be applied to stimulate mobile health (mHealth) use and change people's health behaviors, theory-driven mHealth designs are scarce. Instead, developers and researchers often implement behavior change techniques and mix multiple techniques without explicitly considering their underlying theoretical mechanisms. We call this practice into question and propose that combining behavior change techniques does not necessarily result in synergistic effects. Drawing on theories of protection motivation and social upward comparison, we engage in explanatory design theorizing to understand interactions of behavior change techniques and their implications for mHealth design. We design, theorize about, and evaluate four mHealth prototypes for stress alleviation. In a five-week field experiment with nā=ā138 participants and a subsequent qualitative substantiation, we show that there is a negative interaction effect of protection motivation and social upward comparison, rendering their combined application less effective. Our findings elicit mutual boundary conditions for theories of protection motivation and social upward comparison. If mechanisms of one theory are present, they restrict the effectiveness of mechanisms of the other theory. Thus, mHealth developers need to use caution when combining different behavior change techniques within one mHealth artifact. Monetization Of Digital Content: Drivers Of Revenue On Q&A Platforms Hua (Jonathan) Yea, Xueping Yang, Xinwei Wang & Theophanis C. Stratopoulos Pages 457-483 ABSTRACT Valuation of digital content has important individual, organizational, and microeconomic implications. Yet, the existing understanding of digital content consumption is focused primarily on consumption of free content. This means, that digital content is not a source of revenue for contributors and not directly tied to the revenue or expenses of these platforms and that it is practically impossible to capture its value in national income accounts. Academic and anecdotal evidence seems to indicate that sharing of revenue from paid viewership in paid question-and-answer (Q&A) platforms is a factor that differentiates successful platforms, such as Weibo Q&A, from unsuccessful ones, such as Google Answers. Yet, the growing paid Q&A literature does not shed much light on our understanding of the drivers of revenues from paid viewership. Our study focuses on the unique revenue sharing of paid viewership among stakeholders because this feature makes paid Q&A a success and helps ensure the sustainability of the hosting social media platform. This study draws upon signaling theory to identify the drivers of the sales of paid viewership. We further draw on the cognitive view of signal attention and interpretation and the literature on social media trend and the literature on information perishability to hypothesize the differential moderating impacts of question price and content perishability. Consistent with the literature, we found the positive impacts of social media status and social endorsement on the sales of paid viewership. Extending past literature, we found an inverted-U impact of social feedback and the differential moderating effects of question price and content perishability on the sales of paid viewership. Recommendations and Cross-selling: Pricing Strategies when Personalizing Firms Cross-sell Abhijeet Ghoshal, Vijay S. Mookerjee & Sumit Sarkar Pages 430-456 ABSTRACT Recommender systems enable firms to target customers with products and services that better match their needs, as well as cross-sell products and services. Considering these factors in markets with monopoly and duopoly, we investigate (i) How do pricing strategies differ when firms cross-sell versus when they do not cross-sell, and (ii) How do these pricing strategies change when a firm improves its recommender system? We find that cross-selling can enable a monopolist to subsidize its price for the focal products, while maximizing its profit. In a duopoly, the price set by the firm with the inferior system (low-type firm) is always lower when the firms cross-sell than when the firms do not cross-sell; however, that does not necessarily hold for the high-type firm. When the high-type firm improves its recommender system, the low-type firm may decrease its price when firms cross-sell, which does not happen when firms do not cross-sell. The Making of Data Commodities: Data Analytics as an Embedded Process Aleksi Aaltonen, Cristina Alaimo & Jannis Kallinikos Pages 401-429 ABSTRACT This paper studies the process by which data are generated, managed, and assembled into tradable objects we call data commodities. We link the making of such objects to the open and editable nature of digital data and to the emerging big data industry in which they are diffused items of exchange, repurposing, and aggregation. We empirically investigate the making of data commodities in the context of an innovative telecommunications operator, analyzing its efforts to produce advertising audiences by repurposing data from the network infrastructure. The analysis unpacks the processes by which data are repurposed and aggregated into novel data-based objects that acquire organizational and industry relevance through carefully maintained metrics and practices of data management and interpretation. Building from our findings, we develop a process theory that explains the transformations data undergo on their way to becoming commodities and shows how these transformations are related to organizational practices and to the editable, portable, and recontextualizable attributes of data. The theory complements the standard picture of data encountered in data science and analytics, and renews and extends the promise of a constructivist Information Systems (IS) research into the age of datafication. The results provide practitioners, regulators included, vital insights concerning data management practices that produce commodities from data. The Use Of Blockchain As A Resource For Combating Corruption In Global Shipping: An Interpretive Case Study Suprateek Sarkera McIntire, Stefan Henningsson, Thomas Jensen & Jonas Hedman Pages 338-373 ABSTRACT Corruption is one of the most troubling societal challenges facing businesses today. Businesses have been combating corruption in fragmented ways, sometimes by creating anti-corruption policies applicable to certain stakeholders and, at other times, by harnessing digital technologies. Recently, the power of blockchain, with its capacity to provide full transactional disclosure and thereby reduce uncertainty, insecurity, and ambiguity in transactions, has been touted as being a game changer in the fight against corruption. Based on a study of the global shipping industry, we find that blockchain mitigates both process and document-related corruption. Based on these findings, we develop an understanding of how corruption may be combated using both social and digital/informational resources, including blockchain technology. Our model, drawing on past work on corruption, shows the complex interplay between identity, institutional actors, technical and other resources, and practices, and we develop conditions that could be effective in fighting corruption by using technologies such as blockchain.
07421222