Pub Date : 2022-10-02DOI: 10.1080/07421222.2022.2127454
Xin Zhang, Xiaolong Guo, W. Yue, Yugang Yu
ABSTRACT Recent developments in data-centric technologies (e.g., big data, Internet of Things, cloud computing) have given rise to the data-centric models, such as servitization. Servitization here refers to firms selling a product as a service instead of selling product ownership, which has been viewed as a green business model that can benefit the environment. Despite the potential environmental superiority of servitization, previous studies and empirical observations have shown that the servitization model may generate lower profits than the conventional product sales model, which poses challenges for firms to choose their business models. However, the existing literature has not considered the role of data-centric technologies that are increasingly embedded in the servitization model, in which firms can co-create value with consumers by leveraging product usage data to improve service offerings. In this study, we build an analytical model to scrutinize the economic and environmental performance of the data-centric servitization model compared to the product model. We find that the data-centric servitization model is more profitable than the product model only when a firm’s service improvement capability is relatively high. Unfortunately, a high service improvement capability may exacerbate the negative environmental impact, resulting in the servitization model being less environmentally friendly than the product model. We discuss the circumstances under which using the servitization model can yield win-win outcomes in terms of profitability and environmental impact. The findings can help managers and policymakers reconcile the tension between firm profitability and environmental damage and make judicious decisions on business model choices and the application of emerging data-centric technologies.
{"title":"Servitization for the Environment? The Impact of Data-Centric Product-Service Models","authors":"Xin Zhang, Xiaolong Guo, W. Yue, Yugang Yu","doi":"10.1080/07421222.2022.2127454","DOIUrl":"https://doi.org/10.1080/07421222.2022.2127454","url":null,"abstract":"ABSTRACT Recent developments in data-centric technologies (e.g., big data, Internet of Things, cloud computing) have given rise to the data-centric models, such as servitization. Servitization here refers to firms selling a product as a service instead of selling product ownership, which has been viewed as a green business model that can benefit the environment. Despite the potential environmental superiority of servitization, previous studies and empirical observations have shown that the servitization model may generate lower profits than the conventional product sales model, which poses challenges for firms to choose their business models. However, the existing literature has not considered the role of data-centric technologies that are increasingly embedded in the servitization model, in which firms can co-create value with consumers by leveraging product usage data to improve service offerings. In this study, we build an analytical model to scrutinize the economic and environmental performance of the data-centric servitization model compared to the product model. We find that the data-centric servitization model is more profitable than the product model only when a firm’s service improvement capability is relatively high. Unfortunately, a high service improvement capability may exacerbate the negative environmental impact, resulting in the servitization model being less environmentally friendly than the product model. We discuss the circumstances under which using the servitization model can yield win-win outcomes in terms of profitability and environmental impact. The findings can help managers and policymakers reconcile the tension between firm profitability and environmental damage and make judicious decisions on business model choices and the application of emerging data-centric technologies.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"39 1","pages":"1146 - 1183"},"PeriodicalIF":7.7,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44360845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/07421222.2022.2127452
M. Queiroz, Paul P. Tallon, T. Coltman
ABSTRACT Organizations increasingly depend on information technology (IT) applications (apps) for competitive positioning. Governance of IT apps presents a unique set of challenges, particularly as organizations turn to shared IT apps across business units (IT apps relatedness). Shared IT apps can foment IT misalignment within business units, while also creating opportunities for learning-related synergies. This study develops the idea that an organization’s efforts to increase IT apps relatedness influence business unit agility and that this relationship is U-shaped. Analysis of data from 120 organizations provides support for a convex, U‐shaped, relationship. Furthermore, the U-shaped curve flattens under conditions of increased market uncertainty. This relationship highlights the need for IT governance to balance tension between business unit interests that seek autonomy over certain IT app choices and corporate interests that push for synergies based on shared IT apps. Failure to create this balance could impede business unit agility and hurt the broader organization.
{"title":"How Do Shared IT Applications Influence Agility? Theory and Evidence of a Convex Relationship","authors":"M. Queiroz, Paul P. Tallon, T. Coltman","doi":"10.1080/07421222.2022.2127452","DOIUrl":"https://doi.org/10.1080/07421222.2022.2127452","url":null,"abstract":"ABSTRACT Organizations increasingly depend on information technology (IT) applications (apps) for competitive positioning. Governance of IT apps presents a unique set of challenges, particularly as organizations turn to shared IT apps across business units (IT apps relatedness). Shared IT apps can foment IT misalignment within business units, while also creating opportunities for learning-related synergies. This study develops the idea that an organization’s efforts to increase IT apps relatedness influence business unit agility and that this relationship is U-shaped. Analysis of data from 120 organizations provides support for a convex, U‐shaped, relationship. Furthermore, the U-shaped curve flattens under conditions of increased market uncertainty. This relationship highlights the need for IT governance to balance tension between business unit interests that seek autonomy over certain IT app choices and corporate interests that push for synergies based on shared IT apps. Failure to create this balance could impede business unit agility and hurt the broader organization.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"39 1","pages":"1089 - 1115"},"PeriodicalIF":7.7,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42506168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/07421222.2022.2127451
Bei Yan, A. Hollingshead
ABSTRACT Some people contribute ideas for prosocial reasons in crowdsourcing; others do so for selfish reasons. Extending the theory of motivated information processing, the research posits that prosocial and proself individuals respond differently to reward structures in crowd idea generation. Two online experiments measured participants’ prosocial versus proself orientation and manipulated whether participants received a competitive or cooperative reward structure. Study 2 also manipulated whether participants viewed an original or a common peer idea. Proselfs produced more ideas when receiving competitive rewards; the idea generation of prosocials was not affected by the reward structure. This interaction effect was mediated by task effort and moderated the impact of peer ideas. Proselfs generated the most ideas when viewing an original peer idea and receiving competitive rewards; this effect was not observed for prosocials. The study contributes to crowdsourcing research by demonstrating that participants’ response to reward structures depends on their social value orientation. The implication is that crowdsourcing organizers should design tasks and rewards so they motivate participants with both prosocial and proself orientations.
{"title":"Motivating the Motivationally Diverse Crowd: Social Value Orientation and Reward Structure in Crowd Idea Generation","authors":"Bei Yan, A. Hollingshead","doi":"10.1080/07421222.2022.2127451","DOIUrl":"https://doi.org/10.1080/07421222.2022.2127451","url":null,"abstract":"ABSTRACT Some people contribute ideas for prosocial reasons in crowdsourcing; others do so for selfish reasons. Extending the theory of motivated information processing, the research posits that prosocial and proself individuals respond differently to reward structures in crowd idea generation. Two online experiments measured participants’ prosocial versus proself orientation and manipulated whether participants received a competitive or cooperative reward structure. Study 2 also manipulated whether participants viewed an original or a common peer idea. Proselfs produced more ideas when receiving competitive rewards; the idea generation of prosocials was not affected by the reward structure. This interaction effect was mediated by task effort and moderated the impact of peer ideas. Proselfs generated the most ideas when viewing an original peer idea and receiving competitive rewards; this effect was not observed for prosocials. The study contributes to crowdsourcing research by demonstrating that participants’ response to reward structures depends on their social value orientation. The implication is that crowdsourcing organizers should design tasks and rewards so they motivate participants with both prosocial and proself orientations.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"39 1","pages":"1064 - 1088"},"PeriodicalIF":7.7,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42617235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/07421222.2022.2127450
Tracy Ann Sykes, Ruba Aljafari
ABSTRACT Doctors and paraprofessionals operate in stressful environments that jeopardize their well-being and quality of care. E-healthcare systems have been promoted by government initiatives (e.g., HITECH act) to support healthcare services. Recent evidence suggests, however, that these systems contribute to job strain. Drawing on findings from a qualitative study and proximity and homophily theories, we integrate the healthcare context to develop and test a research model of friendship network ties among and between doctors and paraprofessionals as a coping mechanism for alleviating job strain. We test our model in a year-long field study in a hospital that implemented a new e-healthcare system, with two waves of data collected from 152 doctors and 731 paraprofessionals. Our findings move beyond the classical view of friendship as a conduit of coping by suggesting that the source of friendship network ties could reduce or aggravate strain as doctors and paraprofessionals continue to interact with the system over time.
{"title":"We Are All in This Together, or Are We? Job Strain and Coping in the Context of an E-Healthcare System Implementation","authors":"Tracy Ann Sykes, Ruba Aljafari","doi":"10.1080/07421222.2022.2127450","DOIUrl":"https://doi.org/10.1080/07421222.2022.2127450","url":null,"abstract":"ABSTRACT Doctors and paraprofessionals operate in stressful environments that jeopardize their well-being and quality of care. E-healthcare systems have been promoted by government initiatives (e.g., HITECH act) to support healthcare services. Recent evidence suggests, however, that these systems contribute to job strain. Drawing on findings from a qualitative study and proximity and homophily theories, we integrate the healthcare context to develop and test a research model of friendship network ties among and between doctors and paraprofessionals as a coping mechanism for alleviating job strain. We test our model in a year-long field study in a hospital that implemented a new e-healthcare system, with two waves of data collected from 152 doctors and 731 paraprofessionals. Our findings move beyond the classical view of friendship as a conduit of coping by suggesting that the source of friendship network ties could reduce or aggravate strain as doctors and paraprofessionals continue to interact with the system over time.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"39 1","pages":"1215 - 1247"},"PeriodicalIF":7.7,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41559937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/07421222.2022.2127453
Murtaza Nasir, Ali Dağ, Serhat Simsek, A. Ivanov, A. Oztekin
ABSTRACT Machine learning is widely used in information systems design. Yet, training algorithms on imbalanced datasets may severely affect performance on unseen data. For example, in some cases in healthcare, fintech, or cybersecurity contexts, certain subclasses are difficult to learn because they are underrepresented in training data. Our study offers a flexible and efficient solution based on a new synthetic average neighborhood sampling algorithm (SANSA), which, in contrast to other solutions, introduces a novel “placement” parameter that can be tuned to adapt to each dataset’s unique manifestation of the imbalance. This package can be downloaded for R 1 . We tested SANSA against seven existing sampling methods used in conjunction with the four most frequently used machine learning models trained on 14 benchmark datasets. Our results provide suggestive evidence that SANSA offers a feasible solution to the imbalance problem for most datasets. Our findings provide practical recommendations for how SANSA can be effectively implemented while reducing the complexity level of an imbalanced learning pipeline.
{"title":"Improving Imbalanced Machine Learning with Neighborhood-Informed Synthetic Sample Placement","authors":"Murtaza Nasir, Ali Dağ, Serhat Simsek, A. Ivanov, A. Oztekin","doi":"10.1080/07421222.2022.2127453","DOIUrl":"https://doi.org/10.1080/07421222.2022.2127453","url":null,"abstract":"ABSTRACT Machine learning is widely used in information systems design. Yet, training algorithms on imbalanced datasets may severely affect performance on unseen data. For example, in some cases in healthcare, fintech, or cybersecurity contexts, certain subclasses are difficult to learn because they are underrepresented in training data. Our study offers a flexible and efficient solution based on a new synthetic average neighborhood sampling algorithm (SANSA), which, in contrast to other solutions, introduces a novel “placement” parameter that can be tuned to adapt to each dataset’s unique manifestation of the imbalance. This package can be downloaded for R 1 . We tested SANSA against seven existing sampling methods used in conjunction with the four most frequently used machine learning models trained on 14 benchmark datasets. Our results provide suggestive evidence that SANSA offers a feasible solution to the imbalance problem for most datasets. Our findings provide practical recommendations for how SANSA can be effectively implemented while reducing the complexity level of an imbalanced learning pipeline.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"39 1","pages":"1116 - 1145"},"PeriodicalIF":7.7,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44561119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-26DOI: 10.1080/07421222.2022.2096540
Vladimir Zwass
Published in Journal of Management Information Systems (Vol. 39, No. 3, 2022)
发表于《管理信息系统学报》(Vol. 39, No. 3, 2022)
{"title":"Editorial Introduction","authors":"Vladimir Zwass","doi":"10.1080/07421222.2022.2096540","DOIUrl":"https://doi.org/10.1080/07421222.2022.2096540","url":null,"abstract":"Published in Journal of Management Information Systems (Vol. 39, No. 3, 2022)","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"197 3","pages":""},"PeriodicalIF":7.7,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138520279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/07421222.2022.2096543
Chen Jin, Chenguang (Allen) Wu, Atanu Lahiri
ABSTRACT Bundling is considered to be an effective pricing strategy for zero-marginal-cost information goods. Yet, in many information-goods markets, the effectiveness of bundling remains hard to ascertain. This is because information goods exhibit other characteristics as well, which can potentially interfere with a manufacturer’s bundling decision. For instance, they are also prone to piracy, and it is not obvious what impact, if any, piracy can have on the efficacy of bundling. To address this issue rigorously, we reexamine the classic bundling problem with the backdrop of piracy and show that piracy can severely diminish the appeal of bundling to a monopolist seller. Evidently, bundling abets piracy and, in certain situations, so much so that the losses from piracy more than nullify the traditional benefits of bundling. This insight is in fact fairly generalizable. The implication for manufacturers of digital goods is that they need to take piracy into consideration in their bundling decision. In particular, they should consider refraining from bundling when the illegal products are close substitutes for the legal ones.
{"title":"Piracy and Bundling of Information Goods","authors":"Chen Jin, Chenguang (Allen) Wu, Atanu Lahiri","doi":"10.1080/07421222.2022.2096543","DOIUrl":"https://doi.org/10.1080/07421222.2022.2096543","url":null,"abstract":"ABSTRACT Bundling is considered to be an effective pricing strategy for zero-marginal-cost information goods. Yet, in many information-goods markets, the effectiveness of bundling remains hard to ascertain. This is because information goods exhibit other characteristics as well, which can potentially interfere with a manufacturer’s bundling decision. For instance, they are also prone to piracy, and it is not obvious what impact, if any, piracy can have on the efficacy of bundling. To address this issue rigorously, we reexamine the classic bundling problem with the backdrop of piracy and show that piracy can severely diminish the appeal of bundling to a monopolist seller. Evidently, bundling abets piracy and, in certain situations, so much so that the losses from piracy more than nullify the traditional benefits of bundling. This insight is in fact fairly generalizable. The implication for manufacturers of digital goods is that they need to take piracy into consideration in their bundling decision. In particular, they should consider refraining from bundling when the illegal products are close substitutes for the legal ones.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"39 1","pages":"906 - 933"},"PeriodicalIF":7.7,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49177540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/07421222.2022.2096541
Michelle Müller, Jürgen Neumann, Dennis Kundisch
ABSTRACT Peer-to-peer (P2P) rental markets have been shown to adversely impact the traditional hospitality industry and housing affordability, fueling the public demand for regulation. While localities around the globe have implemented policies to address these issues, little is known about how rental suppliers respond to those regulations. This study aims to empirically analyze the impact of such policy regulations on the prices charged by different types of rental suppliers. We employed a quasi-experimental research design based on an extensive dataset including more than 50,000 Airbnb listings to uncover the impact of a policy implemented in New Orleans, which introduced annual bring-to-market (BTM) costs through a mandatory licensing system while simultaneously banning listings from one city-center neighborhood. We find that, while non-commercial hosts completely pass their additional costs onto their consumers, irrespectively of demand and supply shifts, commercial hosts’ responses are more nuanced. Those with legalized listings located in the city center only partially pass on their costs to guests, while even decreasing their prices in the rest of the city. Our study contributes to the understanding of pricing in P2P rental markets and its effects. Further, it informs localities and supports policy analytics. With P2P renting remaining attractive in city parts where BTM costs can easily be passed through to consumers, this suggests that these regulatory policies fall short of reducing pressure on housing affordability in the city-center.
{"title":"Peer-To-Peer Rentals, Regulatory Policies, And Hosts’ Cost Pass-Throughs","authors":"Michelle Müller, Jürgen Neumann, Dennis Kundisch","doi":"10.1080/07421222.2022.2096541","DOIUrl":"https://doi.org/10.1080/07421222.2022.2096541","url":null,"abstract":"ABSTRACT Peer-to-peer (P2P) rental markets have been shown to adversely impact the traditional hospitality industry and housing affordability, fueling the public demand for regulation. While localities around the globe have implemented policies to address these issues, little is known about how rental suppliers respond to those regulations. This study aims to empirically analyze the impact of such policy regulations on the prices charged by different types of rental suppliers. We employed a quasi-experimental research design based on an extensive dataset including more than 50,000 Airbnb listings to uncover the impact of a policy implemented in New Orleans, which introduced annual bring-to-market (BTM) costs through a mandatory licensing system while simultaneously banning listings from one city-center neighborhood. We find that, while non-commercial hosts completely pass their additional costs onto their consumers, irrespectively of demand and supply shifts, commercial hosts’ responses are more nuanced. Those with legalized listings located in the city center only partially pass on their costs to guests, while even decreasing their prices in the rest of the city. Our study contributes to the understanding of pricing in P2P rental markets and its effects. Further, it informs localities and supports policy analytics. With P2P renting remaining attractive in city parts where BTM costs can easily be passed through to consumers, this suggests that these regulatory policies fall short of reducing pressure on housing affordability in the city-center.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"39 1","pages":"834 - 864"},"PeriodicalIF":7.7,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42013150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/07421222.2022.2096552
R. Kauffman, Thomas A. Weber
Interpretation of the history of technology and a different way of thinking about the future of work—as a race between automation and new, labor-intensive tasks. Labor demand has not increased steadily over the last two centuries because of technologies that have made labor more productive in everything. Rather, many new technologies have sought to eliminate labor from tasks in which it previously specialized. All the same, labour has benefited from advances in technology because other technologies have simultaneously enabled the introduction of new labor-intensive tasks. These new tasks have done more than just reinstate labor as a central input into the production process; they have also played a vital role in productivity growth . Chamber of Commerce’s Global Innovation Policy Center and NERA Economic Consulting has found that global piracy of movies and TV shows is threatening the industry’s growth and costing the U.S. economy at least $29.2 bn in lost revenue every year. That is a conservative estimate and the research states that actual losses could be as high as $71 bn annually
{"title":"Special Section: Reevaluating Markets for Information","authors":"R. Kauffman, Thomas A. Weber","doi":"10.1080/07421222.2022.2096552","DOIUrl":"https://doi.org/10.1080/07421222.2022.2096552","url":null,"abstract":"Interpretation of the history of technology and a different way of thinking about the future of work—as a race between automation and new, labor-intensive tasks. Labor demand has not increased steadily over the last two centuries because of technologies that have made labor more productive in everything. Rather, many new technologies have sought to eliminate labor from tasks in which it previously specialized. All the same, labour has benefited from advances in technology because other technologies have simultaneously enabled the introduction of new labor-intensive tasks. These new tasks have done more than just reinstate labor as a central input into the production process; they have also played a vital role in productivity growth . Chamber of Commerce’s Global Innovation Policy Center and NERA Economic Consulting has found that global piracy of movies and TV shows is threatening the industry’s growth and costing the U.S. economy at least $29.2 bn in lost revenue every year. That is a conservative estimate and the research states that actual losses could be as high as $71 bn annually","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"39 1","pages":"824 - 833"},"PeriodicalIF":7.7,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45170769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/07421222.2022.2096550
Eun Hee Park, K. Werder, Lan Cao, B. Ramesh
ABSTRACT Artificial intelligence (AI) enables continuous monitoring of patients’ health, thus improving the quality of their health care. However, prior studies suggest that individuals resist such innovative technology. In contrast to prior studies that investigate individuals’ decisions for themselves, we focus on family members’ rejection of AI monitoring, as family members play a significant role in health care decisions. Our research investigates competing effects of emotions toward the rejection of AI monitoring for health care. Based on two scenario-based experiments, our study reveals that emotions play a decisive role in family members’ decision making on behalf of their parents. We find that anxiety about health care monitoring and anxiety about health outcomes reduce the rejection of AI monitoring, whereas surveillance anxiety and delegation anxiety increase rejection. We also find that for individual-level risks, perceived controllability moderates the relationship between surveillance anxiety and the rejection of AI monitoring. We contribute to the theory of Information System rejection by identifying the competing roles of emotions in AI monitoring decision making. We extend the literature on decision making for others by suggesting the influential role of anxiety. We also contribute to healthcare research in Information System by identifying the important role of controllability, a design factor, in AI monitoring rejection.
{"title":"Why do Family Members Reject AI in Health Care? Competing Effects of Emotions","authors":"Eun Hee Park, K. Werder, Lan Cao, B. Ramesh","doi":"10.1080/07421222.2022.2096550","DOIUrl":"https://doi.org/10.1080/07421222.2022.2096550","url":null,"abstract":"ABSTRACT Artificial intelligence (AI) enables continuous monitoring of patients’ health, thus improving the quality of their health care. However, prior studies suggest that individuals resist such innovative technology. In contrast to prior studies that investigate individuals’ decisions for themselves, we focus on family members’ rejection of AI monitoring, as family members play a significant role in health care decisions. Our research investigates competing effects of emotions toward the rejection of AI monitoring for health care. Based on two scenario-based experiments, our study reveals that emotions play a decisive role in family members’ decision making on behalf of their parents. We find that anxiety about health care monitoring and anxiety about health outcomes reduce the rejection of AI monitoring, whereas surveillance anxiety and delegation anxiety increase rejection. We also find that for individual-level risks, perceived controllability moderates the relationship between surveillance anxiety and the rejection of AI monitoring. We contribute to the theory of Information System rejection by identifying the competing roles of emotions in AI monitoring decision making. We extend the literature on decision making for others by suggesting the influential role of anxiety. We also contribute to healthcare research in Information System by identifying the important role of controllability, a design factor, in AI monitoring rejection.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"39 1","pages":"765 - 792"},"PeriodicalIF":7.7,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46795140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：