Journal of Management Information Systems最新文献_第9页

Servitization for the Environment? The Impact of Data-Centric Product-Service Models 为环境服务？以数据为中心的产品服务模型的影响

IF 7.7 2区管理学

Journal of Management Information Systems Pub Date : 2022-10-02 DOI: 10.1080/07421222.2022.2127454

Xin Zhang, Xiaolong Guo, W. Yue, Yugang Yu

{"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}

引用次数: 2

How Do Shared IT Applications Influence Agility? Theory and Evidence of a Convex Relationship 共享IT应用程序如何影响敏捷性？凸关系的理论与证据

IF 7.7 2区管理学

Journal of Management Information Systems Pub Date : 2022-10-02 DOI: 10.1080/07421222.2022.2127452

M. Queiroz, Paul P. Tallon, T. Coltman

引用次数: 2

Motivating the Motivationally Diverse Crowd: Social Value Orientation and Reward Structure in Crowd Idea Generation 激励动机多样化的人群：人群观念生成中的社会价值取向和报酬结构

IF 7.7 2区管理学

Journal of Management Information Systems Pub Date : 2022-10-02 DOI: 10.1080/07421222.2022.2127451

Bei Yan, A. Hollingshead

{"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}

引用次数: 1

We Are All in This Together, or Are We? Job Strain and Coping in the Context of an E-Healthcare System Implementation 我们在一起，还是我们在一起？电子医疗系统实施背景下的工作压力与应对

IF 7.7 2区管理学

Journal of Management Information Systems Pub Date : 2022-10-02 DOI: 10.1080/07421222.2022.2127450

Tracy Ann Sykes, Ruba Aljafari

引用次数: 0

Improving Imbalanced Machine Learning with Neighborhood-Informed Synthetic Sample Placement 利用邻域知情的合成样本放置改进不平衡机器学习

IF 7.7 2区管理学

Journal of Management Information Systems Pub Date : 2022-10-02 DOI: 10.1080/07421222.2022.2127453

Murtaza Nasir, Ali Dağ, Serhat Simsek, A. Ivanov, A. Oztekin

{"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}

引用次数: 0

Editorial Introduction 编辑介绍

IF 7.7 2区管理学

Journal of Management Information Systems Pub Date : 2022-08-26 DOI: 10.1080/07421222.2022.2096540

Vladimir Zwass

引用次数: 0

Piracy and Bundling of Information Goods 盗版和信息产品捆绑

IF 7.7 2区管理学

Journal of Management Information Systems Pub Date : 2022-07-03 DOI: 10.1080/07421222.2022.2096543

Chen Jin, Chenguang (Allen) Wu, Atanu Lahiri

引用次数: 4

Peer-To-Peer Rentals, Regulatory Policies, And Hosts’ Cost Pass-Throughs 对等租金、监管政策和房东的成本转嫁

IF 7.7 2区管理学

Journal of Management Information Systems Pub Date : 2022-07-03 DOI: 10.1080/07421222.2022.2096541

Michelle Müller, Jürgen Neumann, Dennis Kundisch

{"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}

引用次数: 1

Special Section: Reevaluating Markets for Information 特别科:重新评价信息市场

IF 7.7 2区管理学

Journal of Management Information Systems Pub Date : 2022-07-03 DOI: 10.1080/07421222.2022.2096552

R. Kauffman, Thomas A. Weber

引用次数: 0

Why do Family Members Reject AI in Health Care? Competing Effects of Emotions 为什么家庭成员拒绝医疗保健中的人工智能?情绪的竞争效应

IF 7.7 2区管理学

Journal of Management Information Systems Pub Date : 2022-07-03 DOI: 10.1080/07421222.2022.2096550

Eun Hee Park, K. Werder, Lan Cao, B. Ramesh

{"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}

引用次数: 3