Bei Yan, Feng Mai, Chaojiang Wu, Rui Chen, Xiaolin Li
Firms’ public communication on social media during disasters can benefit both disaster response efficiency and the perception of the corporate image. Despite its importance, limited guidelines are available to inform firms’ disaster communication strategies. The current study examines firms’ communication on social media in various disasters and how it impacts public engagement. We employ a novel natural language processing (NLP) approach, Semantic Projection with Active Retrieval (SPAR), to analyze Facebook posts made by Russell 3000 firms between 2009 and 2022 concerning various disasters. We show that firm communication can be measured based on two dimensions derived from the Competing Values Framework (CVF): internal versus external and stable versus flexible. We find that social media messages that emphasize operational continuity (internal/stable-oriented) are more popular during biological disasters. By contrast, messages that stress innovations and adaptations to disasters (external/flexible-oriented) elicit more engagement in weather-related disasters. The study offers a framework to characterize and guide firms’ design of disaster communication on social media in different disaster contexts. Our SPAR method is also available to firms to analyze their social media data and uncover the underlying patterns in communication across different contexts.
{"title":"A Computational Framework for Understanding Firm Communication During Disasters","authors":"Bei Yan, Feng Mai, Chaojiang Wu, Rui Chen, Xiaolin Li","doi":"10.1287/isre.2022.0128","DOIUrl":"https://doi.org/10.1287/isre.2022.0128","url":null,"abstract":"Firms’ public communication on social media during disasters can benefit both disaster response efficiency and the perception of the corporate image. Despite its importance, limited guidelines are available to inform firms’ disaster communication strategies. The current study examines firms’ communication on social media in various disasters and how it impacts public engagement. We employ a novel natural language processing (NLP) approach, Semantic Projection with Active Retrieval (SPAR), to analyze Facebook posts made by Russell 3000 firms between 2009 and 2022 concerning various disasters. We show that firm communication can be measured based on two dimensions derived from the Competing Values Framework (CVF): internal versus external and stable versus flexible. We find that social media messages that emphasize operational continuity (internal/stable-oriented) are more popular during biological disasters. By contrast, messages that stress innovations and adaptations to disasters (external/flexible-oriented) elicit more engagement in weather-related disasters. The study offers a framework to characterize and guide firms’ design of disaster communication on social media in different disaster contexts. Our SPAR method is also available to firms to analyze their social media data and uncover the underlying patterns in communication across different contexts.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"309 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135475583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ojelanki Ngwenyama, Frantz Rowe, Stefan Klein, Helle Zinner Henriksen
Although some scholars raise alarm about societal harm emerging from Big Data practices, critical social theory (CST) Information Systems research on the structures and dynamics driving Big Data practices is rare. In this research commentary, we interrogate how tech firms use social practices and platform design to strategically manipulate individuals into accepting datafication and data assetization that accrue positive data network effects for themselves and mostly negative data network effects (economic loss, social and privacy harm) for individuals. We draw on the ideas of Heidegger and Marcuse to critically question the Big Data paradigm in order to develop better understanding of the social implications for individuals and society. Using the concepts of false consciousness, digital entrapment, and Faustian bargains, we critically inquire into the Big Data practices that keep us tethered to digital platforms. Specifically, we interrogate sociomaterial structures that socially condition individuals into a digital habitus and to identify themselves as homo digitalis, who view all their “relations” (social and economic) as digital. This social conditioning reproduces a false consciousness that constricts our worldview, undermines our rational choices, and enables the risky compromises we make with tech companies that manipulate and exploit us with their increasingly oppressive Big Data practices and related dark patterns. We critically analyze the case of Microsoft Viva to provide an illustration of how mundane digital tools can condition our reality and entrap us into an open prison. We argue that if we do not critically interrogate our false consciousness of the digital and understand how digital giants colonize our social systems by structurally embedding Big Data practices, we will continue to be susceptible to manipulation and digital entrapment. Ongoing risky compromises with tech firms will erode the very foundations of the “good life,” freedom, liberty, and personal privacy, and they will institutionalize the open prison. The CST explanation we propose and the research agenda we outline are meant to encourage research into solutions to the digital entrapment problem. History: Suprateek Sarker, Senior Editor; Robert Gregory, Associate Editor. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2020.0588 .
{"title":"The Open Prison of the Big Data Revolution: False Consciousness, Faustian Bargains, and Digital Entrapment","authors":"Ojelanki Ngwenyama, Frantz Rowe, Stefan Klein, Helle Zinner Henriksen","doi":"10.1287/isre.2020.0588","DOIUrl":"https://doi.org/10.1287/isre.2020.0588","url":null,"abstract":"Although some scholars raise alarm about societal harm emerging from Big Data practices, critical social theory (CST) Information Systems research on the structures and dynamics driving Big Data practices is rare. In this research commentary, we interrogate how tech firms use social practices and platform design to strategically manipulate individuals into accepting datafication and data assetization that accrue positive data network effects for themselves and mostly negative data network effects (economic loss, social and privacy harm) for individuals. We draw on the ideas of Heidegger and Marcuse to critically question the Big Data paradigm in order to develop better understanding of the social implications for individuals and society. Using the concepts of false consciousness, digital entrapment, and Faustian bargains, we critically inquire into the Big Data practices that keep us tethered to digital platforms. Specifically, we interrogate sociomaterial structures that socially condition individuals into a digital habitus and to identify themselves as homo digitalis, who view all their “relations” (social and economic) as digital. This social conditioning reproduces a false consciousness that constricts our worldview, undermines our rational choices, and enables the risky compromises we make with tech companies that manipulate and exploit us with their increasingly oppressive Big Data practices and related dark patterns. We critically analyze the case of Microsoft Viva to provide an illustration of how mundane digital tools can condition our reality and entrap us into an open prison. We argue that if we do not critically interrogate our false consciousness of the digital and understand how digital giants colonize our social systems by structurally embedding Big Data practices, we will continue to be susceptible to manipulation and digital entrapment. Ongoing risky compromises with tech firms will erode the very foundations of the “good life,” freedom, liberty, and personal privacy, and they will institutionalize the open prison. The CST explanation we propose and the research agenda we outline are meant to encourage research into solutions to the digital entrapment problem. History: Suprateek Sarker, Senior Editor; Robert Gregory, Associate Editor. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2020.0588 .","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"65 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135813173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PRACTICE AND POLICY ABSTRACT We consider the formation of a coalition when districts invest in critical IT infrastructure that, if disrupted, can cause significant damage to security, the economy, public health, or safety. The benefits from these investments can spill over to other districts. Districts choose whether to participate in a coalition, and the coalition subsequently makes IT infrastructure investment decisions for those districts that join the coalition. These inside districts have superior interoperability in their spillovers relative to outside districts. We find that inside districts’ resource levels decrease with the size of the coalition, and this size depends on the coalition’s economies of scale and relative interoperability. Depending on these factors, any size coalition can be an equilibrium or socially optimal. In most cases, the socially optimal coalition size is larger than the equilibrium coalition. A subsidy or tax can incentivize the equilibrium coalition size and district investment levels to be socially optimal, providing a general solution to the provisioning of critical IT infrastructure. We use the European Union’s Digital COVID Certificate program providing vaccine status information and the U.S. Government’s Direct Project that supports the establishment of nationwide health information exchanges to illustrate elements of our model.
{"title":"Join Up or Stay Away? Coalition Formation for Critical IT Infrastructure","authors":"Hong Guo, Yipeng Liu, Barrie R. Nault","doi":"10.1287/isre.2021.0463","DOIUrl":"https://doi.org/10.1287/isre.2021.0463","url":null,"abstract":"PRACTICE AND POLICY ABSTRACT We consider the formation of a coalition when districts invest in critical IT infrastructure that, if disrupted, can cause significant damage to security, the economy, public health, or safety. The benefits from these investments can spill over to other districts. Districts choose whether to participate in a coalition, and the coalition subsequently makes IT infrastructure investment decisions for those districts that join the coalition. These inside districts have superior interoperability in their spillovers relative to outside districts. We find that inside districts’ resource levels decrease with the size of the coalition, and this size depends on the coalition’s economies of scale and relative interoperability. Depending on these factors, any size coalition can be an equilibrium or socially optimal. In most cases, the socially optimal coalition size is larger than the equilibrium coalition. A subsidy or tax can incentivize the equilibrium coalition size and district investment levels to be socially optimal, providing a general solution to the provisioning of critical IT infrastructure. We use the European Union’s Digital COVID Certificate program providing vaccine status information and the U.S. Government’s Direct Project that supports the establishment of nationwide health information exchanges to illustrate elements of our model.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"22 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135411532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiaying Deng, Mingwen Yang, Matthias Pelster, Yong Tan
Social trading is an emerging market in the sharing economy, allowing investors (followers) to duplicate the trades of other investors (leaders) in real time. We analyze the formation and dissolution of links in a large social trading network. Such networks are characterized by the rapid dissolution of links, increasing the importance of studying network dissolution. We investigate how social communication, along with financial performance and demographics, affects dynamic network evolution. We show that different types of social communication, such as posts and comments, have different implications for link formation and dissolution. Moreover, we find financial performance to be highly important for link formation and dissolution, whereas demographic characteristics are only relevant for link formation. In social trading, the extreme flexibility of followers in dissolving links and thereby, terminating their relationship instantaneously brings about large income uncertainty for leaders. Thus, a thorough understanding of network evolution and its determinants is crucial for leaders. Our results can provide guidance on when and how to communicate with followers. As vocal leaders on social media may exert a significant influence on financial markets—as demonstrated by recent the GameStop frenzy—a better understanding of the evolution of investment networks is also important for regulators.
{"title":"Social Trading, Communication, and Networks","authors":"Jiaying Deng, Mingwen Yang, Matthias Pelster, Yong Tan","doi":"10.1287/isre.2021.0143","DOIUrl":"https://doi.org/10.1287/isre.2021.0143","url":null,"abstract":"Social trading is an emerging market in the sharing economy, allowing investors (followers) to duplicate the trades of other investors (leaders) in real time. We analyze the formation and dissolution of links in a large social trading network. Such networks are characterized by the rapid dissolution of links, increasing the importance of studying network dissolution. We investigate how social communication, along with financial performance and demographics, affects dynamic network evolution. We show that different types of social communication, such as posts and comments, have different implications for link formation and dissolution. Moreover, we find financial performance to be highly important for link formation and dissolution, whereas demographic characteristics are only relevant for link formation. In social trading, the extreme flexibility of followers in dissolving links and thereby, terminating their relationship instantaneously brings about large income uncertainty for leaders. Thus, a thorough understanding of network evolution and its determinants is crucial for leaders. Our results can provide guidance on when and how to communicate with followers. As vocal leaders on social media may exert a significant influence on financial markets—as demonstrated by recent the GameStop frenzy—a better understanding of the evolution of investment networks is also important for regulators.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135617618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhengrui Jiang, Arun Rai, Hua Sun, Cheng Nie, Yuheng Hu
This study highlights the critical function that digital real estate platforms, like Zillow, serve in facilitating effective property transactions. They do this by transmitting vital property information from sellers to buyers, thereby enriching the value of offline deals. Our findings indicate that Zillow, as a source of information, is incredibly valuable for properties that deviate significantly from their neighborhood’s average value, either above or below. It’s particularly useful in conveying experiential details through images and textual descriptions. For potential buyers, Zillow is a trustworthy source of property information for estimating property value, especially when alternative sources of information are limited. This study underscores the necessity for sellers and their agents to effectively represent property information online, considering its significant impact on sale prices. This is especially true for unique properties and properties with notable experiential elements. Furthermore, our study suggests that real estate professionals need to modify their business practices to take full advantage of digital platforms and provide superior services to their clients. Finally, digital real estate platforms can use these insights to enhance their platform design by focusing on the collection and display of significant information, ultimately increasing the value provided to both buyers and sellers of properties.
{"title":"How Does Online Information Influence Offline Transactions? Insights from Digital Real Estate Platforms","authors":"Zhengrui Jiang, Arun Rai, Hua Sun, Cheng Nie, Yuheng Hu","doi":"10.1287/isre.2020.0658","DOIUrl":"https://doi.org/10.1287/isre.2020.0658","url":null,"abstract":"This study highlights the critical function that digital real estate platforms, like Zillow, serve in facilitating effective property transactions. They do this by transmitting vital property information from sellers to buyers, thereby enriching the value of offline deals. Our findings indicate that Zillow, as a source of information, is incredibly valuable for properties that deviate significantly from their neighborhood’s average value, either above or below. It’s particularly useful in conveying experiential details through images and textual descriptions. For potential buyers, Zillow is a trustworthy source of property information for estimating property value, especially when alternative sources of information are limited. This study underscores the necessity for sellers and their agents to effectively represent property information online, considering its significant impact on sale prices. This is especially true for unique properties and properties with notable experiential elements. Furthermore, our study suggests that real estate professionals need to modify their business practices to take full advantage of digital platforms and provide superior services to their clients. Finally, digital real estate platforms can use these insights to enhance their platform design by focusing on the collection and display of significant information, ultimately increasing the value provided to both buyers and sellers of properties.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135995133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Practitioner’s Abstract Online platforms/retailers widely use collaborative filtering (CF)-based generic product recommendations to improve sales. These systems recommend products to a consumer based on the product co-views and co-purchases by other consumers on the website but do not leverage the consumer’s browsing data. Based on a field study on a U.S. fashion apparel and home goods retailer’s website, we show that informing generic CF recommendations to individual consumers’ browsing history can generate substantial additional sales. Specifically, we show that it is optimal to offer generic CF recommendations to a consumer if the consumer has not carted a product and recommend products he or she has seen in the previous sessions (retargeted recommendations) if he or she has carted a product. Our simulation results show that such recommendations could result in a 3% increase in total sales compared with conventional generic CF recommendations. Online platforms/retailers with detailed consumer browsing data can implement such recommendations to achieve higher sales.
{"title":"Retargeted Versus Generic Product Recommendations: When is it Valuable to Present Retargeted Recommendations?","authors":"Xiang (Shawn) Wan, Anuj Kumar, Xitong Li","doi":"10.1287/isre.2020.0560","DOIUrl":"https://doi.org/10.1287/isre.2020.0560","url":null,"abstract":"Practitioner’s Abstract Online platforms/retailers widely use collaborative filtering (CF)-based generic product recommendations to improve sales. These systems recommend products to a consumer based on the product co-views and co-purchases by other consumers on the website but do not leverage the consumer’s browsing data. Based on a field study on a U.S. fashion apparel and home goods retailer’s website, we show that informing generic CF recommendations to individual consumers’ browsing history can generate substantial additional sales. Specifically, we show that it is optimal to offer generic CF recommendations to a consumer if the consumer has not carted a product and recommend products he or she has seen in the previous sessions (retargeted recommendations) if he or she has carted a product. Our simulation results show that such recommendations could result in a 3% increase in total sales compared with conventional generic CF recommendations. Online platforms/retailers with detailed consumer browsing data can implement such recommendations to achieve higher sales.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Understanding the development trajectory of digital platforms is central to digital platform management. We develop a parametric model that investigates the development trajectories of blockchain platforms, accounting for the feedback between blockchains’ utility change and people’s adoption and abandonment behavior. We consider a typical blockchain participant to simultaneously play three roles on the platform, user, investor, and laborer, each contributing to blockchains’ multi-faceted utility: providing service for transaction/interaction, providing a medium for digital investment, and providing workspace for online labor. The model describes a three-phase development trajectory for blockchain platforms: a chaotic initial stage, a rapid growth stage, and a mature stage of stable market cycles. The model was used to match 112 token price series, demonstrating robust performance across different fitting setups and outperforming existing models. The study identifies two temporal parameters, the time delay in quitting the platform and the holding time of the platform’s token, that significantly differentiate blockchains’ development trajectories. We extend the model to study forking events; results suggest that fork launch time is more important than forking amplitude in influencing the main chain’s subsequent development and that forking can increase the exposure of the forked platform.
{"title":"Development Trajectory of Blockchain Platforms: The Role of Multirole","authors":"Tianyi Li, Xiaoquan (Michael) Zhang","doi":"10.1287/isre.2022.0243","DOIUrl":"https://doi.org/10.1287/isre.2022.0243","url":null,"abstract":"Understanding the development trajectory of digital platforms is central to digital platform management. We develop a parametric model that investigates the development trajectories of blockchain platforms, accounting for the feedback between blockchains’ utility change and people’s adoption and abandonment behavior. We consider a typical blockchain participant to simultaneously play three roles on the platform, user, investor, and laborer, each contributing to blockchains’ multi-faceted utility: providing service for transaction/interaction, providing a medium for digital investment, and providing workspace for online labor. The model describes a three-phase development trajectory for blockchain platforms: a chaotic initial stage, a rapid growth stage, and a mature stage of stable market cycles. The model was used to match 112 token price series, demonstrating robust performance across different fitting setups and outperforming existing models. The study identifies two temporal parameters, the time delay in quitting the platform and the holding time of the platform’s token, that significantly differentiate blockchains’ development trajectories. We extend the model to study forking events; results suggest that fork launch time is more important than forking amplitude in influencing the main chain’s subsequent development and that forking can increase the exposure of the forked platform.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135858451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anindya Ghose, Heeseung Andrew Lee, Wonseok Oh, Yoonseock Son
Digital tracing alerts (DTAs) have emerged as effective means to share information with agility in responding to disaster outbreaks. Governments are able to instantaneously coordinate the available information to provide information related to the disaster and promote preventive actions. However, despite the opportunities granted by these innovative technologies in managing disasters, privacy concerns can arise in regard to how much of individuals’ private information should be collected and disclosed. With these considerations, we examine the extent to which instant digital tracing alerts and the information included in the alerts affect people’s actions toward disaster management in the context of South Korea. Our results show that collecting and disclosing detailed private information is unnecessary and may instead diminish the effects of DTAs. The effect of digital alerts being more pronounced among young and male individuals and in business-centric areas. Furthermore, because the effectiveness of DTAs decreases with the cumulative number of DTAs received, governments should send alerts that include more urgent information that is directly related to the risk posed by a disaster. Our results provide policymakers and law enforcement with novel insights into whether and how the usage of information technology can facilitate disaster management and to what extent they should collect and expose private information to effectively safeguards public health and safety during a crisis. The fast and comprehensive implementation of DTAs in South Korea in response to the global outbreak offers other countries learning opportunities with respect to successful collaboration among parties involved in the development and design of DTA-related infrastructure and education. We emphasize that collaboration among central policymakers, local/municipal districts, telecommunications companies, and healthcare centers is essential to establishing an innovative IT-driven disaster management infrastructure and mechanisms that help inform citizens in taking desired actions in an emergency or disastrous events.
{"title":"Leveraging the Digital Tracing Alert in Virus Fight: The Impact of COVID-19 Cell Broadcast on Population Movement","authors":"Anindya Ghose, Heeseung Andrew Lee, Wonseok Oh, Yoonseock Son","doi":"10.1287/isre.2022.0117","DOIUrl":"https://doi.org/10.1287/isre.2022.0117","url":null,"abstract":"Digital tracing alerts (DTAs) have emerged as effective means to share information with agility in responding to disaster outbreaks. Governments are able to instantaneously coordinate the available information to provide information related to the disaster and promote preventive actions. However, despite the opportunities granted by these innovative technologies in managing disasters, privacy concerns can arise in regard to how much of individuals’ private information should be collected and disclosed. With these considerations, we examine the extent to which instant digital tracing alerts and the information included in the alerts affect people’s actions toward disaster management in the context of South Korea. Our results show that collecting and disclosing detailed private information is unnecessary and may instead diminish the effects of DTAs. The effect of digital alerts being more pronounced among young and male individuals and in business-centric areas. Furthermore, because the effectiveness of DTAs decreases with the cumulative number of DTAs received, governments should send alerts that include more urgent information that is directly related to the risk posed by a disaster. Our results provide policymakers and law enforcement with novel insights into whether and how the usage of information technology can facilitate disaster management and to what extent they should collect and expose private information to effectively safeguards public health and safety during a crisis. The fast and comprehensive implementation of DTAs in South Korea in response to the global outbreak offers other countries learning opportunities with respect to successful collaboration among parties involved in the development and design of DTA-related infrastructure and education. We emphasize that collaboration among central policymakers, local/municipal districts, telecommunications companies, and healthcare centers is essential to establishing an innovative IT-driven disaster management infrastructure and mechanisms that help inform citizens in taking desired actions in an emergency or disastrous events.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135968033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Geng Sun, Yeongin Kim, Yinliang (Ricky) Tan, Geoffrey G. Parker
Despite the rapid growth of online food delivery (OFD) market, the impact of its three-sided nature—encompassing consumers, restaurants, and gig drivers—on incentives and payoffs remains unclear compared to the traditional two-sided model. This study examines how OFD platforms make optimal choices in a competitive environment involving pricing and service quality. The analysis reveals that insights from two-sided platforms don’t seamlessly translate to OFD markets. The triad nature of OFD can either dampen or heighten price competition in the buyer-seller market, altering subsidization dynamics for platforms. While conventional platforms suffer from negative network effects due to participation pressure, OFD platforms can adapt service strategies to mitigate this. However, introducing gig labor might not always benefit OFD platforms as it could trigger a prisoner’s dilemma situation by empowering competing platforms. The study underscores the dependence of platform strategies on network effects’ strength. As the gig economy rises, the employment status of gig workers garners controversy. The study demonstrates that implementing minimum wage regulations, while benefiting gig drivers, might diminish societal welfare. These findings offer guidance to policymakers aiming to balance gig workers’ interests with overall societal concerns.
{"title":"Dinner at Your Doorstep: Service Innovation via the Gig Economy on Food Delivery Platforms","authors":"Geng Sun, Yeongin Kim, Yinliang (Ricky) Tan, Geoffrey G. Parker","doi":"10.1287/isre.2022.0119","DOIUrl":"https://doi.org/10.1287/isre.2022.0119","url":null,"abstract":"Despite the rapid growth of online food delivery (OFD) market, the impact of its three-sided nature—encompassing consumers, restaurants, and gig drivers—on incentives and payoffs remains unclear compared to the traditional two-sided model. This study examines how OFD platforms make optimal choices in a competitive environment involving pricing and service quality. The analysis reveals that insights from two-sided platforms don’t seamlessly translate to OFD markets. The triad nature of OFD can either dampen or heighten price competition in the buyer-seller market, altering subsidization dynamics for platforms. While conventional platforms suffer from negative network effects due to participation pressure, OFD platforms can adapt service strategies to mitigate this. However, introducing gig labor might not always benefit OFD platforms as it could trigger a prisoner’s dilemma situation by empowering competing platforms. The study underscores the dependence of platform strategies on network effects’ strength. As the gig economy rises, the employment status of gig workers garners controversy. The study demonstrates that implementing minimum wage regulations, while benefiting gig drivers, might diminish societal welfare. These findings offer guidance to policymakers aiming to balance gig workers’ interests with overall societal concerns.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136013440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hemin Jiang, Mikko Siponen, Zhenhui (Jack) Jiang, Aggeliki Tsohou
Many organizations have implemented internet monitoring to curb employees’ non-work-related internet activities during work hours, commonly referred to as “cyberloafing.” For managers, two primary considerations emerge: (1) the actual effectiveness of internet monitoring in diminishing cyberloafing and (2) any unintended side effects this monitoring might have on overall employee behavior. From a longitudinal field quasi experiment, we observed that although internet monitoring notably reduced cyberloafing because of amplified employee concerns about potential sanctions and privacy breaches, it unintentionally suppressed their organizational citizenship behavior (OCB). Moreover, a follow-up observation four months after introducing internet monitoring revealed that its capability to mitigate cyberloafing had weakened, yet the dampening effect on OCB continued. We conclude this paper by underlining the value of using internet monitoring as a feedback mechanism on employees’ online behavior, rather than solely as a deterrence measure.
{"title":"The Impacts of Internet Monitoring on Employees’ Cyberloafing and Organizational Citizenship Behavior: A Longitudinal Field Quasi-Experiment","authors":"Hemin Jiang, Mikko Siponen, Zhenhui (Jack) Jiang, Aggeliki Tsohou","doi":"10.1287/isre.2020.0216","DOIUrl":"https://doi.org/10.1287/isre.2020.0216","url":null,"abstract":"Many organizations have implemented internet monitoring to curb employees’ non-work-related internet activities during work hours, commonly referred to as “cyberloafing.” For managers, two primary considerations emerge: (1) the actual effectiveness of internet monitoring in diminishing cyberloafing and (2) any unintended side effects this monitoring might have on overall employee behavior. From a longitudinal field quasi experiment, we observed that although internet monitoring notably reduced cyberloafing because of amplified employee concerns about potential sanctions and privacy breaches, it unintentionally suppressed their organizational citizenship behavior (OCB). Moreover, a follow-up observation four months after introducing internet monitoring revealed that its capability to mitigate cyberloafing had weakened, yet the dampening effect on OCB continued. We conclude this paper by underlining the value of using internet monitoring as a feedback mechanism on employees’ online behavior, rather than solely as a deterrence measure.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136208784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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：