Pub Date : 2024-06-01DOI: 10.25300/misq/2023/17621
Xiaoye Cheng, Hillol Bala, Mochen Yang
Firms must strategically manage their responses to user comments to keep users engaged on their social media business pages. The question of whether, how, and when a firm should respond to user comments to achieve favorable outcomes is of great interest to researchers and practitioners. We focus on these questions and study the effects of initial user comments and firm responses on subsequent user engagement on social media business pages. In particular, we theorize and examine how two features of initial user comments (i.e., sentiment and controversialness) and two features of firm responses (i.e., uniqueness and timeliness) jointly affect the volume and sentiment of subsequent user comments. By analyzing data from the Facebook business pages of multiple U.S. retailers (10,312 firm posts from 37 firms and over 1 million user comments), we found that firms are more likely to respond to negative comments (than positive or neutral comments) but less likely to respond to controversial comments (which evoke diverse opinions and emotions). Further, we found that engaging with negative and controversial comments and promptly responding to comments are linked to an increase in the volume of subsequent user comments but also to a more negative sentiment in these comments. We also found that providing unique responses improves the volume and sentiment of subsequent user comments. Our findings offer theoretical and practical insights into firms’ response management on social media.
{"title":"Engaging Users on Social Media Business Pages: The Roles of User Comments and Firm Responses","authors":"Xiaoye Cheng, Hillol Bala, Mochen Yang","doi":"10.25300/misq/2023/17621","DOIUrl":"https://doi.org/10.25300/misq/2023/17621","url":null,"abstract":"<style>#html-body [data-pb-style=CJMBCV4]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>Firms must strategically manage their responses to user comments to keep users engaged on their social media business pages. The question of whether, how, and when a firm should respond to user comments to achieve favorable outcomes is of great interest to researchers and practitioners. We focus on these questions and study the effects of initial user comments and firm responses on subsequent user engagement on social media business pages. In particular, we theorize and examine how two features of initial user comments (i.e., sentiment and controversialness) and two features of firm responses (i.e., uniqueness and timeliness) jointly affect the volume and sentiment of subsequent user comments. By analyzing data from the Facebook business pages of multiple U.S. retailers (10,312 firm posts from 37 firms and over 1 million user comments), we found that firms are more likely to respond to negative comments (than positive or neutral comments) but less likely to respond to controversial comments (which evoke diverse opinions and emotions). Further, we found that engaging with negative and controversial comments and promptly responding to comments are linked to an increase in the volume of subsequent user comments but also to a more negative sentiment in these comments. We also found that providing unique responses improves the volume and sentiment of subsequent user comments. Our findings offer theoretical and practical insights into firms’ response management on social media.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"49 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182350","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 : 2024-06-01DOI: 10.25300/misq/2023/17439
Laia Pujol Priego and Jonathan Wareham
Datafication is driving organizations to invest in data commons not only to share the costs of data generation, analysis, and curation; but more importantly, to realize synergies in precompetitive research collaborations where private and public motives interact (i.e., semicommons). The fanfare surrounding datafication often hails the sophisticated algorithms used to develop large quantities of data toward greater insight, naïvely assuming that more data equals better data. Yet, for datafication in general and precompetitive research specifically, less attention is awarded to what actually constitutes data and evidence in the first place—that is, to its genesis, construction, and interpretation by heterogeneous scientific and commercial entities. We present the case of Open Targets, a precompetitive collaboration in the life sciences, where publicly funded research, nonprofit foundations, and for-profit pharma collaborate to generate and share data in genomics, proteomics, and bioinformatics. We theorize about the process of data commoning, a political activity in the semicommons where data are created, evidential value is assembled, and scientific meaning converges as data travels, or journeys across creators, validators, and users. Our findings highlight the effects of relational dynamics and political nature of data journeys: why these dynamics form, how they are manifest in a precompetitive semicommons, and what implications this can have for the mobility of data as shared, public good.
{"title":"Data Commoning in the Life Sciences","authors":"Laia Pujol Priego and Jonathan Wareham","doi":"10.25300/misq/2023/17439","DOIUrl":"https://doi.org/10.25300/misq/2023/17439","url":null,"abstract":"<style>#html-body [data-pb-style=UUUJO1V]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>Datafication is driving organizations to invest in data commons not only to share the costs of data generation, analysis, and curation; but more importantly, to realize synergies in precompetitive research collaborations where private and public motives interact (i.e., semicommons). The fanfare surrounding datafication often hails the sophisticated algorithms used to develop large quantities of data toward greater insight, naïvely assuming that more data equals better data. Yet, for datafication in general and precompetitive research specifically, less attention is awarded to what actually constitutes data and evidence in the first place—that is, to its genesis, construction, and interpretation by heterogeneous scientific and commercial entities. We present the case of Open Targets, a precompetitive collaboration in the life sciences, where publicly funded research, nonprofit foundations, and for-profit pharma collaborate to generate and share data in genomics, proteomics, and bioinformatics. We theorize about the process of data commoning, a political activity in the semicommons where data are created, evidential value is assembled, and scientific meaning converges as data travels, or journeys across creators, validators, and users. Our findings highlight the effects of relational dynamics and political nature of data journeys: why these dynamics form, how they are manifest in a precompetitive semicommons, and what implications this can have for the mobility of data as shared, public good.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"37 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182358","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 : 2024-06-01DOI: 10.25300/misq/2023/16978
Katharina Pflügner, Christian Maier, Jason Bennett Thatcher, Jens Mattke, Tim Weitzel
Understanding how technostressors lead to technostrain, such as high job burnout or low job performance, has become a core question in information systems (IS) research and practice. To unpack this relationship, we build on general systems theory to argue that the next step for technostress research is to go beyond examining the independent influences of technostressors and discuss how their interdependencies lead to technostrain. To illustrate our argument empirically, we use fuzzy-set qualitative comparative analysis (fsQCA) and identify four configurations of high- and low-intensity technostressors that lead to high job burnout and one that leads to low job performance. We show that three types of interdependencies among technostressors, i.e., complementarity, contingency, and substitution, form configurations that lead to technostrain. Within these configurations, high-intensity technostressors can mutually enhance their effects and low-intensity technostressors can buffer the impact of other high-intensity technostressors on technostrain. The results help to explain why organizational interventions that address independent technostressors may fail if they do not account for the interdependencies among technostressors. Our work provides evidence of the need to further develop theories that explain how and why interdependencies among technostressors lead to technostrain.
{"title":"Deconstructing Technostress: A Configurational Approach to Explaining Job Burnout and Job Performance","authors":"Katharina Pflügner, Christian Maier, Jason Bennett Thatcher, Jens Mattke, Tim Weitzel","doi":"10.25300/misq/2023/16978","DOIUrl":"https://doi.org/10.25300/misq/2023/16978","url":null,"abstract":"<style>#html-body [data-pb-style=HEN0INO]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>Understanding how technostressors lead to technostrain, such as high job burnout or low job performance, has become a core question in information systems (IS) research and practice. To unpack this relationship, we build on general systems theory to argue that the next step for technostress research is to go beyond examining the independent influences of technostressors and discuss how their interdependencies lead to technostrain. To illustrate our argument empirically, we use fuzzy-set qualitative comparative analysis (fsQCA) and identify four configurations of high- and low-intensity technostressors that lead to high job burnout and one that leads to low job performance. We show that three types of interdependencies among technostressors, i.e., complementarity, contingency, and substitution, form configurations that lead to technostrain. Within these configurations, high-intensity technostressors can mutually enhance their effects and low-intensity technostressors can buffer the impact of other high-intensity technostressors on technostrain. The results help to explain why organizational interventions that address independent technostressors may fail if they do not account for the interdependencies among technostressors. Our work provides evidence of the need to further develop theories that explain how and why interdependencies among technostressors lead to technostrain.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"11 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182503","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 : 2024-06-01DOI: 10.25300/misq/2023/17818
Hanna Halaburda, Natalia Levina, Semi Min
We use transaction cost economics (TCE) to define the “digitization of transaction terms” shift parameter that describes the institutional changes associated with increased digitization in society. We then draw on legal scholarship to analyze how strong smart contracts, which refer to agreements with automatic execution and enforcement that are not reversible by courts, rely on a new level of digitization of transaction terms. Specifically, these contracts may rely on standard digital infrastructures such as blockchain systems that guarantee automatic execution and non-reversibility. Strong smart contracts represent a distinct mode of transaction governance compared to markets, hierarchies, or hybrids. This is because each classic governance mode is distinguished by how ex post adaptation is handled—through public courts, managerial fiat, or both. In contrast, strong smart contracts prevent ex post adaptation altogether. We propose that when strong smart contracts can be fully specified, they may dominate other governance modes based on certain trade-offs. These trade-offs include weighing the benefits of avoiding the holdup problem and lowering contract enforcement costs against the downsides of high ex ante specification costs and the elimination of flexibility to make ex post adjustments in a changing environment. Our discussion elaborates on which institutional conditions can further facilitate this institutional shift.
{"title":"Digitization of Transaction Terms within TCE: Strong Smart Contract as a New Mode of Transaction Governance","authors":"Hanna Halaburda, Natalia Levina, Semi Min","doi":"10.25300/misq/2023/17818","DOIUrl":"https://doi.org/10.25300/misq/2023/17818","url":null,"abstract":"<style>#html-body [data-pb-style=IF9941U]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>We use transaction cost economics (TCE) to define the “digitization of transaction terms” shift parameter that describes the institutional changes associated with increased digitization in society. We then draw on legal scholarship to analyze how strong smart contracts, which refer to agreements with automatic execution and enforcement that are not reversible by courts, rely on a new level of digitization of transaction terms. Specifically, these contracts may rely on standard digital infrastructures such as blockchain systems that guarantee automatic execution and non-reversibility. Strong smart contracts represent a distinct mode of transaction governance compared to markets, hierarchies, or hybrids. This is because each classic governance mode is distinguished by how ex post adaptation is handled—through public courts, managerial fiat, or both. In contrast, strong smart contracts prevent ex post adaptation altogether. We propose that when strong smart contracts can be fully specified, they may dominate other governance modes based on certain trade-offs. These trade-offs include weighing the benefits of avoiding the holdup problem and lowering contract enforcement costs against the downsides of high ex ante specification costs and the elimination of flexibility to make ex post adjustments in a changing environment. Our discussion elaborates on which institutional conditions can further facilitate this institutional shift.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"58 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182352","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 : 2024-06-01DOI: 10.25300/misq/2023/17433
Terence J. V. Saldanha, Mariana G. Andrade-Rojas, Abhishek Kathuria, Jiban Khuntia, M.S. Krishnan
Firms must allocate resources effectively to cope with uncertainty, which can manifest as a disruption and an opportunity. Although information technology (IT) is a means to cope with uncertainty, chief executive officers (CEOs) may not always support IT investments due to the risky nature of IT, especially when facing uncertain conditions. While prior research suggests that CEO long-term compensation positively incentivizes IT investments, little is known about how different loci of uncertainty impact this relationship. To address this research gap, we study how firm-specific uncertainty and competitive uncertainty shape the influence of CEO long-term compensation on a firm’s IT capital investment. Drawing on agency theory and prospect theory, we develop two hypotheses. First, we hypothesize that firm-specific uncertainty and competitive uncertainty positively moderate the influence of CEO long-term compensation on firm IT capital investment. Second, we hypothesize that competitive uncertainty has a stronger positive moderating effect than firm-specific uncertainty on the influence of CEO long-term compensation on firm IT capital investment. Our analysis of secondary longitudinal data from 2000 to 2007 of 357 public firms in the United States supports our hypotheses. In exploratory analyses, we found that CEO long-term compensation results in a higher risk-oriented dominant logic in the firm, particularly in conditions of firm-specific uncertainty and competitive uncertainty, with competitive uncertainty having a stronger positive moderating effect. These findings uncover risk-oriented dominant logic as a theoretical mechanism that explains how CEO long-term compensation positively influences firm IT capital investment in uncertain conditions. We also conducted exploratory analyses using a different secondary dataset of 286 U.S. public firms from 2004 to 2019 to consider firm investments in transformative IT applications and found support for our theory. This finding triangulates our results across different time periods and different types of IT investments. This study contributes to theory and practice by providing a nuanced understanding of boundary conditions surrounding CEO long-term compensation, and decisions CEOs make vis-à-vis IT capital investments.
#html-body [data-pb-style=ASC28Q8]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll} 企业必须有效地分配资源，以应对不确定性，不确定性可能表现为干扰，也可能表现为机遇。虽然信息技术（IT）是应对不确定性的一种手段，但首席执行官（CEO）可能并不总是支持信息技术投资，因为信息技术具有风险性，尤其是在面临不确定的条件时。此前的研究表明，首席执行官的长期薪酬对信息技术投资具有积极的激励作用，但人们对不同的不确定性如何影响这种关系知之甚少。为了弥补这一研究空白，我们研究了企业特有的不确定性和竞争不确定性如何影响首席执行官长期薪酬对企业 IT 资本投资的影响。借鉴代理理论和前景理论，我们提出了两个假设。首先，我们假设公司特有的不确定性和竞争的不确定性会积极调节首席执行官长期薪酬对公司 IT 资本投资的影响。其次，我们假设竞争不确定性比公司特定不确定性对首席执行官长期薪酬对公司 IT 资本投资的影响具有更强的正向调节作用。我们对美国 357 家上市公司 2000 年至 2007 年的二级纵向数据进行了分析，结果支持了我们的假设。在探索性分析中，我们发现首席执行官长期薪酬会导致企业中更高的风险导向主导逻辑，尤其是在企业特定不确定性和竞争不确定性条件下，竞争不确定性具有更强的正向调节作用。这些发现揭示了以风险为导向的主导逻辑，它是解释首席执行官长期薪酬如何在不确定条件下积极影响企业 IT 资本投资的理论机制。我们还利用 2004 年至 2019 年期间 286 家美国上市公司的不同二级数据集进行了探索性分析，以考虑公司在变革性 IT 应用方面的投资，结果发现我们的理论得到了支持。这一发现在不同时期和不同类型的信息技术投资中对我们的结果进行了三角测量。本研究对 CEO 长期薪酬的边界条件以及 CEO 针对 IT 资本投资所做的决策提供了细致入微的理解，从而为理论和实践做出了贡献。
{"title":"How the Locus of Uncertainty Shapes the Influence of CEO Long-term Compensation on Information Technology Capital Investments","authors":"Terence J. V. Saldanha, Mariana G. Andrade-Rojas, Abhishek Kathuria, Jiban Khuntia, M.S. Krishnan","doi":"10.25300/misq/2023/17433","DOIUrl":"https://doi.org/10.25300/misq/2023/17433","url":null,"abstract":"<style>#html-body [data-pb-style=ASC28Q8]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>Firms must allocate resources effectively to cope with uncertainty, which can manifest as a disruption and an opportunity. Although information technology (IT) is a means to cope with uncertainty, chief executive officers (CEOs) may not always support IT investments due to the risky nature of IT, especially when facing uncertain conditions. While prior research suggests that CEO long-term compensation positively incentivizes IT investments, little is known about how different loci of uncertainty impact this relationship. To address this research gap, we study how firm-specific uncertainty and competitive uncertainty shape the influence of CEO long-term compensation on a firm’s IT capital investment. Drawing on agency theory and prospect theory, we develop two hypotheses. First, we hypothesize that firm-specific uncertainty and competitive uncertainty positively moderate the influence of CEO long-term compensation on firm IT capital investment. Second, we hypothesize that competitive uncertainty has a stronger positive moderating effect than firm-specific uncertainty on the influence of CEO long-term compensation on firm IT capital investment. Our analysis of secondary longitudinal data from 2000 to 2007 of 357 public firms in the United States supports our hypotheses. In exploratory analyses, we found that CEO long-term compensation results in a higher risk-oriented dominant logic in the firm, particularly in conditions of firm-specific uncertainty and competitive uncertainty, with competitive uncertainty having a stronger positive moderating effect. These findings uncover risk-oriented dominant logic as a theoretical mechanism that explains how CEO long-term compensation positively influences firm IT capital investment in uncertain conditions. We also conducted exploratory analyses using a different secondary dataset of 286 U.S. public firms from 2004 to 2019 to consider firm investments in transformative IT applications and found support for our theory. This finding triangulates our results across different time periods and different types of IT investments. This study contributes to theory and practice by providing a nuanced understanding of boundary conditions surrounding CEO long-term compensation, and decisions CEOs make vis-à-vis IT capital investments.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"37 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182506","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 : 2024-06-01DOI: 10.25300/misq/2023/17420
Sinan Aral, Erik Brynjolfsson, Chris Gu, Hongchang Wang, D. J. Wu
How do firms benefit from integrated enterprise systems (IES), and how does the IES implementation strategy influence the returns from IES? We investigated the implementation strategy that firms should follow to integrate multiple enterprise systems regarding the timing of adoption and the richness of modules. Borrowing theories from software development literature and enterprise system implementation literature, we developed two IES implementation strategies, i.e., the agile strategy (simple, quick, and flexible) and the phased strategy (rich, phased, and pre-determined). We collected a sample of 675 public firms from 1997 to 2004 at the module level, enabling us to distinguish enterprise resource planning (ERP) systems from customer relationship management (CRM) and supply chain management (SCM) systems. Our data contained the timing of purchase and “go-live” events of these system modules, helping us understand firms’ detailed implementation decisions. We found that IES returns depend on the choices of ERP and CRM/SCM module foundation, ERP-CRM/SCM sequential connection, and the continued adoption of ERP and CRM/SCM modules. Fewer ERP or CRM/SCM modules at CRM/SCM go-live events, a quicker connection between ERP and CRM/SCM go-live events, and the continued adoption of ERP or CRM/SCM modules all were found to enhance IES returns. Our findings show that the agile strategy leads to more returns from IES than the phased strategy and suggest that firms should integrate multiple enterprise systems by going live with advanced system modules quickly after going live with basic enterprise system modules and by continually adding new modules.
{"title":"Understanding the Returns from Integrated Enterprise Systems: The Impacts of Agile and Phased Implementation Strategies","authors":"Sinan Aral, Erik Brynjolfsson, Chris Gu, Hongchang Wang, D. J. Wu","doi":"10.25300/misq/2023/17420","DOIUrl":"https://doi.org/10.25300/misq/2023/17420","url":null,"abstract":"<style>#html-body [data-pb-style=RF0LDI6]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>How do firms benefit from integrated enterprise systems (IES), and how does the IES implementation strategy influence the returns from IES? We investigated the implementation strategy that firms should follow to integrate multiple enterprise systems regarding the timing of adoption and the richness of modules. Borrowing theories from software development literature and enterprise system implementation literature, we developed two IES implementation strategies, i.e., the agile strategy (simple, quick, and flexible) and the phased strategy (rich, phased, and pre-determined). We collected a sample of 675 public firms from 1997 to 2004 at the module level, enabling us to distinguish enterprise resource planning (ERP) systems from customer relationship management (CRM) and supply chain management (SCM) systems. Our data contained the timing of purchase and “go-live” events of these system modules, helping us understand firms’ detailed implementation decisions. We found that IES returns depend on the choices of ERP and CRM/SCM module foundation, ERP-CRM/SCM sequential connection, and the continued adoption of ERP and CRM/SCM modules. Fewer ERP or CRM/SCM modules at CRM/SCM go-live events, a quicker connection between ERP and CRM/SCM go-live events, and the continued adoption of ERP or CRM/SCM modules all were found to enhance IES returns. Our findings show that the agile strategy leads to more returns from IES than the phased strategy and suggest that firms should integrate multiple enterprise systems by going live with advanced system modules quickly after going live with basic enterprise system modules and by continually adding new modules.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"37 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182441","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 : 2024-06-01DOI: 10.25300/misq/2023/16700
Tuure Tuunanen, Robert Winter, Jan vom Brocke
Design science research (DSR) aims to generate knowledge about innovative solutions to real-world problems. Consequently, DSR needs to deal with the complexity related to problem and solution spaces involving sociotechnical phenomena that people perceive differently and are subject to constant change. This complexity poses challenges to sequential, process-based approaches—specifically, the existing DSR methodology. We designed a DSR methodology that extends existing approaches by adding a complementary organizing logic to address complexity. Based on the theory of hierarchical, multilevel systems, we suggest organizing DSR based on the concept of “echelons”—meaning decomposing DSR projects into smaller logically coherent self-contained parts—and suggest a set of five design echelons that imply a hierarchical organizing logic for DSR projects. The echeloned DSR (eDSR) methodology was developed in five iterations, involving seven design and evaluation episodes.
{"title":"Dealing with Complexity in Design Science Research: A Methodology Using Design Echelons","authors":"Tuure Tuunanen, Robert Winter, Jan vom Brocke","doi":"10.25300/misq/2023/16700","DOIUrl":"https://doi.org/10.25300/misq/2023/16700","url":null,"abstract":"<style>#html-body [data-pb-style=WIG2AQO]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>Design science research (DSR) aims to generate knowledge about innovative solutions to real-world problems. Consequently, DSR needs to deal with the complexity related to problem and solution spaces involving sociotechnical phenomena that people perceive differently and are subject to constant change. This complexity poses challenges to sequential, process-based approaches—specifically, the existing DSR methodology. We designed a DSR methodology that extends existing approaches by adding a complementary organizing logic to address complexity. Based on the theory of hierarchical, multilevel systems, we suggest organizing DSR based on the concept of “echelons”—meaning decomposing DSR projects into smaller logically coherent self-contained parts—and suggest a set of five design echelons that imply a hierarchical organizing logic for DSR projects. The echeloned DSR (eDSR) methodology was developed in five iterations, involving seven design and evaluation episodes.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"40 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182355","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 : 2024-06-01DOI: 10.25300/misq/2023/17928
Seyoung Seol, Jorge Mejia, Alan R. Dennis
Is there an economic incentive for celebrities and well-known media firms to commingle falsehoods into news stories? We conducted five experiments, plus a field validation using secondary data. When presented by celebrities and well-known media firms, a commingled partisan falsehood in an otherwise true news story significantly increased viewing and sharing intentions among politically aligned viewers. The effect was weaker but significant when we replaced the celebrity with an unknown speaker and disappeared when both the celebrity and the well-known firm were replaced by unknowns. This effect was explained by confirmation bias and the viewer’s belief that the falsehood was true. In contrast, a false news story focusing on the same falsehood increased viewing and sharing intentions only when presented by unknowns, with viewers’ belief playing a limited role. The field study found a significantly positive relationship between a commingled partisan falsehood in videos of well-known media firms and actual viewership. We conclude that commingled partisan falsehoods provide a significant viewership increase for celebrities and well-known media firms, creating an economic incentive for lying and posing complex challenges in the fake news era. We discuss the challenges and opportunities in this area for policymakers and media firms.
{"title":"Lying for Viewers: Commingled Partisan Falsehoods Increase Viewing and Sharing of News Media","authors":"Seyoung Seol, Jorge Mejia, Alan R. Dennis","doi":"10.25300/misq/2023/17928","DOIUrl":"https://doi.org/10.25300/misq/2023/17928","url":null,"abstract":"<style>#html-body [data-pb-style=ERVUAYG]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>Is there an economic incentive for celebrities and well-known media firms to commingle falsehoods into news stories? We conducted five experiments, plus a field validation using secondary data. When presented by celebrities and well-known media firms, a commingled partisan falsehood in an otherwise true news story significantly increased viewing and sharing intentions among politically aligned viewers. The effect was weaker but significant when we replaced the celebrity with an unknown speaker and disappeared when both the celebrity and the well-known firm were replaced by unknowns. This effect was explained by confirmation bias and the viewer’s belief that the falsehood was true. In contrast, a false news story focusing on the same falsehood increased viewing and sharing intentions only when presented by unknowns, with viewers’ belief playing a limited role. The field study found a significantly positive relationship between a commingled partisan falsehood in videos of well-known media firms and actual viewership. We conclude that commingled partisan falsehoods provide a significant viewership increase for celebrities and well-known media firms, creating an economic incentive for lying and posing complex challenges in the fake news era. We discuss the challenges and opportunities in this area for policymakers and media firms.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"70 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182504","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 : 2024-06-01DOI: 10.25300/misq/2023/16452
Zhe Wang, Hong Guo, Dengpan Liu
Analytics services provided by marketplace platforms have become increasingly important for sellers seeking market insights. In this paper, we examine a scenario in which an analytics service plays a vital role in enhancing sellers’ understanding of market size and improving their decision-making. Using a game-theoretic model, we analyze the pricing strategies of the platform and the adoption strategies of sellers for the analytics service. Our study identifies two distinct effects of analytics services: the competition effect and the accuracy effect. Specifically, the competition effect manifests in opposing ways across different market scenarios, with a competition-intensifying effect in low-demand markets and a competition-weakening effect in high-demand markets. Consequently, sellers using an analytics service command lower prices in low-demand markets and higher prices in high-demand markets. More interestingly, our results reveal that offering an analytics service could potentially hurt the total market demand, subsequently impacting the platform’s revenue from the marketplace service and potentially leaving the platform worse off. Additionally, driven by both the accuracy and competition effects, adopting an analytics service may adversely affect seller profitability and consumer surplus without necessarily improving overall welfare. Moreover, the transaction fee for the marketplace service plays a crucial role in the interplay between the analytics and marketplace services. Specifically, in low-demand (high-demand) markets, as the transaction fee increases, platforms should consider reducing (increasing) the subscription fee to encourage more (fewer) sellers to adopt the analytics service, thereby enhancing overall market demand and increasing revenue from the marketplace service. Our findings also suggest that platforms should refrain from offering analytics services in high-demand markets when the transaction fee is relatively high. Furthermore, policymakers (sellers) should be mindful of the potential negative consequences associated with the adoption of analytics services in high-demand (low-demand) markets.
{"title":"Economics of Analytics Services on a Marketplace Platform","authors":"Zhe Wang, Hong Guo, Dengpan Liu","doi":"10.25300/misq/2023/16452","DOIUrl":"https://doi.org/10.25300/misq/2023/16452","url":null,"abstract":"<style>#html-body [data-pb-style=T85P88U]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>Analytics services provided by marketplace platforms have become increasingly important for sellers seeking market insights. In this paper, we examine a scenario in which an analytics service plays a vital role in enhancing sellers’ understanding of market size and improving their decision-making. Using a game-theoretic model, we analyze the pricing strategies of the platform and the adoption strategies of sellers for the analytics service. Our study identifies two distinct effects of analytics services: the competition effect and the accuracy effect. Specifically, the competition effect manifests in opposing ways across different market scenarios, with a competition-intensifying effect in low-demand markets and a competition-weakening effect in high-demand markets. Consequently, sellers using an analytics service command lower prices in low-demand markets and higher prices in high-demand markets. More interestingly, our results reveal that offering an analytics service could potentially hurt the total market demand, subsequently impacting the platform’s revenue from the marketplace service and potentially leaving the platform worse off. Additionally, driven by both the accuracy and competition effects, adopting an analytics service may adversely affect seller profitability and consumer surplus without necessarily improving overall welfare. Moreover, the transaction fee for the marketplace service plays a crucial role in the interplay between the analytics and marketplace services. Specifically, in low-demand (high-demand) markets, as the transaction fee increases, platforms should consider reducing (increasing) the subscription fee to encourage more (fewer) sellers to adopt the analytics service, thereby enhancing overall market demand and increasing revenue from the marketplace service. Our findings also suggest that platforms should refrain from offering analytics services in high-demand markets when the transaction fee is relatively high. Furthermore, policymakers (sellers) should be mindful of the potential negative consequences associated with the adoption of analytics services in high-demand (low-demand) markets.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"2018 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182459","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 : 2024-06-01DOI: 10.25300/misq/2023/17763
Jaeung Sim, Kyungmin Choi, Sang Pil Han, Daegon Cho
Online video platforms such as YouTube feature visual cues on progress bars to spotlight standout segments of videos. These cues, designed to steer users toward intriguing content moments, raise questions about their overarching impact on video consumption patterns. In this study, we delve into in-consumption information cues (ICICs), indicators that depict fluctuating video quality in real time. Drawing from a natural experiment on a live streaming platform, we evaluate the effects of engagement graphs. These are visual timelines that emphasize moments favored by prior viewers in video-on-demand (VOD) content, which represent full replays of live stream sessions. Notably, these graphs are only accessible to iOS users, leaving Android users without access. Our results show that ICICs enhance the viewership of VODs and live streams. Moreover, viewers tend to spend more time immersed in live broadcasts, suggesting heightened content appeal. Yet, these engagement graphs do not prompt users to donate more virtual gifts, a vital income stream for streamers. Even with the introduction of ICICs, while there is a rise in video production, the inherent structure of live streams remained largely unchanged. We conclude by discussing the academic and managerial implications of these findings.
#html-body [data-pb-style=QTOOY8P]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}Online video platforms such as YouTube feature features visual cues on progress bars to spotlight standout segments of videos.这些提示旨在将用户引向引人入胜的内容时刻，但它们对视频消费模式的总体影响却引发了疑问。在本研究中，我们深入研究了消费内信息提示（ICIC），即实时描述视频质量波动的指标。通过在直播平台上进行自然实验，我们评估了参与图的效果。这些可视化时间线强调了视频点播（VOD）内容中受先前观众青睐的时刻，代表了直播流会话的完整回放。值得注意的是，这些图表只有 iOS 用户才能访问，安卓用户无法访问。我们的研究结果表明，ICIC 提高了 VOD 和直播流的观看率。此外，观众往往会花更多时间沉浸在直播中，这表明内容的吸引力有所提高。然而，这些参与图并没有促使用户捐赠更多的虚拟礼物，而这正是流媒体的重要收入来源。即使引入了 ICIC，虽然视频制作量有所增加，但直播流的固有结构基本保持不变。最后，我们将讨论这些发现的学术和管理意义。
{"title":"In-Consumption Information Cues and Online Video Consumption","authors":"Jaeung Sim, Kyungmin Choi, Sang Pil Han, Daegon Cho","doi":"10.25300/misq/2023/17763","DOIUrl":"https://doi.org/10.25300/misq/2023/17763","url":null,"abstract":"<style>#html-body [data-pb-style=QTOOY8P]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>Online video platforms such as YouTube feature visual cues on progress bars to spotlight standout segments of videos. These cues, designed to steer users toward intriguing content moments, raise questions about their overarching impact on video consumption patterns. In this study, we delve into in-consumption information cues (ICICs), indicators that depict fluctuating video quality in real time. Drawing from a natural experiment on a live streaming platform, we evaluate the effects of engagement graphs. These are visual timelines that emphasize moments favored by prior viewers in video-on-demand (VOD) content, which represent full replays of live stream sessions. Notably, these graphs are only accessible to iOS users, leaving Android users without access. Our results show that ICICs enhance the viewership of VODs and live streams. Moreover, viewers tend to spend more time immersed in live broadcasts, suggesting heightened content appeal. Yet, these engagement graphs do not prompt users to donate more virtual gifts, a vital income stream for streamers. Even with the introduction of ICICs, while there is a rise in video production, the inherent structure of live streams remained largely unchanged. We conclude by discussing the academic and managerial implications of these findings.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"37 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182476","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}
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