Pub Date : 2020-12-01DOI: 10.25300/MISQ/2020/14435/
Lina Bouayad, B. Padmanabhan, K. Chari
This paper presents and synthesizes results from three studies (two controlled experiments and one interview) on using recommender systems to reduce healthcare costs at prescription time, while taking time pressure into account. All of our subjects were real practicing physicians, nurse practitioners, or physician assistants. Across these studies, a total of 160 medical practitioners used a system that provides recommendations for medications along with associated cost information. The main finding was a general tendency among practitioners to reduce healthcare costs by prescribing lower cost medications when cost information is provided by a recommender system. The time pressure faced daily by prescribers, however, appears to impact the use of recommendations by nurse practitioners and physician assistants more than it does physicians. These results have significant implications for cost reduction in healthcare and for the design of effective real-time healthcare recommender systems.
{"title":"Can Recommender Systems Reduce Healthcare Costs? The Role of Time Pressure and Cost Transparency in Prescription Choice","authors":"Lina Bouayad, B. Padmanabhan, K. Chari","doi":"10.25300/MISQ/2020/14435/","DOIUrl":"https://doi.org/10.25300/MISQ/2020/14435/","url":null,"abstract":"This paper presents and synthesizes results from three studies (two controlled experiments and one interview) on using recommender systems to reduce healthcare costs at prescription time, while taking time pressure into account. All of our subjects were real practicing physicians, nurse practitioners, or physician assistants. Across these studies, a total of 160 medical practitioners used a system that provides recommendations for medications along with associated cost information. The main finding was a general tendency among practitioners to reduce healthcare costs by prescribing lower cost medications when cost information is provided by a recommender system. The time pressure faced daily by prescribers, however, appears to impact the use of recommendations by nurse practitioners and physician assistants more than it does physicians. These results have significant implications for cost reduction in healthcare and for the design of effective real-time healthcare recommender systems.","PeriodicalId":18743,"journal":{"name":"MIS Q.","volume":"88 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73205338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.25300/MISQ/2020/11872
Barney Tan, S. Pan, Wenbo Chen, Lihua Huang
Organizational sensemaking is crucial to enterprise resource planning (ERP) implementation. This is because it enables the focal organization to gain an understanding of the unique contextual issues within and surrounding the organization, and continuously monitor and reinterpret these issues so that the approach to ERP implementation can be modified or realigned accordingly. Yet, little attention has been paid to studying the nature and implications of this process. Using a case study of the ERP implementation journey of Shanghai Tobacco Corporation, a Chinese state-owned enterprise, this paper explores the different ways in which organizational sensemaking can unfold in the context of ERP implementation. Analyses of our data suggest that the process of organizational sensemaking is influenced by a sensemaking structure, which consists of a technical structure (i.e., the technical foundation for sensemaking) and a social structure (i.e., the behavioral norms and relational ties surrounding sensemaking). The sensemaking structure, in turn, is influenced by the contextual conditions surrounding ERP implementation. With its findings, this study contributes a process model of ERP implementation from a sensemaking perspective to complement the existing research, and provides indications to practice on the effective implementation of ERP systems.
{"title":"Organizational Sensemaking in ERP Implementation: The Influence of Sensemaking Structure","authors":"Barney Tan, S. Pan, Wenbo Chen, Lihua Huang","doi":"10.25300/MISQ/2020/11872","DOIUrl":"https://doi.org/10.25300/MISQ/2020/11872","url":null,"abstract":"Organizational sensemaking is crucial to enterprise resource planning (ERP) implementation. This is because it enables the focal organization to gain an understanding of the unique contextual issues within and surrounding the organization, and continuously monitor and reinterpret these issues so that the approach to ERP implementation can be modified or realigned accordingly. Yet, little attention has been paid to studying the nature and implications of this process. Using a case study of the ERP implementation journey of Shanghai Tobacco Corporation, a Chinese state-owned enterprise, this paper explores the different ways in which organizational sensemaking can unfold in the context of ERP implementation. Analyses of our data suggest that the process of organizational sensemaking is influenced by a sensemaking structure, which consists of a technical structure (i.e., the technical foundation for sensemaking) and a social structure (i.e., the behavioral norms and relational ties surrounding sensemaking). The sensemaking structure, in turn, is influenced by the contextual conditions surrounding ERP implementation. With its findings, this study contributes a process model of ERP implementation from a sensemaking perspective to complement the existing research, and provides indications to practice on the effective implementation of ERP systems.","PeriodicalId":18743,"journal":{"name":"MIS Q.","volume":"101 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80759004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.25300/MISQ/2020/13216
X. Xiao, Saonee Sarker, Ryan T. Wright, Suprateek Sarker, B. J. Mariadoss
As the highest level of cloud computing delivery model, Software-as-a-Service (SaaS) has gained considerable popularity in the industry as a new way of deploying IT solutions, due to its low cost and high elasticity. However, the new business model associated with SaaS highlights the importance for SaaS vendors to understand how to retain customers in a hyper-competitive market. In particular, increasing customer retention and preventing customers from replacing the adopted SaaS applications has become a crucial task for all SaaS vendors. In this study, using a mixed-methods approach, and drawing on the cognitive–affective–conative– action (CACA) framework, we investigate the IS replacement phenomenon in the context of SaaS-delivered applications. Our qualitative study allows us to develop an IS-centric view of customer commitment by differentiating between organizations’ commitment to the SaaS application and to the cloud computing technology in general, while the subsequent quantitative study validates the difference between the two types of commitment and helps understand how they together influence organizations’ intentions to replace a SaaS application. Our results generate important theoretical implications for research on IS replacement and clarifies the concept of customer commitment. We also offer practical guidelines to SaaS vendors on how to retain customers so as to survive/thrive in this competitive market.
{"title":"Commitment and Replacement of Existing SaaS-Delivered Applications: A Mixed-Methods Investigation","authors":"X. Xiao, Saonee Sarker, Ryan T. Wright, Suprateek Sarker, B. J. Mariadoss","doi":"10.25300/MISQ/2020/13216","DOIUrl":"https://doi.org/10.25300/MISQ/2020/13216","url":null,"abstract":"As the highest level of cloud computing delivery model, Software-as-a-Service (SaaS) has gained considerable popularity in the industry as a new way of deploying IT solutions, due to its low cost and high elasticity. However, the new business model associated with SaaS highlights the importance for SaaS vendors to understand how to retain customers in a hyper-competitive market. In particular, increasing customer retention and preventing customers from replacing the adopted SaaS applications has become a crucial task for all SaaS vendors. In this study, using a mixed-methods approach, and drawing on the cognitive–affective–conative– action (CACA) framework, we investigate the IS replacement phenomenon in the context of SaaS-delivered applications. Our qualitative study allows us to develop an IS-centric view of customer commitment by differentiating between organizations’ commitment to the SaaS application and to the cloud computing technology in general, while the subsequent quantitative study validates the difference between the two types of commitment and helps understand how they together influence organizations’ intentions to replace a SaaS application. Our results generate important theoretical implications for research on IS replacement and clarifies the concept of customer commitment. We also offer practical guidelines to SaaS vendors on how to retain customers so as to survive/thrive in this competitive market.","PeriodicalId":18743,"journal":{"name":"MIS Q.","volume":"125 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89662035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.25300/MISQ/2020/11672
Tracy Ann Sykes
Understanding how support structures influence job outcomes in the context of enterprise system (ES) implementations is important if we are to advance the rate of success of such implementations. This paper examines how support structures—conceptualized as formal support structures (FSS) and informal support structures (ISS)—affect job outcomes in the shakedown phase of an ES implementation by drawing on the job strain model. Prior research on the job strain model suggests job characteristics (i.e., job control and job demand) and social support together affect job outcomes. A model of these effects on three post-implementation job outcomes (i.e., job stress, job satisfaction, and job performance) is developed. Data were obtained from 152 employees in a longitudinal field study at a large multinational firm. Results show that FSS do not have a direct influence on job outcomes, but interact with job demand to influence all three job outcomes. ISS have direct and interaction effects on all three employee job outcomes. The effect of FSS and ISS on employee job outcomes is mediated by job demand and job characteristics partially mediate the effect of ISS and FSS on employee job outcomes.
{"title":"Enterprise System Implementation and Employee Job Outcomes: Understanding the Role of Formal and Informal Support Structures Using the Job Strain Model","authors":"Tracy Ann Sykes","doi":"10.25300/MISQ/2020/11672","DOIUrl":"https://doi.org/10.25300/MISQ/2020/11672","url":null,"abstract":"Understanding how support structures influence job outcomes in the context of enterprise system (ES) implementations is important if we are to advance the rate of success of such implementations. This paper examines how support structures—conceptualized as formal support structures (FSS) and informal support structures (ISS)—affect job outcomes in the shakedown phase of an ES implementation by drawing on the job strain model. Prior research on the job strain model suggests job characteristics (i.e., job control and job demand) and social support together affect job outcomes. A model of these effects on three post-implementation job outcomes (i.e., job stress, job satisfaction, and job performance) is developed. Data were obtained from 152 employees in a longitudinal field study at a large multinational firm. Results show that FSS do not have a direct influence on job outcomes, but interact with job demand to influence all three job outcomes. ISS have direct and interaction effects on all three employee job outcomes. The effect of FSS and ISS on employee job outcomes is mediated by job demand and job characteristics partially mediate the effect of ISS and FSS on employee job outcomes.","PeriodicalId":18743,"journal":{"name":"MIS Q.","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78895216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.25300/MISQ/2020/15323
Jingjing Li, Kai R. T. Larsen, A. Abbasi
The scholarly information-seeking process for behavioral research consists of three phases: searching, accessing, and processing of past research. Existing IT artifacts, such as Google Scholar, have in part addressed the searching and accessing phases, but fall short of facilitating the processing phase, creating a knowledge inaccessibility problem. We propose a behavioral ontology learning from text (BOLT) design framework that presents concrete prescriptions for developing systems capable of supporting researchers during their processing of behavioral knowledge. Based upon BOLT, we developed a search engine— TheoryOn—to allow researchers to directly search for constructs, construct relationships, antecedents, and consequents, and to easily integrate related theories. Our design framework and search engine were rigorously evaluated through a series of data mining experiments, a randomized user experiment, and an applicability check. The data mining experiment results lent credence to the design principles prescribed by BOLT. The randomized experiment compared TheoryOn with EBSCOhost and Google Scholar across four information retrieval tasks, illustrating TheoryOn’s ability to reduce false positives and false negatives during the information-seeking process. Furthermore, an in-depth applicability check with IS scholars offered qualitative support for the efficacy of an ontology-based search and the usefulness of TheoryOn during the processing phase of existing research. The evaluation results collectively underscore the significance of our proposed design artifacts for addressing the knowledge inaccessibility problem for behavioral research literature.
{"title":"TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge Through Ontology Learning","authors":"Jingjing Li, Kai R. T. Larsen, A. Abbasi","doi":"10.25300/MISQ/2020/15323","DOIUrl":"https://doi.org/10.25300/MISQ/2020/15323","url":null,"abstract":"The scholarly information-seeking process for behavioral research consists of three phases: searching, accessing, and processing of past research. Existing IT artifacts, such as Google Scholar, have in part addressed the searching and accessing phases, but fall short of facilitating the processing phase, creating a knowledge inaccessibility problem. We propose a behavioral ontology learning from text (BOLT) design framework that presents concrete prescriptions for developing systems capable of supporting researchers during their processing of behavioral knowledge. Based upon BOLT, we developed a search engine— TheoryOn—to allow researchers to directly search for constructs, construct relationships, antecedents, and consequents, and to easily integrate related theories. Our design framework and search engine were rigorously evaluated through a series of data mining experiments, a randomized user experiment, and an applicability check. The data mining experiment results lent credence to the design principles prescribed by BOLT. The randomized experiment compared TheoryOn with EBSCOhost and Google Scholar across four information retrieval tasks, illustrating TheoryOn’s ability to reduce false positives and false negatives during the information-seeking process. Furthermore, an in-depth applicability check with IS scholars offered qualitative support for the efficacy of an ontology-based search and the usefulness of TheoryOn during the processing phase of existing research. The evaluation results collectively underscore the significance of our proposed design artifacts for addressing the knowledge inaccessibility problem for behavioral research literature.","PeriodicalId":18743,"journal":{"name":"MIS Q.","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79446621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.25300/MISQ/2020/13879
Youngki Park, Peer C. Fiss, O. E. Sawy
Faced with the challenge of multifaceted digital phenomena, researchers in IS and related fields have increasingly adopted qualitative comparative analysis (QCA). However, in the absence of explicit guidelines for how to use QCA for theory development, the popularity and proliferation of QCA possibly amplifies the risk of using QCA in an atheoretical manner, hindering theoretical advancement. In this paper, we offer a conceptual framework and prescriptive guidelines for applying QCA to develop causal recipes that account for complex digital phenomena marked by theoretical and configurational multiplicity. Causal recipes are formal statements explaining how causally relevant elements combine into configurations associated with outcomes of interest. We describe these causal recipes in terms of which causes matter (i.e., factorial logic) and how these causes combine into configurations (i.e., combinatorial logic) to produce target outcomes, and propose an ecology of configurations that elucidates the explanatory power of multiple configurations as well as their explanatory overlap. Further, we offer two illustrative empirical examples to demonstrate the usefulness of our framework and step-by-step guidelines for applying QCA to deductive theory testing as well as inductive theory development on phenomena marked by multiplicity.
{"title":"Theorizing the Multiplicity of Digital Phenomena: The Ecology of Configurations, Causal Recipes, and Guidelines for Applying QCA","authors":"Youngki Park, Peer C. Fiss, O. E. Sawy","doi":"10.25300/MISQ/2020/13879","DOIUrl":"https://doi.org/10.25300/MISQ/2020/13879","url":null,"abstract":"Faced with the challenge of multifaceted digital phenomena, researchers in IS and related fields have increasingly adopted qualitative comparative analysis (QCA). However, in the absence of explicit guidelines for how to use QCA for theory development, the popularity and proliferation of QCA possibly amplifies the risk of using QCA in an atheoretical manner, hindering theoretical advancement. In this paper, we offer a conceptual framework and prescriptive guidelines for applying QCA to develop causal recipes that account for complex digital phenomena marked by theoretical and configurational multiplicity. Causal recipes are formal statements explaining how causally relevant elements combine into configurations associated with outcomes of interest. We describe these causal recipes in terms of which causes matter (i.e., factorial logic) and how these causes combine into configurations (i.e., combinatorial logic) to produce target outcomes, and propose an ecology of configurations that elucidates the explanatory power of multiple configurations as well as their explanatory overlap. Further, we offer two illustrative empirical examples to demonstrate the usefulness of our framework and step-by-step guidelines for applying QCA to deductive theory testing as well as inductive theory development on phenomena marked by multiplicity.","PeriodicalId":18743,"journal":{"name":"MIS Q.","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87995889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Members of an online community peer-produce digital artifacts by negotiating different perspectives and personal knowledge bases. These negotiations are manifested in the temporal evolution of the peer-produced artifact. In this study, we conceptualize the evolution of a digital artifact as a trajectory in a feature space. Our theoretical frame suggests that, through negotiations, contributors’ actions “pull” the trajectory and shape its movement in the feature space. We hypothesize that the type of contributors that work on a focal article influences the extent to which that article’s trajectory explores alternative positions within that space, and that the trajectory’s exploration is, in turn, associated with the artifact’s quality. To test these hypotheses, we analyzed the trajectories of wiki articles drawn from two peer-production communities, Wikipedia and Wikia, tracking the evolution of 242 paired articles for over a decade during which the articles went through 536,745 revisions. We found that the contributors who are the most likely to increase the trajectory’s exploration are those that (1) return to work on the focal artifact and (2) are unregistered members in the broader online community. Further, our results show that the trajectory’s exploration has a curvilinear association with article quality, indicating that exploration contributes positively to quality, but that the effect is reversed when exploration exceeds a certain level. The insights derived from this study highlight the value of an artifact-centric approach to increasing our understanding of the dynamics underlying peer-production.
{"title":"The Evolutionary Trajectories of Peer-Produced Artifacts: Group Composition, the Trajectories' Exploration, and the Quality of Artifacts","authors":"Ofer Arazy, Aron Lindberg, Mostafa Rezaei, Michele Samorani","doi":"10.25300/MISQ/2020/15379","DOIUrl":"https://doi.org/10.25300/MISQ/2020/15379","url":null,"abstract":"Members of an online community peer-produce digital artifacts by negotiating different perspectives and personal knowledge bases. These negotiations are manifested in the temporal evolution of the peer-produced artifact. In this study, we conceptualize the evolution of a digital artifact as a trajectory in a feature space. Our theoretical frame suggests that, through negotiations, contributors’ actions “pull” the trajectory and shape its movement in the feature space. We hypothesize that the type of contributors that work on a focal article influences the extent to which that article’s trajectory explores alternative positions within that space, and that the trajectory’s exploration is, in turn, associated with the artifact’s quality. To test these hypotheses, we analyzed the trajectories of wiki articles drawn from two peer-production communities, Wikipedia and Wikia, tracking the evolution of 242 paired articles for over a decade during which the articles went through 536,745 revisions. We found that the contributors who are the most likely to increase the trajectory’s exploration are those that (1) return to work on the focal artifact and (2) are unregistered members in the broader online community. Further, our results show that the trajectory’s exploration has a curvilinear association with article quality, indicating that exploration contributes positively to quality, but that the effect is reversed when exploration exceeds a certain level. The insights derived from this study highlight the value of an artifact-centric approach to increasing our understanding of the dynamics underlying peer-production.","PeriodicalId":18743,"journal":{"name":"MIS Q.","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91475698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.25300/MISQ/2020/14223
Hüseyin Tanriverdi, Kui Du
We develop a theory to explain why, how, and under what conditions corporate strategy changes negatively affect a multibusiness firm’s ability to design and effectively operate IT controls, and lead to the emergence of IT control material weaknesses (IT MW). Corporate strategy changes such as diversification, mergers and acquisitions (M&A), and divestitures alter a firm’s complicatedness by adding or removing business units. These changes can also affect the firm’s complexity by altering the degree of interrelatedness among the firm’s businesses. We hypothesize that corporate strategy changes that affect the firm’s complexity are more likely to increase IT MW than those that only affect the firm’s complicatedness. Complexity-altering corporate strategy changes are likely to disrupt all three types of IT controls: IT controls over technology, IT controls over business processes, and IT controls over people’s behaviors. We hypothesize that the changes are likely to disrupt the IT controls over people much more than IT controls over technology or business processes. Complexity-altering corporate strategy changes are also likely to affect the design effectiveness of the IT controls much more than the operating effectiveness of the IT controls. We find support for these ideas in a longitudinal study of 2,477 publicly traded U.S. firms. Results also indicate that the internal control material weaknesses (IC MW) that emerge following corporate strategy changes are primarily due to IT MW rather than non-IT MW. The proposed theory and the findings have important implications for research and practice.
{"title":"Corporate Strategy Changes and Information Technology Control Effectiveness in Multibusiness Firms","authors":"Hüseyin Tanriverdi, Kui Du","doi":"10.25300/MISQ/2020/14223","DOIUrl":"https://doi.org/10.25300/MISQ/2020/14223","url":null,"abstract":"We develop a theory to explain why, how, and under what conditions corporate strategy changes negatively affect a multibusiness firm’s ability to design and effectively operate IT controls, and lead to the emergence of IT control material weaknesses (IT MW). Corporate strategy changes such as diversification, mergers and acquisitions (M&A), and divestitures alter a firm’s complicatedness by adding or removing business units. These changes can also affect the firm’s complexity by altering the degree of interrelatedness among the firm’s businesses. We hypothesize that corporate strategy changes that affect the firm’s complexity are more likely to increase IT MW than those that only affect the firm’s complicatedness. Complexity-altering corporate strategy changes are likely to disrupt all three types of IT controls: IT controls over technology, IT controls over business processes, and IT controls over people’s behaviors. We hypothesize that the changes are likely to disrupt the IT controls over people much more than IT controls over technology or business processes. Complexity-altering corporate strategy changes are also likely to affect the design effectiveness of the IT controls much more than the operating effectiveness of the IT controls. We find support for these ideas in a longitudinal study of 2,477 publicly traded U.S. firms. Results also indicate that the internal control material weaknesses (IC MW) that emerge following corporate strategy changes are primarily due to IT MW rather than non-IT MW. The proposed theory and the findings have important implications for research and practice.","PeriodicalId":18743,"journal":{"name":"MIS Q.","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79442515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.25300/MISQ/2020/12165
D. Chau, E. Ngai, Jennifer E. Gerow, J. Thatcher
Organizations use IT to navigate uncertain, rapidly changing, and competitive environments. To achieve this, understanding the implications of the interplay among firm strategy, information technology (IT), and IT governance is critical to understanding firm success. In this work, we investigate the synergistic effects of business–IT strategic alignment (hereafter “alignment”), misalignment, and effectiveness of IT governance on firm performance among organizations with proactive/first-mover strategic orientations (hereafter “proactive organizations”). Using data from 87 organizations, we tested a moderated polynomial model that predicts alignment and misalignment’s effect on firm performance. The results indicated that effective IT governance in proactive organizations positively moderated the curvilinear relationship between alignment, misalignment, and firm performance. This paper contributes to research by offering a curvilinear and three-dimensional representation of the relationship between alignment, misalignment, and firm performance and by illustrating the moderating facets of IT governance. Moreover, for practice, it sheds light on the effects of misalignment, suggesting that proactive organizations with more effective IT governance are not likely to struggle with mild misalignment but may suffer more deleterious effects from severe misalignment. Our research sheds light on the conditions under which IT governance and alignment influence firm performance.
{"title":"The Effects of Business-IT Strategic Alignment and IT Governance on Firm Performance: A Moderated Polynomial Regression Analysis","authors":"D. Chau, E. Ngai, Jennifer E. Gerow, J. Thatcher","doi":"10.25300/MISQ/2020/12165","DOIUrl":"https://doi.org/10.25300/MISQ/2020/12165","url":null,"abstract":"Organizations use IT to navigate uncertain, rapidly changing, and competitive environments. To achieve this, understanding the implications of the interplay among firm strategy, information technology (IT), and IT governance is critical to understanding firm success. In this work, we investigate the synergistic effects of business–IT strategic alignment (hereafter “alignment”), misalignment, and effectiveness of IT governance on firm performance among organizations with proactive/first-mover strategic orientations (hereafter “proactive organizations”). Using data from 87 organizations, we tested a moderated polynomial model that predicts alignment and misalignment’s effect on firm performance. The results indicated that effective IT governance in proactive organizations positively moderated the curvilinear relationship between alignment, misalignment, and firm performance. This paper contributes to research by offering a curvilinear and three-dimensional representation of the relationship between alignment, misalignment, and firm performance and by illustrating the moderating facets of IT governance. Moreover, for practice, it sheds light on the effects of misalignment, suggesting that proactive organizations with more effective IT governance are not likely to struggle with mild misalignment but may suffer more deleterious effects from severe misalignment. Our research sheds light on the conditions under which IT governance and alignment influence firm performance.","PeriodicalId":18743,"journal":{"name":"MIS Q.","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91391431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.25300/MISQ/2020/16371
Brent Kitchens, Steven L. Johnson, Peter Gray
Echo chambers and filter bubbles are potent metaphors that encapsulate widespread public fear that the use of social media may limit the information that users encounter or consume online. Specifically, the concern is that social media algorithms combined with tendencies to interact with like-minded others both limits users’ exposure to diverse viewpoints and encourages the adoption of more extreme ideological positions. Yet empirical evidence about how social media shapes information consumption is inconclusive. We articulate how characteristics of platform algorithms and users’ online social networks may combine to shape user behavior. We bring greater conceptual clarity to this phenomenon by expanding beyond discussion of a binary presence or absence of echo chambers and filter bubbles to a richer set of outcomes incorporating changes in both diversity and slant of users’ information sources. Using a data set with over four years of web browsing history for a representative panel of nearly 200,000 U.S. adults, we analyzed how individuals’ social media usage was associated with changes in the information sources they chose to consume. We find differentiated impacts on news consumption by platform. Increased use of Facebook was associated with increased information source diversity and a shift toward more partisan sites in news consumption; increased use of Reddit with increased diversity and a shift toward more moderate sites; and increased use of Twitter with little to no change in either. Our results demonstrate the value of adopting a nuanced multidimensional view of how social media use may shape information consumption.
{"title":"Understanding Echo Chambers and Filter Bubbles: The Impact of Social Media on Diversification and Partisan Shifts in News Consumption","authors":"Brent Kitchens, Steven L. Johnson, Peter Gray","doi":"10.25300/MISQ/2020/16371","DOIUrl":"https://doi.org/10.25300/MISQ/2020/16371","url":null,"abstract":"Echo chambers and filter bubbles are potent metaphors that encapsulate widespread public fear that the use of social media may limit the information that users encounter or consume online. Specifically, the concern is that social media algorithms combined with tendencies to interact with like-minded others both limits users’ exposure to diverse viewpoints and encourages the adoption of more extreme ideological positions. Yet empirical evidence about how social media shapes information consumption is inconclusive. We articulate how characteristics of platform algorithms and users’ online social networks may combine to shape user behavior. We bring greater conceptual clarity to this phenomenon by expanding beyond discussion of a binary presence or absence of echo chambers and filter bubbles to a richer set of outcomes incorporating changes in both diversity and slant of users’ information sources. Using a data set with over four years of web browsing history for a representative panel of nearly 200,000 U.S. adults, we analyzed how individuals’ social media usage was associated with changes in the information sources they chose to consume. We find differentiated impacts on news consumption by platform. Increased use of Facebook was associated with increased information source diversity and a shift toward more partisan sites in news consumption; increased use of Reddit with increased diversity and a shift toward more moderate sites; and increased use of Twitter with little to no change in either. Our results demonstrate the value of adopting a nuanced multidimensional view of how social media use may shape information consumption.","PeriodicalId":18743,"journal":{"name":"MIS Q.","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83532491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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