Pub Date : 2023-04-03DOI: 10.1080/07421222.2023.2196770
Da Xu, P. J. Hu, Xiao Fang
ABSTRACT Popular online business directory (OBD) platforms, such as Yelp and TripAdvisor, depend on voluntarily user-submitted data about various businesses to assist consumers in finding appropriate options for transactions. Yet the crowdsourced nature of such data restricts the availability of attribute values for many businesses on the platform. Crowdsourced data often suffer serious completeness and timeliness constraints, with negative implications for key stakeholders such as users, businesses, and the platform. We thus develop a novel, deep learning–based imputation method, premised in institutional theory, to estimate missing attribute values of individual businesses on an OBD platform. The proposed method leverages a deep model architecture and considers both inter-business and inter-attribute relationships for imputations. An application to a Yelp data set reveals our method’s greater imputation effectiveness relative to prevalent methods. To illustrate the method’s practical utilities and values, we further examine the efficacy of business recommendations empowered by its imputed business attribute values, in comparison with those enabled by data imputed by benchmark methods. The results affirm that the proposed method substantially outperforms benchmarks for imputing missing attribute values and empowers more effective business recommendations. This study addresses crucial, prominent completeness and timeliness constraints in crowdsourced data on OBD platforms and offers insights for downstream applications that can improve user experiences, firm performance, and platform services.
{"title":"Deep Learning-Based Imputation Method to Enhance Crowdsourced Data on Online Business Directory Platforms for Improved Services","authors":"Da Xu, P. J. Hu, Xiao Fang","doi":"10.1080/07421222.2023.2196770","DOIUrl":"https://doi.org/10.1080/07421222.2023.2196770","url":null,"abstract":"ABSTRACT Popular online business directory (OBD) platforms, such as Yelp and TripAdvisor, depend on voluntarily user-submitted data about various businesses to assist consumers in finding appropriate options for transactions. Yet the crowdsourced nature of such data restricts the availability of attribute values for many businesses on the platform. Crowdsourced data often suffer serious completeness and timeliness constraints, with negative implications for key stakeholders such as users, businesses, and the platform. We thus develop a novel, deep learning–based imputation method, premised in institutional theory, to estimate missing attribute values of individual businesses on an OBD platform. The proposed method leverages a deep model architecture and considers both inter-business and inter-attribute relationships for imputations. An application to a Yelp data set reveals our method’s greater imputation effectiveness relative to prevalent methods. To illustrate the method’s practical utilities and values, we further examine the efficacy of business recommendations empowered by its imputed business attribute values, in comparison with those enabled by data imputed by benchmark methods. The results affirm that the proposed method substantially outperforms benchmarks for imputing missing attribute values and empowers more effective business recommendations. This study addresses crucial, prominent completeness and timeliness constraints in crowdsourced data on OBD platforms and offers insights for downstream applications that can improve user experiences, firm performance, and platform services.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"40 1","pages":"624 - 654"},"PeriodicalIF":7.7,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42158749","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 : 2023-01-02DOI: 10.1080/07421222.2023.2172768
G. de Vreede, J. Nunamaker
Recent years have proven to be among the most challenging on record for organizations and society at large. A global multi-year pandemic, violence resulting from polemic political discourse, and social-justice movements borne from (deadly) racial inequality are but a few examples of the major events that have changed how we work and live. The pandemic has changed where we perform our work duties and how we collaborate across space and time using technology. The political discourse has given rise to new social media phenomena like fake news and deep fake videos. The social-justice movements have put issues of diversity, equity, and inclusion front and center for many organizations. At the same time, information systems and technology have seen accelerated changes as well. Artificial Intelligence (AI) has become a mainstream application for organizations and households. Social media applications keep evolving, changing how we share information, interact with each other, and form communities. Information systems (IS) professionals versed in analytics and data science have become one of the scarcest organizational resources. Together these societal challenges and technological advances have changed how organizations and individuals create, receive, interpret, analyze, and act on information. The essence of value creation in communities and organizations is shifting as we find new work structures, new technologyhuman relationships, and new analytical techniques to find insight and extract knowledge from huge amounts of information. This special issue presents advanced research studies that share insights on new approaches, new techniques, and new understandings of how communities, organizations, and individual use information and information systems to create value The first paper focuses on a design method: “Act and Reflect: Integrating Reflection into Design Thinking,” by Thorsten Schoormann, Maren Stadtländer, and Ralf Knackstedt, demonstrates the criticality of adding a reflection lens to development methods. Specifically, the authors report on a multi-method study that includes a literature review, semi-structured interviews, a case study, and a software prototype, to develop prescriptive design knowledge on how to integrate reflection into design thinking. Their contribution to the Design Thinking discourse is significant as it accommodates and structures teams that experience divergent values, knowledge, and preferences to actively learn from their experiences and inform future design efforts. The next paper, “Formation and Action of a Learning Community with Collaborative Learning Software,” by Evren Eryilmaz, Brian Thoms, Zafor Ahmed, and Howard Lee presents a mixed-methods field study that is grounded in group cognition, knowledge building, and learning analytics to demonstrate how learning community development can be facilitated by specialized asynchronous online discussion (AOD) tools. The authors show participants operate in different co
{"title":"Introduction to the Special Issue","authors":"G. de Vreede, J. Nunamaker","doi":"10.1080/07421222.2023.2172768","DOIUrl":"https://doi.org/10.1080/07421222.2023.2172768","url":null,"abstract":"Recent years have proven to be among the most challenging on record for organizations and society at large. A global multi-year pandemic, violence resulting from polemic political discourse, and social-justice movements borne from (deadly) racial inequality are but a few examples of the major events that have changed how we work and live. The pandemic has changed where we perform our work duties and how we collaborate across space and time using technology. The political discourse has given rise to new social media phenomena like fake news and deep fake videos. The social-justice movements have put issues of diversity, equity, and inclusion front and center for many organizations. At the same time, information systems and technology have seen accelerated changes as well. Artificial Intelligence (AI) has become a mainstream application for organizations and households. Social media applications keep evolving, changing how we share information, interact with each other, and form communities. Information systems (IS) professionals versed in analytics and data science have become one of the scarcest organizational resources. Together these societal challenges and technological advances have changed how organizations and individuals create, receive, interpret, analyze, and act on information. The essence of value creation in communities and organizations is shifting as we find new work structures, new technologyhuman relationships, and new analytical techniques to find insight and extract knowledge from huge amounts of information. This special issue presents advanced research studies that share insights on new approaches, new techniques, and new understandings of how communities, organizations, and individual use information and information systems to create value The first paper focuses on a design method: “Act and Reflect: Integrating Reflection into Design Thinking,” by Thorsten Schoormann, Maren Stadtländer, and Ralf Knackstedt, demonstrates the criticality of adding a reflection lens to development methods. Specifically, the authors report on a multi-method study that includes a literature review, semi-structured interviews, a case study, and a software prototype, to develop prescriptive design knowledge on how to integrate reflection into design thinking. Their contribution to the Design Thinking discourse is significant as it accommodates and structures teams that experience divergent values, knowledge, and preferences to actively learn from their experiences and inform future design efforts. The next paper, “Formation and Action of a Learning Community with Collaborative Learning Software,” by Evren Eryilmaz, Brian Thoms, Zafor Ahmed, and Howard Lee presents a mixed-methods field study that is grounded in group cognition, knowledge building, and learning analytics to demonstrate how learning community development can be facilitated by specialized asynchronous online discussion (AOD) tools. The authors show participants operate in different co","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"40 1","pages":"3 - 6"},"PeriodicalIF":7.7,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42247970","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 : 2023-01-02DOI: 10.1080/07421222.2023.2172776
Edona Elshan, P. Ebel, Matthias Söllner, J. Leimeister
ABSTRACT Smart personal assistants (SPAs), such as Alexa for example, promise individualized user interactions owing to their varying interaction possibilities, knowledgeability, and human-like behaviors. To support the widespread adoption and use of SPAs, organizations such as Google or Amazon provide low code environments that support the development of SPAs (e.g., for Google Home or Amazon’s Alexa). These so-called low code platforms enable domain experts (e.g., business users without programming skills or experience) to develop SPAs for their purposes. However, using these platforms alone does not guarantee a useful and good conversation with novel SPAs due to non-intuitive design choices. Following a design science research approach, we propose the Smart Personal Assistant for Domain Experts (SPADE) method to address the missing link. This method supports domain experts in the development and contextualization of sophisticated SPAs for various application scenarios and focuses especially on conversational and anthropomorphic design steps. Our proof of concept and proof of value results show that SPADE is useful for supporting domain experts to create effective SPAs in different domains beyond private set-ups.
{"title":"Leveraging Low Code Development of Smart Personal Assistants: An Integrated Design Approach with the SPADE Method","authors":"Edona Elshan, P. Ebel, Matthias Söllner, J. Leimeister","doi":"10.1080/07421222.2023.2172776","DOIUrl":"https://doi.org/10.1080/07421222.2023.2172776","url":null,"abstract":"ABSTRACT Smart personal assistants (SPAs), such as Alexa for example, promise individualized user interactions owing to their varying interaction possibilities, knowledgeability, and human-like behaviors. To support the widespread adoption and use of SPAs, organizations such as Google or Amazon provide low code environments that support the development of SPAs (e.g., for Google Home or Amazon’s Alexa). These so-called low code platforms enable domain experts (e.g., business users without programming skills or experience) to develop SPAs for their purposes. However, using these platforms alone does not guarantee a useful and good conversation with novel SPAs due to non-intuitive design choices. Following a design science research approach, we propose the Smart Personal Assistant for Domain Experts (SPADE) method to address the missing link. This method supports domain experts in the development and contextualization of sophisticated SPAs for various application scenarios and focuses especially on conversational and anthropomorphic design steps. Our proof of concept and proof of value results show that SPADE is useful for supporting domain experts to create effective SPAs in different domains beyond private set-ups.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"40 1","pages":"96 - 129"},"PeriodicalIF":7.7,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44462040","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 : 2023-01-02DOI: 10.1080/07421222.2023.2172771
Scott Thiebes, Fangjian Gao, R. Briggs, Manuel Schmidt-Kraepelin, A. Sunyaev
ABSTRACT Multiorganizational, multistakeholder (MO-MS) collaborations that may span organizational and national boundaries, present design challenges beyond those of smaller-scale collaborations. This study opens an exploratory research stream to discover and document design concerns for MO-MS collaboration systems beyond those of the single-task collaborations that have been the primary focus of collaboration engineering research. We chose the healthcare industry as the first target for this research because it has attributes common to many MO-MS domains, and because it faces significant challenges on a global scale, like the recent COVID-19 pandemic, for which MO-MS collaboration could offer solutions, as, for example, evidenced by the rapid collaborative development and distribution of COVID-19 vaccines. To this end, we reviewed 6,609 articles to find 100 articles that offered insights about the design of MO-MS collaboration systems, then conducted 50 semi-structured interviews in two countries with expert practitioners in the field. From those sources, we derived an eleven-category set of design concerns for MO-MS collaboration systems and argue their generalizability to other MO-MS domains. We offer exemplar probe questions that designers can use to increase the breadth and depth of requirements gathering for MO-MS collaboration systems.
{"title":"Design Concerns for Multiorganizational, Multistakeholder Collaboration: A Study in the Healthcare Industry","authors":"Scott Thiebes, Fangjian Gao, R. Briggs, Manuel Schmidt-Kraepelin, A. Sunyaev","doi":"10.1080/07421222.2023.2172771","DOIUrl":"https://doi.org/10.1080/07421222.2023.2172771","url":null,"abstract":"ABSTRACT Multiorganizational, multistakeholder (MO-MS) collaborations that may span organizational and national boundaries, present design challenges beyond those of smaller-scale collaborations. This study opens an exploratory research stream to discover and document design concerns for MO-MS collaboration systems beyond those of the single-task collaborations that have been the primary focus of collaboration engineering research. We chose the healthcare industry as the first target for this research because it has attributes common to many MO-MS domains, and because it faces significant challenges on a global scale, like the recent COVID-19 pandemic, for which MO-MS collaboration could offer solutions, as, for example, evidenced by the rapid collaborative development and distribution of COVID-19 vaccines. To this end, we reviewed 6,609 articles to find 100 articles that offered insights about the design of MO-MS collaboration systems, then conducted 50 semi-structured interviews in two countries with expert practitioners in the field. From those sources, we derived an eleven-category set of design concerns for MO-MS collaboration systems and argue their generalizability to other MO-MS domains. We offer exemplar probe questions that designers can use to increase the breadth and depth of requirements gathering for MO-MS collaboration systems.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"40 1","pages":"239 - 270"},"PeriodicalIF":7.7,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44708969","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 : 2023-01-02DOI: 10.1080/07421222.2023.2172773
Thorsten Schoormann, Maren Stadtländer, R. Knackstedt
ABSTRACT Teams working on creative projects, such as design thinking, mostly face complex problems as well as challenging situations characterized by uniqueness and value conflicts. To cope with these characteristics, teams usually start doing something by drawing on their current store of experiences and professional knowledge, and then (re-)assess the outcomes produced, and adjust future actions based on insights obtained during the process. In reflecting on actions, tacit knowledge is revealed that enables designers to handle challenging situations. Although there is great potential to support design thinking by adding a reflection lens, we lack guidance on how, when, and on what to perform reflection. Based on scientific and theoretical literature, semi-structured interviews, a case study and a software prototype, prescriptive design knowledge on how to integrate reflection into design thinking is deduced, which enriches the scarce body of knowledge at the intersection of reflection and (digital) design thinking.
{"title":"Act and Reflect: Integrating Reflection into Design Thinking","authors":"Thorsten Schoormann, Maren Stadtländer, R. Knackstedt","doi":"10.1080/07421222.2023.2172773","DOIUrl":"https://doi.org/10.1080/07421222.2023.2172773","url":null,"abstract":"ABSTRACT Teams working on creative projects, such as design thinking, mostly face complex problems as well as challenging situations characterized by uniqueness and value conflicts. To cope with these characteristics, teams usually start doing something by drawing on their current store of experiences and professional knowledge, and then (re-)assess the outcomes produced, and adjust future actions based on insights obtained during the process. In reflecting on actions, tacit knowledge is revealed that enables designers to handle challenging situations. Although there is great potential to support design thinking by adding a reflection lens, we lack guidance on how, when, and on what to perform reflection. Based on scientific and theoretical literature, semi-structured interviews, a case study and a software prototype, prescriptive design knowledge on how to integrate reflection into design thinking is deduced, which enriches the scarce body of knowledge at the intersection of reflection and (digital) design thinking.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"40 1","pages":"7 - 37"},"PeriodicalIF":7.7,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47843725","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 : 2023-01-02DOI: 10.1080/07421222.2023.2172770
A. Kathuria, Prasanna P. Karhade, Xue Ning, B. Konsynski
ABSTRACT Family-owned businesses differ in their strategic intent and behavior as they serve as a reservoir of wealth and social status for their family owners. Family-owned businesses demonstrate relatively conservative strategic decision making that aspires long-term wealth preservation and enhancement. For family owners, investments in information technology (IT) raise a predicament as they are risky, yet a long-term imperative. We propose three hypotheses that build upon the thesis that family owners combine a deep understanding of the business with a strong influence on stakeholders within and beyond the firm’s boundaries to exert strategic control in the extended enterprise. First, family ownership negatively influences IT investment, because family owners are likely to avoid investments in IT that are frivolous, reduce information asymmetry, or leave auditable digital trails. Second, the negative influence of family ownership on IT investment is weakened when a career professional is appointed in the senior-most executive position of a family-owned business. This is because professional executives strive to utilize IT for control and performance benefits, and family owners desire to use IT to monitor and control the non-family professional executive. Third, family ownership weakens the negative influence of environmental hostility on the relationship between IT investment and firm performance, as family-owned businesses incur less dynamic adjustment costs and maintain better alignment between IT and business strategy. Empirical analysis, consisting of panel regression estimations, on archival data of publicly listed Indian firms in the years 2006 to 2018 provides support for our theory that highlights how IT for control acts as a noneconomic motivation for the strategic IT behavior of firms. In doing so, we bring family ownership into the theoretical foreground for future IS scholarship. We contribute to theory and practice by advancing the nature of ownership and executive management as sources of heterogeneity in IT investment and its business value.
{"title":"Blood and Water: Information Technology Investment and Control in Family-owned Businesses","authors":"A. Kathuria, Prasanna P. Karhade, Xue Ning, B. Konsynski","doi":"10.1080/07421222.2023.2172770","DOIUrl":"https://doi.org/10.1080/07421222.2023.2172770","url":null,"abstract":"ABSTRACT Family-owned businesses differ in their strategic intent and behavior as they serve as a reservoir of wealth and social status for their family owners. Family-owned businesses demonstrate relatively conservative strategic decision making that aspires long-term wealth preservation and enhancement. For family owners, investments in information technology (IT) raise a predicament as they are risky, yet a long-term imperative. We propose three hypotheses that build upon the thesis that family owners combine a deep understanding of the business with a strong influence on stakeholders within and beyond the firm’s boundaries to exert strategic control in the extended enterprise. First, family ownership negatively influences IT investment, because family owners are likely to avoid investments in IT that are frivolous, reduce information asymmetry, or leave auditable digital trails. Second, the negative influence of family ownership on IT investment is weakened when a career professional is appointed in the senior-most executive position of a family-owned business. This is because professional executives strive to utilize IT for control and performance benefits, and family owners desire to use IT to monitor and control the non-family professional executive. Third, family ownership weakens the negative influence of environmental hostility on the relationship between IT investment and firm performance, as family-owned businesses incur less dynamic adjustment costs and maintain better alignment between IT and business strategy. Empirical analysis, consisting of panel regression estimations, on archival data of publicly listed Indian firms in the years 2006 to 2018 provides support for our theory that highlights how IT for control acts as a noneconomic motivation for the strategic IT behavior of firms. In doing so, we bring family ownership into the theoretical foreground for future IS scholarship. We contribute to theory and practice by advancing the nature of ownership and executive management as sources of heterogeneity in IT investment and its business value.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"40 1","pages":"208 - 238"},"PeriodicalIF":7.7,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48175227","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 : 2023-01-02DOI: 10.1080/07421222.2023.2172778
Matthew Johnson, D. Murthy, Brett W. Robertson, W. R. Smith, K. Stephens
ABSTRACT Social media platforms are increasingly used during disasters. In the United States, users often consider these platforms to be reliable news sources and they believe first responders will see what they publicly post. While having ways to request help during disasters might save lives, this information is difficult to find because non-relevant content on social media completely overshadows content reflective of who needs help. To resolve this issue, we develop a framework for classifying hurricane-related images that have been human-annotated. Our approach uses transfer learning and classifies each image using the VGG-16 convolutional neural network and multi-layer perceptron classifiers according to the urgency, relevance, and time period, in addition to the presence of damage and relief motifs. We find that our framework not only successfully functions as an accurate method for hurricane-related image classification but also that real-time classification of social media images using a small training set is possible.
{"title":"Moving Emergency Response Forward: Leveraging Machine-Learning Classification of Disaster-Related Images Posted on Social Media","authors":"Matthew Johnson, D. Murthy, Brett W. Robertson, W. R. Smith, K. Stephens","doi":"10.1080/07421222.2023.2172778","DOIUrl":"https://doi.org/10.1080/07421222.2023.2172778","url":null,"abstract":"ABSTRACT Social media platforms are increasingly used during disasters. In the United States, users often consider these platforms to be reliable news sources and they believe first responders will see what they publicly post. While having ways to request help during disasters might save lives, this information is difficult to find because non-relevant content on social media completely overshadows content reflective of who needs help. To resolve this issue, we develop a framework for classifying hurricane-related images that have been human-annotated. Our approach uses transfer learning and classifies each image using the VGG-16 convolutional neural network and multi-layer perceptron classifiers according to the urgency, relevance, and time period, in addition to the presence of damage and relief motifs. We find that our framework not only successfully functions as an accurate method for hurricane-related image classification but also that real-time classification of social media images using a small training set is possible.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"40 1","pages":"163 - 182"},"PeriodicalIF":7.7,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42623790","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 : 2023-01-02DOI: 10.1080/07421222.2023.2172766
Vladimir Zwass
{"title":"Editorial Introduction","authors":"Vladimir Zwass","doi":"10.1080/07421222.2023.2172766","DOIUrl":"https://doi.org/10.1080/07421222.2023.2172766","url":null,"abstract":"","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135755004","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 : 2023-01-02DOI: 10.1080/07421222.2023.2172775
Mateusz Dolata, Dzmitry Katsiuba, Natalie Wellnhammer, G. Schwabe
ABSTRACT Digital agents are considered a general-purpose technology. They spread quickly in private and organizational contexts, including education. Yet, research lacks a conceptual framing to describe interaction with such agents in a holistic manner. While focusing on the interaction with a pedagogical agent, that is, a digital agent capable of natural-language interaction with a learner, we propose a model of learning activity based on activity theory. We use this model and a review of prior research on digital agents in education to analyze how various characteristics of the activity, including features of a pedagogical agent or learner, influence learning outcomes. The analysis leads to identification of information systems research directions and guidance for developers of pedagogical agents and digital agents in general. We conclude by extending the activity theory-based model beyond the context of education and show how it helps designers and researchers ask the right questions when creating a digital agent.
{"title":"Learning with Digital Agents: An Analysis based on the Activity Theory","authors":"Mateusz Dolata, Dzmitry Katsiuba, Natalie Wellnhammer, G. Schwabe","doi":"10.1080/07421222.2023.2172775","DOIUrl":"https://doi.org/10.1080/07421222.2023.2172775","url":null,"abstract":"ABSTRACT Digital agents are considered a general-purpose technology. They spread quickly in private and organizational contexts, including education. Yet, research lacks a conceptual framing to describe interaction with such agents in a holistic manner. While focusing on the interaction with a pedagogical agent, that is, a digital agent capable of natural-language interaction with a learner, we propose a model of learning activity based on activity theory. We use this model and a review of prior research on digital agents in education to analyze how various characteristics of the activity, including features of a pedagogical agent or learner, influence learning outcomes. The analysis leads to identification of information systems research directions and guidance for developers of pedagogical agents and digital agents in general. We conclude by extending the activity theory-based model beyond the context of education and show how it helps designers and researchers ask the right questions when creating a digital agent.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"40 1","pages":"56 - 95"},"PeriodicalIF":7.7,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49651719","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 : 2023-01-02DOI: 10.1080/07421222.2023.2172777
Sheila O’Riordan, Bill Emerson, J. Feller, G. Kiely
ABSTRACT This study theorizes the role of social signals in overcoming the motivation, coordination, and integration challenges in a hybrid peer production community, WikiTribune. WikiTribune was a collaborative journalism project that combined elements of firm-based production with that of commons-based peer production. Empirical data (article metrics, project documentation, and user communications) was used to examine the first 18-months of building and developing the collaborative journalism platform and community. The study’s primary contribution is a social signaling model that extends the theory of commons-based peer production and presents three constructs that inform the socially productive behavior in these communities. These constructs (1) system signals, (2) normative signals, and (3) behavioral signals are theorized to shape user engagement through the different levels of project participation. The alignment/misalignment of these signals with project strategy produce positive or negative outcomes. The social signaling model seeks to explain how challenges are overcome and advantages leveraged in commons-based peer production, in both pure and hybrid forms.
{"title":"The Road to Open News: A Theory of Social Signaling in an Open News Production Community","authors":"Sheila O’Riordan, Bill Emerson, J. Feller, G. Kiely","doi":"10.1080/07421222.2023.2172777","DOIUrl":"https://doi.org/10.1080/07421222.2023.2172777","url":null,"abstract":"ABSTRACT This study theorizes the role of social signals in overcoming the motivation, coordination, and integration challenges in a hybrid peer production community, WikiTribune. WikiTribune was a collaborative journalism project that combined elements of firm-based production with that of commons-based peer production. Empirical data (article metrics, project documentation, and user communications) was used to examine the first 18-months of building and developing the collaborative journalism platform and community. The study’s primary contribution is a social signaling model that extends the theory of commons-based peer production and presents three constructs that inform the socially productive behavior in these communities. These constructs (1) system signals, (2) normative signals, and (3) behavioral signals are theorized to shape user engagement through the different levels of project participation. The alignment/misalignment of these signals with project strategy produce positive or negative outcomes. The social signaling model seeks to explain how challenges are overcome and advantages leveraged in commons-based peer production, in both pure and hybrid forms.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"40 1","pages":"130 - 162"},"PeriodicalIF":7.7,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44277214","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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