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Impact of Project Updates and Their Social Endorsement in Online Medical Crowdfunding J. Manag. Info. Syst. (IF 5.9) Pub Date : 2024-02-19 Yi Wu, Hua (Jonathan) Ye, Matthew L. Jensen, Linwei Liu
Online crowdfunding has become an important fundraising channel for medical care. Yet, individuals in need face numerous challenges in meeting their fundraising goals. To improve fundraising, indiv...
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Editorial Introduction J. Manag. Info. Syst. (IF 5.9) Pub Date : 2024-02-19 Vladimir Zwass
Published in Journal of Management Information Systems (Vol. 41, No. 1, 2024)
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Bureaucratizing the Clan: Impact of Technology Affordances on Control J. Manag. Info. Syst. (IF 5.9) Pub Date : 2024-02-19 Abdul Sesay, Ronald Ramirez, Marie-Claude Boudreau, Gerald C. Kane
We examine how technology affordances impact clan control mechanisms in organizations. Using an interpretive multisite case study of the use of body-worn cameras in police organizations and technol...
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Discovery of Technological Innovation Systems: Implications for Predicting Future Innovation J. Manag. Info. Syst. (IF 5.9) Pub Date : 2024-02-19 Junho Yoon, Gautam Pant, Shagun Pant
In contrast with the accelerating trend of boundary-spanning (horizontal) technological innovation, the current Cooperative Patent Classification (CPC) scheme applies a hierarchical (vertical) stru...
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Social Ties among Fundraisers and Crowdfunding Performance: The Impact of Tie Strength and Network Closure J. Manag. Info. Syst. (IF 5.9) Pub Date : 2024-02-19 Ta-Wei (Daniel) Kao, Li Zhang, Benjamin B. M. Shao, Thomas Y. Choi
This study examines how the strength of social ties between focal and peer fundraisers interacts with the network structure generated by these social ties to determine crowdfunding performance. Wit...
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Taking the Chat out of Chatbot? Collecting User Reviews with Chatbots and Web Forms J. Manag. Info. Syst. (IF 5.9) Pub Date : 2024-02-19 Agrim Sachdeva, Antino Kim, Alan R. Dennis
Firms are beginning to use chatbots to collect information from users (e.g., online reviews), a task traditionally done through forms. We used two experiments to investigate how collecting reviews ...
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The Effects of Sentiment Evolution in Financial Texts: A Word Embedding Approach J. Manag. Info. Syst. (IF 5.9) Pub Date : 2024-02-19 Jiexin Zheng, Ka Chung Ng, Rong Zheng, Kar Yan Tam
We examine the evolutionary effects of sentiment words in financial text and their implications for various business outcomes. We propose an algorithm called Word List Vector for Sentiment (WOLVES)...
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Dark Clouds on the Horizon? Effects of Cloud Storage on Security Breaches J. Manag. Info. Syst. (IF 5.9) Pub Date : 2024-02-19 He Li, William J. Kettinger, Sungjin Yoo
This research examines how a firm’s cloud storage implementation affects different types of security breaches in both the short- and long-term. Building on the attention-based view, we find that cl...
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Improving Threat Mitigation Through a Cybersecurity Risk Management Framework: A Computational Design Science Approach J. Manag. Info. Syst. (IF 5.9) Pub Date : 2024-02-19 Benjamin M. Ampel, Sagar Samtani, Hongyi Zhu, Hsinchun Chen, Jay F. Nunamaker Jr.
Cyberattacks have been increasing in volume and intensity, necessitating proactive measures. Cybersecurity risk management frameworks are deployed to provide actionable intelligence to mitigate pot...
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Governance and Longevity of Architecturally Embedded Applications J. Manag. Info. Syst. (IF 5.9) Pub Date : 2024-02-19 Karl Akbari, Daniel Fürstenau, Till J. Winkler
This study explores the relationship between the governance of architecturally embedded applications and their longevity in organizational use. Using a contingency-fit logic, it posits that alignme...
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The Impact of Social Comparison on Turnover Among Information Technology Professionals J. Manag. Info. Syst. (IF 5.9) Pub Date : 2024-02-19 Manuel Wiesche, Christoph Pflügler, Jason Bennett Thatcher
While IT workforce research often examines job- and organizational-related reasons for turnover, studies rarely connect the immediate social context of IT work to IT professionals’ workplace behavi...
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Correction J. Manag. Info. Syst. (IF 5.9) Pub Date : 2024-01-31
Published in Journal of Management Information Systems (Vol. 41, No. 1, 2024)
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Author's clarification J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-12-11
Published in Journal of Management Information Systems (Vol. 40, No. 4, 2023)
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Digitalization of Loyalty: Impacts of Mobile Technology on Reward Redemption and Engagement Level J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-12-11 Yoonseock Son, Wonseok Oh
Although digitalization is a prevalent strategy in reward programs, a minimal amount is known regarding the relationship between reward app usage and reward redemption behaviors. The enhanced avail...
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Examining the Differential Effectiveness of Fear Appeals in Information Security Management Using Two-Stage Meta-Analysis J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-12-11 Paul Benjamin Lowry, Gregory D. Moody, Srikanth Parameswaran, Nicholas James Brown
Most of the information security management research involving fear appeals is guided by either protection motivation theory or the extended parallel processing model. Over time, extant research ha...
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Editorial Introduction J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-12-11 Vladimir Zwass
Published in Journal of Management Information Systems (Vol. 40, No. 4, 2023)
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Perceived Fairness of Human Managers Compared with Artificial Intelligence in Employee Performance Evaluation J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-12-11 Shaojun (Marco) Qin, Nan Jia, Xueming Luo, Chengcheng Liao, Ziyao Huang
Human managers are increasingly challenged by artificial intelligence (AI) technologies in performing managerial functions. We undertook a field experiment that used AI vis-à-vis human managers to ...
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Human–Artificial Intelligence Collaboration in Prediction: A Field Experiment in the Retail Industry J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-12-11 Elena Revilla, Maria Jesus Saenz, Matthias Seifert, Ye Ma
This study investigates the role of human intervention in artificial intelligence/machine learning (AIML)-driven predictions. By doing so, we distinguish between three different types of human-AIML...
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Information Technology Innovativeness and Data-Breach Risk: A Longitudinal Study J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-12-11 Qian Wang, Eric W. T. Ngai, Daniel Pienta, Jason Bennett Thatcher
The adoption of new Information Technology (IT) innovations has led to increased uncertainty among employees, a greater demand for security measures, and more entry points for cyber-attacks, which ...
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Avatar-Mediated Communication and Social Identification J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-12-11 Ching-I Teng, Alan R. Dennis, Alexander S. Dennis
Avatar-mediated communication (AMC), commonly used in online environments such as games and the emerging metaverse, is different from traditional computer-mediated communication in that it is a hum...
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Foreignness Liability of Mobile App Startups: Examining Performance in the Context of Consumer and Investor Cultural Distances J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-12-11 Franck Soh, Varun Grover
Mobile platforms provide important entrepreneurial opportunities by facilitating access to a global market composed of more than a hundred countries. These opportunities are crucial for mobile app ...
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Impact of Open-Source Community on Cryptocurrency Market Price: An Empirical Investigation J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-12-11 Mariia Petryk, Liangfei Qiu, Praveen Pathak
Although the prices of cryptocurrencies remained volatile for the past decade, the factors that impact the price dynamics of the new type of investment instrument have not been fully identified yet...
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Impacts of Social Interactions and Peer Evaluations on Online Review Platforms J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-12-11 Yinan Yu, Warut Khern-am-nuai, Alain Pinsonneault, Zaiyan Wei
Social technologies on online review platforms enable social interactions among users, such as establishing following relationships and commenting on others’ posts. Although it is well recognized t...
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Optimization of Dynamic Product Offerings on Online Marketplaces: A Network Theory Perspective J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-12-11 Meihua Zuo, Spyros Angelopoulos, Carol Xiaojuan Ou, Hongwei Liu, Zhouyang Liang
The fierce competition among brands on online marketplaces makes the optimization of offerings within this context a significant challenge. To address this challenge, we draw upon network theory an...
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Editorial Introduction J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-08-23 Vladimir Zwass
Published in Journal of Management Information Systems (Vol. 40, No. 3, 2023)
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Special Section: Digital Strategies for Business Readiness J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-08-23 Robert J. Kauffman, Atanu Lahiri
Published in Journal of Management Information Systems (Vol. 40, No. 3, 2023)
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The Paradoxical Role of Humanness in Aggression Toward Conversational Agents J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-08-23 Alfred Benedikt Brendel, Fabian Hildebrandt, Alan R. Dennis, Johannes Riquel
ABSTRACT Conversational Agents (CAs) are becoming part of our everyday lives. About 10 percent of users display aggressive behavior toward CAs, such as swearing at them when they produce errors. We conducted two online experiments to understand user aggression toward CAs better. In the first experiment, 175 participants used either a humanlike CA or a non-humanlike CA. Both CAs worked without errors
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Task Conflict Resolution in Designing Legacy Replacement Systems J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-08-23 Jacob Chia-An Tsai, James J. Jiang, Gary Klein, Shin-Yuan Hung
Organizations undergo significant change in the pursuit of digital transformation. Among those changes is replacing legacy information systems (LIS) with updated systems that integrate data, platfo...
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Multi-Device Consumption of Digital Goods: Optimal Product Line Design with Bundling J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-08-23 Hemant K. Bhargava
ABSTRACT A contemporary business challenge for bundling theory is the distribution of digital content such as media, entertainment, software, and other information goods. Consumers can use a number of devices to interact with software, online services, music, video, news, and other forms of digital content. For instance, Netflix videos and Kindle ebooks, initially accessed only on television sets and
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Product Recommendation and Consumer Search J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-08-23 Vidyanand Choudhary, Zhe (James) Zhang
ABSTRACT We study an online environment where a firm provides strategic product recommendations to consumers. We develop an analytical framework to integrate recommendations into the consumer search process. The firm sells two imperfectly substitutable products with different profit margins and makes a personalized product recommendation to each consumer based on its uncertainty (lack of knowledge)
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Impact of Bot Involvement in an Incentivized Blockchain-Based Online Social Media Platform J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-08-23 Fatemeh Delkhosh, Ram D. Gopal, Raymond A. Patterson, Niam Yaraghi
ABSTRACT Incentivized blockchain-based online social media (BOSM), where creators and curators of popular content are paid in cryptocurrency, have recently emerged. Traditional social media ecosystems have experienced significant bot involvement in their platforms, which has often had a negative impact on both users and platforms. BOSM can provide additional direct financial incentives as motivation
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Strategic Investments for Platform Launch and Ecosystem Growth: A Dynamic Analysis J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-08-23 Edward G. Anderson Jr., Geoffrey G. Parker, Burcu Tan
ABSTRACT Multi-sided platforms must make decisions on both pricing and engineering investment and must continually adjust them as the platform scales over its lifecycle. Engineering investments can be allocated to features that improve a platform’s standalone value, social features to take advantage of same-side network effects, or integration tools and boundary resources to facilitate third-party
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Differential Impacts of Technology-Network Structures on Cost Efficiency: Knowledge Spillovers in Healthcare J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-08-23 Onyi Nwafor, Xiao Ma, Norman A. Johnson, Rahul Singh, Ravi Aron
ABSTRACT We examine how hospital cost efficiency can improve because of knowledge spillover effects, arising from the experiences of members of a healthcare system. We identify two types of functional technology networks—that we term repository-type and workflow-type networks—which are defined by the adoption patterns of different types of electronic health record (EHR) systems application functions
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How Lending Experience and Borrower Credit Influence Rational Herding Behavior in Peer-to-Peer Microloan Platform Markets J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-08-23 Paul Benjamin Lowry, Junji Xiao, Jia Yuan
This paper analyzes the herding behavior that characterizes lenders’ lending decisions on a microloan platform and explains how rational herding behavior can resolve the information-asymmetry probl...
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Influence of Media Capabilities on Trust in the Sharing Economy J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-08-23 Andrew Harrison, Akmal Mirsadikov, Truong (Jack) Luu
ABSTRACT Media capabilities influence consumers’ trust in online exchanges. However, in the sharing economy, where consumers interact with service providers through a platform, conventional models of trust must be revisited. Our research identifies how media synchronicity and anonymity influence the relative importance of institution-based trust in sharing economy exchanges. We collected data from
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Stigmergy in Open Collaboration: An Empirical Investigation Based on Wikipedia J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-08-23 Lei (Nico) Zheng, Feng Mai, Bei Yan, Jeffrey V. Nickerson
ABSTRACT Participants in open collaboration communities coproduce knowledge despite minimal explicit communication to coordinate the efforts. Studying how participants coordinate around the knowledge artifact and its impacts are critical for understanding the open knowledge production model. This study builds on the theory of stigmergy, wherein actions performed by a participant leave traces on a knowledge
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Editorial Introduction J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Vladimir Zwass
Published in Journal of Management Information Systems (Vol. 40, No. 2, 2023)
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AI Agents as Team Members: Effects on Satisfaction, Conflict, Trustworthiness, and Willingness to Work With J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Alan R. Dennis, Akshat Lakhiwal, Agrim Sachdeva
ABSTRACT Organizations are beginning to deploy artificial intelligence (AI) agents as members of virtual teams to help manage information, coordinate team processes, and perform simple tasks. How will team members perceive these AI team members and will they be willing to work with them? We conducted a 2 x 2 x 2 lab experiment that manipulated the type of team member (human or AI), their performance
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Software-Vendor Diversification: A Source of Organizational Rigidity in Adversity? J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Jing Gong, Yi Liang, Narayan Ramasubbu
ABSTRACT Firms often assemble digital infrastructures using continuously evolving software applications sourced from a multitude of vendors. Using the theoretical lens of the threat-rigidity thesis, we raise the possibility that during adverse environmental conditions, software-vendor diversification can be a source of organizational rigidity that may dampen firm performance. Empirical analysis using
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Who Should Own the Data? The Impact of Data Ownership Shift from the Service Provider to Consumers J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Shilei Li, Yang Liu, Juan Feng
ABSTRACT With the wide use of information technologies including Big Data and artificial intelligence (AI), consumers’ personal actions (their search history, transaction records, click-through behaviors, etc.) can be tracked, recorded and analyzed by the service provider (e.g., Google) to provide personalized services. Under the current regime, consumers usually hand over their personal data for free
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Explaining the Outcomes of Social Gamification: A Longitudinal Field Experiment J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Jun Zhang, Qiqi Jiang, Wenping Zhang, Lele Kang, Paul Benjamin Lowry, Xiong Zhang
ABSTRACT Social gamification, which allows technology users to interact with each other in gamified tasks, has drawn increasing interest due to its effectiveness in facilitating users’ game engagement and task efforts. In social gamification, users can compete or cooperate with other users or teams to complete game tasks and achieve game goals. However, it remains unclear how various social interaction
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Do Risk Preferences Shape the Effect of Online Trading on Trading Frequency, Volume, and Portfolio Performance? J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Yang Pan, Sunil Mithas, J.J. Po-An Hsieh, Che-Wei Liu
ABSTRACT How do investors’ risk preferences influence the relationships between investors’ online channel use intensity and both their trading behaviors and performance? This study answers this important question even as investors are increasingly rely on the Internet for their trading activities. We leverage rare and unique micro-level historical dataset from more than 7,000 investor accounts over
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Maximizing Online Revisiting and Purchasing: A Clickstream-Based Approach to Enhancing Customer Lifetime Value J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Wael Jabr, Abhijeet Ghoshal, Yichen Cheng, Paul Pavlou
ABSTRACT Online retailers are increasingly focused on maintaining a long-term relationship with customers, encouraging repeat visits rather than single-time purchases to increase customer lifetime value. To help retailers maximize the probabilities of customers’ revisiting and purchasing, we develop a two-stage model to better characterize and predict these two fundamental customer activities. In the
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Situational Contingencies in Susceptibility of Social Media to Phishing: A Temptation and Restraint Model J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Hamed Qahri-Saremi, Ofir Turel
ABSTRACT User susceptibility to phishing messages on social media is a growing information security concern. Contingency factors that can influence this susceptibility and the theoretical mechanisms through which they operate need more scholarly attention. To bridge this gap, we present a temptation and restraint (TR) model (a specific manifestation of the dual–system theory) of social media phishing
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Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Jiaheng Xie, Yidong Chai, Xiao Liu
ABSTRACT As video-sharing sites emerge as a critical part of the social media landscape, video viewership prediction becomes essential for content creators and businesses to optimize influence and marketing outreach with minimum budgets. Although deep learning champions viewership prediction, it lacks interpretability, which is required by regulators and is fundamental to the prioritization of the
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Thinking Fast and Thinking Slow: Digital Devices’ Effects on Cognitive Reflection J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Kathrin Figl, Ulrich Remus
ABSTRACT Informed by theoretical perspectives on working memory demands and devices’ potential to “prime” different types of cognitive processing, this paper investigates whether we tend to think “faster” and more intuitively, with less reflection when we use a smartphone instead of a personal computer (PC) or notebook. Three complementary experimental studies with a total of 823 participants reveal
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Deep Learning-Based Imputation Method to Enhance Crowdsourced Data on Online Business Directory Platforms for Improved Services J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Da Xu, Paul Jen-Hwa 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
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SocioLink: Leveraging Relational Information in Knowledge Graphs for Startup Recommendations J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Ruiyun Xu, Hailiang Chen, J. Leon Zhao
ABSTRACT While venture capital firms are increasingly relying on recommendation models in investment decisions, existing startup recommendation models fail to consider the uniqueness of venture capital context, including two-sided matching between investing and investee firms and a lack of information disclosure requirements on startups. Following the design science research paradigm and guided by
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Token Incentives in a Volatile Crypto Market: The Effects of Token Price Volatility on User Contribution J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-06-17 Kun Chen, Yifan Fan, Shaoyi Stephen Liao
ABSTRACT Crypto tokens, issued and managed via smart contracts, function as rewards in blockchain systems to encourage user participation. Distinct from monetary incentives, token incentives are uncertain in reward magnitude due to the large swings in token prices on crypto markets. By focusing on token price volatility, this study investigates how the reward uncertainty affects user contribution in
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Editorial Introduction J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-03-30 Vladimir Zwass
Published in Journal of Management Information Systems (Vol. 40, No. 1, 2023)
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Introduction to the Special Issue J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-03-30 Gert-Jan de Vreede ID, Jay F. Nunamaker Jr., (Guest Editors)
Published in Journal of Management Information Systems (Vol. 40, No. 1, 2023)
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Act and Reflect: Integrating Reflection into Design Thinking J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-03-30 Thorsten Schoormann, Maren Stadtländer, Ralf 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
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Formation and Action of a Learning Community with Collaborative Learning Software J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-03-30 Evren Eryilmaz, Brian Thoms, Zafor Ahmed, Howard Lee
ABSTRACT This paper explores the formation of a learning community facilitated by custom collaborative learning software. Drawing on research in group cognition, knowledge building discourse, and learning analytics, we conducted a mixed-methods field study involving an asynchronous online discussion consisting of 259 messages posted by 50 participants. The cluster analysis results provide evidence
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Learning with Digital Agents: An Analysis based on the Activity Theory J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-03-30 Mateusz Dolata, Dzmitry Katsiuba, Natalie Wellnhammer, Gerhard 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
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Leveraging Low Code Development of Smart Personal Assistants: An Integrated Design Approach with the SPADE Method J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-03-30 Edona Elshan, Philipp Ebel, Matthias Söllner, Jan Marco 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)
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The Road to Open News: A Theory of Social Signaling in an Open News Production Community J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-03-30 Sheila O’Riordan, Bill Emerson, Joseph Feller, Gaye 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)
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Moving Emergency Response Forward: Leveraging Machine-Learning Classification of Disaster-Related Images Posted on Social Media J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-03-30 Matthew Johnson, Dhiraj Murthy, Brett W. Robertson, William Roth Smith, Keri 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
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Trust in Online Ride-Sharing Transactions: Impacts of Heterogeneous Order Features J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-03-30 Xusen Cheng, Shixuan Fu, Jianshan Sun, Meiyun Zuo, Xiangsong Meng
ABSTRACT With the development of the sharing economy, online ride-sharing has become a primary form of commuting. Using secondary transaction data, this study investigates the associations between the heterogeneous features and mutual trust in sharing economy-driven online ride-sharing transactions. Based on an examination of 12,404 ride-sharing orders in Beijing, we propose a set of trust distribution
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Blood and Water: Information Technology Investment and Control in Family-owned Businesses J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-03-30 Abhishek Kathuria, Prasanna P. Karhade, Xue (Nancy) Ning, Benn R. 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
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Design Concerns for Multiorganizational, Multistakeholder Collaboration: A Study in the Healthcare Industry J. Manag. Info. Syst. (IF 5.9) Pub Date : 2023-03-30 Scott Thiebes, Fangjian Gao, Robert O. Briggs, Manuel Schmidt-Kraepelin, Ali 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