Information Systems Research

最新文章

• A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research AI翻译
  作者：Hong, Weiyin; Chan, Frank K. Y.; Thong, James Y. L.; Chasalow, Lewis C.; Dhillon, Gurpreet
  作者单位：Hong Kong University of Science & Technology; Nevada System of Higher Education (NSHE); University of Nevada Las Vegas; ESSEC Business School; Virginia Commonwealth University
  摘要：This paper discusses the value of context in theory development in information systems (IS) research. We examine how prior research has incorporated context in theorizing and develop a framework to classify existing approaches to contextualization. In addition, we expound on a decomposition approach to contextualization and put forth a set of guidelines for developing context-specific models. We illustrate the application of the guidelines by constructing and comparing various context-specific...
• Information, Technology, and the Changing Nature of Work AI翻译
  作者：Forman, Chris; King, John Leslie; Lyytinen, Kalle
  作者单位：University System of Georgia; Georgia Institute of Technology; University of Michigan System; University of Michigan; University System of Ohio; Case Western Reserve University
  摘要：The information systems field started with the expectation that information and technology will significantly shape the nature of work. The topic provides ample scope for significant scholarly inquiry. Work content, process, and organization are now different from what they were in the 1960s and 1970s, which provided a foundation for theories and understanding. Although investigations about the changing nature of work have been made for years, this special section recognizes that the time of r...
• Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research AI翻译
  作者：Agarwal, Ritu; Dhar, Vasant
  作者单位：University System of Maryland; University of Maryland College Park; New York University
  摘要：We address key questions related to the explosion of interest in the emerging fields of big data, analytics, and data science. We discuss the novelty of the fields and whether the underlying questions are fundamentally different, the strengths that the information systems (IS) community brings to this discourse, interesting research questions for IS scholars, the role of predictive and explanatory modeling, and how research in this emerging area should be evaluated for contribution and signifi...
• Discriminant Analysis with Strategically Manipulated Data AI翻译
  作者：Zhang, Juheng; Aytug, Haldun; Koehler, Gary J.
  作者单位：University of Massachusetts System; University of Massachusetts Lowell; State University System of Florida; University of Florida
  摘要：We study the problem where a decision maker uses a linear classifier over attribute values (e. g., age, income, etc.) to classify agents into classes (e. g., creditworthy or not). Sometimes the attribute values are altered and/or hidden by agents to obtain a favorable but undeserved classification. Our main goal is to develop methods to thwart agents from hiding or distorting attribute values to obtain a favorable but incorrect classification. Intentionally altered attributes to obtain strateg...
• Patient Data as Medical Facts: Social Media Practices as a Foundation for Medical Knowledge Creation AI翻译
  作者：Kallinikos, Jannis; Tempini, Niccolo
  作者单位：University of London; London School Economics & Political Science
  摘要：This paper investigates a web-based, medical research network that relies on patient self-reporting to collect and analyze data on the health status of patients, mostly suffering from severe conditions. The network organizes patient participation in ways that break with the strong expert culture of medical research. Patient data entry is largely unsupervised. It relies on a data architecture that encodes medical knowledge and medical categories, yet remains open to capturing details of patient...
• The IQ of the Crowd: Understanding and Improving Information Quality in Structured User-Generated Content AI翻译
  作者：Lukyanenko, Roman; Parsons, Jeffrey; Wiersma, Yolanda F.
  作者单位：State University System of Florida; Florida International University; Memorial University Newfoundland; Memorial University Newfoundland
  摘要：User-generated content (UGC) is becoming a valuable organizational resource, as it is seen in many cases as a way to make more information available for analysis. To make effective use of UGC, it is necessary to understand information quality (IQ) in this setting. Traditional IQ research focuses on corporate data and views users as data consumers. However, as users with varying levels of expertise contribute information in an open setting, current conceptualizations of IQ break down. In partic...
• Latent Growth Modeling for Information Systems: Theoretical Extensions and Practical Applications AI翻译
  作者：Zheng, Zhiqiang (Eric); Pavlou, Paul A.; Gu, Bin
  作者单位：University of Texas System; University of Texas Dallas; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University; Arizona State University; Arizona State University-Tempe
  摘要：This paper presents and extends Latent Growth Modeling (LGM) as a complementary method for analyzing longitudinal data, modeling the process of change over time, testing time-centric hypotheses, and building longitudinal theories. We first describe the basic tenets of LGM and offer guidelines for applying LGM to Information Systems (IS) research, specifically how to pose research questions that focus on change over time and how to implement LGM models to test time-centric hypotheses. Second an...
• How to Attract and Retain Readers in Enterprise Blogging? AI翻译
  作者：Singh, Param Vir; Sahoo, Nachiketa; Mukhopadhyay, Tridas
  作者单位：Carnegie Mellon University; Boston University; Carnegie Mellon University; Qatar Foundation (QF); Carnegie Mellon University in Qatar
  摘要：We investigate the dynamics of blog reading behavior of employees in an enterprise blogosphere. A dynamic model is developed and calibrated using longitudinal data from a Fortune 1,000 IT services firm. Our modeling framework allows us to segregate the impact of textual characteristics (sentiment and quality) of a post on attracting readers from retaining them. We find that the textual characteristics that appeal to the sentiment of the reader affect both reader attraction and retention. Howev...
• Information Valuation and Confirmation Bias in Virtual Communities: Evidence from Stock Message Boards AI翻译
  作者：Park, JaeHong; Konana, Prabhudev; Gu, Bin; Kumar, Alok; Raghunathan, Rajagopal
  作者单位：Kyung Hee University; University of Texas System; University of Texas Austin; Arizona State University; Arizona State University-Tempe; University of Miami
  摘要：Virtual communities continue to play a greater role in social, political, and economic interactions. However, how users value information from these communities and how that affects their behavior and future expectations is not fully understood. Stock message boards provide an excellent setting to analyze these issues given the large user base and market uncertainty. Using data from 502 investor responses from a field experiment on one of the largest message board operators in South Korea, our...
• Moving from Access to Use of the Information Infrastructure: A Multilevel Sociotechnical Framework AI翻译
  作者：Racherla, Pradeep; Mandviwalla, Munir
  作者单位：Texas A&M University System; West Texas A&M University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
  摘要：Universal access (UA) to the Internet and the associated information infrastructure has become an important economic and societal goal. However, UA initiatives tend to focus on issues such as physical access and geographical ubiquity, and they measure adoption through penetration rates. In this paper, we apply an interpretive case study approach to analyze the Philadelphia wireless initiative to provide insights into the nature of UA and extend this concept to also consider universal use (UU)....