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作者：Ren, Fei; Tan, Yong; Wan, Fei
作者单位：Peking University; University of Washington; University of Washington Seattle; Shanghai International Studies University
摘要：We examine the impact of firm social media engagement on sales performance, answering whether, what, and how questions. The study uses a quasi-experimental design in a social e-commerce setting, for which propensity score matching and difference-in-differences methods quantify a mean 20.67% sales increase after firm social media adoption. We also find that firms that sell low-involvement products benefit more from social media adoption, compared to those that sell high-involvement products. Fu...
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作者：Kim, Buomsoo (Raymond); Srinivasan, Karthik; Kong, Sung Hye; Kim, Jung Hee; Shin, Chan Soo; Ram, Sudha
作者单位：Iowa State University; University of Kansas; Seoul National University (SNU); Seoul National University Hospital; University of Arizona
摘要：Recent developments in big data technologies are revolutionizing the field of healthcare predictive analytics (HPA), enabling researchers to explore challenging problems using complex prediction models. Nevertheless, healthcare practitioners are reluctant to adopt those models as they are less transparent and accountable due to their black-box structure. We believe that instance-level, or local, explanations enhance patient safety and foster trust by enabling patient-level interpretations and ...
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作者：Zhao, Xia; Song, Peijian; Shi, Lanfei; Xue, Ling; Feng, Fan
作者单位：University System of Georgia; University of Georgia; Nanjing University; University of Virginia; Nanjing University
摘要：From the theoretical perspectives of value co-creation and value appropriation in platform governance, this study explores how a platform can design motivation mechanisms to induce the proactive efforts of providers to reduce customer complaints. We conducted a field experiment on a major Chinese peer-to-peer real estate platform offering long-term rental properties. Specifically, when a renter (customer) complaint about a host (provider) occurs, we sent reminder messages to other unaffected h...
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作者：Burton-Jones, Andrew
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作者：Nadj, Mario; Rissler, Raphael; Adam, Marc T. P.; Knierim, Michael T.; Li, Maximilian X.; Maedche, Alexander; Riedl, Rene
作者单位：Dortmund University of Technology; Helmholtz Association; Karlsruhe Institute of Technology; University of Newcastle; Helmholtz Association; Karlsruhe Institute of Technology; Helmholtz Association; Karlsruhe Institute of Technology; Johannes Kepler University Linz
摘要：Flow, the holistic sensation people experience when they act with total involvement, is a known driver for desired work outcomes like task performance. However, the increasing ubiquity of IT at work can disrupt employees' flow. Thus, the impact of IT-mediated interruptions on flow warrants more attention in research and practice. We conducted a NeuroIS laboratory experiment focusing on a typical office work task-an invoice matching task (i.e., matching customer payments to invoices). We manipu...
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作者：Gao, Yang; Rui, Huaxia; Sun, Shujing
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Rochester; University of Texas System; University of Texas Dallas
摘要：Text-based customer service is emerging as an important channel through which companies can assist customers. However, the use of few identity cues may cause customers to feel limited social presence and even suspect the human identity of agents, especially in the current age of advanced algorithms. Does such a lack of social presence affect service interactions? We studied this timely question by evaluating the impact of customers' perceived social presence on service outcomes and customers' ...
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作者：Zhao, Xiaohang; Fang, Xiao; He, Jing; Huang, Lihua
作者单位：Shanghai University of Finance & Economics; University of Delaware; Fudan University
摘要：Industry assignment, which assigns firms to industries according to a predefined industry classification system (ICS), is fundamental to a large number of critical business practices, ranging from operations and strategic decision-making by firms to economic analyses by government agencies. Three types of expert knowledge are essential to effective industry assignment: definition-based knowledge (i.e., expert definitions of each industry), structure-based knowledge (i.e., structural relationsh...
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作者：Yang, Yi; Qin, Yu; Fan, Yangyang; Zhang, Zhongju
作者单位：Hong Kong University of Science & Technology; Utah System of Higher Education; University of Utah; Hong Kong Polytechnic University; Arizona State University; Arizona State University-Tempe
摘要：Unstructured multimedia data (text and audio) provides unprecedented opportunities to derive actionable decision-making in the financial industry, in areas such as portfolio and risk management. However, due to formidable methodological challenges, the promise of business value from unstructured multimedia data has not materialized. In this study, we use a design science approach to develop DeepVoice, a novel nonverbal predictive analysis system for financial risk prediction, in the setting of...
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作者：Venkatesh, Viswanath; Thong, James Y. L.; Finance, Kai Spohrer; Chan, Frank K. Y.; Arora, Ankur; Hoehle, Hartmut; Venkatraman, Srinivasan
作者单位：Virginia Polytechnic Institute & State University; Hong Kong University of Science & Technology; Frankfurt School Finance & Management; ESSEC Business School; University of Memphis; University of Mannheim; Boeing
摘要：Prior work on leadership in information systems development (ISD) teams has assumed that all developers are treated equally by their team leader and ignored the possibility that differentiated leader-member exchange (LMX) may be an important instrument for team leaders to influence self-organizing, agile ISD teams. We conducted a concurrent mixed methods inquiry to understand how LMX differentiation is associated with developer satisfaction in agile ISD teams and through which team processes a...
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作者：Turel, Ofir; Kalhan, Shivam
作者单位：University of Melbourne; University of Melbourne
摘要：Algorithm aversion is an important and persistent issue that prevents harvesting the benefits of advancements in artificial intelligence. The literature thus far has provided explanations that primarily focus on conscious reflective processes. Here, we supplement this view by taking an unconscious perspective that can be highly informative. Building on theories of implicit prejudice, in a preregistered study, we suggest that people develop an implicit bias (i.e., prejudice) against artificial ...
