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作者：Havakhor, Taha; Sabherwal, Rajiv
作者单位：Oklahoma State University System; Oklahoma State University - Stillwater; University of Arkansas System; University of Arkansas Fayetteville; University of Arkansas System; University of Arkansas Fayetteville
摘要：Virtual knowledge teams (VKTs) depend on team processes that facilitate expertise coordination. VKTs use technology to map expertise, and thereby address the lack of familiarity among members. Despite the considerable interest in studying expertise coordination in teams, expertise coordination in VKTs is less understood. Moreover, technology's role in expertise coordination in VKTs and the team processes, including expertise coordination, has received limited attention. This study argues and s...
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作者：Lee, Ho Cheung Brian; Li, Xinxin
作者单位：University of Massachusetts System; University of Massachusetts Lowell; University of Connecticut
摘要：With the recent advances in digital technology, creators of information goods such as books, songs, or videos can now self-publish and sell their work directly to consumers, without the help of traditional publishers. In this study, we construct an analytical model to examine the role of online word of mouth in this trend of disintermediation. Online word of mouth can reveal product quality for experience goods and raise awareness to accelerate product diffusion. Intuitively, one would expect ...
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作者：Zhou, Shihao; Qiao, Zhilei; Du, Qianzhou; Wang, G. Alan; Fan, Weiguo; Yan, Xiangbin
作者单位：Nanjing University; Virginia Polytechnic Institute & State University; Virginia Polytechnic Institute & State University; Virginia Polytechnic Institute & State University; University of Science & Technology Beijing
摘要：Large volumes of product reviews generated by online users have important strategic value for product development. Prior studies often focus on the influence of reviews on customers' purchasing decisions through the word-of-mouth effect. However, little is known about how product developers respond to these reviews. This study adopts a big data analytical approach to investigate the impact of online customer reviews on customer agility and subsequently product performance. We develop a singula...
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作者：Gunaratne, Junius; Zalmanson, Lior; Nov, Oded
作者单位：New York University; New York University Tandon School of Engineering; University of Haifa; New York University; New York University Tandon School of Engineering
摘要：Prior research has shown that both advice generated through algorithms and advice resulting from averaging peers' input can impact users' decision-making. However, it is not clear which advice type is more closely followed and if changes in decision-making should be attributed to the source or the content of the advice. We examine the effects of algorithmic and social advice on decision-making in the context of an online retirement saving system. By varying both the advice's message and the at...
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作者：Krancher, Oliver; Luther, Pascal; Jost, Marc
作者单位：University of Bern
摘要：Although software development teams increasingly use Platform-as-a-Service (PaaS), a minimal amount is known regarding the impact of PaaS on software development. We explored the impact of PaaS on software development through a grounded-theory study, conducting 48 interviews in 16 teams. The data turned our attention to the affordances, or potentials for action, that PaaS provides to software development teams. Two key affordances emerging from our data analysis were self-organizing and trigge...
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作者：Lehrer, Christiane; Wieneke, Alexander; vom Brocke, Jan; Jung, Reinhard; Seidel, Stefan
作者单位：University of St Gallen; University of St Gallen; University of Liechtenstein; University of Liechtenstein; University of Liechtenstein; University of Liechtenstein; University of St Gallen; University of Liechtenstein
摘要：The article reports on an exploratory, multisite case study of four organizations from the insurance, banking, telecommunications, and e-commerce industries that implemented big data analytics (BDA) technologies to provide individualized service to their customers. Grounded in our analysis of these four cases, a theoretical model is developed that explains how the flexible and reprogrammable nature of BDA technologies provides features of sourcing, storage, event recognition and prediction, be...
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作者：Benlian, Alexander; Kettinger, William J.; Sunyaev, Ali; Winkler, Till J.
作者单位：Technical University of Darmstadt; University of Munich; Clemson University; Helmholtz Association; Karlsruhe Institute of Technology; Universitat Kassel; University of Cologne; Copenhagen Business School
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作者：Kazan, Erol; Tan, Chee-Wee; Lim, Eric T. K.; Sorensen, Carsten; Damsgaard, Jan
作者单位：Copenhagen Business School; University of New South Wales Sydney; University of London; London School Economics & Political Science
摘要：Digital platforms confer competitive advantage through superior architectural configurations. There is, however, still a dearth of research that sheds light on the competitive attributes that define platform competition from an architectural standpoint. To disentangle platform competition, we opted for the mobile payment market in the United Kingdom as our empirical setting. By conceptualizing digital platforms as layered modular architectures and embracing the theoretical lens of strategic gr...
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作者：Dong, Wei; Liao, Shaoyi; Zhang, Zhongju
作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; City University of Hong Kong; Arizona State University; Arizona State University-Tempe; Arizona State University; Arizona State University-Tempe
摘要：Corporate fraud can lead to significant financial losses and cause immeasurable damage to investor confidence and the overall economy. Detection of such frauds is a time-consuming and challenging task. Traditionally, researchers have been relying on financial data and/or textual content from financial statements to detect corporate fraud. Guided by systemic functional linguistics (SFL) theory, we propose an analytic framework that taps into unstructured data from financial social media platfor...
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作者：Kumar, Naveen; Venugopal, Deepak; Qiu, Liangfei; Kumar, Subodha
作者单位：University of Memphis; University of Memphis; State University System of Florida; University of Florida; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：Opinion spammers exploit consumer trust by posting false or deceptive reviews that may have a negative impact on both consumers and businesses. These dishonest posts are difficult to detect because of complex interactions between several user characteristics, such as review velocity, volume, and variety. We propose a novel hierarchical supervised-learning approach to increase the likelihood of detecting anomalies by analyzing several user features and then characterizing their collective behav...
