2018

最新文章

• Measuring Customer Agility from Online Reviews Using Big Data Text Analytics AI翻译
  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...
• The Persuasive Power of Algorithmic and Crowdsourced Advice AI翻译
  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...
• Key Affordances of Platform-as-a-Service: Self-Organization and Continuous Feedback AI翻译
  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...
• How Big Data Analytics Enables Service Innovation: Materiality, Affordance, and the Individualization of Service AI翻译
  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...
• Special Section: The Transformative Value of Cloud Computing: A Decoupling, Platformization, and Recombination Theoretical Framework AI翻译
  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
• Disentangling Digital Platform Competition: The Case of UK Mobile Payment Platforms AI翻译
  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...
• Leveraging Financial Social Media Data for Corporate Fraud Detection AI翻译
  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...
• Detecting Review Manipulation on Online Platforms with Hierarchical Supervised Learning AI翻译
  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...
• The Innovation Mechanisms of Fintech Start-Ups: Insights from SWIFT's Innotribe Competition AI翻译
  作者：Gozman, Daniel; Liebenau, Jonathan; Mangan, Jonathan
  作者单位：University of Sydney; University of Reading; University of London; London School Economics & Political Science; Columbia University
  摘要：The emergence of financial technology around the globe is driven by efforts to deconstruct and reimagine business models embedded within financial services. Entrepreneurial endeavours to this end are diverse. Indeed, the propensity toward complexity is considerable, bridging a range of financial services, markets, innovations, industry participants, infrastructures, and technologies. This study aims to improve comprehension of the global fintech landscape. It is based on the analysis of start-...
• The Rise of the Promoters: User Classes and Contribution Patterns in Enterprise Social Media AI翻译
  作者：Bulgurcu, Burcu; Van Osch, Wietske; (Jerry) Kane, Gerald C.
  作者单位：Boston College; Michigan State University
  摘要：The proliferation of enterprise social media (ESM) has created opportunities for employees to self-organize around common goals or interests. However, little is known about the different user classes that exist in ESM and the factors that drive contributions to ESM communities. Using multilevel analyses of secondary data from the ESM of a global organization, we find that (1) although ESM communities reflect a core-periphery structure similar to that identified in other forms of online communi...