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作者:Zwass, Vladimir
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作者:Clemons, Eric K.; Wilson, Josh; Matt, Christian; Hess, Thomas; Ren, Fei; Jin, Fujie; Koh, Noi Sian
作者单位:University of Pennsylvania; University of Pennsylvania; University of Bern; University of Pennsylvania; University of Munich; University of Munich; University of Munich; Peking University; Indiana University System; IU Kelley School of Business; Indiana University Bloomington; Nanyang Polytechnic
摘要:Trust underlies much of the online shopping behavior. We compare trust in online shopping in four countries: (1) the United States, a mature online market; (2) Germany; (3) China, the fastest growing online market, where consumers are plagued by counterfeits, forgeries, and spoiled or defective items; and (4) Singapore. We performed laboratory experiments in all four countries. We used three experimental treatments: (1) no assurances; (2) promises of product quality and authenticity; and (3) p...
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作者:Lai, Vincent Siuking; Lai, Fujun; Lowry, Paul Benjamin
作者单位:Chinese University of Hong Kong; Soochow University - China; University of Southern Mississippi; University of Hong Kong
摘要:Enterprise resource planning (ERP) software is a platform for innovation with high failure rates due to its complexity. In China, failure rates of ERP are also high, with key differences between China and Western countries in terms of development, cultural, and organizational structure. Even when Chinese firms successfully adopt ERP, many fail to assimilate ERP and consequently never experience the full benefits of the innovation. The purpose of this study is to examine the predictors of adopt...
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作者:Li, Weifeng; Chen, Hsinchun; Nunamaker, Jay F., Jr.
作者单位:University of Arizona; University of Arizona; University of Arizona; University of Arizona; University of Arizona
摘要:The past few years have witnessed millions of credit/debit cards flowing through the underground economy and ultimately causing significant financial loss. Examining key underground economy sellers has both practical and academic significance for cybercrime forensics and criminology research. Drawing on social media analytics, we have developed the AZSecure text mining system for identifying and profiling key sellers. The system identifies sellers using sentiment analysis of customer reviews a...
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作者:Hu, Paul Jen-Hwa; Hu, Han-Fen; Wei, Chih-Ping; Hsu, Pei-Fang
作者单位:Utah System of Higher Education; University of Utah; Nevada System of Higher Education (NSHE); University of Nevada Las Vegas; National Taiwan University; National Tsing Hua University
摘要:This study examines key drivers of firms' green information technology (IT) practices. A hierarchical view, premised in institutional theory and competitive dynamics, leads to a model that explains firms' practices. This model includes factors that pertain to the environment (environmental awareness and government regulations), industry (industry norms and competitors' green practices), and firm (customers' and equity holders' attitudes and internal readiness) levels. Survey data collected fro...
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作者:Cheng, Xusen; Fu, Shixuan; Druckenmiller, Douglas
作者单位:University of International Business & Economics; University of International Business & Economics; Western Illinois University
摘要:Trust is frequently investigated as an indicator of a mutual relationship. Trust is especially important for globally distributed collaboration in light of the lack of face-to-face interactions. As the perception of trust is a dynamic process, however, little research is conducted measuring trust development. Whether facilitation intervention is beneficial for trust development is also unknown. In order to fill the research gaps, we followed a design science approach and incorporated collabora...
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作者:Giboney, Justin Scott; Briggs, Robert O.; Nunamaker, Jay F., Jr.
作者单位:State University of New York (SUNY) System; University at Albany, SUNY; California State University System; San Diego State University; University of Arizona; University of Arizona; University of Arizona
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作者:Dawson, Gregory S.; Denford, James S.; Williams, Clay K.; Preston, David; Desouza, Kevin C.
作者单位:Arizona State University; Arizona State University-Tempe; Arizona State University; Arizona State University-Tempe; Royal Military College - Canada; Royal Military College - Canada; Southern Illinois University System; Southern Illinois University Edwardsville; Texas Christian University; Arizona State University; Arizona State University-Tempe; Brookings Institution
摘要:In the private sector, research on information technology (IT) governance has frequently applied the classical view of agency theory and focused on the controlling role played by the board of directors in constraining a potentially opportunistic manager/agent. However, in the public sector, the board of directors does not exist and there may be less need to focus on the controlling aspect of governance and more need to focus on the politically challenging distribution of state resources. In th...
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作者:Lee, Gene Moo; Qiu, Liangfei; Whinston, Andrew B.
作者单位:University of Texas System; University of Texas Arlington; State University System of Florida; University of Florida; University of Texas System; University of Texas Austin
摘要:This article studies the strategic network formation in a location-based social network. We build an empirical model of social link creation that incorporates individual characteristics and pairwise user similarities. Specifically, we define four user proximity measures from biography, geography, mobility, and short messages. To construct proximity from unstructured text information, we build topic models using Latent Dirichlet Allocation. Using Gowalla data with 385,306 users, 3 million locat...
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作者:Ghiassi, Manoochehr; Zimbra, David; Lee, Sean
作者单位:Santa Clara University; Santa Clara University; Santa Clara University
摘要:Social media communications offer valuable feedback to firms about their brands. We present a targeted approach to Twitter sentiment analysis for brands using supervised feature engineering and the dynamic architecture for artificial neural networks. The proposed approach addresses challenges associated with the unique characteristics of the Twitter language and brand-related tweet sentiment class distribution. We demonstrate its effectiveness on Twitter data sets related to two distinctive br...