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Internet Research - Research in the Area of Internet Research Reported from Curtin University of Technology
2011 AUG 22 - (VerticalNews.com) -- According to the authors of recent research from Perth, Australia, "The study examines SMEs' investment in B2B web sites and the relationship between organizational drivers such as adoption readiness and constraints and evaluation of investments. We investigate how these drivers influence the perception of B2B web site benefits and the effect a great understanding of issues has on stakeholder satisfaction in the investment. ...read more
Internet Research - Research by S. Menon and Colleagues in Internet Research Provides New Insights
2011 AUG 22 - (VerticalNews.com) -- According to the authors of recent research published in the journal Internet Research, "This paper focuses on two prominent theoretically grounded approaches to this subject matter, namely disruptive innovations and generativity of the internet This paper seeks to explicitly link these conceptual approaches in order to contribute to the epistemology on the development of ICTs. Design/methodology/approach - This paper is structured in three primary and functional sections. ...read more
Internet Research - New Internet Research Research from C.C. Shen and Colleagues Discussed
2011 JUL 18 - (VerticalNews.com) -- According to the authors of a study from Chiayi, Taiwan, "This study seeks to investigate the signals on which consumers may rely to reduce the problems of information asymmetry on an online auction site. The research aims to develop and test based on information signaling theory." "It classifies signals from auction web pages into three types: seller reputation, product condition, and argument quality. To understand how the signals affect consumers' online buying decisions, the study intends to test the impacts of these signals on the auction outcome variables: number of bids, auction success, and willingness to pay. Design/methodology/approach - The paper employs an empirical test with real observation data comprised of 5,013 samples coded from the eBay auction site in the USA. Ordinary least squares (OLS) regression is used to predict the effect of web page signals on the number of bids, logistic regression to determine which web page signals contribute to auction success, and Tobit maximum likelihood estimation to estimate the impact of web page signals on willingness to pay. Results show that, in addition to the seller's reputation, signals like product condition and the quality of the sellers' arguments on the web page are significantly related to the three auction outcomes. Buyers tend to rely on these signals to resolve information asymmetry in online auction transactions. Originality/value - Past studies have found that the seller's feedback score is central to a positive online auction outcome. This paper is the first to classify web page signals comprehensively and to investigate their impacts on online auction outcomes using real transaction data. The findings provide substantial evidence and implications for both academic research and practitioners in online auctions," wrote C.C. Shen and colleagues ...read more
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