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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/66686


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/66686


    Title: Information initiatives of mobile retailers: A regression analysis of zero-truncated count data with underdispersion
    Authors: 莊皓鈞
    Chou, Yen-Chun;Chuang, Howard Hao-Chun;Shao, Benjamin B.M.
    Contributors: 資管系
    Keywords: mobile retailing;count data;binomial;Poisson;Conway–Maxwell–Poisson;Consul`s generalized Poisson
    Date: 2014.03
    Issue Date: 2014-06-13 11:59:28 (UTC+8)
    Abstract: Our paper presents an empirical analysis of the association between firm attributes in electronic retailing and the adoption of information initiatives in mobile retailing. In our attempt to analyze the collected data, we find that the count of information initiatives exhibits underdispersion. Also, zero-truncation arises from our study design. To tackle the two issues, we test four zero-truncated (ZT) count data models—binomial, Poisson, Conway–Maxwell–Poisson, and Consul`s generalized Poisson. We observe that the ZT Poisson model has a much inferior fit when compared with the other three models. Interestingly, even though the ZT binomial distribution is the only model that explicitly takes into account the finite range of our count variable, it is still outperformed by the other two Poisson mixtures that turn out to be good approximations. Further, despite the rising popularity of the Conway–Maxwell–Poisson distribution in recent literature, the ZT Consul`s generalized Poisson distribution shows the best fit among all candidate models and suggests support for one hypothesis. Because underdispersion is rarely addressed in IT and electronic commerce research, our study aims to encourage empirical researchers to adopt a flexible regression model in order to make a robust assessment on the impact of explanatory variables. Copyright © 2014 John Wiley & Sons, Ltd.
    Relation: Applied Stochastic Models in Business & Industry, Article first published online: 24 APR 2014
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1002/asmb.2037
    DOI: 10.1002/asmb.2037
    Appears in Collections:[資訊管理學系] 期刊論文

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