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An examination of behavioral linkages across ICT choice dimensions: copula modeling of telecommuting and teleshopping choice behavior

机译:跨ICT选择维度的行为联系研究:远程办公和远程购物选择行为的关联模型

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This study jointly examines two distinct ICT choice behaviors-telecommuting and teleshopping-along two different dimensions: adoption and frequency. The linkages between two adoption models, or the two frequency models, are obtained by adopting a flexible copula-based approach that accommodates dependency (results from unobserved factors) between individual's telecommuting and teleshopping adoption (or frequency) choices. Rather than preimpose restrictive assumptions regarding dependence, a copulabased approach affords unique flexibility in testing different forms of dependence between telecommuting and teleshopping choice behavior. As a result, the most appropriate form of dependence is obtained. This study relies on data drawn from the 2009 National Household Travel Survey, which provides several different individual/household demographics, work/ commute-related factors, attitudinal/behavioral characteristics, and residential neighborhood variables. Several intriguing findings arise from the joint modeling of telecommuting and teleshopping frequency choices as well as the analysis of the interrelationships between adoption and frequency choices for a specific ICT behavior. The positive and asymmetric form of the best model data fit (obtained both for adoption and for frequency models) also demonstrates the clear presence of unobserved factors influencing the underlying process of telecommuting and teleshopping behavior. To our knowledge, this is the first study examining the behavioral linkages between telecommuting and teleshopping choice behavior using the flexible copula modeling approach.
机译:这项研究共同研究了两种截然不同的ICT选择行为-通勤和电话购物-以及两个不同的方面:采用和频率。两种采用模型或两种频率模型之间的联系是通过采用基于copula的灵活方法来实现的,该方法适应了个人的远程上下班和远程购物采用(或频率)选择之间的依赖性(来自未观察到的因素的结果)。基于copula的方法并没有提出关于依赖的限制性假设,而是在测试远程通勤和远程购物选择行为之间的不同形式的依赖时提供了独特的灵活性。结果,获得了最合适的依赖形式。这项研究基于从2009年全国家庭旅行调查中获得的数据,该调查提供了几种不同的个人/家庭人口统计数据,与工作/通勤相关的因素,态度/行为特征以及居民区变量。通勤和电话购物频率选择的联合建模以及对特定ICT行为的采用和频率选择之间的相互关系的分析得出了一些有趣的发现。最佳模型数据拟合的正向和非对称形式(通过采用和频率模型均获得)也证明了存在明显的因素,这些因素会影响远程办公和远程购物行为的基本过程。据我们所知,这是首次使用灵活的copula建模方法研究远程办公和远程购物选择行为之间的行为联系的研究。

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