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      Retail web site interactivity : How does it influence customer satisfaction and behavioral intentions?

      ,
      International Journal of Retail & Distribution Management
      Emerald

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          Abstract

          Purpose

          Since web sites are collection of several features, this paper examines web site interactivity – objective and subjective – at the feature level in terms of three underlying dimensions. The purpose of this paper is to understand the distinction between objective and subjective interactivity and to investigate their effects on customer satisfaction, behavioral intention, and telepresence.

          Design/methodology/approach

          An experimental approach is used to study online shopping behavior from two retail web sites created to represent high and low interactivity. Student subjects, recruited from US universities, are given a task to purchase a product/gift certificate within a given budget. Analysis of variance and Lisrel are used to analyze the effects of interactivity.

          Findings

          Empirical results support objective and subjective interactivity as distinct constructs and while both positively impact online shoppers' satisfaction and behavioral intentions, only subjective interactivity influences telepresence. The Lisrel analysis also indicates that telepresence directly affects behavioral intentions and satisfaction does not fully mediate its impact.

          Research limitations/implications

          The direct relationships between objective and subjective interactivity is not examined in this paper and this relationship is likely to be more complex in the external world than can be included in an experimental setting. However, by being able to design each web site feature along the three dimensions of interactivity, it is possible to more effectively demonstrate the impact of objective and subjective interactivity as well as the merits of feature‐level interactivity.

          Practical implications

          If interactivity is viewed only at the overall level, then it is difficult to decide how to build an interactive web site. By employing the underlying theoretical dimensions of interactivity at the feature level, this paper addresses challenges faced in the design of web sites, particularly issues regarding whether and how to make a feature interactive.

          Originality/value

          Despite the growing attention to interactivity, there is limited understanding of its influences and impacts. The distinction between objective and subjective interactivity is able to shed deeper insights into the relationship between interactivity and satisfaction. This is one of the first such studies to investigate the effects of interactivity on telepresence, satisfaction, and behavioral intentions, key outcome measures in online retailing.

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          Most cited references36

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            On the evaluation of structural equation models

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              Comparative fit indexes in structural models.

              P. Bentler (1990)
              Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.
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                Author and article information

                Journal
                International Journal of Retail & Distribution Management
                Emerald
                0959-0552
                September 04 2009
                September 04 2009
                : 37
                : 10
                : 821-838
                Article
                10.1108/09590550910988011
                99b9a173-b88a-47df-abcf-bc6bb091d833
                © 2009

                https://www.emerald.com/insight/site-policies

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