2011
DOI: 10.1111/j.1540-5915.2011.00325.x
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An Information-Processing Approach for Evaluating In-Store Retail Operational Design Strategies

Abstract: We develop a model to evaluate retail store operational design strategies using an information-processing perspective of organizational design. We propose that three model constructs pertaining to in-store shopper task uncertainty-the product mix complexity, the service production complexity, and the product mix changeover-create shopper encounter information requirements (IR). These requirements can be met using specific retail service operational design choices for managing shopper encounters, namely, design… Show more

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Cited by 17 publications
(18 citation statements)
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References 75 publications
(160 reference statements)
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“…We correlated the objective data to the corresponding item in the measurement scale for delivery performance, finding a statistically significant correlation ( r = 0.61, p < 0.01). This correlation is equal to, if not larger than, those reported in previously published research comparing perceptual and objective performance measures (e.g., Randall & Ulrich, ; Devaraj, Hollingworth, & Schroeder, ; Boyer & Frohlich, ; Menor & Roth, ; Fugate, Stank, & Mentzer, ; Kristal, Huang, & Roth, ; Shockley, Roth, & Fredendall, ). We conclude therefore that the measurement scale for delivery performance also has criterion validity.…”
Section: Methodssupporting
confidence: 58%
“…We correlated the objective data to the corresponding item in the measurement scale for delivery performance, finding a statistically significant correlation ( r = 0.61, p < 0.01). This correlation is equal to, if not larger than, those reported in previously published research comparing perceptual and objective performance measures (e.g., Randall & Ulrich, ; Devaraj, Hollingworth, & Schroeder, ; Boyer & Frohlich, ; Menor & Roth, ; Fugate, Stank, & Mentzer, ; Kristal, Huang, & Roth, ; Shockley, Roth, & Fredendall, ). We conclude therefore that the measurement scale for delivery performance also has criterion validity.…”
Section: Methodssupporting
confidence: 58%
“…In addition to the customary tests of validity and reliability, we empirically examined the criterion validity of the dependent variable by computing the correlation between the survey measure of timeliness (i.e., the second item of delivery performance in Table ) and the objective on‐time delivery performance data (i.e., the average percentage of orders delivered on the promised delivery date). We obtained these data from 38 production processes (the average was 82 with the standard deviation of 19), and in that subsample, the correlation between the perceptual and the objective measures was .61 ( p < .001), which is equal or higher than in other studies where similar comparisons have been reported (e.g., Randall & Ulrich, ; Devaraj, Hollingworth, & Schroeder, ; Boyer & Frohlich, ; Menor & Roth, ; Fugate, Stank, & Mentzer, ; Kristal, Huang, & Roth, ; Shockley, Roth, & Fredendall, ).…”
Section: Methodsmentioning
confidence: 57%
“…This confusion can then result in difficulty for consumers when trying to select the products that best fit their needs, and thus lead to dissatisfaction (Chang and Chen 2009;Dellaert and Dabholkar 2009). In addition, prior product design studies also indicate that product complexity negatively affects customer satisfaction, because it results in an increase in the level of the consumer uncertainty regarding their purchasing decisions and the time and effort needed to eliminate this uncertainty (Orfi, Terpenny, and Sahin-Sariisik 2011;Shockley, Roth, and Fredendall 2011). Rijsdijk and Hultink (2007) also argued that the more complex a product is, the less likely that consumers will develop a clear understanding of its features and how they can take advantage of it, and this will, in turn, raise dissatisfaction.…”
Section: Product Complexitymentioning
confidence: 93%