Logistic Service Performance Sample Clauses

Logistic Service Performance. Theoretical and empirical studies by Xxxxxxx et al. (1999) and Xxxxxxx et al. (2001) sought to further develop the logistic service quality research by conceptualizing it as a broader construct encompassing Xxxxxxxxx, Xxxxxxx, and Xxxx’s (1997) physical distribution service technical/outcome dimensions. Here we are using the physical order condition construct generally pertaining to accurate and safe delivery (Xxxxx and Xxxxxxx, 1991) of the ordered products and we judge its impact on relational norms together with time duration as our understanding is that with the consistently good performance of the service quality, the relational norms will increase over time. In the context of our study, this is a very important variable as it determines as it is measuring the physical distribution characteristics of the deliveries from the wholesaler to the retailer. The further details have been discussed in the chapter of literature review. In the perspective of Pakistan, logistic service or order condition is very crucial as the modes of transportation are not very developed and means of communication are not up to the mark, which make it exciting to study the contingent role of quality of logistic service rendered.

Logistic Service Performance. Theoretical and empirical studies by Xxxxxxx et al. (1999) and Xxxxxxx et al. (2001) sought to further develop research by conceptualizing logistic service performance as a broader construct encompassing Bienstock, Xxxxxxx, and Xxxx’s physical distribution service technical/outcome dimensions. While, measuring performance of logistic service quality, we used multi item scale that reflects the dimensions of logistic service quality construct for this study. We used a 7-point Likert scale (ranging from 1= Strongly Disagree to 7= Strongly Agree) to describe every construct within logistic service. Logistic service performance was measured by 15 items and the unrevised scale shown high internal consistency with a value of cronbach’s alpha 0.816. The 15 items were then factor analyzed and the principal component varimax solution assigned 5 items to the first factor. Table 5-2: Logistic service Performance LSP25 Orders shipped in right quantity .610 .521 LSP31 Availability of technical support .669 .488 LSP32 Damage rarely occur as a result of transport .699 .452 LSP33 Protective Packaging .711 .647 LSP34 Undamaged Delivery .792 .497 Variance Explained: 52.73 % Eigen Value : 3.16 Cronbach’s alpha : 0.816

Logistic Service Performance. In addition to the above mentioned variables we used the retailers’ purchases from the wholesaler, Credit facility extended by the wholesaler, relationship duration and the interaction effects of relationship duration with the logistic service performance to be included in our model. 6 Data Analysis and Hypothesis Testing