Examining a key aspect of agency-to-business relationships:the effects of regulatory control on the satisfaction of regulated firms

This paper studies an overlooked, but highly important relationship, the relationship that exists between regulatory agencies (e.g., the EPA, OSHA, and the FDA) and the for-profit businesses they attempt to govern. Drawing on business-to-business control and satisfaction research, a framework is developed to understand how regulatory control influences the satisfaction levels of customer firms. Regulatory control is disaggregated into four distinct facets: the controlling agency, the rules and regulations of control, the processes used by the agency to apply the regulations, and sanctions. Each facet is hypothesized to have an effect on satisfaction. A regulator's administration of state food safety regulations provides the empirical context for testing the hypotheses. Results from a survey of 173 restaurants provide empirical support for the conceptual model. Most importantly, the study finds that the informal control process increases customer satisfaction, while the formal control process decreases customer satisfaction. We discuss how these and other findings may contribute to more effective agency-to-business relationships and ongoing research.

Response-based segmentation using Finite Mixture Partial Least Squares: theoretical foundations and an application to American Customer Satisfaction Index Data

When applying multivariate analysis techniques in information systems and social science disciplines, such as management information systems (MIS) and marketing, the assumption that the empirical data originate from a single homogeneous population is often unrealistic. When applying a causal modeling approach, such as partial least squares (PLS) path modeling, segmentation is a key issue in coping with the problem of heterogeneity in estimated cause-and-effect relationships. This chapter presents a new PLS path modeling approach which classifies units on the basis of the heterogeneity of the estimates in the inner model. If unobserved heterogeneity significantly affects the estimated path model relationships on the aggregate data level, the methodology will allow homogenous groups of observations to be created that exhibit distinctive path model estimates. The approach will, thus, provide differentiated analytical outcomes that permit more precise interpretations of each segment formed. An application on a large data set in an example of the American customer satisfaction index (ACSI) substantiates the methodology’s effectiveness in evaluating PLS path modeling results.

Evaluating service quality and customer satisfaction evaluation in an emerging markets

Developing economies offer tremendous potential for future growth and organizations appreciating these consumers’ requirements stand to reap considerable returns. However, compared with more developed economies published consumer studies are few. In particular, there is a dearth of service quality research and hardly any from Africa. Furthermore, the little available research tends to apply Western methodologies, which may not be entirely appropriate. This research investigates East African consumer perceptions of retail banking using an approach that takes account of the research context. Qualitative research was undertaken to define the relevant service attributes. Performance along these was then investigated through a survey with over 2000 respondents. Principal component analysis identifies 13 core service dimensions and multinomial logistic regression reveals which are the key drivers of customer satisfaction. Comparison of the results with studies from other regions confirms that established standardized research instruments are likely to miss or under-represent service attributes important in developing countries.

How employer and employee satisfaction affect customer satisfaction:an application to franchise services

In small-service settings, how do owner satisfaction, front-line employee satisfaction, and customer satisfaction relate to one another? The authors use generalized exchange theory (GET) to examine how satisfaction levels of these three constituents are reciprocated. The authors examine a European franchise system comprising 50 outlets, 933 employees, and 20,742 customers. Their results show two important findings. First, the effect of owner-franchisee's satisfaction on customer satisfaction is fully mediated by front-line employee satisfaction. Thus, managers of a service outlet can strongly impact the satisfaction and behavioral intentions of their customer base, even without direct contact with them. Second, the link between customer satisfaction and purchase intention is moderated by employee satisfaction at an outlet. The link between customer satisfaction and customer purchase intentions is almost twice as strong when employees are satisfied than when they are not. Thus, there is a "doublepositive effect:" not only does higher employee satisfaction at an outlet directly lead to higher customer satisfaction but it also indirectly strengthens the association between customer satisfaction and their repurchase intentions.

Dimensions of satisfaction in retail settings:a research note

Taking issue with the prevalent practice of measuring customer satisfaction with a single global measurement item, this article stresses the importance of measuring customer satisfaction through its underlying dimensions, especially in retail settings. Empirical results of a survey of 351 consumers demonstrate that (a) consumer satisfaction with retail stores has 6 key dimensions, (b) the suggested dimensions of retail satisfaction predict overall satisfaction, and (c) the dimensions of retail satisfaction have a greater effect on overall satisfaction than SERVQUAL dimensions. However, the predictive power of the dimensions of retail satisfaction is still fairly low. Implications for retail management as well as academic research are outlined.

The relationship between transformational leadership and customer-orientated boundary-spanning behaviours:examining the role of compassion

Customer-oriented boundary-spanning behaviours (COBSBs) are critical to the success of service organisations. Transformational leadership, with its emphasis on the social elements of the leader-subordinate dyad, is a likely antecedent to COBSBs. Similarly, the interpersonal nature of services suggests leader compassion could have a significant effect on the saliency of the relationship between transformational leadership and COBSBs. This paper reports on a study of the moderating effect of leader compassion on the relationship between transformational leadership and COBSBs (service delivery behaviours, internal influence and external representation). Transformational leadership and compassion both have significant and positive influences on COBSBs. However, compassion plays no moderating role. These findings are discussed and avenues for further research are proposed.

Understanding relationship marketing from the customer's perspective

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