A tri-dimensional approach for auditing brand loyalty

Over the past twenty years brand loyalty has been an important topic for both marketing practitioners and academics. While practitioners have produced proprietary brand loyalty audit models, there has been little academic research to make transparent the methodology that underpins these audits and to enable practitioners to understand, develop and conduct their own audits. In this paper, we propose a framework for a brand loyalty audit that uses a tri-dimensional approach to brand loyalty, which includes behavioural loyalty and the two components of attitudinal loyalty: emotional and cognitive loyalty. In allowing for different levels and intensity of brand loyalty, this tri-dimensional approach is important from a managerial perspective. It means that loyalty strategies that arise from a brand audit can be made more effective by targeting the market segments that demonstrate the most appropriate combination of brand loyalty components. We propose a matrix with three dimensions (emotional, cognitive and behavioural loyalty) and two levels (high and low loyalty) to facilitate a brand loyalty audit. To demonstrate this matrix, we use the example of financial services, in particular a rewards-based credit card

E-commerce ethics and its impact on buyer repurchase intentions and loyalty: an empirical study of small and medium Egyptian businesses

The theoretical understanding of e-commerce has received much attention over the years; however, relatively little focus has been directed towards e-commerce ethics, especially the SMEs B2B e-commerce aspect. Therefore, the purpose of this paper is to develop and empirically test a framework that explains the impact of SMEs B2B e-commerce ethics on buyer repurchase intentions and loyalty. Using SEM to analyse the data collected from a sample of SME e-commerce firms in Egypt, the results indicate that buyers’ perceptions of supplier ethics construct is composed of six dimensions (security, non-deception, fulfilment/reliability, service recovery, shared value, and communication) and strongly predictive of online buyer repurchase intentions and loyalty. Furthermore, our results also show that reliability/fulfilment and non-deception are the most effective relationship-building dimensions. In addition, relationship quality has a positive effect on buyer repurchase intentions and loyalty. The results offer important implications for B2B e-commerce and are likely to stimulate further research in the area of relationship marketing

Relationship quality as a predictor of B2B customer loyalty

This study aims to provide a picture of how relationship quality can influence customer loyalty in the business-to-business (B2B) context. Building on prior research, we propose relationship quality as a higher construct comprising trust, commitment, satisfaction and service quality. We believe that these dimensions of relationship quality can reasonably explain the influence of overall relationship quality on customer loyalty. In addition, this study provides more insightful explanations of the influence of relationship quality on customer loyalty through two levels of relationship quality: relationship quality with employees of the supplier and relationship quality with the supplier itself as a whole. Aiming to fully explain the concept of customer loyalty, we follow the composite loyalty approach providing both behavioral aspects (purchase intentions) and attitudinal loyalty. We seek to address three main research issues: Does relationship quality influence both aspects of customer loyalty? If so, which relationship quality dimensions influence each of the components of customer loyalty? And which level of relationship quality (employee level versus organizational level) has more influence on customer loyalty? This study uses the courier delivery service context in Australia and targets Australian Small to Medium Enterprises (SMEs). We selected mail survey and online survey as the two methods of data collection, and together they received 306 usable respondents. Structural equation modeling yields insights into the influence of the dimensions and levels of relationship quality on customer loyalty. Results show that all four dimensions of relationship quality influence attitudinal loyalty, however, only satisfaction and perceived service quality influence behavioral loyalty (purchase intentions). Most remarkably, results indicate that only the organizational level of relationship quality influences customer loyalty. The employee level of relationship quality does not play a significant in influencing B2B customer loyalty in this study. © 2006 Elsevier Inc. All rights reserved

Customer churn prediction in B2B contexts

While business-to-customer (B2C) companies, in the telecom sector for instance, have been making use of customer churn prediction for many years, churn prediction in the business-to-business (B2B) domain receives much less attention in existing literature. Nevertheless, B2B-specific characteristics, such as a lower number of customers with much higher transactional values, indicate the importance of identifying potentially churning customers. To achieve this, we implemented a prediction model for customer churn within a B2B software product and derived a model based on the results. For one, we present an approach that enables the mapping of customer- and end-user-data based on “customer phases” which allows the prediction model to take all critical influencing factors into consideration. In addition to that, we introduce a B2B customer churn prediction process based on the proposed data mapping

An empirical analysis of the retention of dissatisfied business services customers using structural equation modelling

This study extends the body of literature concerning service switching, complaint handling, dependence and commitment by investigating why dissatisfied B2B customers do not switch service providers. Specifically, it develops and tests a social exchange-based model examining how dissatisfied, but behaviourally loyal, customers act in terms of their repurchase intentions. A conceptual model, specifying a set of hypothesised relationships between dimensions of switching costs, interpersonal relationships, dimensions of complaint handling, satisfaction with complaint handling, attractiveness of alternatives, dependence, calculative commitment and repurchase intentions, was examined using AMOS 17.0 on a sample of 376 business directors/managers from responding organisations. The results show that satisfaction with complaint handling, benefit-loss costs, dependence and calculative commitment significantly increase customers’ repurchase intentions. The findings also indicate that dependence, interpersonal relationships and specific types of switching costs influence customers’ calculative commitment, and the latter influences intentions to repurchase services. The study builds on the Investment Model by including justice components, and examines the effects of different types of antecedents on calculative commitment that have previously not been examined

The Passive Shopping Stage: Keeping in Mind Brand Encounters

In marketing practice, brand managers have to split their budgets between brand advertising efforts and sales promotions. This is a tough decision and is based on several factors including the type of product and the preferences of the target consumer. In this study, the consumer purchase decision making process is conceptualized as a continuum from a passive shopping stage to an active one. Advertising messages work during the passive stage while promotion messages work during the active one. Utilizing panel data obtained from respondents in five European countries, multiple product categories were examined to identify whether pre-purchase brand attitudes determine consumer purchase decision reliance on either passive or active stage brand messages. The author investigated whether patterns hold across countries and product categories. The study also examined to what extent reliance on passive stage messages in a product category is affected by either the aggregate satisfaction or loyalty with the brands available on the market in that category