Key Dimensions of E-commerce Service Quality and Its Relationships to Satisfaction and Loyalty

Evidence exists that one successful strategy to satisfy and retain customers is offering superior service quality. Motivated by the growing interest in e-commerce, we focus our research questions on identifying the key dimensions of e-commerce service quality and its relationships to customer satisfaction and loyalty. In exploring answers to our research questions a hypothesized model is proposed and empirically tested using a research survey with 370 online shoppers. Salient results include: (1) key dimensions of e-commerce service quality are website usability, information quality, reliability, responsiveness, assurance and personalization; (2) customer satisfaction is influenced mostly with the perception of reliability, while customer loyalty is affected by the perception of assurance; (3) customer retention is predicted by the customer satisfaction index. Results of the study contribute to the nascent body of research in e-service quality and offer unique insights for managers of online firms on how to manage the quality of their e-commerce e-service

Critical review of the e-loyalty literature: a purchase-centred framework

Over the last few years, the concept of online loyalty has been examined extensively in the literature, and it remains a topic of constant inquiry for both academics and marketing managers. The tremendous development of the Internet for both marketing and e-commerce settings, in conjunction with the growing desire of consumers to purchase online, has promoted two main outcomes: (a) increasing numbers of Business-to-Customer companies running businesses online and (b) the development of a variety of different e-loyalty research models. However, current research lacks a systematic review of the literature that provides a general conceptual framework on e-loyalty, which would help managers to understand their customers better, to take advantage of industry-related factors, and to improve their service quality. The present study is an attempt to critically synthesize results from multiple empirical studies on e-loyalty. Our findings illustrate that 62 instruments for measuring e-loyalty are currently in use, influenced predominantly by Zeithaml et al. (J Marketing. 1996;60(2):31-46) and Oliver (1997; Satisfaction: a behavioral perspective on the consumer. New York: McGraw Hill). Additionally, we propose a new general conceptual framework, which leads to antecedents dividing e-loyalty on the basis of the action of purchase into pre-purchase, during-purchase and after-purchase factors. To conclude, a number of managerial implementations are suggested in order to help marketing managers increase their customers’ e-loyalty by making crucial changes in each purchase stage

An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection

The biological immune system (BIS) is characterized by networks of cells, tissues, and organs communicating and working in synchronization. It also has the ability to learn, recognize, and remember, thus providing the solid foundation for the development of Artificial Immune System (AIS). Since the emergence of AIS, it has proved itself as an area of computational intelligence. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. The V-Detectors algorithm depends greatly on the random detectors generated in monitoring the status of a system. These randomly generated detectors suffer from not been able to adequately cover the non-self space, which diminishes the detection performance of the V-Detectors algorithm. This research therefore proposed CSDE-V-Detectors which entail the use of the hybridization of Cuckoo Search (CS) and Differential Evolution (DE) in optimizing the random detectors of the V-Detectors. The DE is integrated with CS at the population initialization by distributing the population linearly. This linear distribution gives the population a unique, stable, and progressive distribution process. Thus, each individual detector is characteristically different from the other detectors. CSDE capabilities of global search, and use of L´evy flight facilitates the effectiveness of the detector set in the search space. In comparison with V-Detectors, cuckoo search, differential evolution, support vector machine, artificial neural network, na¨ıve bayes, and k-NN, experimental results demonstrates that CSDE-V-Detectors outperforms other algorithms with an average detection rate of 95:30% on all the datasets. This signifies that CSDE-V-Detectors can efficiently attain highest detection rates and lowest false alarm rates for anomaly detection. Thus, the optimization of the randomly detectors of V-Detectors algorithm with CSDE is proficient and suitable for anomaly detection tasks

Integrating customer relationship management strategies in (B2C) e-commerce environments

Creating value and generating a total customer experience(TCE ) is important for E -Commerce in order to attract customers. However, with increasing competition in the marketplace, it is becoming increasingly difficult to retain customers. E-Commerce, therefore, should focus on continuously providing value to the customers to build long-term relationships and reduce customer defections. We have evaluated five E -Banking sites from the UK finance industry and have shown that an organisation whose Web site is usable in HCI terms (that satisfies the Web Design heuristics / E -Commerce guidelines) might not always generate a TCE . It is important that along with usability heuristics, customer relationship management (CRM) strategies are integrated into the design of E-Commerce sites. In this paper, we have applied the service quality (SERVQUAL ) framework from the relationship marketing literature for deriving customer relationship enhancing heuristics which can be integrated into the design of E -Commerce environments

An investigation into the relationship between customer relationship marketing and customer retention: superstore retailing context in Bangladesh

The context of this study is Bangladesh`s food retailing sector. The main purpose of this study is to investigate the relationship between Customer Relationship Marketing (CRM) and customer retention. The core aim of Relationship Marketing is to build long lasting mutually bonded relationships with customers and various other important stakeholders. The concept has attracted considerable attention among scholars in recent decades and has appeared in service marketing literature as a new marketing paradigm. The concept is critical to the success of any organisation as it has been an accepted phenomenon that maintains that existing customers are far easier to retain than is the process of acquiring new customers. In order to stay in business and cope with the challenging business dynamism, organisations are continuously searching for reliable and serviceable strategies to be employed in order to increase customer retention. However, there is a lack of consensus among researchers on the core antecedents of relationship marketing that can be used to achieve the above aims, especially while the concept is new in the context of organised retailing sectors in Bangladesh. In response, the study developed a conceptual framework of customer retention strategy which incorporates bonds, service quality and relational quality into one relationship model. The model establishes eleven hypotheses. A sample of 202 grocery food retail customers were selected in a random sample from four selected superstores. The results support hypothesized relationships built on the model. The findings indicate that service quality, trust, bond and customer satisfactions are vital for creating positive customer loyalty which in turn creates customer retentionPeer reviewedFinal Published versio

Measuring the effect of customer relationship management (CRM) components on the non financial performance of commercial banks: Egypt case

This paper presents customer relationship management (CRM) components as applied on the Egyptian Commercial Banks, examined from the bankers' point of view. Then, it intends to measure their effect on the level of customer satisfaction and loyalty from the customers’ point of view as examples of the non financial performance measures. The paper is quantitative in nature and consists of two different structured questionnaires using convenience/quota sampling. The first involved 180 employees in order to measure CRM applicability, and the second involved 270 customers to measure the level of customer satisfaction and loyalty and their effect on the Egyptian Commercial Banks' financial performance The findings show that the selected banks apply CRM components but the level of application differs from one bank to another. The results showed a significant positive relationship between CRM and customer satisfaction in the Egyptian Commercial Banks, when applying them together and not separately. In addition, there is a strong positive effect between customer satisfaction and loyalty which was reflected on the Commercial Banks' financial performance. The findings confirm the importance of studying and implementing CRM to achieve customer loyalty and improve the Egyptian Commercial Banks financial performance. Banks wishing to improve their relationships with customers need to focus on the CRM components to develop relevant and effective marketing strategies and tactics. The paper measures the CRM as a multidimensional construct as applied on the Egyptian Commercial Banks and relate it to the achievement of the ultimate goal of retaining customers to gaining a sustainable competitive advantage and achieve more profits

Boost Customer Loyalty With Online Support: The Case Of Mobile Telecomms Providers

The paper explores the effect of customer satisfaction with online supporting services on loyalty to providers of an offline core service. Supporting services are provided to customers before, during or after the purchase of a tangible or intangible core product, and have the purpose of enhancing or facilitating the use of this product. The Internet has the potential to dominate all other marketing channels when it comes to the interactive and personalized communication that is considered quintessential for supporting services. Our study shows that the quality of online supporting services powerfully affects satisfaction with the provider and customer loyalty through its effect on online value and enjoyment. Managerial implications are provided.marketing ;

How about integration: the impact of online activities on store satisfaction and loyalty

Although there has been widespread support for the concept of integrating the Internet with other channels, relatively little empirical research has been conducted in this area. This paper examines the effects of integrated online activities on customer perceptions, i.e., satisfaction and loyalty, as well as customer behavior, i.e., purchases. As this study focuses on a nontransaction site, the purchases only take place in the store. Through structural equation modeling, we test a model that determines the relationships between loyalty and satisfaction in two channels – the store and the web site –, as well as the antecedents of both store and site satisfaction. The results provide evidence for synergy effects between the store and the site. Site satisfaction and site loyalty are both positively and significantly related to their offline counterparts. Store loyalty and site loyalty are also positively and significantly related to each other, but the relationship between store satisfaction and site satisfaction is not significant. The online activities do not directly influence offline purchases, but there is an indirect effect via store loyalty. However, the magnitude of this effect is rather small.