Antecedents of Customer Loyalty in the Online Shopping Environment

Literature has stressed the importance of customer retention (loyalty) as it is considered to be a vital source in attaining not only competitive advantage but also improved business performance. A number of studies on online shopping behavior have indirectly related customer satisfaction to repurchase intention. But very few studies have explicitly studied the relationship between customer satisfaction and customer loyalty in the online environment. However, recently researchers have argued that customer satisfaction may not be a good indicator of customer loyalty and suggested that perceived value may be a better predictor. In other words, “distinct value propositions” could be used to develop customer loyalty. Therefore, in this paper, we study the relationship between perceived value (developed via web technologies) and customer loyalty. We propose that relational benefits factors formulate the “distinct value propositions” (perceived value) needed to generate customer loyalty in the online environment

Online Customer Experience Leads to Loyalty via Customer Engagement: Moderating Role of Value Co-creation

With the increasing growth of online shopping, businesses are intertwining to establish new shopping antecedents. Customer experience has steadily become the most important source of retailers’ long-term competitive advantage via difference. To preserve long-term and sustained consumer loyalty, retailers must continually improve the customer experiences. This study presents a framework for online retailing in a digital environment called the Online Customer Experience-Engagement Context model in the presence of value co-creation (VCC). Data was gathered from 189 people who purchased products online. For additional analysis, testing the hypothesis, and model construction, SPSS 26 and Smart-PLS were used. The data was then evaluated further using descriptive statistics, path analysis, measurement, and structural model. The findings show that the online customer experience (measured as shopping environment, shopping procedure, staff service experience, and product experience) substantially influenced customer engagement, which improved customer loyalty. The VCC strengthened the link between online customer experience and customer engagement. It suggests that including consumers in co-creating a delightful online customer experience from time to time may be a valuable strategy for online retailers to increase customer engagement and loyalty. To create an overarching outcome, information integration theory (IIT), multi-attribute utility theory (MAUT), and the attitude-behavior-context theory (ABC) theories are converged to explain the proposed model in the study

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

What drives consumers' e-loyalty to airlines web site? Conceptual framework and managerial implications

This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure continuance intentions of online shopping for airlines web sites. The sample respondent 465online users in Saudi Arabia. A structural equation model confirms model fit. Perceived usefulness, enjoyment, social pressure, and loyalty incentives are determinants of online flight booking continuance in Saudi Arabia. This research moves beyond online booking intentions and includes factors affecting online booking continuance. The research model explains 53% of the intention to continue booking using airlines web sites

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.

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

EXPERIENTIAL VALUE: A HIERARCHICAL MODEL, THE IMPACT ON E-LOYALTY AND A CUSTOMER TYPOLOGY

The main objective of this study is to empirically test a fourth-order hierarchical model of experiential value in an online book and CD setting. In addition, we provide empirical evidence for the role of hedonic and utilitarian value components in creating attitudinal and behavioral loyalty. Finally, we develop an online customer typology, based on the underlying value sources. Based on a sample of 190 visitors of online book and CD retailers, we used PLS to test a third and fourth order hierarchical model of experiential value, emphasizing a hedonic (intrinsic) and utilitarian (extrinsic) value component and the existence of the holistic concept of experiential value. Our results demonstrate that experiential value consists of the third order components hedonic (intrinsic) and utilitarian (extrinsic) value. Both value aspects impact attitudinal loyalty ultimately leading to behavioral loyalty which is also directly affected by utilitarian value. Finally, a nonhierarchical (k-means) cluster analysis identified four segments of online visitors: hedonists, utilitarians, active negativists, and reactive positivists.marketing ;

Investigating the relationship of brand experience and loyalty: A study of luxury brand in Thailand

The concept of 'brand experience' has evolved as an imperative arena of study in the marketing discipline. Although the importance and the concept of experience have been adapted in marketing such as customer experience, consumption experience and so on, the explanations of brand experiences have remained vague and absent a thorough theoretical foundation. This research aims to understand the concept of 'brand experience' and its impact of consumer behaviour (loyalty) direct or indirect through brand personality, satisfaction or [and] brand trust in the luxury brand context (Thailand). This research is carried out in one stage 'quantitative'. Furthermore the research data will be collected based on distributing survey questionnaire. Among of 400 Thai citizen samples will be surveyed to measure a modify framework from (Brakus et al, 2009). The result will provide meaningful information in both academic research and marketing practice. Furthermore, it will be presented the prediction of consumer behaviour via brand experience. Moreover, it guides marketers to various marketing strategy option such as experiential marketing or traditional marketing

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

Psychological elements explaining the consumer's adoption and use of a website recommendation system: A theoretical framework proposal

The purpose of this paper is to understand, with an emphasis on the psychological perspective of the research problem, the consumer's adoption and use of a certain web site recommendation system as well as the main psychological outcomes involved. The approach takes the form of theoretical modelling. Findings: A conceptual model is proposed and discussed. A total of 20 research propositions are theoretically analyzed and justified. Research limitations/implications: The theoretical discussion developed here is not empirically validated. This represents an opportunity for future research. Practical implications: The ideas extracted from the discussion of the conceptual model should be a help for recommendation systems designers and web site managers, so that they may be more aware, when working with such systems, of the psychological process consumers undergo when interacting with them. In this regard, numerous practical reflections and suggestions are presented