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

Evaluating trust in electronic commerce : a study based on the information provided on merchants' websites

Lack of trust has been identified as a major problem hampering the growth of Electronic Commerce (EC). It is reported by many studies that a large number of online shoppers abandon their transactions because they do not trust the website when they are asked to provide personal information. To support trust, we developed an information framework model based on research on EC trust. The model is based on the information a consumer expects to find on an EC website and that is shown from the literature to increase his/her trust towards online merchants. An information extraction system is then developed to help the user find this information. In this paper, we present the development of the information extraction system and its evaluation. This is then followed by a study looking at the use of the identified variables on a sample of EC websites

Exploring the neural correlates of e-Assurance and multi-faced risk in e-Commerce

El comercio electrónico ha permitido a multitud de pequeñas empresas exponer sus productos y aumentar su público objetivo potencial. Pese a la relativa facilidad de introducirse en este mercado, la mayor dificultad estriba en eliminar las barreras que limitan a los consumidores comprar online. Una de las vías que poseen mayor potencial para aumentar la confianza online y reducir el riesgo percibido es dotar a su web de señales de confianza, entre las que destacan los certificados externos, ratings de consumidores y políticas de privacidad. Este estudio precisamente usa una técnica neurocientífica (resonancia magnética funcional) junto a cuestionarios con el propósito de esclarecer objetivamente el procesamiento neurológico de esas tres señales de seguridad online. Además, usando estas nuevas herramientas, pretende dilucidar la debatida dimensionalidad del riesgo percibido. Los resultados aconsejarán a comercios online la señal más útil a incluir en sus webs y se concretarán las dimensiones del riesgo percibido.E-commerce has allowed many small firms sell their products and broaden their target. Despite the relative ease in which vendors enter this marketplace, the strongest difficulty is to decrease barriers which discourage online purchases. One of the most useful ways to increase consumer online trust and reduce perceived risk is creating trust mechanisms in web sites, such as seals of approval, consumer ratings and privacy policies. Specifically, this study applies a neuroscientific tool (functional magnetic resonance imaging- fMRI-) together with questionnaires with the aim to clear up the neural processing of those trust signals (e-assurances). Furthermore, using fMRI, we explore the “under-debated” dimensionality of perceived risk. The findings will advise online retailers with the most useful e-assurance to include in their websites as well as will specify the dimensions of perceived risk

Development of an intelligent e-commerce assurance model to promote trust in online shopping environment

Electronic commerce (e-commerce) markets provide benefits for both buyers and sellers; however, because of cyber security risks consumers are reluctant to transact online. Trust in e-commerce is paramount for adoption. Trust as a subject for research has been a term considered in depth by numerous researchers in various fields of study, including psychology and information technology. Various models have been developed in e-commerce to alleviate consumer fears, thus promoting trust in online environments. Third-party web seals and online scanning tools are some of the existing models used in e-commerce environments, but they have some deficiencies, e.g. failure to incorporate compliance, which need to be addressed. This research proposes an e-commerce assurance model for safe online shopping. The machine learning model is called the Page ranking analytical hierarchy process (PRAHP). PRAHP builds complementary strengths of the analytical hierarchy process (AHP) and Page ranking (PR) techniques to evaluate the trustworthiness of web attributes. The attributes that are assessed are Adaptive legislation, Adaptive International Organisation for Standardisation Standards, Availability, Policy and Advanced Security login. The attributes were selected based on the literature reviewed from accredited journals and some of the reputable e-commerce websites. PRAHP’s paradigms were evaluated extensively through detailed experiments on business-to-business, business-to-consumer, cloud-based and general e-commerce websites. The results of the assessments were validated by customer inputs regarding the website. The reliability and robustness of PRAHP was tested by varying the damping factor and the inbound links. In all the experiments, the results revealed that the model provides reliable results to guide customers in making informed purchasing decisions. The research also reveals hidden e-commerce topics that have not received attention, which generates knowledge and opens research questions for future researchers. These ultimately made significant contributions in e-commerce assurance, in areas such as security and compliance through the fusing of AHP and PR, integrated into a decision table for alleviating trustworthiness anxiety in various e-commerce transacting partners, e-commerce platforms and markets.College of Engineering, Science and TechnologyD. Phil. Information System

EXPLORING CUSTOMERS\u27 POST-ADOPTION PERCEPTIONS: A STUDY ON TRUST, COMMITMENT AND RELATED CONSTRUCTS IN B2C ONLINE SERVICE CONTEXT

Trust has shown to be an important factor both in the adoption of e-commerce but also in ongoing relationships between buyers and sellers. Information systems literature has discussed trust extensively, yet traditionally mostly focusing on the adoption phase. However, signs of increasing interest to post-adoptive phenomena, such as customer loyalty, can be seen in the recent IS and e-commerce literature. Encouraging customers to continue the relationship after the adoption has been widely seen vital for e-businesses. This holds especially true with B2C online services where the relationships are largely based on series of transactions and interactions. The paper presents a research model in which structural assurance and online self-efficacy are viewed as the antecedents of trust, whereas trust and switching costs are investigated as the determinants of commitment. We empirically investigate a sample of active users of online services and use structural equation modeling to analyze the data. The key findings are: 1. perceived structural assurance plays an important role also after the adoption, 2. online self-efficacy was notified to be a determinant of trust, and 3. switching costs are a determinant of commitment

The Customer-Centered B2C Literature through the Lens of Activity Theory: A Review and Research Agenda

A multitude of published research studies investigate the B2C phenomenon from the customer point of view. At this point, making sense of such a large number of studies is a difficult task. The aim of this paper is to organize the literature to provide a clear depiction of what we know and what we don\u27t know about it in order to identify specific areas where future research efforts are needed. A review of the B2C literature of the past seven years yielded 115 papers investigating the phenomenon from the user/customer perspective, 74 of these were empirical. This literature is organized according to the Activity Theory framework, allowing for an enhanced understanding of the phenomenon through a social context perspective. Future research directions are identified and discussed