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.

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

Antecedents of acceptance of social networking sites in retail franchise and restaurant businesses

The paper examines the antecedents of acceptance of social networking sites in retail franchise and restaurant businesses. The success of retail franchise and restaurant business oper-ators via social networking sites depends not only on organiza-tional benefits but also on their behavioral intentions of using it. Three hundred and twenty four samples collected from South Korean retail franchise and restaurant employees are analyzed using factor analysis, structural equation model techniques and one-way analysis of variance. The results of the study identify the three constructs of organizational benefits, perceived tangible assets and perceived intangible assets as for important ante-cedents to accept social networking sites for their business use. Moreover, higher position employees tend to have more favor-able perception of tangible assets and acceptance of social net-working sites for their business use

Multi-channel customer management: A case study in Egypt

Channel management is one CRM systems component much influenced by the behaviour of customers in relation to the implementation and use of channel management CRM component. The consumers’ behaviours, preferences, perceptions and expectations are crucial for the implementation and use of channel management. Customers’ contact with the organization’s multi-channels can occur at several touch points through out customer lifecycle. Customers’ behaviours may be differentiated according to the individual or micro level, but it might also differ at an ecological or macro level of analysis (Ramaseshan et al., 2006). In this paper the author has conducted a case study in Egypt to analyze customers’ behaviours at a macro level and customers channel choices, through out the customer lifecycle. The author has used a Structurational Analysis model (Ali and Brooks, 2008) to identify the cultural factors (Ali, et al. 2008) that influence the multi-channel customer management in Egypt

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

Cultural aspects of multi-channel customer management: a case study in Egypt

Channel management is one CRM systems component much influenced by the behaviour of customers in relation to the implementation and use of channel management CRM component. The consumers’ behaviours, preferences, perceptions and expectations are crucial for the implementation and use of channel management. Customers’ contact with the organization’s multi-channels can occur at several touch points through out customer lifecycle. Customers’ behaviours may be differentiated according to the individual or micro level, but it might also differ at an ecological or macro level of analysis (Ramaseshan et al., 2006). In this paper the author has conducted a case study in Egypt to analyze customers’ behaviours at a macro level and customers channel choices, through out the customer lifecycle. The author has used a Structurational Analysis model (Ali and Brooks, 2008) to identify the cultural factors (Ali, et al. 2008) that influence the multi-channel customer management in Egypt

Enterprise portals: addressing the organisational and individual perspectives of information systems

Enterprise portals are being viewed as the next generation application platform of choice, offering benefits over both client/server and thin client arrangements. By providing a mediating layer between the information applications and resources of the organisation and the individuals using them, enterprise portals appear to provide a unique context to allow both the organisational and individual perspectives of information systems to be addressed. This study seeks to examine these often competing perspectives of information systems by using an exploratory empirical survey to investigate the actual deployment of enterprise portals within a range of different organisations. It is found that both the individual and organisational benefits that enterprise portals can offer appear to have been recognised, and coherent sets of services addressing each of these perspectives are being developed. Consistent with diffusion and acceptance of technology models, organisations appear to be commencing their portal developments with services that will ensure utilisation by individuals, and are subsequently seeking to realise organisational level benefits

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

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Linking consumer trust perception in constructing an e-commerce trust model

Trust issues is still considered as a main obstacle in the implementation of eCommerce Due to the increasing numbers of cyber crimes committed today, consumers are faced with doubt to engage in online shopping. As a safety precaution, consumers will take certain measures to protect their information by evaluating and assessing these websites trustworthiness before an actual purchase occurs. This paper describes a model that examines the elements related to online consumer behavior and to investigate this behavior towards building and increasing trust. The applicability of the model was tested in attempt to view consumers' acceptance towards the model and its component. The fmdings indicate the respondents are aware of the trust issue surrounding e-Commerce implementation as they accept and agreed with the model and its components