26,592 research outputs found

    A conceptual model of channel choice: measuring online and offline shopping value perceptions

    Get PDF
    This study tries to understand how consumers evaluate channels for their purchasing. Specifically, it develops a conceptual model that addresses consumer value perceptions of using the Internet versus the traditional (physical) channel. Previous research showed that perceptions of price, product quality, service quality and risk strongly influence perceived value and purchase intentions in the offline and online channel. Perceptions of online and offline buyers can be analyzed to see how value is constructed in both channels. This model enables comparisons between online and offline shoppers perceptions. As such, it is possible to determine the factors that encourage or prevent consumers to engage in online shopping.

    Understanding the consumption process through in-branch and e-mortgage service channels: A first-time buyer perspective

    Get PDF
    This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here (////BURA web address here). Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.Purpose – The twin aims of this paper are to explore the differences in the consumption process between the traditional in-branch and web-based (e-mortgage) service channels and how the differences relate to any problems identified in the electronic service environment, with respect to information search and product evaluation. Design/methodology/approach – A process-oriented approach comparing the two service channels (in-branch vs e-mortgage) was conducted in two study phases. Data from the e-mortgage process were collected using protocol analysis with 12 first-time buyers (FTBs) applying on a website belonging either to a hybrid or to an internet-only bank. Results of the e-mortgage process were mapped on to stages of the in-branch process, which was captured by observation of six FTB mortgage interviews to determine the level of correspondence and emergent issues. Findings – Support for the FTB in the e-mortgage process was problematic and service provision was found to be product- rather than consumer-oriented. Practical implications – The study highlights the importance of design issues in the electronic service environment for creating confidence in the online advice and information available on home mortgages for FTBs. Originality/value – The paper promotes increased understanding by financial service providers of the characteristics that support the consultative selling process for complex products such as mortgages and inform multichannel retailing

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

    Get PDF
    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

    An Exploratory Study on the Level of Trust towards Online Retailers among Consumers in the United Kingdom and Malaysia

    Get PDF
    This study aims to investigate the extant level of trust towards online retailers among consumers in two different geographical and cultural locations – UK and Malaysia based on Michell’s et al. trust model. The objectives of this study are: 1. To identify the predictive variables of customers’ trust towards online retailers 2. To ascertain the extent of the consumer trust variable as being the essential element of online shopping 3. To analyse the differences in perception of online trust between consumers in the United Kingdom and Malaysia The study showed that online retailers are comparatively more trusted in UK than in Malaysia indicative by the higher average levels of trust from consumers in the UK. Additionally, the UK had a higher age group in the 25 – 34 category contributing the highest average trust value compared to Malaysia’s highest average trust value found in the lower 18 – 24 age group. There were a relatively higher percentage of male users; 66 per cent and 78 per cent in the UK and Malaysia respectively. Multiple stepwise regressions were used to analyse the level of trust against the selected trust correlates

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

    Get PDF
    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

    Modelling and testing consumer trust dimensions in e-commerce

    Get PDF
    Prior research has found trust to play a significant role in shaping purchase intentions of a consumer. However there has been limited research where consumer trust dimensions have been empirically defined and tested. In this paper we empirically test a path model such that Internet vendors would have adequate solutions to increase trust. The path model presented in this paper measures the three main dimensions of trust, i.e. competence, integrity, and benevolence. And assesses the influence of overall trust of consumers. The paper also analyses how various sources of trust, i.e. consumer characteristics, firm characteristic, website infrastructure and interactions with consumers, influence dimensions of trust. The model is tested using 365 valid responses. Findings suggest that consumers with high overall trust demonstrate a higher intention to purchase online

    Shopbots, Powershopping, Powersales: New Forms of Intermediation in E-Commerce - An Overview -

    Get PDF
    With the advent and proliferation of the Internet many aspects of business and market activities are changing. New forms of intermediation also called cybermediaries are becoming increasingly important as a coordinator of interaction between buyers and sellers in the electronic market environment. Especially the overwhelming abundance of information offered by the Internet promotes the development of new intermediarie like malls, shopbots, virtual resellers etc. This paper provides a detailed overview of different new forms of cybermediation and illustrates their influence on consumer choice, firm pricing and product differentiation strategies.comparison shopping, cybermediaries, e-commerce, shopbots

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

    Get PDF
    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
    corecore