84,023 research outputs found

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

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    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

    Modelling and testing consumer trust dimensions in e-commerce

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    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

    The effects of travelling reasons on social media resources and tourist expectations

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    Esta investigación tiene como objetivo examinar la relación de las fuentes del contenido generado por el usuario (UGC) en las redes sociales, que proviene generalmente de fuentes de lazos fuertes y fuentes de lazos débiles, en la generación de expectativas turísticas sobre los recursos básicos y los recursos o factores de apoyo de los destinos. También se analiza el efecto moderador de las razones para viajar en la relación de las fuentes UGC y las expectativas turísticas. Para esta investigación, se recogieron 375 encuestas. Los resultados señalan que las razones o motivos del viaje son un factor importante a considerar en la generación de las expectativas turísticas, y en nuestro caso, el UGC que provenía de las fuentes de lazos débiles influyen de manera significativa en la generación de expectativas del turista cuando viaja por motivos de trabajo.This research aims to examine the relationship of user generated content (UGC) sources in social media which is provided by strong-tie sources and weak-tie sources on tourist expectations on core resources and factor supporting of the destinations, and also analyze the moderate effect of the reasons of travelling on the relationship of UGC sources and tourist expectations. 375 samples were collected. The results demonstrate that travelling reasons is an important factor to consider about the origin of tourist expectations. The UGC that was provided by weak-tie source has influence on tourist expectations when they travel with business reason

    Driving online shopping: Spending and behavioral differences among women in Saudi Arabia

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    This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure gender differences with regard to continuance online shopping intentions in Saudi Arabia. The sample consists of 650 female respondents. A structural equation model confirms model fit. Perceived enjoyment, usefulness, and subjective norms are determinants of online shopping continuance in Saudi Arabia. High and low online spenders among women in Saudi Arabia are equivalent. The structural weights are also largely equivalent, but the regression paths from perceived site quality to perceived usefulness is not invariant between high and low e-shoppers in Saudi Arabia. This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 60% of the female respondents’ intention to continue shopping online. Online strategies cannot ignore either the direct and indirect spending differences on continuance intentions, and the model can be generalized across Saudi Arabia

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

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    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
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