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The purpose of this paper is to examine an integrated model of factors affecting attitudes toward online shopping in Jordan. The paper introduces an integrated model of the roles of perceived website reputation, relative advantage, perceived website image, and trust that affect attitudes toward online shopping.

A structured and self-administered online survey was employed targeting online shoppers of a reputable online retailer in Jordan; MarkaVIP. A sample of 273 of online shoppers was involved in the online survey. A series of exploratory and confirmatory factor analyses were used to assess the research constructs, unidimensionality, validity, and composite reliability (CR). Structural path model analysis was also used to test the proposed research model and hypotheses.

The empirical findings of this study indicate that perceived website reputation, relative advantage, perceived website image, and trust have directly and indirectly affected consumers’ attitudes toward online shopping. Online consumers’ shopping attitudes are mainly affected by perceived relative advantage and trust. Trust is a product of relative advantage and that the later is a function of perceived website reputation. Relative advantage and perceived website reputation are key predictors of perceived website image. Perceived website image was found to be a direct predictor of trust. Also, the authors found that 26 percent of variation in online shopping attitudes was directly caused by relative advantage, trust, and perceived website image.

The research examined online consumers’ attitudes toward one website only therefore the generalizability of the research finding is limited to the local Jordanian website; MarkaVIP. Future research is encouraged to conduct comparative studies between local websites and international ones, e.g., Amazon and e-bay in order to shed lights on consumers’ attitudes toward both websites. The findings are limited to online shoppers in Jordan. A fruitful area of research is to conduct a comparative analysis between online and offline attitudes toward online shopping behavior. Also, replications of the current study’s model in different countries would most likely strengthen and validate its findings. The design of the study is quantitative using an online survey to measure online consumers’ attitudes through a cross-sectional design. Future research is encouraged to use qualitative research design and methodology to provide a deeper understanding of consumers’ attitudes and behaviors toward online and offline shopping in Jordan and elsewhere.

The paper supports the importance of perceived website reputation, relative advantage, trust, and perceived web image as keys drivers of attitudes toward online shopping. It further underlines the importance of relative advantage and trust as major contributors to building positive attitudes toward online shopping. In developing countries (e.g. Jordan) where individuals are generally described as risk averse, the level of trust is critical in determining the attitude of individuals toward online shopping. Moreover and given the modest economic situation in Jordan, relative advantage is another significant factor affecting consumers’ attitudes toward online shopping. Indeed, if online shopping would not add a significant value and benefits to consumers, they would have negative attitude toward this technology. This is at the heart of marketing theory and relationship marketing practice. Further, relative advantage is a key predictor of both perceived website image and trust and the later is a major driver of attitudes toward online shopping. Online retailers’ executives and managers can benefit from such findings for future e-marketing strategies and retaining customers to achieve long-term performance objectives.

This paper is one of the early empirical endeavors that examined factors affecting attitudes toward online shopping in Jordan. This study provides evidence on the factors that determine online shoppers’ attitudes as an antecedent to consumers purchase decisions. From a theoretical perspective, this study contributes to the existing body of knowledge by revealing the sort of cause and effect relationships among relative advantage, perceived website reputation, perceived website image, in addition to trust, and their effect on consumers’ attitudes toward online shopping. Moreover, this paper is one of handful research that has distinguished between perceived website image and perceived website reputation along with their relationships and more specifically in the context of online shopping. From an international e-marketing perspective, online retailers planning to expand their operations to include Jordan or the MENA Region have now valuable empirical evidence concerning the predictors of online shopping attitudes and online shoppers’ behavior upon which e-marketing strategies are formulated and implemented.

The purpose of this study is to investigate multichannel integration of hotels and online travel agencies (OTAs) and to compare consumer behavior between China and Indonesia in the context of online to offline (O2O) commerce. We examine how the services, brand and market share of OTAs influence behavioral intentions in both online and offline channels. SERVQUAL, theory of reasoned action and the halo effect are integrated to develop the research model.

To investigate Chinese and Indonesian customers' experiences and behavioral intention of OTAs and hotels, the customers who booked hotels using OTAs were invited to participate in the questionnaire survey. This study collected 336 and 305 data from China and Indonesia, respectively. A partial least squares structural equation modeling technique was used to test and compare the research hypotheses and model between China and Indonesia.

The results compare the similarities and differences of cross-country customer experiences and behavioral intentions of OTAs and hotels. The effect of website service quality on online satisfaction, the effect of online satisfaction on offline confirmation and the effects of offline confirmation and booking intention on patronage intention are significant and positive in both countries. Website service quality is positively associated with booking intention for Indonesia but not for China. The relationship between perceived size and booking intention is significant for China but not for Indonesia. The findings provide insights into the development of O2O commerce for global markets and multichannel strategies between OTAs and hotels.

With the development of O2O commerce, increasingly more hoteliers are opening up online and offline sales channels by cooperating with OTAs. Although several cross-country studies have investigated consumer behavior or behavioral intentions, behavioral settings are based on online or offline channels rather than the integration of both channels. Although some research has studied the integration or competition of OTAs and hotels, none of these studies have investigated the issues from the perspective of country comparison. This study provides the understanding of how customers in different countries and with different backgrounds react to the same e-commerce development, especially the cooperation of OTA and hotels.

The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example.

An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform.

The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention.

The findings can be used to guide e-finance providers to improve their platform design and services to retain users.

This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.

The purpose of this paper is to investigate internet-only banks’ (IOBs) adoption by French consumers and attempt to understand the factors that influence consumers’ initial trust in this type of service.

A non-probability convenience sample of potential IOBs adopters from France was used to test a structural equation model that analyzed the antecedents of initial trust and usage intentions of IOBs.

The study shows that trust is a major influencer in IOBs’ adoption in France. It has also been found that consumer familiarity with internet banking, high perceived structural assurance, perceived website quality, bank reputation and relative advantage are critical factors influencing IOBs’ initial trust formation.

This study shows the applicability of the initial trust-building model in the context of IOBs and underlines the importance of factors such as familiarity, reputation and perceived quality in the context of online banking services in France.

This paper provides e-banking companies with the most important factors that contribute to build the initial trust of customers. E-banks need to focus on making themselves known and promoting their brand more effectively through advertising and advocacy.

This study contributes significantly to the marketing research related to consumer trust and brand reputation, as well as to the electronic banking literature. The results show the importance of initial trust in the context of services and the main factors that influence it, including a key branding variable such as reputation. The paper also focuses on the IOBs’ adoption in France, a market understudied compared to the USA, and seeks to understand the mechanisms associated with the initial formation of French consumers’ trust toward it.

The purpose of this study is to explore the effects of review group’s content-related and environment-associated attributes on information adoption intention of information readers. In addition, this study further investigates the effects of these determinants in different websites with different commercial attributes (i.e. online stores and third party forums).

This study used a structured online survey to collect data from an online store and a third party forum in China; totally 302 responses were collected.

The empirical results confirm that all of the five determinants significantly affect the information adoption intention of information readers. Furthermore, the authors found that four of the determinants have distinct effects in different websites.

The findings of this study validate the significant moderating role of website attributes in readers’ information processing. Information readers use distinct criteria to evaluate the received review information; electronic word-of-mouth determinants have varying effects on different websites with different commercial attributes.

The purpose of this paper is to validate the conceptual model that presents the determinants of Tier 2 consumer’s online shopping attitude and the interrelationships among the constructs across the three Tier 2 cities in India.

The paper uses survey-based data from three Tier 2 cities of North India – Kota, Agra and Jalandhar and uses a combination of statistical techniques to assess psychometric properties of the scales and conduct the measurement and structural invariance.

The findings of the paper reveals that technology readiness, consumer innovativeness, fondness for branded products and perceived brand unavailability act as determinants of online shopping attitude and there is a positive relationship between online shopping attitude and online purchase intention among Tier 2 consumers in India while perceived offline hedonic value do not have any significant impact.

Future researchers can use this model with additional confidence given its cross-segment robustness.

Online marketers can use the antecedents identified in this study to develop and encourage positive online shopping attitude in small town India.

This research paper is the first one that investigated online shopping attitudes of Indian Tier 2 consumers. Importantly, it validated the determinants of online shopping attitude among Tier 2 consumers. National and international e-tailers aiming to develop and expand their operations to India now have the critical empirical verification concerned with the determinants of online shopping attitude and behaviour in India which would be meaningful to develop a sound marketing strategy.

The COVID-19 outbreak has disrupted the habits of customers as well as their shopping behavior. This study aims to critically examine the associated benefits and challenges of online shopping from the perspective of customers in the COVID-19 pandemic.

A systematic review of the relevant literature published between 2020 and 2022 was conducted via performing comprehensive search query in leading scholarly databases “Scopus and Web of Science” with the restriction of their predefined subject category of “Business.” Overall, 30 research studies were selected for the review and a significant number of studies were published in 2021 (n = 15).

The research findings revealed that customers are motivated to shop online because of perceived benefits such as time-saving, convenience, 24/7 accessibility, interactive services without physical boundaries, trust, website attractiveness and cost-saving. However, challenging factors such as financial scams, privacy concerns, poor quality of products and services, fake promotions and reduced social interaction have hindered the growth of online shopping. The recommendations regarding designing marketing strategies, secured transaction, multiple payment options, trust building, protection of privacy, promotion via social media, effective mechanism to secure and timely delivery of product are helpful to improve the service quality of online shopping.

The outcomes of this research are valuable to online retailers and policymakers, as it highlights how the benefits can enhance customers’ shopping intentions and minimize the impact of associated challenges. This study also recommends the redesigning of user-friendly interfaces of online shopping websites and ensures their privacy, security and performance on a regular basis.

This article aims to explore the factors influencing patients' distrust toward doctors in online health community.

This study leveraged the distrust construct model and socio-technical systems theory to establish a research model. The authors used the survey method to validate the research model by developing and distributing questionnaires to online health community users. 518 valid responses were collected.

The data analysis results showed that patients' distrusting beliefs were significantly related to their distrust toward doctors in online health communities. Meanwhile, social factors included perceived egoism and lack of expertise; whereas technical factors included no structural assurance, and lack of third-party recognition.

This study not only provides a solid and comprehensive theoretical understanding of patient distrust toward doctors in online health communities but also could serve as the basis to relieve the distrust between patients and doctors in online health communities, or even in the offline environment.

The five-factor model (FFM), a popular personality typology that identifies five key personality traits, has been used to predict use intention in various e-commerce applications, but the role of FFM in triggering certain evaluations of the various quality dimensions of e-commerce websites has not been examined, revealing a gap, i.e. the authors do not know how the five personality traits impact evaluations of the quality dimensions of e-commerce websites. The 3Q model—which comprises system quality (SysQ), information quality (IQ), and service quality (SQ), spanning 13 quality dimensions—is helpful for evaluating website quality, but the model neglects user characteristics and their impacts on quality evaluation, posing another gap, i.e. the authors do not know how user characteristics impact the user's evaluation of quality dimensions. Thus, the authors used the FFM to extend the 3Q model to explain how user personality predicts the evaluation of websites in the 13 quality dimensions.

The authors used an online survey to collect responses from 392 online shoppers. Structural equation modeling was used to test the hypotheses.

The authors found that openness in a shopper predicts their favorable evaluation of a website in the quality dimensions of format and flexibility; conscientiousness predicts favorable evaluation in terms of completeness, accuracy, currency, timeliness, and service reliability; neuroticism predicts unfavorable evaluation in terms of reliability, accessibility, and assurance; and extraversion predicts favorable evaluation in terms of responsiveness; while agreeableness did not predict empathy.

In sum, the authors successfully used the FFM to theoretically extend the 3Q model, which clarifies the usefulness and pathways of personality in formulating strategies for e-commerce success.

In the diffusion of innovation framework, this study identified three distinct segments of golf product consumers using a cluster analysis and explored potential differences between segments on communication behaviours related to innovativeness. Results indicate that the members of each cluster show varying degrees of innovativeness for new golf products. Each cluster also was further distinguished based upon communication behaviours.