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Consumer-perceived review attitude determines consumer overall information adoption and is a core part of consumer’s online-shopping. This study aims to focus on factors that could influence consumer review attitude and can be used by marketers to shape individual information perception.

The study used the questionnaire method to collect data from online shoppers and the modelling of structural equations as an empirical approach to analyse the data.

The findings demonstrate that both systematic and heuristic cues impact the reviewer’s credibility and perceived website attitude differently, which, in turn, influence review attitude. Review characteristics, such as factuality, consistency and relevancy, have a positive relationship with reviewer credibility, while only review consistency and relevancy appears to have a relationship with review attitude. Website characteristics such as reputation, familiarity and social interactivity positively influence the website attitude, which positively influences review attitude. Apart from this, review skepticism has a significant negative relationship with review attitude.

This study could help to foster a positive attitude towards online reviews. Digital marketers need to motivate trusted reviewers to post consistent, fact-based reviews. Further improving the overall website reputation and interactivity could bring a positive attitude towards the reviews. Also, digital marketers must filter and avoid contradictory reviews or reviews that have a bipolar message and reviews expressing numerous emotions to enhance review relevance and consistency.

The current study addresses the need to understand the formation of consumer review attitude through both review and website characteristics using heuristic – systematic model. The paper captures the complex process undergone by the consumer to decipher review attitude and thereby extend the understanding of consumer information processing.

Online group buying (OGB) websites have rapidly increased in number in recent years and have become an interesting model for online transactions. Previous studies have shown that consumers’ individual characteristics are critical in group buying participation and the perceived usefulness (PU) of an information system, whereas the role of consumer characteristics on the OGB website-quality-PU relationship remains unclear. The purpose of this paper is to investigate whether consumer characteristics (i.e. gender and utilitarian orientation) moderate the OGB website-quality-PU relationship.

A total of 658 OGB website consumers participated in this study. Data were analysed by employing hierarchical moderated regression method.

The primary findings are as follows. First, the effect of system quality on consumer PU of the OGB website was stronger for male consumers than for female consumers. Second, the effect of information quality on PU was stronger for high-utility-orientated consumers than for low-utility-orientated consumers.

Because of the increasing importance of e-commerce and the growing number of shoppers purchasing from OGB websites, the finding provides enhanced understanding of OGB consumers for segmentation strategies.

Understanding the main determinants of internet banking is important for banks and users. Although several prior research projects have focused on the factors that impact on adoption of technology, there is a limited empirical work which simultaneously captures technology-specific factors (PE, EE, WD, GAM) and customer-specific factors (GSC, INTRC) that help customers to adopt internet banking. Thus, the purpose of this paper is to verify how these factors influence individual behavior and motivate them to adopt new technology. The authors advance the body of knowledge on this subject by proposing moderating relationship of gamification between user’s intention to adopt and intention to recommend internet banking in social network.

To test the model the authors developed a quantitative study involving 398 internet users from five commercial banks. Data were collected in four weeks beginning of September 2017 from three large cities of Pakistan using convenience sampling approach. The theoretical model was tested using structural equation modeling (SEM).

The results indicate that intention to adopt internet banking is positively affected by performance expectancy, effort expectancy, website design, website characteristics and general self-confidence. Findings of SEM showed that approximately 72 percent of the variance in customer’s intention to adopt internet banking was accounted by predictors. Moderating effect of gamification suggested that the positive relationship between customer’s intention to adopt and customer’s intention to recommend internet banking will be stronger when gamification is higher. Importance performance matrix analysis (IPMA) suggested that among all other variables general self-confidence is the most important construct as it has the highest importance value in IPMA.

This study provides insightful guideline to practitioners, web designers and marketing professional that they should focus on both technology perspective and customer-specific factors to boost the confidence of internet banking users, while for researchers this study provides a basis for further development of technology adoption models in e-commerce domain.

This study contributes to the body of knowledge by adding game elements in technology perspective model and augments the e-commerce literature in the internet banking adoption context. To the date, this study is the first in its nature that investigates both technology-specific factors and customer-specific factors altogether to see the users influence toward technology adoption.

This investigation evaluated four sports fan characteristics (fan identification, trust in internet shopping, attitude towards online purchasing, and perceptions of convenience) and two sports website characteristics (perception of product comparison service, and website price advantage) to assess their ability to differentiate licensed sports merchandise purchasers (buyers), and those who just browsed sports websites (browsers). The results made it possible to differentiate buyers and browsers based on 'trust in internet shopping', 'attitude towards online purchasing', 'perceptions of convenience', and 'website price advantage'. Additionally, all six characteristics collectively explained sports merchandise consumers buying versus browsing.

The aims of this paper are to provide an integrated literature review of factors influencing consumers' responses to brand websites; to describe the state of research in the past ten years; and to give an overview of the theories used in brand website studies.

Using a vote‐counting procedure, 736 findings from 50 empirical studies are synthesized. In a vote‐counting analysis the number of positive and negative significant relations between the same two variables is compared to the number of non‐significant relationships.

The analysis reveals which person‐related factors (e.g. involvement or flow) and website‐related factors (e.g. usability or interactivity) influence responses to websites and brands. To explain such responses many studies integrate new theoretical concepts (e.g. interactivity or telepresence) into traditional theories. Furthermore, the review shows that the current state of research is limited by the use of forced exposure, student samples and the measurement of affective responses.

The present study investigates an increasingly popular approach to promote brands at the internet: the use of brand websites. The study gives insight into factors influencing the effectiveness of these websites. Marketers can use this knowledge to improve the effectiveness of their websites.

The paper provides a valuable contribution to the literature on brand websites. The paper can form the basis for future research on this topic.

With the expansion of internet as a tool for exchanging information, companies include in their websites a virtual space to share information among users. The purpose of this paper is to explore the characteristics of consumers’ reviews (electronic word-of-mouth quantity, credibility and quality) as antecedents of customers’ online repurchase intentions. Specially, it proposes a model where trust on an online seller and perceived usefulness of a website mediate the influence of electronic word-of-mouth (EWOM) characteristics on repurchase intentions.

Structural equation modeling was employed on a sample of 252 online customers. An online questionnaire was aimed at internet users who had previously made an online purchase and read online reviews received from the vendor’s website.

Results show that only EWOM quality has a positive direct effect on consumers’ repurchase intention while quantity has a negative influence. Perceived usefulness mediates the influence of all EWOM characteristics on online repurchase intention. EWOM credibility and quality also indirectly influence repurchase intentions through trust on the online vendor.

This paper outlines ways to improve managerial implications by developing mobile applications or websites where the reviews have an appropriate volume and quality of information. Moreover, it suggests general advice to present online reviews in a useful manner to users who visit these websites.

This study is one of the first to propose an integrative model that studies in depth the three main EWOM characteristics and customer responses for understanding their repurchase behavior.

As competition in the industry intensifies, companies must use market-oriented approaches to gain competitive superiority; one of the approaches that can lead to the success of companies in the competitive market is to undertake social co-creation with the help of customers. Although the use of social media for the development of social interactions has expanded, very little attention has been paid to how the concept of social co-creation is formed on social media by users. Therefore, this study aims to investigate the effect of personality traits and website quality on social co-creation, with the mediating role of trust in tourism websites.

This research, in terms of purpose, is practical, and in terms of information collection, it is a descriptive survey. The research statistical population is all users of active tourism sites in Iran. The sampling method is non-probability and available sampling. The questionnaire was designed based on the Likert scale and was distributed electronically among the statistical sample. After collecting and reviewing the questionnaires, 203 were used for analysis. The data analysis method in this study is hierarchical multiple regression.

The results indicated that personality traits and website quality are correlated with trust and social co-creation. The dimensions of website quality, including quality of information, quality of system and quality of service on tourism websites, have considerable and positive effects on trust. Also, all dimensions of the personality traits, except extraversion and neuroticism, have a considerable and positive effect on trust. Moreover, the correlation between trust and social co-creation is positive.

According to the review of the digital marketing literature, some researchers examined the influential factors in co-creation, but there is little research about how the interaction of these three concepts (personality traits, website quality and trust) enhances co-creation. This study contributes to the existing literature with empirical evidence of how personality traits and website quality influence co-creation by mediating the role of trust.

The purpose of this paper is to study the real role of historical satisfaction (HSat), i.e., satisfaction only deriving from past experiences, excluding the most recent, in B2C service contexts when services are experienced offline, while the actual services are purchased online through the service providers’ website.

The proposed conceptual framework was tested by focusing on a particular travel industry firm which is responsible for providing travel services as well as managing the website where these services are purchased. The study population included customers who had purchased at least two travel tickets during the last 12 months online. In order to reduce possible self-selection bias and to improve the generalizability of the web survey findings, post-stratification was applied. The measurement model was evaluated by using confirmatory factor analyses. The direct and indirect effects of HSat on encounter overall satisfaction (EOS) were analyzed using structural equation modeling.

The direct effect of HSat on EOS was observed to be higher than its indirect effect through offline service dimensions and website dimensions. It was also observed that offline service dimensions have a direct impact on EOS, while they do not have an indirect impact since the website dimensions do not have a direct effect on EOS.

Historical satisfaction is really important in building EOS for services purchased previously online but experienced offline.

The results could provide managers with useful tools for allocating resources and also build an even higher level of EOS. They also shed light on how HSat molds offline service perception for services sold online.

To the authors’s knowledge, only one empirical paper focused on “historical satisfaction,” while no studies have taken into consideration the fact that service offline dimensions and e-customer satisfaction could be indirectly linked by website quality dimensions, the issue studied in this paper.

The field of website quality evaluation attracts the interest of a range of disciplines, each bringing its own particular perspective to bear. This study aims to identify the main characteristics – methods, techniques and tools – of the instruments of evaluation described in this literature, with a specific concern for the factors analysed, and based on these, a multipurpose model is proposed for the development of new comprehensive instruments.

Following a systematic bibliographic review, 305 publications on website quality are examined, the field's leading authors, their disciplines of origin and the sectors to which the websites being assessed belong are identified, and the methods they employ characterised.

Evaluations of website quality tend to be conducted with one of three primary focuses: strategic, functional or experiential. The technique of expert analysis predominates over user studies and most of the instruments examined classify the characteristics to be evaluated – for example, usability and content – into factors that operate at different levels, albeit that there is little agreement on the names used in referring to them.

Based on the factors detected in the 50 most cited works, a model is developed that classifies these factors into 13 dimensions and more than 120 general parameters. The resulting model provides a comprehensive evaluation framework and constitutes an initial step towards a shared conceptualization of the discipline of website quality.

The quality of consumer-oriented health information on the web has been defined and evaluated in several studies. Usually it is based on evaluation criteria identified by the researchers and, so far, there is no agreed standard for the quality indicators to use. Based on such indicators, tools have been developed to evaluate the quality of web information. The HONcode is one of such tools. The purpose of this paper is to investigate the influence of web document features on their quality, using HONcode as ground truth, with the aim of finding whether it is possible to predict the quality of a document using its characteristics.

The present work uses a set of health documents and analyzes how their characteristics (e.g. web domain, last update, type, mention of places of treatment and prevention strategies) are associated with their quality. Based on these features, statistical models are built which predict whether health-related web documents have certification-level quality. Multivariate analysis is performed, using classification to estimate the probability of a document having quality given its characteristics. This approach tells us which predictors are important. Three types of full and reduced logistic regression models are built and evaluated. The first one includes every feature, without any exclusion, the second one disregards the Utilization Review Accreditation Commission variable, due to it being a quality indicator, and the third one excludes the variables related to the HONcode principles, which might also be indicators of quality. The reduced models were built with the aim to see whether they reach similar results with a smaller number of features.

The prediction models have high accuracy, even without including the characteristics of Health on the Net code principles in the models. The most informative prediction model considers characteristics that can be assessed automatically (e.g. split content, type, process of revision and place of treatment). It has an accuracy of 89 percent.

This paper proposes models that automatically predict whether a document has quality or not. Some of the used features (e.g. prevention, prognosis or treatment) have not yet been explicitly considered in this context. The findings of the present study may be used by search engines to promote high-quality documents. This will improve health information retrieval and may contribute to reduce the problems caused by inaccurate information.