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This paper proposes a framework for connecting the involvement construct’s antecedents of Internet marketing, measured involvement degree, related constructs and consequences of consumer behavior. The research first determined the factors that influence the degree of Internet marketing involvement then established the different involvement degree clusters by measured involvement. Finally, the relationship among influence factors, Internet marketing involvement degree, and consequences of consumer behavior was analyzed. Based on the research findings, this paper discusses the possible Internet marketing strategies for a variety involvement degree clusters.

This study aims to explore internet marketing adoption in emerging industrial markets across several internet-based technologies (i.e. social media platforms, static and transactional websites).

This study is mainly based on an exploratory research design and investigated the online presence of 570 industrial organizations in terms of their involvement in social media. This study also examines if websites are used for basic marketing communications (brochureware) or for conducting advanced marketing activities. An online survey is used to explore the relationships between several factors and internet marketing adoption.

The study found that half of the investigated organizations are using the internet as a one-way communication vehicle through static websites. The study also revealed that decision-makers in emerging industrial markets are enthusiastic about social media, particularly Facebook. In addition, internet marketing adoption was positively related to perceived relative advantage, compatibility, organizational innovativeness, competitor and customer pressure.

From practitioners’ perspectives, the findings can help decision-makers identify the current levels of involvement in internet marketing. At the macro level, the high percentage of organizations with minimum involvement in internet marketing calls for conducting awareness initiatives to educate industrial organizations, particularly small- and medium-sized enterprises, about the opportunities offered by the internet.

The findings from this study enrich internet marketing research because it focuses on industrial organizations in emerging markets, which is a rarely examined context despite its importance and potential.

The purpose of this paper is to investigate how an E-retailer's assistive intent impacts the perceptions and behaviours of online shoppers. The paper introduces a model that explains and examines the process through which the perceived assistive intent of an E-retailer leads to improved patronage intentions towards the web site.

A survey on the most recent e-purchase experiences of more than 600 individuals in North America was conducted. Structural equation modelling based on EQS 6.1 was used to assess the measurement and structural models.

Results indicated that customers’ impressions of an E-retailer's assistive intent positively impact web site patronage intentions both directly and indirectly through two key constructs of e-shopping, including web site involvement and web site attitudes.

The student sample is not representative of the population. Students are familiar with internet and feel less need for assistance online. Another shortcoming might be its settings. Since the survey was on the respondents’ most recent online experiences, the data quality depends on the amount and accuracy of the information they could retrieve from memory.

The findings suggest that E-retailers would highly benefit from investing in the development of an assistive image. To do so, E-retailers should leverage the interactive nature of the web and provide supportive tools that facilitate the e-shopping task of clients.

Developing impressions of the site's assistive intent is highly rewarding for E-retailers that are new to the business.

This paper represents the first effort to link the newly developed construct of E-retailer's assistive intent to two fundamental variables of online shopping, including web site involvement and web site attitudes. This work would also be an extension of the past studies that call for further investigation of the link between customer orientation and customer's loyalty intentions.

This study developed a new interpretation of the attitude contagion theory, with the information adoption model (IAM) as the theoretical basis. A review of electronic word-of-mouth studies was conducted by using informational and individual determinants to develop an integrated empirical model that identified the antecedents and consequences of consumer attitude toward online reviews.

This study recruited 750 members of Facebook beauty fan pages in Taiwan and used the structural equation model to test research hypotheses.

Results revealed that perceived “ electronic word-of mouth (eWOM) credibility of online reviews” and “product involvement” could be used to explain the effects of attitude toward online reviews. Regarding the attitude contagion effect, the effect of “attitude toward online review” on both “attitude toward a product” and “attitude toward a brand” is stronger than that on “eWOM adoption.”

This paper provides valuable insights into the antecedents, consequences and mediating mechanisms that determine consumer attitude toward online reviews.

The purpose of this research paper is to apply the ABC model and examine the attitudinal segmentation of online consumer in India in terms of internet usage, perceived risks, website attributes, intent to do online purchase in future and preference of website attributes.

A structured questionnaire was administered to 600 online consumers using field and online survey mediums. The logit analysis was applied to arrive at segmentation of online users.

Findings show how attitudes are different of online users when they were segmented based on internet usage. This segmentation showed attitudes that were paradoxical in nature. To explain this paradoxical behaviour of online buyers, this study applied the logit analysis. The online users were further examined applying the ABC model of attitude. Three distinct segments of online users emerged. They are: CAB, CBA and BCA.

The findings of this paper will be useful for online retailers who want to start e-commerce business in India. The findings are also useful for designing appropriate promotion and marketing strategies to entice online users to become online buyers.

The key contributions of this paper are the new insights from using the ABC model. Based on usage of internet in number of hours, online buyers could be segmented into four groups. On further analysis using ABC model, this studied showed that a better segmentation of online buyers is possible and that is called attitudinal segmentation. The BCA attitudinal segment is a finding of this study and is unique to this research. This has not been done using Indian online buyers and this adds to the originality of the study.

The objective of this paper is to propose a consumer-behavior-based intelligence (CBBI) model to identify market structure so as to monitor product competition. Competitive intelligence extracted from Chinese e-business clickstream data is exploited to examine the relevance of consumers' heterogeneous behavioral feedback, namely, click, tag-into-favorite, time-of-browsing, add-into-cart, and remove-from-cart, to visualize the competitive product market structure and to predict product-level sales.

Our proposed CBBI model consists of visualization and prediction, which explore e-business clickstream data. We conduct the visualization and segmentation of market structure in the form of a perceptual map by employing K-means clustering algorithm and multidimensional scaling technique. Concurrently, we developed an updated Bayesian linear regression (BLR) to predict product-level sales by considering consumers' heterogeneous feedback. Our updated BLR specifically integrated the estimated knowledge of the previous periods to verify whether product sales are period-dependent due to the consumer memory effect in e-commerce, improving the conventional BLR of diffuse prior distribution setup in terms of mean absolute error (MAE) and root mean squared error (RMSE).

Considering the performance of consumers' heterogeneous actions, the present research visualized three different segments of the competitive market structure in a perceptual map, and its horizontal axis is shown as a signal of the ascending trend of product sales. The previous five-day period was ascertained to be the best size of a time window for the consumer memory effect on product sales prediction. This hypothesis is supported by the concept that product sales are period-dependent. The results of the proposed updated BLR indicate that consumer tag-into-favorite, add-into-cart, and remove-from-cart feedback have positive impacts on product-level sales while click and time-of-browsing have the opposite effect.

While the identified competitive product market structure elaborates consumer heterogeneous feedback toward alternative product choices, this paper contributes by extending those homogeneous consumer preferences-related marketing studies. The perceptual map's configuration in respect to period-dependent product sales facilitates the effective inclusion of consumer behavior application in product sales prediction research in e-commerce. This paper helps sellers and retailers better comprehend the impacts of heterogeneous feedback and the consumer memory effect on the degree of competition in the form of product sales. The research results also offer a managerial implication about shaping the competitive edge by conducting different product management strategies in e-commerce platforms.

The purpose of this paper is to examine the interrelationships among the extracted constructs of customer satisfaction (CS), knowledge about customer relationship management (CRM) program, customer attitude and their effect on relationship share (RS). The study also attempts to find if moderating role of gender exists among these constructs.

A conceptual framework is developed based on previous studies. In order to address a lack of comprehensive evaluation of B2C relationships in Indian hotels, this study extracted the dimensions of CRM in hotels and used them in the structural model. The conceptual model is tested using structural equation modeling approach through maximum likelihood estimation technique. A sample of 305 domestic travelers was used to test the hypothesized relationships among the constructs.

The findings indicate that CS and willingness to engage (CWER) in the relationship are major predictors of RS. Besides, CS indirectly affects RS through customer’s attitude toward the hotel. The results of the study also show that customer willingness to engage in the relationship is dependent on attitude of customer toward firm which is further dependent on knowledge about CRM program. One more notable finding of the study states that gender plays a moderating role between CS and customer willingness to engage in the relationship.

In addition to contributing toward academic knowledge, the findings of the present study will help the practitioners to better design CRM program and reap its maximum benefits.

The current study has considered new dimensions of CRM like customer’s knowledge of CRM and this is the first study to capture responses of Indian travelers in relation with various constructs. This is the first study to test the moderating effect of gender between various constructs.

Internet celebrities have become key resources for consumers making purchase decisions. An increasing number of internet celebrities have begun to exert their influence by creating self-branded products. This study aims to examine the antecedents of consumer attitudes and purchase intentions towards internet celebrity self-brands by integrating cognitive consistency theory, cue utilisation theory and the literature on brand authenticity and celebrity involvement.

Two sub-samples of different social media brand communities were collected via online surveys of consumers with experience purchasing targeted internet celebrity self-brands. Partial least squares structural equation modelling (PLS-SEM) was used to analyse the data.

The results of the two sub-samples provide convergent evidence that brand–consumer congruence, brand authenticity and internet celebrity involvement have positive correlations with consumer attitudes towards internet celebrity self-brands, which then positively correlate with purchase intentions in both psychological (Sub-sample 1) and social (Sub-sample 2) brand communities.

To the best of the authors’ knowledge, this research is the first to develop a comprehensive model of consumers’ attitudes towards internet celebrity self-brands, which predict purchase intentions. The model is empirically tested in different social media brand communities, and the convergent results show the power of the proposed model. Internet celebrity involvement is proposed as a key driver of brand attitudes, which has received little attention. We conceptualise internet celebrity involvement and develop a scale to measure it. Based on the findings, we propose strategies to improve the marketing effectiveness of internet celebrity self-brands.

This study aims to examine the effects of internet self-efficacy and internet involvement on privacy concern and the effect of privacy concern on the frequency of online transactions. The study also seeks to examine the direct effect of internet self-efficacy and internet involvement on the frequency of online transactions.

A structural equation model was developed to test the hypotheses. The model was tested using the LISREL 8.8 software and both structural and measurement parameters were estimated.

Findings suggest that internet self-efficacy and internet involvement affect privacy concern negatively; and privacy concern, in turn, affects frequency of online transactions negatively. Findings also indicate that the direct effect of internet self-efficacy and internet involvement on the frequency of online transactions is positive. All parameters are significant and in the hypothesized direction.

Findings highlight the significance of internet self-efficacy and internet involvement in explaining both privacy concern and online transactions. The negative impact of privacy concern shows strategically why businesses should take measures to protect privacy of consumers and assure them that the information they provide is protected and secure.

This research contributes to the debate on privacy concern and adds to the growing body of literature on the impact of privacy concern on online transactions. Both antecedents and consequence of privacy concern are examined in the study.