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The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

This chapter has three central goals: First, it aims to introduce the concept of consumers’ online brand endorsements, which we define as consumers’ intentional, public, and positive online affiliations with brands (e.g., liking a brand page on Facebook). Second, it provides an overview of the drivers and consequences of this phenomenon. Third, it answers the question whether and when the broadly adopted marketing strategy of consumers’ online brand endorsements is feasible.

To accomplish these goals, we conducted a general review of the literature.

We identified three different drivers of consumers’ online brand endorsements: Identity-related drivers, brand-related drivers, and community-related drivers. Based on the literature we suggest that from the perspective of the endorsing consumer, online brand endorsements have the potential to be a two-sided sword.

The greater potential of this marketing technique appears to rely on the fact that consumers’ online brand endorsements are broadcasted to a gigantic network of other consumers and their potential to be contagious.

Consumers’ online brand endorsements are a new phenomenon and therefore quite understudied. Still, many brands have social media marketing strategies that aim to acquire huge amounts of endorsements by their consumers. This chapter contributes to our knowledge about the underlying mechanisms of consumers’ online brand endorsements. Moreover, it shows how and when consumers’ online brand endorsements can be a feasible marketing strategy.

This chapter aims to shed light on the role that a sustainable orientation plays in strengthening the relationships between global consumers and online brands. Despite many previous studies about the importance of sustainability considerations for national consumers’ brand commitments and purchase intentions, there is a lack of empirical studies focussing on this relationship from a global consumer perspective. A pre-study (consisting of focus group discussions) and a widely distributed international survey with responses from 74 countries show mixed results. Whereas the results from the focus groups imply that a sustainable orientation influences both global consumers’ purchase intentions and brand commitments towards online brands, the survey results imply that global consumers’ sustainable orientations do not affect purchase intentions directly, even though they influence brand commitments. An implication of these results is that an international online brand’s possibility to portray a sustainable orientation plays an important role in strengthening the relationship with global consumers, especially regarding brand commitment.

Innovations in technology and evolution of internet elicited the usage of technology and internet during the shopping process of consumers. Changes in consumer shopping processes opened doors for shifts in consumer buying behavior. As a result of the variations in consumer buying behavior, retailers formed new channel structures to fulfill customer requirements. New channel structures created different retailing formats and enhanced the complexity of retailing processes. As the complexity of retailing processes increased, complexity of consumer shopping behavior increased as well. In this sense, multichannel retailing emerged and expanded all around the world and paved the way for omnichannel retailing. Transformation of multichannel retailing to omnichannel retailing created two different shopping forms as: Showrooming and Webrooming. In this chapter, showrooming and webrooming concepts will be studied and the complementarity dimensions of these concepts will be explained in detail.

Retail marketing is in the midst of an evolution. The paradigm is shifting from a product-centric to a consumer-centric focus, with a particular emphasis on understanding how consumers transition from harboring an interest in a product to actually purchasing that product. In response, shopper marketing, and in-store marketing (ISM) in particular, have emerged as important mechanisms to influence shopper behavior in brick & mortar and online retail environments. The academic literature is replete with work on what factors of ISM influence shopper behavior. In this chapter, we categorize prominent streams of findings on ISM into firm, customer, competitor and product characteristics of ISM and examine how the notion of a “store” is evolving from bricks to clicks – namely from physical formats to online shopping experiences. Insights from this chapter will help retailers and store managers identify what their customers respond to within a physical store, how technology is changing the way they can capture information on customers, and how shopper behavior is evolving in response to brick & mortar and online retail environments.

Online advertising becomes an essential tool to reach the target audience. One of the most widely used strategies is re-targeting. Firstly, this study explores the impact of ethics, privacy and ads' perceived benefits (ad effectiveness and ad relevance) on consumers' attitudes toward online advertising. Secondly, the study investigates the mediating effect of attitudes toward re-targeting online advertising on consumers' purchase intentions. Finally, the study investigates the moderating effect of the perceived ethicality of re-targeting online advertising on consumers' purchase intentions.

Participants (n = 307) were recruited through an online survey platform (MTurk) in the USA. The sample consisted of 65% male and 35% female respondents. The majority are aged 25–34 years, followed by 35–44 years (20%), 45–54 years (14%), 18–24 years (8%) and 55 years and older (6%).

The results show that ad effectiveness and ad relevance influenced consumers' attitudes toward re-targeting. This study shows that consumers are willing to trade their privacy for better search quality. Moreover, perceptions toward the ethicality of re-targeting ads moderated the relationship between consumers' attitudes and purchase intentions.

This study will make several contributions. First, the study will extend the consequential theory in the context of online advertising. Second, the study will assist companies in using re-targeting strategies. The results will reveal which factor is the most important factor impacting consumers' attitudes toward re-targeting strategies.

This is one of the first few papers investigating consumers' perceptions of the ethicality of re-targeting online advertising.

The authors hope to filter valuable information from online reviews, obtain objective and accurate information about the demands of auto consumers and help auto companies develop more reasonable production and marketing strategies for healthy and sustainable development. This paper aims to discuss the aforementioned objectives.

The authors collected review data from online automotive forums and generated a corpus after pre-processing. Then, the authors extracted consumer demands and topics using the LDA model. Finally, the authors used a trained Word2vec tool to extend the consumer demand topics.

Different types of vehicle consumers have the same demands, such as “Space,” “Power Performance,” and “Brand Comparison,” and distinct demands, such as “Appearance,” “Safety,” “Service,” and “New Energy Features”; consumers who buy new energy vehicles are still accustomed to comparing with the brands or models of fuel vehicles; new energy vehicles consumers pay more attention to services and service quality during the purchasing and using process.

The development time of new energy vehicles is relatively short, with some models being available for only one year or even six months. The smaller amount of available data may impact the applicability of topic models. The sample size, especially for new energy vehicles, needs to be increased to improve the general applicability of topic models further.

First, this measure helps online review websites improve their existing review publication mechanisms, enhance the overall quality of online review content, increase user traffic and promote the healthy development of online review websites. Second, this allows for timely adjustments in future product production and sales plans and further enhances automotive companies' ability to leverage online reviews for Internet marketing.

The authors have improved the accuracy and stability of the fused topic model, providing a scientific and efficient research tool for multi-dimensional topic mining of online reviews. With the help of research results, consumers can more easily understand the discussion topics and thus filter out valuable reference information. As a result, automotive companies may gain information about consumer demands and product quality feedback and thus quickly adjust production and marketing strategies to increase sales and market share.

This study aims to understand why consumers continue to visit physical stores despite the rise in mobile shopping and online channels. Mobile shopping has changed how consumers shop, allowing them to easily switch between channels. However, physical stores continue to remain significant because some consumers still prefer them, challenging the belief that online markets always surpass offline markets. To serve their needs effectively, retailers must understand the motivations and behaviors of shoppers in both channels. Therefore, this study aims to explore why people cross the online channel to offline by examining their dissatisfaction with online shopping, using E-SERVQUAL variables.

This study uses a two-method approach that involves in-depth interviews to develop questions related to E-SERVQUAL variables and a survey to assess respondents’ likelihood of switching from online to offline. Data was collected from 203 participants.

The results indicate that dissatisfaction with the timeliness and condition of online shopping services is a significant factor driving consumers to switch to physical stores. This challenges the notion that online markets always surpass offline markets, emphasizing the continued significance of physical stores in the retail landscape.

This study recognizes the importance and relevance of physical stores in the retail environment while challenging the assumption that online markets always outperform brick-and-mortar markets. In terms of dissatisfaction and satisfaction, it is possible to identify under what circumstances dissatisfied consumers go from online to offline by considering the distribution channel migration phenomenon.

Impulsive buyers are a dream segment for retailers and marketers. Stimulants in the retail environment and cognitive aspects evoke a sudden urge the acquisition of products spontaneously. This paper aims to examine key cognitive aspects of impulsive buying behaviour and purchase regret in an online context.

An online survey was conducted to collect the data of 317 online consumers with the help of a convenience sampling technique. The structural equation modelling technique was carried out to establish the validity and reliability of measures and examine the proposed relational paths.

The study results suggest that cognitive aspects recede impulsive buying, resulting in purchase regret. The empirical findings on the impulsive buying behaviour and purchase regret to yield several important implications, including developing marketing strategies and policies to evoke the intentions for impulsive buying behaviour, consumer innovation and balancing the feelings of regret.

The study also provides some significant contributions to the literature on online impulse buying and its related paradigms.

This study mainly attempted to determine the precursors of online impulse buying and purchase regret from the perspective of hedonic and experiential consumption motivation and consumer innovation. Getting reflections from cognitive dissonance theory and the post purchase evaluation, a theoretical model was developed and empirically tested for impulsive online buyers.

By integrating uses and gratification theory (UGT) and online buying behavior theory (OBBT), this study aims to examine the impact of escapism motives (self-suppression and self-expansion) and attitude toward online shopping (ATS) on eCart abandonment. In addition, the mediating role of ATS between escapism motives and eCart abandonment is examined.

Structural equations modeling was performed on the data of 400 consumers using AMOS 26.

The results indicated that escapism motivations impacted users’ eCart abandonment, and the attitude toward online shopping mediated this relationship.

The findings of this study imply that online sellers should understand the consumer motives for website use. In response, better strategies should be developed to reduce eCart abandonment.

This study extends knowledge of eCart abandonment by theoretical integration of UGT and OBBT and identification of the intrinsic predictors of virtual cart abandonment behavior. In addition, it is one of the early attempts to examine the dimensional impact of escapism on eCart abandonment.