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Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

It seems that the Internet boom, which started at the end of the 1990s and finished with the spectacular collapse of the so-called dotcoms, is probably over. We are currently enjoying a period of fast and stable growth. This is manifested by the growing number of both Internet users and companies which – to an ever-increasing extent – use the Internet as a form of communication (both internal and external), promotion, sales etc. Expenditures on Internet advertising are growing continuously and now constitute more than 25% of all advertising expenditure. A natural consequence of this development is the need for the standardisation and organisation of the world of the Internet. These activities will result in a greater awareness of the benefits which this medium provides, increasing the possibilities of its use, and – most importantly – the opportunity to evaluate the return on investments made on the Internet. Nowadays, it is clear that many companies are striving to increase the quality of their activities on the Internet or to improve the effectiveness of such activities. As a consequence, the number of companies that look for indices which would enable the making of more precise and effective decisions in the scope of online operations is growing.

This chapter is dedicated to the phenomenon of the increasing role of the Internet in business, including the scale of its use by Polish and international companies. We present the most commonly used measures of marketing activities on the Internet and in social media. This group includes the indices which make it possible to determine whether a company actually needs a website. Other measures allow for the improvement in the effectiveness of the activity on the Internet, whereas others specify the costs of activities on the Internet and often serve as the basis for settlements between a company and advertising agencies or companies specialising in website design. It is worth emphasising that the Paid, Earned, Shared, Owned (PESO) model, worked out by Don Bartholomew,¹ is the basis for creation and description of indices concerning social media. This model has gained certain popularity in the social media industry. It does not, however, specify how individual indices should be named and calculated. It maps already existing indices and adapts them to specific levels of marketing communication measurement. All the measures indicated by the author of the model have been grouped into five major areas: exposure, engagement, brand awareness, action and recommendations. This model– similarly to all models of performance measurement – inspired by the sales funnel concept, adjusts certain standard indices and proposals of measurements for specific levels. Additionally, the measures are divided into four types, depending on who the owner of the content is: Paid (P) – refers to all forms of paid content; Owned (O) – all websites and web properties controlled by a company or brand; Earned (E) – the contents about a given brand created spontaneously by Internet users; and Shared (S) – the contents shared by Internet users.

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.

Understanding the customer has been the focus of attention of businesses and academia for many decades. Starting in 1960s, complex buyer behavior models developed by Nicosia, by Howard and Sheth (1969), were followed by Engel, Blackwell and Miniard in 1978 (Engel, Blackwell, & Miniard, 1990) to understand the buying process, shaping the thoughts today about consumers’ experiences in an omnichannel world. Interest in customer perceptions and expectations (Parasuraman, Berry, & Zeithaml, 1991), SERVQUAL (Parasuraman, Zeithaml, & Leonard, 1985) and SERVPERV (Cronin & Taylor, 1994) moved the academia to discuss the relationship marketing (Morgan & Hunt, 1994; Parvatiyar & Sheth, 1999; Peterson, 1995; Sheth & Parvatiyar, 1995). Wilson’s model (1995) of buyer–seller relationships extended the former models with additional concepts like social bonds, comparison level of alternatives, power roles, technology, structural bonds and cooperation as influencers on relationship development stages. His emphasis reflects a high relevancy in the omnichannel world of customers’ interactions today. Winer (2001), a pioneer to discuss the customer relationship management focused on a database to know about customers’ purchase history and interests. The millennium look at customer lifetime value is again relationship focused. For Fader, Hardie, and Lee (2005) rather the long-term focus of the consumer value and actions are important to understand the loyalty and nonlinear nature of relations. While Reinartz and Kumar (2003) focused on profitable customer lifetime and customer heterogeneity, Verhoef (2003) analyzed the impact of customers’ relationship perceptions and relationship marketing instruments on both customer retention and customer share development. The customer-centric thinking was first discussed by Grönroos (2006) within a new definition of marketing. The service dominant logic (Vargo & Lusch, 2008) resulted in the next highlight, the co-creation of value with customer involvement and customer advisory (Güngör, 2012; Güngör & Bilgin, 2011; Messner, 2007) empowering the customers and giving them the control over the supplier networks. Different factors will be influential at different stages of the buying process of customer clusters. The Web- and non-Web-based customer-centric measures can be multifold. Andersson, Movin, Mähring, Teigland, and Wennberg (2018) and Bank (2018) emphasize the importance of technology readiness focus throughout the customer–supplier journey. The question to be answered is, to which extent the empowered customers and the suppliers of this age are ready to adopt, embrace and finally use new technologies in the omnichannel world of holistic interactions that form new visions, expectations, values and desires in a tremendous speed. Ideas and experiences are shared and exchanged in online communities without the need of the involvement of the suppliers. This “holistic view” challenges firms further through the seamlessness it requires to create unity. Customer-centric research needs a new push for the development of instruments and measures to cope with the consumer decision process challenges. Process thinking is needed to capture the purchasing habits in an omnichannel world and to build a new thought for customer journey experience with the aim to understand technology-linked value propositions of customer clusters to optimize channel interactions. Customer journeys have to focus and describe the online/offline experiences at the hybrid shopping mile, trace the behavioral influential factors of the customers’ and sellers’ world in a technological environment. This chapter will discuss “Technology based Orbit Interactions” for “The Hybrid Shopping Mile and its Customer Journey Mapping” with a “Customer Intelligence Framework.” The outcome of the hybrid customer journey mapping gives orientation for customer-management decisions in developing new approaches.

This article reviews the quantitative marketing literature on artificial intelligence (AI) through an economics lens. We apply the framework in Prediction Machines: The Simple Economics of Artificial Intelligence to systematically categorize 96 research papers on AI in marketing academia into five levels of impact, which are prediction, decision, tool, strategy, and society. For each paper, we further identify each individual component of a task, the research question, the AI model used, and the broad decision type. Overall, we find there are fewer marketing papers focusing on strategy and society, and accordingly, we discuss future research opportunities in those areas.

This study explores the importance of application search engine (ASE) technology in the omni-channel strategy. For this purpose, this chapter firstly explains the concepts of the omni-channel and the search engines and the importance of them. Then, omni-channel in the framework of ASEs is discussed. Finally, recommendations for further researches are presented.

This chapter integrates research that highlights and demonstrates the importance of the marketing mix and customer attitudinal metrics in influencing the customer’s path to purchase. A key objective of this chapter is the provision of an integrative conceptual framework that links marketing actions to customer mindset metrics along the consumer’s path to purchase and the identification of the mechanisms by which customer mindset metrics contribute to consumer purchase journey. Specifically, it delineates two routes for the effects to manifest on sales: the “mindset route” where marketing actions influence customer mindset metrics, which in turn influence brand performance, or the “transactions route” where marketing actions influence market performance directly without influencing the intermediate mindset metrics. A second objective is to identify empirical patterns on incorporating marketing mix and mindset metrics along the path to purchase by reviewing key papers in this domain. Finally, the chapter concludes with the formulation of a rich, forward-looking research agenda on the customer mindset metrics – path to purchase link.

Together with developing information and communication technologies and the increasing use of the Internet, there have been changes in the behaviors of the consumers during the purchasing decision process. Today’s consumers realize most of the decision process phases (such as gathering the information, determining the alternatives, evaluating the alternatives and even purchasing) from the Internet. Tourists who would like to purchase a holiday are also using the Internet during their holiday decision process. Today, websites which became an increasingly popular information source for the consumers play a significant role in potential visitors/tourists’ choices related to the destinations. Websites are used as a distribution and marketing tool in promotion and marketing of the tourism destinations. In this context, the design and content of the destination websites should be on a level which would attract and satisfy the tourists. In this chapter, the author will primarily discourse the visual and auditory factors which affect the perception of tourists and the application areas of these factors in website design. Then, the subjects such as the key features of the websites, information that should be provided on websites, the design of the website and their functions will be covered. The parameters that should be taken under consideration in order to evaluate the performance of a website and the evaluation criteria for the sites will also be included within the context of this chapter. In this chapter, the author will also discourse the benefits that the websites provide for destinations and the success factors of the destination websites. In the conclusion section of this chapter, the author will provide propositions related to the factors that should be taken under consideration in destination website design.