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The chapter investigates factors shaping convenience orientation in the 21st century as well as present-day barriers to the consumption of food and non-food convenience products.

A qualitative research approach with two kinds of data triangulation is used. Multiple key informants (marketing managers and consumers) allow a consideration from different angles and multiple methodologies (in-depth and focus group interviews) help to gain deeper insights into the topic.

Convenience orientation comprises dimensions that were previously not considered in marketing research. In addition to the known factors time and effort saving, consumers buy convenience products because of the flexibility they provide. Moreover, concerns for health, environment, and quality are important barriers that prevent consumers from buying and consuming convenience products.

Our results suggest that factors increasing and decreasing convenience consumption depend at least partly on the product category. Future research should integrate various other product groups to further explore domain-specific convenience orientation.

The conceptualization of convenience orientation offers important implications for new product development as well as for the design of the marketing mix. For instance, existing barriers could be overcome by improving transparency or meeting environmental concerns.

The chapter reveals the factors shaping the consumption of convenience products. The presented findings are important to academics researching convenience consumption and practitioners producing and distributing convenience products.

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.

Financial technology or FinTech companies are relatively new players in the market. The ideas of alternative options to banks were widely discussed since October 2008 when Satoshi Nakamoto published a paper “Bitcoin: A Peer-to-Peer Electronic Cash System.” Since this topic is not yet thoroughly studied and investigated, it especially appeals to the author to elaborate on that topic and follow the evolution and development of FinTech as well as its influence over banks. Without no doubt there will be brought up probable limitations and challenges that could decelerate the advancement of fresh alternative to traditional banking. The development of technology in the financial sector has led to the formation of a new financial and technological ecosystem. Revolutionary innovations in the field of financial services arise in the interaction of both organizations among themselves and organizations with customers. In the interaction between organizations, new companies appear that develop and offer technologies in the field of payment services at a lower price and on more favorable terms, unlike financial organizations.

Received histories present national accounts as universal, purely economic measures based mostly on theoretical foundations. This paper argues that this is an anachronistic approach to the long and uneven development of these estimates and builds on geopolitical economy to examine national income estimates as quantifications of state power. First, it reveals national income accounts to be historically and geographically contingent rather than universal, suggesting contestation instead of any hegemony or dominance of one central ideology. Second, the economic power and motivations of nation-states, rather than economic theory, are at the core of the design of national income estimates, which are used to promote states’ position in international competition as well as advocate for particular national economic policies. The history of national accounting closely tracks the rise of the nation-state, the unique phase of British hegemony, the two World Wars, the east-west competition of the Cold War, and the north-south competition of the recent two decades. To this day, revisions to national accounting systems reflect the shifting balance of power and incessant international competition.

The purpose of the chapter was to examine the impact of customer care chatbots on customer satisfaction levels in the mobile telephony industry in Zimbabwe, with a special focus on the company Econet Wireless. This chapter shows the conceptual framework used. An online questionnaire was administered to a sample of 100 Econet Wireless subscribers who were selected using probability stratified random sampling from Zimbabwe’s 10 provinces. The research data were collected and analysed for correlation, and a multiple regression analysis was carried out to identify the relationship between customer satisfaction and the three customer service improvements brought in by the introduction of customer service chatbots. The study discovered that there is a positive relationship between customer satisfaction levels and each of the three customer service improvements brought in by customer service chatbots, namely customer service convenience, speed of response, and omnichannel strategies. This study thereby proves that the introduction of customer service chatbots in the mobile telephony industry in Zimbabwe can lead to an improvement in customer satisfaction levels. However, addressing service quality only as a determinant of customer satisfaction in isolation is not sufficient to fully improve customer satisfaction levels. Therefore, organisations that seek to improve their customer satisfaction should consider strategies that address all determinants of customer satisfaction, namely price, product quality, service quality, situational factors, and personal factors. This study contributes to the body of knowledge, particularly regarding the use of artificial intelligence (AI) for customer service in developing economies.

Over the last decade, customer experience management has gradually emerged as the most important activity for organisations. Organisations have turned towards leveraging the ubiquitous and easy-to-use technology in enhancing and enabling experience for the time-crunched customers of today who are looking for greater convenience and choices. It is therefore not surprising that disruptive technologies such as smartphones, virtual and augmented reality, cloud computing, big data analytics, Internet of things, artificial intelligence and robotics have also found their way into the design of customer experience. This chapter aims to present an overview of the technologies that have transformed the customer experience landscape. This chapter contributes by showcasing two illustrative cases from very diverse domains, a private sector bank and a public sector transportation organisation, to elucidate how India, a rapidly developing economy, is embracing technology to enhance the customer experience.

The aim of this chapter is to delineate a product framework concerning managed visitor attractions (MVA), which highlights the supply-chain aspects of destinations. It first touches on the rationales for developing such a framework and then constructs a framework composed of a set of product components deriving from the extant literature. Consequently, an version of a product component framework, fastening on an accumulated sample of attraction cases, is presented through three illustrative cases. In the conclusion section, this study elaborates on the study limitation while connoting how the resultant data could shed light on the role of the components of the MVA product in the creation of visitor experiences.

This chapter aims to examine the role of consumer demographics over the chosen parameters of online shopping. Online shopping had emerged as an important platform for the consumers during the phase of pandemic spread in India which even included several phases of lockdowns. The state of pandemic commenced at a severe note leading to restrictive movement, social distancing, observing least contact with objects, and several other limitations. Due to this, many businesses had moved to online selling in order to target greater sales. This study was conducted in order to provide insights to various businesses, experts, and academic researchers in this domain to find out the role of demographical and behavioral differences of different consumer segments. It could serve as a robust study providing information about the current consumer behavior at the time of pandemic spread toward online shopping. This would help marketing experts explore the different opportunities and challenges involved in this new scenario formed due to COVID-19. Apart from adding value to the existing literature, this study leads a way to future research.

Traditional sets of attributes characterizing shopping centres need to be updated to relate to new specific consumers' needs and choices, to ensure the survival of shopping centres. To this end, this chapter revisits shopping centres’ attributes in the light of consumers' choices of actual centres, taking into account the recent increasing role of technologies, leisure activities and changes in consumer behaviour. In doing so, we aim to improve perceptions of modernity and help to regenerate (or at least mitigate the decline of) shopping centres. Specifically, the new set of attributes include appearance (external appearance), convenience, entertainment and leisure activities, memorable experiences, green place and policy, image (modern image), price, service, size and technology.