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Purpose: The goal of the chapter is to define customer attitudes towards robots in travel, tourism and hospitality (TTH) and to analyse their most significant characteristics.

Design/methodology/approach: The book chapter develops a conceptual framework of attitudes towards robots in travel, tourism and hospitality, based on critical analysis of relevant publications.

Findings: The chapter provides a definition and discussion of the characteristics of customer attitudes towards robots in TTH. It elaborates the structural elements of attitudes towards robots, and the links and interactions between the elements.

Research limitations: Research limitations stem from the small number of studies on customer attitudes towards robots in TTH.

Practical implications: The theoretical analysis can be used as a starting point for empirical studies of customer attitudes towards robots in travel, tourism and hospitality.

Social implication: Combined services, based on human employee-service robot collaboration, are the optimal decision for forming favourable customer attitudes towards robotisation and automation in tourism and hospitality. In that way clients’ needs of high technological convenience, interpersonal communication and socialisation are met simultaneously.

Originality/value: This research is among the few publications that study customer attitudes towards robots in travel, tourism and hospitality. The authors develop a matrix of users’ attitudes and behaviours when using robots in travel, tourism and hospitality.

India is a home to the second largest Muslim population in the world. It is equally crucial to understand the attitude of non-Muslim population towards the interest-free banking in India. The firms desirous of entering into this nascent field in India are required to know the aspirations and motivations of both Muslims and non-Muslims with respect to interest-free banking. For a large number of Muslims interest-free banking may be a matter of adhering to their faith, but for the non-Muslim customers it has to address real issues like security, risk minimisation, profitability, etc.

The present study is an attempt to understand the perceptions of Indian customers towards Islamic banking. For this purpose, a representative sample of 259 respondents is surveyed with the help of a structured questionnaire developed for this purpose.

It has been found that there are differences in the attitude of Muslims and non-Muslims towards Islamic banking. Surprisingly both groups have a similar perception about the institutions of Islamic banking. Findings of the study reveal that the attitude of Indian customers can be classified into factors like awareness, ideology, implementation, features and institutions. Therefore, such factors should be considered seriously by the Islamic banks in designing their marketing strategies.

This is a survey-based study. Hence a representative sample is mandatory. Due care has been taken to arrive at a sample size which is representative of the population; however, a large sample size shall lead to better results.

This study can help decision makers to identify the major factors that may shape the attitude of Indian customers towards Islamic banks. This should also be of some help to the management of commercial banks in devising appropriate marketing strategies for reaching and attracting young customers.

The originality of this study lies in the fact that it is a pioneering study in the Indian context which brings out the attitudinal differences between Muslims and non-Muslims with respect to Islamic banking. Further, the classification of attitude of Indian customers into factors like awareness, ideology, implementation, features and institutions adds to the originality of the study. Both these aspects of this study add value to the existing literature in the field of Islamic banking.

The service-profit chain model (Heskett, Jones, Loverman, Sasser, & Schlesinger, 1994) highlights the well-documented relationship between employee and customer attitudes suggesting that employees who are satisfied and engaged with their work provide better customer service resulting in higher levels of customer satisfaction and, ultimately, driving firm revenue. The authors propose an expansion of the service-profit margin identifying the leadership behaviors that create positive employee attitudes and engagement. Specifically, the authors suggest that leaders who focus on recognition, involvement, growth and development, health and safety, and teamwork (Kelloway, Nielsen, & Dimoff, 2017) create a psychologically healthy workplace for customer service providers and, ultimately, an enhanced customer experience.

In this chapter, we have presented four case studies of the firms which are operating in the medium complete adapting countries. The four cases are Arvidsson Textile Share Company in Estonia, Partec Rockwool in Lithuania, Accel Share Company in Lithuania and Ragn-Sells in Estonia. The case studies are prepared following the structure of the theoretical framework applied in this book. We have found out that the performance of Arvidsson Textile Share Company is successful as it matches the expectations if the partners and it has remained to be more or less the same since its establishment. The performance of Partec Rockwool was also successful from the very beginning until it was replaced by the fully owned firm. Accel Share Company's operations in Lithuania was successful from the very beginning as it found the right people with the right competence in the local market. In the case of Ragn-Sells in Estonia, the alliance was successful but not up to the full expectation.

Retailers increasingly experiment with a wide variety of store elements; this chapter focuses on in-store marketing tactics and reports the results of 12 in-store experiments conducted in cooperation with different retail chains. Experiments 1–3 address in-store signage (digital, floor) and reveal that digital screens and signage can draw customers toward merchandise and deeper into shopping aisles. Experiments 4–6 explore the impact of the organization of a display (vertical, horizontal, diagonal, waterfall) and generally demonstrate the superiority of vertical organizations of merchandise. In Experiments 7–9, results pertaining to the location of a product in a store highlight the importance of placing merchandise at eye level. With Experiments 10 and 11, the authors reinforce the importance of retail atmospherics (scent, lighting). Finally, Experiment 12 explores product placement and other factors that can enhance the effectiveness of in-store merchandise demonstrations.

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.

Luxury goods manufacturers may find it profitable to enter a different demographic segment, and several strategies are available to do so. Nevertheless, such market expansion can be risky, and the luxury goods company must avoid tarnishing the equity contained in the luxury brand. This study examines the effects of a co-branding strategy between luxury brands and retailers on consumers’ evaluation of the luxury brand's image. We use information integration theory (IIT) as the basis for our study, as it can be used to explore how attitudes are formed and changed as new information is combined with existing cognitions and thoughts. A theoretical model based on IIT is built and empirically tested using a sample of 240 Taiwanese adult consumers. We conduct an experimental survey study in which we manipulate luxury brand familiarity and product and brand fit between luxury brand and the co-brand, and assess prior-attitudes and post-attitudes toward the luxury brand and attitudes toward the co-brand. We find support for many of our hypotheses: prior-attitudes toward the luxury brand is positively related to the attitude toward the co-brand, brand fit is related to attitudes toward the co-brand, and brand fit is marginally related to the post-attitude toward the luxury brand. Other hypotheses, however (such as those regarding product fit) were not supported. We conclude by discussing our theoretical and managerial contributions.

This paper focuses on customer value analysis and measurement, framing customer value management as one of the main antecedents of the company value-creation process. The paper builds on three main pillars. First, the paper highlights the critical role of customer value in business-to-business markets, focusing on the links between the company's ability to manage customer value-creation processes and the positive financial and economic outcomes generated by loyalty effects. Secondly, the paper develops key analytical stages for an understanding of customer value. The focus is on the customer value-chain concept, including consideration of the customer information and acquisition process and its decision rules. Third, the paper illustrates the measurement process, offering an organizational framework for selecting the most suitable method for measuring perceived customer value. The methodological alternatives range from desk measures (e.g., technical computation of the total cost of ownership (TCO)) to field analysis, like those considered under both compositional and the decomposition approaches (e.g., conjoint analysis). The paper concludes with remarks on the managerial implications of these measures, as well as offering suggestions for further research on value for the customer.