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This chapter reports the findings of a large-scale study investigating the issues that arise when firms introduce a new Internet channel. Our analysis offers three key contributions. First, we provide a framework to guide firms in anticipating and understanding the unique challenges of introducing an Internet channel. Second, we present a menu of alternatives to address these challenges. Finally, we pose a series of questions which identify which solutions are most appropriate given the particular market and firm context.

This chapter first examines the role of attention in the garbage can model of decision making and compares it both to prior approaches in the Carnegie School tradition and the attention-based view of the firm. Both the garbage can model and the attention-based view rely on the same assumption, one that is rarely recognized nor understood – that organizational decision making is characterized by situated attention, where organizational participants vary across time and place in what they attend to. In the garbage can model, decision opportunities are the temporal contexts for situated attention; in the attention-based view, attention is situated in both time and place within the organization's communication channels. In the garbage can, situated attention is also shaped by the ecology of problems and opportunities competing for attention. The final part examines the determinants and consequences of tight versus loose coupling of channels in organizations and its effects on participants’ situated attention. Attention structures external to channels and the architecture of channel structures shape the degree of coupling found in organizations. In viewing coupling as a variable, the chapter suggests that a modified garbage can model, combined with an increased focus on situated attention, provides the foundations for a more general theory of nonroutine decision making.

Besides having an important place in the daily lives of today’s consumers, technology impacts consumer behavior in variety of ways such as giving direction to their buying behavior, changing the characteristics that they expect from a product and the value they perceive, and influencing their satisfaction about the product. When omnichannel marketing is analyzed in this respect, it is an important issue that should be considered for the success of the marketing activities of the enterprises. This chapter will explain the single channel first and then multichannel marketing and omnichannel marketing concepts. The potential effects of omnichannel usage on issues about consumer behavior such as brand loyalty, customer satisfaction, perceived brand value, and buying behavior will be explained in detail. Then, the characteristics of the consumers using omnichannel and the factors affecting the success of these continents in terms of both consumers and businesses will be discussed. In this chapter, omnichannel marketing application examples will also be discussed in detail.

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.

The aim of this chapter is to investigate factors affecting four of the gaps encompassed in the GAP model, which then results in Gap 5, the so-called customer gap, related to the variance between customer expectations and the perception of service quality (SQ). Four predictors were selected based on the literature review – marketing research orientation (MRO), service specification design (SSD), integrated technology (ITC) and integrated communication (ICO) – to examine their relationship with the customer gap. A valid and reliable questionnaire, developed for the purpose of the study, was used to collect data from a sample consisting of 600 employees from six hotels located in Amman, Jordan. The findings show that MRO, SSD, ITC and ICO significantly predict the four gaps in SQ on the provider side, which in turn significantly predict the customer gap. For companies, more attention should be paid to the four gaps that induce the customer gap.

After having drawn lessons from the recent COVID-19 pandemic for retailers in the previous chapters, in this last chapter we provide an outline on retailing over a longer time horizon. We start with projections of how the phygitalization trend in retailing will further evolve and what role data plays as a basis for a competitive advantage – on the condition of smart and ethical use. Besides looking at customers (downstream), we address the upstream in the value delivery network, focusing on how to succeed in balancing between efficiency and sustainability in the retail supply chain. Retailers face huge challenges. This chapter contributes to setting the scene for retailers to thrive in the brand-new post-pandemic aftermath.