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This study provides a comprehensive framework of adaptation in triadic business relationship settings in the service sector. The framework is based on the industrial network approach (see, e.g., Axelsson & Easton, 1992; Håkansson & Snehota, 1995a). The study describes how adaptations initiate, how they progress, and what the outcomes of these adaptations are. Furthermore, the framework takes into account how adaptations spread in triadic relationship settings. The empirical context is corporate travel management, which is a chain of activities where an industrial enterprise, and its preferred travel agency and service supplier partners combine their resources. The scientific philosophy, on which the knowledge creation is based, is realist ontology. Epistemologically, the study relies on constructionist processes and interpretation. Case studies with in-depth interviews are the main source of data.

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 chapter will examine the rise and downfall of the Irish Green Party from a party of protest through their elevation as junior coalition partners in the national government from 2007 until 2011. An ‘Event History Analysis’ (EHA) (Berry & Berry, 1990) through an ‘Issue History’ (Szasz, 1994) will be applied to the key events in this process, in order to illustrate the key motivations, moments, potential successes and enduring difficulties which emerged during this time. An Event History Analysis provides an explanation for ‘a qualitative change’ that occurs as a result of key events in an organisation's history (Berry & Berry, 1990). An Issue History requires a trans-disciplinary analysis of events using theories and methods from history, sociology, political science, sources from the state, the media, surveys and the social movements, in addition to theories of political economy and postmodernism, to analyse various interrelated facets of the salient ‘issue’ being studied (Szasz, 2004, 2008).

The study here responds to the view that the crucial problem in strategic management (research) is firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. The present study applies complexity theory tenets and a “neo-configurational perspective” of Misangyi et al. (2016) in proposing complex antecedent conditions affecting complex outcome conditions. Rather than examining variable directional relationships using null hypotheses statistical tests, the study examines case-based conditions using somewhat precise outcome tests (SPOT). The complex outcome conditions include firms with high financial performances in declining markets and firms with low financial performances in growing markets – the study focuses on seemingly paradoxical outcomes. The study here examines firm strategies and outcomes for separate samples of cross-sectional data of manufacturing firms with headquarters in one of two nations: Finland (n = 820) and Hungary (n = 300). The study includes examining the predictive validities of the models. The study contributes conceptual advances of complex firm orientation configurations and complex firm performance capabilities configurations as mediating conditions between firmographics, firm resources, and the two final complex outcome conditions (high performance in declining markets and low performance in growing markets). The study contributes by showing how fuzzy-logic computing with words (Zadeh, 1966) advances strategic management research toward achieving requisite variety to overcome the theory-analytic mismatch pervasive currently in the discipline (Fiss, 2007, 2011) – thus, this study is a useful step toward solving the crucial problem of how to explain firm heterogeneity.