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Missing in most of the research on selling has been an examination of the process from the point of view of the customer. When satisfaction in selling has been considered, researchers have focused on the satisfaction of the salesperson with his job and/or the impact of this job satisfaction on performance (e.g. Bluen, Barling & Burns, 1990; Churchill, Ford & Walker, 1979; Pruden & Peterson, 1971). To concentrate on salesperson performance while neglecting customers is to ignore the most important half of the relationship between buyers and sellers and entirely disregards the marketing concept and the streams of research in customer satisfaction. This research takes a different approach and examines customers’ satisfaction with salespeople.

The purpose of this paper is to highlight the particularities of the time consumption of transactions performed in an insurance firm and the prospective impact on costing.

This paper uses the results of an archival study conducted on data collected in an insurance firm.

The results suggest that the reasons underlying the heterogeneity of transactions’ time consumption are multiple and rule out a systematic and unique explanation. They lend support to the importance of the “human effect” in explaining the time consumption of service transactions and support the need for more research into the evolution of marketing thought that subordinates the concept of transaction to the concept of relationship. In addition, our results not only suggest that the drivers of time consumption and their importance are contingent on the type of service activity performed within the same firm, but also that inside a generic service activity, deviations in time consumption remain due to the provision of specific services.

Services have their own characteristics which make it difficult to trace their resource consumption. Yet limited research has focused on examining the impact of services’ characteristics on predicting costs. Our findings contribute to our understanding of such impact and cast doubt on the possibility of obtaining accurate costs for very detailed transactions for an acceptable cost-benefit trade-off.

This paper reports the results of a three-year-long research on business relationships, relying on qualitative data gathered through multiple-case study research of four focal companies operating in Australia. The industry settings are as follows: steel construction, vegetable oils trading, aluminum and steel can manufacture, and imaging solutions. The research analyzes two main aspects of relationships: structure and process. This paper deals with structure describing it by the most desired features of intercompany relationships for each focal company. The primary research data have been coded drawing on extant research into business relationships. The main outcome of this part of the research is a five construct model composed by trust, commitment, bonds, distance, and information sharing that accounts for all informants’ utterances about relationship structure.

This chapter has been seminal work of Dr K.S.S. Iyer, which has taken time to develop, for over the last 56 years to be presented here. The method in advance predictive analytics has developed, from his several other applications, in predictive modeling by using the stochastic point process technique. In the chapter on advance predictive analytics, Dr Iyer is collecting his approaches and generalizing it in this chapter. In this chapter, two of the techniques of stochastic point process known as Product Density and Random point process used in modelling problems in High energy particles and cancer, are redefined to suit problems currently in demand in IoT and customer equity in marketing (Iyer, Patil, & Chetlapalli, 2014b). This formulation arises from these techniques being used in different fields like energy requirement in Internet of Things (IoT) devices, growth of cancer cells, cosmic rays’ study, to customer equity and many more approaches.

This qualitative study collected regarding recalled service encounters by consumers across a broad range of encounters not just in service failures found respondents recalled service encounters from the hospitality leisure industry in 42% of encounters. Usually, the consumer recalls and reports at least two types of fairness when recalling a service encounter with procedural fairness the most reported, followed by interactional and then distributive fairness. The study suggests using fairness across a spectrum of service encounters and not just when a service failure is recalled and is also the first hospitality or service sector study to view service encounter outcomes into types of initial satisfaction, service recovery, and double deviation and then to follow up by assessing fairness types across outcomes.

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.