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Customers in business-to-business markets are sellers of goods and services on their own. Thus, business-to-business suppliers may exert an influence on their customers’ buying decisions when performing marketing activities toward the customers of the customers by employing the concept of “multistage marketing”. Multi-stage marketing involves all sales-related measures which are aimed at the subsequent market stages (“customers of the customer”) which follow one or several primary customers in order to influence the buying behavior of these primary customers. Although the positive impacts of such activities are known, business-to-business companies often exclude the customers further along in the downstream supply chain from their marketing plans. But in a business-to-business context, the demand is always derived from buying decisions made further down the supply chain. The primary customers buy products or services because they want to use them – directly or indirectly – for either the production or the sale of other goods and services. Hence, derived demand, which can be traced to the end-user's primary demand, can be seen as the basis of multistage marketing.

The most common form of multistage marketing is ingredient (co-)branding, which occurs when a marketer providing an ingredient or component to an OEM advertises the ingredient to the customer of the assembled product. In addition to ingredient branding, this chapter identifies several other forms of multistage marketing and examines the underlying dimensions and processes of the phenomenon. The design of a marketing strategy using the concept of multistage marketing and its preconditions are discussed on a theoretical basis and are illustrated through concrete examples. The chapter provides a number of best practice examples in order to elucidate the issues concerning multistage marketing and its application in a company's marketing strategy serving business-to-business markets.

The purpose of this paper is to explore the possibility of identifying market segments in multistage markets and assessing whether their alignment could provide a useful managerial approach to find competitive advantage and better understand market opportunities.

Using data from a pilot project, need-based market segments from different market stages were identified and their potential alignment evaluated. The data were not designed to test hypotheses, nor were they originally intended to be used to align segments. Nevertheless, they provided a unique opportunity to explore multistage segmentation and segment alignment in a business-to-business (B2B) setting.

Overall, the findings of this exploratory study should encourage both academics and practitioners to continue to explore the possibility of studying and aligning multistage market segments. The possibility of aligning segments was demonstrated using visual alignment based on managerial judgment of data and alignment based on a combined cluster analysis of customers across the multistage markets.

First, the market research was not specifically designed to formulate and test hypotheses about the feasibility of aligning segments in multistage markets – it is an exploratory study. The research was based on a pilot project, and the survey-derived databases were conveniently available for analysis. While sample sizes were small, they are typical of many B2B markets. Second, to more effectively study complex relationships in multistage markets, it would have been desirable to include a more comprehensive set of needs. Each market stage has not only a set of their own perceived needs but also a set of perceptions of the needs of other stages. Third, as in many B2B studies, the data used in this pilot project were based on single informants.

A common complaint among firms is that B2B market segmentation does not really work that well for them. An unexplored reason for this may be that true market segmentation does not stop with one’s direct customer, but should also include the customer’s customer and so on, in a multistage market segmentation structure. One implication of the research presented here suggests that better understanding the segmentation structure in a multistage market can enlighten the opportunities and risks of implementing such a strategy. Multistage market segmentation alignment may lead to innovative positioning and message levers for the sales force to use as an argument to gain advantage according to common and unique aligned segment needs.

The process may be applied to social institutions in addition to commercial organizations.

While it is obvious that market segmentation can be applied to any single market of customers, the question of applying it to complex multistage markets needs additional exploration. The original idea in this paper is that the potential for strategically aligning multistage markets and segments can have both conceptual and managerial implications for establishing competitive advantage and more efficient and effective resource allocation. The paper shows that that such alignment is possible; however, research and research methods in this area are nascent and will require continued step-by-step learning about these complex market structures to build up to a more definitive understanding of the processes involved to guide future research and managerial thinking.

One of the case writers worked as a student in the summer of 2018 in EnoLight, which provided the inspiration for the case. The first author is not tied to the company and provides an unbiased perspective. The information presented in the case and the quotes were sourced from an interview with Farzad Moghiman in the Fall of 2018, email and phone follow-up with him, and information the second author remembered from his time at EnoLight, which was approved later by Farzad. Supplementary information was obtained from online sources, as cited in the case.

Farzad Moghiman, president of EnoLight, has a vision to revolutionize the use of light and bring it to the forefront of artistic designs. The company was founded in late 2016. Over a year was spent developing the business plan, finding additional partners, establishing the company as a limited partnership, finding and negotiating with suppliers and beta-testing its products. It is now time for Farzad to start selling as his funds, which were his lifetime savings, is running out. He knew the first decision to make was the target market. Identifying the first segment to target would help him select the distribution channel and other marketing plan elements.

The main objective of this case is to segment the market and identify the most attractive segment to target. This case offers an opportunity for students to segment both consumer and business markets and experience the significant impact of selecting the target market on other marketing mix elements. Furthermore, students are exposed to the difficulties of a start-up environment, resource constraints and a lack of market credibility – bearing these factors in mind while generating realistic alternatives. This case can be used in an introductory marketing course.

1. Apply segmentation variables to segment both business and consumer markets and understand how segmentation and targeting impact other marketing decisions.2. Evaluate different customer segments to select the target market.3. Develop the best positioning strategy for a new startup company.4. Recommend an segmentation, targeting and positioning (STP) plan that meets the company’s financial objective.

This study aims to present the conceptualization and measurement of knowledge generation competence (KGC) as the fundament for firm's internal knowledge generation. Furthermore, it seeks to assess different antecedents of a firm's KGC and its potential for improving a firm's innovativeness.

Data were collected by nationwide mail survey in the German automation and the consulting industry. The final sample consists of 110 respondents (response rate of 32.9 percent). The measurement model was tested by using structural equation modeling applying partial least squares (PLS) estimation. PLS was also used to investigate the relationships between KGC, its antecedents and innovativeness.

The findings support the conceptualization and measurement of knowledge generation competence (KGC). The included dimensions explained 47.6 percent of the variance of knowledge generation competence. Furthermore, most of the relationships included in the research model were supported by the empirical data.

The data suggest that firms which want to increase their innovativeness can develop their knowledge generation competence by providing learning orientation culture and investing in human resource practices.

The paper aids in uncovering the relationship between organizational learning, human resource practices, knowledge generation competence, and innovativeness of a firm.

Following this introduction, the Chapter 2, “A Note on Knowledge Development in Marketing,” by Amjad Hajikhani and Peter LaPlaca, examines four themes in the development of marketing management knowledge. The discussion initially considers the scientific basis for the marketing discipline, then the academic divide between academic researchers and marketing managers.

The purpose of this paper is to analyze differences between multichannel and omnichannel marketing, describe the advantages of omnichannel marketing and explain how retailers can best transition from multichannel marketing to omnichannel marketing.

The paper’s findings are based on a systemic review of the literature of academic studies, research-based studies by major consulting firms and case study reports of effective omnichannel retailers. The approach used is managerial and strategic.

Four stages are identified between a pure multichannel and a pure omnichannel marketing strategy. This multistage approach enables a firm to determine its current position, to view the gaps in its strategy in moving to the next level and to develop appropriate actions to move to the next higher level. This paper also identifies barriers to a firm implementing an omnichannel marketing strategy and describes how these barriers can be overcome.

This paper describes the advantages associated with omnichannel marketing and discusses a strategy to transition to omnichannel marketing. Barriers to adopting omnichannel marketing and how they can be overcome are analyzed.

This study makes a number of contributions to the literature on omnichannel marketing. It sets forth specific criteria for firms to determine their present stage on the multichannel marketing to omnichannel marketing hierarchy. This strategic approach provides firms with a roadmap to planning and implementing an omnichannel marketing orientation. The paper concludes with directions for future research and managerial implications and conclusions.

Previous studies explored only the direct effect of industry, company and trade show strategy influence factors on trade show performance and left the intervening processes virtually unexplored. The purpose of this paper is to provide one of the first empirical tests of the intervening role of trade show marketing processes (pre‐show promotion, at‐show selling, and post‐show follow‐up) in the relationship between resource allocation and performance of trade shows.

This study used the Directory of Chinese Export Commodities Fair Exhibitors as its sampling frame. From this directory, a systematic random sample of 1,000 firms was drawn. A final total of 444 exhibitor firms fully completed the questionnaires, resulting in a response rate of 44.4 per cent. The hypotheses were tested by regression analysis, the appropriate procedure for assessing interdependent variables, since trade show marketing processes are interdependent.

The results show that the effect of the resources variables on sales and non‐sales achievement for trade shows were not fully, but rather were partially, mediated by trade show marketing processes.

By empirically exploring the notion of partial mediation of the effects of firm resources through trade show marketing processes, this study has opened up a fruitful avenue for future research on trade show marketing.

This paper's aim is to develop an understanding of how responsiveness in a supply network may be approached from a combined relationship marketing (RM) and supply chain management (SCM) view in a complete seafood supply network context.

The paper takes the form of a case study of the upstream part of an integrated supply network from broodstock to predominately export sales.

Developing responsiveness involves two types of competence; technically generating value through the supply network through product transformations and knowing what the end‐user perceives as value. SCM is proposed as generating value through technical product‐transforming processes while RM as facilitating customer sensing through developed conceptions of value perception in the context of business relationships. Intertwining SCM and RM competencies to achieve responsive product supply is proposed by using Alderson's largely unnoticed transvection understanding of complete marketing channels.

The paper is a novel combination of business management fields evoking differences and complementarities to develop business relationships through intertwining RM and SCM to secure value realisation from an end‐user perspective from a multi‐tier supply network perspective. In business practice this approach provides a mindset and some developed models useful in both strategic planning of a company's role in a wider supply chain setting as well as guidance regarding the purpose of cross‐functional teamwork in operations.

The purpose of this paper is to develop a method to classify customers according to their value to an organization. This process is complicated by the disconnected nature of a customer record in an industry such as insurance. With large numbers of customers, it is of significant benefit to managers and company analysts to create a broad classification for all customers.

The initial step is to construct a full customer history and extract a feature set suited to customer lifetime value calculations. This feature set must then be validated to determine its ability to classify customers in broad terms.

The method successfully classifies customer data sets with an accuracy of 90%. This study also discovered that by examining the average value for key variables in each customer segment, an algorithm can label the group of clusters with an accuracy of 99.3%.

Working with a real-world data set, it is always the case that some features are unavailable as they were never recorded. This can impair the algorithm’s ability to make good classifications in all cases.

This study believes that this research makes a novel contribution as it automates the classification of customers but in addition, the approach provides a high-level classification result (recall and precision identify the best cluster configuration) and detailed insights into how each customer is classified by two validation metrics. This supports managers in terms of market spend on new and existing customers.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.