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Adalbert F.X. Wilhelm - Analysis of Large and Complex Data

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Adalbert F.X. Wilhelm Analysis of Large and Complex Data

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This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science.

The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.

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Part I
Invited Papers
Springer International Publishing Switzerland 2016
Adalbert F.X. Wilhelm and Hans A. Kestler (eds.) Analysis of Large and Complex Data Studies in Classification, Data Analysis, and Knowledge Organization 10.1007/978-3-319-25226-1_1
Latent Variables and Marketing Theory: The Paradigm Shift
Adam Sagan 1
(1)
Cracow University of Economics, Rakowicka 27, 31-510 Cracow, Poland
Adam Sagan
Email:
Abstract
An extensive discussion concerning formal, empirical, and ontological status of latent variables in psychological literature concerns the distinction between the realist and anti-realist positions within the classical test theory and item response theory (IRT) psychometric traditions in measurement of latent variables (Measurement 6:2553, 2008; Salzberger and Koller, J Bus Res 66:13071317, 2013). However, this bi-polar view seems to be too distant from the perspectives of schools of thought in the marketing discipline and actual developments of measurement models in specific fields of marketing research. An extensive discussion concerning the reflectiveformative latent variables dilemma and relational status of constructs in the contemporary marketing opens space for the redefinition of the nature and role of latent variables in marketing science. The aim of the paper is to outline the interlink between theoretical schools within marketing discipline and contemporary discussion concerning the nature and use of latent variables in marketing.
Introduction
Latent variables play an important role in testing substantive theories in various fields of social sciences including psychology, sociology, and marketing.
As many authors stress, in a formal sense, there is nothing special about latent variables (Bartholomew et al. ) but usually, they form theory-free measurement models in which only the structural part is strongly embedded in theoretical assumptions. Therefore, the measurement models in marketing and social science are less theory oriented and the theoretical framework of measurement part receives usually less attention than the structural part of SEM model.
However, the measurement model and latent variable conceptualization are also connected to theoretical assumptions and stances. This issue in model-building process is often neglected, taking the assumptions that latent variable definition and operationalization is a theory-free process based solely on statistical and numerical assumptions.
Theoretical assumptions of the latent variables and measurement models are based not only on so called small-m-methodology (assumptions of statistical model, sampling size, identification rules, etc.), but also on big-M-methodology connected with the existing paradigms, meta-theoretical assumptions and schools of thought in a given discipline (McCloskey ).
This problem is important in managerial marketing, where latent variables are regarded almost exclusively as a tool-box with the avoidance of discussion about theoretical assumptions and schools of thought in marketing in the context of big-M-methodology.
Marketing Constructs and Latent Variables Models
2.1 The Evolution of Marketing Theory
One of the earliest definitions of marketing says that Marketing is buying and selling activities. This definition was published in Miss Parloas New Cookbook and Marketing Guide around 1880 (Shaw and Jones ). The domain of marketing discipline, its constructs, theories, and methodologies is presented in Hunts three dichotomies model (1976) who tried to summarize the major aspects of the marketing field of research. He depicted three basic criteria that define marketing as a scientific discipline: (1) research objects (profit and non-profit organizations), (2) the level of analysis (micromacromarketing perspectives), and (3) research objectives (positive and normative marketing). Within this framework, the dominant schools of thought in marketing can be located. Three-dichotomy model helps us to understand the self-identity of marketing and provides a broader context of marketing discipline.
In the evolution of marketing discipline several schools and research paradigms have emerged (Jones et al. presents the dominant schools of thought within the marketing discipline.
Fig 1 Marketing schools and research paradigms The variety of approaches - photo 1
Fig. 1
Marketing schools and research paradigms
The variety of approaches can be summarized in three dominant views (paradigms).
  1. The cognitive view, based on the realist paradigm that underlines the problems of causality, functional relations between marketing concepts and, referring to Hunt, takes macro and positive perspective on marketing. Historically, the cognitive view is close to famous Bartels question in the origin era of scientific marketingcan marketing be a science? (Bartels ).
    The cognitive view encompassed many schools of thought like distributional, macro-marketing and social exchange, system school, and information processing theory (IPT) in the field of consumer research.
  2. The behavioral view, which is rooted in a predictive-instrumental approach and toolbox analogy of marketing. This approach, mostly popularized and developed by P. Kotler and J. McCarthy textbooks, is more micro and normative oriented. The main schools of thought are managerial, functional, CRM and behavioral perspective models (BPM) in the consumer theory. This view of marketing is labelled also as mainstream or transactional.
  3. The relationship marketing school opens the perspective for contextual, service- and process-oriented view on marketing as a business domain integrator (Vargo and Lusch ). Within this perspective several schools are present i.e. the neo-institutional, Nordic school of relationship marketing, Interactive Marketing and Purchasing (IMP) group and Service-Dominant Logic approach.
2.2 Domains of Marketing Constructs
The variety of marketing schools outlined above implies many different methodological orientations, ways of construct definition, and approaches to model building. To simplify this view we can distinguish between two dimensions: (1) the type of causal explanation (predictionpostdiction) and (2) the nature of marketing constructs (descriptiverelational). The first dimension represents the way of causal explanation. In predictive, experimental, and nomothetic approach the objective is to predict future (new) phenomena based on the present (existing) data. In postdictive, historical and idiographic approach, one can explain the past and originated causes on the basis of present data. The second dimension deals with the nature of marketing variables. Descriptive variables are subject-oriented and are used to describe the positional characteristics of subjects under study, like socio-demographic, attitudes, preferences, and values. Relational variables in marketing describe the results of interactions, joint actions of the partners (mutual trust, information asymmetry, loyalty, etc.).
In the classification depicted in Fig., the four basic methodological stances of marketing models can be identified.
Fig 2 Marketing constructs and research domain The first upper left - photo 2
Fig. 2
Marketing constructs and research domain
The first (upper left) represents the predictive models based on descriptive marketing constructs. This is the mainstream of managerial marketing, and market-based relationship management (M-B RM). The BPM, consumer metrics indices are defined to measure variables like market shares, preferences and choices, consumer lifetime values (CLV), etc.
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