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This volume includes the full proceedings from the 1998 Academy of Marketing Science (AMS) Annual Conference held in Norfolk, Virginia. The research and presentations offered in this volume cover many aspects of marketing science including marketing strategy, consumer behaviour, entrepreneurial marketing, international marketing, advertising, marketing education, among others. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complimenting the Academy’s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review. Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science.
These proceedings gather outstanding research papers presented at the Second International Conference on Data Engineering 2015 (DaEng-2015) and offer a consolidated overview of the latest developments in databases, information retrieval, data mining and knowledge management. The conference brought together researchers and practitioners from academia and industry to address key challenges in these fields, discuss advanced data engineering concepts and form new collaborations. The topics covered include but are not limited to: • Data engineering • Big data • Data and knowledge visualization • Data management • Data mining and warehousing • Data privacy & security • Database theory • Heterogeneous databases • Knowledge discovery in databases • Mobile, grid and cloud computing • Knowledge management • Parallel and distributed data • Temporal data • Web data, services and information engineering • Decision support systems • E-Business engineering and management • E-commerce and e-learning • Geographical information systems • Information management • Information quality and strategy • Information retrieval, integration and visualization • Information security • Information systems and technologies
by Paul E. Green I am honored and pleased to respond to authors request to write a Fore word for this excellent collection of essays on conjoint analysis and related topics. While a number of survey articles and sporadic book chapters have appeared on the subject, to the best of my knowledge this book represents the first volume of contributed essays on conjoint analysis. The book re flects not only the geographical diversity of its contributors but also the variety and depth of their topics. The development of conjoint analysis and its application to marketing and business research is noteworthy, both in its eclectic roots (psychometrics, statistics, operations research, economics) and the fact that its development reflects the efforts of a large variety of professionals -academics, market ing research consultants, industry practitioners, and software developers. Reasons for the early success and diffusion of conjoint analysis are not hard to find. First, by the early sixties, precursory psychometric techniques (e.g., multidimensional scaling and correspondence analysis, cluster analy sis, and general multivariate techniques) had already shown their value in practical business research and application. Second, conjoint analysis pro vided a new and powerful array of methods for tackling the important problem of representing and predicting buyer preference judgments and choice behavior-clearly a major problem area in marketing.
Inhaltsangabe:Zusammenfassung: Die vorliegende Arbeit (in Englisch) beschäftigt sich mit der Integration der Methodik Conjointanalyse (CA) in den Quality Function Deployment Prozeß, um den QFD-Prozeß in Entscheidungs- und Bewertungssituationen zu unterstützen. Im Mittelpunkt steht dabei die Untersuchung der gängigen Conjointmethoden auf Anwendbarkeit und Eignung für groß angelegte Studien, wie z. B. QFD-Anwendungen. Detailliert wird dabei auf eine Erweiterung oder Unterstützung der Conjointanalyse eingegangen, um eine Vielzahl an Merkmalen und Merkmalsausprägungen (Kundenanforderungen) berücksichtigen zu können. Die kommerzielle Anwendung der einzelnen Methodiken, eine Fragebogenauswertung sowie ein Vergleich von 21 CA- und 3 der bekanntesten QFD Software-tools runden diese Arbeit ab. Abstract: This paper is structured into 5 chapters: Chapter 1 contains an introduction into the problem area and the aim of the thesis. Moreover, it gives a survey of the procedure to reach the target of extending and supporting several Conjoint Analysis methodologies to be able for an integration into the Quality Function Deployment approach with its huge amount of customer requirements (attributes and levels). Chapter 2 shows the integration of Conjoint Analysis and Quality Function Deployment into the Total Quality Management concept as quality improving, customer orientated (key word mass customization), and cost reducing tools. The importance to support Quality Function Deployment by Conjoint Analysis is pointed out to lead over to the main chapter of the paper. Chapter 3 is dedicated to several Conjoint Analysis models and the way in which to extend and support these methods, so that an integration into a large industrial study such as a Quality Function Deployment application can take place without any problems. To this purpose several conjoint techniques are described in detail, are extended by further techniques, and are compared to each other concerning their validity so that, finally, explicit recommendations can be given. The commercial use of Conjoint Analysis and the method transfer into several software-tools round off this chapter. Chapter 4 describes the Quality Function Deployment methodology in relation to the aim of this paper. The central subject is the House of Quality and its places where the Conjoint Analysis technique(s) can be applied. Results about the commercial use of several software-tools finish this chapter. Chapter 5 sums up [...]
​This dissertation elaborates differences and similarities of forms of ethical behaviour in general and analyses whether German consumers differentiate between different types of ethical behaviour in particular. The thesis is characterised by its intensive combination of theoretical and empirical research. It furthermore contributes to the literature as the method triangulation applied in the different surveys reveals previously unknown relationships between different kinds of ethical behaviour, such as ethical consumption and charitable giving, as well as between different forms of ethical products. Choice experiment, latent class analysis, information display matrix and item-based attitude assessment allowed the comparison of stated and revealed preferences as well as an analysis of the relevance of ethical product features within the context of different product and process attributes. The dissertation provides insights into a research field which is becoming more and more relevant and improves the understanding of consumers’ assessment and the interdependencies of the possibilities of ethical behaviour. This allows the development of recommendations for consumer policy makers, business and NGOs concerned with the ethics of consumer choice as well as future research on ethical behaviour in general and ethical consumption in particular.
Daniel Ehls analyzes the impact of contextual factors on attracting volunteers into open initiatives. He answers challenging questions like why do users join one community over another and what are attractive conditions for user and open innovation With a discrete choice experiment, Daniel Ehls identifies openness trade-offs and joining preferences contingent on access, usage and sponsorship. Also, he reveals causes of taste heterogeneity and shows how context and personality determine joining decisions. Management insights target organizational behavior, e.g. how the governance structure affects user actions, and competitive strategy, e.g. how to source external distributed knowledge.
First systematic treatment of best-worst scaling, explaining how to implement, analyze, and apply the theory across a range of disciplines.
Includes: Drug Abuse Prevention through Family Based Interventions: Future Research; Familial Factors and Substance Abuse: Implications for Prevention; Family-Focused Substance Abuse (SA) Prevention: What Has Been Learned from Other Fields; Scientific Findings from Family Prevention Intervention Research; A Universal Intervention for the Prevention of SA: Preparing for the Drug-Free Years; Selective Prevention Interventions: The Strengthening Families Program; Parental Monitoring and the Prevention of Problem Behavior: A Conceptual and Empirical Reformulation; and Family Measures in SA Prevention Research.