Merlin Stone

Richard P. Bagozzi

Luiz Moutinho

Len Tiu Wright

This single-volume reference provides an alternative to traditional marketing research methods handbooks, focusing entirely on the new and innovative methods and technologies that are transforming marketing research and practice. Including original contributions and case studies from leading global specialists, this handbook covers many pioneering methods, such as: Methods for the analysis of user- and customer-generated data, including opinion mining and sentiment analysis Big data Neuroscientific techniques and physiological measures Voice prints Human–computer interaction Emerging approaches such as shadowing, netnographies and ethnographies Transcending the old divisions between qualitative and quantitative research methods, this book is an essential tool for market researchers in academia and practice.

The Routledge Companion to Marketing Research

Graeme Hutcheson

Paulo Rita

Within the academic realm, doctoral research plays a vital role in the advancement of knowledge. In areas ranging from strategy and international business to marketing, finance and operations management, the contributions in this volume represent the very best in doctoral research in the field of management worldwide. This first book in the Advances in Doctoral Research in Management series includes both doctoral research papers and a section on doctoral research notes consisting of shorter versions of extended monographs. There is also a section on research methodology papers that builds awareness and provides applications of new methodological concepts, techniques and tools. Contents:Knowledge Transfer: A Review to Explore Conceptual Foundations and Research Agenda (S M Jasimuddin)Negotiating Incommensurability in Marketing Theory (M Tadajewski et al.)Explaining Ecological Product Purchase Using Consumers' Psychographic Characteristics (E Fraj et al.)Extensions of Logistic Growth Model for the Forecasting of Product Life Cycle Segments (M Sokele & V Hudek)Defensive Strategies and Consumers' Bounded Rationality: An Artificial Market Simulation (J A Mazanec et al.)A User Evaluation of Web Recommender Systems (U Bauernfeind)The Determinants of Relationship Marketing: An Application to Thermal Spas (J Antunes)Supermarket Site Assessment and the Importance of Spatial Analysis Data (A B Mendes et al.)A Framework for Corporate Crisis Management: Applications to SMEs in Australia (M Aba-Bulgu & S M N Islam)Option Games, Asymmetric Information and Merger Announcement Returns (H Pan & X Xia)Analysing Data Using GLM Models (G D Hutcheson)The Issue of Missing Values, Their Presence and Management: A Relevant Demonstration of Data Analysis in Marketing Using CaRBS (M J Beynon) Readership: Doctoral students, researchers, and academics in the field of management. Suitable as supplementary reading in doctoral programs. Keywords:Doctoral;Research;Management Methodology;Data;Analysis;Paradigm;Modeling;InternationalKey Features:A unique academic refereed outlet on doctoral research in the field of managementA key reference in the libraries of all doctoral programs

Advances in Doctoral Research in Management

Ajay K. Manrai

Enrique Bigné

The Routledge Companion to the Future of Marketing provides the reader with a comprehensive and original set of visionary insights into the future of marketing. This prestigious collection aims to challenge the mindset of academics, moving their thinking processes from current thinking into new perspectives and advances in marketing knowledge. Selected Contents: Part 1: New Paradigms and Philosophical Insights Part 2: Contributions from other Scientific Fields Part 3: Reconnecting with Consumers and Markets Part 4: New Methodological Insights in Scholarly Research in the Field

The Routledge Companion to the Future of Marketing

Marketing has changed substantially in the last few years. With more and more research conducted in marketing and consumer behaviour fields, and technological advances and applications occurring on a regular basis, the future of marketing opens up a world of exciting opportunities. Going beyond a state-of-the-art view of the discipline, this innovative volume focuses on the advances being made in many different areas such as; critical thinking, new paradigms, novel conceptualisations, as well as key technological innovations with a direct impact on the theory and practice of marketing. Each chapter presents an expert overview, and an analytical and engaging discussion of the topic, as well as introducing a specific research agenda paving the way for the future. The Routledge Companion to the Future of Marketing provides the reader with a comprehensive set of visionary insights into the future of marketing. This prestigious collection aims to challenge the mindset of marketing scholars, transforming current thinking into new perspectives and advances in marketing knowledge. Foreword Wayne S. DeSarbo, Smeal College of Business, Pennsylvania State Univerity, USA "The Future of Marketing" presents 22 different chapters written by some of the top scholars in the field of Marketing. These 22 chapters are organized into four topical areas: (1) New paradigms and philosophical insights (Chapters 1-5), (2) Contributions from other scientific fields (Chapters 6-9), (3) Reconnecting with consumers and markets (Chapters 10-17), and (4) New methodological insights in scholarly research in the field (Chapters 18-22). Thus, there are a number of diverse areas treated here ranging from futuristic managerial philosophies to state of the art qualitative and quantitative methodologies applicable to the various types of Marketing problems to be faced in the future. There are a number of implicit guidelines (and future research areas and needs) that can be gleaned for (quantitative) modelers in terms of the issues and considerations that their constructed models should explicitly accommodate in future empirical endeavors: Heterogeneity When modeling consumer perceptions, preferences, utility structures, choices, etc., it is important to avoid potential masking issues that aggregate models are subject to in many cases. In the simple case, consider a regression scenario where there are two equal sized segments whose utility functions (as a function of price) are opposite reflections of each other. Aggregating the sample in one large analysis yields a non-significant price elasticity coefficient, whereas estimating separate utility functions by segment displays the true structure in the data. While latent structure and hierarchical Bayesian methods have been developed for disaggregate analyses, a number of methodological issues exist with such existent approaches that provide fertile ground for future research. Competition Many quantitative models are estimated at a brand level and reflect only the efforts of that sole brand. For example, in many customer satisfaction studies, attention is often paid to the consumers of a particular client brand or service in an effort to portray their performance and derive the important drivers of satisfaction. Financial optimization models are then often constructed to examine where a company should invest its resources to best improve sales, retention, word of mouth, loyalty, etc. These studies need to occur in a fully competitive setting where one derives a full picture of the competitive market place. Managers need to know the relative importance of the drivers of satisfaction for their brand/service as well as for their competitors. In addition, knowledge of the relative performance of their brand relative to competitors is necessary information for strategy formation. Ideally, one would hope to see modeling efforts which also examine cross effects in terms of how Brand A’s policy affects other brands. Over time, competitive dynamics are also important as discussed next. Dynamics As seen in the various chapters, this can assume many different manifestations. Related to the previous category above related to competition, it is often necessary to examine competitive dynamics as opposed to comparative statics where the modeler of the future examines simultaneous and/or sequential optimization by each of the competitors in a market place in a game theoretic context. In such a manner, it will not be the case that all competitors end up enacting the same exact identical strategies. Alternatively, the models of the future should be adaptive and have the ability to "learn" from past data, as well as benefit from informed managerial expert input and constraints. Parameter values that change/adapt during the duration of the data are also a desirable feature. Non-Linearity Traditional linear response functions do not typically yield realistic normative managerial guidelines or optimized solutions. End point solutions that suggest "all or none" types of resource allocations are useless in most realistic Marketing applications. A large amount of work is required in this area as Marketing often lacks the strong theory necessary to provide such insight regarding the models that are constructed. In addition, multiple objective functions need to be accommodated with the use of multicriterion optimization methods Endogeneity Often times, there are hidden effects embedded in the various independent variables the Marketer believes are exogenous and truly independent. These may be due to effect of lagged variables, managerial decision making practice, etc. To ignore such effects, threatens the integrity of the models Marketers construct. For example, in traditional regression models, such endogeneity often produces a correlation between the independent variable in question and the error term, often resulting in biased estimates when employing ordinary least-squares estimation. Moderation/Mediation There are times particularly in regression approaches where the relationships between two variables are affected by values of a third variable. In such cases, we need to employ selected interaction effects to measure such moderated effects. Interaction effects are often needed to model the synergistic or catalytic effects of various independent variables. Alternatively, in a mediation regression model, rather than hypothesizing a direct causal relationship between the independent variable and the dependent variable, a mediational model hypothesizes that the independent variable influences the mediator variable, which in turn influences the dependent variable. Thus, such moderator and mediator variables serve to clarify the nature of the relationship between the independent and dependent variables. Marketers need to be aware of such potential inter-relationships. Models Guided by Theory Ideally, the models we construct should be more than just data analytic structures which approximate the relationships found in the data. Where possible, models should be constructed on the basis of available sound Marketing theory describing the process being modeled. One of the advantages of structural equation models is that one can utilize such a methodology to test and implement some a priori theory describing the relationship or causal nature of various inter-related constructs. This feature has been lacking in the general modeling efforts to date. A major reason for this is due to the lack of adequate theory development for most of the processes encountered in Marketing. For example, we have no solid Marketing theory regarding the structure of marketing mix response models. Thus progress must be advanced in such areas so that the models we construct are more robust and explainable. I wish to personally thank the co-editors and various authors of the "Future of Marketing" for opening the door to get a glimpse of the future in the field of Marketing. The hope is that this new book will provide fresh ideas to guide future research to improve the field of Marketing and define the next generation of research efforts as the torch gets passed to future generations.

Alfonso Vargas-Sanchez

This comprehensive textbook has, at its core, the importance of linking strategic thinking with action in the management of tourism. It provides an analytical evaluation of the most important global trends, as well as an analysis of the impact of crucial environmental issues and their implications. Now in its third edition, and reviewing the major factors affecting international tourism management, this well-established student resource provides an essential overview of strategic management for students and professionals in the tourism sector.

Strategic Management in Tourism, 3rd Edition. CABI Tourism Texts

' Worldwide Casebook in Marketing Management comprises a large collection of case studies in marketing and business management. It covers a huge array of decision-making areas and many different industries ranging from computers, petrol retailing and electronic gaming to drinks, fashion, airlines and mobile communication. The worldwide cases are all related to many well-known brands and corporations like British Airways, Red Bull, Nintendo, Google, Microsoft, Cacharel, etc. Contents:Introduction to Case AnalysisConsumer Behaviour:San Pellegrino (Italy)Nintendo Wii (Japan)Zara (Spain)Branding:Lenovo (China)Red Bull (Austria)SingTel (Singapore)Marketing Communication:Foster''s (Australia)Google (The US)Walkers (The UK)TAG Heuer (Switzerland)Cirque du Soleil (Canada)Retailing:Currys (The UK)Cold Storage (Singapore)Marketing Programming:Microsoft (The US)National Australia Bank (Australia)Acer (Taiwan)Kerry (Ireland)Siemens (Germany)ING (Holland)Electrolux (Sweden)Strategic and Global Marketing:British Airways (The UK)Grundfos (Denmark)Petrobras (Brazil)Accor (France) Readership: Graduate students and researchers who are interested in marketing management. Key Features:Comprises of a large collection of case studies in marketing and managementCovers many different industries, well-known brands and companiesOffers studies on new trends and innovative marketing conceptsKeywords:Marketing Management;Innovation;British Airways;Red Bull;Nintendo;Google;Microsoft;Cacharel'

Worldwide Casebook in Marketing Management

José Luís Reis

Eduardo Parra López

José Paulo Marques dos Santos

This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2021), held at University of La Laguna, Tenerife, Spain, during December 2–4, 2021. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.

Proceedings of ICMarkTech 2021, Volume 1

Marketing and Smart Technologies

Kun-huang Huarng

This book deals with the intellectual foundation of the sociopolitical, economic and legal systems of developing countries, using a methodological approach. It calls for not only the need to search for a country's cultural identity, but also a need to analyze the prevalent concepts important to a contemporary modern society, such as the respect for an individual, human rights, freedom, equality, democracy and the universal respect for law.Based on the author's lifelong reflection on why some of these deeply treasured Western values and institutions have not been useful in developing democracy in Asia, it examines which values are applicable and which are not to Asian emerging societies. China's historical and contemporary attempts in modernization and development are used as examples throughout the book. As a valuable resource for decision-makers of developing countries, this book will help to shed some light on what to look for in a cultural identity and what to subscribe to among the values circulating in our globalized world.

Luiz Moutinho

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