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3,120 result(s) for "Marktforschung"
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The market research toolbox : a concise guide for beginners
An ideal resource for busy managers and professionals seeking to build and expand their marketing research skills, The Market Research Toolbox, Fourth Edition describes how to use market research to make strategic business decisions. This comprehensive collection of essential market research techniques, skills, and applications helps readers solve real-world business problems in a dynamic and rapidly changing business atmosphere. Based on real-world experiences, author Edward F. McQuarrie gives special attention to business-to-business markets, technology products, Big Data, and other web-enabled approaches. Readers with limited time or resources can easily translate the approaches from mass markets, simple products, and stable technologies to their own situations. Readers will master background context and the questions to ask before conducting research, as well as develop strategies for sorting through the extensive specialized material on market research.
How artificial intelligence will change the future of marketing
In the future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviors. Building from not only extant research but also extensive interactions with practice, the authors propose a multidimensional framework for understanding the impact of AI involving intelligence levels, task types, and whether AI is embedded in a robot. Prior research typically addresses a subset of these dimensions; this paper integrates all three into a single framework. Next, the authors propose a research agenda that addresses not only how marketing strategies and customer behaviors will change in the future, but also highlights important policy questions relating to privacy, bias and ethics. Finally, the authors suggest AI will be more effective if it augments (rather than replaces) human managers.
Asking Questions with Reflexive Focus
Interviews have been a key primary data source for research published in the Journal of Consumer Research. This tutorial aims to walk readers through the design and execution of interview-based empirical research on consumers and consumption.
The future of social media in marketing
Social media allows people to freely interact with others and offers multiple ways for marketers to reach and engage with consumers. Considering the numerous ways social media affects individuals and businesses alike, in this article, the authors focus on where they believe the future of social media lies when considering marketing-related topics and issues. Drawing on academic research, discussions with industry leaders, and popular discourse, the authors identify nine themes, organized by predicted imminence (i.e., the immediate, near, and far futures), that they believe will meaningfully shape the future of social media through three lenses: consumer, industry, and public policy. Within each theme, the authors describe the digital landscape, present and discuss their predictions, and identify relevant future research directions for academics and practitioners.
Creating Boundary-Breaking, Marketing-Relevant Consumer Research
Consumer research often fails to have broad impact on members of the marketing discipline, on adjacent disciplines studying related phenomena, and on relevant stakeholders who stand to benefit from the knowledge created by rigorous research. The authors propose that impact is limited because consumer researchers have adhered to a set of implicit boundaries or defaults regarding what consumer researchers study, why they study it, and how they do so. The authors identify these boundaries and describe how they can be challenged. By detailing five impactful articles and identifying others, they show that boundary-breaking, marketing-relevant consumer research can influence relevant stakeholders including academics in marketing and allied disciplines as well as a wide range of marketplace actors (e.g., business practitioners, policy makers, the media, society). Drawing on these articles, the authors articulate what researchers can do to break boundaries and enhance the impact of their research. They also indicate why engaging in boundary-breaking work and enhancing the breadth of marketing’s influence is good for both individual researchers and the fields of consumer research and marketing.
Assessing endogeneity issues in international marketing research
Purpose – Endogeneity is a potential threat to the validity of international marketing (IM) research. The purpose of this paper is to draw the attention of IM researchers to issues of endogeneity, to provide a comprehensive overview of the sources of endogeneity, and to discuss the statistical solutions. Design/methodology/approach – The authors conduct the research in two steps. In the first step, the authors review the nature and sources of endogeneity specifically in IM research. In the second step, the authors review 60 IM papers on endogeneity published in the period 1995-2014 and assess the current practice of addressing endogeneity in the IM literature. Findings – Sample selection bias and simultaneity are prevalent sources of endogeneity in IM research. Internationalization-performance relationship and innovation-export nexus are the two most frequently adopted models subject to potential endogeneity. Simply lagging the main independent variable is statistically flawed in dealing with endogeneity despite its popularity in IM research. Research limitations/implications – First, a careful choice and application of methods are critical when addressing endogeneity. Second, the authors suggest the employment of multiple study methods to address endogeneity robustly. Third, to prevent or solve endogeneity in structural equation modeling, researchers may either collect data on independent and dependent variables from different respondents or employ a two-stage least squares approach. Finally, it is helpful to design dedicated models to prevent proactively potential endogeneity a priori. Originality/value – The contribution of this study is twofold. First, it is the first in the literature to discuss the endogeneity issue specifically in IM research. In particular, the study elaborates the origins and consequences of the three most frequently confronted types of endogeneity in IM research. Second, the authors assess the four major methods of addressing endogeneity in IM research with a systematic discussion of the literature from the last two decades. The authors offer suggestions on how to minimize endogeneity in model design and empirical implementation for future IM research.