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Dive into the research topics where Martijn G. de Jong is active.

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Featured researches published by Martijn G. de Jong.


Journal of Marketing | 2010

A Global Investigation into the Constellation of Consumer Attitudes Toward Global and Local Products

Jan-Benedict E. M. Steenkamp; Martijn G. de Jong

In this article, the authors introduce attitude toward global products (AGP) and attitude toward local products (ALP) as generalized attitudinal constructs and address the four issues these constructs raise: (1) How are AGP and ALP related to each other? (2) What is the motivational structure underlying AGP and ALP? (3) Is the proposed theory culturally circumscribed, or does it generalize across countries? and (4) What are the managerially relevant implications of these consumer attitudes? To answer these questions, the authors propose and empirically test an integrated structure for AGP and ALP and their antecedents, organized around the powerful motivational concept of values. They test their theory using a unique data set involving 13,000 respondents from 28 countries in the Americas, Asia, and Europe, thus allowing for a global investigation of a global issue. The study findings provide managers with strategic direction on how to market their products in a globalized world.


Journal of Marketing Research | 2008

Using Item Response Theory to Measure Extreme Response Style in Marketing Research: A Global Investigation

Martijn G. de Jong; Jan-Benedict E. M. Steenkamp; Jean-Paul Fox; Hans Baumgartner

Extreme response style (ERS) is an important threat to the validity of survey-based marketing research. In this article, the authors present a new item response theory–based model for measuring ERS. This model contributes to the ERS literature in two ways. First, the method improves on existing procedures by allowing different items to be differentially useful for measuring ERS and by accommodating the possibility that an items usefulness differs across groups (e.g., countries). Second, the model integrates an advanced item response theory measurement model with a structural hierarchical model for studying antecedents of ERS. The authors simultaneously estimate a persons ERS score and individual- and group-level (country) drivers of ERS. Through simulations, they show that the new method improves on traditional procedures. They further apply the model to a large data set consisting of 12,506 consumers from 26 countries on four continents. The findings show that the model extensions are necessary to model the data adequately. Finally, they report substantive results about the effects of sociodemographic and national-cultural variables on ERS.


Journal of Marketing Research | 2010

Socially Desirable Response Tendencies in Survey Research

Jan-Benedict E. M. Steenkamp; Martijn G. de Jong; Hans Baumgartner

Socially desirable responding (SDR) has been of long-standing interest to the field of marketing. Unfortunately, the construct has not always been well understood by marketing researchers. The authors provide a review of the SDR literature organized around three key issues—the conceptualization and measurement of SDR; the nomological constellation of personality traits, values, sociodemographics, and cultural factors associated with SDR; and the vexing issue of substance versus style in SDR measures. The authors review the current “state of the literature,” identify unresolved issues, and provide new empirical evidence to assess the generalizability of existing knowledge, which is disproportionately based on U.S. student samples, to a global context. The new evidence is derived from a large international data set involving 12,424 respondents in 26 countries on four continents.


Journal of Consumer Research | 2007

Relaxing Measurement Invariance in Cross-National Consumer Research Using a Hierarchical IRT Model

Martijn G. de Jong; Jan-Benedict E. M. Steenkamp; Jean-Paul Fox

With the growing interest of consumer researchers to test measures and theories in an international context, the cross-national invariance of measurement instruments has become an important issue. At least two issues still need to be addressed. First, the ordinal nature of the rating scale is ignored. Second, when few or no items in the confirmatory factor analysis (CFA) exhibit metric and scalar invariance across all countries, comparison of results across countries is difficult. We solve these problems using a hierarchical IRT model. An empirical application is provided for susceptibility to normative influence, using a sample of 5,484 respondents from 11 countries on four continents.


Journal of Marketing Research | 2010

Reducing social desirability bias through item randomized response: An application to measure underreported desires

Martijn G. de Jong; Rik Pieters; Jean-Paul Fox

The authors present a polytomous item randomized response model to measure socially sensitive consumer behavior. It complements established methods in marketing to correct for social desirability bias a posteriori and traditional randomized response models to prevent social desirability bias a priori. The model allows for individual-level inferences at the construct level while protecting the privacy of respondents at the item level. In addition, it is possible to incorporate covariates in to various parts of the model. The proposed method is especially useful to study social issues in marketing. In the empirical application, the authors use a two-group experimental survey design and find that with the new procedure, participants report their sensitive desires more truthfully, with significant differences between socioeconomic groups. In addition, the method performs better than methods based on social desirability scales. Finally, the authors discuss truthfulness in data collection and confidentiality in data utilization.


Marketing Science | 2009

A Model for the Construction of Country-Specific Yet Internationally Comparable Short-Form Marketing Scales

Martijn G. de Jong; Jan-Benedict E. M. Steenkamp; Bernard P. Veldkamp

In the last few decades, the measurement of marketing constructs has improved tremendously. Our discipline has also started to systematically catalogue our measurement knowledge in influential handbooks of marketing scales. However, at least two important issues remain. First, existing scales are often too long for administration in nonstudent samples or in applied studies. Second, existing (U.S.-developed) scales may contain items that are not informative about the underlying construct in particular countries, whereas relevant items tapping into local cultural expressions of the construct in question may be missing. To address these issues, we propose a new model that yields country-specific yet fully cross-nationally comparable short forms of unidimensional marketing scales. The procedure is based on hierarchical item response theory and optimal test design. The procedure is flexible in the sense that the researcher can specify various constraints on item content, scale length, and measurement precision. Because our procedure allows inclusion of country-specific (or “emic”) items in standardized (or “etic”) scales, it presents an important step toward resolving the emic-etic dilemma that has plagued international marketing research for decades.


Marketing Science | 2012

Measuring Consumer Preferences Using Conjoint Poker

Olivier Toubia; Martijn G. de Jong; Daniel Stieger; Johann Füller

textabstractWe develop and test an incentive-compatible Conjoint Poker (CP) game. The preference data collected in the context of this game are comparable to incentive-compatible choice-based conjoint (CBC) analysis data. We develop a statistical efficiency measure and an algorithm to construct efficient CP designs. We compare incentive-compatible CP to incentive-compatible CBC in a series of three experiments (one online study and two eye-tracking studies). Our results suggest that CP induces respondents to consider more of the profile-related information presented to them compared with CBC.


International Journal of Research in Marketing | 2014

The effect of customer empowerment on adherence to expert advice

Nuno Camacho; Martijn G. de Jong; Stefan Stremersch

Customers often receive expert advice related to their health, finances, taxes or legal procedures, to name just a few. A noble stance taken by some is that experts should empower customers to make their own decisions. In this article, we distinguish informational from decisional empowerment and study whether empowerment leads customers to adhere more or less to expert advice. We empirically test our model using a unique dataset involving 11,735 respondents in 17 countries on four continents. In the context of consumer adherence to doctors’ therapy advice (patient non-adherence to doctor advice may cost about


Journal of Marketing Research | 2015

A Bounded Rationality Model of Information Search and Choice in Preference Measurement

Liu (Cathy) Yang; Olivier Toubia; Martijn G. de Jong

564 billion globally to the pharmaceutical industry every year), we find that decisional empowerment lowers adherence to expert advice. The effect of informational empowerment varies predictably across cultures and is only universally beneficial when initiated by the customer. These findings have important implications for professional service providers.


Marketing Science | 2012

State-Dependence Effects in Surveys

Martijn G. de Jong; Donald R. Lehmann; Oded Netzer

It is becoming increasingly easier for researchers and practitioners to collect eye-tracking data during online preference measurement tasks. The authors develop a dynamic discrete choice model of information search and choice under bounded rationality, which they calibrate using a combination of eye-tracking and choice data. Their model extends Gabaix et al.s (2006) directed cognition model by capturing fatigue, proximity effects, and imperfect memory encoding and by estimating individual-level parameters and partworths within a likelihood-based hierarchical Bayesian framework. The authors show that modeling eye movements as the outcome of forward-looking utility maximization improves out-of-sample predictions, enables researchers and practitioners to use shorter questionnaires, and allows better discrimination between attributes.

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Jan-Benedict E. M. Steenkamp

University of North Carolina at Chapel Hill

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Stefan Stremersch

Erasmus University Rotterdam

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Bas Donkers

Erasmus University Rotterdam

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Nuno Camacho

Erasmus University Rotterdam

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Hans Baumgartner

Pennsylvania State University

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