Articles scientifiques

Coping with Loneliness through Materialism: Strategies Matter for Adolescent Development of Unethical Behaviors


Journal of Business Ethics

2016, pp.1-20

Départements : Marketing, GREGHEC (CNRS)

Mots clés : Loneliness, Coping strategies, Unethical behaviors, Adolescent consumers, Materialism, Sharing, Age cohort

Engaging in unethical consumption behaviors is an acute societal problem that can have severe consequences for adolescents, and businesses in particular have been accused of making such consumption particularly appealing and accessible. However, the causes of unethical behaviors are not well understood and research on the causes has been mixed. In this research, we investigate the effects of coping strategies for loneliness on adolescents' adoption of unethical behaviors, a topic that business ethics research has not explored. In a large-scale study (n = 409) of adolescents (ages 13-17), we show that whether loneliness leads to the adoption of unethical behaviors depends on the strategies adolescents use to cope with their loneliness: active coping strategies are associated with fewer unethical behaviors, whereas passive coping strategies are associated with more unethical behaviors. In addition, we show that active and passive coping strategies can be executed through consumption practices. We show that the relation between active coping and fewer unethical behaviors is mediated by sharing of possessions, whereas the relation between passive coping strategies and more unethical behaviors is mediated by product acquisition. Finally, we also show that these mediated relations differ as a function of age cohort (grade level). The indirect effect of active coping on fewer unethical behaviors via sharing holds only for middle school adolescents, whereas the indirect effect of passive coping on more unethical behaviors via product acquisition holds only for high school adolescents. We shed new light on both the bright and dark sides of materialism and unethical behaviors, and provide practical implications for research on loneliness, business ethics, and unethical behaviors

Data Descriptor: Data from a pre-publication independent replication initiative examining ten moral judgement effects


Nature: Scientific Data

2016, vol. 3, n°160082

Départements : Marketing, GREGHEC (CNRS)

Mots clés : Decision making, Ethics, Psychology, Research management

We present the data from a crowdsourced project seeking to replicate findings in independent laboratories before (rather than after) they are published. In this Pre-Publication Independent Replication (PPIR) initiative, 25 research groups attempted to replicate 10 moral judgment effects from a single laboratory’s research pipeline of unpublished findings. The 10 effects were investigated using online/lab surveys containing psychological manipulations (vignettes) followed by questionnaires. Results revealed a mix of reliable, unreliable, and culturally moderated findings. Unlike any previous replication project, this dataset includes the data from not only the replications but also from the original studies, creating a unique corpus that researchers can use to better understand reproducibility and irreproducibility in science

Marketing as a Means to Transformative Social Conflict Resolution: Lessons from Transitioning War Economies and the Colombian Coffee Marketing System


Journal of Public Policy & Marketing

automne 2016, vol. 35, n°2, pp.185-197

Départements : Marketing, GREGHEC (CNRS)

Mots clés : Colombia, peace/war economy, social conflict, systemic analysis, transformation

Social conflicts are ubiquitous to the human condition and occur throughout markets, marketing processes, and marketing systems. When unchecked or unmitigated, social conflict can have devastating consequences for consumers, marketers, and societies, especially when conflict escalates to war. In this article, the authors offer a systemic analysis of the Colombian war economy, with its conflicted shadow and coping markets, to show how a growing network of fair-trade coffee actors has played a key role in transitioning the country’s war economy into a peace economy. They particularly draw attention to the sources of conflict in this market and highlight four transition mechanisms—i.e., empowerment, communication, community building and regulation—through which marketers can contribute to peacemaking and thus produce mutually beneficial outcomes for consumers and society. The article concludes with a discussion of implications for marketing theory, practice, and public policy

Sampling Designs for Recovering Local and Global Characteristics of Social Networks


International Journal of Research in Marketing

septembre 2016, vol. 33, n°3, pp.578-599

Départements : Marketing, GREGHEC (CNRS)

Mots clés : Social networks, Sampling, Subgraph sampling, Social network structure

The trajectories of social processes (e.g., peer pressure, imitation, and assimilation) that take place on social networks depend on the structure of those networks. Thus, to understand a social process or to predict the associated outcomes accurately, marketers would need good knowledge of the social network structure. However, many social networks of relevance to marketers are large, complex, or hidden, making it prohibitively expensive to map out an entire social network. Instead, marketers often need to work with a sample (i.e., a subgraph) of a social network. In this paper we evaluate the efficacy of nine different sampling methods for generating subgraphs that recover four structural characteristics of importance to marketers, namely, the distributions of degree, clustering coefficient, betweenness centrality, and closeness centrality, which are important for understanding how social network structure influences outcomes of processes that take place on the network.Via extensive simulations, we find that sampling methods differ substantially in their ability to recover network characteristics. Traditional sampling procedures, such as random node sampling, result in poor subgraphs. When the focus is on understanding local network effects (e.g., peer influence) then forest fire sampling with a medium burn rate performs the best, i.e., it is most effective for recovering the distributions of degree and clustering coefficient. When the focus is on global network effects (e.g., speed of diffusion, identifying influential nodes, or the “multiplier” effects of network seeding), then random-walk sampling (i.e., forest-fire sampling with a low burn rate) performs the best, and it is most effective for recovering the distributions of betweenness and closeness centrality. Further, we show that accurate recovery of social network structure in a sample is important for inferring the properties of a network process, when one observes only the process in the sampled network. We validate our findings on four different real-world networks, including a Facebook network and a co-authorship network, and conclude with recommendations for practice.

Tastlé-Nestlé, Toogle-Google: The effects of similarity to familiar brand names in brand name innovation


Journal of Business Research

mars 2016, vol. 69, n°3, pp.1182–1189

Départements : Marketing, GREGHEC (CNRS)

Mots clés : Brand name, Branding, Brand attitudes, Similarity, Familiarity, Innovation

When developing new brand names, marketers face the dilemma of how similar their new brand name is or should be to familiar brand names in the market. The current research tests the complete range of conditions exploring how the degree of similarity of a new brand name to an existing one may affect attitudes toward the new brand name. The authors first replicate an inverted-U pattern suggested by congruency theories. However, this result holds only in the case of positive pre-existing attitudes toward familiar brand names. Additional tests demonstrate a U-shaped pattern in the case of negative attitudes toward familiar brand names, and a linear relation between similarity and attitudes in the case of no pre-existing attitudes toward familiar brand names. A field study replicates these findings, testing actual choice of products that bear different levels of resemblance to real positive and negative brand names (Oreo and Spam).