International Journal of Research in Marketing
Papers 1,388
1 page of 139 pages (1,388 results)
#1Lerzan Aksoy (Fordham University)H-Index: 29
#2Sandhya Banda (Indian School of Business)
Last. Anita Pansari (MSU: Michigan State University)H-Index: 8
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Abstract null null In 2019 the CEOs of more than 180 of the largest U.S. firms signed a statement of corporate purpose indicating that corporations are responsible for providing economic benefits to all stakeholders, not just shareholders. Although stakeholder theory states that there are several stakeholders (internal and external) whose continuing participation affects a firm’s sustainability and long-term profitability, the marketing literature has focused primarily on customer engagement. Th...
#1S. Arunachalam (Indian School of Business)H-Index: 5
#2Sridhar N. Ramaswami (Indian School of Business)
Last. Linlin Chai (NDSU: North Dakota State University)
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Abstract null null In this research, using a capability perspective, we first define innovation based, strategic flexibility (ISF) as consisting of three lower-level capabilities- market sensing,resource reconfiguration, and proactiveness; then link it to new-product/innovation outcomes, and develop a new metric of ISF that is input-output based. This metric captures a firm’s realized flexibility in translating market opportunities into innovation output. We then examine the role of CEO ties wit...
#1Liyuan Wei (Brunel University London)
#2Yupin Yang (SFU: Simon Fraser University)H-Index: 5
Abstract null null This paper examines how movie producers recruit directors in the preproduction phase as mutual choices in a two-sided matching model. It conceptualizes that movie attributes and filmmaker characteristics determine the matching outcomes (“who directed which movie”) and in turn indirectly affect movie box office. We exploit a dataset of 4,807 feature films from 1990 to 2010 to examine empirically the complementarities between the movie/producer side and the director side in term...
#1Jessie J. Wang (Miami University)H-Index: 4
#2Ashok K. Lalwani (IU: Indiana University)H-Index: 17
Last. Devon DelVecchio (Miami University)H-Index: 14
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Abstract null null Five lab studies and a field study explore how power distance belief (PDB) influences consumers' preference for mass-market versus niche brands, the underlying mechanisms, and boundary conditions. We find that high (vs. low) PDB consumers are more likely to prefer mass-market over niche brands because they tend to be risk averse, which in turn increases preference for widely used brands. Consequently, the relationship between PDB and brand preferences is mediated by risk avers...
Abstract null null We use a multi-method approach (analytical model and behavioral experiment) to investigate product recommendations based on less-important attributes (weak unique selling proposition, USP). We consider multiple scenarios in which a recommender’s level of expertise (knowledge about product attributes and their importance) and bias (preference for the firm as opposed to consumers) operate as cues for consumers to evaluate the recommender’s message. null Results show that optimal...
#1Praveen K. Kopalle (Dartmouth College)H-Index: 31
#2Manish Gangwar (Indian School of Business)H-Index: 7
Last. Aric Rindfleisch (UIUC: University of Illinois at Urbana–Champaign)H-Index: 32
view all 6 authors...
Abstract null null Artificial intelligence (AI) has captured substantial interest from a wide array of marketing scholars in recent years. Our research contributes to this emerging domain by examining AI technologies in marketing via a global lens. Specifically, our lens focuses on three levels of analysis: country, company, and consumer. Our country-level analysis emphasizes the heterogeneity in economic inequality across countries due to the considerable economic resources necessary for AI ado...
#1Huwail J. Alantari (UCI: University of California, Irvine)
#2Imran S. Currim (UCI: University of California, Irvine)H-Index: 25
Last. Sameer Singh (UCI: University of California, Irvine)H-Index: 42
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Abstract null null The amount of digital text-based consumer review data has increased dramatically and there exist many machine learning approaches for automated text-based sentiment analysis. Marketing researchers have employed various methods for analyzing text reviews but lack a comprehensive comparison of their performance to guide method selection in future applications. We focus on the fundamental relationship between a consumer’s overall empirical evaluation, and the text-based explanati...
Abstract null null Defining “luxury” as expensive and exclusive products and brands that are differentiated from other offers based on their exquisite design and craftmanship, sensory appeal, and distinct socio-cultural narratives, this conceptual paper integrates the established view of wealth-based luxury with an alternative perspective focused on luxury competencies. These competencies include expertise, aesthetic taste, and sensitivity to luxury symbolism and are developed by learning and en...
#1Ingo Halbauer (KIT: Karlsruhe Institute of Technology)
#2Martin Klarmann (KIT: Karlsruhe Institute of Technology)H-Index: 15
Abstract null null In two studies we investigate how voice shopping may provide access to meaningful data on customer mood and how retailers may use such data. In Study 1 we explores the use of a machine learning approach to predict customer mood based on customer commands in the voice shopping process. We compare it to a heuristic approach to customer mood prediction based on situational correlates of mood that that a smart speaker can access (weather, music choice, day of week, and daylight). ...
#1Hwang Kim (CUHK: The Chinese University of Hong Kong)H-Index: 1
#2Vithala R. Rao (Cornell University)H-Index: 47
Abstract null null This article examines peer influences from network relationships within a social network game (i.e., embeddedness) and across such games (i.e., multiplexity). Drawing on social influence theory, we develop a bivariate Poisson model of users’ repeated visits and latent attrition that accommodates peer interaction after controlling for homophily. We estimate the model using data from two social network games with considerable overlap among network members. We find that friends w...
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