Benjamin D. Liengaard, Jan-Michael Becker, Mikkel Bennedsen, Phillip Heiler, Luke N. Taylor, Christian M. Ringle
{"title":"Dealing with regression models’ endogeneity by means of an adjusted estimator for the Gaussian copula approach","authors":"Benjamin D. Liengaard, Jan-Michael Becker, Mikkel Bennedsen, Phillip Heiler, Luke N. Taylor, Christian M. Ringle","doi":"10.1007/s11747-024-01055-4","DOIUrl":"https://doi.org/10.1007/s11747-024-01055-4","url":null,"abstract":"<p>Endogeneity in regression models is a key marketing research concern. The Gaussian copula approach offers an instrumental variable (IV)-free technique to mitigate endogeneity bias in regression models. Previous research revealed substantial finite sample bias when applying this method to regression models with an intercept. This is particularly problematic as models in marketing studies almost always require an intercept. To resolve this limitation, our research determines the bias’s sources, making several methodological advances in the process. <i>First</i>, we show that the cumulative distribution function estimation’s quality strongly affects the Gaussian copula approach’s performance. <i>Second</i>, we use this insight to develop an adjusted estimator that improves the Gaussian copula approach’s finite sample performance in regression models with (and without) an intercept. <i>Third</i>, as a broader contribution, we extend the framework for copula estimation to models with multiple endogenous variables on continuous scales and exogenous variables on discrete and continuous scales, and non-linearities such as interaction terms. <i>Fourth</i>, simulation studies confirm that the new adjusted estimator outperforms the established ones. Further simulations also underscore that our extended framework allows researchers to validly deal with multiple endogenous and exogenous regressors, and the interactions between them. <i>Fifth</i>, we demonstrate the adjusted estimator and the general framework’s systematic application, using an empirical marketing example with real-world data. These contributions enable researchers in marketing and other disciplines to effectively address endogeneity problems in their models by using the improved Gaussian copula approach.</p>","PeriodicalId":17194,"journal":{"name":"Journal of the Academy of Marketing Science","volume":"238 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142541562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexa B. Burmester, Michel Clement, Jan U. Becker, Cord Otten
{"title":"Marketing inputs and outcome heterogeneity: Using a quantile regression framework in the entertainment industry","authors":"Alexa B. Burmester, Michel Clement, Jan U. Becker, Cord Otten","doi":"10.1007/s11747-024-01054-5","DOIUrl":"https://doi.org/10.1007/s11747-024-01054-5","url":null,"abstract":"<p>The success of entertainment products such as movies or books varies tremendously, and managers strive to increase the odds by deciding on the right marketing input. Aiming to improve managerial decision making, we suggest and test a quantile regression framework to detect outcome heterogeneity effects of marketing inputs in the entertainment industry. By analyzing the spread of the .9 and the .1 conditioned quantile to the .5 (median) conditioned quantile, we study how much an increase (decrease) of an input factor (star power and quality) changes the spread of the expected outcome (revenues and sales). The spread serves as an indicator for the heterogeneity effect of the input factor regarding the outcome. In two empirical studies, we show how marketing instruments increase (or decrease) outcome heterogeneity by estimating quantile regressions and provide generalizable findings regarding the outcome heterogeneity effects of star power (increases outcome heterogeneity) and quality evaluations (reduces outcome heterogeneity) in the entertainment industry.</p>","PeriodicalId":17194,"journal":{"name":"Journal of the Academy of Marketing Science","volume":"8 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142487793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chief marketing officer pay: The revenue growth consequences of employing internal and external benchmarks","authors":"Hui Feng, Kimberly A. Whitler, Michael A. Wiles","doi":"10.1007/s11747-024-01056-3","DOIUrl":"https://doi.org/10.1007/s11747-024-01056-3","url":null,"abstract":"<p>The chief marketing officer (CMO) is typically held accountable for generating firm revenue growth, but it is unclear whether current top management team (TMT) compensation practices, focused on an external benchmarking process, best align CMO behavior with this outcome. Drawing on equity theory, we explore how CMO pay (i.e., salary), relative to external and internal referents, impacts revenue growth. Using over 20 years of data for 457 public U. S. firms, we find that CMO-CFO relative pay (i.e., the Chief Finance Officer) positively relates to firm revenue growth, but CMO pay relative to the industry median does not. Further examination reveals an asymmetry in the effect for CMO-CFO relative pay—when CMOs are paid above the CFO, there is no impact on revenue growth, but when CMOs are paid <i>below</i> the CFO, there is a strong association to revenue growth (i.e., hampering growth), as such pay inequity can be particularly demotivating. Moderation analysis using CMO tenure provides support for this mechanistic pathway. Weaker evidence is found for the effect between CMO-highest paid TMT member relative pay and revenue growth, and no relationship between CMO-CEO relative pay and revenue growth is observed. Findings support the CFO as a key CMO pay referent and indicate that the common practice of using predominantly external benchmarks to determine CMO pay is not optimal, providing valuable insight and guidance to better align CMO pay and firm growth.</p>","PeriodicalId":17194,"journal":{"name":"Journal of the Academy of Marketing Science","volume":"8 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142440160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meizhi Pan, Markus Blut, Arezou Ghiassaleh, Zach W. Y. Lee
{"title":"Influencer marketing effectiveness: A meta-analytic review","authors":"Meizhi Pan, Markus Blut, Arezou Ghiassaleh, Zach W. Y. Lee","doi":"10.1007/s11747-024-01052-7","DOIUrl":"https://doi.org/10.1007/s11747-024-01052-7","url":null,"abstract":"<p>Influencer marketing significantly impacts consumer behavior and decision-making. However, identifying the drivers of influencer marketing effectiveness and conditions that enhance their impact remains challenging. This meta-analysis, which synthesizes 1,531 effect sizes from 251 papers, assesses influencer marketing effectiveness by examining its antecedents, mediators, and moderators. Building on the persuasion knowledge model to develop and test a framework, we identify post, follower, and influencer characteristics as key antecedents impacting both non-transactional (i.e., attitude, behavioral engagement, and purchase intention) and transactional (i.e., purchase behavior and sales) marketing outcomes. For non-transactional outcomes, follower characteristics (social identity) have the strongest effects on consumer attitudes and behavioral engagement, while post characteristics (informational value and hedonic value) exert stronger effects on purchase intention. For transactional outcomes, influencer characteristics (influencer communication) have the strongest effects on purchase behavior. These antecedents also affect marketing outcomes indirectly through persuasion knowledge and source credibility. Moderation results indicate that direct and indirect effects of antecedents depend on social media types (i.e., nature of connection and usage) and product types (i.e., information availability and status-signaling capability). These results consolidate and advance the literature and offer insights into enhancing the effectiveness of influencer marketing.</p>","PeriodicalId":17194,"journal":{"name":"Journal of the Academy of Marketing Science","volume":"2 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142415775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stefan Stremersch, Elke Cabooter, Ivan A. Guitart, Nuno Camacho
{"title":"Customer insights for innovation: A framework and research agenda for marketing","authors":"Stefan Stremersch, Elke Cabooter, Ivan A. Guitart, Nuno Camacho","doi":"10.1007/s11747-024-01051-8","DOIUrl":"https://doi.org/10.1007/s11747-024-01051-8","url":null,"abstract":"<p>Customer insights play a critical role in innovation. In recent years, articles studying customer insights for innovation have risen in marketing and other fields such as innovation, strategy, and entrepreneurship. However, the literature on customer insights for innovation grew fragmented and plagued by inconsistent definitions and ambiguity. The literature also lacks a precise classification of different domains of customer insights for innovation. This article offers four key contributions. First, it clearly and consistently defines <i>customer insights for innovation</i>. Second, it proposes a “customer insights process” that describes the activities firms and customer insights intermediaries (e.g., market research agencies) use to generate, disseminate, and apply customer insights for innovation. Third, it offers a synthesis of the knowledge on customer insights for innovation along ten domains of customer insights for innovation: (1) crowdsourcing, (2) co-creating, (3) imagining, (4) observing, (5) testing, (6) intruding, (7) interpreting, (8) organizing, (9) deciding, and (10) tracking. Fourth, the authors qualify and quantify the managerial importance and potential for scholarly research in these domains of customer insights for innovation. They conducted 12 in-depth interviews with executives at market research agencies such as Ipsos, Kantar, Nielsen, IQVIA, and GfK to do so. They surveyed 305 managers working in innovation, marketing, strategy, and customer experience. The article concludes with a research agenda for marketing aimed at igniting knowledge development in high-priority domains for customer insights for innovation.</p>","PeriodicalId":17194,"journal":{"name":"Journal of the Academy of Marketing Science","volume":"65 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142385056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The effect of second screening on repeat viewing: Insights from large-scale mobile diary data","authors":"Sarah Gelper, Mitchell J. Lovett, Renana Peres","doi":"10.1007/s11747-024-01048-3","DOIUrl":"https://doi.org/10.1007/s11747-024-01048-3","url":null,"abstract":"<p>This paper examines the effect of second screening, the common practice of using another digital device while watching a television show, on repeat show viewing. We leveraged large-scale individual-level data from mobile diaries of 1,702 US TV viewers on 2,755 prime time shows. We used causal forest analysis for estimation, focusing on the moderating role of viewing preferences and show loyalty, and captured heterogeneity in viewer preferences using latent-class segmentation. We found that overall, show-related second screening has a positive effect on the <i>attitude toward the show</i>, as well as on <i>actual repeat viewing.</i> Show-unrelated second screening diminishes the viewer’s attitude. These effects are especially pronounced in the heavy viewer segment and among infrequent show viewers. Interestingly, our analysis did not provide evidence that second screening harms actual repeat viewing, countering potential concerns of negative distraction effects.</p>","PeriodicalId":17194,"journal":{"name":"Journal of the Academy of Marketing Science","volume":"12 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142330051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aindrila Chatterjee, Amit J. Chauradia, Kiran Pedada
{"title":"Rural women microentrepreneurs, consumer acquisition, and value delivery: Evidence from a quasi-experiment in rural India","authors":"Aindrila Chatterjee, Amit J. Chauradia, Kiran Pedada","doi":"10.1007/s11747-024-01053-6","DOIUrl":"https://doi.org/10.1007/s11747-024-01053-6","url":null,"abstract":"<p>Gender equality and social impact are gaining significant research attention in marketing. This paper investigates the impact of recruiting rural women microentrepreneurs on acquiring consumers and delivering value to them. We study the outcomes from a quasi-experiment in which a social enterprise recruited a group of women to become microentrepreneurs in 91 out of 164 locations (panchayats) across rural districts in India. We show that the rural locations with more women than men microentrepreneurs experienced a 40.8% increase in consumer acquisition and delivered 64.1% greater value to their consumers. Moreover, these locations with more women than men microentrepreneurs delivered $5,445 more value for <i>women</i> consumers. Men microentrepreneurs who work in inclusive settings with other women microentrepreneurs delivered $25,100 more value to their consumers than men microentrepreneurs working in predominantly male-work environments. This research contributes to the intersection of marketing, social entrepreneurship, and gender dynamics, underscoring the importance of empowering women for better marketing and societal outcomes.</p>","PeriodicalId":17194,"journal":{"name":"Journal of the Academy of Marketing Science","volume":"44 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142306192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Youngtak M. Kim, Neil T. Bendle, John Hulland, Michael D. Pfarrer
{"title":"Corporate sustainability research in marketing: Mapping progress and broadening our perspective","authors":"Youngtak M. Kim, Neil T. Bendle, John Hulland, Michael D. Pfarrer","doi":"10.1007/s11747-024-01050-9","DOIUrl":"https://doi.org/10.1007/s11747-024-01050-9","url":null,"abstract":"<p>This review examines corporate sustainability research in marketing, using a perspective that encompasses the environmental and social, as well as economic, aspects of firm performance (i.e., the “Triple Bottom Line”). The authors describe major trends in the strategy-level corporate sustainability literature over several generations. Prior research has mostly focused on the organizational level, noting how firms have engaged with sustainability, while largely ignoring markets and the global economic system. Trends in economic, environmental, and social focus are highlighted, with environmental issues being of relatively greater importance in the nascent stages of corporate sustainability research. However, a growing preference for economic and social issues is observed over time. More recent research examines the tension between sustainability and profitability, examining potential trade-offs between bottom line financial results and achieving the sustainability goals of social and environmental progress. The paper concludes with an agenda for future research in strategic marketing sustainability.</p>","PeriodicalId":17194,"journal":{"name":"Journal of the Academy of Marketing Science","volume":"27 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142306205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andreas H. Heusler, Natasha Z. Foutz, Martin Spann, Lucas Stich
{"title":"The idea marketplace: Diversity, social capital, and innovation","authors":"Andreas H. Heusler, Natasha Z. Foutz, Martin Spann, Lucas Stich","doi":"10.1007/s11747-024-01045-6","DOIUrl":"https://doi.org/10.1007/s11747-024-01045-6","url":null,"abstract":"<p>Firms increasingly leverage idea markets, where participants (such as employees) generate, improve, and evaluate ideas on a collaborative digital platform. Different participants contribute differently to the ideation process, some generating high quality ideas while others initiating discussion threads and commenting on the ideas to further enhance the ideas’ quality. Such diverse contributions may be importantly influenced by the participants’ diverse social capital—<i>resource access</i> and <i>status</i>—in their pre-existing network. We theorize this relationship and further test our hypotheses by conducting two idea market studies, one involving only a firm’s employees (Study 1: closed innovation) and the other further incorporating non-employees (Study 2: open innovation). We show that the <i>higher quality ideas</i> are generated by the participants with greater <i>resource access</i>, whereas <i>continued engagement</i>, including contributing larger quantities of ideas, discussion threads, and comments, stems from those with higher <i>status</i>. These findings have important implications for ideator recruitment and idea market design.</p>","PeriodicalId":17194,"journal":{"name":"Journal of the Academy of Marketing Science","volume":"49 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142166086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dipayan Biswas, Annika Abell, Mikyoung Lim, J. Jeffrey Inman, Johanna Held
{"title":"Effects of sampling healthy versus unhealthy foods on subsequent food purchases","authors":"Dipayan Biswas, Annika Abell, Mikyoung Lim, J. Jeffrey Inman, Johanna Held","doi":"10.1007/s11747-024-01047-4","DOIUrl":"https://doi.org/10.1007/s11747-024-01047-4","url":null,"abstract":"<p>Food sampling at retail stores and restaurants (e.g., amuse bouche) is a widespread practice. These food samples vary considerably in healthfulness levels. Prior research has primarily focused on the effects of sampling on evaluations and sales of the sampled item. However, can there be unintended consequences of sampling a healthy versus an unhealthy item on subsequent purchases of <i>other</i> food items? Also, would the degree of dissimilarity between the sampled item and subsequent options moderate the effects? The results from a series of experiments, including four studies conducted in field settings, show that sampling a healthy (vs. unhealthy) item paradoxically leads to greater subsequent purchase/choice of unhealthy foods – but only when consumers perceive a relatively high level of dissimilarity between the sampled item and subsequent options. This effect reverses when the sampled food and subsequent options are perceived as being relatively low on dissimilarity (i.e., high on similarity).</p>","PeriodicalId":17194,"journal":{"name":"Journal of the Academy of Marketing Science","volume":"43 1","pages":""},"PeriodicalIF":18.2,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142130992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}