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This article reviews the quantitative marketing literature on artificial intelligence (AI) through an economics lens. We apply the framework in Prediction Machines: The Simple Economics of Artificial Intelligence to systematically categorize 96 research papers on AI in marketing academia into five levels of impact, which are prediction, decision, tool, strategy, and society. For each paper, we further identify each individual component of a task, the research question, the AI model used, and the broad decision type. Overall, we find there are fewer marketing papers focusing on strategy and society, and accordingly, we discuss future research opportunities in those areas.

Further understanding of how stakeholder marketing explains firm performance through greater customer satisfaction, innovation, and reputation of a firm.

Grounded in stakeholder theory, the study provides a conceptualization of stakeholder orientation based on cultural values that is distinctive from stakeholder responsiveness and examines the relationship of stakeholder responsiveness to firm performance. The study determines the mediating role of marketing outcomes on the impact of stakeholder responsiveness on firm performance. Multiple regression analysis tests hypotheses using a data set consisting of qualitative data obtained from corporate documents and quantitative data from respected secondary sources.

Our findings provide support for stakeholder marketing creating a strong relationship to organizational outcomes. There exists a positive relationship between stakeholder responsiveness and firm performance through customer satisfaction, innovation, and reputation.

Our definition implies that stakeholder responsiveness is acting in the best interests of the stakeholder as a responsible business. This study shows that stakeholder marketing may not always represent socially responsible marketing. Further research could explore how and why firms may not respond ethically and responsibly to stakeholders.

We further the discussion whether stakeholder marketing equates to sustainability. Marketers can build on expertise of managing customer relationship and generating customer value to develop a stakeholder marketing approach that addresses the economic, social, and environmental concerns of multiple stakeholders.

We further the discussion whether stakeholder marketing equates to sustainability. Marketers can build on expertise of managing customer relationship and generating customer value to develop a stakeholder marketing approach that addresses the economic, social, and environmental concerns of multiple stakeholders.

The sharp increase in interest in social networks among marketing scholars and practitioners has coincided with the rapid proliferation of social networks among broader populations. Considering the substantial body of research that has emerged, it is an opportune time to reflect on the state of social network research (SNR) in marketing. Therefore, this chapter reviews recent marketing research, organized according to substantive areas of interest, followed by a discussion of critical dimensions of SNR for researchers, including network actor characteristics, modes, boundaries, impacts, and mechanisms, as well as the relevant level of analysis. By documenting how SNR can inform marketing decisions and influence marketing outcomes, this study also establishes recommendations for research to advance the state of SNR in marketing. A 2 × 2 classification schema reveals four categories that might guide scholars' choices of research designs, theories, constructs, and measures for SNR.

The present chapter includes a case study that describes and analyzes three performance audit reports over a three decade period for one U.S. state government's destination management organization's (DMO) actions and outcomes. This report extends prior studies (Woodside & Sakai, 2001, 2003) that support two conclusions: (1) the available independent performance audits of DMOs’ actions and outcomes indicate that frequently DMOs perform poorly and fail to meaningfully assess the impacts of their own actions and (2) the audits themselves are shallow and often fail to provide information on DMOs’ actions and outcomes relating to these organizations largest marketing expenditures. The chapter calls for embracing a strategy shift in designing program evaluations by both government departments responsible for managing destinations’ tourism marketing programs and all government auditing agencies in conducting future management performance audits. The chapter offers a “tourism performance audit template” as a tool for both strategic planning by destination management organizations and for evaluating DMOs’ planning and implementing strategies. The chapter includes an appendix – a training exercise in using the audit template and invites the reader to download a tourism performance audit report of a destination marketing organization and to apply the template after reading the report.

This chapter elaborates on the usefulness of embracing complexity theory, modeling outcomes rather than directionality, and modeling complex rather than simple outcomes in strategic management. Complexity theory includes the tenet that most antecedent conditions are neither sufficient nor necessary for the occurrence of a specific outcome. Identifying a firm by individual antecedents (i.e., noninnovative vs. highly innovative, small vs. large size in sales or number of employees, or serving local vs. international markets) provides shallow information in modeling specific outcomes (e.g., high sales growth or high profitability) – even if directional analyses (e.g., regression analysis, including structural equation modeling) indicate that the independent (main) effects of the individual antecedents relate to outcomes directionally – because firm (case) anomalies almost always occur to main effects. Examples: a number of highly innovative firms have low sales while others have high sales and a number of noninnovative firms have low sales while others have high sales. Breaking-away from the current dominant logic of directionality testing – null hypothesis significance testing (NHST) – to embrace somewhat precise outcome testing (SPOT) is necessary for extracting highly useful information about the causes of anomalies – associations opposite to expected and “statistically significant” main effects. The study of anomalies extends to identifying the occurrences of four-corner strategy outcomes: firms doing well in favorable circumstances, firms doing badly in favorable circumstances, firms doing well in unfavorable circumstances, and firms doing badly in unfavorable circumstances. Models of four-corner strategy outcomes advance strategic management beyond the current dominant logic of directional modeling of single outcomes.

Despite overwhelming research on market orientation, during the last 30 years, the need for consolidation is addressed. This research investigates the role of market orientation capability in the marketing–performance outcome chain. Three fundamental capabilities are conceptualized – market exploration, market orientation exploration, and market orientation tacitness – and included as antecedents of the market orientation capability. The hypothesized model includes operational and organizational performance variables and combines key-informant data and accounting-based data for five years. The model is tested with a single industry of 297 companies that provide support for the expected direct and indirect effects of market orientation capability. The inclusion of the three fundamental capabilities as antecedents of market orientation explains 74% of its variance and have a significant indirect impact on sales growth and profitability. The chapter suggests that there remain numerous important unanswered questions in conceptualizing and empirically studying market orientation capabilities.

Instagram is a social media platform that has quickly evolved from a photo-sharing application to a successful marketing tool. It holds various business opportunities, and its rapid growth helps showcase the business offerings. Its innovative use of adverts entices clients, and its visual nature complements the social media marketing strategy. Thus, looking at the dynamic nature and growth of the platform, this chapter outlines the past research trends in the literature of Instagram marketing as the primary objective. This structured review undertakes the study of 76 articles based on defined inclusion and exclusion criteria and analyzes the literature in different contexts. This chapter includes the hybrid review (narrative and framework-based), and findings from the literature highlight a significant influence of Instagram marketing on users. During the brief description of the literature in a different context, the numerous research gaps are outlined with future research directions based on the ADO framework. Lastly, it also presents a broader overview of the managerial and theoretical implications based on the literature of Instagram marketing.