Marketing Intelligence & Planning最新文献

Purpose

Running advertising campaigns and attracting the traffic, as well as collecting information from users who have entered the website once, provides the conditions to perform retargeting campaigns and consequently increases website visit rates and sales. The purpose of this research is to design a roadmap of retargeting campaign for small and medium enterprises (SMEs), as well as to compare normal and retargeting advertising campaigns in order to confirm the effectiveness of retargeting campaigns.

Design/methodology/approach

A single-case-study strategy was adopted by choosing advertising Company-X to design the roadmap of retargeting campaigns and evaluate its effectiveness. Using a purposive sampling, semi-structured interviews were conducted with 14 experts of advertising Company-X. Furthermore, the documents and reports available in the company were also analyzed. Thematic analysis was employed to analyze the interviews and documents. Next, a one-way ANOVA test and a two-sample t-test were used to measure the effectiveness of retargeting campaigns of the Company-X compared to normal campaigns with secondary data of 22 SMEs for a six-month period.

Findings

The qualitative phase led to the presentation of a roadmap for the retargeting campaigns in three stages: preparation, process and implementation. The results of the quantitative phase revealed that the ratio of clicks to impressions (click-through rate) and the ratio of successful purchase tags to clicks (conversion rate) are much higher in the retargeting product campaign. Therefore, the performance of selected SMEs as an example in the product retargeting campaign was better than that of the non-retargeting campaigns. Also, the ratio of cost to the successful purchase tag was higher for the product retargeting campaigns.

Originality/value

This study contributes to the literature of retargeting. First, this study provides SMEs with a successful roadmap for retargeting campaigns. Second, this research reveals the effectiveness and mechanism of retargeting for SMEs.

Purpose

Considering the importance of green knowledge in firms' sustainability, this study investigates the mediating mechanism of green knowledge acquisition (GKA) and the moderating role of resource orchestration capability (ROC) in the relationship between green entrepreneurial orientation (GEO) and corporate sustainable performance (CSP).

Design/methodology/approach

Using a sample of 388 executives from 195 small and medium-sized enterprises (SMEs) in the UAE, this study used partial least squares structural equation modelling to examine the proposed relationships among the constructs.

Findings

The research shows that GEO affects CSP's environmental, economic, and social aspects of CSP. This study also highlights the mediating role of GKA in the relationship between GEO and CSP. The moderated mediation analysis results indicate that when ROC is elevated, GEO's indirect influence on environmental and economic performance through GKA is more pronounced.

Practical implications

This study provides useful insights and a novel approach for manufacturing industries and authoritative bodies to alleviate environmental deterioration and improve CSP by encouraging GKA through green entrepreneurship.

Originality/value

This study enriches the existing literature on GEO, GKA, and CSP by focusing on environmental challenges and applying the resource-based view (RBV) framework. The study's findings broaden the theoretical basis for green entrepreneurship, provide guidance on enhancing CSP in manufacturing firms, and advance green entrepreneurship research.

Purpose

Prior research seldom explores the different structures of marketing presence in the top management team (MPTMT) and their impact on new product performance. In this paper, we distinguish among three structures of MPTMT: (1) a dedicated MPTMT; (2) a joint marketing and sales MPTMT; and (3) a joint marketing and other operations MPTMT. We then examine how these three structures of MPTMT are related to cross-functional integration in NPD and, subsequently, new product performance.

Design/methodology/approach

Path analysis is used to test the model using data collected from 139 U.S. manufacturing firms. We conducted two rounds of survey data collection (with a one-year gap) to assess the potential effect of common method variance.

Findings

The results show that, compared with no MPTMT, all MPTMT structures positively affect cross-functional integration in NPD, which, in turn, enhances new product performance. However, joint MPTMT structures have a greater impact than a dedicated MPTMT. Our moderation analysis also reveals that as TMT heterogeneity increases, the effect of dedicated MPTMT diminishes, but the effects of the other two joint structures remain positive and stable.

Research limitations/implications

The model could include alternative mediating organizational processes and performance outcomes.

Practical implications

The findings provide managers with insight on how to configure and leverage marketing influence in the upper echelons in both SMEs and large firms.

Originality/value

The findings of this study highlight the importance of delineating MPTMT structures, understanding how they create value, and specifying their boundary conditions.

Purpose

The wine market has witnessed intensified competition across all aspects. However, there is a limited systematic assessment of wine marketing literature. This study employs bibliometric and thematic content evaluation methodologies to present a comprehensive summary and trend of the existing research in wine marketing.

Design/methodology/approach

This integrates bibliometric and thematic content analytical techniques to trace the evolutionary arc of wine marketing research, underpinned by a framework-based evaluation - the 4 Ws (what, where, why, and how) to give a thorough overview of wine marketing literature. We draw on the thematic structure of wine marketing research by conducting keyword co-occurrence, thematic, social network, and cluster-based content analyses. A total of 291 publications from peer-reviewed journals, spanning the years 2001–2023, were examined in the present study.

Findings

The bibliometric analysis is used to determine the most notable journals, authors, nations, articles, and themes, thereby offering a comprehensive understanding of the publication trends within the sphere of wine marketing. Based on the findings, this study advocates a research agenda to extend further contributions to the field of wine marketing.

Originality/value

The study performs a comprehensive analysis of the publication patterns, influential authors, and emerging trends within the wine marketing research field. It provides a unique insight into the evolution and development of wine marketing as a scholarly discipline, facilitating future research directions and knowledge advancement.

Purpose

The current study analyzes product review videos of influencers to determine why they are popular among customers. The study on electrical and electronic appliances covered by YouTubers is an entirely new field of research. Knowing why customers watch their product review videos before purchasing would be interesting.

Design/methodology/approach

We analyzed 172 product review videos from influencers on YouTube. Subsequently, the study employed negative binomial regression (NB2) to predict the explanatory power of the independent variables over the dependent variables.

Findings

This paper recommends two different models for viewer engagement in online review videos. One can be used for high and the other for low viewer engagement. Comparatively, viewers put more effort into commenting on a video than liking it. Yet both have their importance as per the requirement.

Research limitations/implications

We only focused on video content in English and Hindi. The study data considered review videos from various electrical and electronic appliances. Future researchers may replicate this study on different product categories.

Practical implications

This study makes a remarkable contribution to how firms and their managers can optimize video content when designing marketing strategies, particularly for retailers and e-tailers.

Originality/value

The current paper takes the lead in contributing to the existing literature on marketing in two ways. First, focusing on product review videos from influencers and second, employing a video analysis approach. Furthermore, this study recommends two different viewer engagement models for marketing practices when employing quantitative and qualitative video content.

Purpose

Purpose. Based on the Uses and Gratifications Theory (UGT), theory of consumer brand engagement (CBE), and empirical findings, we examine the impact of social media marketing (SMM) on brand awareness (BA), consumer brand engagement (CBE), and purchase intention in emerging economies.

Design/methodology/approach

Data were collected in North Macedonia, Albania, Kosovo, Romania, and Ukraine from 1808 social media users, through a self-administered online survey. Partial least square structural equation modeling was used to assess the theoretical model, and a multi-group analysis to explore the differences between countries.

Findings

Social media marketing has a positive impact on brand awareness, brand engagement, and purchase intention, while country moderates the relationship between brand engagement and purchase intention. We reveal differences among countries regarding SMM's impact on brand engagement and purchase intention.

Practical implications

The study promotes SM's impact on brand communications, providing consumer insights that help companies design effective SMM strategies, using similarities and differences in emerging economies. The different levels of CBE and their different influences on purchase intention require a focus on the motivations for brand engagement in social media and the type of content preferred by consumers in each country. The originality of our research lies in our examination of the impact of social media marketing on consumer behavior in five emerging countries. Additionally, we are investigating how the country of origin influences the relationship between social media marketing, brand awareness, consumer behavior, and purchase intention in different countries.

Originality/value

The originality of our research lies in our examination of the impact of social media marketing on consumer behavior in five emerging countries. Additionally, we are investigating how the country of origin influences the relationship between social media marketing, brand awareness, consumer behavior, and purchase intention in different countries.

Purpose

Artificial intelligence (AI) used in service has sparked fundamental changes in how enterprises engage their customers. AI specifically designed for customer service is denoted as service-oriented AI. Through the lens of social information processing theory and the pleasure-arousal-dominance (PAD) emotional state model, this study aims to examine the underlying mechanisms for service-oriented AI anthropomorphism to influence customers' propensity for value co-creation.

Design/methodology/approach

Our data were collected from hotel customers who had experienced interactions with service-oriented AI. Through purposive sampling, 350 survey responses were collected. We analyzed the survey data using covariance-based structural equation modeling (CB-SEM).

Findings

This study has two key findings. Firstly, customers' propensity for value co-creation is favorably facilitated by the anthropomorphism of service-oriented AI. Secondly, the anthropomorphism of service-oriented AI can strengthen customers' perceptions of cuteness and service capacity, elicit a sense of novelty, and enhance customers' propensity to collaborate with service-oriented AI to create value. These findings address the research gaps by focusing on customer engagement through service-oriented AI and provide a theoretical basis for subsequent practical endeavors in the field.

Originality/value

Integrating the PAD emotional state model with the social information processing theory, this study explores the effects of service-oriented AI's anthropomorphism on customers' propensity for value co-creation.

Purpose

We attempt to analyze the impact of retailer’s rebate strategy on consumer reviews and retailer’s profits.

Design/methodology/approach

Retailers' rebates have a chance to affect sales and their profits by encouraging customers to submit product reviews. To investigate the impact of retailer’s rebate strategy on consumer reviews and retailer’s profits, we describe the consumer’s utility function and the number of consumer-written reviews by introducing the concepts of product demand mismatch and consumer review effort, then develop a two-stage model of the retailer’s rebate strategy and examine how the retailer’s rebate affects online reviews, the consumer’s perceived utility and the retailer’s profit. Finally, a number case verifies the validity and rationality of the proposed model.

Findings

The results show that the rebate strategy can effectively reduce consumer dissatisfaction caused by excessive product demand mismatch, improve the consumer utility, prompt more positive comments, and thus increase product sales.

Originality/value

In this paper, we focus on the impact of retailers' rebate strategy on consumer purchase decisions. The research can accurately reflect the influence of online reviews on consumers and retailers, assisting merchants in making the best selections. The analysis indicates that the retailer’s rebate strategy can have a direct impact on consumers' evaluation choices and product sales.

Purpose

Gamification in mobile apps has emerged as a compelling strategy to foster firm’s relationships with their customers through mobile applications. This study utilizes a meta-analytic review to demonstrate how gamification shapes consumer responses and how moderator variables play a role in this process.

Design/methodology/approach

The study employed a meta-analytic review to combine and synthesize data from 62 studies, including 71 independent samples and a sample size of 20,510 to test the research model and examine the role of moderators in this model.

Findings

Findings reveal that gamification, through the customer experience components (cognitive, hedonic, pragmatic and social elements), leads to customer engagement, resulting in word-of-mouth and loyalty. However, privacy concerns play a destructive role in this process, deteriorating customer–firm relationships. Moderator analysis indicates that gamification design elements, such as rewards, progression and customization systems, along with product and service benefit, involvement, familiarity and firm type moderate the relationship between gamification and customer response.

Research limitations/implications

The meta-analysis main and moderator analysis results provide several insights for marketing managers that assist them in developing an effective gamification in mobile app strategy.

Originality/value

The findings reveal novel insights, encompassing both the bright and dark sides of the influence of gamification on customer response, while also examining the moderating roles of gamification, product and service and firm characteristics.

Purpose

Artificial intelligence (AI) has become a pivotal technology in both marketing and daily life. Despite extensive research on the benefits of AI, its adverse effects on customers have received limited attention.

Design/methodology/approach

We employed meta-analysis to synthesise effect sizes from 45 studies encompassing 50 independent samples (N = 19,503) to illuminate the negative facets of AI's impact on customer responses.

Findings

Adverse effects of AI, including privacy concern, perceived risks, customer alienation, and uniqueness neglect, have a negative and significant effect on customers' cognitive (perceived benefit, trust), affective (attitude and satisfaction) and behavioural responses (purchase, loyalty, well-being). Additionally, moderators in AI (online versus offline), customer (age, male vs. female), product (hedonic vs. utilitarian, high vs. low involvement), and firm level (service vs. manufacturing) and national level (individualism, power distance, masculinity, uncertainty avoidance, long-term orientation) moderate these relationships.

Practical implications

Our findings inform marketing managers about the drawbacks of utilising AI as part of their value proposition and provide recommendations on how to minimise these effects in different contexts. Additionally, policymakers need to consider the dark side of AI, especially among the vulnerable groups.

Originality/value

This paper is among the first research studies that synthesise previous research on the dark side of AI, providing a comprehensive view of its diminishing impact on customer responses.