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This study aims to identify how restaurants can effectively initiate communication via social media to promote ethical dining behaviors. This research investigates the psychological mechanism of how the matching effect of color and a sustainability activity influence customer attitude toward a restaurant and the role of perceived credibility and green image.

Two experimental studies were conducted. Study 1 used a 2 food source (non-sustainable vs sustainable) × 2 color consistency (inconsistent vs consistent) factorial design (n = 231). Study 2 used a 2 food origin (world-famous vs locally renowned) × 2 color consistency (inconsistent vs consistent) factorial design (n = 220).

The results indicate that the matching effect from the marketing effect of sustainability significantly promotes customer attitudes and visit intentions when background color is consistent. An unexpected matching effect was found between a non-sustainable restaurant using world-famous food with its associated color. This research demonstrates a moderation effect of credibility and a mediation effect of green image to explain the ethical decision-making process for customers.

The findings provide suggestions for restaurant marketers to effectively advertise sustainability initiatives and practices using color as a marketing tool via social media.

This research is one of the earliest studies to investigate the effect of color consistency with primary information to demonstrate how consumers respond to restaurant sustainability in social media messages using local food.

Research is needed regarding how to influence young adults’ patterns of cell phone use while driving, amid social pressures to stay connected to their peers. Such insight could form the basis of a social marketing campaign. This study aims to explore the potential of inoculation and narrative messages as strategies to protect (i.e. generate resistance against) negative attitudes toward texting and driving.

Using a three-phase experiment, the investigation explored the impact of different communication message strategies (i.e. inoculation, narrative, control) aimed at reducing texting while driving.

Results indicated that, for college students exposed to messages in support of texting and driving, inoculation messages were superior to both narrative and control messages. These findings can guide the development of strategic social marketing interventions.

Social marketing scholars and practitioners should consider weaving inoculation messages throughout social marketing campaigns focused on this important issue.

To the authors’ knowledge, this is the first study to evaluate and compare inoculation and narrative strategies in the context of texting and driving.

This paper aims to understand what reflexivity means and explores which types of reflexivity could be applied within social marketing practice as a critical approach to overcoming failures.

This paper is a critical literature review.

The study proposes a typology for a reflexive approach to social marketing practice to overcome failures. The typology is built on self and critical reflexivity, simultaneously allowing social marketers to reflect on external and internal factors that may affect the individual's role and could negatively affect social marketing practice unless otherwise considered. The types of reflexivity discussed are not prescriptive; instead, the authors intend to provoke further discussion on an under-researched but vital area of social marketing.

The proposed typology is conceptual; an empirical investigation to gain social marketer's views would further enhance the effectiveness of the applications of the typology.

Social marketers could use the proposed typology for future practice.

This is the first study that conceptualises various types of reflexivity within social marketing practice to overcome failures.

This study aims to explore the spillover effects of data breaches from a consumer perspective in the e-commerce context. Specifically, we investigate how an online retailer’s data breach affects consumers’ privacy risk perceptions of competing firms, and further how it affects shopping intention for the competitors. We also examine how the privacy risk contagion effect varies depending on the characteristics of competitors and their competitive responses.

We conducted two scenario-based experiments with surveys. To assess the spillover effects and the moderating effects, we employed an analysis of covariance. We also performed bootstrapping-based mediation analyses using the PROCESS macro.

We find evidence for the privacy risk contagion effect and demonstrate that it negatively influences consumers’ shopping intention for a competing firm. We also find that a competitor’s cybersecurity message is effective in avoiding the privacy risk contagion effect and the competitor even benefits from it.

While previous studies have examined the impacts of data breaches on customer perceptions of the breached firm, our study focuses on customer perceptions of the non-breached firms. To the best of the authors’ knowledge, this study is one of the first to provide empirical evidence for the negative spillover effects of a data breach from a consumer perspective. More importantly, this study empirically demonstrates that the non-breached competitor’s competitive response is effective in preventing unintended negative spillover in the context of the data breach.

This study aims to empirically examine the factors that affect mobile loyalty (m-loyalty) and its influence on customer reuse intention towards mobile instant messaging services. This study identified measurement items to assess the business users and individual users reuse intention towards mobile instant messaging services and test the relationship in the conceptual model. This study bridges a literature gap focusing on m-loyalty and its impact on customer reuse intention, which has not received attention previously.

To evaluate the influence of the factors, this study identified and extracted the items from past literature to develop the survey instrument. This study surveyed 600 respondents including business users and individual users from the Delhi-National Capital Region of India and applied the structural equation modelling to test the conceptual model.

The results revealed that satisfaction and m-loyalty have a direct effect on the business users and individual users’ reuse intention of mobile instant messaging services. This study found that satisfaction, usability, perceived value, commitment, trust and m-loyalty influence on business users reuse intention. This study indicate that enjoyment has an insignificant relationship on m-loyalty for business users followed by usability and enjoyment has an insignificant relationship on m-loyalty for individual users. Further, female gender does not moderate the relationship between satisfaction and business users reuse intention. The cognitive absorption and the unified theory of acceptance and use of technology (UTAUT) theories supported evaluating the association between the factors in the context of business and individual users reuse intention of mobile instant messaging service.

The empirical findings imply that all the factors except enjoyment have directly influenced the business users reuse intention of mobile instant messaging. The significant influence of usability factor on the business users reuse intention towards mobile instant messaging is the major variation between the validated models of business and individual samples. The results of influencing factors of m-loyalty and its impact on customer reuse intention are associated with cognitive absorption and the UTAUT theories.

Focus on these factors can be beneficial for the business users, managers, mobile instant messaging service providers and application developers to increase customer loyalty and reuse intention for the mobile instant messaging services. This research will facilitate mobile instant messaging service providers to keep their services market relevant and focus on user satisfaction in building applications for loyalty.

This research identified measurement items from earlier literature to identify, analyze and verify the relevance of these factors in m-loyalty and customer reuse intention of mobile instant messaging services and fill the gap in customer reuse intention of mobile instant messaging services literature.

Data-driven marketing is replacing conventional marketing strategies. The modern marketing strategy is based on insights derived from customer behavior information gathered from their facial expressions and neuro-signals. This study explores the potential for face recognition and neuro-marketing in modern-day marketing.

The study conducts an in-depth examination of the extant literature on neuro-marketing and facial recognition marketing. The articles for review are downloaded from the Scopus database, and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is then used to screen and choose the relevant papers. The systematic literature review method is applied to conduct the study.

An extensive review of the literature reveals that the domains of neuro-marketing and face recognition marketing remain understudied. The authors’ review of selected papers delivers five neuro-marketing and facial recognition marketing themes that are essential to modern marketing concepts.

Neuro-marketing and facial recognition marketing are artificial intelligence (AI)-enabled marketing techniques that assist in gaining cognitive insights into human behavior. The findings would be of use to managers in designing marketing strategies to enhance their marketing approach and boost conversion rates.

The uniqueness of this study lies in that it provides an updated review on neuro-marketing and face recognition marketing.

The purpose of this paper is to understand how hospitality companies can best explain controversial corporate social responsibility (CSR) activities to consumers who may not agree with the CSR activity. This research explores message framing through emotional and cognitive appeals to influence consumer perceptions of the Gideon Bible in USA hotel rooms. The study uses the theory of deontic justice to measure the impacts of messaging on consumer perceptions of the morality of the Gideon Bible as suicide prevention in hotels and its relation to controversial CSR initiatives.

The study uses an experimental study design via a self-administered survey to analyze participants’ perceptions of the placement of the Gideon Bible in hotel rooms and participants’ attitudes toward CSR initiatives based on deontic justice and religion using different message framing conditions.

Results show that religion was a major determinant of attitude towards the Gideon Bible, but the sentiment analysis also revealed that negative perceptions can be mitigated through message framing via emotional and cognitive appeals. Additionally, the cognitive appeal did impact CSR perceptions, as did identifying as Christian. Moral outrage emerged as a significant moderator for the relationships between message framing, attitudes toward the Gideon Bible and CSR.

This study provides an extension of deontic justice research to examine justice traits in accepting controversial CSR.

This study aims to identify effective ways to promote plant-based foods in quick-service restaurants by considering customers’ food-related health involvement.

This study conducted a 2 (message format: myth/fact or fact-only) × 2 (message focus: benefit- or attribute-focused) × 2 (health involvement: high or low) quasi-experimental design via a scenario-based online survey. A multivariate analysis of covariance and a bootstrapping approach were used to test the hypotheses (N = 365).

The results indicated that message format and focus jointly influenced customers’ perceived health consequences of plant-based foods and purchase intentions; customers’ health involvement altered the two-way interaction between message format and focus; and perceived health consequences mediated the effects of message format and focus as and customers’ health involvement on purchase intentions.

This study identifies the effectiveness of message format and focus in promoting plant-based foods and extends the sustainable product promotion literature by using resource matching theory and the elaboration likelihood model. Future studies should use field studies to examine how can message framing influence customers’ actual behaviors when purchasing plant-based foods.

This study can help quick-service restaurants better promote plant-based foods considering message format and focus and customers’ food-related health involvement.

This is one of only a few studies that have tested how messages containing both negative and positive information about a product could help promote plant-based foods.

The purpose of this study is to identify the process of virtual influencer stickiness in the age of influencer marketing, which has received little attention in the literature. This is essential because the research creates a theoretical model of follower loyalty/stickiness to virtual influencer techniques from the standpoint of influencer marketing, which has a substantial effect on the evolution of the global marketing world.

In 2022, 302 people who currently follow an Instafamous virtual influencer took part in an Instagram self-administered online survey.

The findings show that both expertise and trustworthiness have a positive and significant influence on parasocial interaction, which in turn has a significant influence on virtual engagement and stickiness.

This research will specifically assist international readers in understanding how to harness and increase the efficiency and efficacy of interactive marketing strategies and methods to engage and retain followers of Instafamous virtual influencer. Moreover, the findings will be beneficial to opinion leaders, brand managers, company investors, entrepreneurs and service designers.

1. The study pioneers a holistic virtual follower stickiness mechanism that comprises the role of source credibility, parasocial interaction, informational influence and virtual follower’s engagement and their interrelationship to each other.

2. This study is based on parasocial interaction theory and source credibility theory to understand the relationship between virtual followers and influencers stickiness process at social media platforms.

3. In addition, the study examined the subsequent effects of sources of credibility components on parasocial interaction; as well as, on virtual follower engagement and stickiness.

4. This study also categorized and examined the moderating effects exerted by the genres of informative influence of virtual influencer.

The study pioneers a holistic virtual follower stickiness mechanism that comprises the role of source credibility, parasocial interaction, informational influence and virtual follower’s engagement and their interrelationship to each other.

This study is based on parasocial interaction theory and source credibility theory to understand the relationship between virtual followers and influencers stickiness process at social media platforms.

In addition, the study examined the subsequent effects of sources of credibility components on parasocial interaction; as well as, on virtual follower engagement and stickiness.

This study also categorized and examined the moderating effects exerted by the genres of informative influence of virtual influencer.

Artificial intelligence (AI) has sparked interest in various areas, including marketing. However, this exhilaration is being tempered by growing concerns about the moral and legal implications of using AI in marketing. Although previous research has revealed various ethical and legal issues, such as algorithmic discrimination and data privacy, there are no definitive answers. This paper aims to fill this gap by investigating AI’s ethical and legal concerns in marketing and suggesting feasible solutions.

The paper synthesises information from academic articles, industry reports, case studies and legal documents through a thematic literature review. A qualitative analysis approach categorises and interprets ethical and legal challenges and proposes potential solutions.

The findings of this paper raise concerns about ethical and legal challenges related to AI in the marketing area. Ethical concerns related to discrimination, bias, manipulation, job displacement, absence of social interaction, cybersecurity, unintended consequences, environmental impact, privacy and legal issues such as consumer security, responsibility, liability, brand protection, competition law, agreements, data protection, consumer protection and intellectual property rights are discussed in the paper, and their potential solutions are discussed.

Notwithstanding the interesting insights gathered from this investigation of the ethical and legal consequences of AI in marketing, it is important to recognise the limits of this research. Initially, the focus of this study is confined to a review of the most important ethical and legal issues pertaining to AI in marketing. Additional possible repercussions, such as those associated with intellectual property, contracts and licencing, should be investigated more deeply in future studies. Despite the fact that this study gives various answers and best practices for tackling the stated ethical and legal concerns, the viability and efficacy of these solutions may differ depending on the context and industry. Thus, more research and case studies are required to evaluate the applicability and efficacy of these solutions in other circumstances. This research is mostly based on a literature review and may not represent the experiences or opinions of all stakeholders engaged in AI-powered marketing. Further study might involve interviews or surveys with marketing professionals, customers and other key stakeholders to offer a full knowledge of the practical difficulties and solutions. Because of the rapid speed of technical progress, AI’s ethical and regulatory ramifications in marketing are continually increasing. Consequently, this work should be a springboard for more research and continuing conversations on this subject.

This study’s findings have several practical implications for marketing professionals. Emphasising openness and explainability: Marketing professionals should prioritise transparency in their use of AI, ensuring that customers are fully informed about data collection and utilisation for targeted advertising. By promoting openness and explainability, marketers can foster customer trust and avoid the negative consequences of a lack of transparency. Establishing ethical guidelines: Marketing professionals need to develop ethical rules for the creation and implementation of AI-powered marketing strategies. Adhering to ethical principles ensures compliance with legal norms and aligns with the organisation’s values and ideals. Investing in bias detection tools and privacy-enhancing technology: To mitigate risks associated with AI in marketing, marketers should allocate resources to develop and implement bias detection tools and privacy-enhancing technology. These tools can identify and address biases in AI algorithms, safeguard consumer privacy and extract valuable insights from consumer data.

This study’s social implications emphasise the need for a comprehensive approach to address the ethical and legal challenges of AI in marketing. This includes adopting a responsible innovation framework, promoting ethical leadership, using ethical decision-making frameworks and conducting multidisciplinary research. By incorporating these approaches, marketers can navigate the complexities of AI in marketing responsibly, foster an ethical organisational culture, make informed ethical decisions and develop effective solutions. Such practices promote public trust, ensure equitable distribution of benefits and risk, and mitigate potential negative social consequences associated with AI in marketing.

To the best of the authors’ knowledge, this paper is among the first to explore potential solutions comprehensively. This paper provides a nuanced understanding of the challenges by using a multidisciplinary framework and synthesising various sources. It contributes valuable insights for academia and industry.