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Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture and manage interactive marketing relationships. However, most marketers do not have a clear understanding of what AI is and how it may mutually benefit consumers and firms. In this paper, the authors conduct an extensive review of the marketing literature, develop an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships, identify research gaps and offer a future research agenda.

The authors first conduct an extensive literature review in 16 top marketing journals on AI. Based on this review, an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships was conceptualized.

The literature review led to a number of key research findings and summary areas: (1) an historical perspective, (2) definitions and boundaries of AI, (3) AI and interactive marketing, (4) relevant theories in the domain of interactive marketing and (5) synthesizing AI research based on antecedents to AI usage, interactive AI usage contexts and AI-enabled value co-creation outcomes.

This is one of the most extensive reviews of AI literature in marketing, including an evaluation of in excess or 300 conceptual and empirical research. Based on the findings, the authors offer a future research agenda, including a visual titled “What is AI in Interactive Marketing? AI design factors, AI core elements & interactive marketing AI usage contexts.”

The study examines the role of social media technologies (SMTs) as a driver of organization cultural intelligence (OCI) and new product development (NPD) capabilities, and how the complementary effects of these capabilities contribute to multinational corporations (MNCs)’ performance. Further, the study investigates the capability–performance relationship under conditions of high and low market and technological turbulence.

A quantitative survey method was implemented, with the data provided by senior marketing managers employed in MNC regional offices. The proposed model was tested using structural equation modeling and multi-group moderation analysis, and fuzzy-set qualitative comparative analysis (fsQCA).

The results indicate that SMTs support the development of OCI and NPD capabilities, which in turn contribute to MNC regional performance. A high level of technological turbulence only weakens the relationship between OCI and performance.

The results suggest that OCI contributes to MNCs’ performance, by deploying social media information and complementing the organization’s NPD capability under a specific environmental context.

The paper offers practical recommendations to MNCs on social media use when developing and launching new products in different regional markets. MNCs need to recruit culturally intelligent managers, who consider the level of market and technological turbulence when combining several types of capabilities.

Within the dynamic marketing capabilities literature, this is the first study to incorporate and reliably measure cultural intelligence capability. The research offers empirical evidence that OCI and NPD capabilities are necessary to achieve superior MNC performance and depend on the level of market and technological turbulence.

The impact of artificial intelligence (AI) and extended reality (XR, including virtual reality [VR], augmented reality [AR], and mixed reality [MR]) on marketing in Industry 5.0 and Society 5.0 is explored with systematic literature review in this chapter. AIXR is becoming a necessary aspect of marketing, driven by efficiency, productivity, and innovation. Despite AI's capabilities, the human touch in marketing is preferred due to superior adaptive, creative, and innovative abilities. The use of fully automated marketing systems is limited to specific tasks. This research will benefit both practitioners and academics focusing on AIXR in marketing and is limited by the number of included literature.

It is important to implement artificial intelligence (AI) because it can simplify and solve complex problems faster than humans. Because AI learns about people and their behavior from the first purchase, AI marketing can boost marketing efforts by leveraging data to target extremely precise consumer groups. There is a debate about the efficacy of AI marketing due to the constraints and limits imposed by the system's nature. This chapter presents insights from published studies regarding the relationship of AI with marketing and how AI can affect marketing. A real-world example of Netflix's usage of AI in marketing has been demonstrated. Then, consumer attitudes regarding AI were revealed. Then, several ethical considerations concerning AI were highlighted. Finally, the anticipated future of AI marketing was addressed. This chapter demonstrated the significance of firms implementing AI marketing to get a competitive advantage. Although some of the difficulties mentioned in this study need to be resolved, AI marketing has a bright future. There are ethical concerns about bias and privacy that should be addressed further. This chapter will encourage firms to use AI systems in marketing, and it will open the door to concerns that will need to be investigated academically in the future.

This paper investigates the factors affecting individual dispositions toward intentions. Specifically, this study aims to investigate the effects of emotional intelligence, entrepreneurial motivation and creativity on the entrepreneurial intentions of university students in Jordan.

The data were gathered through self-administered questionnaires from a sample of 745 university students in Jordan. The hypotheses were tested using partial least squares (PLS) analysis.

The results indicate a robust relationship between entrepreneurial motivation and creativity and entrepreneurial intention. However, an insignificant relationship was found between emotional intelligence and entrepreneurial intention. The findings of this study reveal that both creativity and emotional intelligence exert a significant and positive indirect effect on entrepreneurial intentions through the mediation of entrepreneurial motivation.

This work suggests that university administrators should consider the significant roles that emotional intelligence, entrepreneurial motivation and creativity play in shaping the entrepreneurial intentions of university students.

While there is limited existing research on this matter within the Middle Eastern context, especially in Jordan, this study aims to address this gap in the Jordanian entrepreneurial literature. As the first of its kind conducted within Jordanian universities, this study contributes significantly to the understanding of entrepreneurial dynamics in the region. Using the Wong and Law Emotional Intelligence Scale, this study evaluates emotional intelligence in Jordan. The results contribute to social psychology literature and suggest actionable government measures, integrated into education systems, to encourage entrepreneurial paths for students and alleviate graduate unemployment.

The emerging attention in big data has led businesses to improve big data analytics talent capability to enrich firm performance. The big data capability pays off for some companies but not for all, and it appears that very few have achieved a big impact through big data. Rooted in the latest literature on the knowledge-based view, IT capability, big data talent capability and business intelligence, this study aims to examine how big data talent capability impact on business intelligence infrastructure to achieve firm performance.

The primary survey data of 272 IT managers and big data analysts from Chinese firms was analyzed by using the structural equation modeling and partial least squares (Smart PLS 3.0). The analysis uncovers a positive and significant relationship in the proposed model.

The finding shows that the big data analytics talent capability positively impacts on business intelligence infrastructure that in turn directs to achieve firm financial and marketing performance.

This study theorized on the multitheoretic lenses, and findings suggest the managers and industry practitioners to develop business intelligence infrastructure capabilities from big data analytics talent capability.

The growing demand for halal products has attracted small and large companies looking to secure their market share in the lucrative global halal market. However, it is difficult for resource-constrained firms, such as small and medium enterprises (SMEs), to compete internationally. Therefore, drawing from a resource-based view, this paper aims to examine how intangible resources affect the export performance of Malaysian SMEs exporting halal food and beverages (F&B) products.

This study used a purposive sampling technique, and respondents were reached out by mail. Out of 517 local SMEs exporting halal-certified F&Bs contacted, 193 firms responded, and only 188 responses were eligible to be used for data analysis. The partial least squares structural equation modelling technique was used to conduct the analysis. The data underwent measurement and structural model evaluation to confirm the hypotheses postulated.

Based on the data analysis conducted, it was discovered that intangible resources, namely, international orientation and marketing capability, significantly influence the export performance of Malaysian SMEs exporting halal F&B. However, the influence of cultural intelligence on export performance could not be demonstrated.

This paper fills the gap of the need for more attention to SMEs in developing countries, especially in the halal industry. This research paper also contributes to international business and halal studies by promoting an understanding of intangible resources as strategic resources for SMEs to create competitive advantages and elevate their export performance in the emerging global halal market.

Knowledge of how entrepreneurial alertness (EA) and effectuation impact small firms' performance in uncertain markets is limited. Suggesting effectuation as a mediation mechanism between EA and small firms' performance, the authors explore how entrepreneurs of small firms apply effectual logic to translate their individual alertness to market opportunities into firms' performance.

A set of hypotheses is tested by partial least squares analysis of survey data collected from small firms in New Zealand.

The results show that effectuation works as a mechanism that mediates a positive association between founders'/managers' alertness to market opportunities and small firms' performance.

Integrating EA with the effectuation theory, the authors contribute to the literature on new market opportunity development and firm performance. The authors argue that entrepreneurs concentrate on action and resources to further develop their marketing intelligence in developing new market opportunities. The authors also enhance the understanding of entrepreneurial marketing decision-making by small firms in a relatively small economy in the Asia–Pacific region.

This paper aims to provide researchers and practitioners with a consumer-focused alternative for considering the integration of artificial intelligence (AI) into services.

The paper reviews and critiques the most popular frameworks for addressing AI in service. It offers an alternative approach, one grounded in social psychology and leveraging influential concepts from management and human–computer interaction.

The frameworks that dominate discourse on this topic (e.g. Huang and Rust, 2018) are fixated on assessing technology-determined feasibility rather than consumer-granted permissibility (CGP). Proposed is an alternative framework consisting of three barriers to CGP (experiential, motivational and definitional) and three responses (communicate, motivate and recreate).

The implication of this research is that consistent with most modern marketing thought, researchers and practitioners should approach service design from the perspective of customer experience, and that the exercise of classifying service occupation tasks in terms of questionably conceived AI intelligences should be avoided.

Indicative of originality, this paper offers an approach to considering AI in services that is nearly the polar opposite of that widely advocated by e.g., Huang et al., (2019); Huang and Rust (2018, 2021a, 2021b, 2022b). Indicative of value is that their highly cited paradigm is optimized for predicting the rate at which AI will take over service tasks/occupations, a niche topic compared to the mainstream challenge of integrating AI into service offerings.

This study aims to explore how emotional intelligence (EI) in members of family businesses can enhance the relationships with the stakeholders and whether adopting a relationship marketing approach could extend a family businesses' longevity, the businesses' success through generations.

A mixed-method approach was adopted, and two studies (quantitative followed by qualitative) were conducted in Mexico on small to medium-sized enterprises. This study considers the perspective of owners and employers of family businesses.

The study provides important insights into the relationship between EI and relationship marketing. Enhancing EI in family members whilst conducting a relationship marketing approach, both internal and external, will result in better performance. Family businesses can alleviate conflicts inherent to family emotions whilst building and maintaining strong relationships with customers and suppliers that can secure the long-term success of the organisation by enhancing EI.

Considering the majority of the literature is focussed on highly developed economies such as the USA, the UK and major developing economies such as China and India, this mixed-method study offers Mexico as a novel setting that has become an important procurement hub in light of the recent global developments and international relationship policies.