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Today's marketing is dominated by decision-making based on artificial intelligence and machine learning. This study focuses on one semi- and unsupervised machine learning technique, generative adversarial networks (GANs). GANs are a type of deep learning architecture capable of generating new data similar to the training data that were used to train it, and thus, it is designed to learn a generative model that can produce new samples. GANs have been used in multiple marketing areas, especially in creating images and video and providing customized consumer contents. Through providing a holistic picture of GANs, including its advantage, disadvantage, ethical considerations, and its current application, the study attempts to provide business some strategical orientations, including formulating strong marketing positioning, creating consumer lifetime values, and delivering desired marketing tactics in product, promotion, pricing, and distribution channel. Through using GANs, marketers will create unique experiences for consumers, build strategic focus, and gain competitive advantages. This study is an original endeavor in discussing GANs in marketing, offering fresh insights in this research topic.

Escalation in the number of online food ordering platforms, along with extensive junk food marketing, lucrative offers and discounts, innovation in food flavors, and doorstep delivery of food, have triggered the consumption of high-calorie and unhealthy food products which pose serious threats to the health and future well-being of individuals by making them more obese. To date, several public policy frameworks have been developed to confront obesity; however, their efficacy seems debatable. Directionally, the objective of this study is to highlight the potential influence of “digital nudging” which aims at steering individuals in desired directions, at the same time delimiting their freedom of choice. The study also establishes the effectiveness of digital nudges promoting a healthy lifestyle by steering individuals toward healthier food choices. The author strongly believes that this conceptual perusal will offer immense inputs to healthy food marketers and researchers alike in addressing the matters of obesity. Addressing the menace of obesity calls for joint efforts of the government, the public, researchers, and more specifically food product manufacturers/marketers who should incorporate healthier food options into their portfolios. E-tailers are also urged to adopt such practices in virtual markets and promote healthier food options to effectively tackle obesity.

Purpose: This chapter aims to find the impact of cultural marketing on consumer buying behaviour and analyse the cultural factors affecting consumers’ buying behaviour. Cultural marketing aims to offer and promote a product, a message, or a service to a group of people who may be their potential purchasers and belong to the same culture or particular demographic.

Methodology: This study uses the published research for different countries viz. India, Canada, Germany, the UAE, the UK, the USA, Japan, etc., in the field of culture, cross-culture, and consumer buying behaviour considering various factors and their impact; but in particular, this study focussed on the cultural factors only and analysed their impact on the consumer behaviour of the different countries.

Findings: The study revealed that different countries have their own unique culture. Cultural factors have a positive relationship with consumers’ buying behaviour and exhibit that consumers behave differently towards the same product as per their perception developed by their culture.

Need of the study: Today, the world has become global, and to become a successful consumer oriented market service provider, marketers have to study the psychology of the customers to procure them. This study focusses on one of the essential factors, that is, culture and how cultural factors affect consumer buying behaviour. The study of culture is the gateway to attracting consumers in the market.

Practical implications: The study would help multinational companies in segmentation, targeting, and positioning and developing several marketing strategies for their products. Companies would be able to understand changes in consumer purchasing behaviours that arise from cultural differences, which helps them cater to the needs of their global consumers.

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.

Innovative modern technologies are utilised in the hospitality and tourist industry to attract prospective consumers. Travel vlogs have emerged as a type of visual travel blog which includes information regarding tourist destinations, accommodation, cuisine, touristic activities, mode of accessibility, etc. The current study aims to investigate the influence of vlogger credibility on triggering the tourist intention to visit an eco-tourism destination.

The present study is a quantitative study, and it was conducted by surveying 218 respondents. A structured, close-ended and self-administrated questionnaire was used to collect data from the respondents.

The findings indicated that vlogger trustworthiness, expertise and attractiveness significantly impact Bangladeshi tourists' intention towards visiting an eco-tourist destination.

The present study has several theoretical and practical contributions. Theoretically, the research framework illustrated how the vloggers' trustworthiness, expertise and attractiveness on Bangladeshi tourists' visit intention to eco-tourist destinations. Practically, tourism industry practitioners, particularly destination marketers, will get benefit from the present study.

Knowledge management (KM) is an important topic in the age of big data, and this study adds to the existing body of literature by providing a novel KM perspective on the technological phenomenon of artificial intelligence (AI). This study aims to discover how AI might facilitate knowledge-based business-to-business (B2B) marketing. In this chapter, the authors take a close look at the building blocks of AI and the relationships between them. Future research directions and also the effects of the various market information building components on B2B marketing are discussed. The study’s approach is theoretical; it tries to provide a framework for characterising the phenomenon of AI and its constituent parts. Additionally, this chapter provides a methodical analysis of the three categories of market information crucial to B2B marketing: knowledge of customers, knowledge of users, and knowledge of external markets. This research looks at AI through the lens of the conventional data processing framework, analysing the six pillars upon which AI systems are founded. It also explained how the framework’s components work together to transform data into actionable information. In this chapter, the authors will look at how AI works and how it can benefit B2B knowledge-based marketing. It’s not aimed at AI experts but rather at general marketing managers. In this chapter, the possible effects of AI on B2B marketing are discussed using examples from the real world.

The management of consumer privacy has become a critical concern for organizations in the age of artificial intelligence–powered marketing. The impact of data on the market environment has brought both benefits and challenges, with marketers gaining valuable insights but also raising privacy concerns. As artificial intelligence–powered marketing advances, consumer vulnerability increases due to the sensitivity of collected data. This vulnerability leads some consumers to resort to falsifying information, posing a significant threat to the digital economy. Privacy empowerment and customer control play a vital role in addressing these challenges. This chapter explores the influencing factors and ethical considerations surrounding data falsification. It also discusses strategies to mitigate perceived vulnerability through privacy controls and explores the consequences of data breaches and customer vulnerability. The chapter further emphasizes the need for organizations to balance benefits, risks, and customer trust while harnessing the value of customer data. An ethical framework for data privacy marketing audits is proposed to help organizations assess their data practices responsibly and competitively. By integrating personal data protection strategies within an ethical framework, organizations can protect consumer privacy, enhance customer trust, and maintain their competitive edge in the market.

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.

Small business enterprises (SBEs) are a very critical element of the micro, small and medium enterprises (MSME) sector especially in the underdeveloped locations of the country. SBEs not only provide employment but also support the local economy by way of their products and services. In modern times, their presence on the digital platform is becoming essential and thus, these types of studies are required to bring to the table the issues and practices from the less represented sections of the sector. This study attempts to understand the responsiveness of the SBEs in Sikkim, India, and Bhutan in terms of their frequency of digital marketing (DM) usage. This study also attempts to understand the relationship between the factors affecting the practice or adoption of DM among the SBEs of Bhutan and Sikkim, India. For this purpose, empirical data were gathered from 320 SBEs from Sikkim and Bhutan representing the various sectors as defined by the national governments of the two countries. The SBEs of Bhutan and Sikkim are not found to be very active on the front of DM. The SBEs in these two locations need to become more active in using the digital platforms and tools to promote their products and services. The industry trends and government support in the form of infrastructural development are expected to play a vital role in orienting the SBEs into the adoption of DM in a better way. This study is crucial for the MSME sector, the government, telecom services providers, and local entrepreneurs.

The shift in consumer focus towards green marketing mix elements is not a unique thing. Especially in recent times, most organizations are trying to implement green marketing strategies in order to influence customers as well as to reduce the negative impacts of environmental footprints. However, in recent times service marketing requires thorough implementation of a Green Marketing Mix as evidenced by Asian countries. However, research also claims that the use of a traditional green marketing mix is not a guarantee of success in the long run and therefore has been criticized by several researchers and scholars. Hence, there is a need to follow the Green-SIVA (Solution, Information, Access, and Value) concept in order to create a long-lasting impact on consumer buying and to discuss the application of tools in a more comprehensive manner. Although the linkage of Green-SIVA marketing might provide a new way to develop an effective marketing mix strategy for services. Hence, this chapter has been written purposely to discuss GMM elements with reference to the service industry of Pakistan and tries to develop an association with green-SIVA marketing practices in order to optimize service marketing practices.