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This chapter explains the phenomenon of artificial intelligence (AI) powered by big data in technology and its contribution in knowledge-based marketing in B2B and its impact on rational decision-making in B2B marketing that affects business performance. This chapter is literature review prepared by compiling and reviewing previous literature, studies, articles, books and other sources related to the contribution of big data-enabled AI to B2B marketing. According to the information analysed, the findings show that big data supported by AI plays a significant role in creating user knowledge, external knowledge and customer knowledge, all of which are factors that significantly influence the ability of business-to-business marketers to make rational decisions that affect the performance of their companies. This chapter explains to them the phenomena of AI powered by big data and its effect on B2B marketing rational decision that will enhance company performance and its contribution on knowledge-based marketing in B2B. This chapter contributes to understanding main functions and interactions of AI system powered by big data and how such a system helps in B2B marketing by generating knowledge about customers, users and markets.

Food security reflects the amount of access and availability of healthy, nutritious, and culturally appropriate food and represents a significant problem both nationally and globally. Individuals and families that are considered food insecure experience disparities and inequities in food access and availability and insufficiency in the amount and kind of food required for a healthy lifestyle. We see high food insecurity as a violation of one's rights to a healthy and secure life and a denial of the opportunity for individuals, families, and communities to realize their full potential in society. Thus, we examine food insecurity from three distinct but related perspectives: social responsibility, social justice, and social sustainability. We then explore the link between food insecurity and the “built environment” as needed to shape research, practice, and sustainable solutions in the future.

Estimation of (in)efficiency became a popular practice that witnessed applications in virtually any sector of the economy over the last few decades. Many different models were deployed for such endeavors, with Stochastic Frontier Analysis (SFA) models dominating the econometric literature. Among the most popular variants of SFA are Aigner, Lovell, and Schmidt (1977), which launched the literature, and Kumbhakar, Ghosh, and McGuckin (1991), which pioneered the branch taking account of the (in)efficiency term via the so-called environmental variables or determinants of inefficiency. Focusing on these two prominent approaches in SFA, the goal of this chapter is to try to understand the production inefficiency of public hospitals in Queensland. While doing so, a recognized yet often overlooked phenomenon emerges where possible dramatic differences (and consequently very different policy implications) can be derived from different models, even within one paradigm of SFA models. This emphasizes the importance of exploring many alternative models, and scrutinizing their assumptions, before drawing policy implications, especially when such implications may substantially affect people’s lives, as is the case in the hospital sector.

In recent years, entrepreneurship education has become increasingly popular to promote economic development and encourage entrepreneurship. This chapter aims to review the effectiveness of entrepreneurship education and the mode of delivery. This review will help understand the effectiveness of entrepreneurship education (entrepreneurial skills, entrepreneurial intention, enhanced entrepreneurial mindset and greater business success). It will also help understand the mode of delivery (classroom instruction, experiential learning, mentoring and coaching and online learning) Using the traditional review methodology, the chapter focusses on the outcomes of entrepreneurship education on students and their attitudes, intentions and behaviours towards entrepreneurship. The chapter also evaluates the various modes of delivery, including traditional classroom-based instruction, experiential learning and online education. The review compared the United States of America and South African points of view on entrepreneurship education to posit significant directions on how to effectuate entrepreneurship education. The chapter further reviews the sustainable development goals that are aligned with entrepreneurship. Overall, the chapter concludes that entrepreneurship education is effective in promoting entrepreneurial attitudes, intentions and behaviours, and its mode of delivery significantly influences its impact. The chapter recommends the integration of active and experiential learning methods into entrepreneurship education, and the development of innovative modes of delivery to reach a wider audience. Policymakers should also support the integration of entrepreneurship education into the formal education system to promote economic development.

This chapter delves into the complex interplay between ethics, law and business case regarding diversity and inclusion within organisations. While the business case for diversity and inclusion has gained prominence, the ethical imperative often lacks comparable influence. Despite the coercive forces of laws and regulations, ethical values struggle to exert significant pressure on diversity-related issues.

This study concentrates on “ambiguity of law” and “abstaining from complaint” about discrimination, mistreatment, or unfair behavior to explain the weak pushing effect of ethical values on diversity- and inclusion-related issues. The ambiguity of law fosters open-ended discussions and varied interpretations, complicating efforts towards equitable treatment. Furthermore, the reluctance to voice complaints regarding discrimination or mistreatment blurs the boundary between ethics and business.

This chapter points out ethical values in the shade of the business case approach and proposes strategies to strengthen the influence of ethics in diversity management. Moral awareness, a sense of justice, and ethical coding of decisions are prominent components of this chapter that may contribute to strengthening the ethical infrastructure of organizations.

The purpose of this study was to gather insights from sport marketing professionals and identify key opportunities, challenges and knowledge that sport marketing educators and researchers could utilize in developing curriculum and research agendas.

A qualitative approach was used, and data were collected through in-depth interviews with 15 sport marketing professionals. Participants were asked questions related to the knowledge, skills and experiences that they believe are important for students to have to be successful in the industry, as well as the types of research that would be most useful in their day-to-day work.

Industry professionals noted collaboration, transformation in digital marketing, data and analytics and experiential marketing as key trends facing the industry today. The findings suggest that sport marketing curriculum should focus on soft skill development such as communication, relationship building and empathy alongside hard skill development such as data analysis and storytelling. As well, findings show research areas where scholars can aid practitioners with a focus on consumer insights, technology, measuring ROI and experiential marketing.

With these findings, educators and scholars can better prepare students for successful careers in industry and contribute to the ongoing advancement of the scholarly field. This study serves as a starting point for further research in this area, and it is hoped that it will spark continued collaboration between academia and industry.