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This chapter identifies issues in the development and marketing of culinary tourism experiences with the goal of determining the value of collaborative forms of product development and marketing.

A literature review examines approaches to marketing of culinary experiences identifying a gap in the study of collaborative approaches such as networking, partnering, and alliances. A case study investigates these themes.

Through the analysis of an in-depth case study of an experiential culinary tourism event in a small city in Eastern Canada (a Restaurant Week) it is determined that informal collaboration in the form of partnership is essential to building and marketing collaborative culinary tourism products and experiences.

This investigation has value for academics studying culinary tourism development and for practitioners implementing collaborative forms of the development and marketing of such tourism offerings and experience.

In the context of culinary tourism, a case study illustrates the value of collaboration in developing and marketing experiential culinary products. Findings indicate informal collaborative partnerships are essential to building and marketing culinary tourism products and experiences, addressing a gap in the literature and providing value for practitioners.

This chapter investigates the current trend toward both creative and experiential tourism in cities in terms of the development and marketing of local attractions.

Creative tourism in cities is profiled through a literature review and further investigated by means of a case study at a local attraction in Toronto, Canada. The choice of a site was one of a creative city and the re-purposing of a formerly industrial site for visitation.

The study of Evergreens Brickworks demonstrated the use of marketing techniques to identify markets and match visitors with experiences. The visitor segmentation method determined that pre-scheduled and bookable activities offered for locals need to be offered on a different basis for tourists, who may be one time visitors to the site. The product-market match process suggested areas in which products could be modified or indeed created.

This practical study offers lessons for other local visitor attractions and their managers desiring to identify market segments and match them with appropriate activities creating experiential tourism at the site level within the creative city context.

While many studies of the creative tourism concept and cities have been undertaken within the context of destinations this research offers a site-specific perspective as well as marketing perspective that will be of practical value to attraction managers.

In conventional discourses on sustainability, the relationship between economics and ecology is central. A number of nations' economies benefited from responsible tourism following these conferences. By supporting local businesses and attractions, ‘green’ tourism helps communities achieve their natural and cultural objectives while also preserving their limited resources. In terms of sustainable travel, Kerala was an early leader. This study looks at RT initiatives in various stages, with an emphasis on green tourism's sustainable responsible travel practises. The green economic development bottom line method was used for this descriptive research. These results highlight the difficulties inherent with RT implementation. Our review of secondary data shows that the first rollout of RT was unsuccessful, but that subsequent stages showed great promise. In order to create sustainable tourism on a worldwide scale, the study also highlights the necessity for more research in other culturally distant places.

This chapter aims to assess the scope of India's gastronomic tourism post-COVID-19 and discuss the utilisation of vlogs to promote India as a gastronomic destination. First, the evolution of gastronomic tourism is reviewed. Next, opportunities and challenges associated with India's gastronomic offerings, both from international and domestic tourism perspectives, are discussed. Then, the role of vlogging to position and promote India as a gastronomic destination is established. The chapter suggests recommendations for the Ministry of Tourism, Government of India on utilising vlogging to promote gastronomic tourism.

Internet-enabled commerce activities have evidently been strong in the leisure and tourism industry. The use of the Internet reveals an ever-growing market of millions of business and leisure travelers who use the Internet for travel planning purpose. As segment-based approach is an accepted tool in strategic marketing and helps understand the needs of homogeneous travel planner subpopulations, this study suggests a framework as the guideline and procedure to improve the segmentation approach. The main aim is to increase understanding of the growing Internet travel market by accurately classifying the Internet travel planners. Following the procedures methodically shown in the framework, the study conducted multiple complementary statistical techniques to cross validate statistical results found in each step. The typology of Internet travel planners was therefore identified systematically with great accuracy and validity. The typology consists of four groups of Internet travel planners: sensate, deal, defensive, and totemic. Based on the major characteristics of each group, the study also provided discussions and suggestions for the implementation of the typology to develop successful e-commerce. The findings offer academia and practitioners a paradigm for strategic marketing.

Bankruptcy prediction has attracted a great deal of research in the data mining/machine learning community, due to its significance in the world of accounting, finance, and investment. This chapter examines the influence of different dimension reduction techniques on decision tree model applied to the bankruptcy prediction problem. The studied techniques are principal component analysis (PCA), sliced inversed regression (SIR), sliced average variance estimation (SAVE), and factor analysis (FA). To focus on the impact of the dimension reduction techniques, we chose only to use decision tree as our predictive model and “undersampling” as the solution to the issue of data imbalance. Our computation shows that the choice of dimension reduction technique greatly affects the performances of predictive models and that one could use dimension reduction techniques to improve the predictive power of the decision tree model. Also, in this study, we propose a method to estimate the true dimension of the data.

The chapter examines to what extent research from social cognitive neuroscience can inform ethical leadership. We evaluate the contribution of brain research to the understanding of ethical leaders as moral persons as well the understanding of their role as moral managers. The areas of social cognitive neuroscience that mirror these two aspects of ethical leadership comprise research relating to understanding oneself, understanding others, and the relationship between the self and others. Within these, we deem it relevant for ethical leadership to incorporate research findings about self-reflection, self-regulation, theory of mind, empathy, trust, and fairness. The chapter highlights social cognitive neuroscience research in these areas and discusses its actual and potential contributions to ethical leadership. The chapter thereby engages also with the broader discussion on the neuroscience of leadership. We suggest new avenues for future research in the field of leadership ethics and responsibility.