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This research takes Taijiang National Park (TNP) tourists as the study population while gathering the survey data via an online questionnaire. For the data analyses, it uses the importance–performance analysis (IPA) and the Kano two-dimensional quality model to evaluate the tourist satisfaction of TNP. Specifically, it considers the importance of service quality, classifies its service quality attributes, and suggests the priority for service improvement, rendering the TNP valuable reference points to realign service strategies. The study shows that the service quality attributes related to service personnel are the priority item to be improved, which could eventually enhance tourist satisfaction. In addition, brand differentiation could be achieved by improving the attractive quality items identified in this study to enhance tourist loyalty.

Although tourism destination image is a widely studied subject, the perspective of local players is generally neglected, albeit its relevance for informing the positioning and brand management strategies of the places is recognized. This chapter aims to determine the perceptions of key local public organizations from the historical-cultural and heritage sectors and companies linked to commerce and tourism (private sector) about the historic center of a United Nations Educational, Scientific, and Cultural Organization (UNESCO) World Heritage site in Brazil. The results of this investigation contribute to the development of marketing and tourism development strategies in historic towns, especially those classified as World Heritage by UNESCO.

This study investigates the motivation among customers to be more loyal to online food delivery applications (OFDA) services even after the COVID-19 epidemic by using perceived service quality aspects in Sri Lanka. The data were gathered by physically distributing a self-administrated questionnaire to clients in Sri Lanka who continue to use OFDA services on platform to customer (P2C) service delivery platforms to buy food despite the COVID-19 outbreak. Multiple regression is employed to analyse 287 effective observations, and the data revealed the significant positive effect of interaction, environment, outcome, and food qualities on customer loyalty to OFDA services. In fact, there is no impact from the delivery quality on customer loyalty to OFDA services due to outsourced food delivery. The findings suggest regular improvements in attributes such as interaction, environment, outcome, and food qualities in this hyper-competitive business environment. Further, this study sets substantial facts for the interested parties to establish an exemplary delivery system and other technological advancements to have a sustainable competitive advantage and solid customer base in the long run.

The Sundarbans is a unique ecosystem, the most expansive mangrove system in the world covering the Ganga–Brahmaputra–Meghna delta system and spread over 10,000 sq.km across India and Bangladesh. The Indian Sundarbans have been witnessed to large-scale conversion of mangroves to settled agriculture and steady growth of population over the decades. With time, while population growth has taken place, there has been no significant change in the development scenario, as the agriculture and fishing dependent communities have remained trapped in the vicious cycle of poverty. Its deltaic location and its position in the path of cyclones, tidal surges and seasonal floods have made the people and landscape of Sundarbans more vulnerable than ever before. Cyclones affecting this region have grown both in frequency and intensity over the years and have caused devastation to the land, homes, lives and livelihoods. The problem of salinity has also affected the region relentlessly. Given this scenario, scenario of progressing vulnerabilities, livelihood losses have led to a gradual increase in out-migration of the adult male population. This disaster-led outmigration from Sundarban region as a whole has affected the social fabric of displaced communities to a great extent. This chapter makes an attempt to discuss results of sample surveys across six villages in three CD Blocks of Sagar, Gosaba and Kultali to trace the nature and dimension of the migration patterns of the region.

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.

Within Aotearoa New Zealand (NZ) research, funding is sourced from a wide range of NZ and international governments, industries, and philanthropic organisations. This chapter primarily focusses on NZ government public sector funding of research and innovation and the impact this has on research management and administration (RMA) in NZ.

Along with an increase in the number and range of NZ organisations that compete for research funding, there has also been an increase in the complexity and range of roles that need to be undertaken by those involved in RMA. The Future Pathways green paper, released by the Ministry of Environment, Innovation & Employment in October 2021, has signalled a redesign of the ‘public’ research system, which could lead to further changes in the roles and responsibilities of RMA.

This chapter adds to the volume by providing a first-hand account, discussion, and reflection on our experience of coming in as outside “experts” from Australia to develop courses for universities in the Middle East and North Africa (MENA) region. This chapter provides a comparative analysis of two cases illustrating and discussing cross-cultural collaborations for curriculum development for an Industrial Design (ID) program and an interdisciplinary design program in the Middle East, namely the Kingdom of Saudi Arabia (KSA) and the United Arab Emirates (UAE). This chapter aims to provide a better understanding of Quality Assurance (QA) processes and the purpose of curriculum development for employability and entrepreneurship in the MENA region. To meet this aim, we describe the planning processes for the development of the new curricula and the evolution of the programs. We reflect on the differences and similarities of QA frameworks, and their interpretation and use by the universities in the KSA, the UAE, and Australia. We compare the processes and outcomes around specialization versus inter- and transdisciplinarity, as well as around employability in traditional industry versus education for entrepreneurship and future jobs. We observed significant differences between the two recipient MENA countries, and between them and Australia. These related to the understanding and foci of the graduate attributes; the understanding and implementation of course development processes; and the responsibility of provision and oversight of QA oversight in each country. In closing the chapter, we share important learnings through our reflections.

Organizations desire more accurate cost systems as competition increases, and consequently increase cost system complexity, as cost systems with greater complexity are potentially more accurate than simpler systems. However, even complex systems are prone to impactful inaccuracies, for example, due to design or calculation issues, that can adversely affect decision-making and firm performance. The authors investigate whether and the extent to which cost system complexity and competition decrease managers’ attribution of cost-system-driven adverse firm effects to the cost system. The authors find greater cost system complexity (by inspiring greater confidence in the cost system) and higher competition (by providing a plausible external cause) decrease managers’ attribution of cost-system-driven adverse firm effects to the cost system. With both greater cost system complexity and higher competition, managers observing signals of material cost inaccuracies are potentially the least likely to attribute cost-system-driven adverse firm effects to the cost system.