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This study traces the growth of Dragon Boat racing from humble beginnings in 1976 as part of a local tourism strategy by the Hong Kong Tourist Association (HKTA) to position Hong Kong as more distinctive than a destination for shopping or with British colonial history appeal. Dragon Boat racing is now a recognized world sport requiring a global strategy of co-operative alliances and is close to becoming an official sport in the Olympic Games. Emergent strategy and symbolic authenticity of intangible cultural heritage are key concerns for integrating special events as a central tourism experience.

This chapter presents three trends emerging from a review of the literature: concern with balancing authenticity and profit-chasing; the phenomenal fast growth of the sport and the challenge to develop and maintain international control and governance; and seeking evidence of health and well-being benefits of Dragon Boat racing for breast cancer survivors.

Survivors and élite athletes represent a symbolic authenticity connected to ancient Chinese intangible cultural heritage. Chasing profits by including cultural heritage as part of a particular tourism strategy has strengthened and protected the legacy of that heritage in unexpected ways. There are lessons for those charged with designing quality events and tourism experiences linked with intangible culture.

Based on literature review only, but sets a framework for research in several directions.

Demonstrates the blurring of boundaries between tourism, events and sports, and how managers must be adept to shift strategy according to changing unexpected dynamics of threats and opportunities, yet still can adhere to symbolic authenticity to maintain integrity of intangible cultural heritage as a tourism experience.

With the advance of the Silk Road Initiative proposed by China, it has been a focus of China government to develop strategic emerging industries. The development of strategic emerging industries needs the support of competitive intelligence on many aspects such as strategical planning, policy making, industrial structure adjustment, and technology innovation. However, so far there are few studies toward the competitive intelligence systems for strategic emerging industries. In this article, we focus on a number of issues related to the competitive intelligence for strategic emerging industries in China. First, we conduct a strengths, weaknesses, opportunities, and threats analysis on the situations of strategic emerging industries in China, based on which the necessity of building a competitive intelligence (CI) service system for strategic emerging industries is discussed. Next, the authors present a framework of a CI service system for strategic emerging industries in China. The principles, components, working process, and product forms are deeply described. The CI service system proposed in this article consists of a cooperation network platform, three layered organizations, and three systems, which integrates organizations, information, people, network, and service platforms into an ecosystem to offer competitive intelligence supports for government, industry, and enterprises. Finally, the authors discuss a case study of the proposed CI service system for the new energy automobile industry.

Purpose – This chapter reviews the provision for freight transport in Shanghai, and makes recommendations for the development of road freight including the aspects of optimizing the port transportation system, strengthening the planning and construction of freight terminals, promoting the formation of a city distribution system, adjusting downtown traffic policies, and promoting the provision of road freight information systems.

Methodology – Based on primary data and observation, this chapter describes the status of road freight in Shanghai and details existing problems. Based on experience elsewhere it then proposes changes in policy.

Findings – This chapter proposes some recommendations as follows: optimizing the collection and distribution system of the Shanghai port, planning, and construction of road freight terminals, adjusting the freight traffic policy in the central area and improving the performance of freight firms.

Implications – These recommendations, based on good practice elsewhere, should both enhance the efficiency of road freight in Shanghai and reduce its environmental impacts.

Value of chapter – The study will help the sound and orderly development of Shanghai's road freight transportation, better satisfy the needs of the people, and promote the development of Shanghai economy.

This chapter examines herd behavior across national borders. A dynamic latent factor model with Gibbs sampling is used to decompose the national herd behavior into the world, regional, and country-specific components. Testing the daily data from 2000 through 2014 for 47 countries, we find that the impact of world factor on national herd behavior is short-lived. This study indicates that world and regional factors play a significant role in explaining the variations of national herd behavior, constituting 33% of the herding variability. The significance of world and regional components is likely to produce a biased herding estimator.

Nowadays children from immigrant families are the fastest growing group of youth in the United States. Despite the fact that emerging research has highlighted the significance of strong partnerships between families and high-quality early childcare/education programs, many immigrant families face numerous barriers in accessing high-quality childcare/early education as well as establishing strong partnerships with centers. The purpose of this chapter is to explore the emerging challenges that immigrant families face in navigating the U.S. early childhood education system. This chapter first briefly reviews the literature on the role of family involvement in early childhood education within the general U.S. population. This is followed by a review of the unique funds of knowledge that immigrant parents engage in while interacting with their children at home. Then this chapter explores the barriers of immigrant families in developing strong partnerships with early childcare/education programs such as, communication, limited parental English proficiency, lack of public funding, acculturation, education, and cultural perceptions of involvement. Furthermore, this is followed by a focus on two distinct rising immigrant populations within the United States, Hispanic (specifically non-refugee) and refugee populations, and their unique sets of obstacles. Lastly, recommendations are provided for future practitioners and policymakers to support the establishment of stronger immigrant family and professional partnerships within early education and childcare settings.

In this chapter, the authors review emerging literature on multidimensional, information age-related phenomena across different disciplines to derive common themes and topics. The authors then proceed to analyse recent developments in these fields to provide an interdisciplinary overview of the most disruptive challenges for multinational companies (MNCs) competing in the modern information age. These challenges include more efficient peer-to-peer communication between stakeholders, crowd-organisation, globalisation of value chains and the need to organise knowledge resources. The aim of the chapter is not to review all age research, but to identify fundamental uncertainties for MNCs and discuss strategies of tackling such information age phenomena from an international business perspective.

Purpose: The purpose of this chapter is to review and critically evaluate robots, artificial intelligence and service automation (RAISA) applications in the restaurant industry to educate professors, graduate students, and industry professionals.

Design/methodology/approach: This chapter is a survey of applications of RAISA in restaurants. The chapter is based on the review of professional and peer-reviewed academic literature, and the industry insight section was prepared based on a 50-minute interview with Mr. Juan Higueros, Chief Operations Officer of Bear Robotics.

Findings: Various case studies presented in this chapter illustrate numerous possibilities for automation: from automating a specific function to complete automation of the front of the house (e.g., Eatsa) or back of the house (e.g., Spyce robotic kitchen). The restaurant industry has already adopted chatbots; voice-activated and biometric technologies; robots as hosts, food runners, chefs, and bartenders; tableside ordering; conveyors; and robotic food delivery.

Practical implications: The chapter presents professors and students with a detailed overview of RAISA in the restaurant industry that will be useful for educational and research purposes. Restaurant owners and managers may also benefit from reading this chapter as they will learn about the current state of technology and opportunities for RAISA implementation.

Originality/value: To the best of the authors’ knowledge, this chapter presents the first systematic and in-depth review of RAISA technologies in the restaurant industry.