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The aim of this paper is to provide a narrative review of previous research on tourism demand modelling and forecasting and potential future developments.

A narrative approach is taken in this review of the current body of knowledge.

Significant methodological advancements in tourism demand modelling and forecasting over the past two decades are identified.

The distinct characteristics of the various methods applied in the field are summarised and a research agenda for future investigations is proposed.

本文旨在对先前关于旅游需求建模和预测的研究进行叙述性回顾并对未来潜在发展进行展望。

本文采用叙述性回顾方法对当前知识体系进行了评论。

本文确认了过去二十年旅游需求建模和预测方法论方面的重要进展。

本文总结了该领域应用的各种方法的独特特征, 并对未来研究提出了建议。

El objetivo de este documento es ofrecer una revisión narrativa de la investigación previa sobre modelización y previsión de la demanda turística y los posibles desarrollos futuros.

En esta revisión del marco actual de conocimientos sobre modelización y previsión de la demanda turística y los posibles desarrollos futuros,se adopta un enfoque narrativo.

Se identifican avances metodológicos significativos en la modelización y previsión de la demanda turística en las dos últimas décadas.

Se resumen las características propias de los diversos métodos aplicados en este campo y se propone una agenda de investigación para futuros trabajos.

Purpose – This study examines the association between social integration at work and health in three societies, urban China, Taiwan, and the United States.Methodology/approach – It analyzes nationally representative survey data collected simultaneously from those three societies. It measures five indicators of social integration at work (the percentage of work contacts among daily contacts, the number of daily work contacts, the percentage of daily work contacts within the company/organization among all daily work contacts, the number of daily work contacts within the company/organization, and the percentage of work discussants within the company/organization) and two health outcomes (psychological distress and self-reported health limitation).Findings – It finds stronger evidence for the positive health effect of social integration at work in urban China than in Taiwan and the United States.Research limitations/implications – The data set has two limitations: (1) it is cross-sectional; and (2) it was collected from national samples of adults aged 21–64, currently or previously employed, and does not have information on elderly employed adults. This study implies that social integration at work is more likely to protect health in urban China than in Taiwan and the United States.

The purpose of this paper is to identify the core factors that determine tourism demand in four inbound markets of Hong Kong.

The general-to-specific approach was adopted as a step-by-step approach to identify the major determinants of tourism demand in Hong Kong.

The study revealed word of mouth and income of source market are core determinants of tourism demand in all four inbound markets.

Knowledge of core determinants of tourism demand is useful to destination management organizations and tourism business owners for strategic planning and decision making to increase total revenues.

The purpose of this paper is to review recent studies published from 2007 to 2015 on tourism and hotel demand modeling and forecasting with a view to identifying the emerging topics and methods studied and to pointing future research directions in the field.

Articles on tourism and hotel demand modeling and forecasting published mostly in both science citation index and social sciences citation index journals were identified and analyzed.

This review finds that the studies focused on hotel demand are relatively less than those on tourism demand. It is also observed that more and more studies have moved away from the aggregate tourism demand analysis, whereas disaggregate markets and niche products have attracted increasing attention. Some studies have gone beyond neoclassical economic theory to seek additional explanations of the dynamics of tourism and hotel demand, such as environmental factors, tourist online behavior and consumer confidence indicators, among others. More sophisticated techniques such as nonlinear smooth transition regression, mixed-frequency modeling technique and nonparametric singular spectrum analysis have also been introduced to this research area.

The main limitation of this review is that the articles included in this study only cover the English literature. Future review of this kind should also include articles published in other languages. The review provides a useful guide for researchers who are interested in future research on tourism and hotel demand modeling and forecasting.

This review provides important suggestions and recommendations for improving the efficiency of tourism and hospitality management practices.

The value of this review is that it identifies the current trends in tourism and hotel demand modeling and forecasting research and points out future research directions.

This chapter provides an overview of the status of applied econometric research in hospitality and tourism management and outlines the econometric toolsets available for quantitative researchers using empirical data from the field. Basic econometric models, cross-sectional models, time-series models, and panel data models are reviewed first, followed by an evaluation of relevant applications. Next, econometric modeling topics that are germane to hospitality and tourism research are discussed, including endogeneity, multi-equation modeling, causal inference modeling, and spatial econometrics. Furthermore, major feasibility issues for applied researchers are examined based on the literature. Lastly, recommendations are offered to promote applied econometric research in hospitality and tourism management.

The purpose of this paper is to investigate exploration and exploitation as antecedents to speed of internationalization in born global firms.

By using 150 born global firms in China, the authors demonstrate that the influence of exploration and exploitation on born globals’ speed of internationalization. The statistical method in this study is hierarchical regression model.

The results revealed that exploration has a negative effect on the internationalization of born global firms, whereas exploration does not. The interaction between exploration and exploitation has positive influence on born globals’ speed of internationalization.

The study helps entrepreneurs and managers to better understand how to achieve international entrepreneurship success and internationalization success.

This study makes a theoretical development of internationalization speed, a core aspect of international entrepreneurship theory. First, this study contributes to theories on born globals’ speed of internationalization, which the authors redefined in the current study by using two approaches to measure the speed of internationalization of born global firms. Second, the study used exploration and exploitation as the two designated factors that are supposed to affect the speed of internationalization of born globals which contributes to the theoretical literature of international opportunity.

Purpose – The introductory chapter to this special issue highlights contemporary scholarship on networks, work, and inequality.Methodology – We review the last decade of research on this topic, identifying four key areas investigation: (1) networks and hiring, (2) networks and the labor process, (3) networks and outcomes at work, and (4) networks and institutional dynamics.Findings – Social networks play an important role in understanding the mechanisms by which and the conditions under which economic inequality is reproduced across gender, race, and social class distinctions. Throughout the review, we point to numerous opportunities for future research to enhance our understanding of these social processes.

This paper aims to identify the influence of innovation network and technological learning on innovation performance of high-tech cluster enterprises.

Using a questionnaire, data are collected from Dalian High-tech Industrial park in China. In addition, structural equation model is used to identify the influence of innovation network and technological learning on the innovation performance of high-tech cluster enterprise.

The findings of this study show that the centrality of network location and the strength of the network relationship have a direct positive effect on technology acquisition, technology digestion and technology exploit of high-tech cluster enterprises. Meanwhile, technology acquisition has a direct positive effect on technology digestion, technology digestion has a direct positive effect technology exploit, and technology exploit has a direct positive effect innovation performance of high-tech cluster enterprises.

To improve innovation performance, high-tech cluster enterprises should not only nurture and optimize innovation networks but also improve technological learning ability.

This paper empirically supports the significant influence of innovation network and technological learning on innovation performance. While the results provide guidance for researchers and practitioners, it also adds value to innovation-related research.

Based on the cognitive bias theory, this study aims to explore the relationship among the size of new ventures, entrepreneurial experience and organizational decentralization.

This study uses 175 entrepreneurial companies in the Bohai Bay Rim as samples. The hypotheses are tested through partial least squares (PLS).

A clear positive relationship is found between size and organizational decentralization, and entrepreneurial experience is found to have a negative effect on this relationship.

The influences of other variables at the organizational level on organizational decentralization are not taken into consideration, and the measurement of entrepreneurial experience is not accurate enough.

This study also has practical implications. Compared with inexperienced entrepreneurs, experienced entrepreneurs do not always have many advantages. Entrepreneurs should decentralize power at the right time in the process of expanding their businesses and continuously reflect and learn, instead of exaggerating their own intelligence, consequently making more rational decisions.

This study has three theoretical implications. First, it provides a theoretical implication for understanding the characteristics of changes in the organizational decentralization of new ventures, which enriches the literature on organizational decentralization in the field of entrepreneurship. Second, it derives theoretical implications for understanding the role of organizational size in organizational development. Third, this study, which applies the cognitive bias theory to assess the effect of entrepreneurial experience, helps supplement existing research on the relationship between entrepreneurial experience and new ventures.