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With the rise in wine consumption, accurate wine price forecasts have significantly impacted restaurant and hotel purchasing decisions and inventory management. This study aims to develop a precise and effective wine price point and interval forecasting model.

The proposed forecast model uses an improved hybrid kernel extreme learning machine with an attention mechanism and a multi-objective swarm intelligent optimization algorithm to produce more accurate price estimates. To the best of the authors’ knowledge, this is the first attempt at applying artificial intelligence techniques to improve wine price prediction. Additionally, an effective method for predicting price intervals was constructed by leveraging the characteristics of the error distribution. This approach facilitates quantifying the uncertainty of wine price fluctuations, thus rendering decision-making by relevant practitioners more reliable and controllable.

The empirical findings indicated that the proposed forecast model provides accurate wine price predictions and reliable uncertainty analysis results. Compared with the benchmark models, the proposed model exhibited superiority in both one-step- and multi-step-ahead forecasts. Meanwhile, the model provides new evidence from artificial intelligence to explain wine prices and understand their driving factors.

This study is a pioneering attempt to evaluate the applicability and effectiveness of advanced artificial intelligence techniques in wine price forecasts. The proposed forecast model not only provides useful options for wine price forecasting but also introduces an innovative addition to existing forecasting research methods and literature.

This study/paper aims to reach the core objective of hospitality order cancellation prediction (HOCP), that is, to identify potential cancellers from many customer bases, thereby enhancing the effectiveness of customer retention campaigns. However, few studies have focused on predicting hospitality order cancellation.

A novel profit-driven model for predicting hospitality order cancellation is proposed to bridge this research gap. The authors construct profit-driven extreme gradient boosting (XGBoost) based on a grid search on HOCP to maximize profit by selecting optimal hyperparameters of XGBoost.

Real-world data set is analyzed, and the proposed model yields more profits than other predictive models. Sensitivity analysis proves that the proposed model is robust to the key hyperparameter and application scenario. Furthermore, some preventive measures based on visual analysis results are provided to reduce the cancelled probability of orders.

This research will help hotel managers to transfer the modeling goal to profit orientation and encourage relevant researchers to interpret the prediction results of models for hotel order cancellation prediction in a post hoc manner. Besides, the proposed model can be applied to various enterprises with different average order profits and help managers optimize revenue management.

This research expands the relevant literature and offers guidance for predicting hospitality order cancellation from a profit-driven perspective at the customer level. The proposed model can provide macro-control to hotel managers and obtain the most satisfactory profits in micro-control.

This paper aims to identify the sources of innovation in the current business environment of China. With the set target of transforming China into an innovative society by 2020, the Chinese government has taken dramatic measures to foster the nation’s innovation capability. Whether this Chinese model of promoting innovation has been successful and can be sustainable are controversial issues which need to be analyzed from an academic perspective. In recent years, there have been successful cases of innovation driven by grassroots entrepreneurs, especially in the information and communications technology (ICT) industry. Therefore, it is time to analyze their success factors from the perspectives of both corporate strategy and government policy.

The methodology used in this research is a comparative case analysis, and several high-profile cases in China’s ICT industry have been selected for this comparative study. Information used in the analysis comes from publicly available sources such as business school case studies and industry and news media reports. The authors have been following the evolution of China’s ICT industry for more than a decade; insights from their prior research and knowledge gained through industry contacts are also used in the analysis.

Generally speaking, the types of innovation in China’s ICT industry can be categorized into a top-down or a bottom-up approach. For the top-down approach of innovation driven by the government, the authors analyzed the case of the Chinese government’s effort to build an industry value chain through fostering the Chinese indigenous third-generation mobile communications standard time division–synchronous code division multiple access. In comparison, the authors use several success cases, including the ecosystem built around the highly successful XiaoMi mobile phone and Tencent’s mobile portal WeChat, as it showcases of the bottom-up approach of innovation driven by grassroots entrepreneurship. The comparison of these two approaches suggests that massive government-sponsored projects are unlikely to generate genuine innovation in the highly competitive and dynamic ICT sector. The government’s role should be to foster entrepreneurship and to create a fair business environment.

This research uses the method of comparative case studies to identify the source of innovation in a highly dynamic and uncertain business environment. Findings of this study shed light on the government policy toward innovation in the ICT industry and on the business firms’ strategy on innovation.

The purpose of this paper is to identify why and how organizational network legitimacy facilitates firms' access to knowledge networks and reciprocal knowledge exchange between stakeholders.

The study involves a managerially oriented inductive interpretative research, with empirical evidence sourced from a single in‐depth case study, complemented by hands‐on experience with the industry.

Subsidiaries of multinationals operating in China's politically sensitive and protective mobility technology market have stronger proactive and collaborative aspirations towards exploiting emerging technological opportunities in the external environment and developing technological capabilities because they are more inclined to pursue organizational network legitimacy initiatives.

How organizational network legitimacy is produced, where does it become manifest, and at what administrative layers within China's politically sensitive and protective telecommunications are systematic empirical research questions that could be examined in the future.

Internalizing, driven only by market and/or technology legitimacy, falls short of realizing the organizational network legitimacy goal. It must also include cognitive understanding of the net sum of relational, investment and social legitimacies, as these are cognitively binding as well as benefiting with respect to subsidiaries of multinationals in accessing knowledge networks.

The paper underscores the importance of studying organizational network legitimacy and how it impacts on firms' access to knowledge networks, in a politically sensitive and protective Chinese mobility technology market.

Gloria Chen, an American educated Chinese management consultant, was asked by China Mobile, a leading telecommunication company, to deliver training on career management. Following her own training in the USA, the consultant developed a three-day training program that focussed on deep reflection of who you are and what legacy you want to leave. Much to her surprise, participants reacted strongly to the training with emotional reactions and expressed desires for career change. The consultant, therefore, had to reflect upon the design of the training program and the disconnect between the approach and the context across international borders. This case, written on the basis of first-hand experience, presents a dilemma in training and development where western concepts meet an eastern audience and cultural incongruence brings up new challenges. It is intended for undergraduate and graduate students who are taking training and development courses or international business courses with regard to cultural differences.

This case was based on the author's first-hand experience of delivering training and development programs to China Mobile, with supplemental information including company background and executive quotations provided directly by the client. Video recording of the training program as the author experienced it is available for review and clips from the video may be used to assist teaching this case.

This case is a Training and Development Case written for use by undergraduate students in Human Resources (HR) Management classes. It can be used more broadly in international HR, International Management, or International Business where cultural differences might be a sizable component. For the topic of training and development, the students are expected to have learned about identifying training needs, theories of learning, different training approaches, and started to explore transferring the learning into international context. For the broader topic of cultural differences and international business, the students are expected to have learned about the different manifest of culture, especially social norms related to expression of emotions, as well as inter-cultural experiences for business people working overseas.

Learning styles and training approaches. Learning styles refer to the various ways of learning particular to an individual, that are presumed to allow that individual to learn best. Most people prefer an identifiable method of interacting with, taking in, and processing stimuli or information (Ackerman et al., 1989; Pashler et al., 2009). Based on this idea, successful delivery of training needs to take into consideration the learning styles of participants involved.

This paper seeks to explore the evolution of a third generation mobile communications (3G) industry based on TD‐SCDMA technical standard in China through the lens of network analysis.

The authors argue that inter‐firm alliances help companies gain and integrate internal and external resources and foster technical innovation. The paper analyzes alliance governance structures and governance mechanisms in particular, and shows how they protect and improve network‐based innovation capabilities and competitive advantages during a ten‐year period with the method of social network analysis and case studies.

The authors offer a theoretical model that incorporates cooperation among organizations, the maturity of the industrial chain, and the accumulation of organizational knowledge and social capital.

The paper offers a theoretical model of factors that contributes greatly to the development of technical innovation.

Electronic word of mouth (eWOM) is a digital marketing method that has been considered by some companies as an effective and efficient approach to enhance social learning and the environment for the customers. A social media user could benefit from gaining information from other users to aid their decision-making process. Instagram is an example of a social media platform that could be utilized for the application of eWOM. It could serve as a source of quality, credible and detailed information, and a channel to increase customer interactions and trust. This study aims to determine the effects of eWOM information generated through Instagram on patients’ intention to join the in vitro fertilization (IVF) programs. By adopting the information acceptance model (IACM) theory, several parameters were evaluated: information quality, credibility, usefulness, adoption, attitude toward information, and purchase intention. The structural equation modeling (SEM) was used to analyze as many as 200 respondents of Morula IVF Jakarta and were active Instagram users. The results showed that the adoption of information and attitude toward information had considerably influenced patients’ intentions to join the IVF programs. Such circumstances might have occurred as a result of the increase in information exchange about IVF, through the discussions and sharing of experiences by patients on Instagram. Furthermore, information usefulness was demonstrated to affect information adoption and was influenced by the credibility of information and attitudes toward information. Nonetheless, one variable which did not display any effects on the usefulness of information was the quality of information. In summary, the characteristics of eWOM information that were conveyed on Instagram could affect the intention of patients in joining the IVF program.

This study examines the relationships between structural holes, guanxi and knowledge sharing among groups of stakeholders within a Chinese destination network.

This study conducted surveys, social network analysis and semi-structured interviews to gather data from the stakeholders of a popular Chinese tourist destination to test its hypotheses.

Knowledge sharing within the destination network was impeded by structural holes but facilitated by guanxi. Furthermore, the impeding effect of structural holes on knowledge sharing is alleviated by guanxi.

This study illustrates the ways that stakeholders exploit structural holes and guanxi to promote knowledge sharing, and thus offers novel insights into how destination network structures affect the efficacy of stakeholders when it comes to sharing knowledge and promoting their destination.

The paper aims to explore multilingual thesauri automation construction based on the freely available digital library resources. The key methods and study results are presented in the paper. It also proposes a way that terms are automatically extracted from multilingual parallel corpus.

The study adopted the technology of natural language processing to analyze the linguistics characteristics of terms, and combined this with statistical analyses to extract the terms from technological documents. The methods consist of automatically extracting and filtering terms, judging and building relationship among terms, building the multilingual parallel corpus, and extracting term pairs between Chinese and foreign languages through calculating their associated probability. The experiments run on the Java test platform.

The study obtains the following conclusions: finding the similarities and differences between the Chinese thesaurus standard and international thesaurus standard. The methods for automatically extracting terms and building relationships among them are presented. Eventually the multilingual terms' translation sets are generated based on real corpora. The results of the study show that the proposed methods can obtain better performance. The effect of automatic terms' translation alignment method is better than that of traditional IBM model method.

The study results can provide references for further study and application of multilingual thesauri automation construction using Chinese as a pivot.

The paper proposes new ideas on thesaurus automation construction in the digital age. The presented method based on linguistics and statistics is a new attempt. According to the experimental results, this exploration and study is innovative and valuable. In addition, these ideas and methods give a good start for improving information services of the PRC's National Science and Technology Digital Library.

This paper aims to study the monetary transmission mechanism of China from January 1996 to December 2009 under endogenous structural breaks.

The study constructs a benchmark VAR model and then adds the proxy variables for four channels of monetary policy transmission as endogenous or exogenous variables in the model to study the transmission mechanism in China. Considering a number of reforms carried out in the economic and financial field in the past two decades and the possibility of structural changes in the monetary transmission mechanism, the methodology proposed by Qu and Perron is employed to allow for endogenous structural changes in the model.

By conducting a comparative analysis, conclusions can be drawn from this paper that bank lending is always the dominating channel for monetary policy to influence economy in China and the roles of the interest rate channel and the exchange rate channel have been improved in recent years. However, the role of the asset price channel in monetary policy transmission has weakened since late 2001.

This paper combines the quasi‐maximum likelihood procedure proposed by Qu and Perron in 2007 with a benchmark VAR model, thus providing a new approach to study monetary transmission mechanism and the conclusions can be more sensible.