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Most retention literature compares students who remain at an institution with those who leave. This paper seeks to extend the analysis by focusing on freshmen who leave in order to transfer to another institution. Using person‐centered and variable centered approaches, it aims to examine subgroups to determine variables contributing to different transfer rates.

Data were collected through surveys, and a quantitative approach was used to analyze the data.

By the unique nature of the sample (i.e. students contemplating transfer to another institution even before their freshman year at Adelphi begins) and utilization of person‐centered and variable‐centered analytic approaches, the current results provide both practical and methodological implications for student retention.

This is an original work which was previously presented at the 2006 Northeast Association of Institutional Association annual conference.

The 2019 novel coronavirus (COVID-19) pandemic has affected many countries around the world. Due to the debate on the source of the outbreak, wildlife meat consumption has gained international attention and become an area that requires further exploration. The purpose of this research is to explore the differences in game consumption motivations and behaviours among populations in northern and southern China.

An online survey on wild meat awareness with (potential) game consumers across the country as target groups was conducted.

Results from this study showed that consumers in the southern region have a preference for wildlife. This preference was determined by factors such as natural environment, history and culture and the level of economic development. However, there was no significant difference in the frequency of game consumption between the north and south since game meat is not a major component of the daily diet.

The government should consider banning this trade permanently to prevent future disease outbreaks caused by wildlife-to-human transmissions.

The consumption of game meat is regional, but the animals in game trades live across a wider area, and thus, game trades have a global influence on ecological systems and human health. Therefore, this epidemic is also a global concern, which might lead people to display a highly negative attitude towards consuming game meat.

Prior literature has long argued that knowledge networks contain great opportunities for innovation, and researchers can identify these opportunities using the properties of knowledge networks (PKNs). However, previous studies have examined only the relationship between structural PKNs (s-PKNs) and innovation, ignoring the effect of qualitative PKNs (q-PKNs), which refer to the quality of the relationship between two elements. This study aims to further investigate the effects of q-PKNs on innovation.

Using a panel data set of 2,255 patents from the Chinese wind energy industry, the authors construct knowledge networks to identify more PKNs and examine these hypotheses.

The results show that q-PKNs significantly influence recombinant innovation (RI), reflecting the importance of q-PKNs analysed in this study. Moreover, the results suggest that the combinational potential of an element with others may be huge at different levels of q-PKNs.

This study advances the understanding of PKNs and RI by exploring how q-PKNs impact RI. At different levels of PKNs, the potential of the elements to combine with others and form innovation are different. Researchers can more accurately identify the opportunities for RI using two kinds of PKNs. The findings also provide important implications on how government should provide support for R&D firms.

The purpose of this paper is to provide an evolutionary view of the emerging wine industry in China.

Research on industry evolution provides a background for the historical evolution of the Chinese wine industry. Case studies are used to illustrate the different strategies of the leading wine producers in China, and to identify the major concerns and challenges in the Chinese wine industry. Growth potentials and ongoing trends are supported with statistics from authoritative databases and Chinese wine industry associations.

The Chinese wine market is characterized by an increasing concentration where the top four domestic producers dominate with 50 per cent market share. The lack of a wine culture makes brand marketing crucial to business success. Limited international efforts have been made by Chinese wine producers, although one winery has embarked on capturing 50 per cent of the global ice‐wine industry.

The paper provides a historical overview of the Chinese wine industry and its current situation, which could not elude generalization and simplification. Enormous regional diversity in China compels differentiated regional studies in terms of production, consumer behaviors and marketing strategies.

The historical evolution of the Chinese wine industry reveals different settings for wine business in China. The dominance of domestic wine companies and ignorance of foreign wine brands among the general public imply a tough setting for foreign wine makers and distributors to enter the market.

The paper provides some insight into the historical and ongoing development of the Chinese wine market.

COVID-19 pandemic has exposed that even the best of the developed nations have surrendered to the devastations imposed on the global supply chains. The purpose of this study is to explore how COVID-19 has exaggerated the supply chain of production and distribution of Taiwan-based face masks and also investigate the conscientious factors and subfactors for it.

In this study, an analytical hierarchy processes (AHP)-based approach has been used to assign the criterion weights and to prioritize the responsible factors. Initially, based on 26 decision-makers, successful factors were categorized into five main categories, and then main categories and their subcategories factors were prioritized through individual and group decision-maker’s contexts by using the AHP approach.

The results of this AHP model suggest that “Safety” is the most important and top-ranked factor, followed by production, price, work environment and distribution. The key informers in this study are stakeholders which consist of managers, volunteers, associations and non-governmental organizations. The results showed that good behavior of the employees under the “Safety” category is the top positioned responsible factor for successful production and distribution of face masks to the other countries with the highest global percentage of 15.7% and using sanitizers to protect health is the second most successful factor with the global percentage of 11.7%.

The limitations faced in this study were limited to only Taiwan-based mask manufacturing companies, and it was dependent on the decisions of the limited company’s decision-makers.

The novelty of this study is that the empirical analysis of this study has been based on a successful Taiwan masks manufacturing company and evaluates the responsible factors for the production and distribution of Taiwan masks to other countries during COVID-19.

This paper studies the critical factors from the perspectives of technological quality, personal compatibility and organisational commitment using the technological adoption framework (TAF). The proposed TAF studies the critical factors that influence the intention to use building information modelling (BIM) taking into consideration of the “Perceived Ease of Use (PEU)” and “Perceive Usefulness (PU).”

The proposed study is a quantitative research study using the TAF model and the statistical analysis using “Partial Least Squares-Structural Equation Modelling (PLS-SEM).” The questionnaires are developed based on the literature review study and disseminated to the stakeholders in the Malaysian construction industry, including consultants, contractors, and clients. The data collected are analysed using PLS-SEM to identify the correlation between the critical factors influencing BIM adoption and the moderation influence of the PEU and PU towards the “Intention to Use (IU)” BIM.

The data collected from 185 construction industry stakeholders in Malaysia was utilised to develop the structural equation model. The measurement model was analysed in terms of composite reliability, discriminant validity, and collinearity issues. Subsequently, the SEM is analysed, and the findings on the hypothesis on the correlation between the critical factors and the intention to use BIM are examined. The study also examines the mediation effects of the PEU and PU towards the BIM adoption in the Malaysian construction industry.

This research conceptual framework, TAF, is derived from the integration of the existing underpinning theories of the technological adoption model and the technology–organisation–environment framework. This new TAF can be used for the study of new technology adoption. This cross-sectional research study is in line with the “Construction 4.0 Strategic Plan” in Malaysia to establish the current BIM adoption scenario and formulate the framework to promote incentives to promote BIM adoption.

This study aims to identify the characteristics of the maritime shipping network in Northeast Asia as well as compare the level of port connectivity among these container ports in the region. In addition, this study analyses the change in role and position of 20 ports in the region by clustering these ports based on connectivity index and container throughput and route index.

This study employs Social Network Analysis (SNA) to delineate the international connectivity of major container ports in Northeast Asia. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to identify each port's connectivity index and container throughput index, and the resulting indexes are employed as the basis to cluster 20 major ports by fuzzy C-mean (FCM).

The results revealed that Northeast Asia is a highly connected maritime shipping network with the domination of Shanghai, Shenzhen, Hong Kong and Busan. Furthermore, both container throughput and connectivity in almost all container ports in the region have decreased significantly due to the coronavirus disease 2019 (COVID-19) pandemic. The rapid growth of Shenzhen and Ningbo has allowed them to join Cluster 1 with Shanghai while maintaining high connectivity, yet decreasing container throughput has pushed Busan down to Cluster 2.

The originality of this study is to combine indexes of SNA into connectivity index reflecting characteristics of the maritime shipping network in Northeast Asia and categorize 20 major ports by FCM.