Yong Qin

Bio: Yong Qin is an academic researcher from Sichuan University. The author has contributed to research in topics: Multiple-criteria decision analysis & Sustainable business. The author has an hindex of 3, co-authored 7 publications receiving 14 citations.

Green energy adoption and its determinants: A bibliometric analysis

Abstract: Green energy has received extensive attention worldwide for its outstanding contributions to fighting environmental damage. However, in recent years, there have been indications that the outlook for social acceptance of green energy adoption (GEA) is not optimistic, and potential difficulties and challenges from various aspects are possible in the future. To this end, a growing body of literature explores the determinants of GEA that will push towards greater social acceptance. Taking into account the current lack of an accessible holistic overview of the knowledge structure of GEA research and its determinants, high-level insights urgently needs to be provided. Therefore, the objective of this paper is to conduct a comprehensible bibliometric review of GEA research and the determinants of GEA. First, with the help of different bibliometric analyses, an in-depth view of GEA publications, looking at active authors, highly productive countries/regions, the most relevant journals, citation structures, and GEA's thematic evolution, is visually presented. Second, further supported by a content analysis, this work sorts out and identifies the key determinants of GEA in terms of technical matters, adopter levels, corporate promotions, and environmental challenges. Finally, the existing knowledge gaps, as well as possible future research directions, are summarized based on the above findings. The work presented in this paper will help scholars to obtain systematic knowledge and a structured understanding of GEA research and its determinants.

Foreign direct investment and economic growth: a dynamic study of measurement approaches and results

Abstract: The relationship between foreign direct investment and economic growth (FDI-EG) has been subject to extensive research. The first document related to FDI-EG research in Web of Science was published...

The impact of poverty cycles on economic research: evidence from econometric analysis

Abstract: Poverty is a global problem, and fighting it is a historical task faced by humanity. The outbreak of poverty crises has a certain cyclicality, and the development of economic research may react to ...

Ranking Tourist Attractions through Online Reviews: A Novel Method with Intuitionistic and Hesitant Fuzzy Information Based on Sentiment Analysis

Abstract: Online tourist reviews are the real feeling of tourists after the journey, which have a strong reference value for potential tourists to make travel decisions. However, it is almost impossible for a potential tourist to look through the massive online reviews related to tourist attractions (TAs) so that he/she can make the most appropriate decision. To this end, this paper proposes a recommender system to rank the alternative TAs through online reviews based on aspect-level sentiment analysis and multi-criteria decision-making (MCDM) with intuitionistic and hesitant fuzzy information. In this methodology, the aspects that the experienced tourists concern are extracted from online reviews to construct a three-level evaluation system (including target layer, criteria layer and sub-criteria layer), which not only ensures the comprehensive evaluation of TAs as much as possible, but also reduces the complexity of the decision-making process. Then, the online reviews related to these sub-criteria are transformed into the corresponding intuitionistic and hesitant fuzzy performance scores through aspect-level sentiment analysis. Furthermore, in order to obtain the final ranking result that more in line with the expectations of the potential tourist, the preference information from the potential tourist and experienced tourists is integrated to determine the weights of criteria. Subsequently, the intuitionistic and hesitant fuzzy TOPSIS (IHF-TOPSIS) method is proposed to rank the alternative TAs. Finally, a case study is provided to verify the validity and applicability of the methodology.

Green energy adoption and its determinants: A bibliometric analysis

Abstract: Green energy has received extensive attention worldwide for its outstanding contributions to fighting environmental damage. However, in recent years, there have been indications that the outlook for social acceptance of green energy adoption (GEA) is not optimistic, and potential difficulties and challenges from various aspects are possible in the future. To this end, a growing body of literature explores the determinants of GEA that will push towards greater social acceptance. Taking into account the current lack of an accessible holistic overview of the knowledge structure of GEA research and its determinants, high-level insights urgently needs to be provided. Therefore, the objective of this paper is to conduct a comprehensible bibliometric review of GEA research and the determinants of GEA. First, with the help of different bibliometric analyses, an in-depth view of GEA publications, looking at active authors, highly productive countries/regions, the most relevant journals, citation structures, and GEA's thematic evolution, is visually presented. Second, further supported by a content analysis, this work sorts out and identifies the key determinants of GEA in terms of technical matters, adopter levels, corporate promotions, and environmental challenges. Finally, the existing knowledge gaps, as well as possible future research directions, are summarized based on the above findings. The work presented in this paper will help scholars to obtain systematic knowledge and a structured understanding of GEA research and its determinants.

Green energy adoption and its determinants: A bibliometric analysis

Abstract: Green energy has received extensive attention worldwide for its outstanding contributions to fighting environmental damage. However, in recent years, there have been indications that the outlook for social acceptance of green energy adoption (GEA) is not optimistic, and potential difficulties and challenges from various aspects are possible in the future. To this end, a growing body of literature explores the determinants of GEA that will push towards greater social acceptance. Taking into account the current lack of an accessible holistic overview of the knowledge structure of GEA research and its determinants, high-level insights urgently needs to be provided. Therefore, the objective of this paper is to conduct a comprehensible bibliometric review of GEA research and the determinants of GEA. First, with the help of different bibliometric analyses, an in-depth view of GEA publications, looking at active authors, highly productive countries/regions, the most relevant journals, citation structures, and GEA's thematic evolution, is visually presented. Second, further supported by a content analysis, this work sorts out and identifies the key determinants of GEA in terms of technical matters, adopter levels, corporate promotions, and environmental challenges. Finally, the existing knowledge gaps, as well as possible future research directions, are summarized based on the above findings. The work presented in this paper will help scholars to obtain systematic knowledge and a structured understanding of GEA research and its determinants. • Presenting a holistic evaluation of green energy adoption. • Key determinants of green energy adoption are highlighted from multiple perspectives. • Thematic evolution of the green energy adoption literature is identified. • The existing knowledge gaps and future possible research agendas for green energy adoption determinants are provided.

Evolving research on expatriates: What is 'known' after four decades (1970-2012-01-01)

Abstract: The purpose of this paper was to provide a comprehensive review of the evolving research on a still key challenge for human resource management (HRM) in the globalized business of today: the expatriates and their impact on business performance. Research of four decades was reviewed to show what was known and what was not yet known. A bibliometric analysis was conducted to build a conceptual map of the evolving research. Up to 438 papers published in 104 different journals by 233 authors were analyzed. Most of the literature studies and research does not show a systematic approach, so this review may be useful for scholars and practitioners in the field of HRM and International Business Management in order to advance into the next stage of development on how to deal with and take advantage of hiring expatriates. Even after more than four decades of intensive research, the literature on expatriation is still nascent and requires higher order content. New contexts and organizations should be included in the research agenda, while an effort must be made in systematic approaches and in building higher order content in the international HRM field.

Insights into financial technology (FinTech): a bibliometric and visual study

Abstract: This paper conducted a comprehensive analysis based on bibliometrics and science mapping analysis. First, 848 publications were obtained from Web of Science. Their fundamental characteristics were analyzed, including the types, annual publications, hot research directions, and foci (by theme analysis, co-occurrence analysis, and timeline analysis of author keywords). Next, the prolific objects (at the level of countries/regions, institutions, journals, and authors) and corresponding pivotal cooperative relationship networks were used to highlight who pays attention to FinTech. Furthermore, the citation structures of authors and journals were investigated, including citation and co-citation. Additionally, this paper presents the burst detection analysis of cited authors, journals, and references. Finally, combining the analysis results with the current financial environment, the challenges and future development opportunities are discussed further. Accordingly, a comprehensive study of the FinTech documents not only reviews the current research characteristics and trajectories but also helps scholars find the appropriate research entry point and conduct in-depth research.