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The purpose of this work is to construct a grey entropy comprehensive evaluation model to measure the regional green innovation vitality (GIV) of 31 provinces in China.

The traditional grey relational proximity and grey relational similarity degree are integrated into the novel comprehensive grey evaluation framework. The evaluation system of regional green innovation vitality is constructed from three dimensions: economic development vitality, innovative transformation power and environmental protection efficacy. The weights of each indicator are obtained by the entropy weight method. The GIV of 31 provinces in China is measured based on provincial panel data from 2016 to 2020. The ward clustering and K-nearest-neighbor (KNN) algorithms are utilized to explore the regional green innovation discrepancies and promotion paths.

The novel grey evaluation method exhibits stronger ability to capture intrinsic patterns compared with two separate traditional grey relational models. Green innovation vitality shows obvious regional discrepancies. The Matthew effect of China's regional GIV is obvious, showing a basic trend of strong in the eastern but weak in the western areas. The comprehensive innovation vitality of economically developed provinces exhibits steady increasing trend year by year, while the innovation vitality of less developed regions shows an overall steady state of no fluctuation.

The grey entropy comprehensive relational model in this study is applied for the measurement and evaluation of regional GIV, which improves the one-sidedness of traditional grey relational analysis on the proximity or similarity among sequences. In addition, a three-dimensional evaluation system of regional GIV is constructed, which provides the practical guidance for the research of regional development strategic planning as well as promotion paths.

A comprehensive grey entropy relational model based on traditional grey incidence analysis (GIA) in terms of proximity and similarity is proposed. The three-dimensional evaluation system of China's regional GIV is constructed, which provides a new research perspective for regional innovation evaluation and expands the application scope of grey system theory.

The objective of this study is to advance the understanding of the connection between cultural distance and the cross-border diffusion of innovations by conducting a systematic review and analysis of previous literature.

This study involved a literature review. A total of 35 articles published in ABS journals were identified from key management, international business and marketing journals. The articles were analyzed by the methodologies and findings presented.

The literature review shows that the adoption and diffusion of innovation and new products are bound to be deeply influenced by cultural distance. Specifically, national cultures influence the willingness of consumers to buy new products at both the individual and organizational levels; organizational culture plays a key role in the process of launching new products and diffusing innovations to the market. However, existing studies and their findings are fragmented and inconsistent. Controversial views remain regarding the impact of national cultural dimensions on the diffusion of innovation at the individual and organizational levels.

This is the first systematic review of the literature specifically focusing on the impact of cultural distance on the cross-border diffusion of innovation. In identifying the research gaps and limitations of extant studies, the authors point to avenues for future research to develop a more integrated research agenda for marketing, management and international business research.

El objetivo de este estudio es avanzar en la compresión de la conexión que existe entre la distancia cultual y la difusión transfronteriza de innovaciones, mediante la realización de una revisión sistemática y un análisis de la literatura previa.

Este estudio incluyó una revisión de la literatura. Y se identificaron un total de 35 artículos en las revistas, relacionados con clave de gestión, negocios internacionales y marketing, publicados en revistas de ABS. Los artículos fueron analizados por las metodologías y hallazgos presentados.

La revisión de la literatura muestra que la adopción y la difusión de la innovación y los nuevos productos, están fuertemente influenciados por la distancia cultural. Específicamente, las culturas nacionales influyen en la disposición de los consumidores a comprar nuevos productos, tanto a nivel individual como a nivel organizacional; la cultura organizacional desempeña un papel clave en el proceso de lanzamiento de nuevos productos y difusión de innovaciones en el mercado. Sin embargo, los estudios existentes y sus hallazgos son fragmentados e inconsistentes. Sigue dándose opiniones controvertidas sobre el impacto de las dimensiones culturales nacionales en la difusión de la innovación a nivel individual y organizacional.

Esta es la primera revisión sistemática de la literatura, que se centra específicamente en el impacto de la distancia cultural en la difusión transfronteriza de la innovación. Al identificar las brechas de la investigación y las limitaciones de los estudios existentes, señalamos vías para futuras investigaciones, con el fin de desarrollar una agenda de investigación más integrada para el estudio de marketing, administración y negocios internacionales.

Effective and robust motion estimation with sub-pixel accuracy is essential in many image processing and computer vision applications. Due to its computational efficiency and robustness in the presence of intensity changes as well as geometric distortions, phase correlation in the Fourier domain provides an attractive solution for global motion estimation and image registration. The paper aims to discuss these issues.

In this paper, relevant sub-pixel strategies are categorized into three classes, namely, single-side peak interpolation, dual-side peak interpolation and curve fitting. The well-known images “Barbara” and “Pentagon” were used to evaluate the performance of eight typical methods, in which Gaussian noise was attached in the synthetic data.

For eight such typical methods, the tests using synthetic data have suggested that considering dual-side peaks in interpolation or fitting helps to produce better results. In addition, dual-side interpolation outperforms curve fitting methods in dealing with noisy samples. Overall, Gaussian-based dual-side interpolation seems the best in the experiments.

Based on the comparisons of eight typical methods, the authors can have a better understanding of the phase correlation for motion estimation. The evaluation can provide useful guidance in this context.

In the process of Renminbi (RMB) internationalization, the heterogeneity and complexity in knowledge under the multicultural contexts have been considered as important factors that can have profound impacts on the cross-border flow of the RMB currency. Moreover, COVID-19, an exogenous shock, also triggers more in-depth reflection on the relationship between cross-border knowledge management and the financial risk governance. In addition, the needs to effectively respond to global risks and crises prompt the necessity in systematically establishing an effective cross-border knowledge management mechanism and innovatively solidifying the knowledge bases needed for the further internationalization of the RMB.

Based on the analysis on the current status of the RMB internationalization, this paper qualitatively explores some major challenges and difficulties encountered in the process of RMB internationalization from the perspectives of knowledge management and cross-cultural theories. To effectively mitigate these challenges and difficulties, discussions and recommendations centered on three main aspects: cross-cultural management; cognition; and innovation for the further development of the RMB internationalization are also presented in this paper.

Based on the analysis on the cross-border knowledge management and cross-cultural perspectives, this paper identifies three major challenges and difficulties that the RMB internationalization is encountering, including: cultural heterogeneity and its adverse impacts on the communication amongst economic entities; the existence of knowledge iceberg; and the difficulty it presents to cognition and financial innovation. Meanwhile, the authors also present recommendations on the development of the cross-border knowledge management mechanism for furthering the progress of internationalizing the RMB currency.

From the perspective of cross-border knowledge management, this study not only elaborates on the recommendations aimed at further promoting the RMB internationalization but also provides reference and guidance for the state, central banks and commercial banks to play better roles in furthering the RMB internationalization.

This paper creatively integrates the micro knowledge management into the macro process of RMB internationalization, thoroughly discusses two main challenges and difficulties encountered in the process of RMB internationalization from the unique perspective of cross-border knowledge management under the multicultural contexts and provides relevant recommendations for RMB’s further internationalization. This study also enriches the exploration of knowledge management outcome variables and further expands the research field of knowledge management.

Trust has emerged as a crucial research topic in the sharing economy. However, scholarship on trust in sharing accommodation remains limited. By using stakeholder theory, this study aims to provide a systematic framework for integrating trust among multiple stakeholders and identify potential knowledge gaps and future research directions for trust in sharing accommodation.

The authors select papers using a combination of multiple keywords from EBSCOhost and Web of Science. The analysis includes 172 journal papers published between 2011 and 2021. The authors conduct a systematic review through thematic content analysis, and each paper is analyzed using manual coding.

The analysis shows that key stakeholders for trust building in sharing accommodation include consumers, hosts, platforms, residents and governments, with most studies focusing on the consumer perspective. The study integrates various trust antecedents and outcomes from the above multistakeholder. Second, this study summarizes the most commonly used theories, and more diversified theories could be applied to future research. Third, this study finds that most studies use quantitative methods, and researchers should introduce more integrated methodologies such as machine learning on a large scale. Furthermore, the current research disciplinary paradigm should be extended to multidisciplinary and interdisciplinary approaches to promote innovation in trust research. Finally, the COVID-19 pandemic has brought both challenges and opportunities to industry as well as researchers, and more institutional rather than commercial perspectives need to be addressed.

The study contributes to the trust and the sharing economy literature by providing a systematic framework for integrating trust from multistakeholder perspectives. The study also points out several future research directions by combining micro and macro multistakeholder perspectives, identifying more diversified theories and methodologies and specifying multidisciplinary and interdisciplinary approaches.

The study advances knowledge by providing a systematic framework for integrating trust among multiple stakeholders and proposing future research directions for trust in sharing accommodation.

The application of the traditional failure mode and effects analysis (FMEA) technique has been widely questioned in evaluation information, risk factor weights and robustness of results. This paper develops a novel FMEA framework with extended MULTIMOORA method under interval-valued Pythagorean fuzzy environment to solve these problems.

This paper introduces innovatively interval-value Pythagorean fuzzy weighted averaging (IVPFWA) operator, Tchebycheff metric distance and interval-value Pythagorean fuzzy weighted geometric (IVPFWG) operator into the MULTIMOORA submethods to obtain the risk ranking order for emergencies. Finally, an illustrative case is provided to demonstrate the practicality and feasibility of the novel fuzzy FMEA framework.

The feasibility and validity of the proposed method are verified by comparing with the existing methods. The calculation results indicate that the proposed method is more consistent with the actual situation of project and has more reference value.

The research results can provide supporting information for risk management decisions and offer decision-making basis for formulation of the follow-up emergency control and disposal scheme, which has certain guiding significance for the practical popularization and application of risk management strategies in the infrastructure projects.

A novel approach using FMEA with extended MULTIMOORA method is developed under IVPF environment, which considers weights of risk factors and experts. The method proposed has significantly improved the integrity of information in expert evaluation and the robustness of results.

Virtual clothing presentation has a visual 3D effort and allows consumers to interact. Currently, most scholars make virtual clothing presentations as a whole or focus on one element to study its impact on consumers’ purchase intentions. This study disassembles the components of virtual clothing presentation in Taobao and explores how each component (virtual clothing, virtual model, presentation space, presentation technology and system quality) affects consumers’ purchase intention, which can provide clothing companies recommendations for developing it and help improve consumers’ online shopping experience.

This study created the parts of a virtual clothing presentation and took advantage of Taobao’s 3D interactive module to simulate a shopping scenario. Participants experienced a 3D interactive virtual clothing presentation in which they could change clothing colors, show actual clothing sizes, try different model poses, switch presentation backgrounds and unfold clothing structure through interactive buttons. Then they were randomly assigned to view two kinds of images and videos of experiment clothing (real images and videos vs virtual ones), respectively. Hypotheses were tested using SEM and applying SmartPLS 4.

The results demonstrated that five components of virtual clothing presentation have different degrees of influence on consumers’ purchase intention through different consumer perceptions (perceived usefulness, ease of use and enjoyment). It is necessary to consider the design of the virtual clothing presentation in those five dimensions for different needs. In addition, it is feasible to replace images and animated videos of real clothing with virtual ones in Taobao.

Different types of virtual clothing presentations can lead to various results in terms of diverse impacts. This study disassembles and researches each component of a virtual clothing presentation. Overall, this study could provide guidance and suggestions for clothing companies to develop and design or invest in virtual clothing presentations.

Building on the three-factor theory, this study aims to unravel how the role of hotel attributes such as basic, excitement and performance factors could differ in accordance with different hotel star ratings and distinct customer segments.

This study explores the asymmetric effects of hotel attributes on customer satisfaction by extracting 412,784 consumer-generated reviews from TripAdvisor across different cities in China.

By taking into account the origins of customers and hotel star ratings, the study uncovers that guests’ expectations of hotel performance differ with respect to their origins (domestic and international guests) and the star ratings of the hotels being reviewed, thereby moderating the asymmetric impact of hotel attributes on customer satisfaction.

The study compares and contrasts the determinants of customer satisfaction for domestic and international guests in the context of Chinese hotels. Care should still be exercised when generalizing the insights gleaned from this study to other contexts.

The findings from this study translate into actionable guidelines for hotel operators to make informed decisions regarding service improvement.

The study extends previous work by offering a deeper understanding of the asymmetric impact of hotel attributes on customer satisfaction. Specifically, this study provides a deep understanding of the different hotel attributes such as basic, performance and excitement factors in explaining customer satisfaction among different hotel customer segments. Findings from this study can not only inform hotel operators on the significance of various hotel attributes in determining customer satisfaction but also guide the formulation of business strategies to retain customers by inducing delight and not frustration.

The purpose of this research is to investigate general managers' (GM) demographic characteristics and career paths in China's indigenous economy and budget hotels.

A questionnaire was chosen as the most appropriate means of obtaining information from 104 general managers in Guangdong Province, China.

The data from this study indicate that the majority of general managers are between ages of 31‐51, predominantly males with three‐year vocational college educations, and trained in either a hospitality/business‐related major or totally non‐business‐related major. The career paths of younger general managers show more similarities with their counterparts on the international market. However, some unique differences are identified. General managers in China have more years of non‐hotel experiences and pursue more diversified experiences. Experience in marketing and sales and human resources are considered particularly important in qualifying them for the GM position.

Non‐random sampling was used, and it only focused on GMs in one region of China.

The study shed some light on the demographic characteristics of GMs and the change of career paths over the past 20 years in China. The knowledge obtained from this study will help foreign hotels operating in China effectively select the right leaders and partners. Most importantly, the results will offer useful information to the Chinese hospitality industry as it expands its role in China.

While an updated career development research of hotel GMs is needed, the findings have an incremental contribution to the body of knowledge on career development and a better understanding of hotel GMs in China.

This study aims to probe the applicability of 2-mercaptobenzothiazole (MBT) functionalized ionic liquids (ILs) as additives in lithium complex grease (LCG) by researching the corrosion inhibiting, rheological and tribological performances.

Electrochemical tests such as electrochemical impedance spectroscopy and potentiodynamic polarization curves were used on Gamry electrochemical workstation to research the corrosion inhibition properties of ILs in 1.0 M HCl corrosive solution. The rheological properties of different grease samples were tested on a rheometer. The tribological properties were investigated on SRV-V oscillating reciprocating friction and wear tester. Scanning electron microscope, X-ray spectrometer and X-ray photoelectron spectrometer were used to characterize the lubricating mechanism.

The 2-MBT functionalized ILs have excellent corrosion inhibition properties. When used as additives in LCG, they both exhibited enhancing effects on thermostability, colloid stability and structural recoverability, and furthermore, outstanding friction-reducing and antiwear properties were also obtained. Surface analysis indicated that the superior lubricating performances of 2-MBT functionalized ILs were mainly ascribed to the formation of tribochemical products on wear tracks, including organic compounds with C–O bond, Fe₂O₃ and FeS₂.

The 2-MBT-based ILs synthesized in this study were multifunctional additives with excellent corrosion inhibiting and tribological properties, which would have a very broad application prospect in lubricating grease industry.