The growth and significance of emerging economies’ multinationals (EEMs) in the global economy have transformed the business landscape. This study constructs a conceptual…
Abstract
Purpose
The growth and significance of emerging economies’ multinationals (EEMs) in the global economy have transformed the business landscape. This study constructs a conceptual framework that displays and links the prerequisites of the formation, composition and development stages of dynamic capabilities (DCs) that lead to competitive advantages in EEMs.
Design/methodology/approach
This study follows the preferred reporting items for systematic review and meta-analysis (PRISMA) guidelines (excluding meta-analysis) to present a systematic review of 111 empirical and conceptual academic articles published in the past 24 years in the A+, A and B tier categories in scientific journal indexes.
Findings
The findings illustrate the DCs of EEMs in terms of four components: prerequisites for formation, composition, development process and outcomes. Among these, the compositions of DCs contain four types: management capabilities of available and desired resources, agile organizational capabilities, fast-learning modes and predictive capabilities. The authors also explain the developmental stages of DCs in EEMs, which is seen as a continuous process of anticipating change, consisting of high sensitivity to opportunities, advanced knowledge absorption, resource optimization and adjustment. Additional analysis also reveals the challenges in researching and measuring DCs.
Originality/value
This study provides a highly synthesized multi-dimensional framework of EEMs’ DCs, which fills the research gap and contributes to the enrichment of extant theories. The results can guide most EEMs, particularly those in the manufacturing, IT and service industries, in cultivating entrepreneurship and creating a more efficient operational team to achieve competitiveness.
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Wei Deng, Wenxin Zhou, Rui Song, Jie Li and Jing Zhang
The rise of digitalization brings new opportunities and challenges to female entrepreneurship (FE). This paper aims to systematically review the intellectual landscape of FE…
Abstract
Purpose
The rise of digitalization brings new opportunities and challenges to female entrepreneurship (FE). This paper aims to systematically review the intellectual landscape of FE research, identifying gaps and proposing future directions.
Design/methodology/approach
A systematic literature review was conducted on 1,918 highly relevant articles on FE, which were retrieved from the Scopus and Web of Science up to 2023.
Findings
While cyberfeminism is a rising perspective, the impact of digitalization on FE remains underexplored. Antecedents of FE are predominantly examined at the individual, family, organizational and environmental levels, overlooking team-level factors. Studies predominantly focus on outcomes at a single level and within a country, neglecting FE’s cross-level and cross-national complexity and diversity. The static analysis of mediating mechanisms in existing research fails to capture the dynamic process of FE. Furthermore, contextualization research often isolates family, institutional, social and mixed embeddedness, neglecting the simultaneous multiple contexts in which female entrepreneurs operate.
Originality/value
To bridge gaps in existing literature, this paper introduces an integrated research framework for FE. It suggests future research directions encompassing the impact of digital intelligence, heterogeneity of different groups of female entrepreneurs, the multiple contextual embedded nature of FE, dynamic process mechanisms for FE and cross-cultural comparisons. The proposed framework aims to inspire new insights and contribute to the evolving field of FE research.
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Bing Xue, Rui Yao, Zengyu Ye, Cheuk Ting Chan, Dickson K.W. Chiu and Zeyu Zhong
With the rapid development of social media, many organizations have begun to attach importance to social media platforms. This research studies the management and the use of…
Abstract
Purpose
With the rapid development of social media, many organizations have begun to attach importance to social media platforms. This research studies the management and the use of social media in academic music libraries, taking the Center for Chinese Music Studies of the Chinese University of Hong Kong (CCMS) as a case study.
Design/methodology/approach
We conducted a sentiment analysis of posts on Facebook’s public page to analyze the reaction to the posts with some exploratory analysis, including the communication trend and relevant factors that affect user interaction.
Findings
Our results show that the Facebook channel for the library has a good publicity effect and active interaction, but the number of posts and interactions has a downward trend. Therefore, the library needs to pay more attention to the management of the Facebook channel and take adequate measures to improve the quality of posts to increase interaction.
Originality/value
Few studies have analyzed existing data directly collected from social media by programming based on sentiment analysis and natural language processing technology to explore potential methods to promote music libraries, especially in East Asia, and about traditional music.
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Rui Gao and Xiaojun Du
How to support the rapid internationalization of multinational enterprises (MNEs) is a hot topic in academia and industry. The main purpose of this work is to study the role of…
Abstract
Purpose
How to support the rapid internationalization of multinational enterprises (MNEs) is a hot topic in academia and industry. The main purpose of this work is to study the role of relational assets (R-assets) in promoting the speed of internationalization of MNEs, and to explore the moderating effect of environmental uncertainty (institutional environment and industry environment) on the relationship between R-assets and internationalization speed of MNEs.
Design/methodology/approach
This study uses the outward foreign investment data of China’s A-share listed enterprises from 2009 to 2021, and employs the Cox proportional hazards model to empirically test the research hypothesis.
Findings
The empirical results revealed that R-assets can promote enterprise internationalization speed. In addition, the study also finds that the institutional uncertainty of host countries weakens the promotion effect of R-assets on internationalization speed of MNEs, while the industry uncertainty strengthens the promotion effect of those. Heterogeneity analysis illustrates that, compared with state-owned enterprises, non-state-owned enterprises have a more significant effect on the above conclusions.
Originality/value
This study enriches the literature on internationalization speed of MNEs by focusing on the determinants of internationalization speed through R-assets. From the perspective of knowledge, the work also provides a theoretical reference whereby MNEs can use host country R-assets to accelerate knowledge acquisition and then internationalization practice. In conclusion, this study provides valuable insights for managers aiming to develop effective strategies through R-assets to achieve rapid internationalization, contributing to an emerging literature stream on catch-up for emerging-market MNEs.
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Yang Gou, Rui Li and Zhibo Zhuang
This paper aims to objectively present the research dynamics of China in the field of information behavior and its development trends. Firstly, it incorporates China’s research in…
Abstract
Purpose
This paper aims to objectively present the research dynamics of China in the field of information behavior and its development trends. Firstly, it incorporates China’s research in the field of information behavior into the global research network of information behavior, analyzing the changes in the status of Chinese scholars and their research institutions in the global research network from 1991 to 2022, the trends in publication volume and the cooperation relationships with other countries. Then, it conducts a detailed analysis of China’s research categories, groups, theoretical models and hot topics in different information contexts in the past five years (2018–2022).
Design/methodology/approach
The study retrieved research literature related to information behavior in China from 1991 to 2022 in the Web of Science database. It then utilized a national/institutional cooperation network map to analyze the changes in the status of Chinese scholars/institutions in the global research network during this period, publication volume trends and cooperation relationships with other countries. Furthermore, it employed keyword co-occurrence network maps to analyze the key categories, groups, theories and models of China’s research in different information contexts in the past five years. Based on this, it used keyword clustering network maps to analyze the hot topics of China’s research in different information contexts in the past five years.
Findings
(1) China’s research in the field of information behavior started relatively late, but the volume of publications has grown rapidly since 2004, currently ranking second globally in cumulative publication quantity. However, the influence of the literature published by China is limited, and there is a lack of research institutions with global influence. (2) In the last five years, China has conducted extensive research in various information contexts. Among these, most research was conducted in work contexts, followed by healthcare contexts, especially studies related to epidemics. (3) Current research on information behavior in China is characterized by expanded and refined research groups, diversified research categories, continuous expansion and enrichment of research contexts, increased interdisciplinary nature of research and continuous innovation in research methods and theoretical models.
Originality/value
This study, utilizing a scientific knowledge map, elucidates China’s position in global information behavior research, with a specific emphasis on analyzing China’s research hot topics and trends in this field over the past five years. It aims to provide valuable resources for scholars interested in understanding the status of information behavior research in China and to offer some guidance for scholars currently or intending to engage in information behavior research.
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Zhen Peng, Qihan Sun, Pei Li, Fengjiao Sun, Shaoyang Ren and Rui Guan
This study aims to assess carbon emissions in urban aged residential buildings in Qingdao, Shandong Province, constructed prior to 2000, and to evaluate retrofitting and…
Abstract
Purpose
This study aims to assess carbon emissions in urban aged residential buildings in Qingdao, Shandong Province, constructed prior to 2000, and to evaluate retrofitting and rebuilding strategies for potential carbon reduction.
Design/methodology/approach
Field investigations and literature reviews were conducted to identify key factors influencing carbon emissions, such as shape coefficient, window-to-wall ratio and envelope structure. A combination of generalization and mathematical statistical methods was used to classify buildings based on construction year, form, structural type and energy-saving goals. Cluster analysis was employed to extract six typical building models.
Findings
Results demonstrate that building form complexity positively correlates with carbon emissions per unit area, while longer lifespans reduce emission intensity. Retrofitting exhibits shorter carbon payback periods (1.62–3.92 years) than rebuilding (18.7–49.94 years), indicating superior environmental performance. Pre-1986 buildings are advised for demolition/rebuilding due to limited retrofit benefits. For 1986–1995 buildings, retrofitting is recommended if structurally viable. Post-1996 buildings favor retrofitting over new construction for its shorter payback and lower emissions, enhancing long-term carbon reduction.
Originality/value
This study contributes to the understanding of carbon emissions in urban aged residential buildings by considering various factors and providing specific recommendations for retrofitting and rebuilding strategies tailored to different construction periods. Additionally, it highlights the importance of building form complexity and remaining lifespan in determining carbon emissions, offering insights for sustainable urban development and carbon reduction initiatives.
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Xiaona Pang, Wenguang Yang, Wenjing Miao, Hanyu Zhou and Rui Min
Through the scientific and reasonable evaluation of the site selection of the emergency material reserve, the optimal site selection scheme is found, which provides reference for…
Abstract
Purpose
Through the scientific and reasonable evaluation of the site selection of the emergency material reserve, the optimal site selection scheme is found, which provides reference for the future emergency decision-making research.
Design/methodology/approach
In this paper, we have chosen three primary indicators and twelve secondary indicators to construct an assessment framework for the determination of suitable locations for storing emergency material reserves. By mean of the improved entropy weight-order relationship weight determination method, the evaluation model of kullback leibler-technique for order preference by similarity to an ideal solution (KL-TOPSIS) emergency material reserve location based on relative entropy is established. On this basis, 10 regional storage sites in Beijing are selected for evaluation.
Findings
The results show that the evaluation model of the location of emergency material reserve not only respects the objective knowledge, but also considers the subjective information of the experts, which makes the ranking result of the location of the emergency material reserve more accurate and reliable.
Originality/value
Firstly, the modification factor is added to the calculation formula of traditional entropy weight method to complete the improvement of entropy weight method. Secondly, the order relation analysis method is used to assign subjective weights to the indicators. The principle of minimum information entropy is introduced to determine the comprehensive weight of the index. Finally, KL distance and TOPSIS method are combined to determine the relative entropy and proximity degree of alternative solutions and positive and negative ideal solutions, and the scientific and effective of the method is proved by case study.
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Kaiyi Li, Hafez Salleh and Rui Wang
The exponential growth of the construction sector exerts considerable pressure on the environment, and the circular economy (CE) concept has recently gained traction as a means of…
Abstract
Purpose
The exponential growth of the construction sector exerts considerable pressure on the environment, and the circular economy (CE) concept has recently gained traction as a means of alleviating such environmental issues. In order to propose solutions to the phenomenon of contractors being hesitant to participate in CE implementation in developing countries, this paper aims to comprehensively explore the enabling factors that motivate contractors to implement CE.
Design/methodology/approach
This study is based on the push-pull-mooring (PPM) theory and extends it by introducing information provision (IP) as a trigger on contractors’ intrinsic subjective initiative states on CE implementation. The study considers what and how positive pull, negative push and neutral mooring factors influence the contractors’ CE transition. The framework was validated by questionnaires collected from contractors in China, and the data were analyzed using the structural equation modeling method.
Findings
The findings indicate that all factors from the PPM framework exert a positive influence on CE intention, with push factors demonstrating a greater average impact. Furthermore, this study confirms the influence of the IP on contractors’ CE intentions by influencing their intrinsic status. The impact of the IP is most pronounced in terms of contractors’ perceived usefulness and environmental concerns.
Originality/value
This study contributes to the existing body of knowledge in the CE transition studies by extending the PPM theory into the construction industry through the lenses of contractors in developing countries. The results highlight the trigger impacts of the IP on contractors’ psychological status regarding CE transition. Furthermore, it offers insights into government management in the CE transition by providing the government with novel approaches to facilitate the CE transition in the construction sector.
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Zhenshun Li, Jiaqi Li, Ben An and Rui Li
This paper aims to find the best method to predict the friction coefficient of textured 45# steel by comparing different machine learning algorithms and analytical calculations.
Abstract
Purpose
This paper aims to find the best method to predict the friction coefficient of textured 45# steel by comparing different machine learning algorithms and analytical calculations.
Design/methodology/approach
Five machine learning algorithms, including K-nearest neighbor, random forest, support vector machine (SVM), gradient boosting decision tree (GBDT) and artificial neural network (ANN), are applied to predict friction coefficient of textured 45# steel surface under oil lubrication. The superiority of machine learning is verified by comparing it with analytical calculations and experimental results.
Findings
The results show that machine learning methods can accurately predict friction coefficient between interfaces compared to analytical calculations, in which SVM, GBDT and ANN methods show close prediction performance. When texture and working parameters both change, sliding speed plays the most important role, indicating that working parameters have more significant influence on friction coefficient than texture parameters.
Originality/value
This study can reduce the experimental cost and time of textured 45# steel, and provide a reference for the widespread application of machine learning in the friction field in the future.
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Qiuhao Xie, Shuibo Zhang, Ying Gao, Jingyan Qi and Zhuo Feng
Although the literature recognizes that coopetition plays a significant role in the success of international construction joint ventures (ICJVs), the impacts of coopetition on the…
Abstract
Purpose
Although the literature recognizes that coopetition plays a significant role in the success of international construction joint ventures (ICJVs), the impacts of coopetition on the performance outcomes of ICJVs remain largely unknown. This study extends this line of research by theorizing coopetition from three dimensions, i.e. coopetition intensity, coopetition balance and coopetition structure, and examining the relationships between coopetition and ICJV performance outcomes from both the contingency and configuration perspectives.
Design/methodology/approach
The hypotheses were tested using survey data from a sample of 188 ICJVs. Structural equation modelling was employed for the contingency approach to estimate the relationships between the three dimensions of coopetition and performance. For the configuration approach, cluster analysis was utilized to identify coopetition patterns. Subsequently, an analysis of variance was employed to analyse the relationships between these coopetition patterns and performance.
Findings
The contingency results indicate that while coopetition intensity is positively related to all types of performance, coopetition balance is only positively related to project performance and partner performance. Moreover, coopetition structure is only related to partner performance and socioenvironmental performance. The configuration approach identifies six patterns of coopetition, manifesting different levels of project, partner and socioenvironmental performance.
Originality/value
These findings, therefore, contribute to the ICJV literature by extending the understanding of how coopetition dimensions individually and jointly influence ICJV performance.