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The emerging natures of big data – volume, velocity, variety, value and veracity – exert higher stress on employees and demand greater creativity from them, causing extreme difficulties in the talent management of organizations in the big data era. The purpose of this paper is to explore the effect of challenge stressors on creativity and the boundary conditions of the relationship.

Multisource data were collected including 593 followers and their 98 supervisors from organizations that are confronting a big data induced management revolution. Hierarchical regression analysis and bootstrapping analysis were used to test the mediation and moderation mechanism.

The results showed that job burnout mediated the negative relationship between challenge stressors and creativity and that this indirect effect was attenuated by an employee’s core self-evaluation (CSE) and servant leadership. In contrast, whether work engagement mediated the relationship between challenge stressors and creativity was contingent on the level of an employee’s CSE and servant leadership. Specifically, the mediating effect was significant only when an employee’s CSE or servant leadership was high.

The results contribute to our understanding of the relationship between challenge stressor and creativity in the big data era. Specifically, relying on the job demands–resources model, this study empirically opens the “black box” between challenge stressors and creativity by exploring two opposing intermediate mechanisms. In addition, this study reveals boundary conditions by investigating dispositional and contextual factors that can accentuate the positive effect while attenuating the negative effect of challenge stressors on employee creativity.

Informal associations are typical features of farm and non-farm ventures especially within rural communities. Owing to the informality of these associations, members of the groups usually evolve strategies to cope with different kinds of economic and social shocks such as the COVID-19 pandemic or unexpected economic recessions. Accordingly, entrepreneurship and non-farm business development in rural areas require massive finance input, which this group largely lacks owing to agrarian activities which is the main source of revenue. Therefore, to inform rural development policies, this chapter draws on the interrelationships that exist between finance options (including formal, informal and social networks) and small business development. Using the World Bank Living Standards Measurement Survey – Integrated Surveys on Agriculture (LSMS-ISA), the analytics identifies informal financing and social networks as leading alternatives to formal financing option in rural businesses. Therefore, we suggest that the government institutions recognise and formalise informal finance systems. This will not only aid access to government interventions and programmes, but foster collaborations with existing formal institutions and investors for sustainable rural business financing.

This paper aims to estimate the international competitiveness of China’s biomass energy products during 2007-2016 in the context of the Belt and Road Initiative.

In this paper, the authors used the constant market share model and the revealed comparative advantage index to analyze the evolution trend of China’s biomass products’ international competitiveness during the past decade from 2007 to 2016 based on the market structure of the Belt and Road Initiative.

The results show that: China’s major biomass energy products have no comparative advantages in the world market, nevertheless, their international competitiveness is on the rise; China’s biomass energy products have been agglomerated to the regional markets where the market demand growth is fast in the Belt and Road countries; and the unreasonable structure is an important factor influencing the international competitiveness of China’s biomass exports.

The authors analyzed the international competitiveness of China’s biomass energy products based on the “Belt and Road Initiative” with all the trading items, in an effort to propose policy implications for enhancing the comparative advantages of China’s biomass products in the international market especially in the Belt and Road regions.

World legends and the scientific community have taken the devastating impact of poverty issue seriously which has been reflected in the growing trend of research in this area. Hence, this paper aims to conduct a bibliometric analysis on poverty alleviation literature, discuss the various dimensions of poverty alleviation and deliver some ideas for future research.

This study deploys a combined quali-quantitative method familiar as meta-literature review on 454 articles collected from the Web of Science (WoS) database with Social Science Citation Index (SSCI) coverage over the period 1971–2020. Using Rstudio, VOSviewer and Excel, the collected data have been analysed from different lenses.

This study considers the most contributing scientific actors like authors, journals, topics, institutions and countries as parameters for analysing articles. Based on the analysis from various perspectives, it determines five main research streams upon which it provides some potential research directions to be considered in future research.

This study solely relies on the articles available in the WoS database with index in SSCI. However, it excludes analysing thousands of articles on the same topic available in other platforms.

This study provides a retrospective on the scientific works and collective efforts of scholars germane to poverty alleviation from the highest ranked journals, which would help better understand the literature development and the intellectual structure of this field.

The purpose of the study is to address concerns regarding the subjectivity and imprecision of decision-making in table tennis refereeing by developing and enhancing a sensor node system. This system is designed to accurately detect the points on the table tennis table where balls collide. The study introduces the twined-reinforcement chimp optimization (TRCO) framework, which combines two novel approaches to optimize the distribution of sensor nodes. The main goal is to reduce the number of sensor units required while maintaining high accuracy in determining the locations of ball collisions, with error margins significantly below the critical 3.5 mm cutoff. Through complex optimization procedures, the study aims to improve the efficiency and reliability of decision-making in table tennis refereeing by leveraging sensor technology.

The study employs a design methodology focused on developing a sensor array system to enhance decision-making in table tennis refereeing. It introduces the twined-reinforcement chimp optimization (TRCO) framework, combining dual adaptive weighting strategies and a stochastic approach for optimization. By meticulously engineering the sensor array and utilizing complex optimization procedures, the study aims to improve the accuracy of detecting ball collisions on the table tennis table. The methodology aims to reduce the number of sensor units required while maintaining high precision, ultimately enhancing the reliability of decision-making in the sport.

The optimization research study yielded promising outcomes, showcasing a substantial reduction in the number of sensor units required from the initial count of 60 to a more practical 49. The sensor array system demonstrated excellent accuracy in identifying the locations of ball collisions, with error margins significantly below the critical 3.5 mm cutoff. Through the implementation of the twined-reinforcement chimp optimization (TRCO) framework, which integrates dual adaptive weighting strategies and a stochastic approach, the study achieved its goal of enhancing the efficiency and reliability of decision-making in table tennis refereeing.

This study introduces novel contributions to the field of table tennis refereeing by pioneering the development and optimization of a sensor array system. The innovative twined-reinforcement chimp optimization (TRCO) framework, integrating dual adaptive weighting strategies and a stochastic approach, sets a new standard for sensor node distribution in sports technology. By substantially reducing the number of sensor units required while maintaining high accuracy in detecting ball collisions, this research offers practical solutions to address the inherent subjectivity and imprecision in decision-making processes. The study’s originality lies in its meticulous design methodology and complex optimization procedures, offering significant value to the field of sports technology and officiating.

This paper investigates the impact of institutional factors on financial deepening and its implications on bank credit in Africa.

The paper employs different panel econometric models to examine the heterogeneity of 50 African countries from 2000 to 2019. The estimators include panel corrected standard errors, system generalized method of moments, quantile and threshold regressions.

The results show that rule of law, regulatory quality, government effectiveness, voice and accountability, control of corruption and political stability significantly influence financial deepening in Africa. However, government effectiveness has a higher effect on middle- and high-income countries, while other indicators have a high impact on low-income countries. All institutional indicators have stronger effects, almost double, at higher financial depth levels than for countries with lower levels. Government effectiveness and regulatory quality impact financial deepening more for countries with strong institutions than weak ones. Thus, the relationship between institutional qualities and credit provided by banks is non-monotonic.

The findings suggest that strengthening appropriate institutional factors based on country heterogeneity may effectively stimulate debt financing in Africa, the primary source of financing for small and medium-sized enterprises and entrepreneurs.

The novelty of this paper is that previous studies did not sufficiently scrutinize the heterogeneity of the structure of African economies – i.e. differences in institution, credit and income levels.

The literature on knowledge management in sustainable supply chain (KMSSC) has witnessed significant growth in the past two decades. However, a scientometric review that consolidates the primary trends and clusters within this topic has been notably absent. This paper aims to scrutinize recent advancements and identify the intellectual underpinnings of KMSSC research conducted between 2002 and 2022.

The present review employs a scientometric analysis approach via visualization maps of prolific contributions, co-citation, co-occurrence and thematic networks to examine a total of 114 articles and conference papers on KMSSC.

Emerging research frontiers and hotspots are revealed and a state-of-the-art framework of KMSSC research structure is developed.

The review provides significant implications that guide KMSSC research and better inform sustainability decisions in the supply chain context.

To the best of the authors' knowledge, this is the first review to thoroughly synthesize the intersected domain of KMSSC using scientometric analysis.

The present research attempts to show the contribution of emotional intelligence and servant leadership climate to individual adaptive performance. The authors intend to explain the relations between the emotional intelligence of employees as well as of manager and the employee's adaptive performance. Moreover, this research assesses the significance of the mediating role of “servant leadership” climate in the relationship between the emotional intelligence of the manager and the employee's adaptive performance.

This research uses the quantitative research method and is included in explanatory research. Data collection used several informants for each organization. Data were collected using a sample of 57 managers and 204 team members spread over 24 companies belonging to different sectors of activity.

Employees' emotional intelligence directly influences individual adaptive performance. There is a direct influence of manager's emotional intelligence on individual adaptive performance. Then, there is an indirect influence of emotional intelligence on individual adaptive performance through the mediation of servant leadership climate.

The novelty of this research is in its effort to observe the multilevel mediation of servant leadership climate with other variables developed in the research model. No previous studies have found a relationship between employee and manager's emotional intelligence and individual adaptive performance.

This paper aims to analyse the bibliometric characteristics of the ISO 50001 publication, map the state of the art of the research topic and identify future research issues.

This research is a bibliometric study. The data were collected from Scopus. Both performance and science mapping analysis were performed.

The research results showed the top author, paper and country of ISO 50001 publications. There are four author collaboration clusters and five country collaboration clusters. Eight research themes were mapped into four quadrants based on the density and centrality. The bibliometric coupling analysis showed six research clusters. Finally, the research issues were mapped. The implications were discussed.

This research gave several implications for researchers, practitioners and public policymakers. For researchers, the bibliometric analysis provides several research issues that can be followed up by future research. For practitioners, the bibliometric analysis showed that applied tools and methods that can assist the implementation of ISO 50001-based energy management have been developed. For public policymakers, the bibliometric analysis offered the knowledge structure on ISO 50001 that can be used in public policymaking development. The author collaboration cluster and the bibliometric coupling cluster can be used to trace the scientific information that is needed as the foundation of public policy.

Many ISO 50001 studies have been performed. However, based on the search in several main academic scientific paper databases, there is no bibliometric study on the research topic. This is the first bibliometric study on ISO 50001 publication. This study takes a holistic approach combining performance analysis and science mapping analysis that includes elaborated thematic mapping and evolution analysis.

The purpose of this study is to analyze the existing literature on the application of the Internet of Things (IoT) and to give an overview of how libraries are adopting this emerging technology to make users feel more engaging with the library resources and service provision.

The basic architecture of IoT with its functionality has been enumerated and its different layers have been depicted.

A conceptual library IoT model, working on Message Queuing Telemetry Transport protocol, based on the fog-cloud computing layer of architecture has been proposed. This study also highlights the sensor-based current library services.

This study focuses on the existing practices of adoption of library IoT and discusses the possibilities of its future expansion in different areas.