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This study aims to set out to identify and evaluate potential obstacles to successfully implementing lean construction (LC) as a result.

Several indicators were recognized as major obstacles following an exhaustive assessment of the literature and a multicriteria decision analysis based on the analytic hierarchy process (AHP) of information obtained from a questionnaire survey that was directed to practitioners in the Indian construction industry.

The results of this AHP model suggest that “Managerial” and “Inadequate resources” categories with a priority weight of “0.361” and “0.309” have the highest levels of influence, respectively, while “Inadequate knowledge” and “just in time (JIT)” categories with a priority weight of “0.053” and “0.034” have the lowest levels of influence, respectively.

Construction companies can use the study’s findings as a guide to determine whether they are ready to embrace LC, learn more about the components needed for implementation or investigate any challenges that may arise. These businesses can then create plans to promote the adoption and application of the lean philosophy.

The Indian construction industry may see great success with LC management initiatives. LC concepts have been adopted by many nations, but during the past 20 years, there has only appeared to be a limited amount of lean implementation in the Indian construction industry. It seems that several structural and cultural barriers are preventing its effective implementation. Organizations will not be able to determine what improvement efforts are required, where these efforts should be directed or which initiatives could provide the best outcomes if they are unaware of the elements that influence the effective implementation of LC.

Research on grey systems is becoming more sophisticated, and grey relational and prediction analyses are receiving close review worldwide. Particularly, the application of grey systems in marine economics is gaining importance. The purpose of this paper is to summarize and review literature on grey models, providing new directions in their application in the marine economy.

This paper organized seminal studies on grey systems published by Chinese core journal database – CNKI, Web of Science and Elsevier from 1982 to 2018. After searching the aforementioned database for the said duration, the authors used the CiteSpace visualization tools to analyze them.

The authors sorted the studies according to their countries/regions, institutions, keywords and categories using the CiteSpace tool; analyzed current research characteristics on grey models; and discussed their possible applications in marine businesses, economy, scientific research and education, marine environment and disasters. Finally, the authors pointed out the development trend of grey models.

Although researches are combining grey theory with fractals, neural networks, fuzzy theory and other methods, the applications, in terms of scope, have still not met the demand. With the increasingly in-depth research in marine economics and management, international marine economic research has entered a new period of development. Grey theory will certainly attract scholars’ attention, and its role in marine economy and management will gain considerable significance.

Small and medium-sized firms (SMEs) are typically reported to have a limited interest in broader societal concerns across the world. As a result, the purpose of this study is to develop a model of SME’s strategic philanthropic performance in light of the societal reactions to the COVID-19 issue, particularly in terms of the intervention of corporate spirituality and the solid regulatory motive behind these.

A systematic mixed review analysis has been executed to analyze the strategic philanthropic performance configuration triggered by the recent COVID-19 crisis, in which over 369 publications are read and reviewed by the authors. It has also established the reliability and validity of literature analysis. Also besides, a short form of qualitative investigation has been used to support the direction of the study.

Through regulatory adjustments, the study's findings effectively developed a strategic philanthropic performance configuration for SMEs. In this case, the strategic philanthropic convergence of corporate giving, corporate volunteering, corporate foundation and food bank has the potential to help SMEs thrive in the long run. The study also discovers that corporate spirituality might potentially mediate between appropriate regulations and strategic philanthropic performance of SMEs in the context of a supportive external environment.

Prior empirical attempts are subsequently required to inquiry about the proposed conceptualization from different perspectives.

The decision-makers of SMEs, with the efficient implementation of the proposed outline, will use the understanding given for their required actions to develop the competitive advantage in terms of social concerns. On this note, the outcomes of the study can also enhance business differentiation and competitiveness. It can also serve as a strategic guideline for firms to develop organizational values for long-term survival.

In the COVID-19 reality, SMEs will contribute to the concerns through philanthropy activities that are better suited for both enhanced social good and greater corporate advantages. The idea can also serve as a basis for SMEs to accomplish the Sustainable Development Goals (SDGs).

To the best of the authors' knowledge, this is the first research that conceptualizes the influence of government regulation on the strategic philanthropic performance of SMEs while taking corporate spirituality into account in order to survive the COVID-19 crisis.

This study introduces a comprehensive bibliometric analysis of the foreign direct investment (FDI) literature by multinational corporations (MNCs) focusing on emerging economies to identify the most influential authors, journals and articles in FDI research and reveals the fields' conceptual and intellectual structures. The purpose of this paper is to address these issues.

The study analyzed 533 articles published between 1974 and 2020 in 226 academic journals indexed in the Web of Science (WoS) and Scopus databases. We used the R language for statistical computing to map author collaboration, co-word and develop a conceptual and intellectual map of the field.

The results show that, although the FDI literature has many authors, few dominate the field. The International Business Review (IBR) and International Journal of Emerging Markets (IJoEM) are the main sources of the publications. Moreover, bibliometric laws show that our dataset follows the Lotka law of scientific productivity and Bradford law of scattering, identifying the core journals. Finally, FDI by MNCs in emerging economies research is divided into four sub-research themes related to (1) FDI determinants, (2) entry mode, (3) MNCs and FDI performance and (4) the internationalization process.

The current article provides several starting points for practitioners and researchers investigating FDI. It contributes to broadening the vision of the field and offers recommendations for future studies.

This study aims to provide a systematic and complete knowledge map for use by researchers working in the field of research data. Additionally, the aim is to help them quickly understand the authors' collaboration characteristics, institutional collaboration characteristics, trending research topics, evolutionary trends and research frontiers of scholars from the perspective of library informatics.

The authors adopt the bibliometric method, and with the help of bibliometric analysis software CiteSpace and VOSviewer, quantitatively analyze the retrieved literature data. The analysis results are presented in the form of tables and visualization maps in this paper.

The research results from this study show that collaboration between scholars and institutions is weak. It also identified the current hotspots in the field of research data, these being: data literacy education, research data sharing, data integration management and joint library cataloguing and data research support services, among others. The important dimensions to consider for future research are the library's participation in a trans-organizational and trans-stage integration of research data, functional improvement of a research data sharing platform, practice of data literacy education methods and models, and improvement of research data service quality.

Previous literature reviews on research data are qualitative studies, while few are quantitative studies. Therefore, this paper uses quantitative research methods, such as bibliometrics, data mining and knowledge map, to reveal the research progress and trend systematically and intuitively on the research data topic based on published literature, and to provide a reference for the further study of this topic in the future.

Continuous understanding of the best practices associated with new product development is a constant research opportunity to advance knowledge in the field, as far as changes in the business environment and the increasing turbulence level in different market segments create and reposition the importance of practices over time.

Based on a systematic review, the study aimed to analyze the 100 most relevant articles published in international journals on new product development (NDP), identifying new patterns on the best practices for new product development and the types of relationship involved in NPD.

Among the several practices observed in the literature, the analysis point to a larger group of studies that converge on the identification of a positive and significant relationship in integration – simultaneously – between supplier, company, customers and strategic alliances and the performance of NPD.

These results support integration as a cross-cutting and structural best practice for NPD, as long as it is constituted as a capacity, mainly applied in highly turbulent environments. This approach supported the proposition of a new framework.

Organizations will be able to implement the proposed framework to NPD strategy in order to prioritize resources in best practices, aiming to increase the performance of new product development.

The adoption of integration and co-creation practices for the development of new products expands the possibilities of economic and social development, based on the involvement of the actors in this network.

This model had not yet been proposed in the literature, filling a gap in the agenda for future studies.

Extreme high temperatures are a significant feature of global climate change and have become more frequent and intense in recent years. These pose a significant threat to both human health and economic activity, and thus are receiving increasing research attention. Understanding the hazards posed by extreme high temperatures are important for selecting intervention measures targeted at reducing socioeconomic and environmental damage.

In this study, detrended fluctuation analysis is used to identify extreme high-temperature events, based on homogenized daily minimum and maximum temperatures from nine meteorological stations in a major grassland region, Hulunbuir, China, over the past 56 years.

Compared with the commonly used functions, Weibull distribution has been selected to simulate extreme high-temperature scenarios. It has been found that there was an increasing trend of extreme high temperature, and in addition, the probability of its indices increased significantly, with regional differences. The extreme high temperatures in four return periods exhibited an extreme low hazard in the central region of Hulunbuir, and increased from the center to the periphery. With the increased length of the return period, the area of high hazard and extreme high hazard increased. Topography and anomalous atmospheric circulation patterns may be the main factors influencing the occurrence of extreme high temperatures.

These results may contribute to a better insight in the hazard of extreme high temperatures, and facilitate the development of appropriate adaptation and mitigation strategies to cope with the adverse effects.