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In today’s digital economy, it is very important to cultivate digital professionals with advanced interdisciplinary skills. The purpose of this paper is that universities play a vital role in this effort, and research teams need to use the synergistic effect of various educational methods to improve the quality and efficiency of personnel training. For these teams, a powerful evaluation mechanism is very important to improve their innovation ability and the overall level of talents they cultivate. The policy of “selecting the best through public bidding” not only meets the multi-dimensional evaluation needs of contemporary research, but also conforms to the current atmosphere of evaluating scientific and technological talents.

Nonetheless, since its adoption, several challenges have emerged, including flawed project management systems, a mismatch between listed needs and actual core technological needs and a low rate of conversion of scientific achievements into practical outcomes. These issues are often traced back to overly simplistic evaluation methods for research teams. This paper reviews the literature on the “Open Bidding for Selecting the Best Candidates” policy and related evaluation mechanisms for research teams, identifying methodological shortcomings, a gap in exploring team collaboration and an oversight in team selection criteria.

It proposes a theoretical framework for the evaluation and selection mechanisms of research teams under the “Open Bidding for Selecting the Best Candidates” model, offering a solid foundation for further in-depth studies in this area.

Research progress on the Evaluation Mechanism of Scientific Research Teams in the Digital Economy Era from the Perspective of “Open Bidding for Selecting the Best Candidates.”

Objective is to investigate the effects of COVID-19 on the performance and productivity of infodemic research. A comprehensive bibliometric analysis is conducted using data extracted from Thomson Reuters' Web of Science, and the analysis is facilitated by the bibliometrix and biblioshiny tools.

Data was extracted from the Web of Science (WoS) database provided by Thomson Reuters. Therefore, literature published outside of the WoS database was not included. Results were extracted about the Document Type, Research Area, Language, Publication year, and country or countries for all authors because this study was interested in scholarly international collaboration. The researcher also used the Thomson Reuters Web of Science’s InCites Essential Science Indicators database, which allowed the researcher to measure the scientific output performance of countries over a period of time. In addition to InCites data, citation data and international collaboration for all countries were also downloaded.

Inclusion and exclusion criteriax: this study focused on literature published by authors identified by each author’s affiliation in each publication. Thus, the WoS topic field was searched by “infodemic” or “information epidemic” or “info ebidemic”. The time span selected for this study started from 2018 to 2022, allowing the researcher to survey the nature of the literature during the last 6 years before COVID-19 and 4 years after COVID-19 to identify the effects of COVID-19 on research in the world regarding both performance and productivity. The study included various types of materials, such as articles, early access, and review articles.

A comprehensive bibliometric analysis is conducted using data extracted from Thomson Reuters' Web of Science, and the analysis is facilitated by the bibliometrix and biblioshiny tools. The findings reveal that prior to the COVID-19 outbreak, researchers contributed a total of 3,960 documents, with the United States leading with 2,933 publications, followed by China with 2,561. However, the production of infodemic research doubled following the onset of the pandemic, resulting in a total of 6,979 documents. Both before and after COVID-19.

This paper focuses on managerial practices in the context of supply chain. It focuses on the innovation of monitoring and control practices and proposes a holistic approach to managing social sustainability in the supply chain, extending the point of view beyond the traditional boundaries of individual factories or their immediate suppliers.

The analysis is based on a systematic review of scientific literature on managerial practices in supply chains, with a specific focus on social sustainability. The primary goal is to identify essential measurement strategies and key indicator factors within this domain.

Our findings highlight that most of scientific literature focuses on qualitative approaches, though quantitative approaches are also used. Despite the extensive research, an under-investigated area is the use of hybrid models for measuring social sustainability in the supply chain.

This framework is designed to identify the main categories of measurement and relative indicators for assessing social sustainability in supply chains.

This research proposes an innovative and integrated framework, leveraging a hybrid approach that addresses the limitations observed in existing management practices. Additionally, it provides directions for future research.

This study aims to analyze the distribution of novelty among scholarly papers in the field of library and information science (LIS) in China. Specifically, this study explores the distribution of novelty of papers in various journals, research topics and different periods. It is possible to understand the characteristics of LIS research in China and what factors have influenced it.

This paper collects articles published in Chinese library science journals indexed by the Chinese Social Sciences Citation Index from 2000 to 2022. The BERTopic model is used based on abstracts of the papers and to obtain the topic of each paper. Based on the combination innovation theory of reference pairs cited by focal papers, novelty scores of all papers are calculated. Next, this paper analyzes the novelty of papers under different topics. Finally, this paper analyzes the differences in author collaboration patterns across various topics, aiming to explain how these differences relate to the novelty of papers from a collaborative perspective.

This study shows that archival research topics have lower novelty than papers on journal evaluation and patent technology in Chinese LIS. Research papers in this field are gradually becoming more novel over time. Papers on different topics and with varying degrees of novelty exhibit distinct author collaboration patterns, with low-novelty topics more frequently featuring solo authorship, while high-novelty topics tend to involve a higher percentage of inter-institutional collaboration.

This study investigates the novelty characteristics of research papers on different topics in the field of LIS in China. The authors’ contribution includes visualizing research hotspots and trends in the field and analyzing authors’ collaboration patterns at the level of research topics, thereby providing new perspectives on the factors affecting the novelty of these papers.

This paper aims to study the intellectual landscape of green purchase (GP) literature, visualize and analyse the temporal evolution, thematic mapping of emerging and future research themes using a systematic and quantitative literature review approach.

The study employs a bibliometric analysis and examines the bibliometric metadata consisting of 440 studies extracted from the Scopus database for the years 1990–2022 within the GP field.

The findings based on performance analysis and visualization networks reveal the productivity trend of GP by years, authors, academic relationships, international collaborations, top cited publications, most occurring keywords, existing and emerging themes and temporal theme evolution.

It provides a broader/macro view of the topic and lacks specificity and deeper analysis, which can be addressed in future bibliometric studies.

The integration of topics contributes to the development of the intellectual landscape of the GP research field and suggests thrust areas for future research. The study offers important implications for the academic community to gain a comprehensive and global understanding of green purchasing.

This research is unique as previous studies have not quantitatively compiled and extensively analysed work of these characteristics on the area under study using bibliometrics.

Due to excessive carbon dioxide emissions, the world is facing environmental devastation. Energy and environmental innovations are considered to be critical tools in combating the growing CO₂ emissions. Developing these innovations requires extremely high investments in research and development processes, where knowledge is generated as one of the important outputs. This knowledge serves as a basis for innovation development and raising awareness among all relevant stakeholders about excessive environmental degradation. One of the significant sources of knowledge is scientific publications. Therefore, the aim of this research is to examine whether increased CO₂ emissions stimulate the scientific community to publish a greater number of papers, as well as whether the knowledge contained in these publications is utilized in reducing CO₂ emissions. The sample consists of G7 member countries. The time frame of the research is 1996–2019. The dynamic properties of the vector autoregression (VAR) models were summarized using impulse response function and variance decomposition forecast error. In most G7 countries, it has been determined that an increase in scientific production in environmental science and energy leads to a reduction in CO₂ emissions. On the other hand, increased CO₂ emissions affect higher scientific productivity in environmental science and energy only in Canada.

The purpose of this study is to draw a scientific map of the Grand Tours cycling as part of the growing research field in this field at the global level. This study also identifies the components of scientific production in this field along with their collaboration patterns.

With the aim of achieving a comprehensive and deep understanding of the studies related to the Grand Tour, this research aims to address the existing gaps and provide a comprehensive summary of these scholarly works. To achieve this goal, the authors used a systematic and scientometric combination method, analyzing studies from the past half century (1970–2022).

The research findings reveal that scientific studies related to cycling events exhibit a geographical concentration within the continent of Europe, surpassing other continents. Notably, Spain, the USA, the UK and Italy emerge as pioneers in this field of inquiry. The main themes identified in these studies encompass cycling, the Tour de France, performance, professional roa cycling, heart rate, endurance, doping and power output.

This research, along with other systematic studies, contributes to the existing literature in this field by providing both quantitative and qualitative data. Additionally, the study serves as a foundation for identifying active and influential countries, institutions and authors in this domain. Such insights are highly effective in establishing scientific focal points in this field.

This study, in conjunction with the introduction of key figures in mega cycling event research, sheds light on the thematic areas explored within these studies. Notably, it is the sole study that has illuminated hidden facets of this field using scientometric and systematic methods.

Building on current debates on innovation, knowledge diffusion, and institutional dynamics, we explore the influence of national innovation systems (NISs) on international innovation collaborations in Latin America, focusing on intellectual property rights (IPR), access to scientific knowledge and regulatory quality.

We analyze data from 17 Latin American countries from 2002–2015 using time-series panel analysis to evaluate how different NIS elements affect regional cooperation for innovation.

Regulatory quality can improve international collaboration by compensating for weaker IPR and scientific knowledge bases. Interestingly, while both IPR and scientific knowledge inherently promote cooperation, stronger regulatory environments may diminish the effectiveness of IPR protections, suggesting a potential substitution effect.

The study offers actionable insights for policymakers in developing regions to help them craft more effective policies for collaboration in innovation that consider the balancing act between regulatory quality and other NIS elements.

This research shifts focus from the conventional analysis of how developing countries attract collaboration from developed nations to how they can foster innovation among themselves, providing a unique perspective on the interaction between institutional factors and innovation capabilities within the Latin American context.

This study aims to comprehensively analyze the intersection of technology management and innovation management amidst the fourth industrial revolution, uncovering evolving trends and influential contributors.

Using the Bibliometrix R-package, this pioneering research conducts a bibliometric analysis to delve into innovation and technology management literature, quantifying scholarly output and identifying thematic breakthroughs.

The study reveals quantitative insights into the progression of innovation and technology management research, offering guidance on evolving trends, thematic breakthroughs and influential contributors.

The findings offer valuable insights for practitioners and managers, guiding them through emerging trends and recommending a dual focus on fundamental principles and emerging areas for strategic decision-making.

By fostering active engagement with evolving trends, this research contributes to the ongoing technology and innovation management discourse, potentially leading to societal benefits and advancements.

This study pioneers an in-depth bibliometric analysis at the intersection of innovation and technology management, offering unique insights and quantitative assessments of scholarly output and thematic trends, thus adding significant value to the existing literature.