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This paper examines the effect of managerial interlocking networks (MINs) on firm risk spillover by using a sample of Chinese A-share listed firms.

Applying the complex network approach, we build managerial interlocking networks (MINs) and leverage degree centrality to quantify a manager’s network position. To gauge firm risk spillover, we utilize the conditional autoregressive value at risk (CAViaR) model to compute the value-at-risk. Subsequently, we employ ordinary least squares to investigate the influence of MINs on firm risk spillover.

Our research uncovers a direct correlation between a firm risk spillover and the status of network positions within managerial interlocking networks; namely, the more central the position, the greater the risk spillover. This increase is believed to be due to central firms in MINs having greater connectedness and influence. This fosters a similarity in decision-making across different firms through interfirm managerial communication, thus amplifying the risk spillover. Economic policy uncertainty (EPU) and Guanxi culture furtherly intensify the effects of MINs. Additional analysis reveals that the impact of MINs on the firm risk spillover is significantly noticeable in non-state-owned enterprises, while good corporate governance diminishes the risk spillover prompted by MINs.

Our findings offer fresh insights into the interfirm risk outcome associated with MINs and extend practical guidelines for attenuating firm risk spillover with a view toward mitigating systemic risk.

This study examines situational challenges encountered by transformational leaders that hinder team performance in Brazilian companies, providing insights into the factors affecting optimal team functioning.

In total, 27 decision-makers assessed transformational leadership challenges in various team management scenarios outlined in the literature. The study employed a grey approach as a multi-criteria decision-making model to evaluate the readiness and identification of transformational leadership strategies. The study focused on five challenging situations as decision criteria, leading to a comparative ranking.

Preparation emerged as the most critical criterion for addressing transformational leadership challenges in team environments. Unequal workload distribution, which causes overload for certain team members, was identified as the most pressing issue, making it the most suitable scenario for applying transformational leadership strategies.

The study’s reliance on expert opinions introduces subjectivity, and the focus on Brazilian companies may limit the generalizability of the findings. Future research should explore these challenges in broader contexts, integrating cross-cultural perspectives and objective criteria. Additionally, combining qualitative methods with the grey approach could provide deeper insights into the complex dynamics of transformational leadership and team performance.

This research contributes to the knowledge base by identifying barriers that impact team performance in Brazilian corporate settings. It offers context-specific strategies to enhance teamwork effectiveness and organizational outcomes, supporting leadership development in Brazil.

This study explores the relationship between intellectual capital (IC), dynamic capabilities (DCs) and organisational performance (OP), addressing disagreements on whether IC is an antecedent or consequence of DCs and whether IC and DCs mediate or moderate the interactions between these constructs.

To address the study questions, four different models were developed that highlight the controversy among researchers regarding the nature of the interplay between IC, DCs, and OP. A cross-sectional survey of 394 managers working for government agencies and departments in Jordan’s capital city, Amman, was conducted to investigate different scholars’ perspectives on the nature of the interaction between these variables. The retrieved responses (166 with a 42.1% response rate) were analysed using SmartPLS.

Our results revealed that IC did not affect OP, whereas DCs did across the four models. IC affects DCs, and DCs also affect IC, highlighting the potential reciprocal relationship. The relationship between the variables is one of mediation and not moderation, which implies that DCs do not function as a moderator between IC and OP, and IC does not act as a moderator between DCs and OP. These results offer a complex picture of the connections between IC, DCs and OP, which has interesting implications for practice.

Our study reveals the significant role of DCs in OP within government institutions by extending theories on DCs’ adaptability and competitiveness. It emphasises the need for active management of IC to yield performance benefits, aligning with resource-based theories. This study also clarifies the mediation and moderation effects, opens new research avenues and highlights the potential reciprocal interaction between IC and DCs.

This study is the first to explore the reciprocal interaction between IC and DCs and the mediating and/or moderating role of either IC or DCs in their relationship with OP within the public sector, which has not received sufficient attention from scholars, especially in developing countries such as Jordan.

In recent times, digital transformation (DT) has witnessed a surge in popularity, not only within large enterprises (LEs) but also among small and medium-sized enterprises (SMEs). Various sectors, including manufacturing, have shown a keen interest in embracing DT for their operational and supply chain needs. Beyond delivering benefits such as improved product quality, revenue growth, enhanced customer service and heightened safety measures, DT offers a range of advantages, including heightened productivity, risk mitigation and environmental protection. However, in developing countries like India, manufacturing SMEs encounter significant challenges when attempting to embrace DT. Therefore, this study aims to identify and model the obstacles that impede DT adoption within the context of Indian manufacturing SMEs.

The literature review was used to pinpoint the barriers to adopting DT. Subsequently, these identified barriers underwent validation within the specific context of Indian manufacturing SMEs through the assessment of an expert team. The expert team proceeded to model these barriers using the interpretive structural modeling approach.

This study shows that high investment, return on investment and multiskilled workforces are the most crucial barriers to DT adoption. The proposed study aids policy and decision-makers in identifying the connections and dependencies between the barriers.

It provides a guideline for practitioners to deal with DT adoption barriers in the Indian manufacturing SMEs.

This study aims to measure scientific literature on the emerging research area of “big data” in the field of “library and information science” (LIS).

This study used the “bibliometric method” for data curation. Web of Science and altmetric.com were used. Data analysis and visualisation were done using three widely used powerful data analytics software, R-bibliometrix, VOSviewer and Statistical Package for Social Sciences.

This study revealed the most preferred venues for publication. Furthermore, this study highlighted an association between the Mendeley readers of publications and citations. Furthermore, it was evident that the overall altimetric attention score (AAS) does not influence the citation score of publications. Other fascinating findings were moderate collaboration patterns overall. Furthermore, the study highlighted that big data (BD) research output and scientific influence in the LIS sector are continually increasing.

Findings related to BD analytics in LIS techniques can serve as helpful information for researchers, practitioners and policymakers.

This study contributes to the current knowledge accumulation by its unique manner of blending the two approaches, bibliometrics and altmetrics.

This paper aims to highlight the impact of big data on library services. This study highlights the required skills of librarians and the application of big data analytics.

An analysis of the literature was also used to identify the various applications implemented in library services across the globe.

This study’s findings reveal that the role of big data remained limited because of a lack of knowledge and skills. Big data’s significant challenges include inadequate technical support, untrained librarians and financial constraints to meet these requirements. This paper highlighted the challenges and remedial measures that can be taken while adopting this technology in library services.

This paper is significant for librarians, practitioners and stakeholders of the various organization who desire to implement this technology in their respective libraries.

The purpose of this study is to evaluate the tannase-assisted extraction of tea stem pigment from waste tea stem, after which the stability of the purified pigment was determined and analyzed.

The extracting process was optimized using the response surface methodology (RSM) approach. Material-liquid ratio, temperature and time were chosen as variables and the absorbance as a response. The stability of the tea stem pigment at the different conditions was tested and analyzed.

The optimized extraction technology was as follows: material-liquid ratio 1:20 g/ml, temperature 50°C and time 60 min. The stability test results showed that tea stem pigment was sensitive to oxidants, but the reducing agents did not affect it. The tea stem pigment was unstable under strong acid and strong alkali and was most stable at pH 6. The light stability was poor. Tea stem pigment would form flocculent precipitation under the action of Fe²⁺ or Fe³⁺ and be relatively stable in Cu²⁺ and Na²⁺ solutions. The tea stem pigment was relatively stable at 60°C and below.

No comprehensive and systematic study reports have been conducted on the extraction of pigment from discarded tea stem, and researchers have not used statistical analysis to optimize the process of tannase-assisted tea stem pigment extraction using RSM. Additionally, there is a lack of special reports on the systematic study of the stability of pigment extracted from tea stem.

This study develops a model for understanding the relationships and interactions between the antecedents influencing inter-organisational collaboration in the healthcare sector.

A comprehensive and systematized search was conducted on Scopus to identify all relevant studies investigating the antecedents of inter-organisational collaboration in the healthcare sector. Antecedents were identified based on insights from experts and a systematised search method. A modified total interpretive structural model (m-TISM) was used to determine the hierarchical relationships between the identified antecedents. Finally, the Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis was employed to categorise the identified antecedents into clusters based on their driving or dependence influence.

Eight antecedents of inter-organisational collaboration in the healthcare sector were identified. The results revealed that having a shared vision and goals, digital infrastructure and proximity are the most crucial antecedents of inter-organisational collaboration in healthcare, along with leadership, shared resources and communication.

Future research on inter-organisational collaboration in the healthcare sector can include additional factors that may influence collaboration beyond those currently studied. Structural equation modelling can be employed to validate the proposed model.

The study proposes a hierarchical model for inter-organisational collaboration in the healthcare sector. The framework will help healthcare executives and academicians identify key antecedents that are most critical to enabling effective collaboration.

This study explores the contributions of fly ash, bottom ash and biomass ash from coal and biomass power plants for enhancing circular economy of construction sectors in emerging economies.

This research investigates their applications in construction, emphasizing their role in reducing environmental impact and promoting circular economy principles. Through a qualitative analysis using data from structured interviews with 41 involved stakeholders, the study highlights the economic and environmental benefits of integrating these by-products into business operations.

Currently, the cement and concrete industries can successfully adopt almost 100% fly ash, but logistic optimization is necessary to address the wet fly ash problem. The practical applications of bottom ash pose disposal challenges due to their poor adoption. Biomass ash can be alternatively implemented as a soil amendment and fertilization in the agriculture industry while current growth seems significant with the shift to a clean energy policy.

This research underscores the importance of policy support and collaboration between industry stakeholders to maximize the sustainable potential of these by-products in an emerging economy context.

The sustainability development goals (SDGs) were well-established in developing economies. Nevertheless, the literature review indicates that there is a lack of understanding regarding their backgrounds, influencing factors, challenges and practical applications for the circular economy.

Agricultural waste and food sources are some of the pollutants of the environment. One of these wastes is the peel of fruits that cannot be consumed as food. In this regard, walnut husk (WH) and oleaster peel (PO) are known as two important sources of tannin and are bulky wastes. Because of the high percentage of tannin, these materials can be used as a natural source for the preparation of bio-mordant in the dyeing process.

In this study, Reseda and Madder were used as natural dyes in the presence of a mixture of two bio-mordants. WH and PO were selected as bio-mordant. All natural resources are extracted to obtain the juice. The phenolic percentage of tannin-containing extracts was evaluated and then it was used for wool yarns by premordanting method. The results of evaluating the fastness properties using the ISO method.

The most important achievement of this research is the use of agricultural waste in the dyeing process to reduce environmental pollution and create added value. All compounds rich in tannin have some phenolic components, therefore the amount of phenolic content of these extracts was evaluated. The effect of mixing the mordant on the color characteristics of the yarns was investigated and the results showed that changing the ratio of the combination of two mordant is effective on the K/S values. The results of evaluating the fastness properties using the ISO method showed that the washing, rubbing and light fastness in the presence of mordant is good, good and moderate, respectively.

In this paper, to the best of the authors’ knowledge, for the first time, the combination of two natural extracts obtained from agricultural waste has been used to create a new bio-mordant on fibers and improve stability.