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The purpose of this paper is to examine the impact of two typical relationship management approaches (trust relationship with suppliers and reciprocity) on manufacturer resilience in the context of the COVID-19 crisis. Moreover, this paper aims to deepen the understanding of environmental uncertainty's moderating effect on the association between the trust relationship with suppliers (TRS) and reciprocity.

Structural equation modeling has been used to test the hypotheses on 361 Chinese manufacturing firms' managers and independent directors during the COVID-19 crisis.

The results reveal that reciprocity positively enhances three dimensions of manufacturer resilience, namely, preparedness, responsiveness and recovery capability. Reciprocity positively mediates the relationships between TRS and preparedness, responsiveness and recovery capability. Moreover, environmental uncertainty moderates the association between TRS and reciprocity.

This study highlights the critical role of reciprocity, the relational governance approach, in enhancing manufacturer resilience in practice. This paper suggests that during emergencies such as the COVID-19 pandemic, managers should adopt trust and reciprocity in supplier relationship governance to strengthen the resilience of manufacturing companies and adapt effective strategies according to the environment.

This study is unique in developing new scales of manufacturer resilience through interviews and surveys with Chinese manufacturers and theoretical research. Based on the social capital theory and social exchange theory, this study shed light on the role of trust and reciprocity. It also bridges relational governance theory with the literature on manufacturing firm resilience literature to help manufacturers better understand the transdisciplinary links between relationship management and resilient operations in emergencies.

This paper aims to introduce corporate social responsibility into the green supply chain and analyse the impact of different decision makers’ decision-making schemes on carbon emission reduction in the supply chain.

This study uses a two-stage low-carbon supply chain composed of a manufacturer and retailer as the research object. It uses the Stackelberg game model to analyse optimal carbon emission reduction and its influence under different decision-making modes.

Increased consumer green preferences and trust can improve the manufacturing enterprises’ carbon emission reduction rate. The carbon emission reduction rate decreases with increased green innovation costs. When green technology innovation costs remain constant, the greater the market capacity, the higher the carbon emission reduction rate. Market capacity has the most significant impact on the optimal carbon emission reduction rate without considering social responsibility decisions and has the least impact on the optimal carbon emission reduction rate while fully considering the social responsibility decision. To achieve decarbonisation production, the market capacity must be small, and when green innovation costs are high, it is the optimal choice without considering social responsibility. To achieve a higher level of carbon emission reduction, when the market capacity is low and the research and development cost is high or when the market capacity is large, it is the optimal choice.

The results provide scientific policy decisions and management significance for governments and enterprises in low-carbon subsidies and supply chain management. The findings also provide a basis for future theoretical research and enterprise practice.

The purpose of this paper is to provide scientific guidance for the integration of industrialization and information (TIOII). In recent years, TIOII has promoted the development of intelligent manufacturing in China. However, many enterprises blindly invest in TIOII, which affects their normal production and operation.

This study establishes an efficiency evaluation model for TIOII. In this paper, entropy analytic hierarchy process (AHP) constraint cone and cross-efficiency are added based on traditional data envelopment analysis (DEA) model, and entropy AHP–cross-efficiency DEA model is proposed. Then, statistical analysis is carried out on the integration efficiency of enterprises in Guangzhou using cross-sectional data, and the traditional DEA model and entropy AHP–cross-efficiency DEA model are used to analyze the integration efficiency of enterprises.

The data show that the efficiency of enterprise integration is at a medium level in Guangzhou. The efficiency of enterprise integration has no significant relationship with enterprise size and production type but has a low negative correlation with the development level of enterprise integration. In addition, the improved DEA model can better reflect the real integration efficiency of enterprises and obtain complete ranking results.

By adding the entropy AHP constraint cone and cross-efficiency, the traditional DEA model is improved. The improved DEA model can better reflect the real efficiency of TIOII and obtain complete ranking results.

Given the critical importance of green innovation (GI) for organizations in developing economies, this study aims to examine the interrelationship between knowledge management (KM) enablers, KM processes and GI. The research also indicates that certain combinations of KM enabler dimensions and KM processes can lead to better GI.

The study sample consists of 328 participants from Pakistan's medium- and large-sized manufacturing enterprises. Smart PLS 3.2.9 is used to verify the relationships. Moreover, the fuzzy set qualitative comparative analysis (fsQCA) investigates configurational paths for improving GI.

The results demonstrate that KM enablers significantly affect two aspects of GI – green product and process innovation – and KM processes. Moreover, KM processes significantly enhance two aspects of GI. The fsQCA findings indicate multiple combinations of KM enablers and KM processes dimensions that result in better GI.

To better understand the critical role of knowledge resources, future studies should explore the potential mediating mechanisms of KM processes or the moderating effects of strategic organizational factors in the relationship between KM enablers and GI.

The study offers valuable insight and a unique approach for policymakers and executives of corporations in developing countries to enhance their organizations' GI capacity through KM enablers and KM processes.

This research contributes to bridging research gaps in the literature and advances insights into the interrelationship among KM enablers, KM processes and GI. In addition, the study offers methodological significance by combining direct and configurational techniques to address two distinct facets of GI.

Creativity and productivity are important factors for corporate and government institutions in the COVID-19 era. As a result, there is an urgent need to ensure that construction projects can recover adequately to survive potential surges or even potential epidemics. Therefore, this study aims to explore social capital by examining the effect/impact of knowledge creation on construction performance in the COVID-19 era.

A simple random sampling approach focused on Ghanaian construction firms was used. Completed responses were obtained and analyzed from employees who had tasks on sites. SmartPLS 3.3.3 and Statistical Package for Social Sciences v. 26 was used.

One key finding from this research was that construction firms with solid social capital built by their management staff are more connected and have better adaptive systems than firms with low capital. A company’s development programs must concentrate not only on the development of targeted or selective know-how and professional abilities but also on capacity creating, collaboration and knowledge creation and sharing among its employees.

Using this study’s findings, construction professionals can develop successful solutions to the COVID-19 epidemic and future emergencies. Additionally, the comprehensive exposition of the implications, constraints and preventive methods in this study may enable scholars to discover current gaps in the literature and investigate other elements of the pandemic’s influence on the construction industry.

The effective and efficient implementation of daily work activities necessitates tacit knowledge sharing, boosting firm productivity. However, the link between tacit knowledge sharing within a company and its effects on organizational performance is unclear, so the purpose of this study is to examine the impact of sharing tacit knowledge on the success of a company.

Construction managers and senior managers were the study’s target participants. The correlation matrix was used to assess the significant correlation between study frameworks and the statistical approach of multiple regression was also used to test the hypotheses using statistical package for social sciences (SPSS) v.26.

The findings suggest that companies will be more willing and capable of making decisions based on experience when knowledge systems are used successfully. Furthermore, new organizational knowledge and particular evaluation procedures, such as anxiety and conflict resolution preparation, personal relationship and training improvement, mediation and task clarity, are explained, which can aid in success.

The study contributes to construction companies’ perception of knowledge sharing and recommends organizations to build capacity to encourage, improve engagement and review to maintain the dissemination of knowledge.

The study aims to explore the impact of tacit knowledge sharing (TKS) factors and its consequences in the form of technological innovation capabilities (TICs) within Pakistani software small–medium enterprises (SSMEs).

Drawing upon the social exchange theory (SET), the study used a quantitative approach and structural equation modeling (SEM) to test hypotheses with 220 valid data collected from 23 Pakistani software SSMEs.

The peer influence (PI) has positive and significant effect on collaborative culture (CC), willingness to share tacit knowledge (WSTK) and TICs. Organizational trust (OT) has a positive and significant impact on CC and TIC. Whereas, CC possessed positive and significant effect on WSTK and insignificant on TIC. Furthermore, WSTK has positive and significant effect on TIC. Finally, WSTK partially mediates the relationship between PI and TIC whereas WSTK fully mediates the relationship between CC and TIC.

The study enriches the research on knowledge sharing and TIC. This research investigates the precursors of tacit knowledge-sharing willingness and their consequences in software SMEs; future studies need to examine tacit knowledge-seeking willingness and its consequences not only in software enterprises but also in other industrial sectors. Besides, it needs to evaluate types of innovative capabilities in software SMEs.

The study suggested that the practitioners need to strengthen TKS in the form employees’ updated skills and expertise which ultimately fosters software enterprise’s innovative capabilities to attain competitive advantages in a specific industry.

This research is one of the few studies to examine the potential antecedents of WSTK and their final effects within software SMEs in the form of TICs. As currently it is observed, an incredible increase of skills oriented innovations in firms particularly in the software domain and IT industry. Therefore, this study emphasizes how PI, OT and WSTK positively affect TIC of Pakistani software SMEs. However, the study could be considered as a guideline for the academia and practitioners who attempt to strengthen the technological innovations capabilities in software SMEs.