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The aim of this study is to investigate the serially mediating effect of knowledge management (KM) practices (namely, knowledge creation, storage and sharing) on the organizational learning (OL) and organizational performance (OP) relationships during a crisis.

Based on theories-of-action, knowledge-based and resource-based theories, this study proposed a sequential mediation model where OL underlying mechanisms through which KM practices have facilitated OP during the crisis. The sample dataset contains 440 responses collected from the managers of the software development companies in Pakistan. The authors used Hayes Process macro with SPSS to test the study hypotheses.

The results of the study reveal that knowledge creation, storage and sharing serially mediate the relationships between OL and OP. These findings strengthen the argument suggesting that OL plays the key role in KM that helps software companies to mend their performance in times of crisis.

This study contributes to the KM literature in two ways: (1) grounded on the study's proposed framework, organizations can improve and manage their businesses in times of crisis and (2) learn how to generate new knowledge in response to business crises.

本研究擬探討在危機中,知識管理做法(即知識的創造、儲存和分享),如何連續地在組織學習與組織績效之間的聯繫上起著仲介效應

研究以行為理論、知識基礎理論和資源基礎理論之論據,提出了一個系統化的仲介模型,闡釋知識管理如何在危機中、透過以組織學習為基礎之機制,去促進組織之績效。數據集為取自在巴基斯坦的軟件開發公司工作的主管的440個調查答覆;我們以 Hayes, A. F. 的 PROCESS macro、並附以 SPSS,去測試我們的研究假設。

研究結果顯示、知識的創造、儲存和分享,會在組織學習與組織績效之間的聯繫上,起著連續性的仲介效應。知識管理被認為可幫助軟件公司在危機中改善其表現不足之處,而組織學習在知識管理上或許扮演著關鍵的角色。研究結果強化了肯定這個角色的論據。

本研究對知識管理文獻有兩方面的貢獻: (一)若以本研究提出的框架為基礎,組織可於危機中改善及管理其業務; (二)組織可學習如何創造新的知識,以能應對業務上極其困難的時刻。

組織學習、知識管理做法、組織績效、行為理論、2019冠狀病毒疫情危機、軟件開發產業.

The research aimed to study the influence of green human resources management practices (GHRMPs) on green supply chain management (GSCM) and environmental performance while examining how those green practices affect environmental performance.

The study investigated 314 cases (responses) from the small and medium-sized enterprises belonging to the service sector from an emergent economy (i.e. Oman). The study model was developed based on the theory of resource-based view and the theory of ability, motivation and opportunity. The structural equation modeling was used for hypotheses testing using SmartPLS 3 software.

Based on the findings, green hiring and green training and innovation have a positive and significant effect on GSCM, while both of them have no effect on environmental performance. Further, green performance management and compensation positively influenced the environmental performance but not GSCM. Furthermore, GSCM significantly and positively influenced environmental performance.

GHRMPs and GSCM can enhance environmental performance. Organizations should consider this interesting finding if they aim to reduce their negative environmental effect, conserve energy, prevent pollution and recycle garbage. Despite the fact that the present environment-friendly culture is still in its infancy, it adds uniqueness to this research by investigating the phenomenon's importance.

The purpose of this study is to discuss the construction of a structural measurement model utilizing structural equation modelling (SEM) to confirm the link between Industry 4.0 technologies, sustainable manufacturing practices and organizational sustainable performance. Relationship among the paradigm has yet to be fully investigated, necessitating a more conceptual and empirical examination on what impact they have on organizational sustainable performance when used together.

Industry 4.0 and sustainable production practices aim to progress a company's business competitiveness, forming sustainable development that benefits manufacturing companies. The aim of the study is to analyze the relationship between constructs that lead to operational excellence in firms that use Industry 4.0 technologies and sustainable manufacturing techniques. Experts from diverse automotive industries, who are applying both Industry 4.0 and sustainable manufacturing practices, provided data for the study.

Statistical estimations (hypotheses) are created to substantiate the measurement model that has been developed. The structural model was analysed, and the findings were discussed. The statistical estimate is either approved or rejected based on the findings. According to the conclusions of this study, strong link exists between Industry 4.0 technologies and sustainable manufacturing practices that affect organizational sustainable performance environmentally, economically and socially.

The research was conducted in the framework of automobile component manufacturing companies in India. The outcomes of the study are practically feasible.

The authors' novel contribution is the construction of a structural model with Industry 4.0 technologies and sustainable manufacturing practices into account.