Mediating Role of Knowledge Management in the Relationship between Organizational Learning and Sustainable Organizational Performance

Unlocking digital potential: Exploring the drivers of employee dynamic capability on employee digital performance in Chinese SMEs-moderation effect of competitive climate

While dynamic capabilities have been described as crucial for achieving organizational performance in dynamic environments, there has been limited scholarly distinction between dynamic capabilities and employee dynamic capabilities (EDC), especially in the digital era. Consequently, a knowledge gap has emerged. To address this void, this paper aims to investigate the driving factors of EDC and their impact on employee digital performance (EDP). Simultaneously, incorporating the competitive climate (CC) as a moderating variable between employee dynamic capabilities and employee digital performance addresses theoretical gaps in specific regions in China, particularly in small and medium-sized enterprises (SMEs). This study utilizes survey data from SMEs in four Chinese provinces: Shanghai, Guizhou, Guangdong, and Anhui. It employs CB-SEM (AMOS) to analyze the new conceptual framework. Firstly, the research uncovers that the positive relationship between digital capabilities and employee digital performance necessitates employee dynamic capabilities as a mediator. Secondly, there exists a direct and indirect relationship between organizational learning and employee digital performance. Finally, this study discerns that the competitive climate moderates the relationship between employee dynamic capabilities and employee digital performance. This finding demonstrates remarkable alignment with the competitive culture in specific regions of China. The research results encourage SMEs to seize the opportunities presented by emerging digital technologies and industry digitization trends. They should commit to embracing new digital technologies, enhancing digital capability, strengthening organizational learning, fostering a positive competitive climate, and focusing on the development of employee dynamic capability to enhance their competitive edge. The findings of this research contribute not only to academic inquiry but also furnish pertinent decision-making references for relevant departments.

New insights into corporate sustainability, environmental management and corporate financial performance in European Union: an application of VAR and Granger causality approach

The paper examines how environmental, social, and governance (ESG), including management incentives, influence a firm's financial performance. The study method is based on an empirical analysis of data describing firm-level information about corporate financial performance and corporate sustainability performance between 2001 and 2020, summing up 6291 observations related to 422 analyzed firms from the European Union (EU). The study findings emphasize that firm size is highly influenced by sustainable economic development and significantly conditioned by a CSR strategy and a capable management team. We also prove a long-term relationship between the measures of corporate financial performance and the scores reflecting corporate ESG performance. Our results show a co-integration relationship between corporate financial performance metrics and corporate sustainability performance scores. ESG corporate performance is highly conditioned by the level of resources affected for this purpose, directly impacting firms' cash flow.

Capabilities and Opportunities: Linking Knowledge Management Practices of Textile-Based SMEs on Sustainable Entrepreneurship and Organizational Performance in China

Most researchers hold the role of dynamic capability (DC) as a key factor of achieving sustainable entrepreneurship performance (SEP) and Organizational Performance (OP) with the competitive advantage of knowledge management practices (KMPs). However, the effects of KMPs with SEP and OP are still under discussion. Moreover, the ambidexterity view, exploring the direct impact of KMPs mediated by dynamic capabilities (DC), gives evidence of sustainable entrepreneurship and organizational performance. Measuring the gathered data of 480 textile-based SME entrepreneurs and organizations through structural equation modeling, the study’s finding shows that KMPs positively and significantly influence sustainable entrepreneurship and organizational performance. Furthermore, this study explores the partial mediation of dynamic capabilities among KMPs with SEP and organization performance. At the same time, opportunity recognition is a moderator that strengthens the relationship between DCs with sustainable entrepreneurship and organizational performance. The study is limited to male textile-based SMEs and can be enhanced by female entrepreneurs. Furthermore, this research contributes to entrepreneurship students by encouraging better research work in current and existing studies, and practically assists government and private policymakers and business practitioners to formulate better strategies for the sustainability and economic growth of a country.

Knowledge Management in Relation to Innovation and Its Effect on the Sustainability of Mexican Tourism Companies

An essential aspect of today’s companies is to convert their knowledge into innovative applications that have a sustainable effect; therefore, this study focuses on determining the relationship between the three mentioned constructs. To verify this, a questionnaire was applied to 492 companies in the tourism sector in southern Sonora, Mexico, whose information was captured in SPSS and analyzed with structural equations in the SmartPLS software. The main findings affirm that knowledge management has a direct, positive, and significant relationship with sustainability and innovation, as well as a positive and direct relationship between innovation and sustainability. Companies can focus on knowledge management that will generate innovation and in turn will be distinguished by achieving sustainability, with a possible generation of competitive advantage, as well as sustainable innovation.

Organizational Culture as a Prerequisite for Knowledge Transfer among IT Professionals: The Case of Energy Companies

The energy sector is the epitome of Industry 4.0; therefore, it should be developed in line with the Industry 4.0 implementation framework and be managed according to the guidelines dedicated to knowledge-based enterprises. Under this model of evolution, the layers surrounding the technological aspects are first, knowledge management (in particular, its transfer), and then people, and culture. This study addresses two of the three identified levels by attempting to verify the organizational culture that supports professional knowledge transfer as the leading factor in effective specialist knowledge exchange in the energy sector. Recently, this sector has become highly dependent on IT solutions as the main factor for its development and security. A key role in this respect is played by IT professionals, whose attitudes and employee behavior are critical to the stability, efficiency, effectiveness, and security of IT systems in the energy companies. The purpose of this paper is to propose a theoretical construct, based on indicated norms and values as organizational culture foundation and cultural practices. This article also aims to analyze and diagnose the components that support the professional knowledge transfer in different groups of organizational stakeholders. Systematic analysis of the scientific literature, expert evaluation, and structured questionnaires were used to develop and verify the hypotheses. The research results supported the hypotheses that organizational culture tailored to the knowledge workers’ needs and expectations, influence the effective and efficient circulation of IT expert knowledge.

The Effect of Relational Capital on Organizational Performance in Supply Chain: The Mediating Role of Explicit and Tacit Knowledge Sharing

Relational capital and organizational performance were important factors for achieving sustainable development of the supply chain, and knowledge sharing could create and maintain sustainable competitive advantages of the supply chain. This study examined the comprehensive relationship among relational capital, explicit and tacit knowledge sharing, and organizational performance and the mediating roles of explicit and tacit knowledge sharing between relational capital and organizational performance in the supply chain by using data collected from a questionnaire survey. SPSS, AMOS, and a structural equation model were used to analysis these data and the aforementioned relationships. The results confirmed that relational capital had a positive impact on explicit and tacit knowledge sharing, there was no relation to organizational performance, and explicit and tacit knowledge sharing played mediating roles between relational capital and organizational performance in the supply chain. The research results could provide theoretical guidance for managers to formulate sustainable development strategies that maintain good relationships and economic benefits of enterprises in the supply chain.

Data Mining to Assess Organizational Transparency across Technology Processes: An Approach from IT Governance and Knowledge Management

Information quality and organizational transparency are relevant issues for corporate governance and sustainability of companies, as they contribute to reducing information asymmetry, decreasing risks, and improving the conduct of decision-makers, ensuring an ethical standard of organizational control. This work uses the COBIT framework of IT governance, knowledge management, and machine learning techniques to evaluate organizational transparency considering the maturity levels of technology processes applied in 285 companies of southern Brazil. Data mining techniques have been methodologically applied to analyze the 37 processes in four different domains: Planning and organization, acquisition and implementation, delivery and support, and monitoring. Four learning techniques for knowledge discovery have been used to build a computational model that allowed us to evaluate the organizational transparency level. The results evidence the importance of IT performance monitoring and assessment, and internal control processes in enabling organizations to improve their levels of transparency. These processes depend directly on the establishment of IT strategic plans and quality management, as well as IT risk and project management, therefore an improvement in the maturity of these processes implies an increase in the levels of organizational transparency and their reputational, financial, and accountability impact.

The Effects of Transformational Leadership on Organizational Performance: Testing the Mediating Effects of Knowledge Management

Transformational leadership is a sustainable and exemplary form of leadership that liberates subordinates’ ideas, enables subordinates to view problems from a different perspective, helps adaptation to changing environments, and increases Human Resources Management effectiveness in public and service institutions. The effects of transformational leadership on organizational performance by means of knowledge management have been examined in this study on the northern Cyprus Security Forces. In addition, the study aims to analyze the relationships between transformational leadership, knowledge management, organizational performance, job satisfaction, organizational learning, and knowledge creation processes. The questionnaire was conducted in three different periods using a time-lag method, and data were collected from 1229 employees for this study. The collected data were analyzed using structural equation modeling (Lisrel 8.54). The findings of the research include 17 hypotheses that were supported, and 1 hypothesis that was not. In addition, it was determined that organizational learning, knowledge management, and job satisfaction mediate the effect of transformational leadership on organizational performance.

Knowledge Criticality Assessment and Codification Framework for Major Maintenance Activities: A Case Study of Cement Rotary Kiln Plant

Maintenance experts involved in managing major maintenance activities such as; Major overhauls, outages, shutdowns and turnarounds (MoOSTs) are constantly faced with uncertainties during the planning and/or execution phases, which often stretches beyond the organisation’s standard operating procedures and require the intervention of staff expertise. This underpins a need to complement and sustain existing efforts in managing uncertainties in MoOSTs through the transformation of knowledgeable actions generated from experts’ tacit-based knowledge. However, a vital approach to achieve such transformation is by prioritising maintenance activities during MoOSTs. Two methods for prioritising maintenance activities were adopted in this study; one involved a traditional qualitative method for task criticality assessment. The other, a quantitative method, utilised a Fuzzy inference system, mapping membership functions of two crisp inputs and output accompanied by If-Then rules specifically developed for this study. Prior information from a 5-year quantitative dataset was obtained from a case study with appreciable frequency for performing MoOSTs; in this case, a Rotary Kiln system (RKS) was utilised in demonstrating practical applicability. The selection of the two methods was informed by their perceived suitability to adequately analyse the available dataset. Results and analysis of the two methods indicated that the obtained Fuzzy criticality numbers were more sensitive and capable of examining the degree of changes to membership functions. However, the usefulness of the traditional qualitative method as a complementary approach lies in its ability to provide a baseline for informing expert opinions, which are critical in developing specific If-Then rules for the Fuzzy inference system.