Impact Of Knowledge Management Research Articles

Assessing knowledge management's impact on supply chain performance in a strategic trend

AbstractSupply chain performance (SCP) is the major factor that helps companies to increase its competitiveness. However, knowledge management (KM) has, in appearance, a direct impact on SCP, but its formalization remains always ambiguous. In fact, this paper aims to determine KM impact on SCP facets (SCPF) through highlighting the relation between KM elements (KME) and SCPF. Proposed approach consists, first, to design a conceptual model identifying the relationship between KME and SCPF. Thereafter, to implement this model, quality function deployment (QFD) house of quality (HOQ) was used. Through the interrelationship matrix, the impact of each KME on whole SCPF can be measured and evaluated, similarly, the impact of whole KME on each SCPF. Finally, based on interviews treated with the managers of SIDILEC international company, a case study was implemented. The results demonstrate that knowledge application, sharing, and capitalization are the most impacting KME on all SCPF. Furthermore, reliability and sustainability are the most impacted SCPF by all KME.

HUMAN JUDGMENT IN ARTIFICIAL INTELLIGENCE FOR BUSINESS DECISION-MAKING: AN EMPIRICAL STUDY

The deployment of AI systems has increased across several industries as they exhibit progressively stronger predictive performance. Due to safety, moral, and legal considerations, full automation is frequently undesirable. However, fully manual methods might be erroneous and time-consuming. The idea of using AI to support human decision-making is therefore gaining popularity in the scientific community. The flourishing subject of AI decision-making needs to embrace empirical methodologies in addition to building AI technologies for that purpose to establish a solid understanding of how people interact and collaborate with AI to make decisions. This research intends to analyse how artificial intelligence uses human judgment for decision-making in business. Researchers gathered survey results from high-tech employees in India via email, media, and other means. The sample size was 196, and the sampling strategy most likely employed was convenience sampling. With the data collected measurement and structural model are performed and found that artificial intelligence-based decision-making impacts the organizations’ business value and artificial intelligence capability impacts the organization created with the moderating effect of business intelligence. Also, it is concluded that AI-based decision-making impacts knowledge management.

Knowledge Management's Impact on Customer Experience and Consumer Satisfaction in the Hospitality Sector: A Literature Meta-Analysis to Identify Common Qualitative Themes

Knowledge Management's Impact on Customer Experience and Consumer Satisfaction in the Hospitality Sector: A Literature Meta-Analysis to Identify Common Qualitative Themes

Knowledge management's impact on customer experience and consumer satisfaction in the hospitality sector: a literature meta-analysis to identify common qualitative themes

Knowledge management's impact on customer experience and consumer satisfaction in the hospitality sector: a literature meta-analysis to identify common qualitative themes

The Effect of Good Governance Practices and Decision Making at Da’wah and Communication Faculty UIN Raden Fatah Palembang

In the dynamic landscape of higher education, effective governance practices and decision-making within academic institutions are pivotal for shaping the academic environment. This holds particularly true for faculties dedicated to Da'wah and Communication, where religious principles, communication, and academic rigor converge. This study explores governance practices and decision-making dynamics within the Da’wah and Communication Faculty at UIN Raden Fatah Palembang. The research delves into administrative structures, decision-making processes, and their impact on academic, religious, and communicative dimensions. Differentiating educational governance from corporate governance, the study underscores the complexity of educational contexts. In the Da’wah and Communication Faculty, the Management Review Meeting serves as a crucial governance practice. The meeting involves agenda overview, prior meeting evaluation, academic contributions, student affairs, financial analysis, technology assessment, and open discussion. This strategic approach enhances organizational performance, aligning with the principles of good governance. The research methodology employs a quantitative approach, utilizing cross-sectional data from interviews and questionnaires. The Likert scale measures perceptions, with decision-making as the dependent variable and good governance as the independent variable. Hypothesis testing involves simple linear regression and partial tests. Research findings suggest a positive but statistically insignificant correlation between knowledge management (KM) and decision making (DM). Influencing factors include small sample sizes, high variability, insensitive measurement methods, unaccounted control variables, temporal aspects, and chance factors. Enhancing significance requires expanded sample sizes, detailed control variables, and robust statistical methods. Contextual considerations are crucial, emphasizing the context-dependent nature of the KM-DM relationship. In conclusion, the KM-DM relationship is generally perceived as positive, yet lacks consistent statistical significance. Factors influencing this relationship necessitate methodological improvements. Recognizing the context-dependent nature of KM's impact on decision-making outcomes, researchers can refine strategies for more targeted decision-making in educational organizations.

Understanding AI tool engagement: A study of ChatGPT usage and word-of-mouth among university students and office workers

This study aims to explore the determinants of user behaviors toward an artificial intelligence (AI) tool, ChatGPT, focusing on university students and office workers. In this study, we present a comprehensive model to understand user engagement with AI tools, specifically focusing on ChatGPT. The model is grounded on four primary stages, each containing distinct variables: 1) fundamental (comprising perceived intelligence and system quality), 2) knowledge and service (covering knowledge acquisition, application, personalization, and trust), 3) gain with user tendency (encompassing utilitarian benefits, individual impact, satisfaction, and personal innovativeness), and 4) behavior (including behavioral intention, continued usage, and Word-of-Mouth (WOM)). A total of 13 variables have been examined. A survey was conducted on a sample of 645 university students and office workers, and the collected data were analyzed using partial least squares structural equation modeling (PLS-SEM). The results reveal significant associations between perceived intelligence and knowledge management, and personalization. System quality also significantly impacts knowledge management and personalization. Knowledge acquisition and application were found to significantly affect utilitarian benefits and individual impact, but not satisfaction. Personalization significantly influenced utilitarian benefits, individual impact, and satisfaction. Trust significantly impacts behavioral intention. Utilitarian benefits and individual impact had a positive effect on satisfaction, behavioral intention, and WOM. Personal innovativeness was significantly associated with behavioral intention. Behavioral intention significantly affected usage and WOM, while usage did not significantly associate with WOM. Among control variables, only age affects behavioral intention. This study also confirmed the indirect effects and conducted a multi-group analysis (MGA) between students and workers. MGA results show that there are significant differences in three relationships (personalization-satisfaction, utilitarian benefits-WOM, and behavioral intention-WOM) between students and workers. This research extends the understanding of AI tool usage and provides theoretical and practical insights for researchers, practitioners, and policymakers in AI and related fields.

Web-based Information Systems and Knowledge Management's Impact on Worker Performance

The process of doing a literature review involves learning about and examining the findings of research that has been published by researchers in relation to earlier bodies of knowledge. Activities that involve reviewing the literature might improve knowledge-building in relation to ongoing research. with the investigation being made. Making an effective and accurate literature review requires using relevant research and the findings of prior studies. study findings The findings of earlier studies and pertinent research are helpful in bolstering theories, notions, and phenomena connected to and influencing the generation of variables. the development of variables through connected and influencing processes. The performance of a company's employees is reviewed in this article in detail company. These elements include knowledge management, web-based information systems, and literature reviews. The Executive Support System (ESS) for Business is the subject of an information system, knowledge management, and literature review. The effects of web-based information systems on employee performance and knowledge management on employee performance are just a few of the outcomes that can be gained via literature research efforts

Knowledge Management Factors and Its Impact on Organizational Performance: A Systematic Literature Review

Knowledge management can help organizations to improve their performance. Many studies show that knowledge management impacts organizational performance. Human capital is considered a mediating role in knowledge management's impact on organizational performance, but it is still blurred, and only a few studies are related to this issue. Moreover, various factors influence knowledge management, such as organizational structure, culture, technology, strategy, trust, and leadership, but maybe other factors have not been identified. This factor can help knowledge management impacts organizational performance. This study was conducted to determine how the human capital role mediates the impact of knowledge management on organizational performance and determine another factor that affects knowledge management, which can impact organizational performance. This study was based on the Systematic Literature Review (SLR), which includes 37 articles published from 2016 to 2021. The study showed that human capital mediates the impact of knowledge management on organizational performance directly and indirectly through innovation. Meanwhile, organizational structure, culture, trust, leadership, human behavior, human resources practices, technology, and strategy are identified as factors that affect knowledge management, whereas human resources practices affect human behavior and leadership. Finally, we proposed a conceptual model that described how knowledge management factors impact human capital and organizational performance. This research can contribute to enriching knowledge management theory and be used to give recommendations for improving the implementation of knowledge management. Further research involves data collection, and empirical analysis needs to be conducted in an organization to examine the conceptual model.

Energy Management in Manufacturing

In order to reduce the growing negative impact of CO2 emissions, manufacturing firms have begun to refocus efforts on energy management. Several studies have focused on drivers and inhibitors of energy management but few regarding manufacturing energy management maturity. This study investigates both drivers and the role of knowledge management on manufacturing energy management maturity. Using multivariate analyses, questionnaire data from manufacturing personnel throughout the United States is utilized to assess these relationships. The results provide the support that economic followed by organizational and corporate social responsibility (CSR) positively impact knowledge management practices within organizations. Additionally, this study provides support that knowledge management practices within U.S. manufacturing organizations have a positive association with environmental management maturity. Findings contribute to theory and practical knowledge by highlighting the configurational effects of knowledge management and energy management maturity.

The impact knowledge management processes on business performance via the role of accounting information quality as a mediating factor

PurposeThis study aims to empirically investigate the role of accounting information quality (AIQ) as a mediating factor in the relationship between knowledge management (KM) processes and business performance (BP) of the financial institutions (FI) operating in Jordan.Design/methodology/approachBased on a literature review and knowledge-based theory, an integrated conceptual framework has been developed to guide the study. The study’s conceptual framework is constituted of three primary constructs, namely, KM processes (acquisition, integration and utilization), BP (financial indicators and non-financial indicators) and AIQ conceptualized using the International Accounting Standard Board’s (2010) framework fundamental qualitative characteristics (relevance, understandability, faith representation and comparability). Data has been collected through a self-administered questionnaire applied to 247 respondents. The targeted respondents have been FIs (commercial banks and insurance companies) in Jordan.FindingsThe main findings supported accounting information as a mediator factor in enhancing the relationship between the FIs’ KM process and BP (FI) operating in Jordan.Originality/valueThis study contributed to theory by filling a gap in the literature regarding the role AIQ as a mediator factor between the KM process and BP of the FI operating in Jordan as a developing country.

Cross-cultural metacognition as a prior for humanitarian knowledge: when cultures collide in global health emergencies

PurposeA serious global public health emergency (GPHE) like the COVID-19 aggravates the inequilibrium of medical care and other critical resources between wealthy and poor nations, which, coupled with the collision of cultures, indicates the vital need for developing humanitarian knowledge transcending cultures. Given the scarcity of literature addressing such unprecedent issues, this paper thus proposes new, unconventional viewpoints and future themes at the intersection of knowledge management (KM) and humanitarian inquiry.Design/methodology/approachThis paper is conceptual in nature. The data of the World Bank and the Office for the Coordination of Humanitarian Affairs are analysed to introduce some emerging real impact topics regarding cross-cultural conflicts and humanitarian knowledge in the post-COVID business world. The theoretical foundation was built upon a critical literature review.FindingsThis paper synthesizes the perspectives of culture, KM and the humanistic philosophy to distil the core component of cultural intelligence and comparatively and thereby illuminating why cross-cultural metacognition acts as a priori for achieving cosmopolitan humanitarian knowledge.Research limitations/implicationsThis paper provides profound implications to academics by highlighting the importance to formulating new, inter-disciplinary themes or unorthodox, phenomenon-driven assumptions beyond the traditional KM domain. This paper also offers practitioners and policymakers valuable insights into coping with the growing disparity between high- and low-income countries by showing warning signs of a looming humanitarian crisis associated with a GPHE context.Originality/valueThis paper does not aim to claim the birth of a new domain but call for more research on developing a normative theory of humanitarian knowledge as transcendence of cultures. It implies uncharted territories of great interest and potential for the real impact KM community.

Transformational Leadership: Implementing a Cultural Approach in Organizations

This study provides support for the positive impact of transformational leadership on knowledge management. This article reveals that transformational leaders contribute to knowledge management by acting as effective change agents through better management of firms’ internal resources (i.e. organizational culture). In terms of mediating effects, this article shows that organizational culture is important in the relationship between transformational leadership and knowledge management. The study also shows that transformational leaders not only directly impact knowledge management but, more specifically, foster a more effective culture, which positively contributes to the effectiveness of knowledge management.

Maturity and level of knowledge management in the company: an application of Nonaka and Takeuchi model and Fuzzy Logic

Abstract: This paper aims to understand how the interconnection between the tacit and explicit dimensions of knowledge impacts knowledge management and its degree of maturity. Knowledge management maturity is understood as the ability firms are expected to have in order to exercise (to some degree) the skills required to manage knowledge internally. Nonaka and Takeuchi (N&T) model of organizational knowledge management was applied to a sample of companies (segmented by size) from the states of São Paulo, Minas Gerais, and Rio de Janeiro, by using the logic of fuzzy sets. The results have shown that small and medium companies have lower levels of knowledge management maturity when compared to large companies. However, in large companies, knowledge management is at medium levels. In this context, this paper suggests, as management guidelines, that companies measure their professionals' perception regarding the company level of knowledge management, pursuing to identify which of their components should be developed.

Enhancing Organizational Performance through Social Media use and Knowledge Management

Researchers acknowledge the importance of knowledge, innovation, social capital, and social media for organizations. Based on practical and academic importance of these variables, hypotheses were developed and relationships have been tested among knowledge management, innovation and performance for various contexts. Furthermore, hypotheses have also been drawn to test the relationships amongst knowledge management, social capital, and social media use. However, limited research examined relationships amongst all these constructs in the same research framework, and this research attempted to cover that gap. Thus, this research pays original contribution in the form of testing an extended model regarding the impact of social media use on companies’ performance involving the investigation of serial mediating effect of social capital, knowledge management, and innovation. Pakistan’s home appliance industry markets around 2500 electronic products and has 95% share domestically. Further, innovation and knowledge sharing are critical success factors for home appliance industry Therefore, this study was conducted for this industry and used survey method which resulted in 150 responses from the managers. The study finds that commercial social media’s use by companies impacts knowledge management through social capital; and a serial mediating impact of these constructs exists amongst social media use and organization performance. There are extremely limited studies for electronic companies in Pakistan given the concerned variables. Therefore they are helpful for the managers concerned as these findings suggest effective use of social media by electronic companies in particular to create better organizational knowledge and improve company performance.campaigns motivate citizens to pay for safe drinking water

Combined Impactof Knowledge Management and Total Quality Management on Innovation Performance: Insights from Indian IT Industry

Organizations are operating in an environment characterized by volatility, uncertainty, complexity and ambiguity. In such an environment an organization can attain sustained competitive advantage only through innovation. Innovation performance is the only effective yardstick that differentiates an ordinary organization from a world class one. Knowledge management is the process of creation and application of knowledge required for the attainment of organizational objectives. Total quality management stresses on continuous improvement to achieve organizational effectiveness. Despite the popularity of knowledge management, total quality management and innovation performance, empirical studies about the relationship between these variables is scant especially in Indian context. Present study attempted to find out the collective impact of knowledge management and total quality management on innovation performance in Indian IT industry. Data were collected from 219 employees working in 15 large IT organizations in Kerala by using simple random sampling technique. Results established that knowledge management and total quality management individually as well as collectively impact innovation performance. The significant influence on innovation performance is more when knowledge management and total quality management were combined. Results sensitize managers to create a differentiated management architecture that supports both knowledge management and total quality management simultaneously to foster innovation.

How effective leadership of knowledge management impacts organizational performance

The current article shows how transformational leadership influences knowledge management to improve organizational performance through better use of a firm’s internal resources. Transformational leaders not only directly impact knowledge management, they also foster more effective strategy implementation and information technology use, which positively contribute to the effectiveness of knowledge management as a driver of organizational performance. This study contributes to the literature by exploring a framework upon which to continue developing a more comprehensive understanding of the relationships between transformational leadership, knowledge management, a firm’s internal resources, and organizational performance. Furthermore, the current article contributes to the practice of management by identifying ways in which managers can build a high-performance organization through leadership and knowledge management.

Big Data Adoption and Knowledge Management Sharing: An Empirical Investigation on Their Adoption and Sustainability as a Purpose of Education

The aim of this paper to develop a model to measure sustainability for education and incorporate the literature big data adoption and knowledge management sharing in the educational environment. This paper hypothesizes that perceived usefulness, perceived ease of use, perceived risk, and behavioral intention to use big data should influence adoption of big data, while age diversity, cultural diversity, and motivators should impact knowledge management sharing. Therefore, knowledge management sharing influences behavior intention to use technologies and big data adoption would be positively associated with sustainability for education. This paper employed a version of TAM and motivation theory as the research framework and adopted quantitative data collection and analysis methods by surveying 214 university students who were chosen through stratified random sampling. Student's responses were sorted into the 11 study constructs and analyzed to explain their implication of sustainability on education. The data were then quantitatively analyzed using structural equation modeling (SEM). The results showed that perceived usefulness, perceived ease of use, perceived risk, and behavioral intention to use big data were significant determinants of big data adoption, while age diversity, cultural diversity, and motivators were significant determinants of knowledge management sharing. The knowledge management sharing, behavior intention to use technologies, and big data adoption succeeded in explaining 66.7% of sustainability on education. The findings and implications of this paper are provided.

Employee perception of impact of knowledge management processes on public sector performance

PurposeThe application of knowledge management (KM) is critical to public sector firm as it is to private sector firm. However, despite its significance, the academic enquiry of KM in public sector is at its nascent stage. This forms the motivation of the present work; this paper aims to analyze and understand the intricate relationship between KM processes and public sector firm performance in terms of operational, quality and innovation performance.Design/methodology/approachA comprehensive KM processes–performance framework consisting of seven constructs (four constructs of KM processes and three constructs of KM performance) and their underlying factors was developed through an extensive literature review. The employee perceptions of these seven constructs were captured on a five-point Likert scale using a country-wide survey in the UAE public sector. The 270 valid responses captured were then used to first validate the KM framework and then test the hypothesized relationships between KM processes and KM performance.FindingsThe findings show that all four KM processes (knowledge creation, knowledge capture and storage, knowledge sharing and knowledge application and use) had a positive and significant impact on operational, quality and innovation performance of public sector in the UAE.Research limitations/implicationsThe findings confirm the validity and reliability of all the seven constructs and their underlying factors and the assessment framework. Overall, this study fills a gap in the literature about applying/implementing a KM framework for the public sector and therefore significantly contributes toward the theoretical advancement of the field. However, the study does acknowledge the use of perceptual measures of individual employees as a limitation instead of more objective measures to capture the impact KM processes on KM performance.Practical implicationsThe strong and significant impact of KM processes on firm performance is expected to provide the impetus for practitioners and policymakers to implement and leverage from KM processes and improve firm performance in the public sector.Originality/valueA comprehensive development, validation and assessment of a KM framework for the public sector has not been attempted previously anywhere, let alone UAE, and hence constitutes the novelty of this work.

Relationship between knowledge management processes and performance: critical role of knowledge utilization in organizations

ABSTRACTThis study examines the relationship between knowledge management processes and its impact on knowledge management performance. A structural model of knowledge management processes showing the relationship of knowledge generation, knowledge sharing, knowledge storage, and knowledge utilization and its subsequent impact on organizational KM performance is proposed. The model is tested using data collected from 1068 individuals working in primarily service based organizations in Turkey. A split-sample methodology is used to validate our measurement model and to further test the structural model. The results indicate that knowledge utilization mediates the relationship between rest of the knowledge management processes and organizational knowledge management performance. Knowledge generation is found to directly impact knowledge management performance, in addition to having a mediated impact through knowledge utilization. The results also provide support for the hypothesized relationship that suggests that the impact of knowledge generation and knowledge sharing on knowledge utilization is mediated by knowledge capture.

Main dimensions that impact knowledge management and university-business-government collaboration in the Brazilian scenario

Purpose The purpose of this paper is to investigate how certain characteristics of the university–industry–government collaboration facilitate knowledge creation and management, hence innovation focusing on particularities of the Brazilian scenario. Design/methodology/approach As a conceptual basis, there are correlations between theories of knowledge management and the Triple Helix, a model referenced to university–industry–government cooperation. The research was conducted through a multiple case study at two National Institutes of Science and Technology (INCTs in Portuguese). Findings The main results show the importance of participation in the INCT program, as it enables the creation of an organizational structure with the coordinator’s leadership, who directs the flow of knowledge among organizations and stimulates innovation. Originality/value The choice of the topic is justified by the lack of studies on the identification and analyses of the main aspects of this type of collaboration in an integrated way.