A Proposed Factors Affecting Knowledge Management Effectiveness: State of the Art and Direction for Future Work

Knowledge is the source of competitive advantage and optimal performance. Researchers have inconclusive findings regarding the factors that constitute the knowledge management (KM) effectiveness and their effects on organizational measures such as innovation and competitive advantage. The purpose of this study is to review and integrate the literature to identify the factors that affect the KM effectiveness. A total of fifteen articles are reviewed. The findings indicate that knowledge process capabilities such as knowledge acquisition, knowledge sharing, knowledge application, and knowledge protection are more important than the knowledge infrastructure capabilities. In addition, knowledge sharing is the most important factor that affects the KM effectiveness. The findings also show that 88% of studies are conducted in business organizations with 88% using quantitative approach. The respondents of reviewed articles are managers and postgraduate level employees. Directions of future work include scope, respondents, location, and approach. Keywords: Knowledge Management, KM CAPABILITIES, Review of KM, KM effectiveness, Organizational Performance

Knowledge management systems success model for higher education institutions: a partial least square approach

The implementation of Knowledge Management (KM) in various organizations including higher education institutions (HEIs) have provided significant benefits in making the best use of knowledge in meeting organizational strategic objectives.This study reports the findings of the factors that influence the success of knowledge management systems (KMS) in higher education institutions (HEIs).The KMS success model for HEIs was proposed and tested to 204 academicians in Malaysian public universities using partial least square approach. Out of seventeen hypotheses, fifteen hypotheses were supported. It was found that perceptions of usefulness of KMS and satisfaction levels of academicians play important roles in determining KMS success in higher education.These perceptions require the support of organizational factors such as leadership, incentive, culture of sharing, subjective norm, and training.The KMS success model developed in this study can help stakeholders in implementing successful KMS in higher education

Investigating the relationship between knowledge management practices and organizational learning practices in the universities’ environment

The concept of knowledge management (KM) and organizational learning (OL) has been embraced by organizations to complement each other. Higher education institutions have embraced KM and OL as a means to improve organizational efficiency. This research explores the link between KM and OL. The target population included all the 432 academicians and administrators from 35 public universities in Iraq. The sampling was selected using a stratified random sampling technique. The correlation among the components of KM and OL was tested as well as the effect of KM components on OL. The findings were derived using smart partial least square. The findings showed that there is significant correlation between components of KM and components of OL. The regression analysis showed also that the effect of KM and its components; knowledge creation, knowledge sharing, knowledge storage, knowledge application and knowledge acquisition on OL are significant. These findings provide insights to universities management on strategies to implement KM practices that can align with OL practices to assure dynamic lifelong mechanisms for the basic daily activities such as teaching, learning, researching, and supervision

Knowledge management initiatives in contact centre: a case study in Tenaga Nasional Berhad

This paper reports the results of a qualitative study of KM in World Class Contact Centre (WCCC) of Tenaga Nasional Berhad (TNB).This study uses data collected through interviews, discussions and documents obtained from managers and agents of WCCC as well as observations of the WCCC operation.Through these initiatives, several outcomes have been identified that bring benefits to the agents such as the increase in knowledge competency, up-to-date information, and improved level of confidence of contact centre agents.WCCC received many awards from internal and international association as a result of their efforst in providing a world class customer service to their customers, which can be observed through the Customer Satisfaction Index (CSI) score

Proposing a KMS Success Model for Healthcare

Knowledge Management Systems (KMS) have been employed by organizations to facilitate knowledge sharing. However, previous studies have found that the implementation of KMS is often unsuccessful due to the reluctance of employees to use these systems to share knowledge. This study is intended to examine the factors potentially influencing knowledge sharing which may also affect the success of knowledge management systems (KMS), and to explore the relationships between these factors. The focus of this study is the success of KMS in healthcare, since there is little research in this area. The research model is proposed as an improvement to the existing KMS Success Model by considering some external factors that may influence knowledge sharing. A better understanding of the factors that motivate knowledge sharing would encourage more use of KMS and would provide better development of KMS in healthcare. Further empirical research will be conducted to test and validate the model

An Integrated Success Model of Internet of Things (IoT)-Based Services in Facilities Management for Public Sector

The rapid growth of the Internet of Things (IoT) has vigorously affected government by enhancing quality and efficiency of public services. However, the application of IoT-based services in public sectors is slow, despite its benefits to citizens. Research is needed to deepen understanding of the factors that influence the successful implementation of facilities management as the Internet-of-Things-based services in public sectors. An integrated model is developed and validated to extend the DeLone and McLean IS success model by including technology readiness and other identified factors which impact the use of facilities management of IoT-based services in public sectors from the perspective of employees. An online questionnaire was developed and distributed to employees from all local authorities throughout Malaysia, and 187 usable responses were collected. The partial least squares structural equation modelling approach was used to test the model, with 90.8% of the variance in IoT-based services, suggesting an acceptable model fit with seven out of nine hypotheses were supported. Thus, the empirical evidence exerts significant effects of technology readiness towards the success of IoT-based facility management in the public sector

A Systematic Review of Internet of Things Adoption in Organizations: Taxonomy, Benefits, Challenges and Critical Factors

Despite the evident growth of the Internet of Things (IoT) applications, IoT deployments in organizations remain in their early stages. This paper aims to systematically review and analyze the existing literature on IoT adoption in organizations. The extant literature was identified using five electronic databases from 2015 to July 2021. Seventy-seven articles have met the eligibility criteria and were analyzed to answer the research questions. This study produced a coherent taxonomy that can serve as a framework for future research on IoT adoption in organizations. This paper presents an overview of the essential features of this emerging technology in terms of IoT adoption benefits and challenges in organizations. Existing theoretical models have been analyzed to identify the factors that influence IoT adoption and to understand the future requirements for widespread IoT adoption in organizations. Six critical factors affecting and playing a key role in IoT adoption in organizations were identified based on the critical review findings: technological, organizational, environmental, human, benefit, and value. Decision-makers and developers can prioritize these critical factors and progressively improve their development to enhance IoT adoption efficiency. This review also includes an in-depth analysis to bridge gaps and provide a comprehensive overview to further understand this research field

The Mediating Role of Absorptive Capacity in the Relationship between Research Community Participation and Open Innovation

This study aims to investigate the factors influencing research community participation and open innovation through the mediating role of absorptive capacity from the lens of Resource Based View and Dynamic Capability perspectives. Based on a survey of 115 senior engineering faculties from three research universities in Malaysia, this study applies the Structural Equation Modelling (SEM) to investigate the research model. The findings demonstrate that top management support has a major impact on research community participation. The findings also suggest that absorptive capacity mediates the association between research community participation and open innovation capability. This study provides a theoretical basis on the resources and capability that are pertinent for open innovation. From a practical perspective, the relationships among research community participation, absorptive capacity, and open innovation suggest how universities can promote research community participation and assess their absorptive capacity to achieve open innovation

User Engagement and Abandonment of mHealth: A Cross-Sectional Survey

Mobile health (mHealth) apps have great potential to improve health outcomes. Given that mHealth apps have become ubiquitous, there is limited focus on their abandonment. Data concerning crucial metrics, including reasons for adoption and discontinued use, are limited. This study aims to gain broad insights into utilization of mHealth and game-like features promoting user engagement. We conducted a cross-sectional survey of 209 mHealth users worldwide. The 17-item survey assessed sociodemographics, as well as the key motivators for mHealth uptake and discontinued use. Our findings show that sports and fitness activity tracking were the most common categories of health apps, with most users engaging with them at least several times a week. Interestingly, the most downloaded mHealth apps among younger adults include MyFitnessPal, Fitbit, Nike Run Club, and Samsung Health. Critical drivers of abandonment of mHealth apps were amotivation, loss of interest, and experimenting with different apps to identify the most suitable tool. Additionally, the financial cost of mHealth apps is crucial, with most participants advocating for free or more affordable apps. The study findings suggest that while many individuals utilize mHealth, several factors drive their abandonment. Moreover, data indicate that mHealth developers need to consider gamification strategies to sustain user commitment, as well as psychological variables, such as intrinsic motivation