Mental health knowledge management: critical success factors and strategy of implementation

Influence of Short Video Application on College Students' Mental Health under Big Data Monitoring Environment

Short videos are increasingly being consumed by college students as crucial content in the age of big data since they are a perfect fit for this medium. Therefore, college students should place a high value on the utilization of short movies. In this study, a neural network is utilized to create a mental health prediction model for college students. The neural network is trained using its self-learning capability to map out the relationships between different elements and mental health. The enhanced algorithm minimizes the production of candidate item sets to some amount, as well as the algorithm's time and space requirements, significantly decreasing the initialization time of the transaction set. According to the research, the test sample's pattern recognition accuracy was 81.29%, whereas the training sample's accuracy for pattern recognition was 83.37%. The analysis's finding is that the enhanced mining algorithm offers a fresh approach to educating college students about their health.

Effects of knowledge management on the management of health and social care: a systematic literature review

Purpose

The purpose of this study is twofold. First, it suggests that knowledge management (KM), as an academic discipline and managerial practice, provides valuable perspectives and tools to help health and social care management cope with both existing and future challenges. Second, it reviews the existing evidence on the effects of KM on the management of health and social care. Based on the results of the review, an evaluation framework for the effects of KM is proposed.

Design/methodology/approach

The literature review was conducted using the guidance of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement to search the Web of Science and SCOPUS databases. The search terms included “knowledge management”, “healthcare” and “effect.” Academic articles published between 2010 and 2020 were included.

Findings

The study identifies six main categories among the effects of KM on the management of health and social care as follows: enhanced understanding of customer needs, improved organizational performance, better targeted decision-making, improved quality of service, behavioral or cultural change and improved risk management.

Originality/value

This study contributes by summarizing the literature on the effects of KM on the management of health and social care and proposing avenues for future research in this area.

The tensions of defining and developing thought leadership within knowledge-intensive firms

Purpose

A major part of knowledge management for knowledge-intensive firms such as professional service firms is the increasing focus on thought leadership. Despite being a well-known term, it is poorly defined and analysed in the academic and practitioner literature. The aim of this article is to answer three questions. First, what is thought leadership? Second, what tensions exist when seeking to create thought leadership in knowledge-based organisations? Third, what further research is needed about thought leadership? The authors call for cross-disciplinary and academic–practitioner approaches to understanding the field of thought leadership.

Design/methodology/approach

The authors review the academic and practitioner literature on thought leadership to provide a rich oversight of how it is defined and can be understood by separating inputs, creation processes and outcomes. The authors also draw on qualitative data from 12 in-depth interviews with senior leaders of professional service firms.

Findings

Through analysing and building on previous understandings of the concept, the authors redefine thought leadership as follows: “Knowledge from a trusted, eminent and authoritative source that is actionable and provides valuable solutions for stakeholders”. The authors find and explore nine tensions that developing thought leadership creates and propose a framework for understanding how to engage with thought leadership at the industry/macro, organisational/meso and individual/micro levels. The authors propose a research agenda based on testing propositions derived from new theories to explain thought leadership, including leadership, reducing risk, signalling quality and managing social networks, as well as examining the suggested ways to resolve different tensions.

Originality/value

To the best of the authors’ knowledge, they are the first to separate out thought leadership from its inputs, creation processes and outcomes. The authors show new organisational paradoxes within thought leadership and show how they can play out at different levels of analysis when implementing a thought leadership strategy. This work on thought leadership is set in a relatively under-explored context for knowledge management researchers, namely, knowledge-intensive professional service firms.

Identifying and ranking CSFs for KM implementation in urban water and sewage companies using ISM-DEMATEL technique

Purpose

This paper aims to study the critical success factors (CSF) of knowledge management (KM) in Iranian urban water and sewage companies (IUWSC) using interpretive structural modeling (ISM)-decision-making trial and evaluation laboratory (DEMATEL) method.

Design/methodology/approach

Through the literature review among many key factors of KM success, nine factors were selected as the main factors. After confirming the related indices by industry experts, a questionnaire was distributed among them for determining the relationship between the relevant components. Using ISM-DEMATEL approach, a structural model was formed and then the causal relationship among factors was visualized through a cause-effect relationship diagram.

Findings

The analysis of the results showed that among the studied factors, strategies and goals would have the greatest impact on success of KM implementation and senior management support, and teamwork and organizational culture are other CSFs of KM in IUWSC. In the end, the author’s proposed model for implementation of KM was presented based on the results for the status quo of the studied community.

Practical implications

The set of CSFs can act as a guideline for organizations to ensure that basic factors and issues are covered during implementation KM. Moreover, it provides a clue for effective development of KM in a stepwise approach.

Originality/value

This survey is probably the first to provide an integrated view of CSFs for implementation KM in IUWSC. It is hoped to give valuable information to help this business sector to accomplish KM effectively.

A model for assessment of uncertainty in tacit knowledge acquisition

Purpose

Expert systems have come to the forefront in the modeling of problems. One of the major problems facing the expert system designers is to develop an accurate knowledge base and a meaningful model of uncertainty associated with complex models. Decision-making is based on knowledge, and decision system support needs a knowledge base as well. An adequate knowledge acquisition (KA) process leads to accurate knowledge and improves the decision-making process. To manage the risk of a medical service (twin pregnancy in this case) a knowledge management system was created. The captured knowledge may be associated with an uncertainty. This study aims to introduce a method for evaluating the reliability of a tacit KA model. It assisted engineering managers in assessing and prioritizing risks. The study tried to use this method in risk management and new case in the health domain.

Design/methodology/approach

In this study, relevant variables were identified in the knowledge management literature reviews and the domain of expertise management. They are validated by a group of domain experts. Kendall’s W indicator was used to assess the degree of consensus. On the basis of combined cognitive maps, a cognitive network was constructed. Using Bayesian belief networks and fuzzy cognitive maps, an uncertainty assessment method of tacit KA was introduced. To help managers focus on major variables, a sensitivity analysis was conducted. Reliability of model was calculated for optimistic and pessimistic values. The applicability and efficacy of the proposed method were verified and validated with data from a medical university.

Findings

Results show that tacit KA uncertainty can be defined by independent variables, including environmental factors, personality and acquisition process factors. The reliability value shows the accuracy of the captured knowledge and the effectiveness of the acquisition process. The proposed uncertainty assessment method provides the reliability value of the acquisition model for knowledge engineers, so it can be used to implement the project and prevent failures in vital factors through necessary actions. If there is not a satisficed level of reliability, the KA project reliability can be improved by risk factors. The sensitivity analysis can help to select proper factors based on the resources. This approach mitigated some of the disadvantages of other risk evaluation methods.

Originality/value

The contribution of this study is to combine the uncertainty assessment with tacit KA based on fuzzy cognitive maps and the Bayesian belief networks approach. This approach used the capabilities of both narrative and computational approaches.