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This study aims to explore the functions of policy-affiliated intermediaries and their roles in driving innovation in latecomers.

Latecomers have recently recognized the significance of an innovation ecosystem in transitioning to an innovation-driven economy. However, these countries encounter various market and system failures, making policy-affiliated transition intermediaries crucial in orchestrating innovation ecosystems. To achieve this, this study used a case study of a policy-affiliated intermediary and conducted interviews with 19 managers. The results from the content analysis revealed that innovation intermediaries in latecomers perform more comprehensive duties than those mentioned in the literature in the transition to innovation-based development.

Results show that the most important of policy-affiliated innovation intermediaries’ roles is orientation to the government and private sector market, attracting the participation of the private sector through the implementation of tax credits and the development of the corporate innovation ecosystem, developing science and technology parks, developing laboratory research infrastructure, supporting prominent and capable professors to create innovation networks, developing innovation zones around research institutions and leading universities and developing international scientific cooperation. These are new and important functions that innovation intermediaries should play in the transition process.

The research found that the innovation intermediary acts as a change agent in the mental model of other executive and decision-making bodies. Also result shows that this intermediaries can play more roles than what is mentioned in the literature for the development of innovation.

Health-related issues are widely covered in news agencies by medical and health journalists. The quantity, format and quality of their coverage influence the general public as well as policymakers and professions. Current studies and observations suggest that news agencies are more dominated by medical topics (disease, symptoms, epidemiology, treatment and medicines) than general public health issues (risk prevention, health protection, education and promotion). This study explores the causes of the current situation in Iran and generates solutions for supporting health-promoting media that may also prove beneficial for other countries.

A qualitative study was conducted to explore the coverage of health-related topics in selected news agencies. Stakeholders, including health journalists, health professionals and public relations staff at the Iranian Ministry of Health and Medical Education were interviewed. Data were collected until data saturation was reached. The transcripts of all the 17 interviews conducted were analyzed using conventional content analysis.

Four groups of causes were identified, including individual factors, organizational factors, socioeconomic factors and the different nature of medicine and public health. The participants proposed several solutions that were classified into three categories, including the empowerment of stakeholders through capacity development, organizational change and mutual communication and culture change.

Creating health-promoting media is a complex but urgent task, and providing a comprehensive and deep understanding of the dynamic interdependencies of the multiple factors at play in it and developing and implementing the most effective interventions for it requires a systematic approach.

The purpose of this study is to propose a control scheme based on state estimation algorithm to improve zero or low-voltage ride-through capability of permanent magnet synchronous generator (PMSG) wind turbine.

Based on the updated grid codes, during and after faults, it is necessary to ensure wind energy generation in the network. PMSG is a type of wind energy technology that is growing rapidly in the network. The control scheme based on extended Kalman filter (EKF) is proposed to improve the low voltage ride-through (LVRT) capability of the PMSG. In the control scheme, because the state estimation algorithm is applied, the requirement of DC link voltage measurement device and generator speed sensor is removed. Furthermore, by applying this technique, the extent of possible noise on measurement tools is reduced.

In the proposed control scheme, zero or low-voltage ride-through capability of PMSG is enhanced. Furthermore, the requirement of DC link voltage measurement device and generator speed sensor is removed and the amount of possible noise on the measurement tools is minimized. To evaluate the ability of the proposed method, four different cases, including short and long duration short circuit fault close to PMSG in the presence and absence of measurement noise are studied. The results confirm the superiority of the proposed method.

This study introduces EKF to enhance LVRT capability of a PMSG wind turbine.

Hospital solid waste may cause serious health hazards and impair the quality of life of the community through transmission of diseases and injury if not properly managed. Therefore, the purpose of this paper is to examine solid waste management practice (SWMP) in Obafemi Awolowo University Teaching Hospital Complex.

Primary data were collected for this study through interview and questionnaire administration. Systematic sampling technique was used to select 60 students, 13 staffs, 43 cleaners, 8 contractors, and a management staff for questionnaire administration. Data obtained were analyzed using frequency distribution, pictorial analysis, and factor analysis.

Findings established that solid wastes components generated in the hospital were not segregated in line with the directive of the World Health Organization. The study further established that the factors influencing SWMP accounted for 79.9 percent variance in the following proportion: available storage and collection facilities (30.94 percent), number of patients’ factors (17.86 percent), transportation factor (15.39 percent), human and material resource factors (8.33 percent), and disposal (7.36 percent).

The study therefore concludes that the effectiveness of SWMPs depends on the facilities and equipment, human resources capacity, and frequency of waste collection and disposal.

The application of knowledge management (KM) in government agencies is one strategy to deal with government problems effectively and efficiently. This study aims to identify KM readiness critical success factors (CSFs), measure the level of readiness for KM implementation, identify improvement initiatives and develop KM readiness models for government agencies. This model plays a role in the implementation of KM successful.

The level of readiness is obtained by calculating the factor weights of the opinions of experts using the entropy method. The readiness value is calculated from the results of the questionnaire with average descriptive statistics. The method for analysis of improvement initiatives adopts the Asian Productivity Organization framework. The model was developed based on a systems approach and expert validation.

Reliability testing with a Cronbach’s alpha value for entropy is 0.861 and the questionnaire is 0.920. The result of measuring KM readiness in government agencies is 75.29% which is at level 3 (ready/needs improvement). The improvement in the level of readiness is divided into two parts: increasing the value of factors that are still less than ready (75%) and increasing the value of all factors to level 4 (84%). The model consists of three main sections: input (KMCSFs), process (KM readiness) and output (KM implementation).

The first suggestion is that the sample of employees used in this study is still in limited quantities, that is, 50% of the total population. The second limitation is determining KMCSFs. According to experts, combining this study with factor search and correlation computations would make it more complete. The expert’s advice aims to obtain factors that can be truly tested both subjectively and objectively. Finally, regarding literature selection for future research, it is recommended to use a systematic literature review such as the preferred reporting items for systematic reviews and meta-analyses and Kitchenham procedures.

The management must also prioritize KMCSF according to its level and make KMCSF a key performance indicator. For example, at the priority level, active leadership in KM is the leading performance indicator of a leader. Then at the second priority level, management can make a culture of sharing an indicator of employee performance through a gamification program. The last point that management must pay attention to in implementing all of these recommendations is to collaborate with relevant stakeholders, for example, those authorized to draft regulations and develop human resources.

This study proposes a novel comprehensive framework to measure and improve KM implementation readiness in government agencies. This study also proposes a KMCSF and novel KM readiness model with its improvement initiatives through this framework.

Prior to the onset of the COVID-19 pandemic, women did nearly three-quarters of the world’s unpaid work. As institutional supports, including in-person school and community-based care for children, the elderly, and the disabled vanished early in the pandemic, many women’s caregiving responsibilities increased. In some cases, opportunities for paid employment disappeared due to layoffs and furloughs, while in others, paid work was no longer possible without access to the missing institutional supports. Either way, access to needed supports – financial, practical, and social – was diminished. The lapse of needed supports also had severe impacts on subgroups of women, including pregnant and post-partum women. A range of considerations – vaccine safety, social interaction and infection risk, disease severity – have posed serious challenges for pregnant and post-partum women. Across the board, women’s need for continuous access to better social, financial, and practical supports at home, in the community, and in the workplace was made even more evident by the COVID-19 pandemic.

This paper aims to show the proposed energy method for inductance calculation is valid for any number of poles, phases and any winding layout.

A two-dimensional (2-D) analytical energy-based approach is presented to calculate self-inductances and mutual inductances of brushless surface-mounted permanent-magnet machines.

The proposed calculation procedure is valid for brushless permanent-magnet machines with slotted or slotless stator structure. Comparisons between energy method and flux linkage method are presented based on simulation and experimental results. It shows that the energy method has an excellent agreement with the result obtained from finite element method (FEM) and experimental study.

This paper compares energy-based method with flux linkage method and FEM for inductance calculations in slotless and slotted permanent-magnet motors. The relations for inductance calculation are presented which are obtained based on 2-D analytical representation of magnetic field.

This study intends to add to the existing body of literature and provides a strong advocacy for the use of the computer-mediated corrective feedback by university lecturers in Nigeria and elsewhere. The purpose of this paper is to explore the perceptions and experiences of lecturers toward students' research project supervision using the computer-mediated corrective feedback, factors that facilitate its use, the most preferred computer-mediated corrective feedback types and the extent of its usage in project supervision.

This research relies on both the Dialectical Theory and the Unified Theory of Acceptance and Use of Technology. This study adopted the interpretivist philosophical paradigm. The case study approach of the qualitative design was used in this investigation. The research participants were selected using the multi-stage sampling procedure. In all, twenty-four (24) lecturers (four from each university, comprising 16 males and 8 females and their ages ranged from 37 years to 61 years) made up the study sample. In-depth interviews were held with these lecturers. The collected data were transcribed and coded and themes were generated based on the responses of research participants using inductive-thematic analysis (ATLAS.ti version 22).

The results indicated that lecturers' perceptions towards the computer-mediated corrective feedback in students’ research project supervision are positive, as they considered it flexible, speedy and economical. Users' personal and device-related factors affect the deployment of computer-mediated corrective feedback for students' research project supervision. E-mail, WhatsApp and Zoom are the three themes that emerged as computer-mediated corrective feedback types that lecturers adopt while supervising students’ research projects. Therefore, the study recommends that lecturers should take full advantage of computer-mediated corrective feedback in supervising students' research projects in lieu of the Fourth Industrial Revolution. Universities should also provide an enabling environment that facilitates computer-mediated corrective feedback.

Studies (outside Nigeria) have been conducted on CMCF using predominantly the experimental and the quantitative research designs in ascertaining the impact of this mode of feedback on students' writing performances. Other studies examined students' perceptions toward CMCF. However, little or no attention has been given to the use of CMCF in the supervision of students' research project writing, especially in Nigeria. Moreover, calls for more qualitative research into lecturer-student interactions and the assessment of educational issues have emerged in recent times. It is against this backdrop that this study explored university lecturers' perceptions and experiences of CMCF on students' research project supervision in Nigerian universities.

This research aims to extract Industry 4.0 technological building blocks (TBBs) capable of value generation in collaborative consumption (CC) and the sharing economy (SE). Furthermore, by employing a mixed methodology, this research strives to analyse the relationship amongst TBBs and classify them based on their impact on CC.

Due to the importance of technology for the survival of collaborative consumption in the future, this study suggests a classification of the auxiliary and fundamental Industry 4.0 technologies and their current upgrades, such as the metaverse or non-fungible tokens (NFT). First, by applying a systematic literature review and thematic analysis (SLR-TA), the authors extracted the TBBs that impact on collaborative consumption and SE. Then, using the Bayesian best-worst method (BBWM), TBBs are weighted and classified using experts’ opinions. Eventually, a score function is proposed to measure organisations’ readiness level to adopt Industry 4.0 technologies.

The findings illustrated that virtual reality (VR) plays a vital role in CC and SE. Of the 11 TBBs identified in the CC and SE, VR was selected as the most determinant TBB and metaverse was recognised as the least important. Furthermore, digital twins, big data and VR were labelled as “fundamental”, and metaverse, augmented reality (AR), and additive manufacturing were stamped as “discretional”. Moreover, cyber-physical systems (CPSs) and artificial intelligence (AI) were classified as “auxiliary” technologies.

With an in-depth investigation, this research identifies TBBs of Industry 4.0 with the capability of value generation in CC and SE. To the authors’ knowledge, this is the first research that identifies and examines the TBBs of Industry 4.0 in the CC and SE sectors and examines them. Furthermore, a novel mixed method has identified, weighted and classified pertinent technologies. The score function that measures the readiness level of each company to adopt TBBs in CC and SE is a unique contribution.

With the rapid advancement of technology, companies use new technologies to produce their products and services to maintain a competitive advantage. As companies alone cannot research and develop their technologies, they should use knowledge sources outside the organization that may exist throughout the world; hence, organizations need technology transfer. Because the success rate of technology transfer projects is low, the need to accurately assess and investigate the critical success factors of technology transfer projects is felt. In this regard, this study aims to identify and prioritize the critical success factors in technology transfer projects.

In this research, 56 critical success factor (CSF) were extracted from the context of the articles and were adjusted using experts’ opinions in different phases, as well as the fuzzy-Delphi approach. Finally, 15 factors were categorized in the form of steps of the technology transfer model: STAGE-GATE. In the next step, the set of criteria needed to prioritize CFSs was extracted from the literature and finalized with the help of the experts. Then, how each of the CSF influences the identified criteria was scored according to the organization’s export opinions. Finally, the priority of each key success factor was calculated using the additive ratio assessment (ARAS) method.

The results obtained for prioritization of the critical success factors show that experience in technology transfer in the transferee company, the existence of experienced technology transfer managers, sufficient organizational infrastructure and documenting project problems, achievements and experiences are four critical success factors of the technology transfer projects. Considering the long-term and short-term specific goals of the technology transfer process and the choice of technology in line with the company’s commercial strategy are also the critical success factors with the next priorities.

The combination of ARAS and step-wise weight assessment ratio analysis methods for identifying and prioritizing managerial decisions in the high-tech industries is a value of this research. Also, a combination of novel multi-attribute decision-making methods by the older framework of new product development is another contribution of this research.