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In this research, we investigate the capability level of technological construction for power plant equipment industries in Iran based on the development of a domestic model. In which we identify the strengths and weaknesses of technological capabilities and work to improve them.

In this research, we investigate the capability level of technological construction for power plant equipment industries in Iran based on the development of a domestic model. In this study, more than 80 industry experts have filled the questionnaire that was designed based on the AHP method to measure the technological level of the industry. The result has shown the overall technology level about 63.26%. Based on this investigation, the technical capability in this industry is in the “C” class. However, the strategic, R&D and innovation capabilities of the industry have ranked the highest in the dimensions of technological capabilities.

Because overall level of technological innovation capabilities in the industry is 63.50%, construction of power plant equipment industries in Iran is among the industries that are on the way to being strategic or class C industries. Industries in class C (strategic class) have proper insight into the way of promoting their technological capabilities. They are highly ability in project implementation and a strategic view of capability-building. Owing to a transparent priority attitude, these industries are able to formulate strategies and increase their internal capabilities in management and technical areas. Although industries in class C are able to react to new environment-orientated technological regulations quickly and effectively, they need a new policy for increasing innovation in leadership sections, and they need better access to capital and service goods. Class C industries take advantage of strategic awareness focused on the latest technologies required for mid and long term, and they need the support of other industries and institutions for development of technology among small- and medium-scale and other less-developed industries. These industries transcend technological boundaries in most areas and are able to turn into class D (innovative and creative) industries gradually. To this end, considering the ranking, strategic and R&D capabilities, as well as learning and innovation capabilities, rank the highest among other aspects of technological innovation capabilities for industries. Thus, the improvement projects of industries should be of a higher priority and implemented quickly.

This article can be used as a model developed for technology-based companies in the field of power plant and energy supply in developing countries.

Knowledge protection (KP) is one of the main knowledge management (KM) processes that aim to protect the organization’s knowledge from any inside and outside force leakage. In higher education institutions (HEIs), KP is rarely being discussed and covered in contrast to knowledge sharing (KS) in terms of its determinants. The purpose of this paper is to provide a deep analysis of previous research articles from 1980 to 2019 and examine the associated institutional factors on KP determinants within HEIs as a research objective.

The preferred reporting items for systematic reviews and meta-analysis was a well-established approach for analyzing the systematic literature review methodology. Several articles were published over the past decades collected from 5 different databases, but after the screening, 101 articles were reviewed and only 22 articles were relevant to the research objective.

The findings indicated that KP is under academic research topic in KM and has received minimal attention in HEIs compared to KS, which has been frequently studied in HEIs. The literature categorized KP determinants into four areas: technological, organizational structure, behavioral and ethics and organizational culture. It will open the door for academics to investigate further into the factors, theories and models of KP in general and HEIs from a particular perspective.

As evident from the paper finds, with few pieces of literature covered in this topic, HEIs have to protect the knowledge from any illegal usage or any expert’s knowledge loss after leaving the institutions. This study can help university leaders to understand how the different KP determinants can maximize KP without affecting the KS and develop the KP phenomenon for a strategic fit to enhance their institutions’ safe knowledge usage.

This is the first research of its type which has extensively examined the literature on KP related to HEIs. Also, this paper provides theoretical and practical insights through understanding the determinants that affect KP practices among academic staff.

This paper aims to investigate the potential relationship between depression, diabetes knowledge and self-care management with quality of life in diabetic patients.

This analytical cross-sectional study was conducted on 309 diabetic patients in Tabriz, Iran in 2015-2017. Quality of life was assessed by a validated questionnaire. The Persian version of the Beck Aeron questionnaire was used to assess the depression status. Knowledge and self-care management was evaluated by the health belief model questionnaire. Simple and multiple regression models were used to determine the relationship between the mentioned factors and the quality of life in diabetic patients.

Thirty-six per cent of the patients suffered from depression. The mean score of the total quality of life was 33.75 ± 8.72. The scores of the three domains of the quality of life were less than the normal range (“complication of diabetes” domain: 9.93 ± 3.16, “diagnosis, therapy and follow-up” domain: 10.91 ± 3.31, “psycho-social effect of diabetes” domain: 12.93 ± 4.41). The score of “complication of diabetes” score in males was significantly higher than females (p = 0.001). There was a significant relationship between depression (p < 0.001), self-care management (p = 0.019) and two parameters of knowledge (diet: p = 0.006 and diabetes: p = 0.004) with quality of life of diabetic patients.

The obtained results presented an unfavorable status of knowledge, physical and mental health in diabetic patients and a strong relationship between health-related factors with quality of life. Therefore, it is suggested to hold community-based health-promoting programs to enhance the overall life satisfaction in people with diabetes.

The main purpose of this study is to provide a comprehensive review and critical insights of the application of fuzzy methods in modeling, assessing and understanding the various aspects of green and sustainable supply chains (SSCs).

The present study conducts a systematic literature review (SLR) and bibliometric analysis of 252 research articles. This study employs various tools such as VOSviewer version 1.6.10, Publish or Perish, Mendeley and Excel that aid in descriptive analysis, bibliometric analysis and network visualization. These tools have been used for performing citation analysis, top authors' analysis, co-occurrence of keywords, cluster and content analysis.

The authors have divided the literature into seven application areas and discussed detailed insights. This study has observed that research in the social sustainability area, including various issues like health and safety, labor rights, discrimination, etc. is scarce. Integration of the Industry 4.0 technologies like blockchain, big data analytics, Internet of Things (IoT) with the sustainable and green supply chain (GSC) is a promising field for future research.

The authors' contribution primarily lies in providing the integrated framework which shows the changing trends in the use of fuzzy methods in the sustainability area classifying and consolidating green and sustainable supply chain management (SSCM) literature in seven major areas where fuzzy methods are predominantly applied. These areas have been obtained after the analysis of clusters and content analysis of the literature presenting key insights from the past and developing the conceptual framework for future research studies.