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Within a gated community, management of common property presents great challenges. Therefore, the diagnostic social ecological system (SES) framework proposed by Elinor Ostrom providing a holistic understanding of complex collective action problems in terms of management of commons is used to investigate key institutional-social-ecological factors influencing collective action in the context of gated communities.

In this paper, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was used to systematically screen and review the relevant literature from 2000 to 2022, where 28 papers were selected for further analysis.

The study systematically identifies and categorises a series of variables related to self-organizing management in the gated community, and consequently a SES-based gated community management framework is developed. Based on the conceptual framework, the paper discusses logical interrelationships of institutional-social-ecological factors and their impacts on collective action performance of gated communities.

Apart from requiring empirical validation, the conceptual SES-based gated community management framework is certainly subject to continuous improvement in terms of refinement and addition of other potential determinants of gated community collective action.

Not only the review paper provides updates on the latest gated-community collective action research, it also contributes theoretically by conceptualizing the SES framework and its institutional–social–ecological design principles in gated community management. Studying these factors should also be of practical significance because the findings ultimately offer policy insights and management strategies that help policy-makers, property developers and local communities to govern such neighbourhood common resources efficiently and sustainably.

Leaders, consultants and researchers are increasingly focused on enhancing the adoption of social networking tools to increase knowledge sharing practices and the success rate of organizations. This study was conducted to explore the adoption of social networking applications in public and private sector universities. This paper aims to discover how social networking applications can foster knowledge sharing practices among employees of universities.

The study is based on an interpretivist, qualitative research design using grounded theory. Fifty-two semi-structured and non-directive interviews were undertaken with employees of public and private sector universities. Participants were selected using purposive sampling, and thematic analysis was performed using the NVivo 11-Plus.

The study highlights how social media networking applications can be used effectively and efficiently to foster knowledge sharing practices in the workplace. Five emerging themes are identified as follows. Social media networking tools can enhance new knowledge, increase employee skills, promote a knowledge sharing culture, foster effective communication and increase employee involvement in research activities.

Social networking applications have received attention because executives and researchers are increasingly focused on finding new ways to use social networking tools in business. The effective and efficient use of social networking tools helps organizations to foster knowledge amongst employees, and can address various critical issues such as knowledge hoarding, lowers levels of skills and knowledge, poor communication and employee involvement, the lack of desire to share knowledge, and resistance toward technology.

A brief systematic literature review on social media and knowledge sharing highlights that only 11 per cent of studies found that examined the link between social media and knowledge sharing practices across the world. The study therefore represents an effort to shed new light on the adoption of social networking tools in the context of knowledge sharing among universities employees. Social media applications have become popular across the world, and the speed of their uptake is evolving rapidly. However, their contribution toward organizational change is not yet known.

Peer reviewer evaluations of academic papers are known to be variable in content and overall judgements but are important academic publishing safeguards. This article introduces a sentiment analysis program, PeerJudge, to detect praise and criticism in peer evaluations. It is designed to support editorial management decisions and reviewers in the scholarly publishing process and for grant funding decision workflows. The initial version of PeerJudge is tailored for reviews from F1000Research's open peer review publishing platform.

PeerJudge uses a lexical sentiment analysis approach with a human-coded initial sentiment lexicon and machine learning adjustments and additions. It was built with an F1000Research development corpus and evaluated on a different F1000Research test corpus using reviewer ratings.

PeerJudge can predict F1000Research judgements from negative evaluations in reviewers' comments more accurately than baseline approaches, although not from positive reviewer comments, which seem to be largely unrelated to reviewer decisions. Within the F1000Research mode of post-publication peer review, the absence of any detected negative comments is a reliable indicator that an article will be ‘approved’, but the presence of moderately negative comments could lead to either an approved or approved with reservations decision.

PeerJudge is the first transparent AI approach to peer review sentiment detection. It may be used to identify anomalous reviews with text potentially not matching judgements for individual checks or systematic bias assessments.

The purpose of this case study is to report and reflect on a recently completed five-year programme of research on dementia care and practice in England. This EVIDEM programme of research was specifically designed to influence services for people with dementia and their carers; several additional lessons emerged along the way that might shape broader research on ageing that includes older people and those who work with them.

This case study of the EVIDEM programme presents and discusses four lessons learned by the core research team – covering the implications of newly basing research inside the NHS, multi-disciplinary working across academic disciplines, communicating with diverse practitioners, and the impact of patient and public involvement on the research process. The paper reflects on communication between the NHS and academic communities, and the creation of new research capacity in dementia.

Collaborative working between academic disciplines is possible, given willing researchers and commitment to participating in frequent opportunities for dialogue and learning. In research in dementia these foundations are probably essential, given the growing scale of the problem and the small size of the research community, if we are to have a beneficial impact on people's lives. Lay expertise is a necessary ingredient of research programmes, not just for its co-design power, but for its ability to redesign projects when major problems arise.

This case study reports the subjective views of the research collaborators. While this raises the potential for bias, it offers an “insider” perspective of the research process and engagement in research leadership.

There are few reflections on research processes and management and this case study may be useful to academic researchers, to those working in the NHS with responsibility for research in different forms, and to older people's organisations who wish to hear of the value of older people's engagement in research advisory activity.

Decision support systems developed using machine learning classifiers have become a valuable tool in predicting various diseases. However, the performance of these systems is adversely affected by the missing values in medical datasets. Imputation methods are used to predict these missing values. In this paper, a new imputation method called hybrid imputation optimized by the classifier (HIOC) is proposed to predict missing values efficiently.

The proposed HIOC is developed by using a classifier to combine multivariate imputation by chained equations (MICE), K nearest neighbor (KNN), mean and mode imputation methods in an optimum way. Performance of HIOC has been compared to MICE, KNN, and mean and mode methods. Four classifiers support vector machine (SVM), naive Bayes (NB), random forest (RF) and decision tree (DT) have been used to evaluate the performance of imputation methods.

The results show that HIOC performed efficiently even with a high rate of missing values. It had reduced root mean square error (RMSE) up to 17.32% in the heart disease dataset and 34.73% in the breast cancer dataset. Correct prediction of missing values improved the accuracy of the classifiers in predicting diseases. It increased classification accuracy up to 18.61% in the heart disease dataset and 6.20% in the breast cancer dataset.

The proposed HIOC is a new hybrid imputation method that can efficiently predict missing values in any medical dataset.

Introduces the special issue on personnel economics and outlines the themes discussed in the papers contained within.

The proliferation of studies on leadership competencies have not yet provided a consistent set to guide the work of researchers and practitioners. This paper aims to generate a clear, literature-based overview of the relevant leadership competencies for the twenty-first century.

The paper is an integrative literature review and identifies four strands of literature on leadership, reaching back to traditional works. It reviews each strand to establish which leadership competencies remain relevant for the twenty-first century.

This paper shows it is essential to clarify and harmonize terminology used in leadership literature. It identifies 18 groups of leadership competencies required for the twenty-first century. The research reveals that leaders of the twenty-first century must be able to combine a strong concern for people, customer experience, digitalization, financialization and the general good.

This paper is based on a non-exhaustive list of literature derived from studies published in Western journals, written in English. Future research should include papers beyond the confines of Western academia and entail fieldwork to test the comprehensive framework derived here.

This paper will help practitioners develop leadership training curricula and transform the leadership culture in their organizations. The competency list can be useful in recruitment and selection processes for leadership positions. Professionals will find it helpful as an index in self-diagnosis and personal development for their career decision choices.

The paper addresses the growing need for clarity on the required leadership competencies for the twenty-first century.

The problem of poverty in the Muslim world has been posing multi-faceted challenges to the life of individuals and the relations of people. Although this problem has been gaining scholarly attention and raised in relation to various issues ranging from social injustice, rampant corruption, societal instability, wide social polarization and insurgent movements that affect the regional peace and stability at large, neither effective economic mechanism proposed nor implemented to address the problem effectively. In this regard, it is also important to appreciate the recent initiations in the field of Islamic economics to present an optional view to the existing and alien economic models in the Muslim world. Therefore, the purpose of this study is to fill up this research gap by proposing a model of mobilizing funds through the global cash-waqf institution.

The study adopts content analysis to construct this global cash waqf model for poverty alleviation in Muslim countries.

The “global cash-waqf model” was proposed as an alternative that could be implemented and used to overcome the poverty matter in Muslim countries. It is assumed that the model will facilitate the fund mobilization among Muslim countries, which in return is going to assure full distribution and redistribution of wealth to eradicate the poverty in the Muslim world. The model was structured with a global vision in both the collection side and the distribution side.

The model will facilitate the fund’s mobilization among Muslim countries, which in return achieves an Islamic goal of distribution and redistribution of wealth to assure the well-being of all humanities in the society.

Ponders on whether Abraham Flexner was responsible for the change in medical education in North America in the early 20th century, owing to his report of 1910. Tries to demonstrate that medical education in the USA was part of a greater whole of major changes at that time. Concludes, though there was a philanthropic influence, Flexner (who refused to accept credit for change) was not the father of the medical reform plan.

This paper proposes an integrated approach for assessing innovation management practices using an innovation management assessment framework, with the application of the innovation management assessment framework at the incubation and firm level.

Innovation management assessment framework is developed, based on the literature review. An innovation management assessment framework toolkit for training innovation practitioners is proposed as the basis for the framework implementation in the industry. The main approach is to make close alignment of the design for lean six sigma phases within broader innovation and stage-gate model in the innovation management assessment framework.

The operationalization of the innovation management assessment framework is enabled and supported by an assessment framework and a toolkit for managing innovation.

A roadmap for innovation management and assessment of performance at incubatee/firm level.

It provides a tool for developing innovative products and services for incubatees in start-ups, thus fueling the economy. It also has applications for ongoing established businesses.

Innovation of new business development can be made through a well-designed and implemented innovation programme that is aligned with stage-gate and design for lean six sigma phases through the innovation management assessment framework.