26,286 research outputs found

    Drivers and barriers of university social responsibility: integration into strategic plans

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    The implementation of University Social Responsibility (USR) in its strategic plans is a subject of great social interest. However, the lack of understanding produces deficient stakeholder’s engagement, obstructing USR applications and potential benefits. USR in a formal context and as part of strategy should be a path that leads to its fulfilment. A Delphi method was used and several experts have participated in it. Results show that USR is related to student’s issues, among main drivers are to work under a code of ethics and acquire civic competences as a part of their vocational training. Among barriers to be involved in social responsibility activities is the lack of engagement of university community. The insufficient communication into the university community is mentioned as one of the main obstacles to incorporate USR into strategic planning. Relevance of this work relies on the holistic points of views of the results.Postprint (author's final draft

    The ecological system of innovation: A new architectural framework for a functional evidence-based platform for science and innovation policy

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    Models on innovation, for the most part, do not include a comprehensive and end-to-end view. Most innovation policy attention seems to be focused on the capacity to innovate and on input factors such as R&D investment, scientific institutions, human resources and capital. Such inputs frequently serve as proxies for innovativeness and are correlated with intermediate outputs such as patent counts and outcomes such as GDP per capita. While this kind of analysis is generally indicative of innovative behaviour, it is less useful in terms of discriminating causality and what drives successful strategy or public policy interventions. This situation has led to the developing of new frameworks for the innovation system led by National Science and Technology Policy Centres across the globe. These new models of innovation are variously referred to as the National Innovation Ecosystem. There is, however, a fundamental question that needs to be answered: what elements should an innovation policy include, and how should such policies be implemented? This paper attempts to answer this question.Innovation; Delphi Method; Balanced Scorecard; Quadruple Helix Theory; Analytic Hierarchy Process; Ecological System of Innovation, Framework, Systems Dynamics

    Development of predicting model for safety behaviour based on safety psychology and working environment

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    The increasing trend of occupational accident due to unsafe act and unsafe condition especially in construction site suggests the need for more proactive safety assessment model. Therefore this research aimed to establish a prediction model of safety behaviour based on safety psychology and working environment factors in construction site. Theory of Planned Behaviour (TpB) was adapted to examine on the prediction model of safety behaviour among construction workers using safety psychology representing unsafe act and working environment factors representing unsafe condition. A modified perception questionnaire named Safety Psychometric Model (SPM) was proposed based on TpB questionnaire and safety attitude questionnaire (SQA). Previously, the approach has successfully applied in health care and manufacturing sector. The questionnaire has been validated by three industrial and academic experts. A total of 554 respondents among 92 construction site were selected as the subjects for analysis. Structural Equation Modelling (SEM) and Statistical Package for the Social Science (SPSS) was use for analysis purpose which involve correlation, regression and structural equation analysis. The results demonstrated that safety psychology and work environment factor was related positively with safety behaviour intention. The elements of workers’ attitude, subjective norm and perceived control that form the safety psychology context found to be significantly has the ability to predict safety behaviour. The demographics variances of personal and education background, working experiences and training background also determine as the factors of safety behaviour of the construction workers. The research also successfully established a safety behaviour prediction model that named Safety Psychometric Model. The model can be benefited by safety practitioners, organizations and researchers to explore the safety behaviour prediction. It also enhanced the knowledge in the area of employee behaviour prediction and modelling

    Catalysts of university social responsability into strategic planning by thematic analysis and deductive coding

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    The relevance of higher education institutions (HEI) for social development is unquestionable because of their potential for contributing intellectual solutions for the social, economic, and environmental welfare of society. The current study aims to: 1) examine which are the main catalysts of university social responsibility (USR) from a strategic management perspective; 2) show the relations among those catalysts through semantic networks; and 3) analyse the role of university promotion of entrepreneurship. The method uses a content analysis in a sample of 23 universities and examines the subject and codes to clarify the catalysts. The semantic networks are shown to reveal these connections. It was found that a high percentage of universities orient their efforts towards enhancing the employability of students, mainly through entrepreneurial projects intended to achieve social responsibility.Postprint (author's final draft

    Designing intelligent computer‐based simulations: A pragmatic approach

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    This paper examines the design of intelligent multimedia simulations. A case study is presented which uses an approach based in part on intelligent tutoring system design to integrate formative assessment into the learning of clinical decision‐making skills for nursing students. The approach advocated uses a modular design with an integrated intelligent agent within a multimedia simulation. The application was created using an object‐orientated programming language for the multimedia interface (Delphi) and a logic‐based interpreted language (Prolog) to create an expert assessment system. Domain knowledge is also encoded in a Windows help file reducing some of the complexity of the expert system. This approach offers a method for simplifying the production of an intelligent simulation system. The problems developing intelligent tutoring systems are examined and an argument is made for a practical approach to developing intelligent multimedia simulation systems

    Improving Indonesia's Forest and Land Governance: Using a Delphi Approach to Identify Efficacious Interventions

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    It is now recognized that addressing deforestation and forest and peatlands degradation and destruction in Indonesia requires improvements to land and forest governance. It is also accepted that further research is required into this large field of study and practice. In particular needs have been identified for better links between theory and practice, and between academic analysis and work in the field. To respond to this gap, this study investigates the underlying drivers of deforestation, and forest and peatlands degradation and destruction (herein called deforestation and peatlands degradation) with the intention of identifying interventions that will improve land and forest governance in Indonesia. Through a Delphi process, a panel of experts on forest and land governance identified three main drivers of deforestation and peatlands degradation. These were: (1) unclear land tenure and uncertain land classification (agreed by 88% of respondents); (2) business and political interests that influence policy-making and regulations (70% agreement) and (3) ineffective land use planning (53% agreement). In response, the panel recommended three priority governance interventions relating to the following issues: (1) increasing the capacity of local communities to manage and monitor forests and natural resources (65% agreement); (2) gazetting forests to clarify land boundaries and determine which areas should be village, community and state forest zone (58% agreement); (3) integrating participatory maps into spatial plans to protect local communities and indigenous peoples' development needs (53% agreement). A research theme with the highest agreement was the following: action research involving the government, private sector and community (64% agreement). This study finds that there is strong support for community level approaches to forest management. Securing community forest tenure through clarifying land claims and integrating local land tenure into spatial planning is a key step to achieving sustainable forest management. The concluding recommendations suggest that the most efficacious interventions to be taken by researchers, government, donors and civil society to improve Indonesia's forest and land governance processes include: Support community institutions; Accelerate forest gazettement using local community institutions to clarify community forest claims; Integrate participatory maps into spatial plans; Support local communities' ability to monitor forests; Conduct action research involving all stakeholders; Address financing of the forest and land sector; Engage political economy analysis

    GResilient index to assess the greenness and resilience of the automotive supply chain

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    Purpose: The purpose of this paper is to suggest an Index entitled GResilient Index to assess the greenness and resilience of the automotive companies and corresponding supply chain. Design/methodology/approach: An integrated assessment model is proposed based on Green and Resilient practices. These practices are weighted according to their importance to the automotive supply chain competitiveness. The Delphi technique is used to obtain the weights for the focused supply chain paradigms and corresponding practices. The model is then tested using a case study approach in the automotive supply chain. Findings: The case study results confirmed the applicability of this Index in a real-world supply chain. The results show that the Resilient supply chain management paradigm is the one considered as the one that more contributes for the automotive supply chain competitiveness. Research limitations/implications: The proposed Index was developed in the automotive sector context therefore it could not be adjusted to a different one. Future research could consider other aggregation methods for the Index construction. Practical implications: Supply chain participants will be able to evaluate the performance of their companies or supply chain in terms of Green and Resilient paradigms. Also, the Index can be effectively employed for functional benchmarking among competing companies and supply chains.Green; resilient; supply chain management; index; automotive industry

    Enablers and Constraints in Implementing Lean Manufacturing: evidence from Brazilian SMEs

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    Lean Manufacturing has revolutionized the global manufacturing environment at an unprecedented rate. In scholarly and managerial literature, many works have reported that Lean Manufacturing is a very efficient approach and a straightforward way towards process improvements, in terms of productivity and value adding activities ratio. However, many studies on Lean Manufacturing have highlighted many problems in its implementation. The analysis carried out within the research project is aimed to the factors enabling or constraining the Lean Transformation of a firm’s production system, along with the most relevant tools or practices to be applied. The research methodology used is the so-called “Normative Delphi” with a panel formed by 32 experts coming from 16 Brazilian SMEs. Our results are partially consistent with what has already been discussed in the literature and we found that the most relevant tools/practices are: value stream mapping, 5S methodology, and Kaizen (Gemba walks); the top three enabling factors are: knowledge and sponsorship of senior management, focus on continuous improvement, and employee development fostered by the company; finally, the main critical constraints are: little support from the top management, resistance to change by middle management, and poor or non-qualified Lean training activities

    Preferred reporting items for studies mapping onto preference-based outcome measures: The MAPS statement

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    'Mapping' onto generic preference-based outcome measures is increasingly being used as a means of generating health utilities for use within health economic evaluations. Despite publication of technical guides for the conduct of mapping research, guidance for the reporting of mapping studies is currently lacking. The MAPS (MApping onto Preference-based measures reporting Standards) statement is a new checklist, which aims to promote complete and transparent reporting of mapping studies. The primary audiences for the MAPS statement are researchers reporting mapping studies, the funders of the research, and peer reviewers and editors involved in assessing mapping studies for publication. A de novo list of 29 candidate reporting items and accompanying explanations was created by a working group comprised of six health economists and one Delphi methodologist. Following a two-round, modified Delphi survey with representatives from academia, consultancy, health technology assessment agencies and the biomedical journal editorial community, a final set of 23 items deemed essential for transparent reporting, and accompanying explanations, was developed. The items are contained in a user friendly 23 item checklist. They are presented numerically and categorised within six sections, namely: (i) title and abstract; (ii) introduction; (iii) methods; (iv) results; (v) discussion; and (vi) other. The MAPS statement is best applied in conjunction with the accompanying MAPS explanation and elaboration document. It is anticipated that the MAPS statement will improve the clarity, transparency and completeness of reporting of mapping studies. To facilitate dissemination and uptake, the MAPS statement is being co-published by eight health economics and quality of life journals, and broader endorsement is encouraged. The MAPS working group plans to assess the need for an update of the reporting checklist in five years' time. This statement was published jointly in Applied Health Economics and Health Policy, Health and Quality of Life Outcomes, International Journal of Technology Assessment in Health Care, Journal of Medical Economics, Medical Decision Making, PharmacoEconomics, and Quality of Life Research
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