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1 – 4 of 4Tika Widiastuti, Sulistya Rusgianto, Imron Mawardi, Sunan Fanani, Mohammad Mahbubi Ali, Muhammad Ubaidillah Al Mustofa and Aufar Fadlul Hady
This study aims to propose priority solutions for mitigating the impact of the Covid-19 pandemic through the Social Safety Net (SSN) based on the Islamic objectives.
Abstract
Purpose
This study aims to propose priority solutions for mitigating the impact of the Covid-19 pandemic through the Social Safety Net (SSN) based on the Islamic objectives.
Design/methodology/approach
The analytic network process method is used in this study. Focus group discussions and in-depth interviews with relevant stakeholders were used to collect data and supplemented by a literature review to explore comprehensive information.
Findings
The findings indicate different opinions among experts, including regulators, practitioners, associations and academics regarding the most important priority solutions to the impact of Covid-19. However, experts agree that the highest priority solution is the SSN program in the lineage sector, specifically the distribution of the Family Hope Program. A program in the field of protecting the mind is the second priority solution. The program in the field of soul and wealth is the third priority solution.
Originality/value
This study contributes to the development of government policy to deal with the socioeconomic impact of Covid-19 based on the Islamic objectives by mapping the SSN through the five elements of protection, namely, faith, soul, mind, lineage and wealth protection based on priority solution.
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Mohammad Alhusban, Faris Elghaish, M. Reza Hosseini and Mohammad Mayouf
Previous studies have established to a great extent that regulatory frameworks and, in particular, procurement approaches – that are common in a particular context – have a major…
Abstract
Purpose
Previous studies have established to a great extent that regulatory frameworks and, in particular, procurement approaches – that are common in a particular context – have a major impact on the success of building information modelling (BIM) implementation in construction projects. Despite the close links between these two concepts, research on the effect of procurement approaches on BIM implementation is scarce. To address this gap, this paper aims to investigate the barriers that affect BIM implementation through the lens of procurement approaches.
Design/methodology/approach
A mixed-method approach was adopted using a questionnaire survey (n = 116) and interviews with key stakeholders (n = 12) in Jordan. The outcomes of the quantitative parts were augmented with findings from interviews.
Findings
It was revealed that the deployment of unfavourable construction procurement approaches represents a major hurdle towards BIM implementation. Though essential for enhancing BIM implementation, it is revealed that a fundamental change from the common design-bid-build (DBB) to more collaborative procurement approaches remains infeasible in view of the realities that govern the construction industry.
Research limitations/implications
It was revealed the deployment of unfavourable construction procurement approaches represents a major hurdle towards BIM implementation. Though essential for enhancing BIM implementation, it is revealed that a fundamental change from the common DBB to more collaborative procurement approaches remains infeasible given the realities that govern the construction industry.
Originality/value
As the first of its kind, a set of recommendations for establishing supportive, workable procurement that does not deviate significantly from common procedures and practices is presented. Rather than advocating a shift to procurement approaches that are aligned with BIM, the findings offer novel insight into the necessity of developing a framework within the boundaries of the current and widely adopted procurement approaches to address the identified construction procurement issues and facilitate BIM implementation.
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Assunta Di Vaio, Badar Latif, Nuwan Gunarathne, Manjul Gupta and Idiano D'Adamo
In this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management…
Abstract
Purpose
In this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.
Design/methodology/approach
Using the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.
Findings
The results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.
Research limitations/implications
The study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.
Practical implications
This research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.
Originality/value
This study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.
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Mohamad Handi Khalifah, Rahmatina Awaliyah Kasri and Hakan Aslan
The increasing number of papers on zakah shows that it has become an important research topic. However, few studies attempt to analyze the evolution of zakah studies which might…
Abstract
Purpose
The increasing number of papers on zakah shows that it has become an important research topic. However, few studies attempt to analyze the evolution of zakah studies which might be helpful as guidance for policymakers in creating zakah management systems and policies, for zakah management organizations administering zakah funds, for future research on related subjects and for academic actors to construct a zakah study curriculum. This study aims to conduct a bibliometric analysis of the evolution of zakah theme publications from 1964 to 2021.
Design/methodology/approach
This study uses bibliometric analysis to analyze the evolution of zakah research. This study compared all Scopus-indexed journal papers to Zakah publications regarding research flow, themes, abstracts and titles. The relationships between researchers, the titles of the papers and keywords associated with “zakah” are analyzed in these publications published between 1964 and 2021. A total of 632 scientific contributions were discovered using RStudio and VOSviewer to analyze the bibliometric metadata.
Findings
Based on the results, the theme of zakah has evolved from 1964 to 2021. The author emphasizes the zakah publication theme. Each affiliation and country have its conditions, management method, data sources and characteristics. The theme “zakah institutions and zakah collecting” grew in popularity between 2010 and 2021 and is projected to grow in the following years. Malaysia, Indonesia and Pakistan can be used as zakah development research models. In spans of zakah publications, the author with the most global citations is Wahab N.A., and the author with the most productive is Saad Raj.
Research limitations/implications
Zakah publications are analyzed using the Scopus database. This study applied only Scopus index data, excluding non-Scopus, and most studies conducted in non-English languages. This conclusion indicates the issue’s importance among academic researchers and practitioners, notably on the subject of zakah. Thus, a comprehensive picture of zakah theme publications assists researchers and zakah fund institutions in making assessments, focusing on the unstudied fraction of the zakah theme.
Practical implications
This research is planned to serve as a reference for future research, particularly examining the theme’s novelty. It is intended to have implications for policymakers, particularly zakah institutions, regarding funding the several zakah research issues and concentrations.
Social implications
This research can guide future researchers and is expected to include parameters such as author, year and data source while analyzing zakah publications to generate new findings.
Originality/value
This is probably one of few comprehensive studies that examined the evolution of the zakah theme using the Scopus-indexed database. The relevance of this paper is to provide suggestions and projections for future zakah research. Scholars should examine zakah publications by author, year and data source to gain fresh insights. Search for data sources with high-impact factors and objective metrics, then clear out irrelevant documents to improve the analysis’ quality and findings.
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