Search results

This study aims to present the perspectives of heterodox economics and Islamic economics on environmental economics, as an alternative to mainstream economics, which takes economic growth as its main objective and argues that environmental problems will largely disappear when economic growth is achieved.

In this study, there was no intention to conduct a detailed analysis of heterodox economic models and Islamic economics. Instead, the approaches to the “environment,” which can be considered as an urgent need of the planet, were evaluated, and the inadequate proposals of the mainstream economics’ environmental approach were theoretically criticized and heterodox economics and Islamic economics were proposed as an alternative model.

Heterodox and Islamic economics offer alternative models of development prioritizing social and ecological justice to address environmental problems, which is in contrast to mainstream economics’ narrow focus on market mechanisms and individual rationality. Thus, engaging in more dialogue in the context of the environment is inevitable for both schools, considering the vast geography inhabited by Muslims and the proposed heterodox economic policies, and moreover, these approaches are modeled for the first time.

This article presents a synthesis of Islamic economics and heterodox thinking in contrast to mainstream economic policy, highlighting their similarities and differences and providing a more comprehensive understanding of the complexities and potential solutions of environmental problems. To the best of the authors’ knowledge, this approach has not been previously explored, making it an original contribution to the literature.

This paper aims to investigate the impact of political stability on corruption by drawing upon a sample encompassing both developed and developing European and Asian countries.

The dataset, sourced from the Refinitiv database, spans from July 2014 to May 2022. Panel data techniques, specifically pooled estimation and dynamic panel data [generalized method of moments (GMM)] are employed. The analysis encompasses both fixed and random effects models to capture country-specific cross-sectional effects. To validate our findings, we perform a robustness test by including in the investigation four control variables, namely poverty, type of governance, economic freedom and inflation. To test heterogeneity, the dataset is further divided into two distinct subsamples based on the countries’ locations.

Empirical findings substantiate that political stability (viewed as the risk of government destabilization) has a positive and significant impact on corruption in all analyzed samples of European and Asian countries, though some differences are observed in various subsamples. When we take into account the control variables, these analysis results are robust.

This research provided a panel data analysis with GMM, while other empirical methodologies could also be used, like the difference-in-difference approach. However, our results should be validated by extending the time and the sample to a worldwide sample and using alternative measures of corruption and political stability. Moreover, our focus was on a linear and unidirectional relationship between the considered variables, but it would be interesting to test in our further research a non-linear and bidirectional correlation between them. Furthermore, we have introduced in the robustness test only four economic variables, but to consolidate our findings, we plan to include socioeconomic and demographic variables in future studies.

These outcomes imply that authorities should be aware of the necessity of implementing anti-corruption policies designed to establish effective agencies and enforcement structures for combating systemic corruption, to improve the political environment and the quality of institutions and to apply coherent economic strategies to accelerate economic growth because higher political stability and sustainable development determine a decrease in levels of corruption.

At the microeconomic level, the survival of organizations may be in danger from new types of corruption and money laundering. Therefore, in order to prevent financial harm, the top businesses worldwide should respond to instances of corruption through strengthened supervisory procedures. This calls for the creation of a mechanism inside the code of conduct where correct reporting of suspected situations of corruption would have a prompt procedure to be notified of. To avoid corruption in operational procedures, national plans and policies should be developed by government officials, executives and legislators on a national level, as well as by senior management and the board of directors on an organizational level. This might lower organizations' extra corruption-related expenses, assure economic growth and improve global welfare.

A novel feature of our research resides in its broad examination of a sizable sample of European and Asian countries regarding the nexus between corruption and political stability. The paper also investigates a less explored topic in economic literature, namely the impact of political stability on corruption. Furthermore, the study depicts policy recommendations, outlining effective and reasonable measures aimed at improving the political landscape and combating corruption.

This paper aims to investigate how the corporate attributes, namely, company size, age, leverage, profitability and ownership concentration, are associated with corporate social disclosures (CSD). The paper further examines whether there are any moderating effects on the association because of different proxies of corporate attributes.

The study uses 35 articles published between 1996 and 2016 for finding out the integrated results of the previous studies. The study uses the meta-analysis technique developed by Hunter et al. (1982) and Hunter and Schmidt (1990).

The findings of the overall meta-analysis show that company size and ownership concentration are significantly and positively associated with CSD, while age, profitability and leverage indicate an insignificant positive association. Also, the different proxies of explanatory variables moderate the association between corporate attributes and CSD.

This is a unique study that determines the association between corporate attributes and CSD by using meta-analysis. Therefore, it is expected that this investigation solves the inconclusive and mixed results of the prior studies and assists future researchers to develop a theory in that context.

This chapter uses Islamic finance to question the universality of contemporary finance leading principles. It establishes the existence of different financial paradigms and attempts to determine the form that might take operations in a non-profit maximising context.

This chapter uses Thomas Kuhn’s notion of paradigm to demonstrate that Islamic finance has its own dominant logic and, hence, cannot be reduced to a subset of contemporary finance. It describes how the former has been infused by the leading principles of the latter following the adoption by the Islamic financial field of an accounting system using a conventional referential as a point of reference. Finally, the chapter elaborates on the form that might take financing if profit maximisation is not the operation’s main purpose.

If the condition of profit maximisation is relaxed, the utilisation of Islamic finance instruments might lead to the creation of economical microcycles able to enlarge the socio-economic reach of financing operation.

The notion of economic intermediation is introduced to describe the operations of Islamic banks using their instruments in a non-maximising context. This approach should not be restricted to Islamic finance but viewed as the result of a case study advocating for an alternative view of finance favouring socio-economic development.

This study examines the mechanisms and conditions that influence how transformational leadership affects project success through the lens of social information processing theory.

A dual-stage moderated mediation model was proposed wherein the effect of transformational leadership on project success is mediated by team building, and empowering climate moderates the direct and indirect effects at both the first and second stages. The model was tested based on 370 survey responses of project management practitioners from Pakistan's IT industry. The measurement model was analyzed using confirmatory factor analysis (CFA). Moderated mediation analyses were conducted using Hayes' PROCESS macro.

The findings suggest that team-building partially mediates the effect of transformational leadership on project success. Furthermore, the conditional indirect effect of transformational leadership on project success via team-building is strengthened at both the first and second stages at higher levels of empowerment climate.

It is recommended that project managers and project-intensive organizations should strive to cultivate an empowerment climate to fully realize the beneficial effects of transformational leadership behaviors in enhancing positive team outcomes and, consequently, overall project performance.

This study broadly contributes to the literature on the influence of project managers' leadership styles on project outcomes. Specifically, we elucidate the role of empowerment climate as an important boundary condition that enhances the beneficial effects of transformational leadership. Furthermore, we extend the application of social information processing theory to the context of projects.

This study aimed to examine the current and needed levels of the digital information literacy (DIL) skills of Pakistani librarians and further explored the strategies of and barriers to its acquisition and/or enhancement.

Using the quantitative approach, a cross-sectional survey was conducted. A convenience sample of Pakistani university librarians was recruited. Out of 225 distributed questionnaires, only 180 surveys were returned, a response rate of 80%. Descriptive and inferential statistics were used for data analyzes.

The present status of DIL skills was found low and there is a high demand for its acquisition. The results also explored that the present level of DIL skills is not matching with its required level and thus training is needed. Further, strategies adopted for its attainment were identified including training programs, seminars and social media. Additionally, barriers in the attainment of DIL skills were also established including librarians’ lack of interest, poor internet facilities, absence of users’ demand, no training programs and lack of collaboration between the faculty and librarians.

This study was limited to librarians serving in three different universities of Pakistan. The findings of this study may motivate librarians toward the adoption of digital innovations. This study also informs librarians to recognize gaps in their DIL skills and should attempt to diminish it using diverse strategies. The results also inform the concerned authorities about the barriers faced by librarians in the acquisition of DIL skills and can plan for training programs. Additionally, LIS curriculum should be revised to incorporate topics related to the learning of innovative digital skills. Finally, results motivate librarians to attain DIL skills that possibly augment their performance.

This study is the first attempt in Pakistan that examined supply-demand mismatches, adoption strategies and acquisition barriers in the context of librarians’ DIL skills serving in the university libraries of Peshawar. As the current status of DIL skills of Pakistani librarians was found low, thus university authorities should organize professional development programs for librarians to acquire and/or enhance the DIL skills.

Real-time monitoring of wound or injured tissues is critical for speedy recovery, and the onset of a cascade of biochemical reactions provides potential biomarkers that facilitate the process of wound monitoring, e.g. pH, temperature, moisture level, bacterial load, cytokines, interleukins, etc. Among all the biomarkers, pH has been known to have a profound impact on the wound healing process, and is used to determine the incidence of bacterial infection of the wound (persistently elevated alkaline pH), proteolytic activity at the site of injury, take rate in skin grafting, wound healing stage and preparation for wound debridement.

This review highlights the significance of pH in determination of clinical parameters and for selection of an appropriate treatment regime, and it presents an in-depth analysis of the designs and fabrication methods that use integrated pH sensors, which have been reported to date for the real-time monitoring of wound healing.

For an expedited wound healing process, the significance of pH mandated the need of an integrated sensor system that would facilitate real-time monitoring of healing wounds and obviate the requirement of redressing or complicated testing procedures, which are both labor-intensive and painful for the patient. The review also discussed different types of sensor systems which were developed using hydrogel as a pH-responsive system coupled with voltammetry, potentiometry, impedimetric and flex-circuit inductive transducer systems. All of the mentioned devices have considerable potential for clinical applications, and there is need of in vivo testing to validate their efficiency and sensitivity under practical scenarios.

This manuscript is an original review of literature, and permission has been granted to use the figures from previously published papers.

This chapter develops a new reference for local government accountability in socioenvironmental issues based on the views of leading socioenvironmental nongovernmental Organisations (NGOs) in Indonesia. This study introduces an alternative view related to the government accountability model by focussing more on the socioenvironmental issues, which tend to be marginalised due to the dominance of [neo]liberal economic development and New Public Management paradigm in the praxis of government. A Fairclough's critical discourse analysis method has been applied to annual reports from three main socioenvironmental NGOs in Indonesia ranging from 2015 to 2018. This study found that there are three important notes for the local government's regulation, practice and accountability's activities to be in a line with the sustainable paradigm and the views of these NGOs. First and the foremost, the government's policy should give attention to public needs and ecological standards. Secondly, the rights and obligations related to the environmental issues should be transparent and accountable. Lastly, the government should release the accountability reports in full disclosure document and make the reports publicly available for various stakeholders. In particular, the accountability reports play a role as a tool for people to monitor the government's activities in socioenvironmental issues. This research implies an alternative view in the context of socioenvironmental accounting literature enrichment. It also provides valuable input to other governments, especially in developing countries and countries with economic growth that are highly reliant on the natural resources sector, in order to manage and account for their natural wealth in a more responsible and sustainable manner. Likewise, this research offers an alternative discourse of socioenvironmental accountability from the view of socioenvironmental NGOs in Indonesia.

Isu diskriminasi antara kaum telah tular di media sosial berikutan isu pemberian vaksin secara jumpa terus yang mula dibukakan di Pusat Vaksinasi Stadium Tertutup pada hari Jumaat, 24 September 2021. Jumlah orang ramai yang ingin mengambil vaksin telah melebihi jangkaan sehingga menyebabkan keadaan menjadi tidak terkawal dan berlakunya pelanggaran Prosedur Pengendalian Standard (SOP). Kajian ini dijalankan untuk membincangkan isu diskriminasi kaum yang berlaku semasa gelombang kedua pandemik COVID-19. Penelitian menggunakan metode kualitatif secara deskriptif. Data yang diperolehi daripada komen-komen dalam halaman Brunei Dot Com, dan Facebook ini seterusnya dianalisis menggunakan model tiga dimensi Fairclough (1992). Hasil kajian mendapati kesemua komen telah menunjukkan sikap diskriminasi dalam kalangan masyarakat Brunei secara sedar ataupun tidak. Isu diskriminasi ini bukan sahaja dapat dilihat dari sudut representasi linguistik, tetapi juga penghasilan dan pewahanaan wacana berkaitan pada halaman Brunei Dot Com, dan Facebook. Kajian ini juga menunjukkan bahawa wacana bukan saja mampu dibentuk masyarakat tetapi juga membentuknya.

The issue of racial discrimination concerning the commencement of walk-in vaccination at the Indoor Stadium Vaccination Centre on Friday, 24 September 2021 was widely addressed in the social media. Chaos ensued as an influx of people attended the centre and violated the Standard Operating Procedure (SOP). This paper examines the issue of racial discrimination during the second wave of COVID-19 pandemic in Brunei. As a qualitative-descriptive study, data obtained from Brunei Dot Com, and Facebook page, were analysed using Fairclough's (1992) three-dimensional approach. Findings have shown presence of discriminatory attitudes among the local community displayed as deliberately or unintentionally. This is manifested in its linguistic representations, discourse production and consumption in the selected Brunei Dot Com and Facebook pages. This study indicates that a discourse is not only capable of shaping but is also shaped by the community.

The study is aimed to compare the prediction success of basic machine learning and ensemble machine learning models and accordingly create novel prediction models by combining machine learning models to increase the prediction success in construction labor productivity prediction models.

Categorical and numerical data used in prediction models in many studies in the literature for the prediction of construction labor productivity were made ready for analysis by preprocessing. The Python programming language was used to develop machine learning models. As a result of many variation trials, the models were combined and the proposed novel voting and stacking meta-ensemble machine learning models were constituted. Finally, the models were compared to Target and Taylor diagram.

Meta-ensemble models have been developed for labor productivity prediction by combining machine learning models. Voting ensemble by combining et, gbm, xgboost, lightgbm, catboost and mlp models and stacking ensemble by combining et, gbm, xgboost, catboost and mlp models were created and finally the Et model as meta-learner was selected. Considering the prediction success, it has been determined that the voting and stacking meta-ensemble algorithms have higher prediction success than other machine learning algorithms. Model evaluation metrics, namely MAE, MSE, RMSE and R², were selected to measure the prediction success. For the voting meta-ensemble algorithm, the values of the model evaluation metrics MAE, MSE, RMSE and R² are 0.0499, 0.0045, 0.0671 and 0.7886, respectively. For the stacking meta-ensemble algorithm, the values of the model evaluation metrics MAE, MSE, RMSE and R² are 0.0469, 0.0043, 0.0658 and 0.7967, respectively.

The study shows the comparison between machine learning algorithms and created novel meta-ensemble machine learning algorithms to predict the labor productivity of construction formwork activity. The practitioners and project planners can use this model as reliable and accurate tool for predicting the labor productivity of construction formwork activity prior to construction planning.

The study provides insight into the application of ensemble machine learning algorithms in predicting construction labor productivity. Additionally, novel meta-ensemble algorithms have been used and proposed. Therefore, it is hoped that predicting the labor productivity of construction formwork activity with high accuracy will make a great contribution to construction project management.