Search results

The purpose of the study is to analyse the occurrence and distribution of different tree species in Gilgit-Baltistan, Pakistan, as a baseline for further inventories, and estimate the biomass per species and plot. Furthermore, it aims to measure forest biodiversity using established formulae for tree species diversity index, richness, evenness and accumulative curve.

Field data were collected, including stratification of forest sample plots. Statistical analysis of the data was carried out, and locally appropriate allometric equations were applied for biomass estimation.

Representative circular 556 forest sample plots of 1,000 m² contained 13,135 trees belonging to nine tree species with a total aboveground biomass of 12,887 tonnes. Sixty-eight per cent of the trees were found between 2,600 and 3,400 masl; approximately 63 per cent had a diameter at breast height equal to 30 cm, and 45 per cent were less than 12 m in height. The Shannon diversity index was 1.82, and Simpson’s index of diversity was 0.813.

Rough terrain, long distances, harsh weather conditions and location of forest in steep narrow valleys presented challenges for the field crews, and meant that fieldwork took longer than planned.

Estimating biomass in Gilgit-Baltistan’s forests using locally developed allometric equations will provide transparency in estimates of forest reference levels, National Forest Monitoring System in Pakistan and devising Reducing Emissions from Deforestation and Forest Degradation national strategies and for effective implementation.

This paper presents the first detailed forest inventory carried out for the dry temperate and semi-arid cold region of Gilgit-Baltistan, Pakistan.

The purpose of this research is to identify major barriers to the implementation of reverse logistics (RL). Also, the study addresses best practices among reuse, remanufacture, recycling, refurbishment and repair as alternatives for RL processes.

This study targets supply chain management experts for their opinions regarding the identification of critical barriers and alternatives for RL implementation. Their opinions were extracted through a Web questionnaire based on 14 criteria with 5 alternatives. The tools of multi-criteria decision-making are used for analysis, i.e. fuzzy VIKOR and fuzzy TOPSIS.

The results indicate that lack of recognition of competitive advantage to be gained through RL practice is the most critical barrier to RL implementation. The least barrier or major facilitator for RL is “supportive initiative for end-of-life products.” The top-ranked alternative in this study is reuse followed by remanufacturing. The least important alternative is “repair” in the case of Pakistan. These alternatives are ranked based on “q values” derived through fuzzy VIKOR.

The results of this study can only be generalized for the manufacturing sector of Pakistan during the period of the study.

The findings of this study will assist managers in deploying the best practices concerning RL.

Fuzzy VIKOR and fuzzy TOPSIS have not been applied to RL alternatives in previous research.

Although both institutional export assistance and entrepreneurial orientation (EO) contribute separately and positively to export performance, the interplay between them has received little attention. This study examines the role of international EO in deriving performance benefits from governmental and nongovernmental export assistance.

In this longitudinal study, two surveys were administered at two different times: In 2011, 705 Bangladeshi apparel exporters were surveyed, and in 2019, a subsequent survey of 198 firms in multiple industries was conducted. The aim of the surveys was to assess the relationships between governmental and nongovernmental assistance, EO and export performance.

The results of the first survey show that, while nongovernmental assistance influences performance directly and via EO, governmental assistance has only direct effects. Furthermore, the negative influence of government assistance on EO reduces the total effects and renders them nonsignificant. The results of the second survey demonstrate that government EPPs have both direct and indirect positive and significant effects on market performance, indicating a partial mediation, whereas quasi-governmental assistance has positive and significant direct effects as well as negative but nonsignificant indirect effects. Nongovernmental EPPs have both direct and indirect significant effects on international performance, indicating a partial mediation.

The study has important implications for researchers studying export assistance and its impact on firm performance. Instead of adopting a parochial view of government assistance, this study categorizes such assistance into three types – government, quasi-government and nongovernment. Furthermore, this study bridges the export assistance and international entrepreneurship literature by including EO.

Entrepreneurs must emphasize the use of government assistance in order to enhance export performance. However, to promote both entrepreneurship and performance, they must emphasize nongovernment assistance. Exporters should also capitalize on the assistance extended by various quasi-governmental agencies to bolster export performance.

Given the performance advantage of export assistance, this study highlights the contribution of the private sector in promoting export entrepreneurship while shedding light on the pernicious role of (quasi-)governmental assistance in export entrepreneurship.

Total quality management (TQM) must include orientation towards quality awareness in the overall organisational processes in a firm. A successful TQM needs a supportive culture that can adapt to alterations and strengthen innovation. This study aims to confirm the association between the style of management known as organisational culture (OC) and TQM practices in manufacturing Small and Medium Enterprises (SMEs).

Data-driven research was drawn from self-assessment inquiries among 772 managers/owners of manufacturing SMEs of the Saudi Arabia Kingdom (KSA). The dominant culture was detected by means of a cross-sectional technique.

The findings enrich the literature by revealing a positive effect of OC on TQM execution in the manufacturing SMEs of KSA.

Prior to the execution of TQM operations, administrators of manufacturing SMEs should be aware of the culture within organisations so that TQM may be implemented.

The study suggests that organisations, particularly manufacturing SMEs, should constantly strive to enhance the TQM culture.

Amid intense competition among manufacturing SMEs, it is crucial to guarantee their high performance. This research assists society in evaluating the strength of a particular SME sector and further enables it to assess which SMEs really have a good OC–TQM relation.

The paper creates and presents various platforms of the OC and TQM as a unified body of knowledge.

The banking sector in West Asia has always experienced positive growth except for Palestine. Apart from some negligible outlying outcomes in some countries that have faced political crises and war, most West Asian countries have gained bank profitability and efficiency. However, the stability in the banking sector has been rarely examined in the literature. Hence, this study sheds light on examining bank stability by considering 12 countries in West Asia.

A fixed effect panel data regression analysis is employed on strongly balanced panel data using data from 2004 to 2018.

Results reveal that the net interest margin has a positive relationship with bank stability. The bank’s stability rises as the net interest margin improves. Furthermore, the non-interest income reveals a positive significant impact on the stability of banks, depicting that the increase in non-interest income increases the stability of banks. Additionally, the non-interest expense also reveals positive significant results with the stability of banks. Nevertheless, leverage ratio and long-term debt portray a negative significant impact on banks’ stability. The finding reveals that higher long-term debt and leverage ratios may decrease the stability of the banks in West Asia.

Overall, the authors’ findings add to the literature on the stability of the banks by providing some new but significant information. Some of the recommendations may be beneficial to the long-term success of 12 Western Asian countries’ banks.

The study examines the stability of banks by incorporating both profitability and operating efficiency along with net-interest income, which extends to the current literature’s insight.

The purpose of this study is to investigate the intellectual capital disclosure (ICD) practices of financial institutions in an emerging economy of Bangladesh.

Based on 93 items of intellectual capital categorized into internal capital, external capital and human capital, ICD index is developed for 53 financial institutions listed in Dhaka Stock Exchange. This study uses descriptive statistics to analyze ICD practices, and parametric and non-parametric tests to analyze the variation of ICD practices in terms of different categories as well as in terms of different sectors.

Results indicate that more than 70% of ICD items are generally not disclosed by financial institutions in Bangladesh. The highest of 36% of external capital disclosure items are disclosed, whereas the lowest of 18% of human resource capital elements are disclosed. Furthermore, results find the significant variability of ICD practices in terms of different intellectual capital categories and in between banking companies and non-banking financial institutions.

Findings have critical implications for managers, policymakers and regulators for setting appropriate strategies and regulations for improving the level of ICD, which, in turn, may reduce the information asymmetry problems of financial institutions as well.

In-depth analysis about variability of ICD practices creates value in the ICD literature by highlighting strategic priority of financial institutions to disclose information about the strategic resources in unique emerging economic settings such as Bangladesh.

Against a background context of Construction 4.0, this study aims to explore what digital leadership in construction firms is, why it is necessary and what considerations it involves. It provides a digital leadership considerations framework to aid organisational digital transformations.

To address the research question informing what digital leadership involves, an interpretivist study was conducted. Eleven purposively selected expert practitioners, including construction business leaders and company digital champions were surveyed using in-depth semi-structured interviews. This obtained insights and reflections on how construction leaders can impel digital transformations.

How construction leaders can embed the skills to drive such transformation in their firms, what the essential digital skills for construction businesses now are in Construction 4.0 and how leaders can attempt to evaluate the value of digital technology for their business practices, are all crystallised. Impacts of digital transformations on the construction workplace are also highlighted.

Because of this work, business leaders will be better equipped to lead and support further digital transformation efforts in Construction 4.0. Future research directions aid academics.

Clear definitions of digital transformation and digital leadership are provided, and a digital leadership considerations framework is provided to support firm-level digital transformations for Construction 4.0.

This paper presents an experimental investigation in establishing the relationship between FDM process parameters and tensile strength of polycarbonate (PC) samples using the I-Optimal design.

I-optimal design methodology is used to plan the experiments by means of Minitab-17.1 software. Samples are manufactured using Stratsys FDM 400mc and tested as per ISO standards. Additionally, an artificial neural network model was developed and compared to the regression model in order to select an appropriate model for optimisation. Finally, the genetic algorithm (GA) solver is executed for improvement of tensile strength of FDM built PC components.

This study demonstrates that the selected process parameters (raster angle, raster to raster air gap, build orientation about Y axis and the number of contours) had significant effect on tensile strength with raster angle being the most influential factor. Increasing the build orientation about Y axis produced specimens with compact structures that resulted in improved fracture resistance.

The fitted regression model has a p-value less than 0.05 which suggests that the model terms significantly represent the tensile strength of PC samples. Further, from the normal probability plot it was found that the residuals follow a straight line, thus the developed model provides adequate predictions. Furthermore, from the validation runs, a close agreement between the predicted and actual values was seen along the reference line which further supports satisfactory model predictions.

This study successfully investigated the effects of the selected process parameters - raster angle, raster to raster air gap, build orientation about Y axis and the number of contours - on tensile strength of PC samples utilising the I-optimal design and ANOVA. In addition, for prediction of the part strength, regression and ANN models were developed. The selected ANN model was optimised using the GA-solver for determination of optimal parameter settings.

The proposed ANN-GA approach is more appropriate to establish the non-linear relationship between the selected process parameters and tensile strength. Further, the proposed ANN-GA methodology can assist in manufacture of various industrial products with Nylon, polyethylene terephthalate glycol (PETG) and PET as new 3DP materials.