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The purpose of this study is to experimentally investigate the large deformation compression characteristics of fused deposition modelling (FDM)-printed poly lactic acid (PLA), considering the combined effect of infill density and strain rate, and to develop a constitutive viscoplastic model that can incorporate the infill density to predict the experimental result.

The experimental approach focuses on strain rate-dependent (2.1 × 10⁻⁴, 2.1 × 10⁻³, and 2.1 × 10⁻² s⁻¹) compression testing for varied infill densities. Scanning electron microscopy (SEM) imaging of compressed materials is used to investigate deformation processes. A hyperelastic-viscoplastic constitutive model is constructed that can predict mechanical deformations at different strain rates and infill densities.

The yield stress of PLA increased with increase in strain rate and infill density. However, higher degree of strain-softening response was witnessed for the strain rate corresponding to 2.1 × 10⁻² s⁻¹. While filament splitting and twisting were identified as the damage mechanisms at higher strain rates, matrix crazing was observed as the primary deformation mechanism for higher infill density (95%). The developed constitutive model captured yield stress and post-yield softening behaviour of FDM build PLA samples with a high R² value of 0.99.

This paper addresses the need to analyse and predict the mechanical response of FDM print polymers (PLA) undergoing extensive strain-compressive loading through a hyperelastic-viscoplastic constitutive model. This study links combined effects of the printing parameter (infill density) with the experimental parameter (strain rate).

Human resource managers are adopting AI technology for conducting various tasks of human resource management, starting from manpower planning till employee exit. AI technology is prominently used for talent acquisition in organizations. This research investigates the adoption of AI technology for talent acquisition.

This study employs Technology-Organization-Environment (TOE) and Task-Technology-Fit (TTF) framework and proposes a model to explore the adoption of AI technology for talent acquisition. The survey was conducted among the 562 human resource managers and talent acquisition managers with a structured questionnaire. The analysis of data was completed using PLS-SEM.

This research reveals that cost-effectiveness, relative advantage, top management support, HR readiness, competitive pressure and support from AI vendors positively affect AI technology adoption for talent acquisition. Security and privacy issues negatively influence the adoption of AI technology. It is found that task and technology characteristics influence the task technology fit of AI technology for talent acquisition. Adoption and task technology fit of AI technology influence the actual usage of AI technology for talent acquisition. It is revealed that stickiness to traditional talent acquisition methods negatively moderates the association between adoption and actual usage of AI technology for talent acquisition. The proposed model was empirically validated and revealed the predictors of adoption and actual usage of AI technology for talent acquisition.

This paper provides the predictors of the adoption of AI technology for talent acquisition, which is emerging extensively in the human resource domain. It provides vital insights to the human resource managers to benchmark AI technology required for talent acquisition. Marketers can develop their marketing plan considering the factors of adoption. It would help designers to understand the factors of adoption and design the AI technology algorithms and applications for talent acquisition. It contributes to advance the literature of technology adoption by interweaving it with the human resource domain literature on talent acquisition.

This research uniquely validates the model for the adoption of AI technology for talent acquisition using the TOE and TTF framework. It reveals the factors influencing the adoption and actual usage of AI technology for talent acquisition.

While uncertainty during emergency response operations necessitates adaptive performance, emergency response organizations, such as the fire service, tend to constrain adaptive behaviors due to their highly formalized bureaucratic structures. Structural theories suggest that leaders can empower employees to bypass these constraints.

Using survey data from four US fire departments, this research tests whether mid-level supervisors can empower firefighters by increasing their ability to improvise during complex emergency response operations, and whether this enhances department adaptive performance. Moderated mediation is also performed to assess whether senior leaders must also be effective, empowering leaders in order to achieve heightened levels of empowerment and subsequent adaptive performance, as many senior leaders in the fire service are criticized for being overly bureaucratic, risk averse, and resistant to change.

The findings support compensatory effects and show how immediate supervisors are key to overcoming senior leader deficiencies and producing adaptive performance during conditions of high uncertainty and complexity.

The lack of response organizations’ success during complex incidents is often attributed to senior leaders who are risk averse, overly bureaucratic, and resistant to change (Wankhade and Patnaik, 2020). This study is the first to show how empowering leadership can help overcome these constraints to enhance adaptive performance under complex conditions in the fire service.

The purpose of this study was to investigate the status of technology adoption (TA) among clothing manufacturers in Bangladesh and examine the influences of contextual factors on their TA level. Particularly, the authors examined the effects of export orientation, top management commitment (TMC), competitive pressure (CP), cost of capital (CC) and technical skills (TS).

The data were collected from Bangladeshi clothing manufacturer through an online survey. A firm was treated as a unit of analysis.

The results revealed that the most common technologies adopted were information technology and software related and the least common were automation related. Export orientation negatively influenced while TS and CP positively influenced the level of TA.

Due to the difficulty in obtaining firm level data, data collection did not utilize a random sampling. Only firms that agree to participate were included in the data.

The authors suggest the Bangladeshi clothing manufacturers to adopt selective technologies that complement the cost leadership strategy rather than immediate differentiation strategy or technology innovations.

Focused investment in human capitals and knowledge transfer in Bangladesh, one of the newly classified developing country, should sustain their competitiveness in the global market. Further discussions provide various stakeholders with insights related to trade policies, international aids and the UN's sustainable development agenda.

This study tackles a void that exists in TA research within the labor intensive clothing manufacturing sector, especially in a lower-middle income country, which surprisingly became the second largest clothing supplier today. Unique nature of the sector as an entry to economic development process in connection to the sustainable development concept is discussed to generate implications for practitioners as well as policy makers.

The main objective of the present study is to figure out the effect of agricultural development on environmental pollution in the Indian context over the period 1970 to 2018. The study also tests the applicability of pollution haven hypothesis.

To begin with, the authors test the stationarity of the variables by using the DF-GLS and KPSS tests. To examine the relationship between agricultural development and carbon emissions, the study applies nonlinear autoregressive distributed lag cointegration test developed by Shin et al. (2014). The study also applies Wald test to test the asymmetry between agriculture and environmental pollution.

The findings of this study indicate that agricultural development in India is good for carbon mitigation in the long run whereas energy consumption degrades the environment. The findings document the existence of an asymmetric association between agricultural development and environmental pollution. Furthermore, the results did not find any presence of pollution haven hypothesis for India.

This is the only empirical work that assesses the contribution of agricultural sector to carbon mitigation in the Indian context. The novelty of the study is further ensured by the very nature that it is the first study that examines the effect of agricultural sector on environment in an asymmetric configuration.

Given the relative importance of the Shari’ah supervisory boards (SSBs) in Islamic banks’ (IBs’) performance, this study aims to examine the impact of SSB diversity on IBs’ performance from the stakeholders’ perspective in the context of Pakistan.

Random-effects model and generalized method of moment are used to investigate the impact of SSB diversity on IBs’ performance across a panel data of 22 Islamic banks in Pakistan from 2005 to 2020 inclusive.

The findings of this study show that SSB size, SSB relevant educational background diversity, bank’s size and bank’s stability have a positive impact on IBs’ performance. In contrast, SSB age, nationality and cross-membership diversities have a negative impact on IBs’ performance. Moreover, SSB gender, tenure and general educational diversities have no significant impact on IBs’ performance.

SSB diversity and IBs practices are different across different jurisdictions. This study is conducted on IBs in Pakistan because of data constraints; thus, the results of this study may not be generalizable to other countries' IBs.

In structuring the SSBs’ framework, the regulatory authorities and policymakers should consider mandating an ideal SSB size and hiring relevant qualified members with low cross-membership to improve IBs' performance. Thus, the structure potentially attracts Muslim stakeholders, enhances their satisfaction and improves IBs' performance.

Having diversified members in the SSB, IBs equally benefit both individual and group stakeholders in society. Diversity in SSB members enhances IBs' performance and the social welfare of various stakeholders in society.

To the best of the authors' knowledge, this is the first empirical research that examines comprehensively the impact of SSB structural and demographic diversities on IBs' performance in the context of Pakistan. This paper contributes to the unique Shari’ah governance structure in the context of Pakistan. Additionally, this study may serve to assist IBs’ stakeholders in better comprehending the SSB practices of IBs in Pakistan.

The study aims to critically review the Shariah governance framework for Islamic banking prevailing in Pakistan and provide a comparison with Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI).

It analyzes 16 circulars issued by the State Bank of Pakistan (SBP) since 2002, including three Shariah governance frameworks in 2014, 2015 and 2018. Additionally, the study compares the SBP and AAOIFI Shariah governance standards to evaluate the soundness of the SBP framework against international benchmarks.

Pakistan’s Shariah governance model is centralized, with the SBP’s Shariah board having ultimate authority. The SBP has provided a comprehensive Shariah framework, which includes among others, the criteria for the qualifications and conflict of interests of Shariah members. Both AAOIFI and SBP Shariah governance frameworks have similarities and differences in terms of the tenure of Shariah Supervisory Board (SSB) members, reporting line of SSB, number of SSB meetings, minimum experience of SSB members, primary duties of Shariah board, code of ethics and conduct for SSB and management and requirement of publication of SSB report in the annual report of Islamic banks. The frameworks differ in terms of the delegation of SSB powers, assessment and appraisal of SSB effectiveness and outsourcing of Shariah Compliance Department and Internal Shariah Audit Unit.

The study recommends expanding the qualification criteria for Shariah advisors to include additional degrees and qualifications, upholding stringent criteria for conflict of interests and promoting stakeholder consultation through exposure drafts.

To the best of the authors’ knowledge, this is the first of its kind which critically review and compare the Shariah governance framework prevailing in Pakistan.

The purpose of this investigation was to develop sustainable resource-based anticorrosive coating material using Pongamia glabra seed oil and tannic acid (TA), as well as to improve the coating properties.

TA-modified fatty amide diol was synthesized by condensation polymerization. First, Pongamia glabra seed oil was converted to fatty amide diol (Pongamia oil fatty amide, PFA) that was further modified by TA with different parts per hundred of resin (10, 15 and 20) to develop a polyether fatty amide (PFA-TA). The confirmation of reaction between TA and PFA was carried out using Fourier transform infrared spectroscopy. The thermal behavior of PFA-TA was studied by thermogravimetric analyses. Coatings of several PFA-TA resins were applied to steel (i.e. plain carbon steel) coupons to investigate their physico-mechanical and anticorrosive performance. The corrosion protection performance was observed using AC impedance and polarization tests.

TA-modified fatty amide coatings showed the highest scratch hardness of 2.5 kg, flexibility (1/8 inch) and gloss at 45° was 60-62. Among all compositions, PFA-TA15 showed the best physico-mechanical and anticorrosion performance. Corrosion tests of coated panels were examined in different corrosive media (3.5 wt per cent HCl, 3.5 wt per cent NaOH and 5.0 wt per cent NaCl) using potentiodynamic polarization and AC impedance measurements. PFA-TA may find application as an eco-friendly protective coating, and thermal analyses revealed that it can be safely used up to 300°C.

This paper provides the development of protective coatings for steel from non-edible seed oil and TA to utilize sustainable resources.

The purpose of this study is to investigate the link between corporate social responsibility (CSR) and the amount of trust customers have in Somali Islamic banks. Furthermore, the role of gender in CSR activities and Islamic bank clientele is evaluated.

Throughout February and March 2022, 410 clients of Islamic banks in Somalia were surveyed using a questionnaire. The partial least squares approach and the structural equation model are applied to examine the data.

Findings indicate that all variables of CSR activities, such as social product, social legal, social needs, social environment and social employees’ responsibility, are influential and significant predictors of trust in Islamic banks in Somalia. Gender inequalities moderate the relationship between social product, social needs, social environment, social employee and trust. Conversely, only social legal responsibility was unaffected by gender differences in Somalia regarding people’s trust in Islamic banks.

A sample from a developing country such as Somalia is useful for shedding light on the outcomes of consumers’ perceptions of and trust in businesses’ CSR in the developing world. Furthermore, this study contributes to knowledge regarding CSR and how it can help the Islamic banking industry. Its findings will be useful to policymakers and regulatory bodies in the banking industry in their efforts to improve CSR.

To the best of the authors’ knowledge, this study is the first empirical investigation of its kind about the understudied relationship among customer trust, CSR efforts and gender in Somalia context. Furthermore, it investigates how gender specifically moderates CSR in the Islamic banking sector in a developing country.

This paper aims to discuss the methodology of mainstream Islamic economics and also gives an alternative approach which is yet not very much taught in the different academic institutions, i.e. Tawhidi methodology. From the curriculum of the different academic institutions and also from the literature, it is observed that mainstream Islamic economics is the imitation of the conventional economics and mainly neoclassical economics. Maqasid-i-Shari’ah is not matching with the Tawhidi one.

It is based on the self-observations of the authors where they taught during their academic career.

This study found that the mainstream Islamic economics could not be able to solve the local and global issues because it is the replica of the conventional economics only there are some injunctions of Shari’ah.

This study gives the guideline to the student of Islamic economics that how they will be able to understand the methodology of Islamic economics and finance.

It provides the guidance to the academicians and policymakers, especially those belonging to the Muslim countries.

It also provides the glimpses to the social scientist about the solutions of the social and economic issues at the local and global levels.

It is an original effort.