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The purpose of this study is to assess the key determinants of green human resource management (GHRM) and investigate its impact on environmental performance (EP) and business performance (BP).

The research employed SmartPLS 3 and follows a cross-sectional research design. Data from 179 employees were collected using a convenience sampling technique from the firms that adopted GHRM practices.

The research found a significant relationship of GHRM with EP and also reported the significant relationship between EP and BP. Moreover, EP significantly mediates the relationship of GHRM with BP.

A relatively small sample size of employees was used that may suggest the need for a diverse and more representative sample. The paper is based on data collected from the Malaysian manufacturing industry – other economic sectors and Asian countries may offer different results.

The paper identifies the need for incorporating GHRM practices and culture at the workplace to encourage positive green behavior in employees which will increase the EP and BP of the firm.

This paper reported the initial empirical findings after the March 7th incident on EP of businesses in Malaysia, where businesses have initiated the adoption of GHRM practices.

The purpose of this study was to determine how environmentally specific transformational leadership (ETFL), green training (GT) and psychological green climate (PGC) affect environmental passion (EP) of employees which leads to pro-environmental behaviors (PEBs).

The context of the study was set in textile industry of Pakistan which holds a promising future in the international markets as an emerging export-based industry. Using purposive sampling technique, cross-sectional self-report data were collected from the employees of textile exporting firms (n = 239) of Pakistan. Hypotheses were tested using PLS-SEM.

The findings revealed that ETFL and PGC act as important predictors of EP, whereas GT plays no role in influencing EP. EP predicts green behavioral intention (GBI) of employees, in turn, GBI predicts employees' PEBs. Further, mediation analyses revealed that EP and GBI sequentially mediated the link between PGC and PEBs.

The present study is not free from its limitations. First, the study adopted cross-sectional design that prevents the causal inferences which the researcher can make from the population. Second, the present study adopted purposive sampling technique which is a non-probability sampling technique. Third, the constructs of this study were assessed with self-report measures which are associated with social desirability bias (Podsakoff and Organ, 1986) or common-method variance (Podsakoff et al., 2003). Hence, this research suggests on the future direction of research based on these limitations.

As per the results of this study, it is also suggested that managers may focus more on the overall organizational and psychological climate rather than on leadership styles alone. While conducting training, the leaders must pay close attention to training objectives to ensure that they do not lead to counterproductive behaviors.

This research adds to the literature in the area of PEBs at micro-level by focusing on how and why employees engage in PEBs.

This paper aims to address essential questions regarding social entrepreneurial intentions. Do traits such as perceived social impact, social worth and social network influence, social entrepreneurial intentions among the young populous generation of Pakistan? To get a deeper insight, this paper further raises questions regarding the relationship of these predictors and social entrepreneurial intentions with empathy which is considered as a key determinant and a distinguishing trait to become a social entrepreneur.

This paper involves a quantitative research design using a partial least square structural equation modeling approach to measure the effects of the structural model. For this, a cross-sectional survey was conducted with a purposive sample of 247 university students from Pakistan.

Results showed a positive relationship between antecedents and social entrepreneurial intentions. Overall analysis exhibited social worth as a dominant trait and social network as the least influencing trait to impact social entrepreneurial intentions.

It will help micro and macro-level policymakers including government officials and NGOs and educators to create awareness and provide support and encouragement to individuals who aim to initiate social enterprise.

The present study makes significant contributions to the social entrepreneurship literature, as it is one of the first academic studies on social entrepreneurial intentions in Pakistan. This paper enriches the theoretical foundation by assessing the influence of perceived social impact, social worth and social network on social entrepreneurial intentions. Also, the relationship of Empathy with each of these antecedents is examined for the first time in the social entrepreneurial intentions context which is a valuable contribution both theoretically and practically.

The purpose of this study is to provide the full-state mathematical model and devise a nonlinear controller for a balloon-supported unmanned aerial vehicle (BUAV).

Newtonian mechanics is used to establish the nonlinear mathematical model of the proposed vehicle assembly which incorporates the dynamics of both balloon and quadrotor UAV. A controllable form of the nine degrees of freedom model is derived. Backstepping control is designed for the proposed model and simulations are performed to assess the tracking performance of the proposed control.

The results show that the proposed methodology works well for smooth trajectories in presence of wind gusts. Moreover, the final mathematical model is affine and various nonlinear control techniques can be used in the future for improved system performance.

Multi-rotor unmanned aerial vehicles (MUAVs) are equipped with controllers but are constrained by smaller flight endurance and payload carrying capability. On the contrary, lighter than air (LTA) aerial vehicles have longer flight times but have poor control performance for outdoor operations. One of the solutions to achieve better flight endurance and payload carrying capability is to augment the LTA balloon to MUAV. The novelty of this research lies in full-order mathematical modeling along with transformation to controllable form for the BUAV assembly.

This paper aims to devise a robust controller for the non-linear aircraft model using output feedback control topology in the presence of uncertain aerodynamic parameters.

Feedback linearization-based state feedback (SFB) controller is considered along with a robust outer loop control which is designed using Lyapunov’s second method. A high-gain observer (HGO) in accordance with the separation principle is used to implement the output feedback (OFB) control scheme. The robustness of the controller and observer is assessed by introducing uncertain aerodynamics coefficients in the dynamic model. The proposed scheme is validated using MATLAB/SIMULINK.

The efficacy of the proposed scheme is authenticated with the simulation results which show that HGO-based OFB control achieves the SFB control performance for a small value of the high-gain parameter in the presence of uncertain aerodynamic parameters.

A HGO for the non-linear model of aircraft with uncertain parameters is a novel contribution which could be further used for the unmanned aerial vehicles autopilot, flight trajectory tracking and path following.

This paper aims to investigates a novel design of a modular moving magnet linear oscillating actuator (MMM-LOA) with the capability of coupling modules, based on their application and space requirements.

Proposed design comprised of modules, and modules are separated by using nonmagnetic materials. Movable part of the proposed design of LOA is composed of permanent magnets (PMs) having axial magnetization direction and tubular structure. Stator of the proposed design is composed of one coil individually in a module. Dimensions of the design parameters are optimized through parametric analysis using COMSOL Multi Physics software. This design is analyzed up to three modules and their response in term of electromagnetic (EM) force and stroke are presented. Influence of adding modules is analyzed for both directions of direct current (DC) and alternating input loadings.

Proposed LOA shows linear increase in magnitude of EM force by adding modules. Motor constant of the investigated LOA is 264 N/A and EM force per PM mass is 452.389 N/kg, that shows significant improvement. Moreover, proposed LOA operates in feasible region of stroke for compressor application. Furthermore, this design uses axially magnetized PMs which are low cost and available in compact tubular structure.

Proposed LOA shows the influence of adding modules and its effect in term of EM force is analyzed for DC and alternating current (AC). Moreover, overall performance and structural topology is compared with state-of-the-art designs of LOA. Improvement with regard of motor constant and EM force per PM mass shows originality and scope of this paper.

This paper aims to investigate the relationship of information-seeking anxiety (ISA) with socio-academic variables of business students in the digital environment.

A cross-sectional survey using a questionnaire was conducted. The questionnaire, composed of 47 items of Information Seeking Anxiety Scale along with certain socio-academic variables, was administered personally among business students by visiting their classrooms at the Lahore School of Economics, Pakistan. The received 283 responses were analyzed by applying descriptive and inferential statistics such as mean, standard deviation, t-test and one-way analysis of variance.

The results revealed that a large majority of business students were less comfortable in information seeking and experienced anxiety from mild to moderate levels. There were only a few respondents who faced either low or severe levels of ISA. In relationship testing, the students’ socio-academic variables such as program type, gender, school background, geographical background, information communication technology skills and English language competence did not appear to be the predictors of their ISA.

The results of this study should carefully be used while making generalizations for all the business students in Pakistan and abroad as this research collected data from the business students of a single university in Pakistan.

These results have greater implications for the future directions of information literacy as creating awareness and building capacity for skills about the information search process will help in reducing ISA. These findings provided a pragmatic insight that can be used as a guide by information professionals, especially those engaged in information services, to develop a need-based curriculum of information literacy which would ultimately help in the alleviation of anxiety and combating its effects on students’ academic performance.

This study address specifically ISA of business students that would make a worthy contribution to the existing research on ISA as, to the best of the authors’ knowledge, no such study has appeared so far.

Achieving social sustainability has become a critical challenge in global supply chain networks, particularly during complex crises such as terrorism. The purpose of this study is to explore how institutional forces influence the social sustainability approaches of logistics service providers (LSPs) in high terrorism-affected regions (HTAR). This then leads to investigating how the key factors interact with Institutional Theory.

An exploratory multiple-case study research method was used to investigate six cases of different-sized logistics LSPs, each in an HTAR. The data was collected using semistructured interviews and triangulated using on-site observations and document analysis. Thematic analysis was used in iterative cycles for cross-case comparisons and pattern matching.

The findings interact with Institutional Theory and the three final-order themes. First, management processes are driven by coopetition and innovation. Second, organizational resources, structure and culture lead to an ineffective organizational design. Finally, a lack of institutionalization creates institutional uncertainty. These factors are rooted in many other first-order factors such as information sharing, communication, relationship management, capacity development, new process developments, workforce characteristics, technology, microlevel culture and control aspects.

This study answers the call for social sustainability research and enriches the literature on social sustainability, Institutional Theory and LSPs in HTARs by providing illustrations showing that institutional forces act as driving forces for social sustainability initiatives by shaping the current management processes. Conversely, the same forces impede social sustainability initiatives by shaping the current organizational designs and increasing institutional uncertainty.

In artificial intelligence, the optical character recognition (OCR) is an active research area based on famous applications such as automation and transformation of printed documents into machine-readable text document. The major purpose of OCR in academia and banks is to achieve a significant performance to save storage space.

A novel technique is proposed for automated OCR based on multi-properties features fusion and selection. The features are fused using serially formulation and output passed to partial least square (PLS) based selection method. The selection is done based on the entropy fitness function. The final features are classified by an ensemble classifier.

The presented method was extensively tested on two datasets such as the authors proposed and Chars74k benchmark and achieved an accuracy of 91.2 and 99.9%. Comparing the results with existing techniques, it is found that the proposed method gives improved performance.

The technique presented in this work will help for license plate recognition and text conversion from a printed document to machine-readable.

This study aims to examine the effect of supply chain agility (SCA) on the export performance of the Pakistani textile industry. Despite being one of the leading manufacturing and exporting sectors, only a handful of the extant literature is found on the textile industry.

A structured questionnaire was prepared using the extant literature. Data was gathered from 146 respondents associated with the textile industry of Pakistan. Hypotheses were tested using structural equation modeling after ensuring the reliability and validity of the data collected for this study.

This study provides several crucial insights for export-oriented firms. International entrepreneurial orientation and domestic competition are the crucial drivers for a firm’s agility. This study confirms that SCA has a significant impact on escalating export performance of the Pakistani textile industry in the international market.

To the best of the authors’ knowledge, the theoretical framework developed for this study is original and drawn from the extant literature. The findings of resulted from empirical testing of the theoretical model in the context of developing countries provide new information in the knowledge body.