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The purpose of this paper is to develop a novel electromagnetic-based acoustic energy harvester (EH) for the application of wireless autonomous sensors.

The developed acoustic EH comprises a Helmholtz resonator (HR), a suspension system that consists of a flexible membrane and a permanent magnet, a couple of coils and a coil holder. Furthermore, the HR, used in the harvester, is designed for a specific resonant frequency based on simulation carried out in COMSOL Multiphysics®.

The developed harvester is tested both in lab under harmonic sound pressure levels (SPLs) and in real environment under random SPLs. In lab, when exposed to 100 dB SPL, the harvester generated a peak power of 212 µW. Furthermore, in real environment in vicinity of electric generator, the harvester produced an output voltage of about 110 mV collectively from its both coils.

In this paper, a novel geometric configuration for electromagnetic-based acoustic EH is proposed. In the developed harvester, two coils are placed in it to achieve enhanced electrical output from it for the first time.

Blockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.

Utilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.

The research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.

Unlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.

The COVID-19 pandemic is having an unprecedented impact on schools and schoolchildren across the globe. There is still a dearth of studies that investigate this recent phenomenon in a developing country context, and this is true of Pakistan. Much of the population in Pakistan resides in rural settings and a lack of technology and of online provision of teaching for more than one year must have had huge negative impacts on students’ learning. The school dropout rate was already high in rural settings (Geven & Hasan, 2020) and, with school closures, this will likely have increased further, and cause some schoolchildren to lose interest in going back to school. However, no current data appear to exist to corroborate this. Due to the lack of available current quantitative and qualitative data, this study seeks to explore the impact of COVID-19 on schoolchildren’s education in Pakistan by examining recently published related studies. This study employs a literature review technique that gathers data to ascertain the potential overall impact on schoolchildren during the pandemic. The findings reveal that there remains a lack of detailed studies on this important topic and that urgent attention is needed from researchers to assess the scale of the impact. In addition, the review found that many children from rural communities had little to no school engagement due to technology poverty and their families being unable to support home-schooling, either due to family and/or work constraints or a lack of prior education and/or skills. Themes that emerged were that families, especially mothers, struggled to balance both caring and home-schooling duties, pupils from private schools had a better experience than those from public school backgrounds, and many of these reported that online provisions helped students develop new skills. This study may help to improve the understanding of the impact on the lost learning of schoolchildren during the pandemic by guiding practitioners as well as policymakers.

This paper aims to conceptualize the nexus between the participatory finance and the higher ethical objectives within the Islamic moral economy, also termed as Maqasid al Shari’ah.

Insights from the extant Islamic economics and finance literature are integrated through an interpretative systematic review using the principles from critical interpretative synthesis (CIS).

A coherent framework is synthesized comprising the typology of the Maqasid al Shari’ah, the axioms of participatory finance and their nexus which is formulated by theorizing the common thread of meaning through the axioms of participatory finance and Maqasid al Shari’ah at the interpretative level. This framework postulates that the participatory finance fits well in the ethos and the value system of Islam. Moreover, “social well-being” invariably provides the nexus between the Maqasid al Shari’ah and participatory finance.

This study contributes to the Islamic economics and finance literature by integrating the dissenting views from the divergent literature related to the basic philosophy of Shari’ah and participatory finance and provides grounds for policy implications, particularly, for designing the financial products. Moreover, it demonstrates an application of interpretative systematic review in Islamic banking and finance research.

In this paper, an institutional perspective is used to examine the different kinds of pressures on entrepreneurs manifest in a conflict environment. The purpose of this paper is to investigate how they respond to the conflict and establish legitimacy for their entrepreneurship in the challenging context of the north western areas of Pakistan.

In this study, a qualitative approach is taken based on semi-structured interviews from 16 different firms in the Swat valley.

The entrepreneurs undertake different strategies towards dealing with conflict and establishing legitimacy. These strategies are identified and examined in relation to the interactions between entrepreneurial behaviour and institutional pressures.

Qualitative research on a small sample inevitably presents a limitation on the generalisability of this work. Further research could employ quantitative methods to address this issue. One particular location is studied, so future research could be carried out in other countries or regions with similar problems.

The study may have value for policymakers who need to know more about how to support ongoing businesses in difficult regions.

Better understanding of the needs of small business may in time contribute to a better business climate in difficult regions.

A new dimension is added to institutional theory through its application in the very uncertain environment between all-out war and ongoing violence, identifying the possibility of weak agency for institutional change. Further, the study contributes to the growing body of literature on entrepreneurship in conflict environments.

The presence of heavy metals in milk causes many acute and chronic physiological dysfunctions in human organs. The present study aims to investigate the heavy metals in cow's and buffalo's milk of two major cities, Karachi and Gujranwala, Pakistan to estimate metal intake by humans from this source.

In total, 48 milk samples from 2 cities were drawn from animals' udder to avoid contamination. Each sample was digested with nitric acid at 105 ^oC (degree Celsius) on a pre-heated electric hot plate to investigate the metals by atomic absorption spectroscopy (flame type). Air-acetylene technique analyzed chromium, cadmium and lead, and the hydride method analyzed arsenic in the milk samples.

The results revealed the highest mean lead concentration (19.65 ± 43.86 ppb) in the milk samples, followed by chromium (2.10 ± 2.33 ppb) and arsenic (0.48 ± 0.73 ppb). Cadmium was not detected in any sample, assuming cadmium's occurrence was below the detection level. The concentrations of all the metals in the samples of the two cities do not differ statistically. Lead concentrations in the buffalo's milk were higher than in cow's milk (p < 0.05). However, the concentrations of arsenic and chromium between buffalo's and cow's milk do not differ statistically. The present study reveals a lower level of metals in the milk than those conducted elsewhere. The mean concentrations of all the metals met the World Health Organization's (WHO) safety guidelines (1993).

Although cadmium causes toxicity in the human body, cadmium could not be measured because cadmium's concentration was below the detection level, which is 1 ppb.

This study will help reduce the toxic metals in our environment, and the sources of heavy metals, particularly from the industrial sector could be identified. The feed and water consumed by the milking animals could be carefully used for feeding them.

This study will help reduce the diseases and malfunction of human organs and organ systems since these heavy metals cause toxicity and carcinogenicity in humans. Arsenic and chromium cause cancer while lead causes encephalopathy (a brain disease).

The study reports heavy metal concentrations in the two attributes of four independent variables of raw milk samples that were scarcely reported from Pakistan.

Reverse logistics (RL) is a type of supply chain management that moves goods from the end customer to the original manufacturer for reuse, remanufacturing and disposal purposes. Owing to growing environmental legislations and the development of new technologies in marketing, RL has attracted more significance among experts and academicians. Outsourcing RL practices to third-party reverse logistics provider (3PRLP) has been identified as one of the most important management strategies due to complexity of RL operations and the lack of available resource. Current sustainability trends have made 3PRLP assessment and selection process more complex. In order to select the 3PRLP, the existence of several aspects of sustainability motivates the experts to establish a new multi-criteria decision analysis (MCDA) approach.

With the growing complexity and high uncertainty of decision environments, the preference values of 3PRLPs are not always expressed with real numbers. As the generalized version of fuzzy set, intuitionistic fuzzy set and Fermatean fuzzy set, the theory of q-rung orthopair fuzzy set (q-ROFS) is used to permit decision experts (DEs) to their assessments in a larger space and to better cope with uncertain information. Given that the combined compromise solution (CoCoSo) is an innovative MCDA approach with higher degree of stability and reliability than several existing methods.

To exhibit the potentiality and applicability of the presented framework, a case study of S3PRLPs assessment is taken from q-rung orthopair fuzzy perspective. The assessment process consists of three sustainability aspects namely economic, environment and social dimensions related with a total of 14 criteria. Further, sensitivity and comparative analyses are made to display the solidity and strength of the presented approach. The results of this study approve that the presented methodology is more stable and efficient in comparison with other methods.

Thus, the objective of the study is to develop a hybrid decision-making methodology by combining CoCoSo method and discrimination measure with q-ROFS for selecting an appropriate sustainable 3PRLP (S3PRLP) candidate under uncertain environment. In the proposed method, a novel procedure is proposed to obtain the weights of DEs within q-ROFS context. To calculate the criteria weights, a new formula is presented based on discrimination measure, which provides more realistic weights. In this respect, a new discrimination measure is proposed for q-ROFSs.

Small and medium-sized enterprises (SMEs) are an important contributor to emerging countries’ economic growth. However, SMEs have been struggling to sustain their performance in a highly competitive environment. Thus, this study aims to re-examine the effect of SMEs’ entrepreneurial orientation (EO) on firms’ performance during the COVID-19. This study has also studied the moderating role of social media usage and the mediating role of marketing capabilities and social media usage.

This study used a structured questionnaire for data collection, where the unit of analysis was the manager or owner of SMEs. The data were analyzed using partial least square-structural equation modeling.

The findings show that an EO has a significant and positive effect on an SME’s performance, but the outcomes are conditional on the role of social media and marketing capabilities. The empirical results reveal that marketing capabilities significantly mediate the relationship between EO and SME performance. In addition, social media usage moderates the relationship between EO and SME performance and it also partially mediates the EO-performance nexus of SMEs. Finally, this study discovers that the EO-Performance nexus of SMEs is serially mediated by social media usage and marketing capabilities.

This study has important implications for SMEs that are seeking to gain a competitive advantage. For example, an SME should deploy market activities through social media channels. In situations such as a pandemic and uncertainty, this could be the most effective tool.

This study builds a theory-based mediation-moderation model to explain the link between EO and SME performance. In explaining mediation-moderation effects, the current study provides insight into EO-performance relationships. Moreover, the current model facilitates exploring whether serial mediation passes through social media usage and market capabilities. Therefore, with new findings, the study extends the literature on serial mediation in the EO-performance of SMEs. Additionally, this study extends the literature on the moderating role of social media on SMEs in Indonesia, which has not been investigated. Besides, the current study adds new insight into the EO-performance of SME in COVID-19 condition.

In the presence of informal sector in the country, designing an energy policy and the pursuit of higher economic growth become challenging for emerging economies. These economies are usually resource starved, and the presence of underground economy leads to faulty estimates of energy demand. The authors explore the energy–growth nexus in the presence of underground economy for Pakistan, an emerging economy host to large informal sector and facing recurring energy crises.

The authors evaluate the impact of underground economy on energy demand in the presence of explanatory variables, including official gross domestic product (GDP), foreign direct investment and financial development. The authors first assess the influence of official economy on the consumption of energy. The authors investigate how energy consumption is influenced solely by underground economy. Finally, the authors evaluate the impact of true GDP on the energy consumption. The authors employ combined cointegration method of Bayer and Hanck (2013) and then apply vector error correction model.

The results reveal that official GDP, underground economy and true GDP positively and significantly affect energy consumption in both short and long run. Similarly, financial development as well as foreign direct investment enhance energy consumption. The authors find unidirectional causality between energy consumption and official GDP variables (OGDP → EC), underground economy (UE → EC) and true GDP variables (TGDP → EC) in the long run. The authors observe bidirectional causality in the short run between energy consumption and official GDP (OGDP ↔ EC) and true GDP (TGDP ↔ EC).

To the best of the authors' knowledge, no study examines the causal relationship of energy consumption and underground economy. Overall, the findings assist policymakers to consider and implement different energy-related policies considering the significant role of underground economy for energy consumption in Pakistan.

This study used attribution and social exchange theories as bases to test a model comprising the most significant variables, namely, perception, attitudes and positive behaviour. The current research concentrated on the effects of three variables (i.e. organisational justice, support and identity) on task performance and organizational citizenship behaviour via job satisfaction, organisational commitment and work engagement. Additionally, this study aims to determine the external locus of control’s moderator role.

A questionnaire-based quantitative design was used as basis in collecting data from 1,125 industrial sector (i.e. electricity and oil industry) employees in southern Iraq.

Analysis of data reinforced the majority of the relationships in the research model. Results showed the mediator variables’ significance in providing explanation to the majority of the relationships and the external locus of control’s role in moderating such relationships. Research outcomes were used as bases in discussing several theoretical and practical implications, as well as presenting a few recommendations for studies in the future.

This research centres on determining the antecedents of positive behaviours via six circumstantial variables and one personal variable in a single model. Moreover, this study is applied in a developing country’s industrial sector with a moderately large sample size to yield evident and significant outcomes. Consequently, practitioners and academics are provided with a reference on managing and changing workplace behaviour.