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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 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.

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 paper aims to investigate the immediate effect of the outbreak of the COVID-19 pandemic by investigating volatility transmission and dynamic correlation between stock (conventional and Islamic) markets, bitcoin and major commodities such as gold, oil and silver at different investment horizons before and after 161 trading days of the outbreak of the COVID-19 pandemic.

The MGARCH-DCC and maximum overlap discrete wavelet transform -based cross-correlation were used in the estimation of the volatility spillover and continuous wavelet transform in the estimation of the time-varying volatility and correlation between the assets at different investment horizons.

The authors observed a sudden correlation breakdown following the COVID-19 shock. Oil (Bitcoin) was a major volatility transmitter before (during) COVID-19. Digital gold (Bitcoin), gold and silver became highly correlated during COVID-19. The highest co-movement between the assets was observed at medium and long-term investment horizons.

The study findings have a financial implication for day traders, investors and policymakers in the understanding of volatility transmission and intercorrelation in a bid to actively manage stylized and well-diversified asset portfolios.

This study is unique for its employment in estimating the time-varying conditional volatility of the investable assets and cross-correlations between them at different investment horizons, particularly before and after COVID-19 outbreak.

Islamic banks (IBs) place significant importance on their religious identity, prompting the utilization of impression management (IM) strategies to emphasize such identity. This paper aims to discuss the motivations behind using IM in the creation of religious identity by IBs, and to explore the use of religious symbols and language as a form of religious rhetoric. It is argued that to counteract the threats to their religious identity, IBs use IM techniques, predominantly through the inclusion of religious symbols and rhetoric.

An empirical exploratory study, using content analysis, was conducted on the annual reports of the largest IBs for the year 2022. The analyses involved a total of 39 banks based on a filtered list from The Banker’s Top Islamic Financial Institutions of 2022. A manual content analysis was undertaken to extract religious symbols, images and contents.

The findings reveal the use of IM techniques that emphasize the religious identity of these banks. Notably, IBs consistently reaffirm their commitment to Sharia compliance and disclose their contributions to Zakah. In addition, the analysis reveals the incorporation of Quranic verses, religious iconographic images and other religious rhetoric statements in the annual reports of many IBs.

The analysis concludes that the assertion by IBs that their guiding principles are rooted in Islamic values are supported by the religious terminology and imagery embedded in their annual reports. Alongside mere religious symbolism, the terms and images are integral part of the corporate identity of the Islamic that not only sends persuasive signals to stakeholders but also help build an impression on the activities of the IBs.

IM has been a key objective and strategy of companies. This study aimed at exploring whether and how IBs used religious symbolism as an integral part of IM and corporate identity.

There is a growing need to promote and practice sustainable HRM to foster greener organizations with trained employees who have an attitude and behavior to preserve depleting resources. The purpose of this study is to highlight the importance of sustainable green human resource management (Green HRM) practices along with organizational identification (OI) as a mediating factor and perceived organizational support (POS) as a moderating factor.

Quantitative methodology was used, and the data were collected from 311 employees working in telecommunication organizations located in the twin cities of Rawalpindi and Islamabad, Pakistan. Results of the study are based on the structural equation modeling technique using Smart-PLS.

Findings revealed that OI proved to be a significant positive mediator between Green HRM and organizational citizenship behaviors for the environment. POS also proved to be a significant moderator on the relationship between Green HRM and OI.

The study is limited to the two cities of Pakistan; future studies can focus on more cities so that the results can be more generalized.

This study will especially be useful for HR practitioners to develop mechanisms to initiate and encourage sustainable HR practices.

Organizations’ positive position is established through the inculcation of green activities among their employees. Thus, a sense of responsibility and attachment among employees toward green behavior makes them good citizens. It also works well for their organization as well as for the environment. Moreover, it preserves environmental resources and helps ensure sustainability.

The research paper was aimed at exploring the importance of sustainable Green HRM practices in a developing country like Pakistan.

The competitive nature of the hospitality industry necessitates continual adaptation and innovation. While standardization can stifle creativity, CSR has the potential to enhance employee extra-role behaviors, including creativity. The existing literature on the relationship between CSR and employee creativity is sparse, especially in developing countries, and tends to overlook the importance of emotions. This research was designed to investigate the relationship between CSR and employee creativity in the hospitality sector of an emerging economy, with a focus on the mediating effects of emotions like employee admiration and happiness and the moderating role of employees' altruistic values.

Data were collected from 428 hospitality employees using questionnaires. Analysis was conducted using the SMART-PLS software.

CSR has a notable influence on creativity. Emotions, specifically employee admiration and happiness, along with personal values, were found to play significant mediating and moderating roles in the CSR-employee creativity relationship.

The findings provide valuable insights for hospitality managers, suggesting that CSR initiatives can be leveraged to enhance competitive advantages by promoting employee creativity. The study underscores the importance of understanding the emotional and value-based dimensions of employees about CSR initiatives.

This research fills a critical gap in the literature, particularly in the context of emerging economies, by examining the emotional facets of the CSR-employee creativity relationship. The study’s emphasis on emotional mediators and altruistic values as moderators in the said relationship adds a unique dimension to the discourse, enriching the understanding of how CSR can influence hospitality employees' creative outcomes.

The paper aims to examine the effect of justice perceptions of performance appraisal (JPPA) practices (i.e. distributive, procedural, informational and interpersonal justice) on organizational citizenship behavior (OCB) and affective commitment (AC) and the effect of AC on OCB. Further, it investigates the mediating role of AC in the relationship between JPPA practices and OCB. Moreover, this study examines the moderating effect of job level on the relationship between JPPA practices and OCB.

The data were collected using a self-reported structured questionnaire. A total of 650 questionnaires were distributed among the employees of 50 information technology (IT) companies in India, and 503 samples were obtained. The conceptual framework was tested using the partial least squares structural equation modeling (PLS-SEM) method, and the moderating effect was tested using process macro.

The findings of this study reveal that the JPPA practices positively affect OCB and AC and AC affects OCB. Further, AC partially mediates this relationship between JPPA practices and OCB. Furthermore, the direct effect of JPPA practices on OCB happens to be strengthened when the job level decreases, thus confirming the moderating role of job level.

The findings of this study augment the social exchange theory (SET) by suggesting that individuals perceiving justice or fairness in performance appraisal practices are likely to have a greater AC that ultimately engages employees in OCB.

This study will be helpful for human resource practitioners in IT companies who are responsible for the fairness of performance appraisal practices and expect their employees to be emotionally attached to the organization and engaged in OCB.

The study adds to the body of knowledge of how justice in performance appraisal practices links to OCB through AC and moderates by job level in an emerging economy in Asia.

(1) developing a dynamic and progressive software defect prediction model to successfully manage novel and huge amounts of software defect data and lessen the computational time. (2) to avoid the great diminish of static batch learning algorithms efficiency once the amount of data achieves a certain level.

This study explores the proficiency of the incremental classification based approach to elaborate anincremental software defect prediction system which helps recognizing and treating real-time software data streams.

The proposed method, as demonstrated by experimental results, is clearly competitive with the relevant two-class classifiers currently in use for software defect diagnosis. Detailed experimental findings clearly demonstrated the performance and efficiency of the suggested software defect detection approach: Incremental Discriminant-based Support Vector Machine (IDSVM) to differentiate between defective and non-defective objects.

To the best of our knowledge, this is the first a real-time prediction method that investigates incremental classification in software defect prediction research

Although the importance of entrepreneurial culture (EC) has been recognized, it remains unclear how EC affects sustainable competitive performance (SCP). This study aims to explore how EC affects SCP via the mediating role of innovation capability (IC) and the moderating role of digital marketing capability (DMC).

Based on data gathered from manufacturing small and medium-sized enterprises (SMEs) in Malaysia, the proposed model was tested using partial least squares structural equation modeling via SmartPLS software.

The analysis results indicate that EC affects IC, which in turn has a positive effect on SCP. In addition, IC mediates the EC-SCP relationship. Importantly, DMC positively moderates the EC–SCP relationship.

This study combines IC, DMC and SCP under resource-based view and dynamic capabilities theory into a single framework. Results confirm EC's impact on SMEs' manufacturing sector SCP, with IC mediating this link. However, the cross-sectional design restricts deeper respondent analysis.

This study offers SME managers/owners and decision-makers insights on enhancing EC for better performance and competitive edge. It highlights IC's crucial role in translating EC into innovation and value creation. Policymakers can also use these findings to design programs for SMEs in emerging markets.

This study underscores the significance of EC adoption not only to generate a sustainable competitive advantage for the firm but also to increase the social as well as economic well-being of the firm, especially in the context of emerging economies, such as Malaysia; which are characterized by diverse ethnic groups contributing to their unique social fabric.

This work fills the knowledge gap by providing empirical evidence for the mediating and moderating role of IC and DMC, respectively, in the link between EC and SCP, thus significantly contributing to emerging markets, where managers seek to enhance their understanding of using EC for fostering SCP.