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The purpose of this paper is to examine the long-run and short-run relationship between factor accumulation (i.e. physical capital and human capital) and economic growth by calculating the stocks of human capital and real physical capital.

The study uses endogenous growth model, where GDP per worker is the dependent variable and factor accumulation (real physical capital per worker and human capital) is the explanatory variable under the autoregressive distributive lag framework from 1973 to 2014 for Pakistan.

The results suggest that there is a long-run relationship between factor accumulation and GDP per worker in Pakistan. Findings of the study are consistent with the endogenous growth model suggesting that accumulation of human capital increases labor productivity, employment level and per capita income, and causes economic growth.

Developing countries like Pakistan should increase share of human capital for economic development. Government should invest in the education sector because investment in human capital has a large potential of productivity growth and welfare increase in developing countries.

This study challenges the notion of human capital and real physical capital stock used by different researchers. Considering human capital as a core factor of production, a series of human capital as average year of schooling is calculated by utilizing the perpetual inventory method.

This study aims to examine the effect of corporate derivatives use on firm value and how the corporate governance index modifies this relationship.

The sample consists of 219 nonfinancial firms on the Pakistan Stock Exchange (PSX) from 2011 to 2019. The study used ordinary least square regression with year and industry dummies for estimations. Multiple estimation models such as fixed/random effect, Fama–MacBeth and two-stage least squares (2SLS) are used for robustness. Finally, the PROCESS macro tool is used to estimate the effect of moderating the role of corporate governance (CG) as robustness.

The findings show that derivatives use has an inverse influence on firm value. The firms did not use derivatives as a risk management tool but for speculation motives. However, the corporate governance index significantly weakens this relationship. However, strong governance forces the managers to use derivatives for hedging purposes. The firm-specific factors, including size, age, leverage, cash, financial distress cost, dividend and growth opportunities, also significantly influence firm value. The findings are robust to the other estimation models.

The findings indicate that emerging economies like Pakistan are more prone to agency problems. The strong corporate governance structure helps firms turn the speculative motive of derivatives use into hedging purposes and mitigate the agency issues.

This empirical evidence suggests that good governance structures can help improve the impact of derivative usage on firm value.

To the best of the author's knowledge, this is the first study that examines the conditional role of corporate governance on the derivatives–value relationship from the viewpoint of agency problem/speculative motive.

The purpose of this paper is to understand the determinants affecting the adoption behavior of eCourier services and to establish a moderating role of resistance to change between behavioral intention and actual usage behavior.

Data were collected through a survey questionnaire that was distributed to the eCourier users. A total of 260 collected data were analyzed by using structural equation modeling.

The results of the study demonstrate that all the factors considered for the study have a significant impact on the adoption of eCourier except social influence and customer service. The results also confirm that there is no moderating effect of resistance to change in the relationship between behavioral intention and actual usage.

This research provides theoretical contribution by extending the practical knowledge focusing on the adoption intention of eCourier, and actual usage behavior using Unified Theory of Acceptance and Use of Technology model—a pertinent and unresearched topic in the existing literature that presents a number of potential avenues for further study.

This study provides a general understanding of consumers in underdeveloped nations and advances earlier research on the usage of e-commerce in the courier sector.

This study aims to examine the nexus of corporate governance with firms' financial risk-taking behavior under the corporate social responsibility (CSR) disclosures in the context of non-financial listed firms of an emerging economy.

This study investigates the relationship between corporate governance as evaluated by an index and several financial risks, including idiosyncratic, default and systematic risks. The connection of corporate governance with financial risks is also studied while considering the moderation of CSR disclosures. The data are collected from 2014 to 2018 of 73 top 100-index listed non-financial firms of Pakistan Stock Exchange (PSX). Panel regression fixed effect and 2-step generalized method of moments techniques are applied to confirm the hypothesis along with the diagnostic tests to confirm that all outcomes of models must be authentic and reliable.

The study’s findings confirm that enhancing the overall corporate governance measures resulted in an augment in the firm’s risk due to weak control and regulations prevailing in emerging economies. Moreover, CSR disclosures enhance stakeholder information, lessen information asymmetry about management policies and mitigate the risk associated with operational uncertainties.

This study has a practical implementation to policymakers that effective monitoring and controlling measures facilitate the corporate management for minimizing the financial risks. Further, the study’s findings shed light that implementing corporate governance measures is not enough to mitigate financial risks until supervisory measures in the form of CSR disclosures are not taken to analyse corporate governance effectiveness.

This paper enhances the key findings in the literature by examining the role of corporate governance measures with respect to firms’ financial risks considering the moderating role of CSR disclosures. Furthermore, this research adds to the body of knowledge regarding the implementation of monitoring measures that assist in the mitigation of firms’ financial risks hence firm value.

A huge variety of devices accumulates as well distributes a large quantity of data either with the help of wired networks or wireless networks to implement a wide variety of application scenarios. The spectrum resources on the other hand become extremely unavailable with the development of communication devices and thereby making it difficult to transmit data on time.

The spectrum resources on the other hand become extremely unavailable with the development of communication devices and thereby making it difficult to transmit data on time. Therefore, the technology of cognitive radio (CR) is considered as one of the efficient solutions for addressing the drawbacks of spectrum distribution whereas the secondary user (SU) performance is significantly influenced by the spatiotemporal instability of spectrum.

As a result, the technique of the hybrid filter detection network model (HFDNM) is suggested in this research work under various SU relationships in the networks of CR. Furthermore, a technique of hybrid filter detection was recommended in this work to enhance the performance of idle spectrum applications. When compared to other existing techniques, the suggested research work achieves enhanced efficiency with respect to both throughputs as well as delay.

The proposed HFDNM improved the transmission delay at 3 SUs with 0.004 s/message and 0.008 s/message when compared with existing NCNC and NNC methods in case of number of SUs and also improved 0.02 s/message and 0.08 s/message when compared with the existing methods of NCNC and NNC in case of channel loss probability at 0.3.

This paper investigates the role of psychological contract violation (PCV) as the antecedent of employee turnover intention. It also explores the role of job dissatisfaction and work disengagement as the sequential underlying mechanism of a positive effect of PCV on employee turnover intention.

Drawing on social exchange theory (SET), the authors postulate that PCV triggers negative reciprocity behaviour in employees, which leads to job dissatisfaction and work disengagement, which in turn develop into turnover intentions. The authors tested the research model on time-lagged data from 200 managers working in the banking sector of Pakistan.

The findings confirmed the hypothesis that employees experiencing PCV raise their turnover intentions because of a feeling of organisational betrayal which makes them dissatisfied and detached from their work.

This research advances the body of knowledge in the area of psychological contracts by identifying the mechanisms through which PCVs translate into employee turnover intentions.

This study aims to empirically examine the influence of financial constraints on firm carbon emissions. In addition to the role of financial constraints in firm-level carbon emissions, this study also examines this influence in the presence of governance, environmental orientation and firm-level attributes.

Using pooled ordinary least square, this study examines the impact of financial constraints on firm-level carbon emissions using a panel of 1,536 US firm-year observations from 2008 to 2019. This study also used two-step generalized method of moment–based dynamic panel data and two-stage least square approaches to address potential endogeneity. The results are robust to endogeneity and collinearity issues.

The results suggest that financial constraints enhance the carbon emissions of the firms. The economic significance of financial constraints on carbon emissions is more pronounced for the firms that do not report environment-related expenditure investment and those that are highly leveraged. The authors further document that firms with a nondiverse gender board signify a statistically significant impact of financial constraints on carbon emissions. These results are also economically significant, as one standard deviation increase in financial constraints is associated with a 3.340% increase in carbon emissions at the firm level.

Some implicit and explicit factors like corporate emissions policy and culture may condition the relationship of financial constraints with carbon emissions. Therefore, it would be worthwhile to consider these factors for future research. In addition, it is beneficial to identify the thresholds and/or quantiles at which financial constraints may significantly make a difference in enhancing carbon emissions.

The findings offer policy implications for investment in stakeholder engagement for capital acquisitions, thereby effectively enforcing environmental innovation and leading to a reduction in carbon emissions.

This study integrated governance and environment-oriented variables in the model to empirically examine the role of financial constraints on the carbon emissions of the firms in the USA over and above what has already been documented in the earlier literature.

This study aims to examine the impact of cultural values [power distance (PD), uncertainty avoidance (UC), individualism vs collectivism (IC) and time orientation] and users’ perceptions on the adoption of big data analytics (BDA) within the context of the United Arab Emirates (UAE) health-care sector. It uses the unified theory of acceptance and use of technology (UTAUT) model as its theoretical foundation.

A cross-sectional survey involving 256 health-care organization users in major hospitals across the UAE was conducted. Smart partial least squares (PLS) structural equation modeling was used to assess users’ behavioral intentions (BI) to use BDA in the health-care context.

Results indicate that performance expectancy, social influence, facilitating conditions and perceived trust significantly predicted respondents’ BI to use BDA. However, effort expectancy, perceived security and time orientation were found to have insignificant impacts on BI. Interestingly, the remaining cultural values (PD, UC and IC) did not significantly affect the relationship between social influence and BI in the context of BDA adoption in health care.

This study contributes to the literature by examining the role of cultural dimensions in BDA adoption within health-care organizations, particularly in the underrepresented UAE health-care context. Moreover, it extends the application of the UTAUT model to the BDA adoption in health care, providing insights into the factors affecting users’ BIs to use the technology.

This study assesses the impact of innovation diffusion theory (IDT), technology readiness index (TRI) and technology acceptance model (TAM) on the actual use of smart learning. This impact also accounts for the country-digital culture by moderating the effects of resistance to change (RTC) and mediating the role of attitude.

The authors gather data from 301 respondents from various academic institutions in the United Arab Emirates (UAE) by operationalizing established theoretical constructs. The authors adopt a covariance-based structural equation modeling (SEM) approach.

The results reveal that IDT and TRI significantly and positively affect attitudes toward implementing smart learning. Besides, the attitude fully mediates the relationship between IDT, TRI constructs and behavioral intention (BI). Moreover, this study proves that RTC plays a major role in converging BI to place smart learning into actual use.

The major limitation of the authors' work is that this work employs cross-sectional data from UAE only, and the data were gathered during the coronavirus disease 2019 (COVID-19) pandemic.

The stakeholders and administrators in government can benefit from the study findings to improve the efficiency and effectiveness of the implementation of smart learning, which will contribute to achieving stakeholders and administrators' strategic objectives.

The originality of this work stems from the incorporation of IDT, TRI and TAM constructs in the case of smart learning in UAE in post-COVID-19 scenarios.

This study investigates how the combined effects of big data ability and CRM capability could impact on an organization's strategic sales performance (SSP), and how the leadership support (LS) could moderate the relationships between SSP with CRM capability and customer retention ability.

Having inputs from the literature and resource-based view (RBV) theory, a model has been developed conceptually. The conceptual model was validated statistically using the partial least squares structural equation modeling (SEM) technique with 317 responses.

The study found that organizations' big data analytics (BDA) capability, along with customer relationship management (CRM) capability, positively and significantly impacts organizations' SSP. Also, the study found that LS has a moderating impact on organizations' SSP.

The study cannot be generalizable, as it is cross-sectional in nature. Also, the sample size for statistically validating the model is 317, which is not large enough to generalize the study findings. The study has used only five constructs and one moderator. With more constructs and other moderators, the boundary conditions of the model could have been increased, which could result a better explanative power of the model.

This study shows that organizations' big data and CRM capabilities are important for their SSP; therefore, managers must ensure that their organization has appropriate big data and CRM capabilities. Also, the study shows the significance of LS to increase the SSP of their organizations. Thus, organizational leadership must support big data and CRM-related capabilities and ensure employees are appropriately trained to successfully use these capabilities.

Only a limited number of studies are available on the combined impact of big data capability and CRM capability on an organization's strategic sales. How BDA could help organizations to improve their SSP has not been explicitly studied. The proposed model shows that these capabilities, along with the moderating effects of LS, impact on organizations' SSP. Thus, the proposed theoretical model is a unique model, and the study is novel.