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Pipelined analog-to-digital converters (ADCs) are widely used in electronic circuits. The purpose of this paper is to propose a new digital background calibration method to correct the capacitor mismatch, finite direct current (DC) gain and nonlinearity of residue amplifiers in pipelined ADCs.

The errors are corrected by defining new functions based on generalized Newton–Raphson algorithm. Although the functions have analytical solutions, an iterative procedure is used for calibration. To accelerate the calibration process, proper initialization for the errors is identified by using evaluation estimation block and solving inverse matrix.

Several behavioral simulations of a 12-bit 100MS/s pipelined ADC in MATLAB indicate that signal-to-(noise + distortion) ratio (SNDR) and spurious free dynamic range (SFDR) are improved from 30dB/33dB to 70dB/79dB after calibration. Calibration is achieved in approximately 2,000 clock cycles.

The digital part of the proposed method is implemented on field-programmable gate array to validate the performance of the pipelined ADC. The experimental result shows that the degradation of SNDR, SFDR, integral nonlinearity, differential nonlinearity and effective number of bits is negligible according to fixed-point operation vs floating-point in simulation results.

The novelty of this study is to use Newton–Raphson algorithm combined with appropriate initialization to reduce the number of divisions as well as calibration time, which is suitable in the recent nano-meter complementary metal oxide semiconductor technologies.

With the emergence of the basis of intellectual capital, competitive advantage was considered as the focus of competitive strategies, and the knowledge resulting from this approach became the basis for the development and strategic directions of companies in various fields of the company such as finance and accounting. The purpose of this study is sustainable intellectual capital reporting framework and evaluation of key examples in the context of capital market companies.

The methodology of this study was exploratory from the point of view of the developmental result and based on the type of objective and qualitative and quantitative basis was used to collect the data. The statistical population in the qualitative part was university experts and in the quantitative part financial managers of capital market companies. Data collection tools were interviews in the qualitative part and fuzzy scales and language comparison checklists in the quantitative part. Therefore, first through three stages of coding, the dimensions of the model were identified, and based on the fuzzy Delphi analysis, the reliability level was determined through the average between the first round and the second round of Delphi. Finally, through the default tests, the appropriate fuzzy model was first determined, and then hierarchical fuzzy analysis based on TODIM's approach was used to determine the most favorable axis of sustainable intellectual capital reporting.

The results in the qualitative part indicate the existence of 3 categories and 6 components and 39 conceptual themes in the form of a six-dimensional model. In the quantitative part, the results showed that by confirming the dimensions identified through fuzzy Delphi analysis, the most desirable axis of intellectual capital reporting is the component of technological capital reporting, which can play a more effective role in sustainable reporting.

This study, relying on the importance of the consequences of sustainable intellectual capital reporting, tries to evaluate the consequences of this field of financial reporting due to the lack of a coherent theoretical framework about capital market companies. In addition, the framework presented in this study promotes integrated thinking for firms to it would provide some level of incentive to those charged with governance concerning the voluntary compliance with the sustainable intellectual capital reporting framework.

The purpose of this paper is to investigate the extent to which ethical climate mediates between responsible leadership and employee turnover intention.

This study used the deductive logic approach to develop hypotheses and analytical framework. Data were collected through convenience sampling technique from branch-level employees of the Bank of Punjab Pakistan working in Lahore, Gujranwala and Gujrat Region. Data were analyzed to test the hypotheses via descriptive analysis and structural equation modeling using SPSS and Smart PLS.

Results confirmed a significant positive association between responsible leadership and ethical climate and a negative association between ethical climate and employee turnover intention. Furthermore, results also confirmed the mediating role of ethical climate between responsible leadership and turnover intention.

This study enhances the existing literature regarding responsible leadership, ethical climate and turnover intention. It also helps professionals to review their policies.

The theoretical contribution of this paper lies in exploring the relationship between responsible leadership and ethical climate. The current study empirically examined the mediating role of an ethical climate between responsible leadership and employee turnover. It contributes also to the literature regarding responsible leadership, ethical climate and turnover intention.

With ambidextrous innovation (AI) gaining paramount importance in the manufacturing sectors of emerging markets, this research aim to explore how leadership and management support (LMS) amplify this type of innovation by leveraging knowledge sources (KS). The study further probes the knowledge management capability (KMC) as moderating effect between KS and AI.

Using the convenient random sampling technique of a sample of 340 professionals within Pakistan’s manufacturing realm, data was collated via a structured questionnaire. The subsequent analysis harnessed the power of the variance-based partial least squares structural equation modelling approach.

This research underscores the pivotal role of LMS in elevating both facets of AI i.e. exploitative innovation (ERI) and exploratory innovation (ERT). KS emerge as a vital intermediary factor that bridges LMS with both types of innovation. Notably, the potency of KS in driving AI is significantly boosted by an organization’s KMC.

This study fills existing gaps in contemporary research by offering a nuanced perspective on how LMS enrich an organization’s dual innovation spectrum via KS. It sheds light on the symbiotic interplay of leadership, knowledge flows and innovation in Pakistan’s burgeoning manufacturing sector.

This study aims to investigate the impact of corporate social responsibility (CSR) on the financial distress (FD) of firms listed on the Pakistan Stock Exchange (PSX). Furthermore, the moderating effect of corporate governance (CG) on the CSR–distress relationship is investigated in this study.

The final sample of the study includes 117 companies from 2008 to 2021. The sample firms' CSR engagement is assessed using a multidimensional financial approach, and the likelihood of FD is determined using Altman's Z-score. The governance level is measured using the governance index, which includes 29 governance provisions. To achieve the research objectives, the system generalized method of moments estimator is used. Furthermore, several tests are performed to assess the robustness of the study's findings. The analysis was carried out using STATA software version 15.

The authors find that CSR is significantly inversely related to FD. The governance mechanism was discovered to be inversely related to FD. Furthermore, corporate governance strengthens the negative relationship between CSR and FD. In addition, the authors find that CSR is significantly inversely related to FD in firms with strong CG mechanisms but has no effect on FD in firms with weak CG mechanisms.

The findings of this study provide policymakers, business managers, regulators and investors with a better understanding of the relationship between the quality of CSR investments and the likelihood of FD in Pakistani firms, as well as the role of CG in this context.

This study contributes to our understanding of the role of CG in the CSR-distress relationship in an emerging market. This suggests that policymakers should prioritize CG quality while anticipating the impact of CSR on corporate FD.

Corporate social responsibility (CSR) has gained tremendous importance after several corporate scandals, financial crises and the rise of the hyper-competitive world. Firms must address multiple stakeholders’ interests to increase firm value. This study aims to investigate the effect of CSR on firm value. This study also examines the mediating role of enterprise risk management (ERM) and the moderating influence of corporate governance (CG) in this CSR-firm value relationship.

The sample of the study comprises 119 Pakistan Stock Exchange (PSX) listed firms and the study covers the period from 2010 to 2021. The corporate social responsibility performance has been quantified across five dimensions. These aspects are product, environment, employee relations, diversity and community. Four proxies i.e. strategy, operation, reporting and compliance, have been used to measure ERM. The governance quality of the sample companies was evaluated using the governance index, which included 29 governance provisions. The authors used the dynamic panel data technique (system-GMM) is used to achieve the objectives of the study. Furthermore, a firm’s engagement in CSR activities can also be measured through a multinational financial approach to check the robustness of the result.

Based on the regression analysis, the authors discovered that CSR was positively connected with firm value, validating the stakeholder view of CSR. Furthermore, following Baron and Kenny’s (1986) mediation technique, the findings confirm that ERM mediates this association. These results are robust by using the bootstrapping tests by Preacher and Hayes (2004). Furthermore, the result shows that corporate governance (CG) is positively connected with firm performance, and this relationship is strengthened in the presence of an effective governance system in the organization.

This study provides useful insights to regulators, investors and policymakers to consider CSR as a value-enhancing factor and encourage the development of enterprise risk management and compliance with CG mechanisms to improve firm value.

The presented analysis strengthens the existing CSR–firm value relationship by analyzing the mediating and moderating roles of ERM and CG, which have not yet been tested, particularly in the context of Pakistan.

This study aims to investigate the determinants of localised corporate social responsibility (LCSR) activities in Pakistan. The present study explores factors influencing the corporate sector to promote the welfare of local areas where the company has located its manufacturing plants.

The authors selected 100 companies listed on the Pakistan Stock Exchange. Data were collected from the companies’ financial reports issued from 2012 to 2017 (N = 700). The authors analysed the data using fixed- and random-effects regression models to test the factors influencing LCSR activities.

The findings indicate that directors’ ancestry significantly enhances LCSR. This implies that boards with a greater number of directors whose names indicate their relevant ancestry are more likely to engage in LCSR. Moreover, environmental-protection activity by the corporate sector promotes LCSR initiatives. However, Pakistan’s corporate sectors are not promoting the essential aspects of their workers’ welfare, e.g. health and education.

The present study was limited to the directors’ ancestry, environmental corporate social responsibility (CSR), CSR for factory workers and donation. Other factors, such as culture and language, may play an important role in determining LCSR.

The results suggest that the Security and Exchange Commission of Pakistan should emphasise the importance of LCSR to develop rural areas and devise meaningful policy for CSR. These findings provide substantial evidence that regulators and policymakers should encourage the inclusion of LCSR by firms listed on the stock exchange to increase environmental protection through CSR policy.

To the best of the authors’ knowledge, this study is the first to explore the determinants of LCSR. Moreover, the present study investigates for the first time the influence of directors’ ancestry on rural development in any of Asia’s developing countries, including Pakistan. The findings of this study contribute theoretically and empirically to the literature.

This study examined the causes of academic stress amongst undergraduate students in the Department of Quantity Surveying to ascertain whether stress has an influence on their academic performance.

This research explores the relationships between these constructs: academic stress, non-academic stress, coping strategies and academic performance, using a survey questionnaire to collect data from 190 undergraduate students in the Quantity Survey department. Descriptive statistics have been used to analyse the data and a path analytical approach has been adopted to evaluate the relationship between the constructs discussed in the paper.

Significant linear associations have been established between all the proposed paths and the outcome factor (p < 0.00). Coping strategies were an important mediator (p = 0.000), as they explained 32.9% of the association between academic stress and non-academic stress. However, the findings have shown that the stress faced by students is an optimal degree of stress that improves learning capabilities.

Explanation and clarification of the effects of academic and non-academic stress and coping mechanisms on the academic performance of university undergraduate students could help to reduce the risk of suicide amongst the teeming youths. It will also afford the university administration the opportunity to engender stress-free environment that is conducive for learning through the formulation of appropriate policies that promote “balanced learning” for the students. The outcome of this study may provide a launch pad for researchers who are interested in knowing how the possible causes of stress may impact on the health of university students.

The findings will be of great importance to the academic advisers and university administration in developing a flexible academic calendar and adopt policies that will eliminate academic stress and promote strategies to cope with non-academic stress. The study is the first attempt to examine academic stress, non-academic stress, coping strategies and academic performance in a single research in the Nigerian context due to limited literature found. This study has pedagogical implications to education practice by offering tertiary institutions the opportunity to appraise and device a means of managing students' stress by identifying their needs and increase students' coping skills based on prevailing modalities that give students' opportunities to strengthen the strategies of coping.

Implementing a green strategy to enhance the competitiveness of enterprises is a hot topic in current research. Although most enterprises have formed a green strategy orientation (GSO), it has not been transformed into green competitiveness (GC). Prior studies have not thoroughly studied the effect and mechanism of GSO on GC. To fill this research gap, based on optimal distinctiveness theory, this paper discusses the mediating role of two kinds of green innovation (GI) in the GSO–GC relationship and the moderating role of big data capability (BDC).

This study adopts the quantitative research methods of multiple linear regression, Bootstrap and structural equation modeling (SEM). Data were collected through a questionnaire and a random sampling method was used to survey middle and senior managers and professionals in manufacturing enterprises. About 400 questionnaires were distributed, and 342 valid questionnaires were collected.

The conclusions show that GSO significantly positively affects GI and GC. Still, it turns out that only strategic green innovation (SGI) mediates the GSO–GC relationship. BDC can positively moderate the mediation effect of SGI between GSO and GC, thus supporting the moderated mediation model.

This study used a survey questionnaire from Chinese manufacturing enterprises to collect data, but the sample size was limited. Furthermore, the mediating mechanism by which GSO affects GC requires further exploration. This study directly establishes the GSO–GC relationship based on the optimal distinctiveness theory, making an essential contribution to the literature on GSO and GC. At the same time, this paper uses GI as a bridge to connect the relationship between GSO and GC, enriching the literature on GI. In addition, we consider BDC to be a moderator, expanding the boundaries of the GSO–GC relationship.

This study provides new knowledge and insights for manufacturing enterprises to construct and implement green strategies to achieve GC. More importantly, managers should attach great importance to the critical role of SGI and BDC.

This study understands the importance of GSO, SGI and BDC to GC in theory and practice.