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This study aims to develop a valid and reliable scale for measuring an integrated total quality and socially responsible management (TQSR-M) model, which affects business excellence.

Data were collected through a questionnaire in two phases (first for scale development and second for scale validation purpose) from managers employed in Pakistan Stock Exchange (PSX) listed companies. The structural equation modeling technique (SEM) was used to develop and validate the measurement and structural model.

This study confirmed the empirical validation of the eight distinct dimensions (top management, strategic planning management, human resource management, supplier management, customer management, social/community management and environmental management) of TQSR-M. Moreover, the validation of the TQSR-M model is further confirmed by testing the relationship between TQSR-M and the hypothetically associated business performance variables through SEM.

The measurement scale helps companies assess the TQSR-M model related to business excellence. It assists managers in identifying the factors for implementing total quality management (TQM) and corporate social responsibility (CSR) practices in their organization for developing TQM and CSR plans, policies and strategies.

This study confirmed that combined TQM-CSR approaches are potential sources of achieving business excellence, sustainable competitive advantages and improving the quality of life of the workforce, local communities and the environment in particular and even of society in general.

Despite such studies exploring the association between TQM and CSR, it remains unclear how the integration of both the concepts develops. Academics and managers lack a tool to measure TQM-CSR together. Therefore, this study integrates both distinct areas of TQM and CSR into a single comprehensive model by developing a measurement scale.

The purpose of this paper is to develop an integrated conceptual framework of total quality management and corporate social responsibility.

This study is based on stakeholder theory, which stresses the satisfaction of all stakeholders. Therefore, companies generate profit for their shareholders by producing high quality products and services to emphasize human dignity and to satisfy their employees without harming people and the natural environment.

The results of the study suggest an integrated conceptual framework by identifying the critical factors that are parallel between quality management and social responsibility to satisfy key stakeholders’ demands.

This study is conceptual in nature, and empirical research is needed to identify the critical factors that promote the application of TQM and CSR practices, which are limited.

The proposed conceptual framework may facilitate the management of an organization to evaluate its quality and social programs and will highlight problem areas that can be improved. This study contributes to the literature on TQM and CSR and captures the important factors for effective TQM and CSR practices. The conceptual framework will help researchers and firms to recognize TQM and CSR initiatives and establish a strengthened relationship between corporate strategy and social conditions.

Previous studies have been conducted separately in the areas of TQM and CSR, and there are still not sufficient number of studies to simultaneously integrate quality management and social responsibility. Thus, there is a critical research gap, which raises the question of how the integration of TQM and CSR practices can be developed. There is a need to recognize the mechanism through which the specific element of CSR would be included as an implicit and/or explicit aspect or whether it should be addressed along with TQM. Therefore, this study proposes an integrated conceptual framework that can be applied to the broader issues of responsibility rather than just quality.

The purpose of this study is to develop an Islamic corporate social responsibility (ICSR) model.

Based on Qur’anic verses and previous literature, the authors aim to develop an ICSR model with an extension of the corporate social responsibility (CSR) theory of Carroll (1979).

This study extends the theory of Carroll (1979) using an operational definition of CSR that encompasses the economic, legal, ethical and philanthropic dimensions of CSR from an Islamic perspective. This ICSR model is applicable to both Islamic and non-Islamic business systems because both Islamic and Western CSR have common humanitarian grounds.

The conceptual research is not tested in this article. Further, not all Islamic principles are integrated in this model.

Many Western theoreticians have attempted to offer theoretical, moral and ethical grounds for CSR initiatives. However, these attempts have been broadly criticized for problems relating to justification, conceptual clarity and possible inconsistency and for failing to provide adequate ethical guidance to business executives who must determine which course to pursue and their level of commitment. Therefore, there is a need to develop the concept of CSR, which has gained popularity and wide acceptance among the Western and Islamic business communities, especially from an Islamic perspective.

The purpose of this study is to examine the accuracy of combined models with the individual models in terms of forecasting Euro against US dollar during COVID-19 era. During COVID, the euro shows sharp fluctuation in upward and downward trend; therefore, this study is keen to find out the best-fitted model which forecasts more accurately during the pandemic.

The descriptive design has been adopted in this research. The three univariate models, i.e. autoregressive integrated moving averages (ARIMA), Naïve, exponential smoothing (ES) model, and one multivariate model, i.e. nonlinear autoregressive distributive lags (NARDL), are selected to forecast the exchange rate of Euro against the US dollar during the COVID. The above models are combined via equal weights and var-cor methods to find out the accuracy of forecasting as Poon and Granger (2003) showed that combined models can forecast better than individual models.

NARDL outperforms all remaining individual models, i.e. ARIMA, Naïve and ES. By applying a combination of different models via different techniques, the combination of NARDL and Naïve models outperforms all combination of models by scoring the least mean absolute percentage error value, i.e. 1.588. The combined forecasting of NARDL and Naïve techniques under var-cor method also outperforms the forecasting accuracy of individual models other than NARDL. It means the euro exchange rate against the US dollar which is dependent upon the macroeconomic fundamentals and recent observations of the time series.

The findings could help the FOREX market, hedgers, traders, businessmen, policymakers, economists, financial managers, etc., to minimize the risk indulged in global trade. It also helps to produce more accurate results in different financial models, i.e. capital asset pricing model and arbitrage pricing theory, because their findings may not be useful if exchange rate fluctuations do not trace effectively.

The NARDL models have been applied previously in different time series and only limited to the asymmetric or symmetric relationships. This study is using it for the forecasting exchange rate which is almost abandoned in earlier literature. Furthermore, this study combined the NARDL with univariate models to produce the accuracy which itself is a novelty. Moreover, the findings help to enhance the effectiveness of different financial theories as well.

Building information modelling (BIM) has transformed the traditional practices of the Architecture, Engineering and Construction (AEC) industry. BIM creates a collaborative digital representation of built environment data. Competitive advantage can be achieved with collaborative project delivery and rich information modelling. Despite the abundant benefits, BIM’s adoption in the AEC is susceptible to confrontation. A substantial impediment to BIM adoption often cited is data interoperability. Other facets of interoperability got limited attention. Other academic areas, including information systems, discuss the interoperability construct ahead of data interoperability. These interoperability factors have yet to be surveyed in the AEC industry. This study aims to investigate the effect of interoperability factors on BIM adoption and develop a comprehensive BIM adoption model.

The theoretical foundations of the proposed model are based on the European interoperability framework (EIF) and technology, organization, environment framework (TOE). Quantitative data collection from construction firms is gathered. The model has been thoroughly examined and validated using partial least squares structural equation modelling in SmartPLS software.

The study’s findings indicate that relative advantage, top management support, government support, organizational readiness and regulation support are determinants of BIM adoption. Financial constraints, complexity, lack of technical interoperability, semantic interoperability, organizational interoperability and uncertainty are barriers to BIM adoption. However, compatibility, competitive pressure and legal interoperability do not affect BIM adoption.

Finally, this study provides recommendations containing the essential technological, organizational, environmental and interoperability factors that AEC stakeholders can address to enhance BIM adoption.

To the best of the authors’ knowledge, this paper is one of the first studies to combine TOE and EIF in a single research model. This research provides empirical evidence for using the proposed model as a guide to promoting BIM adoption. As a result, the highlighted determinants can assist organizations in developing and executing successful policies that support BIM adoption in the AEC industry.

Considering the economic dimension of sustainability, the purpose of this paper is to analyze the risk of bankruptcy in the Pakistani firms of the non-financial sector from years 1995 to 2017.

Three techniques were used which include multivariate discriminant analysis (MDA), logit regression and multilayer perceptron artificial neural networks. The accounting data of firms were selected one year before the bankruptcy.

Findings were obtained by comparing and analyzing the methods which show that neural networks model outperforms in the prediction of bankruptcy. They further conclude that profitability and leverage indicators have the power of discrimination in bankruptcy prediction and the best variables to predict financial distress are also found and indicated.

Practically, this study may help the firms to better anticipate the risks of getting bankrupt by choosing the right method and to make effective decision making for organizational sustainability.

Three different techniques were used in this research to predict the bankruptcy of non-financial sector in Pakistan to make an effective prediction.

The purpose of this paper is to examine the influence of religiosity, gender and Islamic educational background of Muslims on zakat compliance. It also aims to identify which dimensions of religiosity are significantly related to zakat compliance.

The study uses a self-administered questionnaire that was distributed to working Muslims individuals in Klang Valley, Malaysia. Analysis of the data was based on 690 usable questionnaires.

The findings show that religiosity had a significant influence on zakat compliance and three dimensions of religiosity, namely obligation, virtues and vices, and optional ritual, were significantly related to zakat compliance. Gender was also significantly related to zakat compliance, but in a negative direction, suggesting that Muslim working females are less compliant to zakat obligations compared to their male counterparts. It is found that formal Islamic educational background had no significant influence on zakat compliance.

Given the importance of zakat collection to the growth of the economy and society, the findings of this paper might provide some insights to Muslim-majority countries and zakat institutions which areas require more attention to encourage zakat payment among Muslims.

Compared to prior zakat studies, the findings of this study were derived from a larger sample size of Muslim working respondents. Furthermore, this study also identifies which dimensions of religiosity are significantly related to zakat compliance. Hence this study enriches the scarce literature on zakat and religiosity.