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The garments/textiles industry is the second most polluting industry in the world. However, efforts to understand and curtail its adverse environmental impacts have not been commensurate, and previous works have largely been fragmented and disjointed. This study aims to coduct a comprehensive and systematic green supply chain management (GSCM) investigation on this industry, where a multidimensional framework involving green supply chain practices and performance is developed, validated and applied.

A framework consisting of 12 constructs (8 on practices and 4 on performance) and their underlying measures were developed through an extensive literature review. A survey methodology was used to obtain responses from 403 garment-manufacturing firms in Bangladesh, one of the leading garment producers in the world. Confirmatory factor analysis and structural equation modeling were used first to validate the first- and second-order constructs and then test the hypothesized relationships.

Internal environmental management and cooperation with stakeholders were identified as necessary precursors for implementing the second-order green supply chain practices comprising green design, green purchasing, green manufacturing, green transportation, green facilities and end-of-life management. The implementation of green supply chain practices was found to have a (direct) positive impact on environmental, economic and operational performance and an indirect positive impact on organizational performance. Similarly, both economic and operational performance was found to impact organizational performance positively. Surprisingly, a negative relationship (albeit low) was observed between environmental and organizational performance. Also, garment-manufacturing firms were found to have been unable to translate their IEM capabilities into strategic and long-term cooperation with stakeholders.

The study fills a gap in the literature about applying/implementing GSCM in the garment industry. Future studies in the garment industry and elsewhere could utilize the framework to understand further the synergistic impact of green supply chain practices on performance.

The findings provide practitioners, policymakers and organizations associated with the garment industry with critical insights on the various opportunities and challenges in adopting GSCM. Also, the positive impact of green supply chain practices on performance could provide the impetus for manufacturing firms to adopt GSCM.

A comprehensive GSCM investigation on the garment industry has not been previously attempted and constitutes the novelty of this work. Also, Bangladesh is the second-largest garment exporter worldwide, making this study contribution even more valuable.

This study investigates the impact of economic policy uncertainty (EPU) on corporate sustainability [environmental, social and governance (ESG)] performance and aims to explore whether uncertainty-induced sustainability performance is influenced by the firm's life cycle (LC).

The study uses data from European non-financial firms listed during the period from 2002 to 2022 to extend the nascent literature regarding EPU and sustainability performance while applying a dynamic panel data regression analysis (Generalized Method of Moments - GMM System) on 11,462 firm-year observations of 1,869 European firms.

The authors find overwhelming evidence that policy uncertainty affects the sustainability performance of European firms. The firms restrict their environmental and governance-related activities and address immediate issues to survive during periods of high EPU. Conversely, the firms increase their social engagements to decrease uncertainty-induced information asymmetry. The authors' results show that the intensity and type of sustainability performance are also influenced by the firm's LC. The results imply that board gender diversity (BGD) increases while power concentration with the chief executive officer (CEO) decreases sustainability performance.

These findings have important implications for policymakers, potential investors, firm management and other stakeholders given the firms' access to resources and preferences to encounter uncertainty vary across different LC stages.

To the best of the authors' knowledge, this is the first study that investigates the role of the firm's LC in the relationship between policy uncertainty and sustainability performance in the European context.

This paper aims to examine the association between political connections, political uncertainty and audit fees. The authors use various measures of political connections and uncertainty: political connections (civil and military), political events (elections) and a general measure of political stability (i.e. a world bank index).

The authors measure the association between political connections, political uncertainty and audit fees. Audit fees reflect auditors’ perceptions of risk. The authors examine auditors’ business risk, clients’ audit and business risk after controlling for the variables used in prior audit fee research.

Results indicate that civil-connected firms pay significantly higher audit fees than non-connected firms owing to the instability of civil-political connections. Military-connected firms pay significantly lower audit fees than non-connected firms owing to the stable form of government. Furthermore, considering high leverage as a measure of clients’ high audit risk and high return-on-assets (ROA) as a measure of clients’ lower business risk, the authors interact leverage and ROA with civil and military connections. The results reveal that these risks moderate the relationship between political connection and audit fees. Election risk is independent of risk associated with political connections. General political stability reinforces the theme that a stable government results in lower risks.

The authors combine cross-sectional measures of political uncertainty (civil or military connections) with time-dependent measures (general measures of political instability and elections).

In this study, the authors analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during the COVID-19 pandemic and Russia–Ukraine conflict period.

The study used a mix of wavelet-based approaches, including continuous wavelet transformation and discrete wavelet transformation. The analysis used data from the Geopolitical Risk index (GP{R), Dow Jones Sukuk index (SUKUK), Dow Jones Islamic index (DJII), Dow Jones composite index (DJCI), one of the top crude oil benchmarks which is based on the Europe (BRENT) (oil fields in the North Sea between the Shetland Island and Norway), and Global Gold Price Index (gold) from May 31, 2012, to June 13, 2022.

The results of the study indicate that during the COVID-19 and Russia–Ukraine conflict period geopolitical risk (GPR) was in the leading position, where BRENT confirmed the lagging relationship. On the other hand, during the COVID-19 pandemic period, SUKUK, DJII and DJCI are in the leading position, where GPR confirms the lagging position.

The present study is unique in three respects. First, the authors revisit the influence of GPR on global asset markets such as Islamic stocks, Islamic bonds, conventional stocks, oil and gold. Second, the authors use the wavelet power spectrum and coherence analysis to determine the level of reliance based on time and frequency features. Third, the authors conduct an empirical study that includes recent endogenous shocks generated by health crises such as the COVID-19 epidemic, as well as shocks caused by the geopolitical danger of a war between Russia and Ukraine.

1. We analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during the COVID-19 pandemic and Russia–Ukraine conflict period.

2. The results of the wavelet-based approach show that Dow Jones composite and Islamic indexes have observed the highest mean return during the study period.

3. GPR and BRENT are estimated to have the highest amount of risk throughout the observation period.

4. Dow Jones Sukuk, Islamic and composite stock show similar trend of volatility during the COVID-19 pandemic period and comparatively gold observes lower variance during the COVID-19 pandemic and Russia–Ukraine conflict.

We analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during the COVID-19 pandemic and Russia–Ukraine conflict period.

The results of the wavelet-based approach show that Dow Jones composite and Islamic indexes have observed the highest mean return during the study period.

GPR and BRENT are estimated to have the highest amount of risk throughout the observation period.

Dow Jones Sukuk, Islamic and composite stock show similar trend of volatility during the COVID-19 pandemic period and comparatively gold observes lower variance during the COVID-19 pandemic and Russia–Ukraine conflict.

This study empirically investigates the role of product market competition and mature-stage firm life cycle on the relation between corporate social responsibility (CSR) and market performance in an emerging market context – Malaysia.

The authors construct a comprehensive CSR index toward the economy, environment and society (EES) and apply both Ordinary Least Squares (OLS) and Two-Stage Least Squares (2SLS) instrumental variables (IV) approaches to test the hypotheses of the study.

The authors find that EES-based CSR generally enhances firms' market performance; however, the level of product market competition undermines the market performance of socially and economically responsible firms. In addition, the study results indicate that mature-stage firm life cycle with more involvement in CSR activities shows better market performance. However, the endogeneity check of CSR suggests that both CSR and mature-stage firms are mutually exclusive in influencing market performance. The study findings are robust to alternative measures and different identifications of high and low default risk situations of sample firms.

This study carries practical policy implications for the listed firms, regulators and stakeholders in general. For example, regulatory bodies may promote greater involvement in CSR activities by listed companies in the Malaysian stock market. Investors and other market participants should be aware of factors influencing socially responsible firms' market performance such as the corporate life cycle and the level of competition in product markets.

This research work responds to the call of regulatory bodies in Malaysia at a time when the Malaysian economy is under threat of environmental distraction practices by the palm oil industry and import ban by the largest export market, i.e. the European Union by 2030. The study also contributes to the theoretical literature by refining the moderating role of product market competition and mature-stage life cycle on the relationship between CSR and market performance from the perspectives of resource-based and stakeholder theories in emerging economy settings.

Islamic marketing ethics focus on the principles of equity, justice and value maximization for the welfare of society. These ethics play a vital role in elevating the standards of customer behavior. The strategy of focusing customer is now considered as important element because of rapidly changing marketing trends in Islamic banks. Therefore, the purpose of this study is to find out the important features of Islamic marketing ethics and identify their effect on customer’s satisfaction in Islamic banking.

This study is descriptive and quantitative. Data were collected from 1000 customers of Islamic banks by applying convenient sampling technique. Smart PLS was used to check the scale validation by confirmatory factor analysis. To test the hypotheses, structural equation modeling technique was used.

Results enlightened that Islamic marketing ethics play a significant role in enhancing the customer’s satisfaction. Islamic banks should focus on marketing mix along with Islamic and ethical perspectives to improve the customer’s satisfaction level.

This study highlighted that Islamic marketing ethics have great impact on customer satisfaction. Therefore, Islamic banks need to concentrate on the ethical perspective of Islamic marketing in order to develop long term customer relationships. Islamic banks need to revise their marketing practices, and they should align their marketing tactics with ethical Islamic boundaries. They need to design, communicate and enforce the code of Islamic ethics within organizations.

This paper fulfills an identified need to study how Islamic marketing ethics effect customer satisfaction.

The Managerial Auditing Journal (MAJ) started publication in 1986 and celebrates its 35th year of publication in 2020. The purpose of this study is to provide a detailed bibliometric analysis of the journal’s primary trends and themes between 1986 and 2019.

This study uses the Scopus database to analyse the most prolific authors in the MAJ along with their affiliated institutions and countries; the work also identifies the MAJ articles cited most often by other journals. A range of bibliometric devices is applied to analyse the publication and citation structure of MAJ, alongside performance analysis and science mapping tools. The study also provides a detailed inter-temporal analysis of MAJ publishing patterns.

The MAJ publishes around 40 articles each year with citations of this work steadily growing over time. The journal has attracted contributors from around the globe, most often affiliated with the USA, the UK and Australia. Thematic evolution of the journal’s themes reveals that it has expanded its scope to include topics such as internal auditing, internal control and corporate governance, whilst co-authorship analysis reveals that the journal’s collaboration network has grown to span the globe.

As this study uses data from the Scopus database, any shortcomings therein will be reflected in the study.

This study provides the first overview of the MAJ’s publication and citation trends as well as the evolution of its thematic structure. It also suggests future directions that the journal might take.

Wireless Body Area Network (WBAN) technology envisions a network in which sensors continuously operate on and obtained critical physical and physiological readings. Sensors deployed in WBANs have restricted resources such as battery energy, computing power and bandwidth. We can utilize these resources efficiently. By devising a mechanism that is energy efficient with following characteristics, i.e. computational complexity is less, routing overhead is minimized, and throughput will be maximum. A lot of work has been done in this area but still WBAN faces some challenges like mobility, network lifetime, transmission range, heterogeneous environment, and limited resources. In the present years well, contemplative studies have been made through a large body to reach some holistic points pertaining to the energy consumption in WBAN. Thus we/put forward appropriate algorithm for energy efficiency which can vividly corroborate the advances in this specific domain. We have also focused on various aspects and phases of the studies like study computational complexity, routing overhead and throughput type of characteristics. There is still a room for improvement to get the desired energy optimization in WBAN. The network performance mainly relies upon the algorithm used for optimization process. In this work, we intended to develop an energy optimization algorithm for energy consumption in WBAN which is based on evolutionary algorithms for inter-BAN communications using cluster-based routing protocol.

In this paper we propose a meta heuristics algorithm Goa to solve the optimization problem in WBAN. Grasshopper is an insect. Generally, this insect is viewed individually and creating large swarm in nature. Figure 5 shows the individual grasshoppers' primitive patterns in swarm. Figure 7 depicts the pseudo code of Goa. In Goa, experiments are done to view the behavior of grasshoppers in swarm. How they gradually move towards the stationary and mobile target. Through experimentation it is conceived that swarm gradually converge towards their target. Another interesting pattern related to convergence of grasshopper is that it slowly towards its target. This shows that grasshopper does not trapped in local optima. In starting iterations of exploration process Goa, search globally and in last iterations it searches local optima. Goa makes the exploration and exploitation process balanced while solving challenging optimization problems.

Energy efficiency is achieved in the optimization process of cluster formation process. As the use of proposed algorithm Goa creates the optimal number of clusters. Shorter cluster lifetime means more times clustering procedure is called. It increases the network computational cost and the communication overhead. Experimentation results show that proposed Goa algorithm performs well. We compare the results of Goa with existing optimization Algorithms ACO and MFO. Results are generated using MATLAB.

A lot of work has done for the sake of energy optimization in WBAN. Many algorithms are proposed in past for energy optimization of WBAN. All of them have some strengths and weaknesses. In this paper we propose a nature inspired algorithm Goa. We use the Goa algorithm for the sake of energy optimization in WBAN.