The pursuit of good governance by companies confronts a fundamental challenge: defining what constitutes “good governance”. Existing corporate governance codes and their implementation documents fall short of offering a clear answer to this crucial question. Despite the establishment of a reference framework years ago, the focus has shifted from defining the objectives of good governance to a consensus on the means of achieving these objectives. Unfortunately, this consensus often absolves stakeholders from providing detailed explanations. Achieving effective good governance necessitates a shift in focus towards the underlying goals of governance structures. Two potential approaches emerge in this context. While many companies rely on codes without explicitly outlining their objectives, there is a compelling case for urging or mandating them to articulate the purposes of the governance methods they employ in their reports. This level of specificity has the potential to enhance the reflective qualities of the transparency process, fostering a more comprehensive understanding of the governance landscape. Beyond merely discussing the objectives of corporate governance, the pursuit of good governance necessitates the implementation of instruments whose efficacy transcends reliance solely on market discipline. The aim is not to undermine the imperatives of transparency and justification. Instead, the intention is to recognize that these elements, while essential, do not independently ensure the effectiveness of soft law instruments, such as governance codes. Nowadays, it is crucial to assess the extent to which traditional corporate governance codes respond to the needs of companies in the era of digitalization and sustainability. Therefore, conducting a critical analysis of the existing corporate governance codes will contribute in shedding light on the gaps of these instruments to come up with recommendations for improvements. Aims and objectives: This article will focus on the following areas: Defining the role and purpose of corporate governance codes in enhancing corporate performance and accountability and discussing the challenges and limitations of corporate governance codes, including compliance issues and enforcement challenges. Presenting empirical evidence on the impact of corporate governance codes on corporate behavior and analyzing, through the principle of comply or explain, whether code adherence leads to improved corporate governance practices and financial performance. Discussing emerging trends in corporate governance and offering recommendations for improving the effectiveness of corporate governance codes.

Islamabad’s 2019 ban on single-use plastic shopping bags aimed to reduce plastic waste, but compliance is limited. This study evaluates the effectiveness of the ban as well as other factors in curtailing plastic bag use in Islamabad. Regression modeling within a rational choice framework analyzed survey data from 406 retailers across 18 selected urban and rural markets. We found that the subjective belief that a fine was unlikely (β = −16.10; t = −3.90; p < 0.001), likely (β = −24.99; t = −4.95; p < 0.001), or very likely (β = −43.84; t = −4.07; p < 0.001) for selling bags versus very unlikely was significantly associated with lower usage. Additionally, older retailer age (β = −0.25; p < 0.001) and more education (β = −0.77; p < 0.01) were associated with lower plastic bag usage. Business registration (β = −3.94; p < 0.10) and trade membership (β = −4.04; p < 0.05) also decreased use. Rural location (zone II: β = 13.28; p < 0.001) and plastic bags stock availability (β = 16.75; p < 0.001) increased use. Awareness, viewing bags as “Good”, unlikely fines and lack of substitutes lowered use. Results provide insights to inform more effective policies for reducing plastic waste.

This study investigates the impact of supply chain agility on customer value and customer trust while investigating the role of price sensitivity as a mediating variable in the healthcare industry. A quantitative methodological approach was used. This was cross-sectional descriptive research based on a survey method, and data were collected using a structured questionnaire. The sample consisted of 384 respondents who had already used healthcare facilities. The sampling technique was convenience sampling and collected data were analyzed using structural equation modeling. The study indicated that supply chain agility positively impacts customer value and customer trust, while there is no moderation role of price sensitivity in the healthcare industry. Previous scholars revealed that there is a strongly available association between supply chain agility and customer value. But no attempt was undertaken to investigate the impact of supply chain agility on customer trust while moderating the role of price sensitivity.

The research utilizes a comprehensive dataset from MENA-listed companies, capturing data from 2013 to 2022 to scrutinize the influence of capital structure (CapSt) level on corporate performance across 11 distinct countries. This study analyzed 6870 firm-year observations using a quantitative research method through static and dynamic panel data analysis. The primary analysis reveals a positive correlation between the CapSt ratio and company performance using fixed effects (FE) techniques. Hence, the preliminary results were re-examined and affirmed using a two-step system generalized method of moment (GMM) estimator to address potential endogeneity concerns. This finding aligns with most studies conducted in advanced countries, indicating a positive correlation between CapSt and corporate performance. Furthermore, it is also consistent with some research conducted in less-developed markets. This research argues that, in the MENA region, the advantages of debt, such as tax saving, may outweigh the potential financial distress cost. Furthermore, it offers insights into the monitoring role of CapSt in MENA-listed companies. We strengthen our research results by employing various methodologies and using alternative measures of accounting performance and controlling size, notably panel quantile regression analysis.