Explore the vast range of titles available.

Paracetamol (PCT) is an analgesic and antipyretic that is consumed on a large scale and frequently formulated in fixed-dose combinations to enhance therapeutic efficacy. In this study, an Eco-benign differential pulse voltammetric method using an unmodified glassy carbon electrode (GCE) was developed for the simultaneous micro-estimation of PCT in two binary mixtures: with Aceclofenac (ACL) and with Dicyclomine (DIC). In the Britton–Robinson buffer (BRB) at pH 2, PCT and ACL exhibited well-resolved anodic peaks at 0.62 and 0.81 V, respectively, while at pH 9, PCT and DIC demonstrated oxidation peaks at 0.41 and 0.58 V, respectively. The validation of the proposed method was conducted in accordance with ICH guidelines and they are applied to pharmaceutical tablet formulations successfully. Linearity was achieved over concentration ranges of 0.2–25 µg·mL⁻¹ for PCT and ACL, and 1–25 µg·mL⁻¹ for PCT and DIC, with coefficients of correlation that exceed 0.9995. The method adheres to Green and White Analytical Chemistry principles by minimizing reagent consumption, analysis time and environmental impact. A multihued sustainability assessment was conducted using several greenness and sustainability metrics and compared with reported techniques. In addition, alignment with the United Nations Sustainable Development Goals was evaluated using the innovative Need, Quality and Sustainability (NQS) index. The results demonstrate that the proposed voltammetric approach is simple, rapid, cost-effective and suitable for routine quality control analysis of paracetamol-based binary mixtures.

The disposal of sugarcane vinasse, a highly acidic distillery effluent, presents a serious environmental management challenge. In this study, a novel composite adsorbent was developed by integrating green-synthesized nano-calcium oxide (nCaO) with humic acid (HA) via an aqueous co-precipitation method and ultrasonic-assisted stabilization. Characterization (XRD, FTIR, SEM, BET) confirmed the formation of a mesoporous hybrid with a surface area of 112.6 m² g⁻¹, average pore size of 6.3 nm, and enhanced surface basicity due to HA functionalization. Batch adsorption experiments demonstrated that an optimal dosage of 5 g L⁻¹ achieved 82.4% COD removal, 76.1% TOC reduction, and 89.5% color removal within 90 min, surpassing conventional treatments such as lime neutralization, Fenton oxidation, anaerobic digestion, and biochar systems under comparable conditions. The acidic vinasse (pH < 4) was neutralized to 7.6 ± 0.2 without the addition of external alkali. The incorporation of a chalcogel stage further promoted precipitation of suspended solids and volatile fatty acids, reducing residual organic load. Kinetic modeling indicated a pseudo-second-order fit (R² = 0.991), suggesting a chemisorption-dominated mechanism coupled with acid–base neutralization and partial precipitation. Reusability testing confirmed ≥ 68% efficiency retention after four cycles. Sustainability evaluation using the Need Quality Sustainability (NQS) index and Koel’s Pyramid metrics indicated favorable environmental and operational performance, aligning with UN SDG 6 (Clean Water and Sanitation) and SDG 12 (Responsible Consumption and Production).

Industry 4.0 implementations integrate people, machines, data, technology, and processes and allow organizations to connect through digitization and cloud-based systems. The purpose of the present research is to realize the need and sustainability of digitization and connectivity within the quality management domain in developing countries, which is now called Quality 4.0. In previous research, several Quality 4.0 frameworks have been proposed. However, most of the frameworks are based on philosophy or require vast resources to implement. Hence, this research work proposes a framework for the implementation of Quality 4.0 in different industries. This framework is based on eleven dimensions that are the core requirements of the Quality 4.0; key variables are evaluated to gauge the maturity of the implementation of the framework. A research instrument is developed based on the variables to acquire the industry data, which are statistically analyzed to determine the maturity of implementation. It was found that scalability, culture, and app development require the most immense attention from industry to completely implement the requirements of Quality 4.0. Finally, recommendations are suggested that address the strengths, weaknesses, opportunities, and threats in transforming traditional quality management systems to the Quality 4.0 framework.

PurposeThis study explores the quality of sustainability reporting (QSR) and the impact of regulatory guidelines, social performance and a standardised reporting framework (using the Global Reporting Initiative [GRI] guidelines) on QSR in the context of banks in Bangladesh.Design/methodology/approachUsing a sample of 315 banking firm-year observations over 13 years (2002–2014), a content analysis technique is used to develop the 11-item QSR index. Regression analysis is used to test the research hypotheses.FindingsInitially, QSR evolved symbolically in Bangladesh's banks but, over our investigation period, with QSR indicators gradually improving, the trends became substantive. The influences on QSR were sustainable banking practice regulatory guidelines, social performance and use of the GRI guidelines. However, until banks improve reporting information, such as external verification and trends over time, QSR cannot be regarded as fully substantive.Research limitations/implicationsThis study advances QSR research and debate among academic researchers. With regulatory agencies and stakeholders increasingly using sustainability reporting information for decision making, the information's quality is vital.Originality/valueThis study is the first on QSR in the banking industry context, with previous research mostly investigating the quantity of sustainability reporting. The current study also synthesises QSR with sustainability regulation and social performance factors which have rarely been used in the sustainability literature. To gain a holistic understanding of QSR, existing QSR measures are advanced by combining external reporting efforts with banks' internalisation initiatives.

The impact of green technology innovation and the digital economy on the sustainability of the green economy is increasing. To delve deeper into this subject, this paper utilizes fixed- effect models and threshold effect models. It examines data from 34 provincial administrative regions of China. The aim is to uncover the patterns of influence the green technology innovation and the digital economy have on the sustainability of the green economy. The research findings are as follows: (1) The green technology innovation, digital economy, and their interaction contribute to promoting the high-quality sustainability of the green economy. The sustainability of the green economy relies on the support of green technology innovation and the digital economy. By optimizing the capabilities of green technology innovation and the level of digital economy, managers could enhance the high-quality sustainability of the green economy. (2) The digital economy exhibits a dual threshold effect in driving the sustainability of the green economy through green technology innovation. When the digital economy surpasses the first threshold, the influence of green technology innovation on the green economy experiences a notable increase. However, once the digital economy surpasses the second threshold, the impact of green technology innovation on the green economy begins to diminish significantly. (3) There are notable regional variations in the impact of green technology innovation and digital economy on the sustainability of the green economy across different regions of China. Considering these findings, it is vital for stakeholders in China to implement customized measures. These measures should aim to actively promote the sustainability of China’s green economy. The relevant stakeholders include businesses and the government.

In the last years, software engineering researchers have defined sustainability as a quality requirement of software, but not enough effort has been devoted to develop new methods/techniques to support the analysis and assessment of software sustainability. In this study, we present the Sustainability Assessment Framework (SAF) that consists of two instruments: the software sustainability–quality model, and the architectural decision map. Then, we use participatory and technical action research in close collaboration with the software industry to validate the SAF regarding its applicability in specific cases. The unit of analysis of our study is a family of software products (Geographic Information System- and Mobile-based Workforce Management Systems) that aim to address sustainability goals (e.g., efficient collection of dead animals to mitigate social and environmental sustainability risks). The results show that the sustainability–quality model integrated with the architectural decision maps can be used to identify sustainability–quality requirements as design concerns because most of its quality attributes (QAs) have been either addressed in the software project or acknowledged as relevant (i.e., creating awareness on the relevance of the multidimensional sustainability nature of certain QAs). Moreover, the action–research method has been helpful to enrich the sustainability–quality model, by identifying missing QAs (e.g., regulation compliance, data privacy). Finally, the architectural decision maps have been found as useful to guide software architects/designers in their decision-making process.

Global University Rankings (GURs) intend to measure the performance of universities worldwide. Other rankings have recently appeared that evaluate the creation of environmental policies in universities, e.g., the Universitas Indonesia (UI) GreenMetric. This work aims to analyze the interaction between the Top 500 of such rankings by considering the geographical location of universities and their typologies. A descriptive analysis and a statistical logistical regression analysis were carried out. The former demonstrated that European and North American universities predominated the Top 500 of GURs, while Asian universities did so in the Top 500 of the UI GreenMetric ranking, followed by European universities. Older universities predominated the Top 500 of GURs, while younger ones did so in the Top 500 of the UI GreenMetric ranking. The second analysis demonstrated that although Latin American universities were barely present in the Top 500 of GURs, the probability of them appearing in the Top 500 of the UI GreenMetric ranking was 5-fold. We conclude that a low association exists between universities’ academic performance and their commitment to the natural environment in the heart of their institutions. It would be advisable for GURs to include environmental indicators to promote sustainability at universities and to contribute to climate change.

Inbound digital marketing strategies play a vital role in the tourism industry, significantly influencing visitors' decision-making processes, enhancing tourist experiences, and ensuring post-consumption satisfaction. This study explores the effectiveness of digital marketing strategies in shaping tourists' perceptions of service quality and sustainability and their subsequent impact on overall satisfaction and behavioural intentions. This paper developed a conceptual framework and hypotheses through a comprehensive literature review to assess the causal relationships between digital marketing effectiveness, perceived destination service quality, perceived destination sustainability quality, tourist satisfaction, and behavioural intention. The empirical analysis was conducted using Partial Least Squares Structural Equation Modelling (PLS-SEM) on data collected from 195 international tourists in Thailand's coastal regions. The results reveal that while digital marketing effectiveness directly influences tourists' perceptions of service and sustainability quality, it indirectly influences tourist satisfaction and behavioural intentions through these perceptions. The findings highlight the critical role of aligning digital marketing strategies with service quality and sustainability initiatives. Moreover, the developed construct serves as a valuable tool for assessing and maintaining the destination image, helping tourism providers to improve their offerings and continuously foster long-term customer relationships.

Purpose This study aims to examine the association between corporate governance and sustainability reporting quality of listed firms in Nigeria. Design/methodology/approach The authors measure corporate governance using board governance variables (board size, board independence, board gender diversity and board expertise) and audit committee attributes (audit committee size, audit expertise and audit meeting). The authors measured sustainability reporting quality using a scoring system, which ranges between 0 and 4. The highest score is achieved when sustainability reporting is independently assured by an audit firm. The lowest score refers to the absence of sustainability reporting. The study emphasizes 120 listed firms on Nigeria Stock Exchange using the ordered logistic regression technique. Findings The results indicate that board governance variables (board size, board gender diversity and board expertise) and audit committee attributes (audit committee size, audit expertise and audit meeting) are significantly associated with sustainability reporting quality. Additional analysis reveals that external assurance contributes to the quality of sustainability reporting through corporate governance characteristics. Research limitations/implications This study is restricted to a single country. Future studies should consider a cross-country study, which may help to establish a comparative analysis. Likewise, the future study could consider other regression techniques using a continuous measurement of the global reporting initiative in measuring sustainability reporting quality. Practical implications This study’s findings have important implications for policymakers and practitioners, especially the corporate executives and top management. Companies are encouraged to restructure their board to enhance better monitoring and support towards better sustainability reporting. Social implications Disclosure on sustainability reporting helps corporate organizations advance the issues of sustainability both nationally and globally. Originality/value This current study adds to accounting literature by examining how corporate governance contributes to sustainability reporting practices within the Nigerian context. Drawing from the result, the study provides strong interconnectivity between the corporate board and audit committee in driving sustainability reporting quality within an organizational context.

Framework of education in Thailand 4.0 on policies as six qualities of teachers and ten focus points of the spatial support performance and management that leads to concrete action. Administration of education relates to the development of educational quality. This study aimed to analyzed the factors of educational management of “ S IAOE model ” for sustainability the quality improving Thai’s basic education and to confirmatory factor analysis associated with factors of educational management of “ SIAOE model ”. The collection, first to involved synthesizing documentary and interview questionnaire with 30 directors and 50 teachers to study for the factors of educational management of “ SIAOE model ”, second to survey by questionnaire with 1,200 sampling were the directors and teachers to study the levels of the factors of educational management of “ SIAOE model ”, third to confirmatory factor analysis (CFA) of educational management of “ SIAOE model ” in the data. The study revealed that the factors of educational management of “ SIAOE model ” in 5th factors including sufficiency economy, involvement, achievement organization, effectiveness, and the CFA showed that 5th factors the composition of all the variables are statistically significant at a level of .01