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Being an efficient mechanism for the value of money, public–private partnership (PPP) is one of the most prominent approaches for infrastructure construction. Hence, many controversies about the performance effectiveness of these delivery systems have been debated. This research aims to develop a novel performance management perspective by revealing the causal effect of key performance indicators (KPIs) on PPP infrastructures.

The literature review was used in this study to extract the PPPs KPIs. Experts’ judgment and interviews, as well as questionnaires, were designed to obtain data. Copula Bayesian network (CBN) has been selected to achieve the research purpose. CBN is one of the most potent tools in statistics for analyzing the causal relationship of different elements and considering their quantitive impact on each other. By utilizing this technique and using Python as one of the best programming languages, this research used machine learning methods, SHAP and XGBoost, to optimize the network.

The sensitivity analysis of the KPIs verified the causation importance in PPPs performance management. This study determined the causal structure of KPIs in PPP projects, assessed each indicator’s priority to performance, and found 7 of them as a critical cluster to optimize the network. These KPIs include innovation for financing, feasibility study, macro-environment impact, appropriate financing option, risk identification, allocation, sharing, and transfer, finance infrastructure, and compliance with the legal and regulatory framework.

Identifying the most scenic indicators helps the private sector to allocate the limited resources more rationally and concentrate on the most influential parts of the project. It also provides the KPIs’ critical cluster that should be controlled and monitored closely by PPP project managers. Additionally, the public sector can evaluate the performance of the private sector more accurately. Finally, this research provides a comprehensive causal insight into the PPPs’ performance management that can be used to develop management systems in future research.

For the first time, this research proposes a model to determine the causal structure of KPIs in PPPs and indicate the importance of this insight. The developed innovative model identifies the KPIs’ behavior and takes a non-linear approach based on CBN and machine learning methods while providing valuable information for construction and performance managers to allocate resources more efficiently.

The textile sector is moving towards new technologies, where the application of nanotechnology is offering fabrics with multifunctional properties making fabric odourless, hydrophobic, durable and self-cleaning. This aim of this research is to investigate self-cleaning ability of denim fabric with the application of zinc oxide nanoparticles (ZnO NPs) synthesized naturally. The primary focus of this investigation is achieving sustainability mark through green synthesis of ZnO NPs.

In this analysis, ZnO NPs being one of the metal oxides exhibiting self-cleaning, UV-protective and anti-microbial properties were synthesized naturally using Azadirachta Indica leaves. The prepared NPs were characterized by using X-ray diffraction and scanning electron microscopy analyses confirming their size and crystalline structure. Different formulations were investigated with varying concentration of zinc oxide and auxiliaries onto the denim fabric using pad-dry-cure application technique.

XRD analysis confirmed the successful green synthesis of ZnO NPs. SEM analysis revealed the homogeneous and hexagonal wurtzite NPs deposition on the denim fabric. It was ascertained that with 5% ZnO NPs and 7% Binder concentrations, the formulation resulted in a smooth and even layer on the denim fabric maintaining the appearance and feel at the same time offers appreciable grading (Grade 4) against the stringent stains of Ketchup, Coffee, Grape and Orange Juice with insignificant change in tensile strength.

In this study, self-cleaning attributes of denim fabric with zinc oxide nano formulations of different composition was studied to achieve promising functional properties in a single step not studied earlier.

The purpose of this study is to propose a new consumer value segmentation method for low-dimensional dense market datasets to quickly detect and cluster the most profitable customers for the enterprises.

In this study, the comprehensive segmentation bases (CSB) with richer meanings were obtained by introducing the weighted recency-frequency-monetary (RFM) model into the common segmentation bases (SB). Further, a new market segmentation method, the CSB-MBK algorithm was proposed by integrating the CSB model and the mini-batch k-means (MBK) clustering algorithm.

The results show that our proposed CSB model can reflect consumers' contributions to a market, as well as improve the clustering performance. Moreover, the proposed CSB-MBK algorithm is demonstrably superior to the SB-MBK, CSB-KMA and CSB-Chameleon algorithms with respect to the Silhouette Coefficient (SC), the Calinski-Harabasz (CH) Index , the average running time and superior to the SB-MBK, RFM-MBK and WRFM-MBK algorithms in terms of the inter-market value and characteristic differentiation.

This paper provides a tool for decision-makers and marketers to segment a market quickly, which can help them grasp consumers' activity, loyalty, purchasing power and other characteristics in a target market timely and achieve the precision marketing.

This study is the first to introduce the CSB-MBK algorithm for identifying valuable customers through the comprehensive consideration of the clustering quality, consumer value and segmentation speed. Moreover, the CSB-MBK algorithm can be considered for applications in other markets.

This study examines whether country-level financial integration affects firms' accounting choices and the quality of financial information.

This study employs Propensity Score Matching (PSM), and panel regressions of a large sample of data from 20 emerging markets over the period 1987–2018.

This study finds evidence that increased level of financial integration is significantly positively associated with firms' accruals earnings management (AEM) and real earnings management (REM).

Findings in the study have implications for standard-setting bodies that aim to enhance the usefulness of financial reporting quality. The study also has implications for various initiatives by governments in emerging markets aimed at raising investor confidence and fostering stock market development through greater financial integration.

Findings in the study have implications for standard-setting bodies that aim to enhance the usefulness and quality of financial reporting. The findings can be of interest to analysts, auditors and other monitoring institutions who play a crucial role in detecting earnings management and reducing information asymmetry. Finally, the study has implications for various initiatives by governments in emerging markets aimed at raising investor confidence and fostering stock market development through greater financial integration.

Findings in the study reveal how country-level financial integration affects accruals and real earnings management in a sample of firms from 20 emerging markets. Further, the study adds to the growing body of literature on emerging markets where capital markets mechanisms, regulatory environment and firm's corporate governance are distinct to developed markets.

Reportedly, green roof (GR) makes a significant contribution towards a truly sustainable-built environment; however, its implementation is yet to hit a sufficient level in developing countries. Thus, this study assesses GR implementation strategies in developing countries by providing a comparative analysis through experts in Kazakhstan, Malaysia and Turkey.

The study adopts a four-step methodological approach to achieve the research aim: literature review, focus group discussion, fuzzy analytical hierarchy process (FAHP) analysis and correlation analyses. First, a literature review followed by a focus group discussion is used to determine 18 (out of 25 initially) strategies for the selected context and these are classified into three categories: governmental and institutional support, knowledge and information and policy and regulation. Afterward, the identified GR strategies are evaluated using the FAHP with the data gathered from the experts in the countries studied. Finally, correlation analyses were used to observe the strength of agreement between the assessments of experts from the included countries.

The findings indicate that financial incentives, low-cost government loans and subsidies and tax rebates are the essential strategies for the wider adoption of GR. Evaluating the policy and regulations strategies also showed that mandatory GR policies and regulations and better enforcement of the developed GR policies are ranked as the most prominent strategies. The findings show a low level of agreement among respondents from Kazakhstan, while there is a high level of agreement between the experts in Malaysia and Turkey.

The research contribution is twofold. First (research implication), the study identifies the strategies through a complete literature review. Second, the identified strategies are evaluated through the lenses of experts in three developing countries which are hoped to provide (practical contribution) a better understanding of the most effective strategies that require attention and enable the frontline stakeholders (particularly government authorities) to focus on them.

The study findings provide a good point of departure to explore the strategies for broader adoption of GRs in developing economic setting.

The topics of gender and sustainability are firmly anchored within a social discourse. Based on both factors, customers are placing demands on companies and have specific ideas on how they should be represented in advertising. The case study presented herein combines these two topics and examines the portrayal of gender in the external marketing communication of the fair fashion label ARMEDANGELS. By analysing individual Instagram publications, the case study identifies how the topic is generally portrayed on the company’s channel. Furthermore, the perspectives of customers are determined through conducted interviews. When comparing the two sides, it becomes apparent that customers mostly approve of the attempt to break with conservative gender roles as well as an equal representation of the male and female personas. In addition to expanding the theoretical considerations of the triple bottom line as well as the S-O-R model, we derive recommendations for ARMEDANGELS and for other companies in the fashion industry. For customer retention purposes, companies should therefore focus on aligning the sexes, breaking with the general gender binary and integrating LGBTQ+ communities in future marketing measures.

Based on Kansei Engineering, this study obtained consumers' emotional preferences aiming to enhance the emotional connection between consumers and clothing to extend the service life of clothing and realize sustainable clothing design.

Six Kansei word pairs that are the most important to consumers were identified through literature reviews, magazines, websites, card sorting of consumers and cluster analysis. Finally, the consumers scored the 32 product specimens through a 5-level rating semantic differential scale questionnaire of six Kansei word pairs. The researchers verified the consumers' emotional preferences through principal component analysis and established the relationship between Kansei words and design elements of color through partial least squares.

The study found consumers' emotional preferences: elegant, minimalist, formal, casual, mature, practical and distinctive style. Besides white, black, gray, blue, consumers will also like red and yellow-red in the future. The crucial findings of this study are to get recommended guidelines that consumers' emotional preferences match the corresponding design elements.

The study's findings can be used to style the design of men's plain-color shirts and guide online marketers and designers to design apparel that meets consumers' emotional needs to develop consumers' sustainability reliance on clothing. This study also explains the overall process and methodology for integrating consumer preferences and product design elements.

This study aims to investigate the perceptions of Iranian English teachers about their teaching efficiency through a specific practicum course, namely, language teaching methodology. Drawing on a marketing education perspective, the researchers sought to measure the service quality offered in universities by examining teachers’ satisfaction with the curriculum.

Using quantitative gap analysis, the study evaluated the knowledge and skills of teachers in their preservice education regarding the perceived importance of knowledge and skills required in practice. The study involved 120 English as a foreign language teachers holding a BA degree from two universities in Iran, each with two to four years of teaching experience in the private sector. Data were collected using a 40-item semantic differential Likert scale developed by the researchers. The scale incorporated two components that assessed teachers’ perceived importance of knowledge and skills and their preservice educational preparation.

The findings revealed that most participants were overprepared in various items. However, there were some gaps in content knowledge and skills. Reasons for these gaps mainly included having adequate experience of and/or familiarity with course content, having completed relevant courses beforehand and imitating role model teachers. Teachers’ underpreparation was attributed to their lack of preparation in some specific subjects due to limited skill, practice, motivation, experience and familiarity with that content area.

This study explores the perceived knowledge and skills of Iranian English teachers and provides empirical insights into higher education service quality and customer satisfaction.

This study analyzes the significance of various attributes of developmental psychology developed by male and female students within higher education institutions (HEIs) in Cambodia. It also focuses on the mismatch between planned enrollments and the final selection of a course, and the knowledge and skills accessed during the study.

A sample of 463 students (267 female) was selected for a survey from two private and two public universities, located in both Phnom Penh and other provincial locations.

It was found that (1) the Cambodian Sustainable Development Goal targets related to quality education are likely to be achieved by 2030, but this will require close monitoring of the targets. While it is likely that the male ratio will be accomplished by 2030, this is less certain for the female ratio. (2) There was a mismatch between the planned enrollment and actual course selection for just under half (49.2%) of students surveyed due to high tuition fees, a lack of scholarships, unavailability of preferred courses, failure to gain admission and parental influence. This mismatch was higher for female students for all of these factors except for parental influence. (3) Students indicated a high degree of access to knowledge and skills, except for technological literacy, economic aspects and interpersonal effectiveness. Overall, male students were found to access a higher degree of both knowledge and skills. (4) The developmental psychology of students was found to be significantly influenced by decision-making ability, empathy, people skills, community engagement and voluntary work.

There were a number of limitations in carrying out this research. For example, discussions were separately organized at each university; the authors did not organize a consultative meeting gathering all the students from the four universities to discuss and get consensus. Moreover, the study did not cover the interviews of parents to gain their views regarding support for their children at HEIs.

Improvement in key aspects of developmental psychology for male students was found to be more significant than for female students, except for intellectual capacity.

Still, improvement in the adopt of developmental psychology is required at HEIs in Cambodia and developing countries. Improved developmental psychology among students at universities has been shown to result in a significant enhancement in study performance and competencies. These competencies range from cognitive and intellectual capacity, associated with thinking and analysis; and emotional and social capacity, associated with the development of a societal vision. Students who develop cognitive and intellectual capacity tend to perform tasks more accurately and efficiently, make decisions more effectively and respond intelligently to new or complex circumstances. Students who develop emotional and social capacity are better guided toward focusing on caring for others in the community and establishing peaceful and safe environments. An important implication of the developmental psychology of students within HEIs in Cambodia is the holistic nature of education integrating knowledge, skills, competencies and social responsibility. HEIs should take on the role of equipping students with both cognitive and intellectual capacities for employment; as well as the emotional and social capacities required to build a society based on mutual trust and harmony. Improving the psychological development of students at HEIs in Cambodia may also be significant in achieving the CSDG targets. In terms of policy, HEIs should integrate opportunities for this to be included in the curriculum to increase the opportunities for students to engage in practice-based learning and community engagement activities. This will require providing sufficient learning materials and equipment to enable students to self-learn, think, analyze and innovate, using theories obtained in class, at home. This should be coupled with community engagement programs that provide students with the opportunity to work in the field. All knowledge and skills accessed by students should be integrated with the development of both cognitive and intellectual capacities. Further, social activities organized by HEIs are required to assist in developing the emotional and social capacity of students to interact with communities.

The paper is solely conducted and prepared by SOK Serey, CHEB Hoeurn, CHHINH Nyda, BO Chan Koulika and NGUONPHAN Pheakdey. The findings of the research produce both quantitative and qualitative information on the implementation of Sustainable Development Goals at higher education in Cambodia. In particular, this research is one of the most pioneer academic research studies conducted by a local scholar from Cambodia.

The purpose of this paper is to examine to which extent ownership and board structure improve financial institutions’ credit ratings.

Ordered Probit regression models were used to examine the association between corporate governance attributes and banks’ credit ratings. The sample consists of 97 publicly traded financial institutions on Gulf Cooperation Council (GCC) stock exchange markets and cover the period 2010–2019. All GCC countries were considered in this study which are United Arab Emirates, Saudi Arabia, Bahrain, Oman, Kuwait and Qatar.

The results show that banks’ credit ratings are positively associated with the size of the board of directors and with the number of female directors serving in the board of directors. And it is negatively associated with the frequency of board meetings. Furthermore, this study finds evidence that nonbank financial institutions’ credit ratings are positively associated with CEO duality and with frequency of board meetings. Also, this study shows that their credit ratings are negatively associated with the ownership percentage held by the major five shareholders and with the number of board members serving in the board of directors.

Unlike previous research, this study focuses on the effect of the role of two different corporate governance dimensions, namely, ownership and board structure on the rating of financial institutions. This paper contributes to the extant literature in various ways. It bridges the gap of this topic in the GCC region. And, unlike previous research, this study focused on the financial sector and divided the sample into banks and other financial institutions to examine both subsamples separately. Also, this study introduced new ownership and board structure variables for the purpose of investigating the impact of corporate governance on financial institutions’ credit ratings such as the presence of women in the board of directors.