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The sustainable development goal (SDG 17) is to strengthen the means of implementation and revitalise the global partnership for sustainable development. Partnership is a key strategy for acquiring skills, information and private finance for developing critical infrastructure projects. Existing studies have mostly concentrated on identifying critical success factors (CSFs) for successfully delivering public–private partnerships (PPPs) projects, but the interrelationships among CSFs expected from stakeholders have garnered less attention. The purpose of this study is to examine the interconnections among CSFs of PPP projects while keeping the public in mind, as well as the influencing routes that contribute to success in the PPP implementation process.

The study uses a mixed-method approach that involves both quantitative and qualitative methods of data collection. The data for the study were collected through a well-structured questionnaire from the respondents who are directly or indirectly associated with the PPP project implementation process. The CSF’s framework was built using a literature study and expert interviews; nine hypotheses were developed and evaluated using structural equation modelling. Random and purposive sampling techniques were used for the respondents who were directly or indirectly associated with the PPP project implementation process.

The findings of this study reveal that the relationship between public and private partners is more adherent than collaborative, with unequal responsibilities, powers and resources distributed among the parties involved. The relevance of state rules, the PPP directive and policies in PPP implementation is supported by the positive connection between favourable environments (Fav_Env) and government attributes (Gov_Atr; the path coefficient is 0.405). Moreover, government attributes have a favourable influence on private company attributes (Pvt_Atr; the path coefficient is 0.198), showing that the state plays a substantial role in the private sector’s decision-making process in PPP. The long-term sustainability and success of a PPP project are dependent on the established interrelationships between CSFs.

The established interrelationships between CSFs will contribute to the long-term viability and success of a PPP project. Since PPP is still in its infancy in India, the study of CSFs in PPPs and their interrelationships will help policymakers and other stakeholders better understand the major individual factors impacting the success or failure of PPP initiatives.

Because PPP is still in its infancy in India, the study of CSFs in PPPs and their interrelationships will help policymakers and other stakeholders to better understand the major individual factors impacting the success or failure of PPP initiatives. A key implication of the study borders on providing a better understanding of the relationships between CSFs and public engagement. This is also critical for the long-term viability of PPPs and the enhancement of public service quality.

The current study immerses itself in the realm of diversification prospects within a select group of preeminent global stock exchanges. Specifically, the study casts its discerning gaze upon the financial hubs of the United States, Hong Kong, Germany, France, Amsterdam and India. In this expansive vista of international financial markets, the present analytical study aims to unravel the multifaceted opportunities that lie therein for astute portfolio management and strategic investment decisions.

The study encompasses daily time series data spanning from 2019 to 2022. To assess the interconnectedness among these stock indices, advanced statistical techniques, including Johansen cointegration methods and vector autoregressive (VAR) models, have been applied.

The research outcomes reveal both unidirectional and bidirectional relationships between the Indian, Hong Kong and US stock exchanges, encompassing both short-term and long-term time frames. Interestingly, the empirical findings indicate the presence of diversification opportunities between the Indian stock exchange and the stock exchanges of Germany, France and Amsterdam.

These insights hold significant value for both Indian and international investors, including foreign institutional investors (FIIs), domestic institutional investors (DIIs) and retail investors, as they can utilize this knowledge to construct more effective and diversified investment portfolios by understanding the intricate interconnections between these prominent global stock exchanges.

This research undertaking aspires to bring coherence to a landscape rife with divergent interpretations and methodological divergences. We are poised to offer a comprehensive analysis, a beacon of clarity amidst the murkiness, to shed light on the intricate web of interconnections that underpin the world's stock exchanges. In so doing, we seek to contribute a seminal piece of scholarship that transcends the existing ambiguities and thus empowers the field with a deeper understanding of the multifaceted dynamics governing international stock markets.

Migrants have been posed with less familiarity in their new environment during COVID times, faced with various social, psychological and emotional traumas. Research indicates that they may have been originating from apprehension of being abandoned by their neighbours. Most of them were precarious with little wages, competing for their basic need fulfilment, putting them under more mental stress. Looking forward to the ancient principle, ‘Athithi Devo Bhavah’ (Visitors are Gods), and immediate response, measures were taken to promote community shelters and kitchens, maintaining social distancing and ensuring physical safety. The governments of different countries took proactive initiatives to study and assess their needs. The study here includes the cases being evaluated regarding migrants' need for surveillance and psycho-social support given by the government and non-profit associations during the pandemic at the global level. Remarkably, certain countries proved the working of their sustainable poverty reduction model by evaluating various factors. The study started by introducing who migrants were, diagnosing their problems faced during the pandemic, how Sustainable Development Goals can be implemented and various measures taken at government and institutional levels to protect the migrant workforce.

Finland’s globally accepted teaching practices are purely based on common sense, and holistically promote equity over excellence. “New Wine in a new bottle” literally means unlearning old thoughts and relearning new skills updated to changes in the world recouping to new trends and establishing ourselves full-fledged meeting the demand of the hour. The question of why India still doesn’t get enough Noble Prizes in required disciplines is still unanswerable. Still in India, there exist the archaic forms of the classroom setting with little room for flexibility and no educational freedom; moreover, with a highly pressurised testing environment. With the increasing population of Indian set-up, most of the teachers are underpaid and are less satisfied with the amount of effort they put in and their pay scale. A paradigm shift could be expected in India’s educational landscape post the introduction of the National Education Policy 2020; by reducing the academic workload for students and improving their holistic intelligence thereby. The NEP framework has been structured based on certain practical pedagogies from the Finnish context. The 5+3+3+4 model would encourage students to make their communication more effective, prioritising creativity, critical thinking, and personality development; say, various experts. There is a direct connection between education and poverty level in an economy. If the system lacks quality, then it would adversely affect the economic functioning of a nation. This study highlights the cases from both the Indian and Finnish contexts, clarifying the loopholes in our education system and what lessons could be incorporated from the Finnish model; so as to devise a policy at the national level for re-engineering the impoverished situations, keeping in mind sustainable architecture. This chapter is the first of its kind not ever published elsewhere and is original in nature.

This paper aims to develop efficient decision support tools for a firm’s environment protection by using greening effort while yet improving profitability by utilizing pricing and inventory decisions with discount consideration.

This study proposed a mathematical model for price- and greening effort-dependent demand rate with discount considerations. Later, the mathematical model is extended to the situation in which the demand rate is also dependent on the stock level, in addition to the price and greening effort. Efficient solution methodologies are developed for finding the optimal solution to the proposed models.

Simple yet elegant models are proposed to mimic real-life applications. Structural properties of the models are explored to outline efficient algorithms with quantity discounts.

The paper considers monopoly and assumes deterministic demand. Only a more commonly observed all-units discount scheme is studied.

The models provide decision support tools for firms in pursuit of joint profit maximization and environment consciousness goals.

The study develops environment-friendly approaches for inventory management and improving the profitability alike.

This study is among the first to consider environmental protection with an investment in greening effort along with inventory management and pricing decision. The study also explored the effect of all-unit quantity discounts.

This study aims to examine Islamic banks’ (IBs’) obligations to uphold society’s moral and ethical dimensions. Furthermore, it explores the perspectives of practitioners and Shariah scholars on the role of IBs as agents to advance social and ethical well-being.

Qualitative methodology, with constructivist philosophy, was used. Semi-structured interviews were conducted with Shariah scholars and Islamic banking officials in Pakistan. The thematic analysis uncovered diverse dimensions catering to fulfill the requirements of social and ethical upliftment of society.

The study reveals discrepancies in the perception of IBs’ advisory board members and managers regarding the social responsibilities of IBs. Results show that practitioners of IBs disregard the overall societal welfare upliftment and faith and spiritual upliftment as a responsibility of IBs. However, they consider the inclusiveness, transparency and assurance of Hifz-e-Maal (safeguarding the wealth) among the prime duties of IBs.

This study serves as a call for policymakers, emphasizing that, to achieve the desired social outcomes, it is imperative to address the perceptual inconsistencies among stakeholders of the Islamic financial system.

This study compels policymakers to confront perceptual inconsistencies in Islamic banking, advocating for regulations that guarantee wider societal welfare and spiritual advancement in addition to financial objectives.

This study could help broaden the understanding of the Islamic financial system, particularly the aspects that may hamper getting the desired results of this system.

The purpose of this paper is to explore the peer-reviewed literature, as well as literature written by practitioners having authority on green supply chains and allied areas with a view to identify future research directions with the help of an extensive literature review.

In line with this objective, the constructs “Green Supply Chain Practices” and “Green Supply Chain Performance” were the two terms that were identified for a co-relational study.

As indicated by the literature review, there is a need to do a more detailed study that can pinpoint particular components of green supply chain practices that have a strong association with particular components of green supply chain performance. This paper attempts to achieve the aim by using a different connotation of these two constructs.

Such a study with the connotation and components of green supply chain (GSC) practices and GSC performance as identified and used in this paper might not have been conducted before in the way it is proposed to be used in this paper, thus making this an appropriate contribution. Accordingly, a framework for the research has been depicted, and research questions have been framed.

Many studies have examined pre-diploma students' backgrounds and academic performance with results showing that some did not achieve the expected level of competence. This study aims to examine the relationship between students’ demographic characteristics and their academic achievement at the pre-diploma level using machine learning.

Secondary data analysis was used in this study, which involved collecting information about 1,052 pre-diploma students enrolled at Universiti Teknologi MARA (UiTM) Pahang Branch between 2017 and 2021. The research procedure was divided into two parts: data collecting and pre-processing, and building the machine learning algorithm, pre-training and testing.

Gender, family income, region and achievement in the national secondary school examination (Sijil Pelajaran Malaysia [SPM]) predict academic performance. Female students were 1.2 times more likely to succeed academically. Central region students performed better with a value of 1.26. M40-income students were more likely to excel with an odds ratio of 2.809. Students who excelled in SPM English and Mathematics had a better likelihood of succeeding in higher education.

This research was limited to pre-diploma students from UiTM Pahang Branch. For better generalizability of the results, future research should include pre-diploma students from other UiTM branches that offer this programme.

This study is expected to offer insights for policymakers, particularly, the Ministry of Higher Education, in developing a comprehensive policy to improve the tertiary education system by focusing on the fourth Sustainable Development Goal.

These pre-diploma students were found to originate mainly from low- or middle-income families; hence, the programme may help them acquire better jobs and improve their standard of living. Most students enrolling on the pre-diploma performed below excellent at the secondary school level and were therefore given the opportunity to continue studying at a higher level.

This predictive model contributes to guidelines on the minimum requirements for pre-diploma students to gain admission into higher education institutions by ensuring the efficient distribution of resources and equal access to higher education among all communities.