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The financial sector has recently undergone alterations and moved towards sustainability and social justice at the instigation of technological innovations and increased consideration of environmental and societal matters. This piece investigates how significant FinTech changes have been in relation to social impact investment and sustainable finance. Using technologies like blockchain, artificial intelligence (AI) or mobile payment systems, amongst others, FinTech has made it possible for more people to access financial services than ever before, leading to greater inclusion of marginalised populations into small-scale enterprises, rendering financial services available to even the lowliest citizens. The focus on fostering such inclusion mirrors social finance principles that promote economic self-reliance and decrease disparities among the populace. Additionally, through real-time data provision and analytics tools available for FinTech, informed decisions when investing become feasible, thereby ensuring that efficient capital allocation considers measurable social and environmental costs. However, even with such advances, challenges still inhibit FinTech from realising its full potential in terms of social impact investing, such as digital divide regulatory variations and data protection concerns. This paper examines how FinTech affects social impact investment using case studies, market trends and policy frameworks to further sustainable development and social equity.

This study aims to describe the m-learning experience of school students and teachers during the COVID-19 pandemic and explores the factors influencing the continuance intention of m-learning.

Semistructured interviews of 24 students and 09 teachers of schools in national capital territory (NCT) Delhi, India were conducted over 03 months and transcribed verbatim. A hermeneutic phenomenological design was used to interpret the text and bring out the “lived experiences” of m-learning.

The following 15 themes or factors influencing continuance intention emerged through the hermeneutic circle: (1) actual usage, (2) attitude, (3) context, (4) extrinsic motivation, (5) facilitating conditions, (6) intrinsic motivation, (7) perceived compatibility, (8) perceived content quality, (9) perceived mobile app quality, (10) perceived teaching quality, (11) perceived usefulness, (12) satisfaction, (13) self-efficacy, (14) self-management of learning and (15) social influence.

The study offers insightful recommendations for school administrators, mobile device developers and app designers. In addition, suggestions for effectively using m-learning during disasters such as COVID-19 have been provided. Several future research directions, including a nuanced understanding of m-assessment and online discussions, are suggested to enhance the literature on m-learning continuance.

The study enriches the literature on m-learning continuance. A qualitative approach has been used to identify relevant factors influencing m-learning continuance intention among secondary and higher secondary level (Grades 9 to 12) school students and teachers in India. In addition, a conceptual framework of the relationships among the factors has been proposed. Further, an analysis of the lived experiences of m-learning during the COVID-19 pandemic indicated several issues and challenges in using m-learning during disasters.

The circular economy (CE) has become increasingly popular in recent years due to its potential in combining the economic growth positively with businesses, society and the environment simultaneously. The purpose of this review is to provide a concise summary of the existing literature regarding how CE strategies can help mitigate climate change.

A comprehensive review of extant literature is undertaken on the topic of CE and climate change. Six sectors are explored in this chapter; although these sectors are different, but still, they are interdependent and are not completely separate.

Thorough study of literature reveals that the energy, transport and manufacturing sectors have the greatest potential for reducing greenhouse gas emissions, while the waste and building sector have a moderate potential for savings. The agriculture sector, on the other hand, is predicted to have the lowest potential for savings.

This chapter provides implications for achieving a sustainable future in terms of economic growth, social harmony and environment conditions by developing efficient and affordable methods to achieve the goal of CE.

This chapter is a unique endeavour to explore the intricate relationship between CE and climate change. Although both concepts have been explored individually by various studies, but our study is one of the few attempts made to emphasise the crucial role of CE to mitigate the climate change.

The main purpose of this chapter is dual fold: first, to offer an exhaustive examination of migration trends and factors influencing migrants' decisions to relocate. Second, to propose actionable suggestions aimed at minimising the harmful impacts of climate-induced migration originating from the Indian subcontinent.

This chapter adopts an intensive literature review and integrated approach emphasising safety and partaking rights to examine climate prejudices across various dimensions including age, vulnerability, background, gender, geographical location, pay levels, migrant/refugee/internally displaced status and their connections.

An in-depth assessment of evidence surfaced on environmental migrants reveal a complex interplay of social, environmental and personal dynamics collectively shaping migration patterns beyond purely economic considerations. Natural disasters and associated mental shocks, social tensions and safety concerns, livelihood diversification, educational and development opportunities in host region, family pressures, extent of possession of assets and potential health and well-being all pose as vital drivers in environmental migration.

A novel attempt is made to address the interconnected nature of climate change with other crises, exacerbating existing inequalities whilst emphasising the importance of incorporating diverse interdisciplinary and international perspectives, prioritising the voices of the victimised to effectively address the climate emergency.

Policy recommendations encompass enhancing central and local government support by establishing migrant supportive legal frameworks, expanding livelihood diversification programs and factoring in migrant returnee programmes.

The purpose of this study is to provide details of the robots used in construction and an insight into how the technology can contribute to addressing the challenges facing the industry.

Following an introduction which identifies key challenges facing the construction industry, this study discusses robotic 3D structural printing, the role of drones, ground vehicles, bricklaying, welding and other robotic application. Finally, brief conclusions are drawn.

The construction industry faces significant challenges: labour shortages, a poor safety record, near static productivity, slow adoption of new technology and an adverse environmental impact. A diverse range of robots are finding uses in this industry and can automate or enhance many traditional practices. These yield benefits which include reduced manpower requirements, improved safety, better productivity, lower environmental impact and increased overall efficiency, thereby addressing many of the challenges facing the industry.

This study provides details of robots used in construction industry and how they can address the challenges confronting the industry.

This study aims to develop an improved understanding of the formation of citizens' purchase intention to increase the adoption of prefabricated housing (PH).

An integrative model of the theory of planned behavior (TPB) and norm activation model (NAM) was proposed based on previous studies. To verify the conceptual model, an analysis was conducted after data collection from a questionnaire survey. Lastly, findings were presented by explaining the formation of purchase intention in the egoistic and altruistic contexts. Practical implications were likewise discussed.

Findings manifest that citizens' purchase intention is influenced by egoistic and altruistic cognitions. An effective strategy is to show citizens the pro-environmental features of PH to promote its adoption because they value the environmental performance of housing. Meanwhile, consumers' social fitness also plays an essential role in decision-making, and the dual contradiction in the PH market is revealed.

This study extends the knowledge of psychological decision-making theories in the field of purchase intention toward PH by proposing an integrative framework of TPB and NAM. Results indicate a systematic and comprehensive understanding of consumers' decision-making in the PH domain. Moreover, results of this research contribute to specifying and refining the applicable contexts of TPB and NAM by adding two antecedents: subjective knowledge and environmental concern. This research contributes to the literature by being one of the first to investigate purchase intention toward a high-cost product with invisible technological innovation.

This study examines the policy-driving forces (PDFs) influencing the adoption of modular integrated construction (MiC) in Hong Kong (HK). It focuses on understanding how these forces impact MiC implementation across different construction phases, providing insights for policymakers to enhance sector productivity, efficiency and sustainability.

Utilising system dynamics (SD) modelling, this research simulates the dynamic influence of PDFs on MiC adoption throughout various construction stages. Data collection involved questionnaires, surveys and case studies, which established the basis for detailed simulation scenarios to understand the timing and impact of PDFs.

The results indicate that PDFs exert the most significant influence during the initiation phase of MiC adoption, followed by the construction and planning and/or design phases. Regulative PDFs emerged as the most potent drivers in enhancing MiC uptake at each phase. Based on these insights, the study proposes six strategic recommendations to promote MiC adoption, emphasising the utility of MiC in emergency infrastructures.

This research introduces a novel application of SD modelling to quantitatively assess the impact of PDFs on MiC adoption in Hong Kong’s construction industry. It provides a dynamic, systematic perspective on policy impacts, offering actionable insights for effective policymaking. Through scenario simulations, this study equips policymakers with the tools to foresee outcomes of policy adjustments, thus enabling informed decisions to foster widespread MiC adoption for sustainable development.

To adapt to China's evolving market, McDonald's, an established giant in the Western fast-food industry, has advanced its digital transformation since 2016. McDonald's China collaborated with the company Target Social to develop algorithms that extract key information from big data, assisting marketers with social media insights, content creation, and influencer selection, achieving “circle-breaking” success in social media marketing. In today's rapidly developing technological landscape, digital marketing methods have become diverse and abundant. Why does McDonald's focus its social media marketing strategy on content “circle-breaking”? Can this strategy balance the goals of short-term sales and long-term brand mind-set?

This study aims to investigate the connection between the circular economy and sustainable operations management to identify the challenges and opportunities in platform organizations. The study looks at how the stated circular economy strategies (Reduce, Reuse, Repair, Refurbish, Repurpose and Recycle) are integrated across different industries, emphasizing how they align with the e-business model. The research evaluates their contribution to achieving Sustainable Development Goal 12, which focuses on responsible consumption and production.

A literature review has analyzed CE frameworks, business models and the role of sustainable operations management practices. This study utilized secondary data analysis of platform organizations and insights from case studies to identify patterns, strategies and outcomes. The study also involved practical examinations within organizations, specifically focusing on innovative start-ups.

The analysis uses the 6R framework (Reduce, Reuse, Repair, Refurbish, Repurpose and Recycle) to uncover valuable insights into organizational practices and highlight the role of platform organizations in promoting and achieving circular economy objectives. The research findings focus on the central importance of data regulation and governance while showcasing sustainable business practices through platform organizations.

This research is significant as it connects circular economy with platform organizations’ business models, emphasizing data regulation, resource efficiency, waste reduction and aligning business practices with Sustainable Development Goal 12.

The purpose of this study is to examine Construction 4.0 trends, identify potential areas of growth, and explore the use of Industry 4.0 enabling technologies in the construction sector.

Research papers from referred international journals are reviewed to identify the use of Industry 4.0 enabling technologies in the construction sector. Then, Visualization of Similarities viewer software is used to analyze the keyword co-occurrence network, overlay and density visualization. Finally, the roadmap for the adoption of the Industry 4.0 concept in the construction sector is proposed.

Thirteen technologies of the Industry 4.0 concept have an impact on the construction sector. However, Digital Twins, the internet of things, Smart Sensors and 3D printing have the potential to support the Construction 4.0 concept, whereas applications of machine learning, autonomous robotics and augmented/virtual reality still offer plenty of opportunities for future applied research.

This research paper will help decision-makers in the construction sector to adopt the Industry 4.0 enabling technologies. Also, it will serve as a road map for future research in Construction 4.0.

The literature studied for the content analysis includes the years 2013 through 2023, which aids in the development of plans by policymakers for the adoption of the digital construction sector.