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GreenTech Revolution: Navigating Challenges and Seizing Opportunities
Abstract
The GreenTech revolution is reshaping the global landscape, offering innovative solutions to the pressing environmental challenges of our time. This chapter explores the concept of Green Technology (GreenTech), tracing its historical evolution and highlighting its key sectors and applications. GreenTech encompasses a wide array of technologies and practices aimed at reducing environmental impact, conserving natural resources, and promoting sustainability across various industries, including energy, transportation, agriculture, and waste management. Despite its transformative potential, the widespread adoption of GreenTech faces significant challenges, including technological barriers, financial constraints, regulatory complexities, and societal resistance. These obstacles, however, also present opportunities for innovation, market growth, and collaboration. The chapter examines these challenges and opportunities, emphasizing the role of technological advancements, emerging markets, and strategic partnerships in driving the GreenTech revolution forward.
... Technology, however, has been increasingly recognized as a critical enabler for scaling SE. Digital platforms, for example, facilitate market access, resource mobilization, and operational efficiency for social enterprises (Emon et al., 2025). Moreover, technological innovations such as blockchain and AI have been leveraged to enhance transparency, improve impact measurement, and foster trust among stakeholders (Herbst and Hausberg, 2024). ...
Purpose
The purpose of this study is to explore how government initiatives can enhance social entrepreneurship (SE) and identify the key factors that contribute to their success, particularly in the context of emerging economies.
Design/methodology/approach
This study focuses on Tunisia, a North African emerging economy, providing a clear geographical setting for the research. A quantitative approach was employed, utilizing a survey method distributed via Qualtrics. The survey targeted 202 Tunisian social entrepreneurs, and Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to analyze the relationships between government initiatives and SE development.
Findings
The results reveal that government initiatives, including the creation of supportive ecosystems, training and skills development programs, tax incentives, public-private partnerships, and support for community-driven initiatives, significantly enhance SE.
Research limitations/implications
The study focuses on Tunisia, which may limit the generalizability of the findings to other contexts. Future research should expand geographically and consider longitudinal studies to assess the long-term effects of government initiatives on SE.
Practical implications
The findings provide actionable recommendations for policymakers to design effective strategies that support SE, such as developing ecosystems, offering financial incentives, and fostering public-private partnerships.
Social implications
By promoting SE, government initiatives can contribute to sustainable development, reduce social disparities, and address pressing socio-economic challenges.
Originality/value
This study contributes to the open innovation paradigm by applying it to the social entrepreneurship context, highlighting how government interventions act as external enablers for SE. It offers new insights into the role of government in fostering social innovation in emerging economies, an area that has been underexplored in existing literature.
... While facing challenges like technological barriers and financial constraints, GreenTech offers significant opportunities for innovation and market growth. Technological advancements, emerging markets, and strategic partnerships are key drivers of this revolution (Emon et al., 2025). The intersection of AI, blockchain, biotechnology, and adaptive legal frameworks. ...
The imperative to ensure global food security in the face of a growing population, climate change, and resource scarcity demands innovative and sustainable solutions. This review explores the synergistic potential of biotechnology and precision agriculture in revolutionizing food production. Precision agriculture, driven by machine learning, IoT, and data analytics, optimizes resource utilization, enhances productivity, and minimizes environmental impact through targeted interventions. Simultaneously, biotechnology, encompassing genetic engineering and related techniques, offers tools to develop crops with enhanced traits like climate resilience, pest resistance, and improved nutritional content. Climate change impacts on agriculture, including extreme weather events and altered temperatures, threaten crop yields and exacerbate water scarcity. Precision agriculture addresses these challenges by enabling efficient irrigation, optimized fertilizer application, and proactive disease management. Biotechnology complements these efforts by developing drought-tolerant and stress-resistant crop varieties, reducing the vulnerability of agriculture to climate fluctuations. The integration of these approaches reduces the environmental footprint of agriculture by minimizing the need for synthetic pesticides and fertilizers, promoting no-till farming practices, and enhancing carbon sequestration. However, the integration of biotechnology and precision agriculture also presents challenges. Data management, cybersecurity risks within smart farming systems, and public acceptance of genetically modified organisms are critical considerations. Furthermore, while biotechnology has shown economic benefits for some farmers and increased crop yields, its impact on food security in developing countries remains limited. Addressing these challenges requires robust regulatory
frameworks, transparent communication with the public, and equitable access to
these technologies for farmers worldwide. Future prospects include the continued advancement of gene-editing technologies, the development of self-regulating agricultural systems, and the increased integration of digital technologies for data- driven decision-making. By carefully addressing the associated challenges, the
convergence of biotechnology and precision agriculture holds immense promise for achieving a sustainable and food-secure future.
... Additionally, many professionals lack the necessary skills and understanding to effectively use AI in their work settings. The scarcity of training programs and educational resources further exacerbates this knowledge gap, hindering the development of an AI-capable workforce [3,13]. Concerns about potential job displacement and ethical issues surrounding AI implementation also contribute to resistance among some professionals. ...
This study aims to explore the factors influencing the adoption of artificial intelligence (AI) among professionals in Bangladesh, with a particular focus on the mediating role of attitudes toward AI in the adoption process. The research is grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT). Data were collected through a structured questionnaire distributed to 551 professionals across various sectors in Bangladesh, yielding 330 usable responses. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed hypotheses. The quantitative approach facilitated a comprehensive examination of direct and mediated relationships between constructs. The findings indicate that performance expectancy, effort expectancy, social influence and facilitating conditions significantly influence behavioral intentions to adopt AI. Attitudes toward AI were found to mediate the relationship between these factors and the intention to use AI. Notably, performance expectancy, social influence and facilitating conditions had the strongest effects on behavioral intention, while effort expectancy was also important predictors. The study is limited by its reliance on self-reported data, which may be subject to social desirability bias. Future research could explore longitudinal designs and additional factors such as organizational culture and environmental influences. The findings provide actionable insights for policymakers and organizational leaders to develop targeted strategies that promote AI adoption among professionals in developing countries. Understanding AI adoption in a developing country can help bridge the digital divide and promote inclusive technological growth. This study contributes to the literature by integrating UTAUT in a developing country context, highlighting the mediating role of attitudes in AI adoption.
Goal: This study examines the relationships among key supply chain drivers supply chain agility (SCA), supply chain visibility (SCV), supplier collaboration (SC), and technology integration (TI) and their impact on supply chain performance (SCP), emphasizing the mediating role of supply chain responsiveness (SCR) in the FMCG sector in Bangladesh. By providing empirical insights into these interactions, the study aims to enhance both academic discourse and practical strategies for optimizing supply chain efficiency in a rapidly growing industry.
Design/methodology/approach: A quantitative research design was employed, utilizing a structured questionnaire distributed among FMCG companies in Bangladesh. Out of 360 distributed questionnaires, 217 responses were collected, with 198 valid responses used for analysis. Structural equation modeling (PLS-SEM) via Smart PLS 4 was applied to test the proposed relationships. The study assessed the measurement model for validity and reliability before evaluating the structural model to examine direct and mediating effects.
Findings: The results confirm that SCA and SCV significantly impact SCR, which in turn enhances SCP. While SC and TI do not have direct effects on SCP, they exert significant influence when mediated by SCR. These findings highlight the critical role of responsiveness in strengthening the effectiveness of key supply chain drivers in FMCG firms.
Practical implications: The study provides actionable insights for FMCG firms aiming to improve supply chain performance by enhancing agility, visibility, and responsiveness. Investments in digital integration and real-time monitoring can strengthen these relationships and drive operational excellence.
Social implications: By improving supply chain responsiveness, FMCG firms can enhance service efficiency, reduce lead times, and better meet consumer demands, ultimately contributing to a more resilient supply chain ecosystem in Bangladesh.
Originality/value: This study offers novel insights into the mediating role of SCR in supply chain management, particularly within an emerging market context. It expands existing literature by integrating responsiveness as a key factor in performance enhancement.
Limitations: The study is limited to the FMCG sector in Bangladesh and relies on cross-sectional data. Future research should explore longitudinal effects and comparative analyses across industries.
In startup business models, strategic partnerships are held as a key to developing agility and resilience. Startups can engage in alliances that not only allow them to reinforce an emerging business model but also share values linked to sustainable development goals. Fundamental to the research is the idea that partnership frameworks can facilitate the scale needed to address operational and market factors that allow for innovation in response to changing business environments. Closing at a very pivotal point, the chapter consists, as noted before, of case studies and theoretical considerations that support startups looking to establish resilient business models by embedding sustainability right into their core. The findings demonstrate a deep and universal truth: co-creation, shared value, and virtuous behavior in business are the core ingredients of how we achieve long-term resilience and success in an evolving world.
This study aims to investigate the factors influencing the adoption of AI image generators among marketing agencies in Bangladesh, focusing particularly on the mediating role of perceived usefulness (PU). Employing a quantitative approach, data was collected from 170 respondents working in various marketing roles across different agencies in Bangladesh. Structural Equation Modeling (SEM) was utilized to analyze relationships among the constructs such as performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), attitude towards technology (ATT), perceived risk (PR), social influence (SI), perceived usefulness (PU), and behavioral intention (BI) to Adopt AI image generators. Findings reveal that PE, FC, and ATT positively influence PU, which subsequently predicts BI significantly. Conversely, PR negatively impacts PU, while EE and SI exhibit weaker effects. The study underscores the pivotal role of perceived usefulness in shaping the adoption intentions of AI image generator among marketing professionals in Bangladesh. Limitations include the study's cross-sectional design and industry-specific focus, suggesting potential avenues for future research to explore longitudinal effects and compare adoption dynamics across diverse industries and regions. Practical implications highlight the importance for marketing agencies to emphasize performance benefits, Social Influence, and positive attitudes towards AI while addressing perceived risks to foster successful adoption of AI image generators. Socially, the study underscores AI's potential to drive innovation and enhance competitiveness to commercialize AI technologies in developing economies. This research contributes to literature by applying established technology adoption models to a new context, offering insights into AI technology adoption within the marketing sector of a developing nation.
This study aims to explore the impact of Artificial Intelligence (AI) on Human Resource Management (HRM) practices in Bangladesh, focusing on talent acquisition and employee engagement. The research seeks to analyze the use of AI in recruitment processes, the extent to which AI enhances employee engagement, and the challenges organizations face in adopting AI technologies within HRM. A qualitative research design was employed, utilizing semi-structured interviews with HR professionals, employees, and industry experts across various sectors in Bangladesh. A total of 60 interviews were conducted to gather insights on AI adoption, its effects on HRM, and the challenges encountered during its implementation. The study reveals that AI has significantly improved recruitment efficiency, reduced bias in selection, and enhanced employee engagement through personalized experiences and real-time feedback systems. However, challenges such as high costs, resistance to change, and concerns about privacy and job security were also identified. This research provides valuable insights into the benefits and challenges of AI integration in HRM, contributing to the understanding of how AI can shape HR practices in developing economies like Bangladesh. It also opens avenues for further studies on AI adoption in HRM, particularly in emerging markets. Organizations in Bangladesh can leverage AI technologies to improve recruitment processes and enhance employee engagement. However, careful consideration of ethical issues, employee concerns, and infrastructural barriers is essential for successful adoption. AI in HRM can improve job matching, reduce bias, and enhance employee satisfaction. However, its adoption needs to be managed carefully to avoid potential negative impacts on job security and privacy. This study offers novel insights into AI adoption in HRM within the context of Bangladesh, providing a basis for future research and practical applications in HRM across developing countries. The study is limited to a small sample size and specific geographic context, which may limit the generalizability of the findings to other regions.
Introduction A variety of definitions surrounding green marketing have been established, with some definitions emphasizing the promotion of environmentally friendly goods, while others encompass a broader notion that includes sustainable production methods and dedication to corporate social responsibility. However, this investigation improves five specific practices identified within green marketing: the creation of eco-friendly products, the prioritization of energy efficiency, the incorporation of sustainable materials, the removal and proper management of hazardous substances, and the practice of documenting consumer awareness. The study aims to analyze how these practices impact the formulation and distribution of marketing messages, particularly noting clear indicators such as green labels and eco-friendly claims. It is anticipated that investigating these facets of green marketing will reinforce awareness of sustainable purchasing habits and provide valuable insights that could contribute significantly to the existing academic discourse on the matter. (Mohammad et al.2023)
This research seeks to evaluate the impact of mobile financial services (MFS) on enhancing financial inclusion in Bangladesh. A quantitative research methodology was employed to survey a sample of 282 respondents, examining how factors such as digital literacy, mobile phone access, transaction fees, service awareness, and regulatory frameworks affect the utilization and efficacy of mobile financial services in promoting financial inclusion. The data was evaluated by descriptive statistics, reliability testing, and correlation analysis to investigate the links between different factors and financial inclusion results. The results indicate that digital literacy and mobile phone accessibility are crucial determinants of mobile financial services utilization, but transaction costs and regulatory frameworks significantly influence user behavior. Recognition of accessible services also surfaced as a crucial determinant in promoting MFS use, but it cannot alone surmount obstacles such as restricted mobile phone access and digital illiteracy. The research emphasizes the significance of robust regulatory rules in promoting trust and innovation in the MFS industry, hence enhancing financial inclusion. Nonetheless, the study's shortcomings include its dependence on self-reported data and the cross-sectional design of the survey, which constrains the capacity to draw causal conclusions. Policymakers and mobile service providers must prioritize strengthening digital literacy, reducing transaction costs, and upgrading infrastructure to fully use the promise of mobile financial services in advancing financial inclusion. Socially, MFS may enhance access to financial services, especially in rural and disadvantaged regions, so fostering greater economic empowerment. This study provides significant insights for both scholars and professionals in the domain of financial inclusion and mobile services.
Resource management in agriculture is considered a pivotal issue because greenhouse farming and agriculture-related activities generate about 10–29% of all global greenhouse gas emissions. The problem of high greenhouse gas emissions is still unresolved due to the rapid expansion of arable land to meet global food demand. The purpose of this systematic literature review was to generate new perspectives and insights regarding the development of resource management and optimized environments in greenhouses, thereby lowering energy requirements and CO2 emissions. This review sought to answer what technologies and inventions could be used to achieve zero greenhouse gas emissions through efficient energy-saving mechanisms while considering their technical and economic viability. The synthesis of the findings led to several themes which included energy-saving techniques for greenhouses, systems that reduced unfavorable external conditions and renewable energy systems. Other themes identified regarded energy storage systems, systems for managing conditions in greenhouses, carbon capture and storage, and factors influencing the performance of different technologies to enhance resource management and ensure zero carbon emissions. The findings also revealed various technologies used in the design of energy-saving techniques in greenhouses including proportional–integral–derivatives (PID), fuzzy, artificial neural networks, and other intelligent algorithms. Additionally, technologies that were a combination of these algorithms were also examined. The systems that reduced unfavorable external conditions included the use of insulation panels and intelligent shading systems. Greenhouse covers were also optimized by smart glass systems, sensors, Internet of Things (IoT), and Artificial Intelligence (AI) systems. Renewable energy systems included PV (solar) panels, wind turbines, and geothermal electricity. Some of the thermal energy storage systems widely studied in recent research included underground thermal energy storage (UTES) (for seasonal storage), phase-change materials (PCMs), and water tanks, which are used to address short-term shortages and peak loads. The adoption of the various technologies to achieve the above purposes was constrained by the fact that there was no isolated technology that could enable agricultural producers to achieve zero energy, zero emissions, and optimal resource utilization in the short term. Future research studies should establish whether it is economical for large agricultural companies to install smart glass systems and infrastructure for slow fertilizer release and carbon capture in greenhouse structures to offset the carbon footprint.
Renewable energy technologies (RET) ensure clean and affordable energy, thus ensuring sustainable communities and smart cities. This study provides a comprehensive overview of RETs and serves as a foundation for further exploration and understanding of RETs, paving the way for a sustainable and clean energy future. The study begins with an overview of renewable energy, emphasizing its significance in the current energy landscape. The layout follows a systematic approach, starting with solar energy. The section on solar energy discusses photovoltaic (PV) technology and concentrated solar power (CSP) systems, highlighting their working principles, different types, and applications. The following section focuses on wind energy, covering both onshore and offshore wind turbines and elucidating their working mechanisms, various types, and diverse applications. The study explores conventional hydropower, run-of-river hydropower, and pumped storage hydropower, providing insights into their working principles, applications, and advantages. The subsequent section delves into biomass energy, presenting different biomass feedstocks such as agricultural residues, forest biomass, and energy crops. It also examines biomass conversion technologies like combustion, gasification, and anaerobic digestion while discussing the applications and benefits of biomass energy. Geothermal energy is then introduced, outlining the various types of geothermal power plants, including binary cycle plants, flash steam plants, and dry steam plants. The section sheds light on geothermal energy’s applications and advantages. Finally, the study summarizes the renewable energy technologies discussed, emphasizing the importance of transitioning to renewable energy and highlighting prospects and challenges.
As artificial intelligence (AI) continues to advance, its integration into the field of education presents both promising opportunities and ethical challenges. This chapter explores the multifaceted landscape of AI in education, examining the ethical considerations associated with its implementation. The opportunities encompass personalized learning experiences, adaptive assessment tools, and efficient administrative processes. However, ethical concerns arise regarding data privacy, algorithmic bias, accountability, and the potential exacerbation of educational inequalities. Artificial intelligence is a field of study that combines the applications of machine learning, algorithm production, and natural language processing. Applications of AI transform the tools of education. AI has a variety of educational applications, such as personalized learning platforms to promote students' learning, automated assessment systems to aid teachers, and facial recognition systems to generate insights about learners' behaviors.
The Arrival of the Electric Car: Buyer’s Guide, Owner’s Guide, History, Future - Are you considering buying an electric vehicle? All of us are witnessing a once-in-a-lifetime transformation. For over one hundred years, gasoline and diesel fuels have powered ground transportation throughout the world. Now that is changing, and 2023 is the year when most people will recognize that change is happening. This book is a comprehensive, easy-to-understand overview of the passenger EV universe including guides for buying and owning an electric car. The authors discuss choosing, owning and driving an electric car, then explain the features, advantages, benefits and limitations of over 45 EV models including pickup trucks, SUVs, and sedans. "If you have to have a car, make it an electric car. As this book makes clear, they are better than old-fashion vehicles in every way." -Bill McKibben, American environmentalist and climate change authority; co-founded 350.org and spearheaded the fossil fuel divestment campaign resulting in endowments worth more than $15 trillion stepping back from oil, gas and coal. "Thankfully, now that the electric vehicle R&D "dark ages" are coming to an end and automakers around the world are charging up their EV programs, there's no doubt that we're about to see massive, valuable change in our transportation landscape." -Sebastian Blanco, one of America's leading electric car journalists who has been writing about EVs since 2006.
The ending chapter of this book explores the underlying issues of global sustainability perplexed by the rapid industrialization of the world over the last century, globalization over the past decades, and, more recently, the global political economy. It reveals the intertwined challenges to global sustainability and potential mitigations through financial and technological innovation, development of a circular economy, as well as deployment of green technologies on a global scale. The regulatory measures of financial institutions adopting sustainability principles countering neoclassical corporate finance as a singular disciplinary concept that hinges on self-interest as well as the criticalness of leadership through global governance for sustainability transformation to impel political institutions and ingrain policy innovation measures to overcome disparities in ideology are articulated.
