Search Results (90)

The rapid uptake of electric vehicles (EVs) in the Jawa–Madura–Bali (Jamali) grid produces highly variable charging demands that threaten the supply–demand balance. To forestall instability, we developed a predictive simulation based on long short-term memory (LSTM) networks that combines historical generation and consumption patterns with models of EV population growth and initial charging-time (ICT). We introduce a novel supply–demand balance score to quantify weekly and annual deviations between projected supply and demand curves, then use this metric to guide the machine-learning model in optimizing annual growth rate (AGR) and preventing supply demand imbalance. Relative to a business-as-usual baseline, our approach improves balance scores by 64% and projects up to a 59% reduction in charging load by 2060. These results demonstrate the promise of data-driven demand-management strategies for maintaining grid reliability during large-scale EV integration. Full article

Micro, Small, and Medium Enterprises (MSMEs) are vital drivers of economic growth in Kenya, yet they face persistent barriers, including limited capacity, financial exclusion, and weak market integration. This study assessed the potential of universities as strategic hubs for MSME capacity building through a collaborative initiative between Egerton University and the KCB Foundation. Using the International Labour Organization’s Start and Improve Your Business (SIYB) methodology, 481 entrepreneurs from Egerton, Njoro, and Gilgil were trained in a business development bootcamp. This study evaluated the training effectiveness, participant demographics, confidence in skill application, networking outcomes, and satisfaction levels. The results showed high participant confidence (over 95% across all regions), strong financial management uptake (85%), and mobile banking adoption (70%). Gilgil led in inclusivity and peer engagement, while Njoro showed stronger gender representation. However, logistical challenges caused 25% absenteeism in rural areas, and only 23% accessed post-training mentorship. These findings underscore the transformative role of HEIs in fostering sustainable entrepreneurship through localized, inclusive, and industry-aligned training. Policy recommendations include hybrid delivery models, tiered curricula for diverse skill levels, and institutionalized mentorship through public–private partnerships. This case demonstrates the value of embedding entrepreneurship support within university mandates to advance national MSME development agendas. Full article

Although, the use of sensors is increasing in a wide range of fields with great success (e.g., food, environment, pharma, etc.), their uptake is slow and lower than other innovations. While the uptake is low, some users, producers, and service industries are continuing to benefit from the incorporation of technology in their business. Among these technologies, vibrational spectroscopy has demonstrated its benefits and versatility in a wide range of applications. Both conventional near-infrared (NIR) spectroscopy and hyperspectral imaging (HSI) systems are two of the main techniques utilized in a wide range of applications in different fields. These techniques use the NIR region of the electromagnetic spectrum (750–2500 nm). Specifically, NIR-HSI systems provide spatial information and spectral data, while conventional NIR spectroscopy provides spectral information from a single point. Even though there is a clear distinction between both techniques in terms of their benefits, confusion still exists among users about their similarities and differences. This paper provides a critical discussion of the main advantages and limitations of both techniques, focusing on food science applications. Full article

Over the past few decades, many environmental labels and schemes have been established at different levels to verify the degree to which businesses are operating in an environmentally sustainable manner and to inform tourist choices. These voluntary tools are used by tourist accommodation services to guarantee quality and conformity to high environmental and sometimes broader performance criteria, drive sustainability awareness and act as a marketing tool. According to the EU’s “Transition Pathway for Tourism” and “European Agenda for Tourism 2030”, environmental labels and schemes can play a role in driving the green transition and strengthening the contribution of tourism to the European Green Deal. This article summarises the main findings from an online survey conducted among global entities managing environmental labels and schemes for tourist accommodation services. The aim of this study is to provide a first characterisation at the European Union level. The results show that, in addition to EU tools such as the EU Ecolabel and the EU Eco-Management and Audit Scheme, a diverse range of other labels and schemes is available on the market, but further harmonisation, clarity, and transparency are required to enhance the uptake and effectiveness of these tools for the accommodation sector. Full article

Standard carbon accounting methods and metrics undermine the potential of fast-growing biogenic materials to decarbonize buildings because they ignore the timing of carbon uptake. The consequence is that analyses can indicate that a building material is carbon-neutral when it is not climate-neutral. Here, we investigated the time-dependent effect of using fast-growing fibers in durable construction materials. This study estimated the material stock and flow and associated cradle-to-gate emissions for four residential framing systems in the US: concrete masonry units, light-frame dimensional timber, and two framing systems that incorporate fast-growing fibers (bamboo and Eucalyptus). The carbon flows for these four framing systems were scaled across four adoption scenarios, Business as Usual, Early-Fast, Late-Slow, and Highly Optimistic, ranging from no adoption to the full adoption of fast-growing materials in new construction within 10 years. Dynamic life cycle assessment modeling was used to project the radiative forcing and global temperature change potential. The results show that the adoption of fast-growing biogenic construction materials can significantly reduce the climate impact of new US residential buildings. However, this study also reveals that highly aggressive, immediate adoption is the only way to achieve net climate cooling from residential framing within this century, highlighting the urgent need to change the methods and metrics decision makers use to evaluate building materials. Full article

Artificial intelligence (AI) has become a prevalent part of many businesses, including higher education. AI is progressively gaining traction as an instrumental engagement tool in higher education institutions (HEIs). The premise underlying this trend is the potential of robots to foster enhanced student engagement and, consequently, elevate academic performance. Considering this development, HEI’s must probe deeper into the possible adoption of robotics in educational practices. This paper aims to conduct a comprehensive exploration into the adoption of robotics in teaching and learning in the higher education space. To provide a holistic perspective, this study poses three questions: what factors influence robotics uptake in HEIs, how can robots be integrated to improve teaching and learning in HEIs, and what are the perceived benefits of robotics implementation in teaching and learning. A bibliometric analysis and comprehensive review methodology were employed in this study to provide an in-depth assessment of the development, significance, and implications of robotics in HEIs. The dual approach offers a robust evaluation of robotics as a pivotal element needed for the enhancement of teaching and learning practices. The study’s findings uncover the increasing adoption of robotics within the higher education sphere. It also identifies the challenges encountered during adoption, ranging from technical hurdles to educational adjustments. Furthermore, this paper offers guidelines for various stakeholders for the effective integration of robotics into higher education. Full article

Blockchain technologies have the potential to fundamentally change logistics and supply chain management. By leveraging the capabilities of blockchain technology, businesses can increase efficiency, reduce costs, and improve security and trust in operations. However, there are still difficulties to overcome in terms of uptake and implementation. This article examines the various blockchain technologies applicable in the field of logistics, presents the benefits and limitations of blockchain technologies in this aspect, and offers a summary of the existing technologies used in the logistics sector. According to this, blockchain-based models applicable both to a specific stage of the logistics process (e.g., transportation of goods, materials, and feedstocks; management of warehouse operations; cargo tracking; etc.) and related insurance services have been proposed. The proposed models have been tested in a lab environment on the HyperLedger Fabric platform, and the results show that they are fully functional. Full article

As forest-based climate change mitigation has become a crucial element of international climate policy it is of increasing importance to understand the processes leading to the carbon offsetting capacity of the sector. In our study, we assessed the climate benefits of contrasting forest management strategies: decreasing harvest and enlarging the forest carbon stock, or increasing harvest to increase carbon uptake, wood product carbon pools, and substitution effects. We developed the Forest Industry Carbon Model (FICM) which is a new carbon accounting tool covering forest biomass, dead organic matter, soil, and harvested wood product pools, as well as avoided emissions through product and energy substitution. We modeled the carbon balance of the Hungarian forest industry under three different scenarios. In the business as usual (BAU) scenario, we assumed no changes in the current harvest and afforestation levels. In the extensification scenario, we assumed that the harvest and afforestation levels drop to half, while in the intensification scenario, we assumed an increase in afforestation, improved industrial wood assortments, and a gradual increase in logging, reaching the highest level as per sustainability criteria by 2050. Our results show that the intensification scenario is characterized by the largest net removals and the maximized product and energy substitution effects. By 2050, the net forest industry carbon balance reaches −8447 kt CO₂ eq under the BAU scenario, while −7011 kt CO₂ eq is reached under the extensification scenario and −22,135 kt CO₂ eq is reached under the intensification scenario. Although substitution effects are not accounted for under the land-based (LULUCF) sector in the greenhouse gas inventory, the emission reductions in the industry and energy sectors have beneficial effects on the national carbon balance. Modeling results show that the 2030 LULUCF greenhouse gas removal target set by EU legislation for Hungary is reached under the intensification scenario. To achieve this outcome, widespread innovation is needed in the wood sector. The modeling results show that nonutilization of forests can only be a very short-term solution; however, its favorable effects will be reversed by 2050 resulting in additional emissions compared to the BAU scenario. Full article

Technologies, such as Chat Generative Pre-Trained Transformer (ChatGPT), are prime examples of Generative Artificial Intelligence (AI), which is a constantly evolving area. SMEs, particularly startups, can obtain a competitive edge, innovate their business models, gain business value, and undergo a digital transformation by implementing these technologies. Continuous but gradual experimentation with these technologies is the foundation for their adoption. The experience that comes from trying new technologies can help entrepreneurs adopt new technologies more strategically and experiment more with them. The urgent need for an in-depth investigation is highlighted by the paucity of previous research on ChatGPT uptake in the startup context, particularly from an entrepreneurial perspective. The objective of this research study is to empirically validate the Generative AI technology adoption model to establish the direction and strength of the correlations among the adoption factors from the perspectives of the entrepreneurs. The data are collected from 482 entrepreneurs who exhibit great diversity in their genders, the countries in which their startups are located, the industries their startups serve, their age, their educational levels, their work experience as entrepreneurs, and the length of time the startups have been on the market. Collected data are analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique, which results in a statistical examination of the relationships between the adoption model’s factors. The results indicate that social influence, domain experience, technology familiarity, system quality, training and support, interaction convenience, and anthropomorphism are the factors that impact the pre-perception and perception phase of adoption. These factors motivate entrepreneurs to experiment more with the technology, thereby building perceptions of its usefulness, perceived ease of use, and perceived enjoyment, three factors that in turn affect emotions toward the technology and, finally, switching intentions. Control variables like age, gender, and educational attainment have no appreciable effect on switching intentions to alternatives of the Generative AI technology. Rather, the experience factor of running businesses shows itself to be a crucial one. The results have practical implications for entrepreneurs and other innovation ecosystem actors, including, for instance, technology providers, libraries, and policymakers. This research study enriches the Generative AI technology acceptance theory and extends the existing literature by introducing new adoption variables and stages specific to entrepreneurship. Full article

Industry 4.0 technologies have business process re-engineering capabilities that can radically improve process performance and increase the effectiveness of communication and collaboration between actors. Despite the significant emphasis on technology adoption, the slow uptake rate can be attributed to ignoring nontechnical aspects, such as systemic change concerning people and processes. There are ample Industry 4.0 maturity models in the literature; however, a common criticism of maturity models lies in their applicability. This paper attempts to address this criticism by presenting two case studies where maturity assessments for general contractors were conducted to understand how ready they were to adopt to Industry 4.0 and what they could do to improve their current readiness. This paper aims to answer the following research questions: (1) Can the Industry 4.0 maturity modelling literature be applied in an organisational context for a construction general contractor? (2) Do construction general contractors relate to such an assessment? To answer the research questions, a comprehensive assessment of the Industry 4.0 maturity of two general contractors was conducted, thereby intending to support their strategic planning and systematise their transformation in Industry 4.0. The richness of the findings lies in the detailed understanding of the organisation’s current Industry 4.0 capabilities and future plans, thereby establishing the applicability of the maturity attributes identified from the literature and confirming whether the managers of a construction organisation can relate to them. Full article

This study proposes a multi-stakeholder framework to enhance fintech use in Africa, aiming to improve financial inclusion and achieve the Sustainable Development Goals. This article analyzes past research and frameworks built to help stakeholders in developing nations adopt fintech, some of which have been tested in African states with limited success. The study recommends prioritizing national ownership, creating an enabling environment for private sector investment, partnering with multilateral development banks and other stakeholders, fostering innovation and digital literacy, and focusing on cost-effective, non-government-guaranteed financing. In accordance with the G20’s High-Level Principles for Digital Financial Inclusion, a country-specific strategy can boost financial technology and digital financial services uptake in Africa. Each government may build a legislative climate that supports innovation and competition, strengthens its digital infrastructure, increases digital literacy and awareness, and collaborates with private sector stakeholders to extend financial inclusion. Partnerships with businesses, international organizations, and other nations can help The Better Than Cash Alliance (TBTCA) promote fintech adoption. Countries can use fintech companies to build and implement national digital payment infrastructure by joining the Alliance. Finally, the mSTAR program advises cooperating with USAID to promote marginalized people, incorporate digital financial services, increase public–private engagement, and educate and train policymakers, practitioners, and technologists. These ideas can help African governments adopt fintech products faster and enhance financial inclusion. Full article

A business model represents an organisation’s value logic with a value proposition as the central dimension. The construction industry has been categorised as fragmented, slow to move and destructively competitive, idealising only cost-based perceptions of performance; however, recent trends indicate a paradigm shift in the sector emphasising value-based perspectives such as early engagement, design for manufacture and assembly, and a lifecycle approach by promoting a conscious discourse on business model innovation. This paper presents a systematic review and integration of research on business models in the construction industry. The findings illuminate the potential of business models as creative tools for strategy formulation, the importance of strategic partnerships in novel business models, and the bridging role that business models play between technology integration and strategy formulation. Based on the findings, the paper proposes future research directions, including understanding how managers can steer conflicts towards cooperative competition (coopetition), exploring various pathways (leaping and drifting) for business model innovation and project-based business model innovation. The paper establishes that using a business model approach to facilitate strategic transformation can help construction firms resolve some of the most pressing challenges, such as customer dissatisfaction, fragmentation, and slow technology uptake. Full article

Smallholder farmers are key contributors to food security globally, and more so in developing countries. Despite their critical role in food security, smallholder farmers are highly constrained by specific contextual challenges such as climate change, productivity, cost of production, credit access, and financial resources constraints that impact their sustenance, sustainability, and growth. Digital agriculture has emerged as a viable solution to addressing smallholder farmers’ contextual challenges, with many digital solutions already existing and developed to serve the agriculture sector. However, many smallholder farmers are beyond the reach of these digital solutions due to underdeveloped or nonexistent digital ecosystems. This paper reports on a systematic review conducted to examine the research that has been undertaken regarding digital agriculture ecosystems in relation to smallholder farmers and to identify challenges, usage, benefits, access, and uptake of the systems. The key findings reveal very limited research directed at digital literacy or skills, affordability, and business model innovation. Most of the challenges concern digital infrastructure, affordability, and digital literacy or skills. The findings also reveal that although digital agriculture is still a nascent concept to smallholder farmers, there are a few early adopters who access information mainly related to agriculture, selling, and marketing. There is, nonetheless, a lack of understanding of the value of digital agriculture systems. The study develops a research agenda that could facilitate digital transformation for smallholder farmers. Full article

The phenomenon of vaccine hesitancy is a growing threat to public health with far-reaching implications. The widening gap between the vaccinated and the proportion of vaccinated people needed for herd immunity raises two critical research questions that are of interest to practitioners, researchers, and policymakers: (1) What determines one’s decision to be vaccinated? (2) What is the implication of COVID-19 vaccine hesitancy for economic recovery? In this study, we use empirical data in the context of South Africa to investigate factors affecting COVID-19 vaccine hesitancy and their implications for economic recovery. Findings reveal key socio-demographic and institutional drivers of COVID-19 vaccine hesitancy, which include age (the youth are more hesitant), inadequate information on the vaccine (those who perceive they have adequate information are vaccinated), trust issues in government institutions, conspiracy beliefs, vaccine-related factors, and perceived side effects associated with the vaccine. Additionally, an individual’s decision to remain hesitant about COVID-19 vaccination has implications for businesses and the economy by limiting movement and trade, increasing unemployment, and causing a resurgence of new variants. Based on the findings, action plans such as information dissemination, convenience vaccination centers, consistent communications, and targeted campaign strategies are recommended for improving vaccine uptake and a positive economic recovery. Full article

Demand Side Management (DSM) is a cost-effective approach to managing electricity networks, aimed at reducing capacity requirements and costs, increasing the penetration of renewable generation, and reducing power system emissions. This review article explores the distinctive characteristics of electricity demand in the industrial, commercial, and residential sectors, and their relationship to successful implementation of DSM. The constraints and considerations for DSM are characterized as technical, economic, and behavioral factors, such as process requirements, business operation constraints, and consumer decisions, respectively. By considering all three types of factors and their impacts in each sector, this review contributes novel insights that can inform the future implementation of DSM. DSM in the industrial and commercial sectors is found to be primarily constrained by technical considerations, while DSM in the commercial sector is also subject to economic constraints. Conversely, residential demand is found to be primarily constrained by human behavior and outcomes, highly variable, and the largest contributor to peak demand. This review identifies sector-specific opportunities to enhance DSM uptake. Industrial DSM uptake will benefit from technological and process improvements; commercial DSM uptake can benefit from enhanced economic incentivization; and residential DSM uptake can benefit from improved understanding of the interactions between human behavior, human outcomes, and energy use. Finally, this review investigates behavioral models and concludes that agent-based models are best suited for integrating these interactions into energy models, thereby driving the uptake of DSM, particularly in the important residential sector. Full article