Search Results (137)

The integration of artificial intelligence (AI), big data analytics, and blockchain technologies within the digital economy presents transformative opportunities for promoting low-carbon urban development. However, a systematic understanding of how these digital innovations influence urban carbon mitigation remains limited. This study addresses this gap by proposing two research questions (RQs): (1) What are the key success factors for artificial intelligence, big data, and blockchain in urban carbon emission reduction? (2) How do these technologies interact and support the transition to low-carbon cities? To answer these questions, the study employs a hybrid methodological framework combining the decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) techniques. The data were collected through structured expert questionnaires, enabling the identification and hierarchical analysis of twelve critical success factors (CSFs). Grounded in sustainability transitions theory and institutional theory, the CSFs are categorized into three dimensions: (1) digital infrastructure and technological applications; (2) digital transformation of industry and economy; (3) sustainable urban governance. The results reveal that e-commerce and sustainable logistics, the adoption of the circular economy, and cross-sector collaboration are the most influential drivers of digital-enabled decarbonization, while foundational elements such as smart energy systems and digital infrastructure act as key enablers. The DEMATEL-ISM approach facilitates a system-level understanding of the causal relationships and strategic priorities among the CSFs, offering actionable insights for urban planners, policymakers, and stakeholders committed to sustainable digital transformation and carbon neutrality. Full article

This paper focuses on regeneration projects in ‘first-generation’ seaside resorts in England from the perspective of those leading and managing such projects. There have been numerous recent initiatives intended to revive seaside resorts and enable them to regain competitiveness, but limited analysis of what is necessary for such regeneration projects to be successful. This paper contributes to debates about the role of critical success factors (CSFs) in regeneration by identifying issues that apply to the specific context of seaside resorts. In-depth interviews were undertaken with ten managers responsible for individual projects focusing on the CSFs necessary for regeneration projects to succeed. Four such factors were identified: (1) the need to secure appropriate funding (and associated difficulties); (2) the importance of involving stakeholders (particularly the local authority and local community); (3) the need for a strong business plan (which must evolve as the project progresses); and (4) the importance of considering best practices elsewhere. The importance of each success factor varied by the sector (public/commercial/third) leading the regeneration initiative and varied at different stages of a regeneration project. These findings have practical implications for local authorities, commercial enterprises, and third-sector bodies in seaside destinations. Full article

Heightened environmental policies along with the necessity for a resilient supply chain (SC) network have driven companies to adopt circular economy (CE) strategies. Although CE initiatives have shown significant effects on SC operations, the advent of digital technologies is encouraging businesses to digitize their SCs. However, the relationship connecting SC digitalization with CE practices remains underexplored. This study presents a novel framework that bridges the gap between CE principles and SC digitalization by identifying and prioritizing critical success factors (CSFs) for implementing SC4.0 in a circular economy context. We conducted a comprehensive literature review to determine CSFs and approaches relevant to Supply Chain 4.0 (SC4.0), and expert insights were gathered using the Delphi method for final validation. To capture the complex interrelationships among these factors, the study employed a combined approach using Intuitionistic Fuzzy Set (IFS), Analytic Network Process (ANP), decision-making trial and evaluation laboratory, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) techniques to assess the CSFs and strategies. The findings highlight that an intelligent work environment, performance tracking, and data accuracy and pertinence are the top three critical CSFs for SC digitalization. Furthermore, enhancing analytical capabilities, optimizing processes through data-driven methods, and developing a unified digital platform were identified as key strategies for transitioning to SC4.0. By embedding CE principles into the evaluation of digital SC transformation, this research contributes a novel interdisciplinary perspective and offers practical guidance for industries aiming to achieve both digital resilience and environmental sustainability. The study delivers a comprehensive evaluation of CSFs for SC4.0, applicable to a variety of sectors aiming for digital and sustainable transformation. Full article

Businesses are facing increasing pressure to transition to a sustainable economy, requiring the integration of environmental, social, and economic aspects into their corporate strategies. Despite the proliferation of sustainability frameworks, many companies struggle to implement them effectively due to a lack of strategic focus. This study develops a taxonomy of critical success factors (CSFs) for implementing corporate sustainability strategies in production companies, addressing a gap in current research that often focuses on strategy design rather than practical execution. A systematic literature review was conducted to identify critical success factors influencing successful implementation and categorise them, providing a comprehensive understanding of their roles. The proposed taxonomy includes five dimensions: organisational culture, organisational structure, performance management, resources (including digitalisation and technology), and stakeholder integration (including sustainable supply chain management). An explanation is provided of the role of identified CSFs in the successful implementation of corporate sustainability strategies and their interrelationships. The taxonomy serves as a tool for production companies to manage critical success factors influencing the successful implementation of sustainability. This research contributes to the growing body of knowledge on sustainability by providing practical insights for effective strategy implementation and calls for more empirical studies to explore this area further. Full article

This study identifies key drivers for ERP implementation in small- and medium-sized enterprises (SMEs) in Austro–Ecuador and examines their impact on operational efficiency, strategic adaptability, and digital transformation. Motivated by the limited empirical evidence on ERP adoption in Latin American SMEs, this research aims to provide Austro–Ecuadorian insights that contribute to innovation management practices in emerging economies. To identify the critical success factors (CSFs) influencing ERP implementation, a four-phase methodology was employed, encompassing a CSF literature review, data collection and case analysis from 55 SMEs, multiple correspondence analysis (MCA), and descriptive ERP analysis. Statistical analysis of the surveyed SMEs, primarily from manufacturing sectors, revealed that while a significant portion (37%) lacked ERP experience, 22.9% were in the process of implementing or actively using systems such as Oracle’s J.D. Edwards Enterprise One and SAP. The MCA highlighted ERP system configuration, vendor relationships, and user training as significant factors for successful ERP implementation, reported by 54.5% of the companies. Quadrant analysis further emphasized the influence of IT structure and legacy systems on implementation characteristics, with cluster analysis identifying three distinct groups of companies based on their ERP strategies. The findings underscore the importance of top management support, business process re-engineering, and external consultants for successful ERP adoption in SMEs, providing practical insights for optimizing innovation management in the digital era. Future research should investigate the long-term impacts of ERP systems on organizational performance and innovation sustainability. Full article

There are conflicting findings in the literature regarding the factors that influence school success. This uncertainty complicates the effective allocation of resources. The present study aims to identify critical success factors (CSFs) for schools by incorporating the perspectives of various stakeholders and addressing this gap in the literature. Additionally, a comprehensive performance measurement model is developed to ensure the sustainability of success. A three-phase complementary methodology was employed with 330 participants, including school administrators, students, and parents, from 23 high schools in Istanbul. Fuzzy cognitive mapping (FCM) was utilized to identify critical success factors (CSFs) by calculating centrality index values. Additionally, a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis was conducted to assess the institutional context, and a balanced scorecard (BSC) was developed for performance measurement. According to the results from FCM and SWOT analysis, the factors related to teachers, students, and school physical conditions were identified as the most critical success factors. The BSC model was employed in four high schools, yielding performance scores of 81.12 and 92.52, 67.89, 77.58, respectively. With its unique methodological approach integrating three analytical techniques, this study highlights the critical role of teacher experience, student quality, and appealing physical conditions in school success. It offers school administrators a scientifically grounded, practical performance evaluation tool. This study is significant as it establishes a foundation for monitoring large-scale investment performance in schools, encompassing Environmental, Social, and Governance (ESG) dimensions, and providing a basis for sustainability initiatives within educational institutions. Full article

Urban regeneration projects have been part of urban planning in different cities to recover strategic areas and combat new land consumption. Often, Public-Private Partnerships (PPPs) agreements are signed to meet the demands of these projects. In the Brazilian context, the general PPP law classifies concessions into two types: sponsored concessions or administrative concessions. Urban regeneration projects in the Brazilian context can be carried out through different policies and instruments, such as those in the City Statute. Despite this, there are several obstacles in how these practices are developed, which require greater attention to the enabling environment and the Critical Success Factors (CSFs) that can improve the performance of these public procurement practices. Based on this, this study aims to analyze the Brazilian context of PPP arrangements in urban regeneration projects and the specific case of the “Porto Maravilha” in Rio de Janeiro. To this scope, the study adopts a previously established CSF framework. The data analyzed are derived from secondary sources obtained through documentation collection and primary sources obtained through interviews. Regarding the PPP process, the results indicate financial and execution problems. Concerning the project, which remains unfinished, the results point to a transformation of the port area, but with significant social impacts. Full article

This study investigates the role of subcontracting partnerships in enhancing collaboration and sustainability in urban rail transit system design, addressing the challenges posed by fragmented practices and environmental goals under China’s “Dual Carbon” policy. Using a mixed-methods approach, we integrate structural equation modeling (SEM) and factor analysis to identify critical success factors (CSFs) and their impacts on design performance. SEM, a statistical technique capable of analyzing complex relationships between unobservable “latent variables” (e.g., trust, innovation) and measurable outcomes, was employed to validate the hypothesized relationships among five key factors: Excellence in Quality, Interactive Collaboration, Collaborative Vision, Risk Strategy, and Strategic Innovation. Factor analysis consolidated 19 CSFs from the literature into these five constructs, explaining 69.09% of the variance. The SEM results revealed that Excellence in Quality, Interactive Collaboration, Risk Strategy, and Strategic Innovation directly improve design performance, while Collaborative Vision indirectly influences outcomes through mediating effects on risk management and innovation. These findings provide actionable strategies for leveraging BIM/blockchain tools and institutional frameworks to enhance sustainability in urban transportation projects. By contextualizing partnership dynamics within China’s state-led infrastructure ecosystem, this research enriches the theoretical understanding of partnership mechanisms. Full article

Supplier selection in the medical device manufacturing (MDM) industry significantly affects quality, operational efficiency, and overall organizational performance. Due to the industry’s dependence on advanced technologies and rigorous regulatory standards, identifying critical success factors (CSF) for selecting suppliers is essential. This study aims to analyze relationships among critical success factors (CSF) influencing supplier selection and their influence on supplier quality and the performance outcomes of MDM companies. A structured survey was conducted among MDM companies in Mexico, and the collected data were analyzed through exploratory and confirmatory factor analysis. Structural equation modeling (SEM) was used to quantify the relationships identified. Results indicate that information technology, reliable delivery, Industry 4.0 adoption, resilience, and environmental and social responsibility positively influence supplier quality, which subsequently enhances MDM firm performance. Supplier quality emerges as a critical mediator between supplier selection factors and company performance. Findings emphasize that prioritizing supplier quality, reinforced through Industry 4.0 technologies and resilient practices, ensures operational continuity, enhances competitive advantage, and supports sustainability. Companies incorporating these critical success factors into their supplier selection processes are better equipped to manage supply disruptions, achieve consistent quality, and sustain performance in highly regulated environments. Full article

The rising energy demands of data centers combined with increasing sustainability requirements require the integration of green energy solutions. This study identifies and analyzes the Critical Success Factors (CSFs) that affect the effective adoption of green energy in data centers, addressing both technical and organizational challenges. Through a systematic literature review and expert validation, eleven key CSFs were identified, encompassing aspects such as energy efficiency, renewable energy integration, carbon neutrality strategies, regulatory compliance, and investment strategies. This study employs the Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology to explore the interdependencies among these factors, mapping causal relationships within the CSF network. The findings indicate that governance and organizational culture, along with investment strategy, are the most influential CSFs, driving the effectiveness of energy transition efforts. Carbon neutrality strategies serve as a crucial mediating factor, linking governance and financial commitment to operational sustainability outcomes. Additionally, renewable energy integration and regulatory compliance act as structural mediators, ensuring that governance-led sustainability initiatives result in practical, measurable impacts. These insights provide a strategic roadmap for data center operators, policymakers, and industry stakeholders to prioritize interventions that promote a resilient and sustainable energy transition. By clarifying the cause-and-effect dynamics within the green energy adoption framework, this study contributes to the development of more effective policies and investment strategies aimed at reducing the carbon footprint of data centers and enhancing their long-term sustainability. Full article

In recent years, Digital Participatory Platforms (DPPs) have become an increasingly popular tool for citizen participation in community planning processes. They serve municipalities, citizen initiatives, and other planning authorities as digital tools to collect feedback, discuss ideas, solve problems and monitor small-scale planning processes within their communities. In addition, DPPs facilitate the integration of the spatial domain into participatory community planning. In this paper, we assess the most important Critical Success Factors (CSFs) of participatory community planning with geospatial DPPs, and analyze the potential, opportunities, and challenges associated with integrating these platforms into community planning. We analyze the results of a digital questionnaire that we shared with a selected group of expert scholars and community stakeholders. We then contextualize this feedback with our experiences from the piloting phase and commercial roll-out of the ‘Bürgercockpit’-application for participatory community planning within the Austrian Agenda21-framework. As a result, we identify the most important CSFs of participatory community planning with geospatial DPPs. This set of CSFs should provide a better orientation on how to complement well-established analog participatory methods and practices with geospatial DPPs for the co-production of shared visions and solutions, ultimately empowering all stakeholders of a planning process to better manage their communities. Full article

With the development of the smart logistics industry, the demand for intelligent loading and unloading (ILU) within urban supply chains (USCs) is increasing. However, few studies have examined the critical success factors (CSFs) for enhancing ILU in USCs. This study establishes a CSF model to support ILU improvement. Specifically, it integrates stakeholder theory, resource-based view theory, and innovation diffusion theory. Through research conducted in collaboration with 16 logistics industry specialists in Korea, 19 critical factors were identified. Fuzzy DEMATEL and the Adversarial Interpretive Structure Model (AISM) were then applied to analyze the identified factors. The results indicate that stakeholder collaboration, government support, and regulatory compliance are the most important factors affecting ILU improvement within USCs. Finally, cross-impact matrix multiplication applied to classification (MICMAC) analysis further verifies that these factors have a high driving power and low dependence, making them independent driving factors of the entire system. Furthermore, this study emphasizes the role of market research and automated system design. This work contributes to the knowledge on the intelligent logistics management of supply chains. Full article

One of Indonesia’s sustainability targets is achieving full energy transitions and net zero emissions by 2060 or sooner. Thus, significant strides and massive investments are being made to revolutionise the development and delivery of infrastructure projects, particularly in the energy sector. The State Electricity Company is driving these advances, targeting a surge in renewable energy usage to 23% by 2025 and 31% by 2050. Despite these efforts, progress remains critically low, highlighting the urgent need for more effective strategies and execution. A comprehensive understanding of the critical success factors (CSFs) and barriers—and how they influence these projects—is essential to ensuring their successful delivery. This study aims to identify and model the influences of various CSFs and barriers to renewable energy projects’ success in Indonesia. Using a questionnaire survey with 182 respondents, this study explored the critical success factors, key challenges, and applicable strategies. The data were analysed using exploratory factor analysis and structural equation modelling. The analysis revealed four critical success factors, including stakeholders’ collaboration and project supervision, and 10 key challenges, including insufficient planning, poor stakeholder communication, and unrealistic cost and time estimation. The strategies involved a cross-functional framework for effective collaboration, early consultation for integrating collaboration and supervision, and frequent reporting for enhanced supervision. These strategies are crucial to addressing emerging challenges in renewable energy projects and achieving sustainable development goals in Indonesia. Full article

In the context of managing museums, historical, artistic, and archaeological heritage, an advanced decision support system (DSS) can serve as the engine for a business game platform, optimizing decision paths and management strategies. In complex, multi-parameter scenarios, the final decision is often only part of the process; it is equally essential to follow the decision-making path, that is, the sequence of actions necessary to reach the objective. The DSS presented here simplifies the problem by transforming the initial n-dimensional space, defined by the critical success factors (CSFs) selected by experts, into a two-dimensional space. Indeed, thanks to this approach, the computational complexity is reduced to the point that the technological solution can be used even on standard desktop computers and not only on high-performance computing systems. Moreover, the user does not necessarily need to be an IT expert but rather a specialist in the cultural domain. Through grid-based motion algorithms and a hierarchy of CSF priorities, the system quickly identifies optimal solutions in the 2D plane and then maps them back to the n-dimensional space to maintain consistency with the original context. Since the correspondence between n-dimensional micro-states and two-dimensional macro-states is not one-to-one, the DSS returns the specific micro-state of interest from the optimal macro-state, selecting the most effective path. This research aims to develop algorithms that by minimizing entropy and optimizing the system’s dynamics, build optimal paths in the 2D plane, with algorithms capable of restoring the solution in the initial space. Several use cases in the form of business games have been conducted, demonstrating the value of the proposed solution. The result of this work is a simulation environment useful for museum experts to analyze the impact of their management strategies. Thanks to the ability to assign weights to each of the critical success factors (CSFs), the system can display both qualitative and quantitative simulations of museum dynamics as the weights associated with different CSFs vary. Given the system’s generality, it is applicable to various fields where complex business games are required, such as cultural heritage management, logistics, transportation, healthcare systems, and, more broadly, any context where strategic business analysis is needed for the economic enhancement of resources and their optimization. Full article

Urban regeneration projects have been used in urban planning in different cities to recover strategic areas and combat new land consumption. Often, Public–Private Partnership (PPP) agreements are signed to meet the demands of these projects. In the Italian case, PPP arrangements can be one of three types, namely, contractual, institutionalized, and negotiable. Urban regeneration, in the Italian context, aims to increase the value of the existing infrastructure. Despite this, there are several obstacles to how these practices are developed, which demand more attention to be paid to the enabling environment and the Critical Success Factors (CSFs) that can improve the performance of these practices. Based on this, this study aims to analyze the Italian context of PPP arrangements in urban regeneration projects and the specific case of the Livorno “Porta a Mare”. To this end, the study adopts a previously established CSFs framework. The data analyzed are derived from secondary sources obtained through documentary collection and primary sources obtained through interviews. Regarding the PPP process, the results indicate the commitment of the public and private sectors, despite limitations in the selection process and the lack of public participation. Concerning urban regeneration, although not yet completed, the project allocates a significant area of waterfront to urban use. Full article