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Digital sustainability as an emerging paradigm: Insights from the Saudi Arabian experience and global implications 数字可持续性作为一种新兴范例:来自沙特阿拉伯经验和全球影响的见解
Q1 Economics, Econometrics and Finance Pub Date : 2026-01-28 DOI: 10.1016/j.joitmc.2026.100731
M. Imran Khan , Tabassam Yasmeen , Noor Ul Hadi , Muhammad Asif , Muhammad Farooq , Tonni Agustiono Kurniawan , Mushtaq Khan , Sami G. Al-Ghamdi
The rapid acceleration of digital transformation in the 21st century presents a dual-edged sword for global sustainability efforts. While digital technologies can significantly advance progress toward the United Nations Sustainable Development Goals (UN SDGs), their unchecked proliferation can also exacerbate environmental degradation, social inequities, and governance issues. This study, examines how a nation can strategically align digital transformation with sustainability objectives through the lens of Saudi Arabia’s ambitious Vision 2030, thereby offering a model for other countries navigating similar transitions. Employing a structured narrative synthesis of peer-reviewed research, policy frameworks, official statistics, and institutional reporting, this review evaluates Saudi Arabia’s five-pillar approach: technological resilience, environmental stewardship, social inclusivity, economic diversification, and regulatory agility. Saudi Arabia’s initiatives, such as NEOM, a $500 billion futuristic city powered entirely by renewable energy, exemplify the integration of digital innovation with sustainable urban design, aiming to decouple economic growth from environmental degradation. Key findings reveal transformative initiatives, such as renewable-powered hyperscale data centers, AI-driven precision agriculture reducing water use by 50 %, and inclusive platforms bridging healthcare and education gaps for marginalized communities. These efforts have positioned Saudi Arabia as a regional digital sustainability leader, with its digital economy contributing 15.6 % to GDP and women’s workforce participation in Information and Communication Technology (ICT) tripling since 2018. However, the Kingdom’s experience also underscores systemic barriers, including regulatory fragmentation, legacy infrastructure, and cultural resistance that must be addressed to ensure long-term environmental, social, and economic benefits. The study advocates for a paradigm shift toward digital sustainability, wherein technological innovation is measured not only by efficiency gains but by its capacity to regenerate ecosystems and empower societies. Achieving this shift requires a holistic approach that integrates sustainability principles into every facet of digital strategy, from ethical design and data governance to workforce development and collaborative policymaking. By situating Saudi Arabia’s journey in a comparative global context, this study contributes to the theoretical foundations of digital sustainability and provides actionable insights for policymakers, practitioners, and scholars aiming to harness digital transformation as a force for sustainable development.
21世纪数字化转型的快速加速对全球可持续发展工作来说是一把双刃剑。虽然数字技术可以显著推动实现联合国可持续发展目标(UN sdg),但其不受控制的扩散也会加剧环境恶化、社会不平等和治理问题。本研究通过沙特阿拉伯雄心勃勃的2030年愿景,探讨了一个国家如何在战略上将数字化转型与可持续发展目标结合起来,从而为其他国家进行类似转型提供了一个模式。通过对同行评议研究、政策框架、官方统计数据和机构报告的结构化叙事综合,本报告评估了沙特阿拉伯的五大支柱方法:技术弹性、环境管理、社会包容性、经济多样化和监管灵活性。沙特阿拉伯的倡议,如耗资5000亿美元、完全由可再生能源驱动的未来城市NEOM,体现了数字创新与可持续城市设计的结合,旨在将经济增长与环境退化脱钩。主要研究结果揭示了变革性举措,如可再生能源超大规模数据中心、人工智能驱动的精准农业将用水量减少50% %,以及为边缘化社区弥合医疗和教育差距的包容性平台。这些努力使沙特阿拉伯成为区域数字可持续发展的领导者,其数字经济对国内生产总值的贡献率为15.6% %,自2018年以来,女性劳动力参与信息通信技术(ICT)的比例增加了两倍。然而,沙特王国的经验也强调了系统性障碍,包括监管分散、遗留基础设施和文化阻力,必须解决这些障碍,以确保长期的环境、社会和经济效益。该研究倡导向数字可持续性转变模式,其中技术创新不仅要通过效率提高来衡量,还要通过其再生生态系统和赋予社会权力的能力来衡量。实现这一转变需要一种全面的方法,将可持续性原则整合到数字战略的各个方面,从道德设计和数据治理到劳动力发展和协作决策。通过将沙特阿拉伯的发展历程置于全球比较背景下,本研究为数字可持续性的理论基础做出了贡献,并为旨在利用数字转型作为可持续发展力量的政策制定者、从业者和学者提供了可行的见解。
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引用次数: 0
Responsible AI for perceived improvement in efficiency: The mediating roles of mindfulness and emotion regulation 负责任的人工智能对效率的感知改善:正念和情绪调节的中介作用
Q1 Economics, Econometrics and Finance Pub Date : 2026-01-27 DOI: 10.1016/j.joitmc.2026.100732
Amit Kumar , P.S. Varsha , Mahesh Joshi , Georges Samara , Arun Narayanasamy , Saneesh Edacherian

Purpose

There is little information about how healthcare professionals' psychological aspects, such as mindfulness and emotion regulation, affect the adoption and effectiveness of artificial intelligence (AI) systems in healthcare. To address this gap, this study investigates whether responsible AI (RAI) can be associated to perceived improvements in efficiency (PIE) in the UAE healthcare system and whether this influence is mediated by mindfulness and adaptive emotion regulation (ER).

Design/methodology/approach

Drawing from anthropomorphism and commitment–consistency theory, a conceptual model of how RAI and psychological factors impact PIE was built and validated. Partial least squares-structural equation modeling was adopted for multiple linear regression analysis of survey data collected from 300 healthcare professionals in the UAE.

Findings

Direct, positive relationships are observed between RAI, mindfulness, and PIE. Additionally, adaptive emotion regulation mediates the relationships of RAI with PIE and mindfulness. Furthermore, compared to ER, mindfulness is a far more powerful mediator.

Practical implications

The findings suggest that managers should develop strategies that create a conducive environment for both technological and human resource development. Additionally, management should promote ongoing professional development that integrates AI tools with soft skills training to enhance healthcare professionals' emotional resilience and adaptability.

Originality/value

This article is one of the early studies offering empirical insights on the intersection of RAI, psychological aspects of healthcare professionals, and perceived improvement in efficiency. The research contributes to the emerging intersection of technological advancement with psychological wellness. Moreover, the dual-theory approach is novel and relevant in AI technology and organizational outcome research.
目的关于医疗保健专业人员的心理方面,如正念和情绪调节,如何影响人工智能(AI)系统在医疗保健中的采用和有效性的信息很少。为了解决这一差距,本研究调查了负责任的人工智能(RAI)是否与阿联酋医疗保健系统中效率的感知改善(PIE)有关,以及这种影响是否由正念和适应性情绪调节(ER)介导。设计/方法/方法从拟人论和承诺一致性理论出发,建立并验证了RAI和心理因素如何影响PIE的概念模型。采用偏最小二乘-结构方程模型对阿联酋300名医疗保健专业人员收集的调查数据进行多元线性回归分析。研究结果:在RAI、正念和PIE之间观察到直接的正相关关系。此外,适应性情绪调节调节了RAI与PIE和正念的关系。此外,与ER相比,正念是一个更强大的中介。实际意义研究结果表明,管理者应该制定战略,为技术和人力资源的发展创造有利的环境。此外,管理层应促进持续的专业发展,将人工智能工具与软技能培训相结合,以增强医疗保健专业人员的情绪弹性和适应性。原创性/价值这篇文章是早期的研究之一,提供了关于RAI、医疗保健专业人员的心理方面和效率的感知改进的交叉点的实证见解。这项研究促进了技术进步与心理健康之间的交叉。此外,双理论方法在人工智能技术和组织成果研究中是新颖的和相关的。
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引用次数: 0
Assessment of the implementation of design out construction waste strategies in the UAE: Exploring challenges, solutions, opportunities, and emerging AI trends 评估阿联酋建筑垃圾设计战略的实施情况:探索挑战、解决方案、机遇和新兴的人工智能趋势
Q1 Economics, Econometrics and Finance Pub Date : 2026-01-26 DOI: 10.1016/j.joitmc.2026.100730
Mahmoud Mawed , Karima Hamani , Ghanim Kashwani , Mahmoud Skafi
One of the fastest growing construction sectors in the region is UAE and its sustainable development faces waste reduction at building design stage. Grounded on the case study of the UAE, looking at design-out-waste strategies, this research employs a qualitative methodology, based on 14 semi-structured interviews with professionals from the field of construction. The results show that the main causes of waste during design stage are found to be complex projects, harsh climate, logistics deficiencies and low usage of advanced technology. The most recent strategies include adherence to green building regulations, use of passive design techniques, and better resource management. Emerging technologies, including Building Information Modelling (BIM) and Artificial Intelligence (AI), offer the potential to predict and mitigate design waste; however, their use is still limited. This problem may be attributed to insufficient knowledge, high costs, and the propensity to avoid change. One of the most important conclusions of the study is that the bolstering of stakeholder collaboration and governance frameworks is necessary to make the adoption of sustainable design practices in the construction industry of the United Arab Emirates (UAE) a reality. The main contribution of this research is the evidence-based identification of several waste drivers within the design phase, as well as the construction of viable, technologically supported frameworks to promote sustainable construction approaches. In summary, the results of the research indicate that waste within the design phase can be minimized, and the practice of sustainable construction in the UAE can be advanced through the proactive incorporation of digital technologies and engaged collaboration among stakeholders.
阿联酋是该地区增长最快的建筑行业之一,其可持续发展面临着在建筑设计阶段减少浪费的问题。本研究以阿联酋的案例研究为基础,着眼于设计废物策略,采用定性方法,基于对建筑领域专业人士的14次半结构化访谈。结果表明,造成设计阶段浪费的主要原因是工程复杂、气候恶劣、物流不足和先进技术利用率低。最新的策略包括遵守绿色建筑法规,使用被动式设计技术,以及更好的资源管理。新兴技术,包括建筑信息模型(BIM)和人工智能(AI),提供了预测和减少设计浪费的潜力;然而,它们的使用仍然有限。这个问题可能是由于知识不足,成本高,以及倾向于避免改变。该研究最重要的结论之一是,加强利益相关者的合作和治理框架对于在阿拉伯联合酋长国(UAE)的建筑行业采用可持续设计实践是必要的。这项研究的主要贡献是在设计阶段以证据为基础确定几个浪费驱动因素,以及构建可行的、技术支持的框架,以促进可持续的建筑方法。总而言之,研究结果表明,设计阶段的浪费可以最小化,阿联酋的可持续建筑实践可以通过积极结合数字技术和利益相关者之间的合作来推进。
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引用次数: 0
AI-driven analysis of ESG-linked financial determinants for sustainable growth in Thailand: A hybrid SEM framework 人工智能驱动的泰国可持续增长esg相关金融决定因素分析:混合SEM框架
Q1 Economics, Econometrics and Finance Pub Date : 2026-01-23 DOI: 10.1016/j.joitmc.2026.100729
Valida Phalalum, Kalyaporn Panmarerng
This study examines sustainable growth among Thai listed firms using an AI-enhanced Structural Equation Modeling (AI-SEM) framework that integrates financial and ESG perspectives within contingency theory and stakeholder value maximization. The framework extends conventional SEM by incorporating anomaly detection, feature selection, and dimensionality reduction prior to estimation, followed by post-SEM time-series interpretability analysis to address multicollinearity, data noise, and firm-level heterogeneity. Using panel data from 147 firms listed on the Stock Exchange of Thailand during 2018–2022, fourteen hypotheses are tested across five financial and governance constructs: performance, internal control, economic profit, dividend policy, and market value added, with sustainable growth proxied by ESG outcomes. The results indicate that performance and internal control are key drivers of sustainable growth, both directly and indirectly through market value added. In contrast, economic profit exhibits a negative association with sustainability outcomes, while dividend policy is insignificant, reflecting Thailand’s cyclical dividend behaviour. These findings underscore the context-dependent nature of sustainable growth and reinforce contingency theory by demonstrating how firm characteristics and market conditions jointly shape financial sustainability. The study further shows that integrating AI-enabled analytics into ESG–finance evaluation enhances decision precision and organisational adaptability, offering actionable insights for policymakers and regulators seeking to align data-driven financial strategies with long-term sustainability objectives and advance Sustainable Development Goals 8 and 9.
本研究使用人工智能增强的结构方程模型(AI-SEM)框架考察了泰国上市公司的可持续增长,该框架将财务和ESG视角整合到权变理论和利益相关者价值最大化中。该框架通过结合异常检测、特征选择和预估前的降维来扩展传统的SEM,然后进行SEM后时间序列可解释性分析,以解决多重共线性、数据噪声和企业层面的异质性。利用2018-2022年泰国证券交易所147家上市公司的面板数据,对五个财务和治理结构的14个假设进行了检验:绩效、内部控制、经济利润、股息政策和市场附加值,并以ESG结果为代表的可持续增长。结果表明,绩效和内部控制是可持续增长的关键驱动力,直接或间接地通过市场增加价值。相比之下,经济利润与可持续性结果呈负相关,而股息政策不显著,反映了泰国的周期性股息行为。这些发现强调了可持续增长的环境依赖性质,并通过展示企业特征和市场条件如何共同塑造财务可持续性来强化权变理论。该研究进一步表明,将人工智能分析整合到esg金融评估中可以提高决策精度和组织适应性,为寻求将数据驱动的金融战略与长期可持续性目标相结合并推进可持续发展目标8和9的政策制定者和监管机构提供可操作的见解。
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引用次数: 0
Circular economy practices as a mediator between reverse logistics, product value recovery, and sustainable industries 循环经济实践在逆向物流、产品价值回收和可持续产业之间的中介作用
Q1 Economics, Econometrics and Finance Pub Date : 2026-01-21 DOI: 10.1016/j.joitmc.2026.100726
Songtham Charoenchan , Natpatsaya Setthachotsombut , Mohd Rizaimy Shaharudin , Gritsada Sua-iam
This study aimed to investigate the implementation practices of reverse logistics, product value recovery, and circular economy practices, as well as to examine their influence on the development of a sustainable industry. With a quantitative research design, the population included 23,400 food and beverage companies in Thailand that were registered with the Department of Business Development (DBD) in 2022 and had over 100,000 employees. This study examined 400 sample questionnaires using Pearson's Correlation Coefficient, Confirmatory Factor Analysis, Structural Equation Modelling, and Path Analysis. This study found that the most considerable reverse logistics (RL) practice was used product acquisition (UA) through sustainable sourcing, that is, purchasing raw materials from an organic and environmentally responsible producer who preserves and conserves natural resources through sustainable and equitable labour practices. Moreover, the value recovery of used products (VR) contributed significantly to the practices of the circular economy (CEP) that resulted in sustainable industry (SI). Value recovery actions such as the recycling and repackaging of used plastics, bottles, and cans from the food and beverage industry not only provided cost and waste reduction, but also enabled the principles of the circular economy and reduced the exploitation of natural resources. These findings indicate that closed-loop recycling and resource-optimised technologies should be prioritised for sustainable sourcing since they promote the three pillars of sustainability in the food and beverage sector.
本研究旨在探讨逆向物流、产品价值回收和循环经济的实施实践,以及它们对可持续产业发展的影响。通过定量研究设计,人口包括在泰国商业发展部(DBD)于2022年注册的23400家食品和饮料公司,员工人数超过10万。本研究采用Pearson相关系数法、验证性因子分析法、结构方程模型及通径分析法对400份样本问卷进行检验。本研究发现,最重要的逆向物流(RL)实践是通过可持续采购使用产品获取(UA),即从有机和对环境负责的生产者那里购买原材料,这些生产者通过可持续和公平的劳动实践保护和保护自然资源。此外,废旧产品的价值回收(VR)对循环经济(CEP)的实践做出了重大贡献,从而形成了可持续的工业(SI)。价值回收行动,如从食品和饮料行业回收和重新包装废旧塑料、瓶子和罐头,不仅提供了成本和废物的减少,而且实现了循环经济的原则,减少了自然资源的开采。这些发现表明,闭环回收和资源优化技术应该优先考虑可持续采购,因为它们促进了食品和饮料行业可持续发展的三大支柱。
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引用次数: 0
Decision support framework for assessing smart supply chain barriers in the context of I4.0: Implications for sustainability 工业4.0背景下评估智能供应链障碍的决策支持框架:对可持续性的影响
Q1 Economics, Econometrics and Finance Pub Date : 2026-01-20 DOI: 10.1016/j.joitmc.2026.100728
Tanvir Ahamed Diraz , Md. Mohiuzzaman Mollah , Kazi Md. Tanvir Anzum
In recent years, it has been observed that sustainable Smart Supply Chain Management (SSCM) is a critical organizational practice in ensuring profitability through mitigation of environmental as well as social risk. Up to this point, there is scant research available on the existence of barriers to the adoption of sustainable SSCM practices. The paper in question will discuss the barriers to the implementation of sustainable SSCM in emerging economies like Bangladesh. A three-stage methodological technique was used in conducting the study. The initial phase involved the literature review and interviewing an expert panel of professionals, which led to the development of a list of 26 key barriers to SSCM adoption. These barriers were further categorized into six large clusters which included, economic, social, environmental, integrity, availability and adaptability barriers. The second phase was to evaluate barriers by their relative weight with the Best-Worst Method (BWM) and the strength of it was determined with the help of sensitivity studies. Interpretive Structural Modeling (ISM) was the third level offering a contextual relationship between barriers and making a hierarchical model. The results of the present research indicate that the most significant ones are Economic clusters and Integrity clusters. The additional breakdown showed that one of the major hindrances to effective SSCM implementation was the absence of advanced analytics, physical infrastructure, initial investment, and governmental support. According to the ISM analysis, there were five major barriers that were highly driving factors among other factors considered: Lack of advanced analytics; lack of integrated vision of system realization and value; lack of physical infrastructure; lack of governmental support and high initial investment. The implication of this hybrid solution is that the industry experts, decision-makers, and policymakers will be able to formulate effective action plans to break these major barriers to achieve successful implementation of sustainable smart supply chain practices in the I4.0 (I4.0) environment in addition to guaranteeing the sustainable future of the next generation.
近年来,人们观察到,可持续智能供应链管理(SSCM)是通过减轻环境和社会风险来确保盈利能力的关键组织实践。到目前为止,关于采用可持续的SSCM实践存在障碍的研究很少。本文将讨论在孟加拉国等新兴经济体实施可持续SSCM的障碍。本研究采用了三阶段方法学技术。初始阶段包括文献回顾和对专家小组的采访,这导致了采用SSCM的26个主要障碍的列表的发展。这些障碍进一步分为六大类,包括经济、社会、环境、完整性、可用性和适应性障碍。第二阶段采用最佳-最差法(Best-Worst Method, BWM)对屏障的相对权重进行评价,并借助敏感性研究确定屏障的强度。解释结构建模(ISM)是第三个层次,提供障碍之间的上下文关系,并建立层次模型。本文的研究结果表明,经济集群和诚信集群是最显著的集群。额外的分析表明,有效实施SSCM的主要障碍之一是缺乏高级分析、物理基础设施、初始投资和政府支持。根据ISM的分析,在考虑的其他因素中,有五大主要障碍是高度驱动因素:缺乏高级分析;缺乏系统实现与价值的一体化视野;缺乏有形基础设施;缺乏政府支持,初始投资高。这种混合解决方案的含义是,行业专家、决策者和政策制定者将能够制定有效的行动计划,以打破这些主要障碍,在工业4.0 (I4.0)环境中成功实施可持续的智能供应链实践,并保证下一代的可持续未来。
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引用次数: 0
Co-creation in cultural industries: Developing art toys for youth tourism through theoretical integration 文化产业的共同创造:通过理论整合开发青少年旅游艺术玩具
Q1 Economics, Econometrics and Finance Pub Date : 2026-01-20 DOI: 10.1016/j.joitmc.2026.100727
Kittichai Kasemsarn , Farnaz Nickpour
This research addresses two key challenges in cultural tourism. First, youths aged 18–25 show limited interest in cultural tourism due to outdated presentation methods and cultural products. Second, there is insufficient understanding of how to create culturally authentic products for youths while maintaining sustainable business models. The study aims to understand youth tourist preferences and develop a co-creation framework for designing art toys that promote cultural tourism. A mixed-methods approach was used, combining questionnaires completed by 400 youths in Bangkok with co-design workshops involving 11 professionals from marketing and design teams. The findings show that 31 % of the youths prioritized the cuteness of art toys. Participants expressed a preference for art toys that reflect Thai identity without an old-fashioned style (Mean = 3.81/5) and reported high interest in cultural tourism (Mean = 4.01/5). Workshop outcomes emphasized simplifying patterns, using nostalgia marketing, and creating location-exclusive cultural art toys. The study proposes the Youth-Centered Art Toy Framework for Cultural Tourism, which demonstrates how co-creation can transform cultural industries through stakeholder collaboration. The framework contributes to existing knowledge by providing empirical data to support cultural preservation within business model development and by demonstrating how the integration of four theories can generate sustainable revenue streams.
本研究解决了文化旅游中的两个关键挑战。首先,18-25岁的年轻人对文化旅游的兴趣有限,因为他们的展示方式和文化产品已经过时。其次,对于如何在维持可持续的商业模式的同时,为年轻人创造具有文化真实性的产品,认识不足。本研究旨在了解青少年旅游偏好,并建立促进文化旅游的艺术玩具设计共同创作框架。采用混合方法,将400名曼谷青年完成的问卷与11名来自营销和设计团队的专业人士参与的共同设计研讨会相结合。调查结果显示,31% %的年轻人优先考虑艺术玩具的可爱性。参与者表示更喜欢反映泰国身份而不是老式风格的艺术玩具(平均值= 3.81/5),并对文化旅游非常感兴趣(平均值= 4.01/5)。工作坊的成果强调简化模式、使用怀旧营销和创造专属于特定地点的文化艺术玩具。本研究提出了以青少年为中心的文化旅游艺术玩具框架,展示了共同创作如何通过利益相关者的合作来改变文化产业。该框架通过提供经验数据来支持商业模式开发中的文化保护,并通过展示四种理论的整合如何产生可持续的收入流,从而为现有知识做出贡献。
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引用次数: 0
Productivity optimization through the implementation of schedule and cost management based on the PMBOK Guide - case study shipyard - chimbote 2024 通过实施基于PMBOK指南的进度和成本管理来优化生产力-案例研究船厂- chimbote 2024
Q1 Economics, Econometrics and Finance Pub Date : 2026-01-16 DOI: 10.1016/j.joitmc.2026.100724
Christian Pulido-Ramirez, Orlando Iparraguirre-Villanueva
In an industry as competitive as ship repair, it is essential to outperform other shipyards. For a shipyard to be competitive and profitable, its management must continuously monitor and improve productivity, meet deadlines, and reduce costs. However, traditional project planning methods can cause productivity problems. The study evaluated the impact of the adaptive implementation of Time Management and Cost Management processes on productivity at a shipyard located in the city of Chimbote, Peru, focusing on meeting deadlines, budget accuracy, and reducing rework. An applied methodology, quantitative approach, deductive method, and pre-experimental design were used. The sample in this research consisted of 52 production area employees directly involved in fishing vessel activities before and after implementation under the Process Group: A Practical Guide from the Project Management Institute (PMI). The results showed an increase in effectiveness from 55.0 % to 93.02 %, with a significant increase of 38.02 % in the ratio between planned time and actual time TP/TR, and in efficiency from 67.38 % to 95.79 %, with a 28.41 % improvement in the ratio between estimated cost and actual cost CE/CR. Therefore, these pre- and post-test findings show a 52.05 % improvement in optimal productivity. In conclusion, the implementation of the applied guide based on schedule and cost management significantly improved the shipyard's productivity by reducing delays and minimizing cost overruns, demonstrating its applicability in a poorly documented Latin American context.
在像船舶修理这样竞争激烈的行业中,超越其他造船厂是至关重要的。对于一个有竞争力和盈利的造船厂来说,它的管理必须不断地监控和提高生产力,满足最后期限,并降低成本。然而,传统的项目规划方法可能会导致生产力问题。该研究评估了时间管理和成本管理流程的适应性实施对秘鲁钦博特市一家造船厂生产力的影响,重点是满足最后期限、预算准确性和减少返工。采用应用方法、定量方法、演绎法和实验前设计。本研究的样本包括52名直接参与渔船活动的生产区员工,在实施过程组:项目管理协会(PMI)的实用指南之前和之后。结果表明,效能从55.0 %提高到93.02 %,计划时间与实际时间TP/TR之比显著提高38.02 %,效率从67.38 %提高到95.79 %,估算成本与实际成本CE/CR之比提高28.41 %。因此,这些测试前和测试后的结果表明,最优生产率提高了52.05 %。总之,基于进度和成本管理的应用指南的实施,通过减少延误和最小化成本超支,显着提高了造船厂的生产率,证明了其在缺乏文件记录的拉丁美洲环境中的适用性。
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引用次数: 0
Upscaling of the renewable hydrogen economy: A study on complex adaptive systems 可再生氢经济的规模化:复杂适应系统研究
Q1 Economics, Econometrics and Finance Pub Date : 2026-01-16 DOI: 10.1016/j.joitmc.2026.100725
Sami Pohto, Pekka Tervonen, Harri Haapasalo
The renewable hydrogen economy is one of the potential solutions in the green transition by reducing the impact of carbon dioxide on society and planetary well-being, particularly in hard-to-abate sectors. This qualitative study examined the upscaling of the hydrogen economy through the lens of complex adaptive systems (CAS) to enhance stakeholder adaptability. The literature review identified central organising concepts that served as a framework for analysing empirical data. The central organising concept was adopted from the reflexive thematic analysis (RTA) method to support the analysis of empirical data. This paper proposes five distinct yet interconnected themes based on these central organising concepts. The findings aim to reveal the potential of a complex adaptive systems approach in the explorative context of the hydrogen economy and suggest directions for future research.
可再生氢经济是绿色转型的潜在解决方案之一,它可以减少二氧化碳对社会和地球福祉的影响,特别是在难以减少的行业。本定性研究通过复杂适应系统(CAS)的视角考察了氢经济的升级,以增强利益相关者的适应性。文献综述确定了作为分析经验数据框架的中心组织概念。采用反身性主题分析(RTA)方法中的中心组织概念来支持实证数据的分析。本文提出了基于这些中心组织概念的五个不同但相互关联的主题。研究结果旨在揭示复杂适应系统方法在氢经济探索背景下的潜力,并为未来的研究提出方向。
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引用次数: 0
Positive and negative narratives in the service of digital currencies as disruptive innovation 将数字货币服务为颠覆性创新的正面和负面叙述
Q1 Economics, Econometrics and Finance Pub Date : 2026-01-15 DOI: 10.1016/j.joitmc.2026.100723
Anita Peša , Sonja Brlečić Valčić , Zoran Bubaš
This research investigates the competing narratives surrounding decentralized cryptocurrencies, like Bitcoin, and state-backed Central Bank Digital Currencies (CBDCs). The primary contribution of this work is a conceptual model of these narratives, categorizing them into targeted positive and negative frames aligned with opposing goals of financial regulation versus deregulation. To empirically ground this model, a sentiment analysis of selected documents from news media and social media platforms was conducted for a pilot study to test the conceptual model and the sentiment analysis methodology. The analysis reveals a significantly more positive sentiment associated with CBDCs compared to Bitcoin. This finding suggests that narratives emphasizing stability, security, and state backing currently have greater traction in the analyzed media discourse. The paper concludes by discussing the implications of this narrative contest for the future adoption and regulation of digital currencies, highlighting the power of storytelling in the success of financial innovations.
这项研究调查了围绕去中心化加密货币(如比特币)和国家支持的中央银行数字货币(cbdc)的竞争叙述。这项工作的主要贡献是这些叙述的概念模型,将它们分类为有针对性的积极和消极框架,与金融监管与放松管制的对立目标保持一致。为了从经验上建立这个模型,我们对新闻媒体和社交媒体平台上选定的文件进行了情感分析,作为一项试点研究,以测试概念模型和情感分析方法。分析显示,与比特币相比,与cbdc相关的情绪要积极得多。这一发现表明,在所分析的媒体话语中,强调稳定、安全和国家支持的叙事目前具有更大的吸引力。本文最后讨论了这种叙事竞赛对未来数字货币采用和监管的影响,强调了叙事在金融创新成功中的力量。
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Journal of Open Innovation: Technology, Market, and Complexity
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