Digital Business最新文献_第4页

Innovating the experience economy: How novel technologies transform customer experiences 创新体验经济：新技术如何改变客户体验

Digital Business

Pub Date : 2025-06-10 DOI: 10.1016/j.digbus.2025.100134

Marion Garaus , Horst Treiblmaier , Udo Wagner , Christian Garaus

Based on the concept of the experience economy, in this article we develop a framework for novel technologies (i.e., artificial intelligence, augmented reality, and virtual reality) that companies can use to shape customer experiences. This conceptual work addresses key concerns about ethics, privacy, cognitive overload, alienation, and sustainability, responding to calls for a critical discussion of these issues. We illustrate how these technologies can be integrated into the experience economy framework and applied in retail settings to enhance customer experiences across the four experiential realms of entertainment, education, escapism, and esthetics. Specifically, we outline how these technologies fit into the experience economy and can create positive experiences across all four realms. Chatbots are used as a case example to illustrate the application of our modified framework. This framework could serve as the theoretical foundation for future academic studies exploring the impact of novel technologies on consumers' retail experiences. Integrating AI, AR, and VR into the experience economy framework offers significant theoretical and practical insights into enhancing consumer retail experiences. These technologies provide new opportunities for creating personalized, immersive, and engaging experiences. By applying our enhanced experience-economy framework, companies can systematically explore the impact of using these technologies to improve consumers' experiences.

基于体验经济的概念，在本文中，我们为新技术（即人工智能、增强现实和虚拟现实）开发了一个框架，公司可以利用这些技术来塑造客户体验。这一概念性作品解决了道德、隐私、认知超载、异化和可持续性等关键问题，回应了对这些问题进行批判性讨论的呼吁。我们将说明如何将这些技术集成到体验经济框架中，并应用于零售环境中，以增强客户在娱乐、教育、逃避现实和美学四个体验领域的体验。具体来说，我们概述了这些技术如何适应体验经济，并在所有四个领域创造积极的体验。Chatbots被用作案例示例来说明修改后框架的应用程序。这一框架可以作为未来学术研究探索新技术对消费者零售体验影响的理论基础。将人工智能、增强现实和虚拟现实整合到体验经济框架中，为增强消费者零售体验提供了重要的理论和实践见解。这些技术为创造个性化、沉浸式和引人入胜的体验提供了新的机会。通过应用我们增强的体验经济框架，公司可以系统地探索使用这些技术改善消费者体验的影响。

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引用次数: 0

Webtop applications as productivity enablers: A study on employee performance in modern workplaces 作为生产力推动者的网络桌面应用：对现代工作场所员工绩效的研究

Digital Business

Pub Date : 2025-06-07 DOI: 10.1016/j.digbus.2025.100133

Mohammad Nurul Alam , Ra'ed Masa'deh , Hammad S. Alotaibi , Md Aminul Islam , Mohammad Fakhrul Islam , Imdadullah Hidayat Ur Rehman , Fariza Hashim

The rapid digital transformation in the telecommunication industry has underscored the importance of webtop applications as productivity enablers. This study examines the impact of key webtop application features—User Interface Usability (UIU), System Integration (SI), Real-Time Data Access (RTDA), and Collaboration Features (CF)—on Employee Productivity (EP) in Bangladesh's telecommunication sector. Grounded in the Task-Technology Fit (TTF) theory, the study investigates the mediating role of Knowledge Sharing (KS) and the moderating role of Technology Training Availability (TTA). Using a quantitative research approach, data were collected through structured surveys from 384 employees in the telecommunication industry and analyzed using Smart-PLS 4.0. The findings reveal that all webtop application features significantly enhance EP, with KS mediating these relationships. TTA positively moderates the effects of RTDA and CF but shows a negative moderation for UIU and no significant impact for SI. The study's novelty lies in its comprehensive exploration of webtop applications within a developing economy, addressing both the technological and human dimensions of productivity. Recommendations include fostering a culture of knowledge sharing, optimizing training programs to match technological complexity, and investing in feature-rich, integrated systems to enhance organizational performance. This research offers actionable insights for managers, policymakers, and academics, providing a robust framework for leveraging digital tools to enhance productivity in modern workplaces. The study contributes to the theoretical discourse by extending the TTF framework and provides a practical roadmap for technology adoption and workforce development in rapidly digitalizing industries.

电信行业的快速数字化转型强调了网络桌面应用程序作为生产力推动者的重要性。本研究考察了网络桌面应用程序的关键功能——用户界面可用性（UIU）、系统集成（SI）、实时数据访问（RTDA）和协作功能（CF）对孟加拉国电信部门员工生产力（EP）的影响。本研究以任务-技术契合度理论为基础，探讨了知识共享的中介作用和技术培训可得性的调节作用。采用定量研究方法，通过对384名电信行业员工的结构化调查收集数据，并使用Smart-PLS 4.0进行分析。研究结果显示，所有网络桌面应用程序的功能显著提高EP，与KS中介这些关系。TTA正向调节RTDA和CF的作用，但对UIU呈负向调节作用，对SI无显著影响。这项研究的新颖之处在于它对发展中经济体中的网络桌面应用进行了全面的探索，解决了生产力的技术和人的两个方面。建议包括培养一种知识共享的文化，优化培训计划以适应技术的复杂性，并投资于功能丰富的集成系统以提高组织绩效。这项研究为管理者、政策制定者和学者提供了可行的见解，为利用数字工具提高现代工作场所的生产力提供了一个强有力的框架。该研究通过扩展TTF框架为理论论述做出了贡献，并为快速数字化行业的技术采用和劳动力发展提供了实用路线图。

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引用次数: 0

The interplay between business analytics capabilities and decision-making performance in Indonesia's public sector 商业分析能力和印度尼西亚公共部门决策绩效之间的相互作用

Digital Business

Pub Date : 2025-06-05 DOI: 10.1016/j.digbus.2025.100132

Ikhsan A. Fattah, Harjanto Prabowo, Viany Utami Tjhin, Rano Kartono Rahim

This study investigates the relationships between data-driven culture, business analytics capability, and decision-making performance, with a focus on the mediating effects of data literacy skills and knowledge management. Additionally, it examines the moderating effects of social capital and perceived uniqueness. A quantitative approach using structural equation modeling (SEM) was utilized to analyze data collected from 330 experienced executives and managers in administrative and supervisory roles within public sector organizations. The results revealed that data literacy skills and knowledge management mediate the relationship between data-driven culture and business analytics capability. Furthermore, the study identifies perceived uniqueness as having a moderating effect on social capital's relationship with business analytics capability and decision-making performance. These findings contribute to addressing a critical gap in the literature by empirically confirming the moderating role of perceived uniqueness in business analytics capability and decision-making performance. The findings offer both theoretical and practical implications with recommendations for future research.

本研究探讨了数据驱动文化、商业分析能力和决策绩效之间的关系，并重点探讨了数据素养技能和知识管理的中介作用。此外，本文还考察了社会资本和感知独特性的调节作用。使用结构方程模型（SEM）的定量方法分析了从公共部门组织中担任行政和监督角色的330名经验丰富的行政人员和管理人员收集的数据。结果显示，数据素养技能和知识管理在数据驱动文化和业务分析能力之间的关系中起中介作用。此外，研究还发现，感知独特性对社会资本与商业分析能力和决策绩效的关系具有调节作用。这些发现有助于通过实证确认感知独特性在业务分析能力和决策绩效中的调节作用来解决文献中的关键空白。研究结果为今后的研究提供了理论和实践意义。

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引用次数: 0

The impact of FinTech on bank performance: A systematic literature review 金融科技对银行绩效的影响：系统文献综述

Digital Business

Pub Date : 2025-05-24 DOI: 10.1016/j.digbus.2025.100131

Feng Xu, Yuliya Kasperskaya, Marti Sagarra

This paper investigates the impact of financial technology (FinTech) on bank performance through a comprehensive bibliometric analysis of publications from the Web of Science Core Collection Database published between 2015 and July 2024. The study employs the R-package litsearchr for keyword search string development and uses VosViewer and Bibliometrix for science mapping and network analysis. The research addresses five key questions, including research trends, influential authors and sources, geographical influences, notable research clusters, and the aspects of bank performance affected by FinTech. The paper proposes four future research directions, suggesting the exploration of alternative bank performance metrics, greater regional focus, the investigation of emerging themes such as financial inclusion and the role of entrepreneurship, and advances in methodologies. This article contributes to significantly enhancing the understanding of how FinTech is reshaping the banking industry and providing a robust foundation for future research to build upon, making it a valuable resource for both academics and practitioners interested in the intersection of technology and finance.

本文通过对2015年至2024年7月期间发表的Web of Science核心馆藏数据库的出版物进行综合文献计量分析，研究了金融科技（FinTech）对银行绩效的影响。本研究使用R-package litsearchr进行关键字搜索字符串开发，并使用VosViewer和Bibliometrix进行科学制图和网络分析。该研究涉及五个关键问题，包括研究趋势、有影响力的作者和来源、地理影响、显著的研究集群以及受金融科技影响的银行绩效方面。本文提出了未来的四个研究方向，建议探索替代的银行绩效指标，更大的区域重点，对新兴主题（如金融普惠和创业的作用）的调查，以及方法的进步。本文有助于大大提高对金融科技如何重塑银行业的理解，并为未来的研究奠定坚实的基础，使其成为对科技与金融交叉感兴趣的学者和从业者的宝贵资源。

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引用次数: 0

AI driven transformation in trade finance: A roadmap for automating letter of credit document examination 贸易融资中人工智能驱动的转型：自动化信用证单据审查的路线图

Digital Business

Pub Date : 2025-05-24 DOI: 10.1016/j.digbus.2025.100130

Mounaf Asaad Khalil, Regina Padmanabhan, Majed Hadid, Adel Elomri, Laoucine Kerbache

International trade with unfamiliar stakeholders poses challenges of trust, payment security, and regulatory compliance. Letters of Credit (LC) help mitigate these risks but rely on manual, error prone processes that lead to delays, high costs, and limited scalability. This study proposes a roadmap for AI adoption in trade finance, specifically targeting the automation of LC document examination. Guided by the Technology-Organization-Environment (TOE) framework and complemented by individual-level insights from the Technology Acceptance Model (TAM), the research integrates organizational, technological, and behavioral factors to frame the adoption process. A literature-driven approach, supported by expert insights and case study analysis, was used to identify trade finance bottlenecks and the role of AI in addressing them. The findings highlight AI's potential in discrepancy detection, workflow optimization, and compliance improvement. However, full automation remains impractical due to regulatory and trust concerns. A hybrid AI-human approach is proposed as a practical and effective solution. This study contributes to bridging research gaps in AI-driven trade finance and provides strategic insights for implementing intelligent document examination systems.

与不熟悉的利益相关者进行国际贸易带来了信任、支付安全和法规遵从性方面的挑战。信用证（LC）有助于减轻这些风险，但它依赖于容易出错的人工流程，从而导致延迟、高成本和有限的可扩展性。本研究提出了人工智能在贸易融资中的应用路线图，特别是针对信用证单据审查的自动化。在技术-组织-环境（TOE）框架的指导下，辅以技术接受模型（TAM）的个人层面的见解，该研究整合了组织、技术和行为因素来构建采用过程。采用文献驱动的方法，在专家见解和案例研究分析的支持下，确定了贸易融资瓶颈以及人工智能在解决这些瓶颈方面的作用。研究结果强调了人工智能在差异检测、工作流程优化和合规性改进方面的潜力。然而，由于监管和信任问题，完全自动化仍然不切实际。提出了一种人工智能-人类混合方法作为一种实用有效的解决方案。本研究有助于弥合人工智能驱动的贸易融资研究空白，并为实施智能文件审查系统提供战略见解。

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引用次数: 0

Digital transformation in commercial banks: Unraveling the flow of Industry 4.0 商业银行的数字化转型：揭示工业4.0的流程

Digital Business

Pub Date : 2025-05-14 DOI: 10.1016/j.digbus.2025.100129

Thiago Felipe , Rui Torres de Oliveira , Agnes Toth-Peter , Shane Mathews , Uwe Dulleck

This study investigates the strategies employed by commercial banks during their digital transformation, particularly regarding the integration of Industry 4.0 technologies. A systematic literature review of 287 articles was conducted to identify strategies at micro, meso, and macro levels. At the micro level, three key strategies emerged: value co-creation, security, and inclusion, aiming to enhance customer experience, secure data, and improve digital accessibility. At the meso level, banks adopt agile organisational structures, automation, and expand digital platforms to optimise internal processes and foster external collaborations. At the macro level, strategies include establishing fully digital banks, incorporating digital features into traditional operations, or collaborating with other stakeholders to innovate business models. A conceptual framework is presented to illustrate the dynamic interaction between these levels, emphasising the importance of a holistic approach for successful digital transformation. The research connects its findings to theories of general-purpose technology and dynamic capabilities. Implications highlight the need for overcoming challenges such as legacy systems, regulatory complexities, and internal resistance. These findings offer valuable insights for banks implementing Industry 4.0 technologies, with a focus on strategic alignment, organisational readiness, and technological innovation.

本研究探讨了商业银行在数字化转型过程中所采用的策略，特别是与工业4.0技术的整合。对287篇文章进行了系统的文献综述，以确定微观、中观和宏观层面的策略。在微观层面，出现了三个关键战略：价值共同创造、安全和包容，旨在增强客户体验、保护数据并改善数字可访问性。在中观层面，银行采用敏捷的组织结构、自动化和扩展数字平台来优化内部流程并促进外部协作。在宏观层面，战略包括建立全数字化银行，将数字化特征纳入传统业务，或与其他利益相关者合作创新商业模式。提出了一个概念框架来说明这些层次之间的动态交互，强调了成功数字化转型的整体方法的重要性。该研究将其发现与通用技术和动态能力理论联系起来。这意味着需要克服遗留系统、监管复杂性和内部阻力等挑战。这些发现为实施工业4.0技术的银行提供了有价值的见解，重点关注战略一致性、组织准备和技术创新。

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引用次数: 0

Best practices for blockchain-driven digital transformation in cross-industry settings 跨行业环境中区块链驱动的数字化转型的最佳实践

Digital Business

Pub Date : 2025-05-06 DOI: 10.1016/j.digbus.2025.100127

Anniina Saari , Sarah Sinclair , Rebecca Leshinsky , Seppo Junnila

Digital transformation (DT) is complex and uncertain, particularly within traditional industries. Distributed ledger technology, such as blockchain, has driven DT across many global sectors. Despite its transformative potential, scaling blockchain solutions beyond pilot projects often fails due to technical, organisational and environmental barriers. Many failures stem from ineffective collaboration and strategic misalignment among ecosystem partners rather than from technology. This study examines collaborative processes and enabling capabilities required for successful DT by focusing on a longitudinal case study from Finland (2019–2023). The case follows a cross-industry, blockchain-driven DT initiative that achieved scale despite transitioning from private blockchain to centralised technologies after market entry. While the role of blockchain in this success has been documented (Saari et al., 2024), the ecosystem collaboration mechanisms and strategies for tackling challenges remain unclear. Using the technology–organisation–environment (TOE) framework, this paper analyses how DT unfolded across these contexts, identifying best practice strategies and enabling capabilities. The study draws on 35 interviews with key stakeholders and thematic content analysis to identify critical scaling enablers. Our findings reveal that scaling blockchain-driven DT in cross-industry settings requires 1) industry-level mindset and shared vision, 2) formalised collaboration and public–private partnerships, 3) governance structure with a sustainable business model and funding, 4) complementary ecosystem roles and an early-stage champion, 5) stakeholder training and support and 6) flexibility in technology and agile implementation. These elements show that trust and strategic alignment can emerge even among direct competitors, offering valuable insights for enterprises exploring blockchain innovation in business-to-business contexts.

数字化转型（DT）是复杂和不确定的，特别是在传统行业。分布式账本技术，如区块链，已经在全球许多领域推动了DT的发展。尽管区块链具有变革潜力，但由于技术、组织和环境方面的障碍，在试点项目之外推广区块链解决方案往往会失败。许多失败源于生态系统合作伙伴之间的无效合作和战略错位，而不是技术。本研究通过芬兰（2019-2023）的纵向案例研究，考察了成功的DT所需的协作过程和实现能力。该案例遵循了一项跨行业、区块链驱动的DT计划，该计划在市场进入后从私有区块链过渡到集中式技术，但仍实现了规模。虽然区块链在这一成功中的作用已被记录（Saari等人，2024），但生态系统协作机制和应对挑战的策略仍不清楚。使用技术-组织-环境（TOE）框架，本文分析了DT如何在这些环境中展开，确定了最佳实践策略和启用功能。该研究通过对35个主要利益相关者的访谈和专题内容分析来确定关键的规模推动因素。我们的研究结果表明，在跨行业环境中扩展区块链驱动的DT需要1)行业层面的思维方式和共同的愿景，2)正式的合作和公私伙伴关系，3)具有可持续商业模式和资金的治理结构，4)互补的生态系统角色和早期的倡导者，5)利益相关者的培训和支持，6)技术的灵活性和敏捷实施。这些元素表明，信任和战略一致性甚至可以在直接竞争对手之间出现，为企业在b2b环境中探索区块链创新提供了有价值的见解。

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引用次数: 0

Exploring auditor adaptability in the digital era through levels of expertise: The role of IT literacy 通过专业水平探索审计师在数字时代的适应性：IT素养的作用

Digital Business

Pub Date : 2025-04-21 DOI: 10.1016/j.digbus.2025.100126

Joelle Matta , Elie Chamoun

As digital transformation accelerates, auditors must adapt to technologically advanced environments, which challenge traditional audit practices and require new skills. This study investigates how auditor expertise and IT literacy interact to influence adaptability in a digital context. Through a two-way ANOVA, we examine how varying levels of expertise and IT literacy jointly impact auditors' adaptability. Expertise and IT literacy levels are calculated using quartile and tertile assumptions, categorizing respondents into distinct groups. Findings indicate that auditors with both high expertise and IT literacy demonstrate significantly greater adaptability, underscoring the importance of digital skills alongside traditional competencies. IT literacy strengthens auditors' capacity to navigate complex digital systems, enhancing adaptability, while low IT literacy can restrict adaptability and hinder performance. Additionally, this study highlights key benefits and challenges in adapting to digital practices, noting that digital skills can improve audit quality if emphasized in training programs. Although digital transformation offers clear advantages, it presents challenges, such as heightened demands for digital proficiency and the need for continuous development to reduce risks. As the audit profession evolves, auditor adaptability—supported by IT literacy—will be critical in thriving within digital landscapes. The implications underscore the need for audit firms to integrate IT literacy training with traditional skill development to prepare auditors effectively for the future of digital auditing.

随着数字化转型的加速，审计师必须适应技术先进的环境，这挑战了传统的审计实践并需要新的技能。本研究探讨了审计师的专业知识和IT素养如何相互作用，影响数字化环境下的适应性。通过双向方差分析，我们研究了不同水平的专业知识和IT素养如何共同影响审计师的适应性。使用四分位数和五分位数假设计算专业知识和IT素养水平，将受访者分为不同的组。调查结果表明，具有高专业知识和IT素养的审核员表现出更强的适应性，强调了数字技能与传统能力的重要性。IT素养增强了审计人员驾驭复杂数字系统的能力，增强了适应性，而低IT素养会限制适应性并阻碍绩效。此外，本研究还强调了适应数字化实践的主要好处和挑战，指出如果在培训计划中强调数字化技能，可以提高审计质量。尽管数字化转型提供了明显的优势，但它也带来了挑战，例如对数字化熟练程度的更高要求，以及对持续发展以降低风险的需求。随着审计职业的发展，审计师的适应性（由IT素养支持）对于在数字环境中蓬勃发展至关重要。这些影响强调了审计公司需要将IT素养培训与传统技能发展相结合，以有效地为审计师的未来数字审计做好准备。

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引用次数: 0

Virtual brand communities unveiled: A comprehensive bibliometric exploration 虚拟品牌社区揭秘：综合文献计量学探索

Digital Business

Pub Date : 2025-04-16 DOI: 10.1016/j.digbus.2025.100122

Christiam Méndez-Lazarte , Alfredo Galdo-Jiménez , Ammer Ghouleh-Grundl , Ximena Yance-Morales , Victor Bohorquez-Lopez

Virtual Brand Communities (VBCs) have evolved into essential platforms for consumer-brand interactions, fostering engagement, trust, and loyalty in digital spaces. Through a comprehensive bibliometric analysis of 424 Scopus-indexed articles dated from 2006 to 2024, this study maps the intellectual and thematic evolution of VBCs research using VOSviewer and SciMAT. The analysis reveals a notable shift from early research focused on technology and online community dynamics to more sophisticated research on digital marketing strategies, consumer behavior patterns, and brand management approaches. Consumer engagement, brand trust, and purchase intention emerge as central themes, with a growing emphasis on user-generated content, electronic word-of-mouth (eWOM), and social commerce developments. Findings demonstrate that VBCs not only influence consumer decision-making processes but also function as strategic assets for brands seeking to enhance customer relationships and cultivate long-term loyalty. VBCs increasingly serve as innovation hubs where brands can co-create value with consumers while building authentic connections. The research contributes significantly to understanding VBCs' evolving role in contemporary brand strategy, especially because VBCs represent a crucial frontier where brands can differentiate themselves through meaningful consumer interactions and relationship building beyond traditional marketing approaches. It is important to highlight that, by mapping both historical foundations and emerging trajectories in VBCs studies, this review establishes a baseline for future research directions while providing actionable insights for practitioners. Brands can leverage these findings to develop more effective community management strategies and capitalize on the competitive advantages offered by well-cultivated digital communities.

虚拟品牌社区（vbc）已经发展成为消费者与品牌互动的重要平台，在数字空间中促进参与、信任和忠诚度。通过对2006年至2024年间424篇scopus索引文章的综合文献计量分析，本研究利用VOSviewer和SciMAT绘制了vbc研究的智力和主题演变图。该分析揭示了一个显著的转变，从早期的研究集中于技术和在线社区动态，到更复杂的数字营销策略、消费者行为模式和品牌管理方法的研究。消费者参与、品牌信任和购买意愿成为中心主题，用户生成内容、电子口碑（eom）和社交商务发展日益受到重视。研究结果表明，vbc不仅影响消费者的决策过程，而且作为品牌寻求加强客户关系和培养长期忠诚度的战略资产。vbc越来越多地成为创新中心，品牌可以在这里与消费者共同创造价值，同时建立真实的联系。该研究有助于理解vbc在当代品牌战略中的演变作用，特别是因为vbc代表了一个关键的前沿，品牌可以通过有意义的消费者互动和建立超越传统营销方法的关系来区分自己。重要的是要强调，通过绘制vbc研究的历史基础和新兴轨迹，本综述为未来的研究方向建立了基线，同时为从业者提供了可操作的见解。品牌可以利用这些发现来制定更有效的社区管理策略，并利用良好培育的数字社区提供的竞争优势。

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引用次数: 0

Exploring IoT integration challenges: Causal relationships and strategic implications for business models 探索物联网整合挑战：商业模式的因果关系和战略影响

Digital Business

Pub Date : 2025-04-15 DOI: 10.1016/j.digbus.2025.100125

Parveen Siwach , Disha Gulia , Dhiraj Kumar Yadav , Mohit Malik , Vijay Kumar Gahlawat

Implementing the Internet of Things (IoT) into business models has become an influential catalyst, supporting novel revenue generation, improved operational efficiencies, and competitive dominance. Still, its implementation has been challenged by barriers to technological, organizational, and societal dimensions. The current study utilizes the Fuzzy Decision-Making Trial and Evaluation Laboratory (Fuzzy DEMATEL) technique to comprehensively identify and assess the interconnections among fundamental IoT integration challenges. Thirteen crucial components were analysed, influencing interoperability challenges, data security and privacy issues, standardized issues, high initial investment, scaling obstacles, and adverse environmental effects. The results indicate a clear differentiation between seven cause variables such as lack of skilled workforce, interoperability issues, standardization gaps, high initial investment, regulatory issues, resistance to change, and data security and privacy issues were the most influential challenges and six effects (dependent) factors including vendor dependency risks were the most impacted effect factors. These findings highlight the necessity to tackle fundamental problems, including standardization, workforce development, and regulatory clarity. This research strengthens theoretical aspects in IoT using Fuzzy DEMATEL by delivering a robust decision-making roadmap. The results highlights actionable practical recommendations for regulators and businesses for effective resource utilization to improve their IoT adoption in compliance with sustainable development. Businesses can utilize the full potential of IoT by addressing such problems and promote innovative environment to ensure a sustainable and resilient future.

在商业模式中实施物联网（IoT）已经成为一种有影响力的催化剂，支持新的收入产生，提高运营效率，并在竞争中占据主导地位。尽管如此，它的实施仍受到技术、组织和社会层面障碍的挑战。目前的研究利用模糊决策试验和评估实验室（模糊DEMATEL）技术来全面识别和评估基本物联网集成挑战之间的相互联系。研究分析了影响互操作性挑战、数据安全和隐私问题、标准化问题、高初始投资、规模障碍和不利环境影响的13个关键组成部分。结果表明，7个原因变量（如缺乏熟练劳动力、互操作性问题、标准化差距、高初始投资、监管问题、变革阻力、数据安全和隐私问题）是影响最大的挑战，6个影响（依赖）因素（包括供应商依赖风险）是影响最大的因素。这些发现强调了解决基本问题的必要性，包括标准化、劳动力发展和监管清晰度。本研究通过提供稳健的决策路线图，利用模糊DEMATEL加强了物联网的理论方面。研究结果为监管机构和企业提供了可操作的实用建议，以有效利用资源，提高物联网的采用，符合可持续发展的要求。企业可以通过解决这些问题和促进创新环境来充分利用物联网的潜力，以确保可持续和有弹性的未来。

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引用次数: 0