Digital Business最新文献

Exploring the effects of FinTech adoption on traditional banking: A systematic literature review on opportunities and challenges 探索金融科技对传统银行业的影响：关于机遇与挑战的系统文献综述

IF 7.2

Digital Business

Pub Date : 2026-01-09 DOI: 10.1016/j.digbus.2026.100163

Prosenjeet Ghosh, Uttam Golder

The rise of financial technology (FinTech) is transforming financial services and reshaping traditional banking by driving innovation while challenging established institutions. This study systematically reviews existing research to understand the impact of FinTech adoption in traditional banking and explores emerging trends using a Systematic Literature Review (SLR) and a bibliometric analysis of Scopus data from 2003 to May 27, 2025. The review identifies a growing body of research in FinTech and traditional banking, with China contributing 20.38%, followed by Malaysia 6.24%, India 5.76%, Jordan 5.51%, and Indonesia with 4.55% of the total studies, respectively. According to the review, 48.57% reported a positive impact, 15.24% negative impact, and 36.19% mixed impact of FinTech on traditional banking. Additionally, 37.46% and 37.14% of studies suggest that FinTech adoption is frequently associated with improved customer experience and increased performance, respectively. Similarly, 30.16%, 24.13%, and 22.86% of studies highlight FinTech's role in improving competitiveness, cost efficiency, and better risk management, respectively. However, 34.29% of studies caution about potential risks associated with FinTech adoption. Furthermore, 24.76% reveal financial and operational challenges and increased direct competition, while adverse influence on bank efficiency and profitability is noted by 11.75% studies, respectively. The outcome of this review suggests that over-reliance on FinTech could introduce operational risks and erode the competitive advantages of the traditional banks, highlighting the need for evolving regulatory frameworks. These synthesized insights could be essential for banking professionals, policymakers, regulators, and tech developers to strike a balance between innovation and financial stability in the digital age.

金融科技（FinTech）的兴起正在通过推动创新来改变金融服务和重塑传统银行业，同时挑战现有机构。本研究系统地回顾了现有研究，以了解金融科技对传统银行业的影响，并利用系统文献综述（SLR）和对2003年至2025年5月27日Scopus数据的文献计量学分析，探讨了新兴趋势。该报告指出，对金融科技和传统银行的研究越来越多，中国贡献了20.38%，其次是马来西亚6.24%、印度5.76%、约旦5.51%和印度尼西亚，分别占研究总数的4.55%。根据审查，48.57%的人认为金融科技对传统银行产生了积极影响，15.24%的人认为是负面影响，36.19%的人认为金融科技对传统银行产生了混合影响。此外，37.46%和37.14%的研究表明，金融科技的采用通常分别与改善客户体验和提高绩效有关。同样，30.16%、24.13%和22.86%的研究分别强调了金融科技在提高竞争力、成本效率和更好的风险管理方面的作用。然而，34.29%的研究对采用金融科技的潜在风险提出了警告。此外，24.76%的研究揭示了财务和运营挑战以及直接竞争的增加，而11.75%的研究分别指出了对银行效率和盈利能力的不利影响。这项审查的结果表明，过度依赖金融科技可能会带来操作风险，并侵蚀传统银行的竞争优势，这突显了不断发展的监管框架的必要性。这些综合见解对于银行专业人士、政策制定者、监管机构和技术开发人员在数字时代在创新和金融稳定之间取得平衡至关重要。

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引用次数: 0

AI transformation in working life: A systematic review of usage and attitudes towards AI among workers 工作生活中的人工智能转型：对工人对人工智能的使用和态度的系统回顾

IF 7.2

Digital Business

Pub Date : 2025-12-27 DOI: 10.1016/j.digbus.2025.100162

Iina Savolainen , Lotta Ylinen , Roope Grönroos , Atte Oksanen

The unprecedented development in Artificial Intelligence (AI) is transforming workplaces and work processes, necessitating a broader understanding of how employees perceive and adapt to these changes. Extensive research has examined the implications of AI implementation in the workplace. However, previous studies have mainly focused on historical perspectives or conceptual analyses. This study presents findings from a systematic literature review covering empirical research from five years (2020–2024). We focus on workers' first-hand experiences and appraisals of AI-related changes in their workplaces. We also synthesize how attitudes towards AI vary across professional sectors and implementation contexts. Using the PRISMA methodology, we conducted systematic searches across five databases: EBSCOhost (EBSCO), PsycINFO (APA), Scopus (Elsevier), Social Science Premium Collection (ProQuest), and Web of Science (Clarivate) between June 3rd and 10th, 2024. A synthesis of k = 24 studies revealed that workers perceive AI as both an opportunity and a source of concern. Automation and decision-support tools in the workplace were related to improved efficiency, productivity, and perceived fairness, but they were also connected to anxiety and uncertainty about role change and job security. Evidence was most prevalent in healthcare and education, indicating a need for broader sectoral and regional research. The findings highlight the importance of transparent and ethical AI integration, ensuring fairness, accountability, and human oversight, supported by workforce training and communication.

人工智能（AI）的空前发展正在改变工作场所和工作流程，需要更广泛地了解员工如何感知和适应这些变化。广泛的研究考察了人工智能在工作场所的应用所带来的影响。然而，以往的研究主要集中在历史视角或概念分析上。本研究通过对5年（2020-2024年）的实证研究进行系统的文献综述。我们关注员工对其工作场所人工智能相关变化的第一手经验和评估。我们还综合了不同专业部门和实施环境对人工智能的态度。使用PRISMA方法，我们对EBSCOhost （EBSCO）、PsycINFO （APA）、Scopus （Elsevier）、Social Science Premium Collection （ProQuest）和Web of Science （Clarivate）五个数据库进行了系统检索，检索时间为2024年6月3日至10日。对k = 24项研究的综合分析显示，员工认为人工智能既是机会，也是担忧的来源。工作场所的自动化和决策支持工具与提高效率、生产力和感知公平有关，但它们也与角色变化和工作保障的焦虑和不确定性有关。证据在保健和教育领域最为普遍，表明需要进行更广泛的部门和区域研究。调查结果强调了透明和合乎道德的人工智能整合的重要性，在劳动力培训和沟通的支持下，确保公平、问责和人为监督。

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引用次数: 0

The role of artificial intelligence across the source-to-pay framework: Theoretical and practical aspects 人工智能在源到支付框架中的作用：理论和实践方面

IF 7.2

Digital Business

Pub Date : 2025-12-01 DOI: 10.1016/j.digbus.2025.100160

Nour Lakhal, Adel Aazami, Sebastian Kummer

The procurement function is undergoing a significant transformation driven by the integration of Artificial Intelligence (AI) and other Industry 4.0 technologies across the Source-to-Pay (S2P) process. While prior research has acknowledged the potential of digital procurement tools, there remains a lack of clarity regarding AI's role in specific stages of the S2P framework. This study addresses that gap by examining how AI is applied across three key procurement domains: Source-to-Contract (S2C), Purchase-to-Pay (P2P), and Supplier Relationship Management (SRM). Using a qualitative approach, we conducted semi-structured interviews with procurement professionals to explore AI's practical uses, perceived benefits, and challenges. The findings show that AI enhances efficiency, decision-making, and supplier collaboration, while also driving cross-cutting advances such as orchestration, Application Programming Interface (API) integration, data governance, and new skill requirements. Beyond these process-level benefits, the study highlights practical implications for organizations, including improved cost control, agility, and stronger supplier relationships. Overall, the research contributes to the literature on AI in supply chain management and offers actionable guidance for organizations seeking to leverage digital transformation to innovate and build resilience in procurement.

在人工智能（AI）和其他工业4.0技术的整合推动下，采购职能正在经历一场重大变革。虽然先前的研究已经承认了数字采购工具的潜力，但人工智能在S2P框架的特定阶段的作用仍然缺乏明确性。本研究通过研究人工智能如何在三个关键采购领域应用来解决这一差距：源到合同（S2C）、采购到付款（P2P）和供应商关系管理（SRM）。采用定性方法，我们对采购专业人员进行了半结构化访谈，以探索人工智能的实际用途、感知到的好处和挑战。研究结果表明，人工智能提高了效率、决策和供应商协作，同时也推动了跨领域的进步，如编排、应用程序编程接口（API）集成、数据治理和新技能要求。除了这些过程级的好处之外，该研究还强调了对组织的实际影响，包括改进的成本控制、敏捷性和更强的供应商关系。总体而言，该研究为供应链管理中的人工智能文献做出了贡献，并为寻求利用数字化转型来创新和建立采购弹性的组织提供了可操作的指导。

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引用次数: 0

Editorial: Blockchain-driven business models 社论：区块链驱动的商业模式

IF 7.2

Digital Business

Pub Date : 2025-12-01 DOI: 10.1016/j.digbus.2025.100154

Horst Treiblmaier , Abderahman Rejeb , Teck Ming Tan , Guido Ongena

In this editorial, we introduce the Special Issue on Blockchain-Driven Business Models. Over the last decade, academics have proposed numerous ideas on how to integrate the unique properties of blockchain, such as immutability, traceability, and programmability, into existing business models or to utilize them for developing startups from scratch. Practitioners have tried out countless disruptive business ideas, some of which have failed, while others have already begun to transform entire industries. This Special Issue explores the concept of blockchain-based business models from various angles, offering different theoretical perspectives and paving the way for future research in this groundbreaking area.

在这篇社论中，我们介绍了关于区块链驱动商业模式的特刊。在过去的十年中，学者们提出了许多关于如何将区块链的独特属性（如不变性、可追溯性和可编程性）集成到现有业务模型中或利用它们从头开始开发初创公司的想法。从业者已经尝试了无数颠覆性的商业理念，其中一些失败了，而另一些已经开始改变整个行业。本期特刊从多个角度探讨基于区块链的商业模式概念，提供不同的理论视角，为这一开创性领域的未来研究铺平道路。

引用次数: 0

New bottles for new wine: Digital transformation demands new policies and strategies 新瓶装新酒：数字化转型需要新的政策和战略

IF 7.2

Digital Business

Pub Date : 2025-12-01 DOI: 10.1016/j.digbus.2025.100140

Seongcheol Kim , Youngsun Kwon , Yoonhyuk Jung

This editorial is an introduction to the special issue for the International Telecommunications Society 24th Biennial Conference (ITS 2024 Seoul). The conference explored and discussed new policies and strategies for effectively coping with the impending challenge of digital transformation. Ninety-nine papers were presented at ITS 2024 Seoul, and following the conference, eleven papers were submitted for the ITS 2024 Seoul special issue. Three of these papers were accepted and included in this special issue. These papers provide significant findings and implications for firms, governments, and societies to cope with the impending challenges of digital transformation effectively. However, since digital transformation demands new policies and strategies, significant additional research is required.

这篇社论是国际通信协会第24届双年展（ITS 2024首尔）特刊的介绍。会议探讨和讨论了有效应对即将到来的数码转型挑战的新政策和策略。在ITS 2024首尔会议上发表了99篇论文，在会议结束后，在ITS 2024首尔特刊上提交了11篇论文。其中三篇论文被接受并收录在本期特刊中。这些论文为企业、政府和社会有效应对即将到来的数字化转型挑战提供了重要的发现和启示。然而，由于数字化转型需要新的政策和战略，因此需要进行大量额外的研究。

引用次数: 0

Agile co-creation and digital entrepreneurship Nexus: A systematic literature review and future research agenda 敏捷共同创造和数字创业关系：系统的文献综述和未来的研究议程

IF 7.2

Digital Business

Pub Date : 2025-12-01 DOI: 10.1016/j.digbus.2025.100159

Sardar Wasi Ahmed, Ghulam Mustafa

While existing literature reviews and agenda-setting articles in digital entrepreneurship (DE) offers valuable insights, they fall short of providing a holistic understanding of the nexus between agile co-creation and DE. To address this gap, the current study conducts a systematic literature review (SLR) considering three largest academic databases: Scopus, Web of Science and Google Scholar, and includes 117 research articles for content analysis and synthesis. Based on the findings, the study proposes an integrated framework that conceptualises the agile co-creation –DE nexus through three core thematic dimensions: (i) primary motivations; (ii) principal challenges and critical success factors; and (iii) anticipated outcomes. It further introduces an agile co-creation typology that demarcates four modes: opportunity discovery, rapid learning, strategic agility, and incremental innovation, reflecting how agile co-creation evolve across varying levels of uncertainty and organisational adaptiveness. For future research, the SLR highlights the need for a multi-level analytical approach that captures the interactions among individual entrepreneurial behaviours (micro), institutional and social dynamics (meso), and broader digital and regulatory environments (macro). Given that research on the agile co-creation and DE nexus remains in its formative stage, this review and agenda contribute to advancing theoretical development in the field, while also providing practical guidance for entrepreneurs and policymakers to leverage agile co-creation in DE contexts.

虽然现有的关于数字创业（DE）的文献综述和议程设置的文章提供了有价值的见解，但它们无法全面理解敏捷共同创造与DE之间的关系。为了解决这一差距，本研究对三个最大的学术数据库进行了系统的文献综述（SLR）： Scopus、Web of Science和b谷歌Scholar，并纳入了117篇研究文章进行内容分析和综合。基于这些发现，本研究提出了一个集成框架，通过三个核心主题维度概念化敏捷共同创造-DE关系：(i)主要动机；（ii）主要挑战和关键成功因素；（三）预期结果。它进一步介绍了一种敏捷共同创造类型，划分了四种模式：机会发现、快速学习、战略敏捷性和增量创新，反映了敏捷共同创造如何在不同程度的不确定性和组织适应性中发展。对于未来的研究，SLR强调需要一种多层次的分析方法，以捕捉个人创业行为（微观）、制度和社会动态（中观）以及更广泛的数字和监管环境（宏观）之间的相互作用。鉴于敏捷共同创造和DE关系的研究仍处于形成阶段，本综述和议程有助于推进该领域的理论发展，同时也为企业家和政策制定者在DE环境中利用敏捷共同创造提供实践指导。

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引用次数: 0

Understanding consumer responses to carbon footprint product labels: A multi-group analysis of online and offline shopping engagement in retail contexts 了解消费者对碳足迹产品标签的反应：零售环境下在线和离线购物参与的多群体分析

IF 7.2

Digital Business

Pub Date : 2025-11-11 DOI: 10.1016/j.digbus.2025.100158

Aye Chan Soe , Chavis Ketkaew

As carbon footprint product labels (CFPL) gain prominence as tools for encouraging environmentally responsible consumption, it becomes increasingly important to explore how consumers interpret and respond to such information. This study applies the Value-Belief-Norm (VBN) framework to investigate the relationships among Sustainability-Oriented Values (SOV), Carbon Label Awareness (CLA), Eco-Conscious Norms (ECN), and Sustainable Purchase Behavior (SPB), while also examining the moderating influence of Shopping Engagement Modes and Cognitive Processing Styles. A multi-group structural equation modeling (SEM) analysis was conducted using a sample of 662 consumers, segmented into Online-Dominant Shoppers (n = 340) and Offline-Dominant Shoppers (n = 322), as well as Systematic Processors (n = 345) and Heuristic Processors (n = 317). The findings reveal differentiated decision-making patterns across these consumer groups. Online-focused consumers exhibited a greater reliance on CLA for immediate decisions, whereas offline consumers were more likely to follow a sequence involving both CLA and ECN, indicating the heightened role of social influence in physical shopping contexts. Systematic Processors demonstrated more deliberate integration of eco-labels and norms into their decisions, while Heuristic Processors were more influenced by surface-level label recognition. The study underscores that consumer responses to sustainability labels are not homogenous, and that both contextual and cognitive factors shape purchasing behavior. Strategic implications include enhancing digital label visibility for online shoppers and strengthening normative messaging in physical retail to encourage sustainable consumption.

随着碳足迹产品标签（CFPL）作为鼓励环保消费的工具而获得突出地位，探索消费者如何解释和回应这些信息变得越来越重要。本研究运用价值-信念-规范（VBN）框架探讨了可持续导向价值观（SOV）、碳标签意识（CLA）、生态意识规范（ECN）与可持续购买行为（SPB）之间的关系，同时考察了购物参与模式和认知加工风格的调节作用。对662名消费者进行了多群体结构方程建模（SEM）分析，这些消费者被分为在线主导购物者（n = 340）和离线主导购物者（n = 322），以及系统处理者（n = 345）和启发式处理者（n = 317）。研究结果揭示了这些消费者群体的不同决策模式。在线消费者在做出即时决定时更依赖于CLA，而线下消费者更有可能遵循CLA和ECN的顺序，这表明社会影响在实体购物环境中的作用更高。系统处理者在其决策中更有意识地整合生态标签和规范，而启发式处理者则更受表面标签识别的影响。该研究强调，消费者对可持续标签的反应并不相同，环境和认知因素都影响了购买行为。战略影响包括提高在线购物者的数字标签可见性，加强实体零售的规范信息传递，以鼓励可持续消费。

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引用次数: 0

The system of research questions in theory-oriented studies of the application of the internet of things in the healthcare sector 物联网在医疗保健领域应用的理论导向研究中的系统研究问题

IF 7.2

Digital Business

Pub Date : 2025-10-24 DOI: 10.1016/j.digbus.2025.100157

Payam Hanafizadeh, Ferdos Hatami Lankarani

This study develops a structured framework for advancing theory-driven research on the application of Internet of Things (IoT) technologies in the healthcare sector. Despite the growing body of empirical research, prior studies lack a systematic analysis of the research questions posed and the theoretical frameworks applied. Addressing this gap, the study conducts a rigorous Systematic Literature Review (SLR) of 75 peer-reviewed articles indexed in Scopus and Web of Science. It identifies 85 distinct research questions and 36 theories used in empirical investigations, classifying them into five thematic areas: technology adoption, performance improvement, social and cultural aspects, cognitive processes, and decision-making. To enhance theoretical precision and applicability, the study introduces a decision matrix based on the framework of Hanafizadeh and Alipour (2025), which enables the alignment of research questions with suitable theories through an analysis of contextual and conceptual fit. Using this approach, the study proposes 113 alternative theories to address existing questions and introduces 38 new research questions, supported by 48 relevant theoretical frameworks. The original contribution of this research lies in its systematic mapping of theory-question relationships and the introduction of a structured model for guiding future research in IoT and healthcare. By bridging theoretical gaps and extending conceptual understanding, the study offers a valuable resource for scholars seeking to conduct more robust, theory-informed investigations in the rapidly evolving field of smart healthcare systems.

本研究开发了一个结构化框架，用于推进物联网（IoT）技术在医疗保健领域应用的理论驱动研究。尽管实证研究越来越多，但以往的研究缺乏对研究问题和应用的理论框架的系统分析。为了解决这一差距，该研究对Scopus和Web of Science收录的75篇同行评议文章进行了严格的系统文献综述（SLR）。它确定了实证调查中使用的85个不同的研究问题和36个理论，将它们分为五个主题领域：技术采用、绩效改进、社会和文化方面、认知过程和决策。为了提高理论的精确性和适用性，本研究引入了基于Hanafizadeh和Alipour（2025）框架的决策矩阵，通过分析上下文和概念契合度，使研究问题与合适的理论保持一致。在48个相关理论框架的支持下，本研究提出了113个替代理论来解决现有问题，并引入了38个新的研究问题。本研究的原始贡献在于它系统地映射了理论-问题关系，并引入了一个结构化模型来指导未来物联网和医疗保健的研究。通过弥合理论差距和扩展概念理解，该研究为寻求在快速发展的智能医疗系统领域进行更强大，理论知情调查的学者提供了宝贵的资源。

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引用次数: 0

Self-service business intelligence systems in production domains: Introducing data democratization and mass customizable mashups 生产领域中的自助服务业务智能系统：引入数据民主化和大规模可定制的mashup

IF 7.2

Digital Business

Pub Date : 2025-10-17 DOI: 10.1016/j.digbus.2025.100156

Johan Bjerre Bach Clausen , Charles Møller , Claus Boye Asmussen , Steffen Lundgaard Jørgensen

This paper explores the observation that making business intelligence available through self-service business intelligence (SSBI) systems has only to a lesser degree been successful in organizations. In this paper, we specifically explore SSBI in the production domain, where Internet-of-Things and production data are core data sources in production companies. This paper takes a design science approach, where a structured literature review is used to establish the current research frontier. From our analysis of the problem situation, and close empirical collaboration with a company experiencing problems with implementing SSBI systems, we propose and design two digital artifacts. The two artifacts are partly evaluated based on empirical data from the case company. In this paper, we find that data should not only be made available in SSBI systems, but must also be presented in accordance with domain knowledge of the users. This finding implies that the SSBI literature should to a larger degree draw upon insights from relevant IS literature on contextualized data. Practitioners should design IS systems with contextualized data at their core, as the digital twin discussed in this paper. The second main finding of the paper is that analytics in SSBI systems should be prescriptive analytics, which directly supports the users’ decision-making. A novel contribution of this paper is integrating the concept of prescriptive analytics SSBI systems, and in this paper we discuss and partly validate how integrating prescriptive analytics and SSBI systems can improve decision-making in a production context.

本文探讨了通过自助商业智能（SSBI）系统提供商业智能在组织中仅在较小程度上取得成功的观察结果。在本文中，我们专门探讨了生产领域的SSBI，其中物联网和生产数据是生产企业的核心数据源。本文采用设计科学的方法，采用结构化的文献综述来建立当前的研究前沿。根据我们对问题情况的分析，以及与一家在实施SSBI系统时遇到问题的公司的密切经验合作，我们提出并设计了两个数字工件。根据案例公司的经验数据对这两个工件进行部分评估。在本文中，我们发现数据不仅应该在SSBI系统中可用，而且还必须根据用户的领域知识来呈现。这一发现意味着SSBI文献应该在更大程度上借鉴相关IS文献对情境化数据的见解。从业者应该设计以情境化数据为核心的信息系统，正如本文中讨论的数字孪生。本文的第二个主要发现是SSBI系统中的分析应该是规定性分析，它直接支持用户的决策。本文的一个新颖贡献是集成了规定性分析SSBI系统的概念，在本文中，我们讨论并部分验证了如何集成规定性分析和SSBI系统可以改善生产环境中的决策。

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引用次数: 0

Leadership behaviours to promote organisational performance in private sector digital transformation – A systematic literature review 领导行为促进私营部门数字化转型中的组织绩效——系统文献综述

IF 7.2

Digital Business

Pub Date : 2025-09-26 DOI: 10.1016/j.digbus.2025.100155

Matias Orkamo, Juhani Ukko, Tero Rantala, Minna Saunila

Research on digital transformation leadership is growing rapidly, yet its behavioural foundations and performance effects remain unclear. This study conducts a systematic literature review from a micro-level behavioural perspective, while detaching the context from established leadership patterns. A comprehensive search was conducted across major academic databases, including Scopus and Web of Science, resulting in 65 studies that met the inclusion criteria. A total of 65 peer-reviewed articles published between 2000 and 2024 were analysed to identify how leadership behaviours influence organisational performance in digital transformation. Most studies were published between 2021 and 2024, reflecting the novelty and rising interest in the topic. Leadership behaviours were classified into task-, relation-, change-, and externaloriented behaviours. These behaviours were linked to four performance dimensions: effective leadership, digital acceptance, digital competence, and digital innovation. Simultaneous use of diverse behaviours is essential, as different behaviours affect different outcomes. Emotional intelligence supports behavioural balance, and behavioural variance is key due to the synergistic nature of performance dimensions. The review applies Vial's (2019) digital transformation framework to structure the synthesis. The findings aim to operationalize leadership practices that precede the dynamic system outlined in the framework. The study concludes with 15 propositions for future research.

关于数字化转型领导的研究正在迅速发展，但其行为基础和绩效影响尚不清楚。本研究从微观层面的行为角度进行了系统的文献综述，同时将背景从既定的领导模式中分离出来。我们对包括Scopus和Web of Science在内的主要学术数据库进行了全面的搜索，结果有65项研究符合纳入标准。研究人员分析了2000年至2024年间发表的65篇同行评议文章，以确定领导行为如何影响数字化转型中的组织绩效。大多数研究发表于2021年至2024年之间，反映了该主题的新颖性和日益增长的兴趣。领导行为分为任务导向行为、关系导向行为、变革导向行为和外部导向行为。这些行为与四个绩效维度有关：有效领导、数字化接受、数字化能力和数字化创新。同时使用多种行为是必要的，因为不同的行为会影响不同的结果。情商支持行为平衡，行为差异是关键，因为表现维度的协同性。该综述应用了Vial（2019）的数字化转型框架来构建合成。研究结果旨在将框架中概述的动态系统之前的领导实践付诸实施。本研究最后提出了15项未来研究的建议。

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引用次数: 0