Information Systems Frontiers最新文献

{"title":"From Industry 4.0 Digital Manufacturing to Industry 5.0 Digital Society: a Roadmap Toward Human-Centric, Sustainable, and Resilient Production","authors":"Morteza Ghobakhloo, Hannan Amoozad Mahdiraji, Mohammad Iranmanesh, Vahid Jafari-Sadeghi","doi":"10.1007/s10796-024-10476-z","DOIUrl":"https://doi.org/10.1007/s10796-024-10476-z","url":null,"abstract":"<p>The present study addresses two critical controversies surrounding the emerging Industry 5.0 agenda. Firstly, it seeks to elucidate the driving forces behind the accelerated momentum of the Industry 5.0 agenda amidst the ongoing digital industrial transformation. Secondly, it explores how the agenda’s sustainability values can be effectively realised. The study conducted a comprehensive content-centric literature synthesis and identified how Industry 4.0 shortcomings adversely impacted sustainability values. Furthermore, the study implements a novel approach that determines how and in what order the sustainability functions of Industry 4.0 should be leveraged to promote the sustainability objectives of Industry 5.0. Results reveal that Industry 4.0 has benefited economic and environmental sustainability values most at the organisational and supply chain levels. Nonetheless, most micro and meso-social sustainability values have been adversely impacted by Industry 4.0. Similarly, Industry 4.0 has been worryingly detrimental to macro sustainability values like social or economic growth equality. These contradictory implications of Industry 4.0 have pulled the Industry 5.0 agenda. However, the results identified nine sustainability functions of Industry 4.0 that, when leveraged appropriately and in the correct order, can offer important implications for realising the economic and socio-environmental goals of Industry 5.0. For example, under extreme unpredictability of business world uncertainties, the business should first leverage the automation and integration capabilities of Industry 4.0 to gain the necessary cost-saving, resource efficiency, risk management capability, and business antifragility that allow them to introduce sustainable innovation into their business model without jeopardising their survival. Various scenarios for empowering Industry 5.0 sustainability values identified in the present study offer important implications for knowledge and practice.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"6 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139917350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enterprise Architecture and IT Governance to Support the BizDevOps Approach: a Systematic Mapping Study","authors":"Guillermo Fuentes-Quijada, Francisco Ruiz-González, Angélica Caro","doi":"10.1007/s10796-024-10473-2","DOIUrl":"https://doi.org/10.1007/s10796-024-10473-2","url":null,"abstract":"<p>Current software development practices are transforming the governance and management of software projects with the objective of aligning software products/services with business needs, ensuring business continuity, optimizing resource allocation, and fostering strong stakeholder relationships. The innovative BizDevOps approach has emerged as a response to these challenges, since it extends DevOps by incorporating an additional cycle and involving non-IT stakeholders with a focus on business-IT alignment. The application of IT Governance practices is crucial as regards ensuring the success of complex BizDevOps projects, and this paper, therefore, presents a systematic mapping study that explores the approaches for BizDevOps and encourages DevOps proposals that will seamlessly integrate with the business lifecycle. It examines the support provided by IT Governance practices and investigates the potential roles of Enterprise Architecture. The study analyzed 86 primary studies and 11 secondary studies, revealing a lack of empirical validations and a prevalence of recommendation-oriented papers without concrete solution proposals. These findings highlight the need for further research with which to validate BizDevOps practices and provide actionable insights.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"91 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139915947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Making Sense of AI Benefits: A Mixed-method Study in Canadian Public Administration","authors":"Rohit Madan, Mona Ashok","doi":"10.1007/s10796-024-10475-0","DOIUrl":"https://doi.org/10.1007/s10796-024-10475-0","url":null,"abstract":"<p>Public administrators receive conflicting signals on the transformative benefits of Artificial Intelligence (AI) and the counternarratives of AI’s ethical impacts on society and democracy. Against this backdrop, this paper explores the factors that affect the sensemaking of AI benefits in Canadian public administration. A mixed-method research design using PLS-SEM (<i>n</i> = 272) and interviews (<i>n</i> = 38) tests and explains the effect of institutional and consultant pressures on the perceived benefits of AI use. The quantitative study shows only service coercive pressures have a significant effect on perceived benefits of AI use and consultant pressures are significant in generating all institutional pressures. The qualitative study explains the results and highlights the underlying mechanisms. The key conclusion is that in the earlier stages of AI adoption, demand pull is the main driver rather than technology push. A processual sensemaking model is developed extending the theory on institutions and sensemaking. And several managerial implications are discussed.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"21 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139917244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Speeding up Explorative BPM with Lightweight IT: the Case of Machine Learning","authors":"Casper Solheim Bojer, Bendik Bygstad, Egil Øvrelid","doi":"10.1007/s10796-024-10474-1","DOIUrl":"https://doi.org/10.1007/s10796-024-10474-1","url":null,"abstract":"<p>In the modern digital age, companies need to be able to quickly explore the process innovation affordances of digital technologies. This includes exploration of Machine Learning (ML), which when embedded in processes can augment or automate decisions. BPM research suggests using lightweight IT (Bygstad, <i>Journal of Information Technology, 32</i>(2), 180–193 2017) for digital process innovation, but existing research provides conflicting views on whether ML is lightweight or heavyweight. We therefore address the research question <i>“How can Lightweight IT contribute to explorative BPM for embedded ML?”</i> by analyzing four action cases from a large Danish manufacturer. We contribute to explorative BPM by showing that lightweight ML considerably speeds up opportunity assessment and technical implementation in the exploration process thus reducing process innovation latency. We furthermore show that succesful lightweight ML requires the presence of two enabling factors: 1) loose coupling of the IT infrastructure, and 2) extensive use of building blocks to reduce custom development.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"18 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139739535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analytic Processing in Data Lakes: A Semantic Query-Driven Discovery Approach","authors":"Claudia Diamantini, Domenico Potena, Emanuele Storti","doi":"10.1007/s10796-024-10471-4","DOIUrl":"https://doi.org/10.1007/s10796-024-10471-4","url":null,"abstract":"<p>Data integration and discovery are open issues in Data Lakes potentially storing hundreds of data sources. The present paper addresses these issues targeting multidimensional data sources, that is sources containing atomic or derived measures aggregated along a number of dimensions, typically derived from raw data for analytical and reporting purposes. Combining semantic models of metadata with existing data-driven techniques, the paper proposes an approach for the discovery of mappings between source metadata and concepts in a reference knowledge graph, enabling the definition of reasoning-based techniques to discover, integrate, and rank data sources relevant to a given analytical query. The efficiency and effectiveness of the approach is discussed by means of experiments on real-world scenarios.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"254 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139739460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Multi-Criteria Decision-Making Framework to Evaluate the Impact of Industry 5.0 Technologies: Case Study, Lessons Learned, Challenges and Future Directions","authors":"Mohamed Abdel-Basset, Rehab Mohamed, Victor Chang","doi":"10.1007/s10796-024-10472-3","DOIUrl":"https://doi.org/10.1007/s10796-024-10472-3","url":null,"abstract":"<p>Smart technologies have demonstrated striking outcomes regarding the early diagnosis of diseases and the delivery of the necessary healthcare in the last decade. However, by emphasizing the core fundamentals of social justice and sustainability, together with digitalization and smart technologies that predicate raising productivity and flexibility, Industry 5.0 has proven to achieve more efficient results. Industry 5.0 technologies provide more intelligent ways for human employees and higher efficiency development while also improving safety and performance in many applications. In this research, the contribution is focused on the healthcare and how Industry 5.0 technologies demonstrate several advantages for the healthcare sector, starting with automated and precise disease prediction, moving on to aiding medical personnel in continual surveillance and monitoring and concluding with successful digital automation of smart equipment. The objective of this study is to apply a hybrid multi-criteria decision-making approach under a neutrosophic environment to evaluate the advantages of industry 5.0 technologies in the healthcare sector. Industry 5.0 primary value is to reach human-centric, sustainable, and resilient industries. While Industry 5.0 technologies sub-values regarding the healthcare sector are determined and distinguished according to the 3-main values mentioned previously based on literature. The methodologies applied in this study are: The Analytical Hierarchy approach (AHP) evaluates the main values and sub-values. Subsequently, the effectiveness of industry 5.0 technologies according to their values to the healthcare sector are ranked by Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The approach is constructed under uncertainty based on a neutrosophic environment to achieve accuracy in the evaluation process. The results show that the most influential technology in healthcare are AI and cloud computing, while nano-technology, drone technology, and robots are at the end of the ranking. While validating the suggested technique, outcome comparisons were carried out to demonstrate the benefits of the methodologies. A sensitivity study indicates that adjusting the weightings of the sub-values has no significant effect on the ranking of technologies.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"15 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139710660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mining Data Wrangling Workflows for Design Patterns Discovery and Specification","authors":"Abdullah AlMasaud, Sandra Sampaio, Pedro Sampaio","doi":"10.1007/s10796-023-10458-7","DOIUrl":"https://doi.org/10.1007/s10796-023-10458-7","url":null,"abstract":"<p>In this paper, we investigate Data Wrangling (DW) pipelines in the form of workflows devised by data analysts with varying levels of experience to find commonalities or patterns. We propose an approach for pattern discovery based on workflow mining techniques, addressing key challenges associated with finding patterns in data preparation solutions. The findings provide insights into the most commonly used DW operations, solution patterns, redundancies, and reuse opportunities in data preparation. The findings were used to create design pattern specifications curated into a catalog in the form of a DW Design Patterns Handbook. The evaluation of the proposed handbook is performed by surveying professionals with results confirming the usefulness of discovered patterns to the construction of DW solutions and assisting data analysts/scientists via the reuse of patterns and best practices in DW.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"119 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139655776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visualization of Digital Transformation Initiatives Elements through ArchiMate Viewpoints","authors":"","doi":"10.1007/s10796-023-10469-4","DOIUrl":"https://doi.org/10.1007/s10796-023-10469-4","url":null,"abstract":"<h3>Abstract</h3> <p>Digital transformation stems from a mix of personal and corporate IT environments and involves integrating digital technologies and business processes in a digital economy. As such, organizations expect that digital transformation improves performance, increases their reach, and ensures better business results. However, there is still a lack of (i) conceptual models to provide an accurate representation of the digital transformation elements; and (ii) standard visualizations of such elements to specific stakeholders. In a previous work, a reference model to support digital transformation initiatives using ArchiMate was proposed. In this paper, we address the second part of this problem regarding the need for specific visualizations. We followed the Design Science Research approach to learn how to identify the needs of the stakeholders, extending and improving the reference model through the design of a set of architectural viewpoints. We used the well-known ArchiSurance case to demonstrate the application of the viewpoints and semi-structured interviews to evaluate the proposal, providing insights to the discussion of the results obtained.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"6 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139565692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Have a Nice Flight! Understanding the Interplay Between Topics and Emotions in Reviews of Luxury Airlines in the Pre- and Post-Covid-19 Periods","authors":"","doi":"10.1007/s10796-023-10465-8","DOIUrl":"https://doi.org/10.1007/s10796-023-10465-8","url":null,"abstract":"<h3>Abstract</h3> <p>Few studies assessed the impact of Covid-19 on the aviation industry from the passengers’ perspective. This study examined how airline passengers’ emotions (positive and negative) and sub-emotions (joy, trust, surprise, anticipation, fear, sadness, anger, and disgust) changed in the pre-and post-Covid-19 periods. 21,463 reviews from 2014–2022 of top 10 luxury airlines were extracted from Skytrax. Using the lens of the Appraisal Theory of Emotion, the analysis revealed an increase in negative emotion and related sub-emotions after the pandemic. Using topic modeling seven similar topics (namely food, staff, customer service, board, flight, crew, and luggage) and four dissimilar topics (entertainment and drink for pre-Covid-19 and wait and Covid-19 for post-Covid-19) were identified. Regression analysis showed that the topics food and entertainment generated significant positive emotion whereas wait and customer service generated significant negative emotion. The results would help the luxury airlines to identify offerings to improve during the recovery after Covid-19.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"116 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139565610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond Borders: Evaluating the Impact of Health Information Exchange on Resource Utilization in the United Arab Emirates – A Longitudinal Study","authors":"Atif Al Braiki, Hamed Ali Al Hashemi, Robert Denson, Sanji de Sylva, Ehab M. Fikry, Rahul Goyal, Bisera Lakinska, Niam Yaraghi","doi":"10.1007/s10796-024-10470-5","DOIUrl":"https://doi.org/10.1007/s10796-024-10470-5","url":null,"abstract":"<p>The body of knowledge on the benefits of Health Information Exchange (HIE) services primarily consists of studies that are conducted on HIEs in the US. The important legal and economic differences between the US market and the rest of the world, significantly reduce the generalizability of the current insights on HIEs. In this research we intend to examine if the HIE adoption and usage would lead to substantial changes in resource utilization in settings outside of the US, hence improving the generalizability and external validity of the literature on HIE effectiveness. We conducted a longitudinal study of all medical providers in Abu Dhabi, United Arab Emirates between January 2019, and May 2022. Using HIE system log data, and insurance claims data we implemented Difference-in-Differences models to estimate the impact of HIE adoption reducing utilization of laboratory and pathology, and radiology imaging services as well as surgery procedures at both individual clinician and hospital levels. We further implemented panel data regression models to estimate the gradual increase in the benefits of HIE for users. On average, at the hospital level, adoption of HIE services has resulted in 24.7% reduction in pathology and laboratory orders, and 11.2% reduction in radiology imaging. At the clinician level, on average, HIE adoption leads to 7.8% reduction in pathology and laboratory orders, and 5.6% reduction in surgery procedures. These reductions are relative to the predicted increase in outcomes which would have occurred had the HIE not been implemented. We also show that the benefits of HIE happens gradually over time and as users gain more experience with the HIE, they observe better results. While our findings are consistent with the prior literature and show that HIE adoption significantly reduces the utilization of medical services, we uncover that the magnitude of these savings are different from those in the US.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"26 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139565631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}