2022 IEEE 24th Conference on Business Informatics (CBI)最新文献_第4页

Understanding Interdependencies among Fog System Characteristics 了解雾系统特性之间的相互依赖关系

2022 IEEE 24th Conference on Business Informatics (CBI) Pub Date : 2022-06-01 DOI: 10.1109/CBI54897.2022.00021

Maximilian Blume, S. Lins, Ali Sunvaev

{"title":"Understanding Interdependencies among Fog System Characteristics","authors":"Maximilian Blume, S. Lins, Ali Sunvaev","doi":"10.1109/CBI54897.2022.00021","DOIUrl":"https://doi.org/10.1109/CBI54897.2022.00021","url":null,"abstract":"Fog computing adds decentralized computing, storage, and networking capabilities with dedicated nodes as an intermediate layer between cloud data centers and edge devices to solve latency, bandwidth, and resilience issues. However, in-troducing a fog layer imposes new system design challenges. Fog systems not only exhibit a multitude of key system characteristics (e.g., security, resilience, interoperability) but are also beset with various interdependencies among their key characteristics that require developers' attention. Such interdependencies can either be trade-offs with improving the fog system on one characteristic impairing it on another, or synergies with improving the system on one characteristic also improving it on another. As system developers face a multifaceted and complex set of potential system design measures, it is challenging for them to oversee all potentially resulting interdependencies, mitigate trade-offs, and foster synergies. Until now, existing literature on fog system architecture has only analyzed such interdependencies in isolation for specific characteristics, thereby limiting the applicability and generalizability of their proposed system designs if other than the considered characteristics are critical. We aim to fill this gap by conducting a literature review to (1) synthesize the most relevant characteristics of fog systems and design measures to achieve them, and (2) derive interdependences among all key characteristics. From reviewing 147 articles on fog system architectures, we reveal 11 key characteristics and 39 interdependencies. We supplement the key characteristics with a description, reason for their relevance, and related design measures derived from literature to deepen the understanding of a fog system's potential and clarify semantic ambiguities. For the interdependencies, we explain and differentiate each one as positive (synergies) or negative (trade-offs), guiding practitioners and researchers in future design choices to avoid pitfalls and unleash the full potential of fog computing.","PeriodicalId":447040,"journal":{"name":"2022 IEEE 24th Conference on Business Informatics (CBI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125289733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Trust and its Extensions in Digital Platform Ecosystems: Key Concepts and Issues for Future Research 数字平台生态系统中的信任及其扩展:未来研究的关键概念和问题

2022 IEEE 24th Conference on Business Informatics (CBI) Pub Date : 2022-06-01 DOI: 10.1109/CBI54897.2022.10042

Sebastian Reiners

{"title":"Trust and its Extensions in Digital Platform Ecosystems: Key Concepts and Issues for Future Research","authors":"Sebastian Reiners","doi":"10.1109/CBI54897.2022.10042","DOIUrl":"https://doi.org/10.1109/CBI54897.2022.10042","url":null,"abstract":"Trust in the digital environment is essential to overcome the uncertainty and asymmetric information distribution present in digital interactions. The presence of trust enables a measurement basis for the credibility of interaction in digital services such as Facebook, Airbnb, or Uber. However, developments such as the Cambridge Analytica scandal have disrupted the trust relationship with service providers and digital platforms. In a setting where verifiability is not always given and is often defined by a high degree of anonymity, trust significantly increases the likelihood of interaction. The literature on trust, its antecedents, and extensions are rather diverse and, so far, there is a lack of works that conceptualize trust in the context of digital platforms and digital platform ecosystems. Thus, this paper summarizes essential concepts of trust in platform ecosystems and discusses critical issues. I show that trust between members of a platform and trust towards the platform provider are well-established concepts in the literature studied. However, other concepts such as distrust have not been extensively studied but represent exciting areas for future research.","PeriodicalId":447040,"journal":{"name":"2022 IEEE 24th Conference on Business Informatics (CBI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114780554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Global System for Avalanche Risk Assessment 雪崩风险评估的全球系统

2022 IEEE 24th Conference on Business Informatics (CBI) Pub Date : 2022-06-01 DOI: 10.1109/CBI54897.2022.10049

F. Pagnier, Frédéric Pourraz, H. Verjus, D. Coquin, G. Mauris

{"title":"A Global System for Avalanche Risk Assessment","authors":"F. Pagnier, Frédéric Pourraz, H. Verjus, D. Coquin, G. Mauris","doi":"10.1109/CBI54897.2022.10049","DOIUrl":"https://doi.org/10.1109/CBI54897.2022.10049","url":null,"abstract":"Several decision-support methods exist to assist ski touring practitioners in their choice of the safest possible route to take. This paper proposes approaches to solve two different challenges presented by decision-support methods: 1) the description and assessment of the parameters used in the methods and 2) the combination of the parameters into a final result. Specifically, this paper focuses on recent avalanche observations. Indeed, this parameter is a particularly effective indicator of the current danger level and is considered in several decision-support methods but is not well formalized yet. The developed process, based on unsupervised statistical analysis and machine learning methods, evaluates both the weather trends and the criticality of different areas. It aims to positively impact and improve the assessment of this parameter in the existing methods. Further, this paper presents a global system based on fuzzy logic and developed to combine all parameters into a final result. We have constructed this system in collaboration with a domain expert and applied it to the CRISTAL approach, one of the existing decision-support methods, whose final result is the vigilance mode to adopt when practicing ski touring.","PeriodicalId":447040,"journal":{"name":"2022 IEEE 24th Conference on Business Informatics (CBI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116917275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Organizing Committee: CBI 2022 组委会:CBI 2022

2022 IEEE 24th Conference on Business Informatics (CBI) Pub Date : 2022-06-01 DOI: 10.1109/cbi54897.2022.00006

引用次数: 0

Easing the use of smart contracts through model-based engineering 通过基于模型的工程简化智能合约的使用

2022 IEEE 24th Conference on Business Informatics (CBI) Pub Date : 2022-06-01 DOI: 10.1109/CBI54897.2022.10058

Cristian Gómez Macías, J. M. Vara, F. J. P. Blanco, E. Marcos

引用次数: 0

Knowledge Graph Semantic Annotation and Population with Real-Time Events Data from GDELT 基于GDELT实时事件数据的知识图谱语义标注与填充

2022 IEEE 24th Conference on Business Informatics (CBI) Pub Date : 2022-06-01 DOI: 10.1109/CBI54897.2022.10050

Marc Gallofré Ocaña, Tareq Al-Moslmi, A. Opdahl

引用次数: 0

Data analytics and SMEs: how maturity improves performance 数据分析和中小企业:成熟度如何提高绩效

2022 IEEE 24th Conference on Business Informatics (CBI) Pub Date : 2022-06-01 DOI: 10.1109/CBI54897.2022.00011

J. Baijens, R. Helms, L. Bollen

{"title":"Data analytics and SMEs: how maturity improves performance","authors":"J. Baijens, R. Helms, L. Bollen","doi":"10.1109/CBI54897.2022.00011","DOIUrl":"https://doi.org/10.1109/CBI54897.2022.00011","url":null,"abstract":"The increasing generation of data has inspired many organizations to explore data using data analytics. Initially, mainly large organizations showed a keen interest, but more recently also small and medium-sized enterprises (SMEs) picked up on this trend. However, the use of data analytics to improve performance has several challenges for SMEs. For example, SMEs have fewer financial resources and knowledgeable staff who are familiar with data analytics. As SMEs play a significant role in the economy it is crucial that these disadvantages are mitigated. Still, many research gaps exist concerning the use of data analytics in SMEs. One of these gaps is the role of data analytics maturity on organizational performance. And more specifically, what dimensions should mature or what type of benefits are achieved by mature use of data analytics. Therefore, this study aims to measure SME's data analytics maturity through a maturity model and show if mature use of data analytics within SMEs is related with a positive impact on organizational performance. The study findings indicate that higher data analytics maturity is related to a positive impact on the organizational performance of SMEs. Specifically, the contribution of mature use of data analytics to SME performance is substantial after the awareness stage. Furthermore, the results suggest that the benefits for mature use of data analytics mainly stimulate the successful introduction of new products and services rather than other aspects of organizational performance.","PeriodicalId":447040,"journal":{"name":"2022 IEEE 24th Conference on Business Informatics (CBI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115803419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Supermarket customer segmentation: a case study in a large Brazilian retail chain 超市顾客细分:巴西一家大型零售连锁店的案例研究

2022 IEEE 24th Conference on Business Informatics (CBI) Pub Date : 2022-06-01 DOI: 10.1109/CBI54897.2022.00015

Wellerson V. Oliveira, Daniel S.A. Araújo, L. Bezerra

{"title":"Supermarket customer segmentation: a case study in a large Brazilian retail chain","authors":"Wellerson V. Oliveira, Daniel S.A. Araújo, L. Bezerra","doi":"10.1109/CBI54897.2022.00015","DOIUrl":"https://doi.org/10.1109/CBI54897.2022.00015","url":null,"abstract":"In order to obtain commercial advantages over competitors, companies in all segments are improving their customer relationship management (CRM). The supermarket segment is no different, and investments in CRM are increasing over the last years. The first step towards a successful CRM strategy is to know customers better, for which customer segmentation plays an important role. In this work, we segment customers from Nordestão, the third largest supermarket chain in the Northeast of Brazil. To do so, we adapt the recency-frequency-monetary model, enrich it with new features, and use Gaussian mixture models to cluster the data. Furthermore, we employ a well-established a priori segmentation from the Brazilian supermarket literature. Our segmentation considers stores individually, and for each store we further refine its a priori segments into customer groups, with each group representing a different customer profile. Among the most interesting are prime and opportunity customers, who respectively focus on high-end and on-sale products. Importantly, most of the behaviours are consistent across the different stores, varying only as to store-specific parameters. We conclude our work with a further algorithmic validation and interpretability analysis of our findings.","PeriodicalId":447040,"journal":{"name":"2022 IEEE 24th Conference on Business Informatics (CBI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123342804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How EA Information Drives Digital Transformation: A Multiple Case Study and Framework EA信息如何推动数字化转型:多案例研究和框架

2022 IEEE 24th Conference on Business Informatics (CBI) Pub Date : 2022-06-01 DOI: 10.1109/CBI54897.2022.00026

Frank Grave, R. V. D. Wetering, R. Kusters

{"title":"How EA Information Drives Digital Transformation: A Multiple Case Study and Framework","authors":"Frank Grave, R. V. D. Wetering, R. Kusters","doi":"10.1109/CBI54897.2022.00026","DOIUrl":"https://doi.org/10.1109/CBI54897.2022.00026","url":null,"abstract":"The ability to systematically anticipate changes in an increasingly complex environment has been referred to as dynamic capability. Therefore, dynamic capabilities contribute to successful digital transformations. Firms use information about the configuration of people, processes, and information technology-also known as an enterprise architecture (EA)-to enable digital transformation strategies. However, it is unclea r what EA information drives digital transformations from a dynamic capabilities perspective. Hence, we performed a multiple case study to identify the EA-information that drives the dynamic capability for digital transformations. 22 interviews, and the 36 documents we analyzed, were used to establish information inputs and outputs for an EA-driven dynamic capability. This study extends previous research on EA-driven dynamic capabilities with a framework of EA information driving the dynamic capability for digital transformations. Furthermore, decision-makers and enterprise architects of organizations can use our results to organize the information needed for an EA-driven dynamic capability.","PeriodicalId":447040,"journal":{"name":"2022 IEEE 24th Conference on Business Informatics (CBI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122308175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Innovating Smart Product-Service Systems in Manufacturing SMEs: Current Practices, Affordances, and Constraints 在制造业中小企业中创新智能产品服务系统:当前的实践、能力和约束

2022 IEEE 24th Conference on Business Informatics (CBI) Pub Date : 2022-06-01 DOI: 10.1109/CBI54897.2022.10046

D. Heinz, Hae-Rin Park, Carina Benz, G. Satzger

引用次数: 3