Business & Information Systems Engineering最新文献_第5页

A Survey on Association Rule Mining for Enterprise Architecture Model Discovery 企业架构模型发现的关联规则挖掘调查

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2023-12-21 DOI: 10.1007/s12599-023-00844-5

{"title":"A Survey on Association Rule Mining for Enterprise Architecture Model Discovery","authors":"","doi":"10.1007/s12599-023-00844-5","DOIUrl":"https://doi.org/10.1007/s12599-023-00844-5","url":null,"abstract":"<h3>Abstract</h3> <p>Association Rule Mining (ARM) is a field of data mining (DM) that attempts to identify correlations among database items. It has been applied in various domains to discover patterns, provide insight into different topics, and build understandable, descriptive, and predictive models. On the one hand, Enterprise Architecture (EA) is a coherent set of principles, methods, and models suitable for designing organizational structures. It uses viewpoints derived from EA models to express different concerns about a company and its IT landscape, such as organizational hierarchies, processes, services, applications, and data. EA mining is the use of DM techniques to obtain EA models. This paper presents a literature review to identify the newest and most cited ARM algorithms and techniques suitable for EA mining that focus on automating the creation of EA models from existent data in application systems and services. It systematically identifies and maps fourteen candidate algorithms into four categories useful for EA mining: (i) General Frequent Pattern Mining, (ii) High Utility Pattern Mining, (iii) Parallel Pattern Mining, and (iv) Distribute Pattern Mining. Based on that, it discusses some possibilities and presents an exemplification with a prototype hypothesizing an ARM application for EA mining.</p>","PeriodicalId":55296,"journal":{"name":"Business & Information Systems Engineering","volume":"2 1","pages":""},"PeriodicalIF":7.9,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138824563","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}

引用次数: 0

SJORS: A Semantic Recommender System for Journalists SJORS：记者语义推荐系统

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2023-12-21 DOI: 10.1007/s12599-023-00843-6

Ángel Luis Garrido, Maria Soledad Pera, Carlos Bobed

引用次数: 0

The Structuring of Enterprise Architecture Functions in Organizations 组织中企业架构功能的构建

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2023-12-21 DOI: 10.1007/s12599-023-00845-4

Svyatoslav Kotusev, Sherah Kurnia, Rod Dilnutt, Rogier van de Wetering

引用次数: 0

Self-learning Agents for Recommerce Markets 再商业市场的自学习代理

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2023-11-27 DOI: 10.1007/s12599-023-00841-8

Jan Groeneveld, Judith Herrmann, Nikkel Mollenhauer, Leonard Dreeßen, Nick Bessin, Johann Schulze Tast, Alexander Kastius, Johannes Huegle, Rainer Schlosser

{"title":"Self-learning Agents for Recommerce Markets","authors":"Jan Groeneveld, Judith Herrmann, Nikkel Mollenhauer, Leonard Dreeßen, Nick Bessin, Johann Schulze Tast, Alexander Kastius, Johannes Huegle, Rainer Schlosser","doi":"10.1007/s12599-023-00841-8","DOIUrl":"https://doi.org/10.1007/s12599-023-00841-8","url":null,"abstract":"<p>Nowadays, customers as well as retailers look for increased sustainability. Recommerce markets – which offer the opportunity to trade-in and resell used products – are constantly growing and help to use resources more efficiently. To manage the additional prices for the trade-in and the resale of used product versions challenges retailers as substitution and cannibalization effects have to be taken into account. An unknown customer behavior as well as competition with other merchants regarding both sales and buying back resources further increases the problem’s complexity. Reinforcement learning (RL) algorithms offer the potential to deal with such tasks. However, before being applied in practice, self-learning algorithms need to be tested synthetically to examine whether they and which work in different market scenarios. In the paper, the authors evaluate and compare different state-of-the-art RL algorithms within a recommerce market simulation framework. They find that RL agents outperform rule-based benchmark strategies in duopoly and oligopoly scenarios. Further, the authors investigate the competition between RL agents via self-play and study how performance results are affected if more or less information is observable (cf. state components). Using an ablation study, they test the influence of various model parameters and infer managerial insights. Finally, to be able to apply self-learning agents in practice, the authors show how to calibrate synthetic test environments from observable data to be used for effective pre-training.</p>","PeriodicalId":55296,"journal":{"name":"Business & Information Systems Engineering","volume":"29 34","pages":""},"PeriodicalIF":7.9,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138503005","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}

引用次数: 0

The Impact of Resource Allocation on the Machine Learning Lifecycle 资源分配对机器学习生命周期的影响

3区管理学

Business & Information Systems Engineering Pub Date : 2023-11-14 DOI: 10.1007/s12599-023-00842-7

Sebastian Duda, Peter Hofmann, Nils Urbach, Fabiane Völter, Amelie Zwickel

{"title":"The Impact of Resource Allocation on the Machine Learning Lifecycle","authors":"Sebastian Duda, Peter Hofmann, Nils Urbach, Fabiane Völter, Amelie Zwickel","doi":"10.1007/s12599-023-00842-7","DOIUrl":"https://doi.org/10.1007/s12599-023-00842-7","url":null,"abstract":"Abstract An organization’s ability to develop Machine Learning (ML) applications depends on its available resource base. Without awareness and understanding of all relevant resources as well as their impact on the ML lifecycle, we risk inefficient allocations as well as missing monopolization tendencies. To counteract these risks, the study develops a framework that interweaves the relevant resources with the procedural and technical dependencies within the ML lifecycle. To rigorously develop and evaluate this framework the paper follows the Design Science Research paradigm and builds on a literature review and an interview study. In doing so, it bridges the gap between the software engineering and management perspective to advance the ML management discourse. The results extend the literature by introducing not yet discussed but relevant resources, describing six direct and indirect effects of resources on the ML lifecycle, and revealing the resources’ contextual properties. Furthermore, the framework is useful in practice to support organizational decision-making and contextualize monopolization tendencies.","PeriodicalId":55296,"journal":{"name":"Business & Information Systems Engineering","volume":"17 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134955768","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}

引用次数: 0

A Data Quality Multidimensional Model for Social Media Analysis 社交媒体分析的数据质量多维模型

3区管理学

Business & Information Systems Engineering Pub Date : 2023-11-10 DOI: 10.1007/s12599-023-00840-9

María José Aramburu, Rafael Berlanga, Indira Lanza-Cruz

{"title":"A Data Quality Multidimensional Model for Social Media Analysis","authors":"María José Aramburu, Rafael Berlanga, Indira Lanza-Cruz","doi":"10.1007/s12599-023-00840-9","DOIUrl":"https://doi.org/10.1007/s12599-023-00840-9","url":null,"abstract":"Abstract Social media platforms have become a new source of useful information for companies. Ensuring the business value of social media first requires an analysis of the quality of the relevant data and then the development of practical business intelligence solutions. This paper aims at building high-quality datasets for social business intelligence (SoBI). The proposed method offers an integrated and dynamic approach to identify the relevant quality metrics for each analysis domain. This method employs a novel multidimensional data model for the construction of cubes with impact measures for various quality metrics. In this model, quality metrics and indicators are organized in two main axes. The first one concerns the kind of facts to be extracted, namely: posts, users, and topics. The second axis refers to the quality perspectives to be assessed, namely: credibility, reputation, usefulness, and completeness. Additionally, quality cubes include a user-role dimension so that quality metrics can be evaluated in terms of the user business roles. To demonstrate the usefulness of this approach, the authors have applied their method to two separate domains: automotive business and natural disasters management. Results show that the trade-off between quantity and quality for social media data is focused on a small percentage of relevant users. Thus, data filtering can be easily performed by simply ranking the posts according to the quality metrics identified with the proposed method. As far as the authors know, this is the first approach that integrates both the extraction of analytical facts and the assessment of social media data quality in the same framework.","PeriodicalId":55296,"journal":{"name":"Business & Information Systems Engineering","volume":"114 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135138402","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}

引用次数: 0

The Future of Enterprise Information Systems 企业信息系统的未来

3区管理学

Business & Information Systems Engineering Pub Date : 2023-10-30 DOI: 10.1007/s12599-023-00839-2

Ali Sunyaev, Tobias Dehling, Susanne Strahringer, Li Da Xu, Martin Heinig, Michael Perscheid, Rainer Alt, Matti Rossi

引用次数: 0

The Power of Ethics: Uncovering Technology Risks and Positive Value Potentials in IT Innovation Planning 伦理的力量:揭露IT创新规划中的技术风险和积极价值潜力

3区管理学

Business & Information Systems Engineering Pub Date : 2023-10-19 DOI: 10.1007/s12599-023-00837-4

Kathrin Bednar, Sarah Spiekermann

{"title":"The Power of Ethics: Uncovering Technology Risks and Positive Value Potentials in IT Innovation Planning","authors":"Kathrin Bednar, Sarah Spiekermann","doi":"10.1007/s12599-023-00837-4","DOIUrl":"https://doi.org/10.1007/s12599-023-00837-4","url":null,"abstract":"Abstract The digital transformation of the economy is accelerating companies’ engagement in information technology (IT) innovation. To anticipate which technologies will become relevant over time and integrate them in their innovation plans, companies often rely on product roadmaps as strategic tools. However, ethical issues resulting from ubiquitous IT use have shown the need to accommodate hyped technical advancements in information systems (IS) design and acknowledge human values with moral relevance. Scholars have argued that this moral relevance can only come from an ethical framework. The empirical study presented here investigates whether the three ethical theories of utilitarianism, virtue ethics, and deontology can complement traditional innovation planning approaches. The mixed-method study covers three IT products – a digital toy, a food-delivery app and a telemedicine system. The results reveal that the three ethical theories boost creativity around values and enrich IT innovation planning by supporting the acknowledgment of more and higher value principles (e.g., freedom or personal growth), more diverse value classes (e.g., individual and social values) as well as more original values (e.g., human contact) in system design. What is more, participants identify and mitigate potential social and ethical issues associated with the IT product. Against this background, the findings in this paper suggest that a “value-based roadmapping” approach could be a vital stimulus for future IT innovation planning.","PeriodicalId":55296,"journal":{"name":"Business & Information Systems Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135732304","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}

引用次数: 0

Ranking the Ranker: How to Evaluate Institutions, Researchers, Journals, and Conferences? 排名:如何评估机构、研究人员、期刊和会议?

3区管理学

Business & Information Systems Engineering Pub Date : 2023-10-16 DOI: 10.1007/s12599-023-00836-5

Wil M. P. van der Aalst, Oliver Hinz, Christof Weinhardt

引用次数: 0

Challenges and Outcomes Using Big Data as a Service 使用大数据作为服务的挑战和结果

3区管理学

Business & Information Systems Engineering Pub Date : 2023-10-04 DOI: 10.1007/s12599-023-00835-6

Gautam Srivastava, Christoph M. Flath, Jerry Chun-Wei Lin, Yu-Dong Zhang

引用次数: 0