Process standardization: the driving factor for bringing artificial intelligence and management analytics to SMEs

被引:2
作者
Silva, Joaquim P. [1 ]
Goncalves, Joaquim [1 ]
机构
[1] IPCA, Sch Technol, 2Ai, Barcelos, Portugal
来源
2022 10TH INTERNATIONAL SYMPOSIUM ON DIGITAL FORENSICS AND SECURITY (ISDFS) | 2022年
关键词
artificial intelligence; process standardization; data standards; management analytics; small and medium enterprises; BUSINESS INTELLIGENCE; SYSTEMS;
D O I
10.1109/ISDFS55398.2022.9800804
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Information Technology (IT) use is continuously broadening to new domains and applying to different applications. Today, Artificial Intelligence (AI) and management analytics are two of the most promising technologies that are being embedded into many applications. However, using AI and management analytics to solve specific problems and support decision-making requires custom developments and specialized personnel, which are not easily reachable for SMEs. In this paper, we argue that the standardization of processes will allow the integration of AI and management analytics capabilities into the IT business applications used by SMEs. This paper identifies three relevant drivers that are powering process standardization in SMEs. This thesis is backed by an analysis of IT trends and the discussion of distinct views about the use of AI and management analytics.
引用
收藏
页数:5
相关论文
共 39 条
  • [11] Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential
    Canhoto, Ana Isabel
    Clear, Fintan
    [J]. BUSINESS HORIZONS, 2020, 63 (02) : 183 - 193
  • [12] The diffusion stages of business intelligence & analytics (BI&A): A systematic mapping study
    Corte-Real, Nadine
    Ruivo, Pedro
    Oliveira, Tiago
    [J]. CENTERIS 2014 - CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS / PROJMAN 2014 - INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT / HCIST 2014 - INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, 2014, 16 : 172 - 179
  • [13] Using Blockchain to Implement Traceability on Fishery Value Chain
    Cruz, Estrela Ferreira
    Rosado da Cruz, Antonio Miguel
    [J]. ICSOFT: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON SOFTWARE TECHNOLOGIES, 2020, : 501 - 508
  • [14] Davenport TH, 2006, HARVARD BUS REV, V84, P98
  • [15] From analytics to artificial intelligence
    Davenport T.H.
    [J]. Davenport, Thomas H. (tdavenport@babson.edu), 2018, Taylor and Francis Ltd. (01) : 73 - 80
  • [16] European Commision, 2003, OFF J EUR UNION, V46, P36, DOI [https://doi.org/10.1093/nq/s10-I.5.88-c, DOI 10.1017/CBO9781107415324.004]
  • [17] European Commission, 2021, EUR DIG DEC DIG EMP
  • [18] Fleig Christian, 2018, P INT C BUSINESS PRO, P149
  • [19] Performance measurement systems in SMEs: A review for a research agenda
    Garengo, P
    Biazzo, S
    Bititci, US
    [J]. INTERNATIONAL JOURNAL OF MANAGEMENT REVIEWS, 2005, 7 (01) : 25 - 47
  • [20] Haddara M., PROCEDIA COMPUTER SC, V196, P973