Business Ecosystem Profiling Visualization with Data Analytics: A Review

In business fields, an ecosystem, which is a shared environment consisting of organizations, individuals, resources, and technologies that are dynamically interconnected, is needed to provide and deliver emerging innovations and sustain competitive advantages. This article provides a thorough, syste...

Full description

Saved in:
Bibliographic Details
Published inComplex systems informatics and modeling quarterly no. 43; pp. 1 - 16
Main Authors Joseph, Minnu Helen, Kärri, Timo
Format Journal Article
LanguageEnglish
Published Riga Technical University Press 31.07.2025
Subjects
Business Ecosystem
Data Analytics
Ecosystem Frameworks
Profiling
Visualization
Online AccessGet full text
ISSN2255-9922
2255-9922
DOI10.7250/csimq.2025-43.01

Cover

Abstract In business fields, an ecosystem, which is a shared environment consisting of organizations, individuals, resources, and technologies that are dynamically interconnected, is needed to provide and deliver emerging innovations and sustain competitive advantages. This article provides a thorough, systematic, and structured review of several frameworks of business ecosystems and their functioning. It also covers how data analytics can enhance ecosystem profiling by integrating it into these frameworks. Additionally, by considering advanced methodologies, this article highlights how actionable insights can be gained in the different operations and applications, from market analysis to risk management. Also, this review showcases several visualization tools that can be used to view complicated ecosystem structures, which helps employers to explore, analyze, and visualize data effectively. Finally, the article discusses the strengths and weaknesses of these tools and also offers some insights that can enhance decision-making in the emerging trends in the business ecosystem.
AbstractList In business fields, an ecosystem, which is a shared environment consisting of organizations, individuals, resources, and technologies that are dynamically interconnected, is needed to provide and deliver emerging innovations and sustain competitive advantages. This article provides a thorough, systematic, and structured review of several frameworks of business ecosystems and their functioning. It also covers how data analytics can enhance ecosystem profiling by integrating it into these frameworks. Additionally, by considering advanced methodologies, this article highlights how actionable insights can be gained in the different operations and applications, from market analysis to risk management. Also, this review showcases several visualization tools that can be used to view complicated ecosystem structures, which helps employers to explore, analyze, and visualize data effectively. Finally, the article discusses the strengths and weaknesses of these tools and also offers some insights that can enhance decision-making in the emerging trends in the business ecosystem.
Author Joseph, Minnu Helen
Kärri, Timo
Author_xml – sequence: 1
  givenname: Minnu Helen
  orcidid: 0009-0002-1714-7933
  surname: Joseph
  fullname: Joseph, Minnu Helen
– sequence: 2
  givenname: Timo
  orcidid: 0000-0002-6659-1419
  surname: Kärri
  fullname: Kärri, Timo
BookMark eNpNkE1PAjEURRuDiYjsXfYPDL522pmpO0QUEhONUbfNox9YMszodJDgr3cAY9zcd_MWJzfnnPSqunKEXDIY5VzClYlh_TniwGUi0hGwE9LnXMpEKc57__oZGca4AgCWcpkC9MnsZhND5WKkU1PHXWzdmj41tQ9lqJb0LcQNluEb21BXdBvad3qLLdJxheWuDSZe0zF9dl_BbS_IqccyuuHvHZDXu-nLZJY8PN7PJ-OHxHDOWIIqs9wUzFpQFqTChTFM2dyid1IUnqciW4guXC6dKnjOup3eq4J5VIxDOiDzI9fWuNIfTVhjs9M1Bn141M1SY9NNK53OnSwyK4zKig6pioUUAJnNMRMWmcGOBUeWaeoYG-f_eAz0Xqw-iNV7sVqkutP2A87hba0
Cites_doi 10.1109/VL.1996.545307
10.1109/BigData.2018.8622001
10.1037/cep0000104
10.3390/su142013330
10.1002/smj.821
10.1108/JM2-11-2019-0274
10.1016/j.jsis.2009.01.002
10.1016/j.ijinfomgt.2021.102454
10.1504/IJTM.2014.064606
10.1109/EDOCW.2006.33
10.1007/978-4-431-55145-4_5
10.1109/ACCESS.2024.3377239
10.5465/amd.2020.0091
10.1561/1500000011
10.1186/s41469-018-0035-4
10.1101/gr.1239303
10.1007/978-1-4615-4651-1
10.1007/s10708-007-9111-y
10.1111/jbl.12010
10.1515/transcript.9783839423820.181
10.1016/j.is.2021.101846
10.1609/icwsm.v3i1.13937
10.47989/ir293603
10.1016/j.technovation.2020.102218
10.1111/jpim.12105
10.1016/B978-0-12-382229-1.00002-3
10.1051/shsconf/20208301008
10.1007/978-3-030-36479-3_11
10.1016/j.techfore.2019.07.004
10.3233/SW-233396
10.1007/978-3-658-45670-2_4
10.24251/HICSS.2020.702
10.1016/j.eswa.2016.08.041
10.1214/ss/1042727940
10.2139/ssrn.4963391
10.1177/0149206316678451
10.1177/014920639101700108
10.1016/j.dss.2023.114133
ContentType Journal Article
DBID AAYXX
CITATION
DOA
DOI 10.7250/csimq.2025-43.01
DatabaseName CrossRef
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
DatabaseTitleList
CrossRef
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Mathematics
EISSN 2255-9922
EndPage 16
ExternalDocumentID oai_doaj_org_article_7e586d4c968b4398b54006d7a64da1ca
10_7250_csimq_2025_43_01
GroupedDBID 5VS
AAYXX
ADBBV
ALMA_UNASSIGNED_HOLDINGS
BCNDV
CITATION
GROUPED_DOAJ
I-F
KQ8
M~E
OK1
TH9
TUS
ID FETCH-LOGICAL-c2211-a96d2c81dd09d059abcc19d7dafe548f2346b4346e75e98271530ff981fa91203
IEDL.DBID DOA
ISSN 2255-9922
IngestDate Wed Aug 27 01:24:23 EDT 2025
Wed Aug 06 19:16:07 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 43
Language English
License https://creativecommons.org/licenses/by/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c2211-a96d2c81dd09d059abcc19d7dafe548f2346b4346e75e98271530ff981fa91203
ORCID 0000-0002-6659-1419
0009-0002-1714-7933
OpenAccessLink https://doaj.org/article/7e586d4c968b4398b54006d7a64da1ca
PageCount 16
ParticipantIDs doaj_primary_oai_doaj_org_article_7e586d4c968b4398b54006d7a64da1ca
crossref_primary_10_7250_csimq_2025_43_01
PublicationCentury 2000
PublicationDate 2025-07-31
PublicationDateYYYYMMDD 2025-07-31
PublicationDate_xml – month: 07
  year: 2025
  text: 2025-07-31
  day: 31
PublicationDecade 2020
PublicationTitle Complex systems informatics and modeling quarterly
PublicationYear 2025
Publisher Riga Technical University Press
Publisher_xml – name: Riga Technical University Press
References 1415
1414
1413
1412
1411
1410
1419
1418
1417
1416
1396
1395
1394
1393
1392
1391
1426
1425
1424
1423
1422
1421
1420
1429
1428
1427
1440
1437
1436
1435
1434
1433
1399
1432
1398
1431
1397
1430
1439
1438
1404
1403
1447
1402
1446
1401
1445
1400
1444
1443
1442
1441
1409
1408
1407
1406
1405
References_xml – ident: 1432
  doi: 10.1109/VL.1996.545307
– ident: 1395
– ident: 1404
– ident: 1433
  doi: 10.1109/BigData.2018.8622001
– ident: 1400
  doi: 10.1037/cep0000104
– ident: 1440
  doi: 10.3390/su142013330
– ident: 1418
– ident: 1420
– ident: 1443
– ident: 1413
  doi: 10.1002/smj.821
– ident: 1424
– ident: 1391
– ident: 1426
  doi: 10.1108/JM2-11-2019-0274
– ident: 1405
  doi: 10.1016/j.jsis.2009.01.002
– ident: 1439
  doi: 10.1016/j.ijinfomgt.2021.102454
– ident: 1406
  doi: 10.1504/IJTM.2014.064606
– ident: 1414
  doi: 10.1109/EDOCW.2006.33
– ident: 1392
  doi: 10.1007/978-4-431-55145-4_5
– ident: 1410
  doi: 10.1109/ACCESS.2024.3377239
– ident: 1398
  doi: 10.5465/amd.2020.0091
– ident: 1430
  doi: 10.1561/1500000011
– ident: 1436
– ident: 1421
– ident: 1442
– ident: 1415
– ident: 1425
– ident: 1431
  doi: 10.1186/s41469-018-0035-4
– ident: 1429
– ident: 1397
– ident: 1409
  doi: 10.1101/gr.1239303
– ident: 1435
– ident: 1419
  doi: 10.1007/978-1-4615-4651-1
– ident: 1402
– ident: 1403
  doi: 10.1007/s10708-007-9111-y
– ident: 1422
  doi: 10.1111/jbl.12010
– ident: 1401
  doi: 10.1515/transcript.9783839423820.181
– ident: 1446
  doi: 10.1016/j.is.2021.101846
– ident: 1434
  doi: 10.1609/icwsm.v3i1.13937
– ident: 1411
  doi: 10.47989/ir293603
– ident: 1444
  doi: 10.1016/j.technovation.2020.102218
– ident: 1399
  doi: 10.1111/jpim.12105
– ident: 1437
  doi: 10.1016/B978-0-12-382229-1.00002-3
– ident: 1441
  doi: 10.1051/shsconf/20208301008
– ident: 1438
  doi: 10.1007/978-3-030-36479-3_11
– ident: 1396
  doi: 10.1016/j.techfore.2019.07.004
– ident: 1445
  doi: 10.3233/SW-233396
– ident: 1428
– ident: 1393
  doi: 10.1007/978-3-658-45670-2_4
– ident: 1407
– ident: 1417
  doi: 10.24251/HICSS.2020.702
– ident: 1416
  doi: 10.1016/j.eswa.2016.08.041
– ident: 1427
  doi: 10.1214/ss/1042727940
– ident: 1447
  doi: 10.2139/ssrn.4963391
– ident: 1412
  doi: 10.1177/0149206316678451
– ident: 1423
  doi: 10.1177/014920639101700108
– ident: 1408
  doi: 10.1016/j.dss.2023.114133
– ident: 1394
SSID ssj0001325300
Score 2.3031287
SecondaryResourceType review_article
Snippet In business fields, an ecosystem, which is a shared environment consisting of organizations, individuals, resources, and technologies that are dynamically...
SourceID doaj
crossref
SourceType Open Website
Index Database
StartPage 1
SubjectTerms Business Ecosystem
Data Analytics
Ecosystem Frameworks
Profiling
Visualization
Title Business Ecosystem Profiling Visualization with Data Analytics: A Review
URI https://doaj.org/article/7e586d4c968b4398b54006d7a64da1ca
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV25TgMxELUQFRSIU4RLLmgoTLxen3QBEkVIIAqC0q28PqQUJEDC_zO2kygdDe1qZa3erDzvjT1vELpmUVofFSNOB0O4qCIxQMxJapMMrWmFjtnt80UOR_xpLMYbo77SnbBiD1yA66ogtPTcGalbSJ66BYpBpVdWcm8rl6kRNXRDTOXqSs1ETWk5l1SQ5rtuPvn4Aj3IBOH17XIGzCoPbdj157wy2Ed7S0KIe-VDDtBWmB6i3ee1m-r8CA1Xt9Nx382K9TJ-zbO2Ie_g98k8NUaWdkqc6qr40S4sznYjaYE73MPlCOAYjQb9t4chWU5AII6BMiPWSM8cUEpPjQciZFvnKuOVtzGA1Iis5hJQ4TIoEYxmCvYvGqPRVbSmYrQ-QdvT2TScpt5s1XJQU45bwUEnaM-iAEhViK7y0nTQzQqP5rMYXTQgEBJ2TcauSdg1vG5o1UH3CbD1e8miOj-AwDXLwDV_Be7sPxY5Rzs5pLnYeoG2F98_4RJYwqK9yj_EL938uac
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Business+Ecosystem+Profiling+Visualization+with+Data+Analytics%3A+A+Review&rft.jtitle=Complex+systems+informatics+and+modeling+quarterly&rft.au=Minnu+Helen+Joseph&rft.au=Timo+K%C3%A4rri&rft.date=2025-07-31&rft.pub=Riga+Technical+University+Press&rft.eissn=2255-9922&rft.issue=43&rft_id=info:doi/10.7250%2Fcsimq.2025-43.01&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_7e586d4c968b4398b54006d7a64da1ca
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2255-9922&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2255-9922&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2255-9922&client=summon