Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry
Abstract Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformatio...
Ausführliche Beschreibung
Autor*in: |
Riasanow, Tobias [verfasserIn] |
---|
Format: |
Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2020 |
---|
Schlagwörter: |
---|
Anmerkung: |
© The Author(s) 2020 |
---|
Übergeordnetes Werk: |
Enthalten in: Electronic markets - Springer Berlin Heidelberg, 1991, 31(2020), 1 vom: 25. Feb., Seite 89-104 |
---|---|
Übergeordnetes Werk: |
volume:31 ; year:2020 ; number:1 ; day:25 ; month:02 ; pages:89-104 |
Links: |
---|
DOI / URN: |
10.1007/s12525-020-00407-6 |
---|
Katalog-ID: |
OLC212560292X |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | OLC212560292X | ||
003 | DE-627 | ||
005 | 20230505103858.0 | ||
007 | tu | ||
008 | 230505s2020 xx ||||| 00| ||eng c | ||
024 | 7 | |a 10.1007/s12525-020-00407-6 |2 doi | |
035 | |a (DE-627)OLC212560292X | ||
035 | |a (DE-He213)s12525-020-00407-6-p | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 380 |q VZ |
082 | 0 | 4 | |a 620 |q VZ |
084 | |a 3,2 |2 ssgn | ||
100 | 1 | |a Riasanow, Tobias |e verfasserin |0 (orcid)0000-0003-4256-3859 |4 aut | |
245 | 1 | 0 | |a Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry |
264 | 1 | |c 2020 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
338 | |a Band |b nc |2 rdacarrier | ||
500 | |a © The Author(s) 2020 | ||
520 | |a Abstract Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformation in five platform ecosystems: automotive, blockchain, financial, insurance, and IIoT. For our analysis, we combine the strengths of conceptual modeling using e3 value with a cluster analysis based on text mining to identify similarities in the respective ecosystems. As a result, we identified 15 clusters. Cluster 01 is the core cluster, containing the roles of organizations from all five ecosystems. Cluster 02–05 are intertwined, as they include roles from at least two ecosystems. Clusters 06–15 are ecosystem-specific that only include roles found in one ecosystem. Scholars and practitioners can use these clusters when analyzing or building a new platform ecosystem, or transforming a traditional ecosystem towards a platform ecosystem. | ||
650 | 4 | |a Platform ecosystem | |
650 | 4 | |a Ecosystem | |
650 | 4 | |a Digital transformation | |
650 | 4 | |a Ecosystem analysis | |
650 | 4 | |a Similarities | |
700 | 1 | |a Jäntgen, Lea |4 aut | |
700 | 1 | |a Hermes, Sebastian |4 aut | |
700 | 1 | |a Böhm, Markus |0 (orcid)0000-0003-2859-5651 |4 aut | |
700 | 1 | |a Krcmar, Helmut |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Electronic markets |d Springer Berlin Heidelberg, 1991 |g 31(2020), 1 vom: 25. Feb., Seite 89-104 |w (DE-627)193585847 |w (DE-600)1309988-7 |w (DE-576)062210572 |x 1019-6781 |7 nnns |
773 | 1 | 8 | |g volume:31 |g year:2020 |g number:1 |g day:25 |g month:02 |g pages:89-104 |
856 | 4 | 1 | |u https://doi.org/10.1007/s12525-020-00407-6 |z lizenzpflichtig |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_OLC | ||
912 | |a SSG-OLC-WIW | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_267 | ||
912 | |a GBV_ILN_2018 | ||
951 | |a AR | ||
952 | |d 31 |j 2020 |e 1 |b 25 |c 02 |h 89-104 |
author_variant |
t r tr l j lj s h sh m b mb h k hk |
---|---|
matchkey_str |
article:10196781:2020----::oenetieadcsseseiicutripafreoytmaayigiiaiisnhdgtlrnfrainfhatmtvb |
hierarchy_sort_str |
2020 |
publishDate |
2020 |
allfields |
10.1007/s12525-020-00407-6 doi (DE-627)OLC212560292X (DE-He213)s12525-020-00407-6-p DE-627 ger DE-627 rakwb eng 380 VZ 620 VZ 3,2 ssgn Riasanow, Tobias verfasserin (orcid)0000-0003-4256-3859 aut Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2020 Abstract Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformation in five platform ecosystems: automotive, blockchain, financial, insurance, and IIoT. For our analysis, we combine the strengths of conceptual modeling using e3 value with a cluster analysis based on text mining to identify similarities in the respective ecosystems. As a result, we identified 15 clusters. Cluster 01 is the core cluster, containing the roles of organizations from all five ecosystems. Cluster 02–05 are intertwined, as they include roles from at least two ecosystems. Clusters 06–15 are ecosystem-specific that only include roles found in one ecosystem. Scholars and practitioners can use these clusters when analyzing or building a new platform ecosystem, or transforming a traditional ecosystem towards a platform ecosystem. Platform ecosystem Ecosystem Digital transformation Ecosystem analysis Similarities Jäntgen, Lea aut Hermes, Sebastian aut Böhm, Markus (orcid)0000-0003-2859-5651 aut Krcmar, Helmut aut Enthalten in Electronic markets Springer Berlin Heidelberg, 1991 31(2020), 1 vom: 25. Feb., Seite 89-104 (DE-627)193585847 (DE-600)1309988-7 (DE-576)062210572 1019-6781 nnns volume:31 year:2020 number:1 day:25 month:02 pages:89-104 https://doi.org/10.1007/s12525-020-00407-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_24 GBV_ILN_267 GBV_ILN_2018 AR 31 2020 1 25 02 89-104 |
spelling |
10.1007/s12525-020-00407-6 doi (DE-627)OLC212560292X (DE-He213)s12525-020-00407-6-p DE-627 ger DE-627 rakwb eng 380 VZ 620 VZ 3,2 ssgn Riasanow, Tobias verfasserin (orcid)0000-0003-4256-3859 aut Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2020 Abstract Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformation in five platform ecosystems: automotive, blockchain, financial, insurance, and IIoT. For our analysis, we combine the strengths of conceptual modeling using e3 value with a cluster analysis based on text mining to identify similarities in the respective ecosystems. As a result, we identified 15 clusters. Cluster 01 is the core cluster, containing the roles of organizations from all five ecosystems. Cluster 02–05 are intertwined, as they include roles from at least two ecosystems. Clusters 06–15 are ecosystem-specific that only include roles found in one ecosystem. Scholars and practitioners can use these clusters when analyzing or building a new platform ecosystem, or transforming a traditional ecosystem towards a platform ecosystem. Platform ecosystem Ecosystem Digital transformation Ecosystem analysis Similarities Jäntgen, Lea aut Hermes, Sebastian aut Böhm, Markus (orcid)0000-0003-2859-5651 aut Krcmar, Helmut aut Enthalten in Electronic markets Springer Berlin Heidelberg, 1991 31(2020), 1 vom: 25. Feb., Seite 89-104 (DE-627)193585847 (DE-600)1309988-7 (DE-576)062210572 1019-6781 nnns volume:31 year:2020 number:1 day:25 month:02 pages:89-104 https://doi.org/10.1007/s12525-020-00407-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_24 GBV_ILN_267 GBV_ILN_2018 AR 31 2020 1 25 02 89-104 |
allfields_unstemmed |
10.1007/s12525-020-00407-6 doi (DE-627)OLC212560292X (DE-He213)s12525-020-00407-6-p DE-627 ger DE-627 rakwb eng 380 VZ 620 VZ 3,2 ssgn Riasanow, Tobias verfasserin (orcid)0000-0003-4256-3859 aut Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2020 Abstract Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformation in five platform ecosystems: automotive, blockchain, financial, insurance, and IIoT. For our analysis, we combine the strengths of conceptual modeling using e3 value with a cluster analysis based on text mining to identify similarities in the respective ecosystems. As a result, we identified 15 clusters. Cluster 01 is the core cluster, containing the roles of organizations from all five ecosystems. Cluster 02–05 are intertwined, as they include roles from at least two ecosystems. Clusters 06–15 are ecosystem-specific that only include roles found in one ecosystem. Scholars and practitioners can use these clusters when analyzing or building a new platform ecosystem, or transforming a traditional ecosystem towards a platform ecosystem. Platform ecosystem Ecosystem Digital transformation Ecosystem analysis Similarities Jäntgen, Lea aut Hermes, Sebastian aut Böhm, Markus (orcid)0000-0003-2859-5651 aut Krcmar, Helmut aut Enthalten in Electronic markets Springer Berlin Heidelberg, 1991 31(2020), 1 vom: 25. Feb., Seite 89-104 (DE-627)193585847 (DE-600)1309988-7 (DE-576)062210572 1019-6781 nnns volume:31 year:2020 number:1 day:25 month:02 pages:89-104 https://doi.org/10.1007/s12525-020-00407-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_24 GBV_ILN_267 GBV_ILN_2018 AR 31 2020 1 25 02 89-104 |
allfieldsGer |
10.1007/s12525-020-00407-6 doi (DE-627)OLC212560292X (DE-He213)s12525-020-00407-6-p DE-627 ger DE-627 rakwb eng 380 VZ 620 VZ 3,2 ssgn Riasanow, Tobias verfasserin (orcid)0000-0003-4256-3859 aut Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2020 Abstract Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformation in five platform ecosystems: automotive, blockchain, financial, insurance, and IIoT. For our analysis, we combine the strengths of conceptual modeling using e3 value with a cluster analysis based on text mining to identify similarities in the respective ecosystems. As a result, we identified 15 clusters. Cluster 01 is the core cluster, containing the roles of organizations from all five ecosystems. Cluster 02–05 are intertwined, as they include roles from at least two ecosystems. Clusters 06–15 are ecosystem-specific that only include roles found in one ecosystem. Scholars and practitioners can use these clusters when analyzing or building a new platform ecosystem, or transforming a traditional ecosystem towards a platform ecosystem. Platform ecosystem Ecosystem Digital transformation Ecosystem analysis Similarities Jäntgen, Lea aut Hermes, Sebastian aut Böhm, Markus (orcid)0000-0003-2859-5651 aut Krcmar, Helmut aut Enthalten in Electronic markets Springer Berlin Heidelberg, 1991 31(2020), 1 vom: 25. Feb., Seite 89-104 (DE-627)193585847 (DE-600)1309988-7 (DE-576)062210572 1019-6781 nnns volume:31 year:2020 number:1 day:25 month:02 pages:89-104 https://doi.org/10.1007/s12525-020-00407-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_24 GBV_ILN_267 GBV_ILN_2018 AR 31 2020 1 25 02 89-104 |
allfieldsSound |
10.1007/s12525-020-00407-6 doi (DE-627)OLC212560292X (DE-He213)s12525-020-00407-6-p DE-627 ger DE-627 rakwb eng 380 VZ 620 VZ 3,2 ssgn Riasanow, Tobias verfasserin (orcid)0000-0003-4256-3859 aut Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2020 Abstract Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformation in five platform ecosystems: automotive, blockchain, financial, insurance, and IIoT. For our analysis, we combine the strengths of conceptual modeling using e3 value with a cluster analysis based on text mining to identify similarities in the respective ecosystems. As a result, we identified 15 clusters. Cluster 01 is the core cluster, containing the roles of organizations from all five ecosystems. Cluster 02–05 are intertwined, as they include roles from at least two ecosystems. Clusters 06–15 are ecosystem-specific that only include roles found in one ecosystem. Scholars and practitioners can use these clusters when analyzing or building a new platform ecosystem, or transforming a traditional ecosystem towards a platform ecosystem. Platform ecosystem Ecosystem Digital transformation Ecosystem analysis Similarities Jäntgen, Lea aut Hermes, Sebastian aut Böhm, Markus (orcid)0000-0003-2859-5651 aut Krcmar, Helmut aut Enthalten in Electronic markets Springer Berlin Heidelberg, 1991 31(2020), 1 vom: 25. Feb., Seite 89-104 (DE-627)193585847 (DE-600)1309988-7 (DE-576)062210572 1019-6781 nnns volume:31 year:2020 number:1 day:25 month:02 pages:89-104 https://doi.org/10.1007/s12525-020-00407-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_24 GBV_ILN_267 GBV_ILN_2018 AR 31 2020 1 25 02 89-104 |
language |
English |
source |
Enthalten in Electronic markets 31(2020), 1 vom: 25. Feb., Seite 89-104 volume:31 year:2020 number:1 day:25 month:02 pages:89-104 |
sourceStr |
Enthalten in Electronic markets 31(2020), 1 vom: 25. Feb., Seite 89-104 volume:31 year:2020 number:1 day:25 month:02 pages:89-104 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Platform ecosystem Ecosystem Digital transformation Ecosystem analysis Similarities |
dewey-raw |
380 |
isfreeaccess_bool |
false |
container_title |
Electronic markets |
authorswithroles_txt_mv |
Riasanow, Tobias @@aut@@ Jäntgen, Lea @@aut@@ Hermes, Sebastian @@aut@@ Böhm, Markus @@aut@@ Krcmar, Helmut @@aut@@ |
publishDateDaySort_date |
2020-02-25T00:00:00Z |
hierarchy_top_id |
193585847 |
dewey-sort |
3380 |
id |
OLC212560292X |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC212560292X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230505103858.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230505s2020 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12525-020-00407-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC212560292X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s12525-020-00407-6-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">380</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">3,2</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Riasanow, Tobias</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-4256-3859</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2020</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformation in five platform ecosystems: automotive, blockchain, financial, insurance, and IIoT. For our analysis, we combine the strengths of conceptual modeling using e3 value with a cluster analysis based on text mining to identify similarities in the respective ecosystems. As a result, we identified 15 clusters. Cluster 01 is the core cluster, containing the roles of organizations from all five ecosystems. Cluster 02–05 are intertwined, as they include roles from at least two ecosystems. Clusters 06–15 are ecosystem-specific that only include roles found in one ecosystem. Scholars and practitioners can use these clusters when analyzing or building a new platform ecosystem, or transforming a traditional ecosystem towards a platform ecosystem.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Platform ecosystem</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ecosystem</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Digital transformation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ecosystem analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Similarities</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jäntgen, Lea</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hermes, Sebastian</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Böhm, Markus</subfield><subfield code="0">(orcid)0000-0003-2859-5651</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Krcmar, Helmut</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Electronic markets</subfield><subfield code="d">Springer Berlin Heidelberg, 1991</subfield><subfield code="g">31(2020), 1 vom: 25. Feb., Seite 89-104</subfield><subfield code="w">(DE-627)193585847</subfield><subfield code="w">(DE-600)1309988-7</subfield><subfield code="w">(DE-576)062210572</subfield><subfield code="x">1019-6781</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:31</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:1</subfield><subfield code="g">day:25</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:89-104</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s12525-020-00407-6</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_267</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">31</subfield><subfield code="j">2020</subfield><subfield code="e">1</subfield><subfield code="b">25</subfield><subfield code="c">02</subfield><subfield code="h">89-104</subfield></datafield></record></collection>
|
author |
Riasanow, Tobias |
spellingShingle |
Riasanow, Tobias ddc 380 ddc 620 ssgn 3,2 misc Platform ecosystem misc Ecosystem misc Digital transformation misc Ecosystem analysis misc Similarities Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry |
authorStr |
Riasanow, Tobias |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)193585847 |
format |
Article |
dewey-ones |
380 - Commerce, communications & transportation 620 - Engineering & allied operations |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut |
collection |
OLC |
remote_str |
false |
illustrated |
Not Illustrated |
issn |
1019-6781 |
topic_title |
380 VZ 620 VZ 3,2 ssgn Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry Platform ecosystem Ecosystem Digital transformation Ecosystem analysis Similarities |
topic |
ddc 380 ddc 620 ssgn 3,2 misc Platform ecosystem misc Ecosystem misc Digital transformation misc Ecosystem analysis misc Similarities |
topic_unstemmed |
ddc 380 ddc 620 ssgn 3,2 misc Platform ecosystem misc Ecosystem misc Digital transformation misc Ecosystem analysis misc Similarities |
topic_browse |
ddc 380 ddc 620 ssgn 3,2 misc Platform ecosystem misc Ecosystem misc Digital transformation misc Ecosystem analysis misc Similarities |
format_facet |
Aufsätze Gedruckte Aufsätze |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
nc |
hierarchy_parent_title |
Electronic markets |
hierarchy_parent_id |
193585847 |
dewey-tens |
380 - Commerce, communications & transportation 620 - Engineering |
hierarchy_top_title |
Electronic markets |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)193585847 (DE-600)1309988-7 (DE-576)062210572 |
title |
Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry |
ctrlnum |
(DE-627)OLC212560292X (DE-He213)s12525-020-00407-6-p |
title_full |
Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry |
author_sort |
Riasanow, Tobias |
journal |
Electronic markets |
journalStr |
Electronic markets |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
300 - Social sciences 600 - Technology |
recordtype |
marc |
publishDateSort |
2020 |
contenttype_str_mv |
txt |
container_start_page |
89 |
author_browse |
Riasanow, Tobias Jäntgen, Lea Hermes, Sebastian Böhm, Markus Krcmar, Helmut |
container_volume |
31 |
class |
380 VZ 620 VZ 3,2 ssgn |
format_se |
Aufsätze |
author-letter |
Riasanow, Tobias |
doi_str_mv |
10.1007/s12525-020-00407-6 |
normlink |
(ORCID)0000-0003-4256-3859 (ORCID)0000-0003-2859-5651 |
normlink_prefix_str_mv |
(orcid)0000-0003-4256-3859 (orcid)0000-0003-2859-5651 |
dewey-full |
380 620 |
title_sort |
core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and iiot industry |
title_auth |
Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry |
abstract |
Abstract Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformation in five platform ecosystems: automotive, blockchain, financial, insurance, and IIoT. For our analysis, we combine the strengths of conceptual modeling using e3 value with a cluster analysis based on text mining to identify similarities in the respective ecosystems. As a result, we identified 15 clusters. Cluster 01 is the core cluster, containing the roles of organizations from all five ecosystems. Cluster 02–05 are intertwined, as they include roles from at least two ecosystems. Clusters 06–15 are ecosystem-specific that only include roles found in one ecosystem. Scholars and practitioners can use these clusters when analyzing or building a new platform ecosystem, or transforming a traditional ecosystem towards a platform ecosystem. © The Author(s) 2020 |
abstractGer |
Abstract Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformation in five platform ecosystems: automotive, blockchain, financial, insurance, and IIoT. For our analysis, we combine the strengths of conceptual modeling using e3 value with a cluster analysis based on text mining to identify similarities in the respective ecosystems. As a result, we identified 15 clusters. Cluster 01 is the core cluster, containing the roles of organizations from all five ecosystems. Cluster 02–05 are intertwined, as they include roles from at least two ecosystems. Clusters 06–15 are ecosystem-specific that only include roles found in one ecosystem. Scholars and practitioners can use these clusters when analyzing or building a new platform ecosystem, or transforming a traditional ecosystem towards a platform ecosystem. © The Author(s) 2020 |
abstract_unstemmed |
Abstract Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformation in five platform ecosystems: automotive, blockchain, financial, insurance, and IIoT. For our analysis, we combine the strengths of conceptual modeling using e3 value with a cluster analysis based on text mining to identify similarities in the respective ecosystems. As a result, we identified 15 clusters. Cluster 01 is the core cluster, containing the roles of organizations from all five ecosystems. Cluster 02–05 are intertwined, as they include roles from at least two ecosystems. Clusters 06–15 are ecosystem-specific that only include roles found in one ecosystem. Scholars and practitioners can use these clusters when analyzing or building a new platform ecosystem, or transforming a traditional ecosystem towards a platform ecosystem. © The Author(s) 2020 |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_24 GBV_ILN_267 GBV_ILN_2018 |
container_issue |
1 |
title_short |
Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry |
url |
https://doi.org/10.1007/s12525-020-00407-6 |
remote_bool |
false |
author2 |
Jäntgen, Lea Hermes, Sebastian Böhm, Markus Krcmar, Helmut |
author2Str |
Jäntgen, Lea Hermes, Sebastian Böhm, Markus Krcmar, Helmut |
ppnlink |
193585847 |
mediatype_str_mv |
n |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1007/s12525-020-00407-6 |
up_date |
2024-07-04T04:15:59.404Z |
_version_ |
1803620512604094464 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC212560292X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230505103858.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230505s2020 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12525-020-00407-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC212560292X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s12525-020-00407-6-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">380</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">3,2</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Riasanow, Tobias</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-4256-3859</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2020</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformation in five platform ecosystems: automotive, blockchain, financial, insurance, and IIoT. For our analysis, we combine the strengths of conceptual modeling using e3 value with a cluster analysis based on text mining to identify similarities in the respective ecosystems. As a result, we identified 15 clusters. Cluster 01 is the core cluster, containing the roles of organizations from all five ecosystems. Cluster 02–05 are intertwined, as they include roles from at least two ecosystems. Clusters 06–15 are ecosystem-specific that only include roles found in one ecosystem. Scholars and practitioners can use these clusters when analyzing or building a new platform ecosystem, or transforming a traditional ecosystem towards a platform ecosystem.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Platform ecosystem</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ecosystem</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Digital transformation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ecosystem analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Similarities</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jäntgen, Lea</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hermes, Sebastian</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Böhm, Markus</subfield><subfield code="0">(orcid)0000-0003-2859-5651</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Krcmar, Helmut</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Electronic markets</subfield><subfield code="d">Springer Berlin Heidelberg, 1991</subfield><subfield code="g">31(2020), 1 vom: 25. Feb., Seite 89-104</subfield><subfield code="w">(DE-627)193585847</subfield><subfield code="w">(DE-600)1309988-7</subfield><subfield code="w">(DE-576)062210572</subfield><subfield code="x">1019-6781</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:31</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:1</subfield><subfield code="g">day:25</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:89-104</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s12525-020-00407-6</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_267</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">31</subfield><subfield code="j">2020</subfield><subfield code="e">1</subfield><subfield code="b">25</subfield><subfield code="c">02</subfield><subfield code="h">89-104</subfield></datafield></record></collection>
|
score |
7.399356 |