Social media users' engagement : applying network effect theory in participatory platform business in moderating knowledge management decision

Social media user engagement is a network effective in achieving a variety of goals linked to stakeholder networks (SN) and Word-of-Mouth Referral (WOMR). Achieving the results requires network effect theory (NET), which revolves around user engagement (UE) with an active participatory platform (APP...
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Autor*in:	Aamir, Syed Muhammad [verfasserIn] Sikandar, Syed Muhammad [verfasserIn] Muhideen, Sayibu [verfasserIn] Ahmad, Intikhab [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Rechteinformationen:	Open Access Namensnennung 4.0 International ; CC BY 4.0

Schlagwörter:	Active Participatory Platform (APP) Knowledge Management (KM) Network Effect Theory (NET) Social media (SM) User Engagement (UE)

Übergeordnetes Werk:	Enthalten in: Journal of open innovation - Basel : MDPI, 2015, 10(2024), 1 vom: März, Artikel-ID 100251, Seite 1-10
Übergeordnetes Werk:	volume:10 ; year:2024 ; number:1 ; month:03 ; elocationid:100251 ; pages:1-10

Links:	Link aufrufen Link aufrufen

DOI / URN:	10.1016/j.joitmc.2024.100251

Katalog-ID:	1886880344

Internformat


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allfields	10.1016/j.joitmc.2024.100251 doi (DE-627)1886880344 (DE-599)KXP1886880344 DE-627 ger DE-627 rda eng Aamir, Syed Muhammad verfasserin aut Social media users' engagement applying network effect theory in participatory platform business in moderating knowledge management decision Syed Muhammad Aamir, Syed Muhammad Sikandar, Sayibu Muhideen, Intikhab Ahmad 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Social media user engagement is a network effective in achieving a variety of goals linked to stakeholder networks (SN) and Word-of-Mouth Referral (WOMR). Achieving the results requires network effect theory (NET), which revolves around user engagement (UE) with an active participatory platform (APP) associated with knowledge management connected with stakeholder networks on a digital platform. Methodologically, the empirical quantitative structural equation model examined the interconnected hypotheses. In light of empirical measurements of five essential aspects of NET and stakeholder networks, the knowledge management moderation posits on the stakeholder relationships to better understand the return on social media as an integral part of public administration. The research then puts to test NET connecting various stakeholder networks and KM strategies. The study reveals that User Engagement (UE) is directly significant to SN but not WOMR, with numerous SM-APP signals and intersectional stakeholder networks significant in the study. KM moderation strengthened a positive relationship between UE and SN and partially mediated the relationship between UE and SN. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Active Participatory Platform (APP) (dpeaa)DE-206 Knowledge Management (KM) (dpeaa)DE-206 Network Effect Theory (NET) (dpeaa)DE-206 Social media (SM) (dpeaa)DE-206 User Engagement (UE) (dpeaa)DE-206 Sikandar, Syed Muhammad verfasserin aut Muhideen, Sayibu verfasserin aut Ahmad, Intikhab verfasserin aut Enthalten in Journal of open innovation Basel : MDPI, 2015 10(2024), 1 vom: März, Artikel-ID 100251, Seite 1-10 Online-Ressource (DE-627)833526413 (DE-600)2832108-X (DE-576)444393463 2199-8531 nnns volume:10 year:2024 number:1 month:03 elocationid:100251 pages:1-10 https://www.sciencedirect.com/science/article/pii/S2199853124000453/pdfft?md5=490dbc453454667c3be8f14de436e23c&pid=1-s2.0-S2199853124000453-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.joitmc.2024.100251 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 10 2024 1 3 100251 1-10 26 01 0206 4515781723 x1z 24-04-24 2403 01 DE-LFER 4521571859 00 --%%-- --%%-- n --%%-- l01 08-05-24 2403 01 DE-LFER https://doi.org/10.1016/j.joitmc.2024.100251 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2199853124000453/pdfft?md5=490dbc453454667c3be8f14de436e23c&pid=1-s2.0-S2199853124000453-main.pdf
spelling	10.1016/j.joitmc.2024.100251 doi (DE-627)1886880344 (DE-599)KXP1886880344 DE-627 ger DE-627 rda eng Aamir, Syed Muhammad verfasserin aut Social media users' engagement applying network effect theory in participatory platform business in moderating knowledge management decision Syed Muhammad Aamir, Syed Muhammad Sikandar, Sayibu Muhideen, Intikhab Ahmad 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Social media user engagement is a network effective in achieving a variety of goals linked to stakeholder networks (SN) and Word-of-Mouth Referral (WOMR). Achieving the results requires network effect theory (NET), which revolves around user engagement (UE) with an active participatory platform (APP) associated with knowledge management connected with stakeholder networks on a digital platform. Methodologically, the empirical quantitative structural equation model examined the interconnected hypotheses. In light of empirical measurements of five essential aspects of NET and stakeholder networks, the knowledge management moderation posits on the stakeholder relationships to better understand the return on social media as an integral part of public administration. The research then puts to test NET connecting various stakeholder networks and KM strategies. The study reveals that User Engagement (UE) is directly significant to SN but not WOMR, with numerous SM-APP signals and intersectional stakeholder networks significant in the study. KM moderation strengthened a positive relationship between UE and SN and partially mediated the relationship between UE and SN. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Active Participatory Platform (APP) (dpeaa)DE-206 Knowledge Management (KM) (dpeaa)DE-206 Network Effect Theory (NET) (dpeaa)DE-206 Social media (SM) (dpeaa)DE-206 User Engagement (UE) (dpeaa)DE-206 Sikandar, Syed Muhammad verfasserin aut Muhideen, Sayibu verfasserin aut Ahmad, Intikhab verfasserin aut Enthalten in Journal of open innovation Basel : MDPI, 2015 10(2024), 1 vom: März, Artikel-ID 100251, Seite 1-10 Online-Ressource (DE-627)833526413 (DE-600)2832108-X (DE-576)444393463 2199-8531 nnns volume:10 year:2024 number:1 month:03 elocationid:100251 pages:1-10 https://www.sciencedirect.com/science/article/pii/S2199853124000453/pdfft?md5=490dbc453454667c3be8f14de436e23c&pid=1-s2.0-S2199853124000453-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.joitmc.2024.100251 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 10 2024 1 3 100251 1-10 26 01 0206 4515781723 x1z 24-04-24 2403 01 DE-LFER 4521571859 00 --%%-- --%%-- n --%%-- l01 08-05-24 2403 01 DE-LFER https://doi.org/10.1016/j.joitmc.2024.100251 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2199853124000453/pdfft?md5=490dbc453454667c3be8f14de436e23c&pid=1-s2.0-S2199853124000453-main.pdf
allfields_unstemmed	10.1016/j.joitmc.2024.100251 doi (DE-627)1886880344 (DE-599)KXP1886880344 DE-627 ger DE-627 rda eng Aamir, Syed Muhammad verfasserin aut Social media users' engagement applying network effect theory in participatory platform business in moderating knowledge management decision Syed Muhammad Aamir, Syed Muhammad Sikandar, Sayibu Muhideen, Intikhab Ahmad 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Social media user engagement is a network effective in achieving a variety of goals linked to stakeholder networks (SN) and Word-of-Mouth Referral (WOMR). Achieving the results requires network effect theory (NET), which revolves around user engagement (UE) with an active participatory platform (APP) associated with knowledge management connected with stakeholder networks on a digital platform. Methodologically, the empirical quantitative structural equation model examined the interconnected hypotheses. In light of empirical measurements of five essential aspects of NET and stakeholder networks, the knowledge management moderation posits on the stakeholder relationships to better understand the return on social media as an integral part of public administration. The research then puts to test NET connecting various stakeholder networks and KM strategies. The study reveals that User Engagement (UE) is directly significant to SN but not WOMR, with numerous SM-APP signals and intersectional stakeholder networks significant in the study. KM moderation strengthened a positive relationship between UE and SN and partially mediated the relationship between UE and SN. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Active Participatory Platform (APP) (dpeaa)DE-206 Knowledge Management (KM) (dpeaa)DE-206 Network Effect Theory (NET) (dpeaa)DE-206 Social media (SM) (dpeaa)DE-206 User Engagement (UE) (dpeaa)DE-206 Sikandar, Syed Muhammad verfasserin aut Muhideen, Sayibu verfasserin aut Ahmad, Intikhab verfasserin aut Enthalten in Journal of open innovation Basel : MDPI, 2015 10(2024), 1 vom: März, Artikel-ID 100251, Seite 1-10 Online-Ressource (DE-627)833526413 (DE-600)2832108-X (DE-576)444393463 2199-8531 nnns volume:10 year:2024 number:1 month:03 elocationid:100251 pages:1-10 https://www.sciencedirect.com/science/article/pii/S2199853124000453/pdfft?md5=490dbc453454667c3be8f14de436e23c&pid=1-s2.0-S2199853124000453-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.joitmc.2024.100251 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 10 2024 1 3 100251 1-10 26 01 0206 4515781723 x1z 24-04-24 2403 01 DE-LFER 4521571859 00 --%%-- --%%-- n --%%-- l01 08-05-24 2403 01 DE-LFER https://doi.org/10.1016/j.joitmc.2024.100251 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2199853124000453/pdfft?md5=490dbc453454667c3be8f14de436e23c&pid=1-s2.0-S2199853124000453-main.pdf
allfieldsGer	10.1016/j.joitmc.2024.100251 doi (DE-627)1886880344 (DE-599)KXP1886880344 DE-627 ger DE-627 rda eng Aamir, Syed Muhammad verfasserin aut Social media users' engagement applying network effect theory in participatory platform business in moderating knowledge management decision Syed Muhammad Aamir, Syed Muhammad Sikandar, Sayibu Muhideen, Intikhab Ahmad 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Social media user engagement is a network effective in achieving a variety of goals linked to stakeholder networks (SN) and Word-of-Mouth Referral (WOMR). Achieving the results requires network effect theory (NET), which revolves around user engagement (UE) with an active participatory platform (APP) associated with knowledge management connected with stakeholder networks on a digital platform. Methodologically, the empirical quantitative structural equation model examined the interconnected hypotheses. In light of empirical measurements of five essential aspects of NET and stakeholder networks, the knowledge management moderation posits on the stakeholder relationships to better understand the return on social media as an integral part of public administration. The research then puts to test NET connecting various stakeholder networks and KM strategies. The study reveals that User Engagement (UE) is directly significant to SN but not WOMR, with numerous SM-APP signals and intersectional stakeholder networks significant in the study. KM moderation strengthened a positive relationship between UE and SN and partially mediated the relationship between UE and SN. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Active Participatory Platform (APP) (dpeaa)DE-206 Knowledge Management (KM) (dpeaa)DE-206 Network Effect Theory (NET) (dpeaa)DE-206 Social media (SM) (dpeaa)DE-206 User Engagement (UE) (dpeaa)DE-206 Sikandar, Syed Muhammad verfasserin aut Muhideen, Sayibu verfasserin aut Ahmad, Intikhab verfasserin aut Enthalten in Journal of open innovation Basel : MDPI, 2015 10(2024), 1 vom: März, Artikel-ID 100251, Seite 1-10 Online-Ressource (DE-627)833526413 (DE-600)2832108-X (DE-576)444393463 2199-8531 nnns volume:10 year:2024 number:1 month:03 elocationid:100251 pages:1-10 https://www.sciencedirect.com/science/article/pii/S2199853124000453/pdfft?md5=490dbc453454667c3be8f14de436e23c&pid=1-s2.0-S2199853124000453-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.joitmc.2024.100251 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 10 2024 1 3 100251 1-10 26 01 0206 4515781723 x1z 24-04-24 2403 01 DE-LFER 4521571859 00 --%%-- --%%-- n --%%-- l01 08-05-24 2403 01 DE-LFER https://doi.org/10.1016/j.joitmc.2024.100251 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2199853124000453/pdfft?md5=490dbc453454667c3be8f14de436e23c&pid=1-s2.0-S2199853124000453-main.pdf
allfieldsSound	10.1016/j.joitmc.2024.100251 doi (DE-627)1886880344 (DE-599)KXP1886880344 DE-627 ger DE-627 rda eng Aamir, Syed Muhammad verfasserin aut Social media users' engagement applying network effect theory in participatory platform business in moderating knowledge management decision Syed Muhammad Aamir, Syed Muhammad Sikandar, Sayibu Muhideen, Intikhab Ahmad 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Social media user engagement is a network effective in achieving a variety of goals linked to stakeholder networks (SN) and Word-of-Mouth Referral (WOMR). Achieving the results requires network effect theory (NET), which revolves around user engagement (UE) with an active participatory platform (APP) associated with knowledge management connected with stakeholder networks on a digital platform. Methodologically, the empirical quantitative structural equation model examined the interconnected hypotheses. In light of empirical measurements of five essential aspects of NET and stakeholder networks, the knowledge management moderation posits on the stakeholder relationships to better understand the return on social media as an integral part of public administration. The research then puts to test NET connecting various stakeholder networks and KM strategies. The study reveals that User Engagement (UE) is directly significant to SN but not WOMR, with numerous SM-APP signals and intersectional stakeholder networks significant in the study. KM moderation strengthened a positive relationship between UE and SN and partially mediated the relationship between UE and SN. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Active Participatory Platform (APP) (dpeaa)DE-206 Knowledge Management (KM) (dpeaa)DE-206 Network Effect Theory (NET) (dpeaa)DE-206 Social media (SM) (dpeaa)DE-206 User Engagement (UE) (dpeaa)DE-206 Sikandar, Syed Muhammad verfasserin aut Muhideen, Sayibu verfasserin aut Ahmad, Intikhab verfasserin aut Enthalten in Journal of open innovation Basel : MDPI, 2015 10(2024), 1 vom: März, Artikel-ID 100251, Seite 1-10 Online-Ressource (DE-627)833526413 (DE-600)2832108-X (DE-576)444393463 2199-8531 nnns volume:10 year:2024 number:1 month:03 elocationid:100251 pages:1-10 https://www.sciencedirect.com/science/article/pii/S2199853124000453/pdfft?md5=490dbc453454667c3be8f14de436e23c&pid=1-s2.0-S2199853124000453-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.joitmc.2024.100251 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 10 2024 1 3 100251 1-10 26 01 0206 4515781723 x1z 24-04-24 2403 01 DE-LFER 4521571859 00 --%%-- --%%-- n --%%-- l01 08-05-24 2403 01 DE-LFER https://doi.org/10.1016/j.joitmc.2024.100251 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2199853124000453/pdfft?md5=490dbc453454667c3be8f14de436e23c&pid=1-s2.0-S2199853124000453-main.pdf
language	English
source	Enthalten in Journal of open innovation 10(2024), 1 vom: März, Artikel-ID 100251, Seite 1-10 volume:10 year:2024 number:1 month:03 elocationid:100251 pages:1-10
sourceStr	Enthalten in Journal of open innovation 10(2024), 1 vom: März, Artikel-ID 100251, Seite 1-10 volume:10 year:2024 number:1 month:03 elocationid:100251 pages:1-10
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topic_facet	Active Participatory Platform (APP) Knowledge Management (KM) Network Effect Theory (NET) Social media (SM) User Engagement (UE)
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container_title	Journal of open innovation
authorswithroles_txt_mv	Aamir, Syed Muhammad @@aut@@ Sikandar, Syed Muhammad @@aut@@ Muhideen, Sayibu @@aut@@ Ahmad, Intikhab @@aut@@
publishDateDaySort_date	2024-03-01T00:00:00Z
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spellingShingle	Aamir, Syed Muhammad misc Active Participatory Platform (APP) misc Knowledge Management (KM) misc Network Effect Theory (NET) misc Social media (SM) misc User Engagement (UE) Social media users' engagement applying network effect theory in participatory platform business in moderating knowledge management decision
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topic_title	Social media users' engagement applying network effect theory in participatory platform business in moderating knowledge management decision Syed Muhammad Aamir, Syed Muhammad Sikandar, Sayibu Muhideen, Intikhab Ahmad Active Participatory Platform (APP) (dpeaa)DE-206 Knowledge Management (KM) (dpeaa)DE-206 Network Effect Theory (NET) (dpeaa)DE-206 Social media (SM) (dpeaa)DE-206 User Engagement (UE) (dpeaa)DE-206
topic	misc Active Participatory Platform (APP) misc Knowledge Management (KM) misc Network Effect Theory (NET) misc Social media (SM) misc User Engagement (UE)
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title	Social media users' engagement applying network effect theory in participatory platform business in moderating knowledge management decision
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title_full	Social media users' engagement applying network effect theory in participatory platform business in moderating knowledge management decision Syed Muhammad Aamir, Syed Muhammad Sikandar, Sayibu Muhideen, Intikhab Ahmad
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title_sub	applying network effect theory in participatory platform business in moderating knowledge management decision
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title_sort	social media users' engagementapplying network effect theory in participatory platform business in moderating knowledge management decision
title_auth	Social media users' engagement applying network effect theory in participatory platform business in moderating knowledge management decision
abstract	Social media user engagement is a network effective in achieving a variety of goals linked to stakeholder networks (SN) and Word-of-Mouth Referral (WOMR). Achieving the results requires network effect theory (NET), which revolves around user engagement (UE) with an active participatory platform (APP) associated with knowledge management connected with stakeholder networks on a digital platform. Methodologically, the empirical quantitative structural equation model examined the interconnected hypotheses. In light of empirical measurements of five essential aspects of NET and stakeholder networks, the knowledge management moderation posits on the stakeholder relationships to better understand the return on social media as an integral part of public administration. The research then puts to test NET connecting various stakeholder networks and KM strategies. The study reveals that User Engagement (UE) is directly significant to SN but not WOMR, with numerous SM-APP signals and intersectional stakeholder networks significant in the study. KM moderation strengthened a positive relationship between UE and SN and partially mediated the relationship between UE and SN.
abstractGer	Social media user engagement is a network effective in achieving a variety of goals linked to stakeholder networks (SN) and Word-of-Mouth Referral (WOMR). Achieving the results requires network effect theory (NET), which revolves around user engagement (UE) with an active participatory platform (APP) associated with knowledge management connected with stakeholder networks on a digital platform. Methodologically, the empirical quantitative structural equation model examined the interconnected hypotheses. In light of empirical measurements of five essential aspects of NET and stakeholder networks, the knowledge management moderation posits on the stakeholder relationships to better understand the return on social media as an integral part of public administration. The research then puts to test NET connecting various stakeholder networks and KM strategies. The study reveals that User Engagement (UE) is directly significant to SN but not WOMR, with numerous SM-APP signals and intersectional stakeholder networks significant in the study. KM moderation strengthened a positive relationship between UE and SN and partially mediated the relationship between UE and SN.
abstract_unstemmed	Social media user engagement is a network effective in achieving a variety of goals linked to stakeholder networks (SN) and Word-of-Mouth Referral (WOMR). Achieving the results requires network effect theory (NET), which revolves around user engagement (UE) with an active participatory platform (APP) associated with knowledge management connected with stakeholder networks on a digital platform. Methodologically, the empirical quantitative structural equation model examined the interconnected hypotheses. In light of empirical measurements of five essential aspects of NET and stakeholder networks, the knowledge management moderation posits on the stakeholder relationships to better understand the return on social media as an integral part of public administration. The research then puts to test NET connecting various stakeholder networks and KM strategies. The study reveals that User Engagement (UE) is directly significant to SN but not WOMR, with numerous SM-APP signals and intersectional stakeholder networks significant in the study. KM moderation strengthened a positive relationship between UE and SN and partially mediated the relationship between UE and SN.
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title_short	Social media users' engagement
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