Innovation climate for individual motivation and innovation performance : is innovative behavior a missing link?
This study empirically examines the impact of individual motivation on innovation performance, where innovative behavior serves as a mediating construct, and discusses whether the innovation climate has a moderating effect. This study combines the Cognitive Evaluation Theory and behavioral performan...
Ausführliche Beschreibung
Autor*in: |
Jiang, Shan [verfasserIn] Wang, Jun [verfasserIn] Zhang, Ruilin [verfasserIn] Liu, Ou [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Rechteinformationen: |
Open Access Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International ; CC BY-NC-ND 4.0 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Journal of innovation & knowledge - Amsterdam : Elsevier, 2016, 8(2023), 4 vom: Okt./Dez., Artikel-ID 100440, Seite 1-10 |
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Übergeordnetes Werk: |
volume:8 ; year:2023 ; number:4 ; month:10/12 ; elocationid:100440 ; pages:1-10 |
Links: |
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DOI / URN: |
10.1016/j.jik.2023.100440 |
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Katalog-ID: |
188508448X |
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10.1016/j.jik.2023.100440 doi (DE-627)188508448X (DE-599)KXP188508448X DE-627 ger DE-627 rda eng O31 O32 M00 jelc Jiang, Shan verfasserin (DE-588)1330799070 (DE-627)1889855464 aut Innovation climate for individual motivation and innovation performance is innovative behavior a missing link? Shan Jiang, Jun Wang, Ruilin Zhang, Ou Liu 2023 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 This study empirically examines the impact of individual motivation on innovation performance, where innovative behavior serves as a mediating construct, and discusses whether the innovation climate has a moderating effect. This study combines the Cognitive Evaluation Theory and behavioral performance to develop a new theoretical method for explaining the relationships between individual motivation, innovative behavior, and innovation performance. Data collected via a field study of 250 subjects who participated in a science and technology competition were analyzed using a PLS-SEM model. Barron and Kenny's mediation test and the bootstrapping method were used to evaluate the model and confirm the mediation and moderation effects, respectively. Robustness checks were conducted to exclude nonlinearity and heterogeneity in the model. The results show that individual motivation positively promotes innovation performance, in which innovative behavior plays an intermediary role, and that innovation climate moderates the relationship between innovative behavior and innovation performance. According to the results of this field study, stimulators concerning motivation and climate should be primarily considered by managers to boost innovation performance. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Innovation performance (dpeaa)DE-206 Individual motivation (dpeaa)DE-206 Innovative behavior (dpeaa)DE-206 Innovation climate (dpeaa)DE-206 Wang, Jun verfasserin (DE-588)1330799542 (DE-627)1889855553 aut Zhang, Ruilin verfasserin (DE-588)1330800168 (DE-627)1889855650 aut Liu, Ou verfasserin (DE-588)1330798287 (DE-627)1889855375 aut Enthalten in Journal of innovation & knowledge Amsterdam : Elsevier, 2016 8(2023), 4 vom: Okt./Dez., Artikel-ID 100440, Seite 1-10 Online-Ressource (DE-627)880796871 (DE-600)2885454-8 (DE-576)483751294 2444-569X nnns volume:8 year:2023 number:4 month:10/12 elocationid:100440 pages:1-10 https://www.sciencedirect.com/science/article/pii/S2444569X2300135X/pdf Verlag kostenfrei https://doi.org/10.1016/j.jik.2023.100440 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_171 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_4392 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2023 4 10/12 100440 1-10 26 01 0206 450761564X x1z 05-04-24 2403 01 DE-LFER 4511519544 00 --%%-- --%%-- n --%%-- l01 13-04-24 2403 01 DE-LFER https://doi.org/10.1016/j.jik.2023.100440 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2444569X2300135X/pdf |
spelling |
10.1016/j.jik.2023.100440 doi (DE-627)188508448X (DE-599)KXP188508448X DE-627 ger DE-627 rda eng O31 O32 M00 jelc Jiang, Shan verfasserin (DE-588)1330799070 (DE-627)1889855464 aut Innovation climate for individual motivation and innovation performance is innovative behavior a missing link? Shan Jiang, Jun Wang, Ruilin Zhang, Ou Liu 2023 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 This study empirically examines the impact of individual motivation on innovation performance, where innovative behavior serves as a mediating construct, and discusses whether the innovation climate has a moderating effect. This study combines the Cognitive Evaluation Theory and behavioral performance to develop a new theoretical method for explaining the relationships between individual motivation, innovative behavior, and innovation performance. Data collected via a field study of 250 subjects who participated in a science and technology competition were analyzed using a PLS-SEM model. Barron and Kenny's mediation test and the bootstrapping method were used to evaluate the model and confirm the mediation and moderation effects, respectively. Robustness checks were conducted to exclude nonlinearity and heterogeneity in the model. The results show that individual motivation positively promotes innovation performance, in which innovative behavior plays an intermediary role, and that innovation climate moderates the relationship between innovative behavior and innovation performance. According to the results of this field study, stimulators concerning motivation and climate should be primarily considered by managers to boost innovation performance. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Innovation performance (dpeaa)DE-206 Individual motivation (dpeaa)DE-206 Innovative behavior (dpeaa)DE-206 Innovation climate (dpeaa)DE-206 Wang, Jun verfasserin (DE-588)1330799542 (DE-627)1889855553 aut Zhang, Ruilin verfasserin (DE-588)1330800168 (DE-627)1889855650 aut Liu, Ou verfasserin (DE-588)1330798287 (DE-627)1889855375 aut Enthalten in Journal of innovation & knowledge Amsterdam : Elsevier, 2016 8(2023), 4 vom: Okt./Dez., Artikel-ID 100440, Seite 1-10 Online-Ressource (DE-627)880796871 (DE-600)2885454-8 (DE-576)483751294 2444-569X nnns volume:8 year:2023 number:4 month:10/12 elocationid:100440 pages:1-10 https://www.sciencedirect.com/science/article/pii/S2444569X2300135X/pdf Verlag kostenfrei https://doi.org/10.1016/j.jik.2023.100440 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_171 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_4392 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2023 4 10/12 100440 1-10 26 01 0206 450761564X x1z 05-04-24 2403 01 DE-LFER 4511519544 00 --%%-- --%%-- n --%%-- l01 13-04-24 2403 01 DE-LFER https://doi.org/10.1016/j.jik.2023.100440 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2444569X2300135X/pdf |
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10.1016/j.jik.2023.100440 doi (DE-627)188508448X (DE-599)KXP188508448X DE-627 ger DE-627 rda eng O31 O32 M00 jelc Jiang, Shan verfasserin (DE-588)1330799070 (DE-627)1889855464 aut Innovation climate for individual motivation and innovation performance is innovative behavior a missing link? Shan Jiang, Jun Wang, Ruilin Zhang, Ou Liu 2023 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 This study empirically examines the impact of individual motivation on innovation performance, where innovative behavior serves as a mediating construct, and discusses whether the innovation climate has a moderating effect. This study combines the Cognitive Evaluation Theory and behavioral performance to develop a new theoretical method for explaining the relationships between individual motivation, innovative behavior, and innovation performance. Data collected via a field study of 250 subjects who participated in a science and technology competition were analyzed using a PLS-SEM model. Barron and Kenny's mediation test and the bootstrapping method were used to evaluate the model and confirm the mediation and moderation effects, respectively. Robustness checks were conducted to exclude nonlinearity and heterogeneity in the model. The results show that individual motivation positively promotes innovation performance, in which innovative behavior plays an intermediary role, and that innovation climate moderates the relationship between innovative behavior and innovation performance. According to the results of this field study, stimulators concerning motivation and climate should be primarily considered by managers to boost innovation performance. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Innovation performance (dpeaa)DE-206 Individual motivation (dpeaa)DE-206 Innovative behavior (dpeaa)DE-206 Innovation climate (dpeaa)DE-206 Wang, Jun verfasserin (DE-588)1330799542 (DE-627)1889855553 aut Zhang, Ruilin verfasserin (DE-588)1330800168 (DE-627)1889855650 aut Liu, Ou verfasserin (DE-588)1330798287 (DE-627)1889855375 aut Enthalten in Journal of innovation & knowledge Amsterdam : Elsevier, 2016 8(2023), 4 vom: Okt./Dez., Artikel-ID 100440, Seite 1-10 Online-Ressource (DE-627)880796871 (DE-600)2885454-8 (DE-576)483751294 2444-569X nnns volume:8 year:2023 number:4 month:10/12 elocationid:100440 pages:1-10 https://www.sciencedirect.com/science/article/pii/S2444569X2300135X/pdf Verlag kostenfrei https://doi.org/10.1016/j.jik.2023.100440 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_171 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_4392 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2023 4 10/12 100440 1-10 26 01 0206 450761564X x1z 05-04-24 2403 01 DE-LFER 4511519544 00 --%%-- --%%-- n --%%-- l01 13-04-24 2403 01 DE-LFER https://doi.org/10.1016/j.jik.2023.100440 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2444569X2300135X/pdf |
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10.1016/j.jik.2023.100440 doi (DE-627)188508448X (DE-599)KXP188508448X DE-627 ger DE-627 rda eng O31 O32 M00 jelc Jiang, Shan verfasserin (DE-588)1330799070 (DE-627)1889855464 aut Innovation climate for individual motivation and innovation performance is innovative behavior a missing link? Shan Jiang, Jun Wang, Ruilin Zhang, Ou Liu 2023 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 This study empirically examines the impact of individual motivation on innovation performance, where innovative behavior serves as a mediating construct, and discusses whether the innovation climate has a moderating effect. This study combines the Cognitive Evaluation Theory and behavioral performance to develop a new theoretical method for explaining the relationships between individual motivation, innovative behavior, and innovation performance. Data collected via a field study of 250 subjects who participated in a science and technology competition were analyzed using a PLS-SEM model. Barron and Kenny's mediation test and the bootstrapping method were used to evaluate the model and confirm the mediation and moderation effects, respectively. Robustness checks were conducted to exclude nonlinearity and heterogeneity in the model. The results show that individual motivation positively promotes innovation performance, in which innovative behavior plays an intermediary role, and that innovation climate moderates the relationship between innovative behavior and innovation performance. According to the results of this field study, stimulators concerning motivation and climate should be primarily considered by managers to boost innovation performance. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Innovation performance (dpeaa)DE-206 Individual motivation (dpeaa)DE-206 Innovative behavior (dpeaa)DE-206 Innovation climate (dpeaa)DE-206 Wang, Jun verfasserin (DE-588)1330799542 (DE-627)1889855553 aut Zhang, Ruilin verfasserin (DE-588)1330800168 (DE-627)1889855650 aut Liu, Ou verfasserin (DE-588)1330798287 (DE-627)1889855375 aut Enthalten in Journal of innovation & knowledge Amsterdam : Elsevier, 2016 8(2023), 4 vom: Okt./Dez., Artikel-ID 100440, Seite 1-10 Online-Ressource (DE-627)880796871 (DE-600)2885454-8 (DE-576)483751294 2444-569X nnns volume:8 year:2023 number:4 month:10/12 elocationid:100440 pages:1-10 https://www.sciencedirect.com/science/article/pii/S2444569X2300135X/pdf Verlag kostenfrei https://doi.org/10.1016/j.jik.2023.100440 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_171 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_4392 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2023 4 10/12 100440 1-10 26 01 0206 450761564X x1z 05-04-24 2403 01 DE-LFER 4511519544 00 --%%-- --%%-- n --%%-- l01 13-04-24 2403 01 DE-LFER https://doi.org/10.1016/j.jik.2023.100440 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2444569X2300135X/pdf |
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10.1016/j.jik.2023.100440 doi (DE-627)188508448X (DE-599)KXP188508448X DE-627 ger DE-627 rda eng O31 O32 M00 jelc Jiang, Shan verfasserin (DE-588)1330799070 (DE-627)1889855464 aut Innovation climate for individual motivation and innovation performance is innovative behavior a missing link? Shan Jiang, Jun Wang, Ruilin Zhang, Ou Liu 2023 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 This study empirically examines the impact of individual motivation on innovation performance, where innovative behavior serves as a mediating construct, and discusses whether the innovation climate has a moderating effect. This study combines the Cognitive Evaluation Theory and behavioral performance to develop a new theoretical method for explaining the relationships between individual motivation, innovative behavior, and innovation performance. Data collected via a field study of 250 subjects who participated in a science and technology competition were analyzed using a PLS-SEM model. Barron and Kenny's mediation test and the bootstrapping method were used to evaluate the model and confirm the mediation and moderation effects, respectively. Robustness checks were conducted to exclude nonlinearity and heterogeneity in the model. The results show that individual motivation positively promotes innovation performance, in which innovative behavior plays an intermediary role, and that innovation climate moderates the relationship between innovative behavior and innovation performance. According to the results of this field study, stimulators concerning motivation and climate should be primarily considered by managers to boost innovation performance. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Innovation performance (dpeaa)DE-206 Individual motivation (dpeaa)DE-206 Innovative behavior (dpeaa)DE-206 Innovation climate (dpeaa)DE-206 Wang, Jun verfasserin (DE-588)1330799542 (DE-627)1889855553 aut Zhang, Ruilin verfasserin (DE-588)1330800168 (DE-627)1889855650 aut Liu, Ou verfasserin (DE-588)1330798287 (DE-627)1889855375 aut Enthalten in Journal of innovation & knowledge Amsterdam : Elsevier, 2016 8(2023), 4 vom: Okt./Dez., Artikel-ID 100440, Seite 1-10 Online-Ressource (DE-627)880796871 (DE-600)2885454-8 (DE-576)483751294 2444-569X nnns volume:8 year:2023 number:4 month:10/12 elocationid:100440 pages:1-10 https://www.sciencedirect.com/science/article/pii/S2444569X2300135X/pdf Verlag kostenfrei https://doi.org/10.1016/j.jik.2023.100440 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_171 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_4392 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2023 4 10/12 100440 1-10 26 01 0206 450761564X x1z 05-04-24 2403 01 DE-LFER 4511519544 00 --%%-- --%%-- n --%%-- l01 13-04-24 2403 01 DE-LFER https://doi.org/10.1016/j.jik.2023.100440 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2444569X2300135X/pdf |
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Innovation climate for individual motivation and innovation performance is innovative behavior a missing link? |
abstract |
This study empirically examines the impact of individual motivation on innovation performance, where innovative behavior serves as a mediating construct, and discusses whether the innovation climate has a moderating effect. This study combines the Cognitive Evaluation Theory and behavioral performance to develop a new theoretical method for explaining the relationships between individual motivation, innovative behavior, and innovation performance. Data collected via a field study of 250 subjects who participated in a science and technology competition were analyzed using a PLS-SEM model. Barron and Kenny's mediation test and the bootstrapping method were used to evaluate the model and confirm the mediation and moderation effects, respectively. Robustness checks were conducted to exclude nonlinearity and heterogeneity in the model. The results show that individual motivation positively promotes innovation performance, in which innovative behavior plays an intermediary role, and that innovation climate moderates the relationship between innovative behavior and innovation performance. According to the results of this field study, stimulators concerning motivation and climate should be primarily considered by managers to boost innovation performance. |
abstractGer |
This study empirically examines the impact of individual motivation on innovation performance, where innovative behavior serves as a mediating construct, and discusses whether the innovation climate has a moderating effect. This study combines the Cognitive Evaluation Theory and behavioral performance to develop a new theoretical method for explaining the relationships between individual motivation, innovative behavior, and innovation performance. Data collected via a field study of 250 subjects who participated in a science and technology competition were analyzed using a PLS-SEM model. Barron and Kenny's mediation test and the bootstrapping method were used to evaluate the model and confirm the mediation and moderation effects, respectively. Robustness checks were conducted to exclude nonlinearity and heterogeneity in the model. The results show that individual motivation positively promotes innovation performance, in which innovative behavior plays an intermediary role, and that innovation climate moderates the relationship between innovative behavior and innovation performance. According to the results of this field study, stimulators concerning motivation and climate should be primarily considered by managers to boost innovation performance. |
abstract_unstemmed |
This study empirically examines the impact of individual motivation on innovation performance, where innovative behavior serves as a mediating construct, and discusses whether the innovation climate has a moderating effect. This study combines the Cognitive Evaluation Theory and behavioral performance to develop a new theoretical method for explaining the relationships between individual motivation, innovative behavior, and innovation performance. Data collected via a field study of 250 subjects who participated in a science and technology competition were analyzed using a PLS-SEM model. Barron and Kenny's mediation test and the bootstrapping method were used to evaluate the model and confirm the mediation and moderation effects, respectively. Robustness checks were conducted to exclude nonlinearity and heterogeneity in the model. The results show that individual motivation positively promotes innovation performance, in which innovative behavior plays an intermediary role, and that innovation climate moderates the relationship between innovative behavior and innovation performance. According to the results of this field study, stimulators concerning motivation and climate should be primarily considered by managers to boost innovation performance. |
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container_issue |
4 |
title_short |
Innovation climate for individual motivation and innovation performance |
url |
https://www.sciencedirect.com/science/article/pii/S2444569X2300135X/pdf https://doi.org/10.1016/j.jik.2023.100440 |
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up_date |
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score |
7.401516 |