Transform me if you can : leveraging dynamic capabilities to manage digital transformation

Schneider, Malte H. G. (avtor), Kanbach, Dominik (avtor), Kraus, Sascha (avtor), Dabić, Marina (avtor)

This study sheds light on the relationships between digital transformation, business model, and process efficiency capabilities, and new product development (NPD) performance by employing a sequential explanatory approach, combining quantitative and qualitative research methodologies, utilizing structural equation modeling based on 430 questionnaire respondents, and a multiple case study design using four cases. The derived framework highlights that digital transformation does not directly lead to NPD performance but that organizations use idiosyncratic higher order (e.g., business model and process efficiency) capabilities that mediate this relationship to strategically cope with change. When assessing, reconfiguring, and integrating, organizations tap into internal and external value, individual, technological, and organizational (VITO) dimensions to transform operational capabilities and resources. Thus, higher order capabilities enable organizations to leverage firm-external opportunities to adjust intrafirm operational capabilities, resources, and competencies, emphasizing a complex hierarchical and contextual interplay. The contributions of the study are twofold: 1) we provide statistical evidence that the business model and process efficiency capabilities are coping mechanisms to master digital transformation and 2) the successful orchestration of VITO dimensions is essential for assessing, reconfiguring, and integrating resources, competencies, and operational capabilities to derive NPD performance.

• Jezik: Angleški jezik
• Ključne besede: management, business model, digitalization, artificial intelligence, digital transformation (DT), dynamic capabilities, mixed method, multiple case study, new product development (NPD), sequential explanatory approach, structural equation model
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: EF - Ekonomska fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2024
• Št. strani: Str. 9094-9108
• Številčenje: Vol. 71
• PID: 20.500.12556/RUL-159750
• UDK: 659.2:004
• ISSN pri članku: 0018-9391
• DOI: 10.1109/TEM.2023.3319406
• COBISS.SI-ID: 169433347
• Datum objave v RUL: 22.07.2024

Gradivo je del revije

• Naslov: IEEE transactions on engineering management
• Skrajšan naslov: IEEE trans. eng. manage.
• Založnik: Institute of Electrical and Electronics Engineers
• ISSN: 0018-9391
• COBISS.SI-ID: 8721669

Licence

• Licenca: CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
• Opis: Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: management, poslovni model, digitalizacija, umetna inteligenca, Slovenija

Projekti

• Financer: ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
• Številka projekta: P5-0441
• Naslov: Regeneracija ekonomije in posla