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Top management knowledge value, knowledge sharing practices, open innovation and organizational performance

Singh, Sanjay K.; Gupta, Shivam; Busso, Donatella; … - In: Journal of business research : JBR 128 (2021), pp. 788-798

Persistent link: https://www.econbiz.de/10012494540

Designing a collaborative product development process from a knowledge management perspective

Benabdellah, Abla Chaouni; Zekhnini, Kamar; Bag, Surajit; … - In: Journal of knowledge management 28 (2024) 8, pp. 2383-2412

Persistent link: https://www.econbiz.de/10015323760

AI-empowered KM processes for decision-making : empirical evidence from worldwide organisations

Leoni, Luna; Gueli, Ginetta; Ardolino, Marco; Panizzon, … - In: Journal of knowledge management 28 (2024) 11, pp. 320-347

Persistent link: https://www.econbiz.de/10015324026

An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance

Bag, Surajit; Gupta, Shivam; Kumar, Ajay; Sivarajah, … - In: Industrial marketing management : the international … 92 (2021), pp. 178-189

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Challenges for developing health-care knowledge in the digital age

Alrahbi, Dana Abdullah; Khan, Mehmood; Gupta, Shivam; … - In: Journal of knowledge management 26 (2022) 4, pp. 824-853

Persistent link: https://www.econbiz.de/10013380862

Health-care information technologies for dispersed knowledge management

Alrahbi, Dana Abdulla; Khan, Mehmood; Gupta, Shivam; … - In: Journal of knowledge management 26 (2022) 6, pp. 1589-1614

Persistent link: https://www.econbiz.de/10013383346

Big data and firm marketing performance : findings from knowledge-based view

Gupta, Shivam; Justy, Théo; Kamboj, Shampy; Kumar, Ajay; … - In: Technological forecasting & social change : an … 171 (2021), pp. 1-15

Persistent link: https://www.econbiz.de/10012814257

AI-empowered KM processes for decision-making: empirical evidence from worldwide organisations

Leoni, Luna; Gueli, Ginetta; Ardolino, Marco; Panizzon, … - In: Journal of Knowledge Management 28 (2024) 11, pp. 320-347

Purpose This paper aims to provide empirical evidence on adopting artificial intelligence (AI), including generative AI, in knowledge management (KM) processes and its impact on organisational decision-making. Specifically, the study addresses three key research questions: RQ1: How is...

Persistent link: https://www.econbiz.de/10015351390