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1 – 2 of 2Diana Korayim, Aqueeb Sohail Shaik, Reeti Agarwal, Shivinder Nijjer and Pasquale Sasso
The purpose of this study is to examine the connections between knowledge-based economies, entrepreneurial orientation (EO), sustainable business model innovation and technology…
Abstract
Purpose
The purpose of this study is to examine the connections between knowledge-based economies, entrepreneurial orientation (EO), sustainable business model innovation and technology transfer (TT). This study specifically investigates whether TT might foster EO and long-term business model innovation in small and medium-sized enterprises (SMEs). This study focuses on economies that are knowledge-based, where information is viewed as a vital resource for economic growth.
Design/methodology/approach
This study uses structural equation modelling method and a quantitative research strategy to analyse data gathered from 309 SMEs in knowledge-based economies. A survey questionnaire created to examine the relevant factors was used to gather the sample data from PROLIFIC platform using judgemental sampling technique.
Findings
This study’s conclusions point to an association between TT and EO that is favourable, SMEs’ ability to use TT to strengthen their EO and the significance of EO in fostering innovation in SMEs. This study offers empirical proof of the role that TT may play in fostering innovation in sustainable business models and EO in SMEs.
Research limitations/implications
Policymakers, business professionals and academic researchers who are interested in the function of TT in knowledge-based economies will find it to be a helpful source of information. According to this study’s results, TT can assist SMEs in using outside expertise and assets to grow their entrepreneurial capacities, promote innovation and build long-term business strategies.
Originality/value
This study provides empirical evidence of the role of TT in fostering innovation within sustainable business models and cultivating EO within SMEs, contributing to the literature on these critical topics.
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Keywords
Diana Korayim, Rahul Bodhi, Saeed Badghish, Muhammad Zafar Yaqub and Rosario Bianco
The research on intellectual capital focuses on the role of innovative technologies in organizational systems, particularly in knowledge generation and learning processes. This…
Abstract
Purpose
The research on intellectual capital focuses on the role of innovative technologies in organizational systems, particularly in knowledge generation and learning processes. This study addresses the third stage of intellectual capital research, emphasizing how innovative technologies like generative AI (Gen AI) applications can enhance learning experiences, individual talents and personalized learning. Based on the WEST model, this study examines the relationship between attitude, competency, experience, Gen AI integration and managers’ creative involvement. Additionally, it investigates the direct and mediating roles of Gen AI integration and managers’ creative involvement in improving learning effectiveness.
Design/methodology/approach
A cross-sectional survey of managers from organizations operating in diverse sectors of Saudi Arabia was conducted using a web-administered structured questionnaire. PLS-based structural equation modeling was employed to assess the hypothesized relationships.
Findings
The results revealed that the manager’s Gen AI experience, competency, attitude and access positively affect its integration. However, only Gen AI competence and attitudes demonstrated the same positive impact on managers’ creative involvement. Furthermore, Gen AI integration and creative involvement positively and significantly impact learning effectiveness. The study also uncovered the positive mediation of Gen AI integration in enabling all four antecedents to enhance learning effectiveness. However, the mediation of creative involvement was corroborated only for the Gen AI attitudes and competence.
Originality/value
This study examines how integrating innovative technologies, such as generative AI, enhances the learning experience, develops individual talents and personalizes learning in workplace contexts at the managerial level. By providing new insights into the dynamics of generative AI integration in workplace settings, it significantly contributes to the generative AI literature.
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