International Journal of Knowledge-Based Development (6 papers in press)

Regular Issues

• AI-Powered Startups: Leveraging Artificial Intelligence for Competitive Advantage  
  by Rakesh Kumar Gupta, Bhopendra Singh, Sonia Singh, S. Suman Rajest, Pankaj Gupta 
  Abstract: This study examines startup AI adoption and its effects on business-to-business collaboration, competitiveness, and organisational success, as well as AI adoption best practices and issues. The quantitative study uses a cross-sectional survey of 350 Indian startups by industry and factor and regression analyses to explain AI activities. The analysis found that AI is pervasive, boosting competitive advantage through cost reductions and innovation. AI startups that reduce costs, scale, and improve operations are most likely to succeed. AI's ability to improve customer experience and boost business growth boosts growth and innovation. A strategy plan can overcome high deployment costs, untrained talent, and integration complexity using cost efficiency, talent recruitment, and a good integration process. The report examines how firms may utilise AI to reduce costs, improve process efficiency, and boost customer service to grow. The study's cross-sectional design and lack of longitudinal data to track AI's dynamic effects and changes hinder it.
  Keywords: Entrepreneurship; Artificial Intelligence; Technological Integration; Data-driven decision making; Competitive Advantage.
  DOI: 10.1504/IJKBD.2025.10074432
   
  
• Students attitudes play a mediating role in determining their intentions to use online learning platforms in China  
  by Muhammad Ibrar, Wei Zhang, Hina Qayum, Salim Khan, Farhana Noor, Qaisar Mohi Ud Din, Shahid Karim 
  Abstract: This study aims to discover how attitudes can moderate the positive impacts of using online learning platforms. The structural equation model (SEM) examined the causal relationships between the dependent, mediating, and independent variables. The model was developed and tested using data from an online distance learners (ODL) survey administered during COVID-19 in China, which yielded 468 valid surveys. It was found that students' attitude is the intervening factor mediating the relationship between positive impacts and the tendency to use online learning platforms among international students in China. According to the findings, attitude plays a significant role in shaping the students' intentions toward using online learning platforms in China. It will also enable ODL institutions to create top-notch online learning environments that better meet students' needs and give them the desired advantages.
  Keywords: attitudes; online distance learning; impacts; online learning environments; SmartPLS.
  DOI: 10.1504/IJKBD.2025.10071689
   
  
• Webrooming behaviour studies: a bibliometric analysis  
  by Ali Rafiaani, Ata Harandi, Shadan Vahabzadeh 
  Abstract: Although the prevalence of webrooming behaviour was identified by recent studies, there is a lack of comprehensive literature analysis on this topic. Complementary to the traditional literature review, this study conducts a bibliometric analysis to provide an overview of how the literature on webrooming has evolved over the past decades and an outline of the most affecting factors on customer intentions towards webrooming. The results showed a growing research trend on webrooming, especially among economically developed countries. According to the results of the cooccurrence analysis of the top 43 identified studies, the most influential factors towards web rooming were grouped into three categories: psychological, internet-related concerns and issues associated with online stores. The outcome of this study serves as a foundation for further application of the determined factors in empirical cases and assists retail managers in developing better-targeted strategies to deal with this growing purchasing behaviour.
  Keywords: customer; purchase intention; webrooming; bibliometric analysis; online stores; showrooming; shopping behaviour; cross-channel shopping.
  DOI: 10.1504/IJKBD.2025.10071608
   
  
• Comparative analysis of knowledge management practices in higher education: private vs. public universities  
  by Nasser Easa, Abhilasha Singh, Homyrah Yaqob, Gazi Mahabubul Alam, Ciro Troise, Stefano Bresciani 
  Abstract: Knowledge management (KM) is pivotal for enhancing higher education in emerging markets, fostering innovation, improving decision-making, and increasing institutional efficiency. This study investigates the implementation of KM practices in higher education institutions (HEIs) in the UAE, comparing practices between private and public universities. KM practices were assessed across four dimensions: communication, training and mentoring, KM policy and strategy, and knowledge capture. A total of 416 self-administered questionnaires were utilised to determine the extent of KM practice adoption in UAE HEIs. The findings indicate that all four dimensions are implemented as KM practices in UAE HEIs, with communication being the most frequently practiced activity in both private and public universities. Notably, there are differences in KM practices between private and public universities, with public universities exhibiting a higher degree of training and mentoring, KM policy and strategy, and knowledge capture. Additionally, the study reveals a correlation between the four dimensions. The research concludes with implications, limitations, and recommendations for further study.
  Keywords: knowledge management; practice of knowledge management; HEIs; higher education institutions; private and public universities; UAE.
  DOI: 10.1504/IJKBD.2025.10071830
   
  
• Harnessing big data analytics and artificial intelligence for optimisations of firm performance: moderation of knowledge management  
  by Kun Wang 
  Abstract: This study examines the association between big data analytics (BDA) and firm sustainable performance (FSP). Second, the study ensures the correlation between artificial intelligence technologies and FSP with the moderation of knowledge management (KM) from the perspective of the electronic industry in China. Therefore, this study applied structural equation modelling to assess empirical results. The study found a significant impact of using BDA technologies (e.g., Hadoop, Spark, Storm, Snowflake, and Google BigQuery) on firm performance. Likewise, the study confirmed a positive impact of AI on firm performance which ensured a significant impact of these evolving technologies to optimise the firm performance of the electronic industry. Finally, a positive moderation of KM was confirmed between the direct proposed relationships. Besides, some limitations along with future avenues are reported.
  Keywords: BDA; big data analytics; artificial intelligence; knowledge management; firm performance; electronic industry; SEM; structural equation modelling.
  DOI: 10.1504/IJKBD.2025.10072387
   
  
• Empowering the digital revolution in teaching: merging TAM with social cognitive theory  
  by Kanishka Pathak, Gyan Prakash, Pankaj Kumar Singh, A.K. Subramani, N. Akbar Jan 
  Abstract: Digitisation of education has embarked upon creative waves of transformation in educational pursuits. The study tends to address the behavioural changes induced among students who are engaged in online classes. The proposition of the paper is that digital implements would augment the learning capabilities of the students and lead to higher quantum of satisfaction. We administer the technology acceptance model (TAM) to analyse as to how digitisation is revolutionising the educational firmament. The findings empirically provide academic rigour to TAM and provide fruitful implications in conducting online classes. The striking realm of the study is to infuse Albert Badura's social learning theory with TAM and provides a fecundate perspective to the implications. The findings posit digitisation as a boon and indispensable strategy for educational institutions to achieve positive offshoots of educational goals. The results endorse for educational institutions to alloy digital mediums for transpiring educational goals leading to immersive educational services.
  Keywords: learning; online classes; TAM; technology acceptance model; digitisation; social cognitive theory.
  DOI: 10.1504/IJKBD.2025.10073029