Aug 2026· Asian Research Journal of Arts & Social Sciences· Vol 24, pp. 66-72· 0 citations
TL;DR
The findings indicate that AI Adoption and Digital Transformation Capability did not significantly predict Export Performance in the selected sample and highlights the need for cautious interpretation of technology-related capabilities in the context of export-oriented SMEs.
Abstract
Artificial Intelligence (AI) has become an important technology for improving business efficiency, supporting innovation, and strengthening competitiveness in global markets. This study examines the relationships among AI adoption, digital transformation capability, and export performance among export-oriented small and medium-sized enterprises (SMEs) in Coimbatore. A quantitative approach with a cross-sectional survey design was employed. Primary data were collected from 120 owners, export managers, and senior executives using a structured questionnaire and purposive sampling. The data were analyzed using descriptive statistics, Pearson correlation, and multiple regression analysis. The results indicated weak relationships among the study variables. AI Adoption had a very weak positive correlation with Export Performance (r = 0.067), while its correlation with Digital Transformation Capability was negligible (r = -0.009). Digital Transformation Capability also showed virtually no correlation with Export Performance (r = -0.001). The regression model explained approximately 0.5% of the variation in Export Performance (R² = 0.005) and was not statistically significant (F = 0.271, p = 0.763). The findings indicate that AI Adoption and Digital Transformation Capability did not significantly predict Export Performance in the selected sample. Other organizational and market factors may therefore contribute more substantially to variation in SME export performance. The study highlights the need for cautious interpretation of technology-related capabilities in the context of export-oriented SMEs.
Digital accounting with artificial intelligence technology represents a crucial means for facilitating the productivity and competitiveness of small and medium enterprises in developing countries. In regard to the state of Pakistan, the implementation and use of accounting software with artificial intelligence technology in SMEs has yet to reach satisfactory standards despite the crucial part played by SMEs regarding economic resilience in the country. This research aims to explore the crucial factors of the implementation process of accounting software with artificial intelligence technology from a quantitative research perspective. In order to discuss the research objectives and achieve its aims, the research employs the technology acceptance model and organization environment theory. A cross-sectional research design method was adopted to investigate 250 owners/managers of SMEs in the main Pakistani cities. To determine the values of perceptual variables, a 5-point Likert scale was adopted; yet, adoption is a binary variable. By using logistic regression analysis, hypotheses were tested. The results indicate that perceived ease of use and competitive pressure are significant positive predictors, yet perceived cost and security concerns are significant negative predictors. A positive relationship between the owner’s level of education and adoption is marginally significant. The Nagelkerke R² is 58%. The results indicate that, apart from using the basic applications developed through this technology, the adoption mechanism is itself a complex process that is fueled by cost and data security concerns. Implications of this research study would include developing cost-effective models by software companies regarding data security or designing a subsidy program by governments, according to the cost and/or data security concerns of Pakistani SME businessmen.
Khuram Shahzad· Revista Academicus: Revista...· 0 citations
It is indicated that AI-based design technology can enhance promotional effectiveness, strengthen brand identity consistency, and support faster, more accurate, and adaptive decision-making processes in response to market dynamics.
Khairunnisa Aghniya Putri, Fanesa Agustina, Hana Fauziah Rahayu et al.· International Journal Admini...· 0 citations
Examining the impact of Artificial Intelligence adoption on the economic, environmental, and social dimensions of sustainable business performance among Indian MSMEs is expected to demonstrate that AI adoption significantly improves operational efficiency, innovation capability, environmental responsibility, and financial performance among MSMEs.
Dr.K. Surendran· International Journal of Dru...· 0 citations
This study investigates how AI adoption enhances organizational innovation capability and, in turn, improves economic, environmental, and social dimensions of business performance, and links digital transformation with sustainability outcomes.
S. P, Sriharan M, S. P et al.· International Journal for Re...· 0 citations
Artificial intelligence (AI) is used in logistics, but the mechanisms linking AI utilization to firm performance remain insufficiently differentiated. Drawing on the information technology business value perspective and dynamic capabilities theory, this study examines whether managers’ perceptions of logistics-oriented AI utilization are associated with perceived firm performance through innovation capability and logistics efficiency, with managerial support treated as a secondary boundary condition. Cross-sectional survey data from 254 middle- and senior-level managers in Chinese logistics firms were analyzed using IBM SPSS Statistics 27 and IBM SPSS Amos 29 (IBM Corp., Armonk, NY, USA), and the PROCESS macro version 4.2 (Andrew F. Hayes, Calgary, AB, Canada), with Model 83 and 5000 bootstrap samples. Perceived AI utilization was positively associated with innovation capability, logistics efficiency, and perceived firm performance. Both mediators showed significant indirect effects, and their sequential indirect effect was also significant. The two individual indirect effects did not differ significantly, but both exceeded the sequential indirect effect. The proposed sequential, reverse-sequence, and parallel-mediation models produced identical fit indices, whereas the restricted direct-effects model showed weaker fit. Neither the AI utilization–managerial support interaction nor the moderated mediation indices was significant. Exploratory item-level analyses showed differentiated associations for demand forecasting and order allocation and for AI infrastructure; the pattern remained stable among 194 respondents involved in AI- or digital transformation-related activities. Innovation capability and logistics efficiency appear to function as complementary mechanisms, with a smaller capability-to-process pathway. Their relative ordering cannot be determined from the cross-sectional data. As the data are self-reported, the findings represent associations among managerial perceptions rather than objective causal effects. Sustainability implications are limited to operational efficiency because environmental outcomes were not directly measured.
Economic intelligence has become a strategic capability for organizations operating in competitive and information-intensive environments. This article examines the contribution of economic intelligence to organizational performance and competitive advantage among Moroccan enterprises. Drawing on a quantitative survey of 260 enterprises operating in commerce, services, industry and agri-food sectors, the study analyzes how strategic monitoring, information sharing, knowledge management, digital tools, formal intelligence units and information integration are associated with performance-related outcomes. The findings show that 68.4% of surveyed enterprises consider economic intelligence well or very well aligned with organizational needs, while 68.5% perceive an important or very important contribution to competitive advantage. Moreover, 72.3% report a significant or very significant improvement in performance. Bivariate analyses confirm statistically significant associations between several economic intelligence practices and turnover, growth, profitability, innovation, responsiveness and competitiveness. The strongest relationships concern maturity of the intelligence system, knowledge management, information integration and training. The article concludes that economic intelligence should not be treated as a peripheral monitoring function, but as an integrated managerial system linking information acquisition, analysis, protection, dissemination and strategic action. Practical recommendations are proposed for Moroccan enterprises seeking to improve competitiveness through structured intelligence practices.
Adil EL yaakoubi, Brahim Kirmi· Engineering and Technology J...· 0 citations