18
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The Adoption of Digital Technologies by Small and Medium-Sized Enterprises for Sustainability and Value Creation in Pakistan: The Application of a Two-Staged Hybrid SEM-ANN Approach

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Digital technologies have revolutionized the business field, offering significant opportunities for small and medium-sized enterprises (SMEs) to enhance sustainability and value creation. This study investigates the impact of digital technology adoption on economic and social value creation, as well as SME performance. Specifically, it examines how social media applications, big data analytics, IoT applications, blockchain applications, and AI-enabled applications influence economic and social value within SMEs. We employed a hybrid approach integrating Structural Equation Modeling (SEM) and Artificial Neural Network (ANN) techniques using SmartPLs 4.0 Application; this research analyzes these relationships. For our analysis, data were collected from 305 SME managers operating in Upper Sindh, Pakistan, specifically from major cities like Sukkur, Larkana, Shikarpur, Jacobabad, and Khairpur. The findings reveal that social media applications, big data analytics, IoT applications, and blockchain applications significantly contribute to both economic and social value creation for SMEs. Conversely, AI-enabled applications show no significant impact on value creation. Importantly, economic and social value creation positively correlates with enhanced SME performance. This study enriches our understanding of how digital technologies influence SMEs in Pakistan, particularly in enhancing economic and social value creation. Through advanced methodologies and rigorous analysis, it bridges theory with practical applications in SMEs’ digital transformation.

          Related collections

          Most cited references161

          • Record: found
          • Abstract: not found
          • Article: not found

          A new criterion for assessing discriminant validity in variance-based structural equation modeling

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Structural equation modeling in practice: A review and recommended two-step approach.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Firm Resources and Sustained Competitive Advantage

              Jay Barney (1991)
              Understanding sources of sustained competitive advantage has become a major area of research in strategic management. Building on the assumptions that strategic resources are heterogeneously distributed acrossfirms and that these differences are stable over time, this article examines the link betweenfirm resources and sustained competitive advantage. Four empirical indicators of the potential of firm resources to generate sustained competitive advantage-value, rareness, imitability, and substitutability-are discussed. The model is applied by analyzing the potential of severalfirm resourcesfor generating sustained competitive advantages. The article concludes by examining implications of this firm resource model of sustained competitive advantage for other business disciplines.
                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                SUSTDE
                Sustainability
                Sustainability
                MDPI AG
                2071-1050
                September 2024
                August 26 2024
                : 16
                : 17
                : 7351
                Article
                10.3390/su16177351
                bdf686dd-d8d5-4656-899b-d91aac4d65ab
                © 2024

                https://creativecommons.org/licenses/by/4.0/

                History

                Comments

                Comment on this article