Paper Key : IRJ************587
Author: Muhammad Qurban
Date Published: 01 Dec 2022
Small and medium-sized enterprises (SMEs) create a major contribution to the Pakistani economy, constituting 90% of all businesses and making over 50% of private jobs; this constitutes over 50% of the turnover of all firms in Pakistan. To the present finish, SMEs have an awfully vital economic weight at the national level; reason for selecting our subject. Moreover, SMEs struggle with not having an equivalent ability as massive enterprises to investigate new datasets with vital volume, speed, and selection. Per many studies, SMEs have steadily accepted new BDA scanning technology. The economic contribution of SMEs and therefore the attainable benefits for SMEs from the adoption of massive knowledge Analytics implies that it's vital to check the determinants of acceptance and adoption of massive knowledge Analytics by SMEs.BDAs have more and more appeared as a frontier of opportunities in raising the performance of firms and more significantly SMEs. In this regard, the target of this study is to propose a theoretical model supported by the integration of Human-Organization-Technology (HOT), Technology-Organization-Environment (TOE) and the Technological Acceptance Model (TAM) to spot the key factors touching the acceptance and adoption of massive knowledge and its sequent impact on SMEs supported a reading of the prevailing literature. The results of existing studies indicate that technological, structural, environmental, and human parts are the most important variables that will facilitate SMEsderive business price from the adoption of BDA and increase their performance.
DOI LINK : 10.56726/IRJMETS31857
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