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Comparing Critical Factors for Big Data Analytics (BDA) Adoption Among Malaysian Manufacturing and Construction SMEs
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Comparing Critical Factors for Big Data Analytics (BDA) Adoption Among Malaysian Manufacturing and Construction SMEs (2023)Comparing Critical Factors for Big Data A…Big Data and Big Data Analytics (2022)Big Data and Big Data Analyti…A Bibliometric Review of Big Data in Finance (2021)A Bibliometric Review of Big …UNDERSTANDING DETERMINANTS OF CLOUD COMPUTING ADOPTION USING AN INTEGRATED DIFFUSION OF INNOVATION (DOI)-TECHNOLOGICAL, ORGANIZATIONAL AND ENVIRONMENTAL (TOE) MODEL (2020)UNDERSTANDING DETERMINANTS OF…The barriers to big data adoption in developing economies (2020)The barriers to big data adop…Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review (2020)Influences of the Industry 4.…Predictive and Prescriptive Analytics in Big-data Era (2019)Predictive and Prescriptive A…Managing the Disruptive and Sustaining the Disrupted: The Case of Kodak and Fujifilm in the Face of Digital Disruption (2018)Managing the Disruptive and S…Making Big Sense From Big Data (2018)Making Big Sense From Big DataInfluence of big data adoption on manufacturing companies' performance: An integrated DEMATEL-ANFIS approach (2018)Influence of big data adoptio…Big Data and Big Data Analytics: concepts, types and technologies (2018)Big Data and Big Data Analyti…Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh (2018)Barriers to big data analytic…Examining the factors influencing knowledge management system (KMS) adoption in small and medium enterprises SMEs (2017)Examining the factors influen…Big data, big data quality problem (2015)Big data, big data quality pr…The Technology–Organization–Environment Framework (2011)The Technology–Organization–E…NEW TECHNOLOGY, WORK ORGANISATION, AND INNOVATION (2008)NEW TECHNOLOGY, WORK ORGANISA…Adoption of New Technology (2003)Adoption of New TechnologyPerceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)User Acceptance of Information Technology: Toward A Unified View1 (2003)Cloud computing adoption by SMEs in the north east of England (2013)Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs (2019)A supply chain transparency and sustainability technology appraisal model for blockchain technology (2020)Network externalities, competition, and compatibility (1985)Architectural Innovation: The Reconfiguration of Existing Product Technologies and the Failure of Established Firms (1990)Investment Under Uncertainty. 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References

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  • 2020UNDERSTANDING DETERMINANTS OF CLOUD COMPUTING ADOPTION USING AN INTEGRATED DIFFUSION OF INNOVATION (DOI)-TECHNOLOGICAL, ORGANIZATIONAL AND ENVIRONMENTAL (TOE) MODEL

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35 cited
  • 2018Making Big Sense From Big Data32 cited
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