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The adoption of big data analytics in Jordanian SMEs: An extended technology organization environment framework with diffusion of innovation and perceived usefulness

Najah Al-shanableh, Mazen Alzyoud, Saleh Al-Omar, Yousef Kilani, Eman Nashnush, Sulieman Ibraheem Shelash Al-Hawary, Ala’a M. Al-Momani · 2024 · International Journal of Data and Network Science

Summary. Jordanian small and medium enterprises face barriers to adopting big data analytics despite recognizing its benefits. This study combined two innovation frameworks to identify factors driving adoption among 388 managers. Relative advantage, compatibility, low complexity, top management support, competitive pressure, and security all increased perceived usefulness, which directly boosted adoption rates. The findings provide guidance for SMEs pursuing digital transformation.

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Al-shanableh, N., Alzyoud, M., Al-Omar, S., Kilani, Y., Nashnush, E., Al-Hawary, S. I. S., & Al-Momani, A. M.. (2024). The adoption of big data analytics in Jordanian SMEs: An extended technology organization environment framework with diffusion of innovation and perceived usefulness. International Journal of Data and Network Science. https://doi.org/10.5267/j.ijdns.2024.1.003

Details

DOI
10.5267/j.ijdns.2024.1.003
Countries
Jordan
Categories
broadband-and-digital, entrepreneurship, innovation-theory, general-innovation
Added
2026-04-28