Technology Readiness and Infrastructure
- Indbinding:
- Paperback
- Sideantal:
- 212
- Udgivet:
- 22. september 2023
- Størrelse:
- 152x12x229 mm.
- Vægt:
- 315 g.
- 8-11 hverdage.
- 10. december 2024
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Forlænget returret til d. 31. januar 2025
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Technology Readiness and Infrastructure
The purpose of this qualitative descriptive study was to explore how innovation, organization, and environmental factors influence executive management to adopt big data for strategic decision-making in an electric utility in the southwestern United States. This study was guided by the intention to adopt big data conceptual framework, which considered big
data as a foundational concept instead of technology. Three research questions were explored to uncover the influencing factors of big data adoption: How do executive managers describe the influence of ( I) innovation factors, (2) organization factors, and (3) environmental factors on adopting big data forstrategic decision-making? The sample included 14 executive management in the electric utility industry. Data collection included individual semi-structured interviews and
two focus groups. Thematic analysis and descriptive coding were used to analyzethe collected data. Five significant themes were found to influence the adoption of big data: cost factors, business strategy, organizational culture, uncertainty/risk, and customers/relationshi
data as a foundational concept instead of technology. Three research questions were explored to uncover the influencing factors of big data adoption: How do executive managers describe the influence of ( I) innovation factors, (2) organization factors, and (3) environmental factors on adopting big data forstrategic decision-making? The sample included 14 executive management in the electric utility industry. Data collection included individual semi-structured interviews and
two focus groups. Thematic analysis and descriptive coding were used to analyzethe collected data. Five significant themes were found to influence the adoption of big data: cost factors, business strategy, organizational culture, uncertainty/risk, and customers/relationshi
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