Understanding The Factors Affecting The Adoption Of Green Computing In The HEI Of Uttarakhand

Anand Singh; Dr. Rahul Kumar Mishra

doi:10.29284/wc5vsm82

Authors

Anand Singh Research Scholar, Department of Computer Applications, IFTM University, Moradabad, India.
Dr. Rahul Kumar Mishra Professor, Department of Computer Applications, IFTM University, Moradabad, India.

DOI:

https://doi.org/10.29284/wc5vsm82

Keywords:

Green computing; HEIs; CFA; SEM; Sustainability; Technology adoption; ICT practices; Uttarakhand.

Abstract

Background: The growing use of ICT in higher education institutions (HEIs) has increased energy consumption, e-waste generation, and environmental burden. Adopting green computing practices is essential, yet limited evidence exists from Uttarakhand’s HEIs.

Objective: To identify the determinants influencing green computing adoption and to develop a validated Green Computing Adoption driving factor Framework for HEIs in Uttarakhand.

Methods: A cross-sectional survey was conducted among 520 faculty and students from government and private HEIs. Awareness was assessed using descriptive statistics. Reliability and validity were evaluated using Cronbach’s alpha, Composite Reliability (CR), Average Variance Extracted (AVE), MSV, and CFA. Structural Equation Modeling (SEM) tested the hypothesized relationships. Model fit was assessed using CFI, TLI, NFI, GFI, AGFI, RMSEA, and χ²/df.

Results: Awareness of green computing practices was moderate to high (overall mean = 3.82 ± 0.63). All constructs showed strong reliability (α = 0.82–0.93) and valid CFA properties (CR = 0.83–0.91; AVE > MSV). The structural model demonstrated excellent fit (CFI = 0.995; TLI = 0.994; RMSEA = 0.017). Ten determinants significantly influenced intention to adopt green computing—compatibility, usability, top management support, facilitating conditions, organizational policy, incentives, government regulation, subjective norms, perceived behavioral control, and attitude. Relative advantage, complexity, competitive pressure, innovativeness and social influence were not significant. Intention showed a significant effect on implementation (β = 0.20, p = 0.048).

Conclusion: Adoption of green computing in HEIs is primarily driven by institutional support, ease of use, and behavioural determinants rather than external pressures. The validated framework offers actionable insights for policy development and sustainable ICT implementation in Uttarakhand’s higher education sector.

References

1. Liu S, Thurasamy R, Hati SRH. Determinants and Outcomes of Green Technology Innovation Adoption among Third-Party Logistics Firms in China: A SEM-ANN Analysis. Systems. 2024;12(9):331. doi:10.3390/systems12090331.

2. da Silva AR, Cirani CBS, Serra FAR, Pigola A, da Costa PR, Scafuto IC, et al. Determining Factors on Green Innovation Adoption: An Empirical Study in Brazilian Agribusiness Firms. Sustainability. 2023;15(7):6266. doi:10.3390/su15076266.

3. Alraja MN, Imran R, Khashab BM, Shah M. Technological Innovation, Sustainable Green Practices and SMEs Sustainable Performance in Times of Crisis (COVID-19 pandemic). Inf Syst Front. 2022; (online ahead of print). doi:10.1007/s10796-022-10250-z.

4. Ribeiro MPL, Silva EAL, Ferreira JL. Adoption phases of Green Information Technology in organizations. Technol Forecast Soc Change. 2021; (online ahead of print). doi:10.1016/j.techfore.2021.120347.

5. Thomas R, Manjaly FJ. Approaches in Green Computing. Int J Eng Res Technol (IJERT). 2015;3(28):489-856.

6. Weng MH, Lin CY. Determinants of green innovation adoption for small and medium-size enterprises (SMEs). Afr J Bus Manag. 2011;5(22):9154-63.

7. Deng Q, Ji S. Organizational Green IT Adoption: Concept and Evidence. Sustain. 2015;7(12):15843-66.

8. Ribeiro MPL, Silva EAL, Ferreira JL. Adoption phases of Green Information Technology in organizations. Technol Forecast Soc Change. 2021; (online ahead of print). doi:10.1016/j.techfore.2021.120347.

9. Jun W, Cai S, Liu S, Xie F. Examining the determinants of green innovation adoption in SMEs. Eur J Innov Manag. 2021;24(1):67-86.

10. Han MS, Park YT, Choi I. Determinants of eco-innovation adoption of small and medium-sized enterprises. Technol Forecast Soc Change. 2021;170:120 952.

11. Wasiq M, Kamal M, Ali N. Factors Influencing Green Innovation Adoption and Its Impact on the Sustainability Performance of Small- and Medium-Sized Enterprises in Saudi Arabia. Sustainability. 2023;15(3):2447.

12. Liu Y, et al. ESG performance, digital transformation, and green innovation: evidence from China. Humanities & Social Sciences Communications. 2025;12:60-27.

13. Chiou T-Y, Chan HK, Lettice F, Chung SH. The influence of greening the suppliers and green innovation on environmental performance and competitive advantage. Transp Res E Logist Transp Rev. 2011;47(6):822–36. doi:10.1016/j.tre.2011.05.016.

14. Forgione AF, Miglietta PP, Parente P. Green innovation and environmental performance: Evidence from European manufacturing firms. Environ Sci Pollut Res. 2023;30:10945–58. doi:10.1007/s11356-022-21891-3.