| dc.contributor.author | Mukiri, Judy Francis | |
| dc.contributor.author | Munga, Jane | |
| dc.contributor.author | Muema, Wilson | |
| dc.date.accessioned | 2026-04-15T15:58:14Z | |
| dc.date.available | 2026-04-15T15:58:14Z | |
| dc.date.issued | 2025-09 | |
| dc.identifier.citation | Mukiri, J. F., Jane Munga & Wilson Muema (2025). Effects of Technological Integration on Performance of Hotel Industry in Kenya. Academic Journal of Humanities and Social Sciences Research, 3(1), 1–14. https://doi.org/10.5281/zenodo.17034442 | en_US |
| dc.identifier.uri | https://doi.org/10.5281/zenodo.17034442 | |
| dc.identifier.uri | http://repository.kemu.ac.ke/handle/123456789/2297 | |
| dc.description.abstract | Kenya's hotel industry faces significant challenges including intense competition, rising
operational costs, inconsistent service quality, and evolving guest expectations for digital services.
Many hotels have been slow to adopt comprehensive technological solutions, creating a gap
between potential benefits of technology integration and actual performance improvements realized.
This study investigated the effect of technological integration on the performance of Kenya's hotel
industry. The research was grounded in the Technology Acceptance Model, which explains
technology adoption through perceived usefulness and ease of use factors. A descriptive research
design was employed targeting eight Accor hotels in Kenya. The study population comprised 168
individuals including frontline staff, customer care representatives, and managers. Using stratified
random sampling and Yamane's formula, a sample size of 118 participants was selected. Data
collection utilized structured questionnaires, achieving an excellent response rate of 81.4% with 96
completed responses. Quantitative data analysis was conducted using SPSS version 27.0, employing
descriptive statistics and regression analysis. The regression analysis revealed compelling findings
demonstrating a strong positive relationship between technological integration and hotel
performance (R = 0.806). Technology integration explained 72.5% of performance variance (R2 =
0.725), with the regression coefficient (β = 0.735) indicating substantial performance enhancement
per unit technology improvement. Statistical significance was confirmed through ANOVA results
(F = 112.891, p < 0.001) and coefficient testing (t = 10.626, p < 0.001). The study therefore
concluded that technological integration serves as a primary driver of hotel success in Kenya's
hospitality sector. The study hence recommended that hotels should prioritize comprehensive
technology investment, focus on guest service technologies, invest in human capital development,
foster industry collaboration, and implement robust performance monitoring systems to achieve
sustained competitive advantage. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Academic Journal of Humanities and Social Sciences Research, | en_US |
| dc.relation.ispartofseries | V,3;(1) | |
| dc.subject | Technological Integration, | en_US |
| dc.subject | Hotel Performance, | en_US |
| dc.subject | Digital Transformation, | en_US |
| dc.subject | Hospitality Industry. | en_US |
| dc.title | Effects of Technological Integration on Performance of Hotel Industry in Kenya. | en_US |
| dc.type | Article | en_US |