Key Technology Adoption Indicators for Smart Universities: A Preliminary Proposal

Bautista, Dewar Rico; Guerrero, Cesar D.; Collázos, César A.; Maestre-Góngora, Gina; Sánchez-Velásquez, María Camila; Medina-Cárdenas, Yurley; Sánchez, Diana Teresa Parra; Barreto, Antón García; Swaminathan, Jose

doi:10.1007/978-981-16-6309-3_61

Cited by 4 publications

(2 citation statements)

References 30 publications

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“…University administrators, industry, and policymakers need to know the crucial issues of smart campus comprising specific technologies, organizational traits, environmental values and the enduser requirements to improve the adoption and utilization of IoT-based smart campus effectively [77]. Moreover, a university transition to smart campus in adopting smart technology is oriented to the improvement of processes outlining evolution paths and prioritize improvement measures, forming a roadmap that facilitates decision-making [120].…”

Section: Decision-makingmentioning

confidence: 99%

The Making of Smart Campus: A Review and Conceptual Framework

et al. 2023

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Smart campus is an emerging concept enabled by digital transformation opportunities in higher education. Smart campuses are often perceived as miniature replicas of smart cities and serve as living labs for smart technology research, development, and adoption, along with their traditional teaching, learning and research functions. There is currently a limited understanding of how the smart campus is conceptualized and practiced. This paper addresses this gap by using a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. The study uses four major domains of the smart campus, i.e., society, economy, environment, and governance, to classify existing research. These domains are each aligned to the central smart campus concepts of digital technology and big data. The analysis found little evidence of a comprehensive real-world application of the smart campus towards addressing all four domains. This highlights the infancy of the current conceptualization and practice. The findings contribute to the development of a new conceptual foundation and research directions for the smart campus notion and informs its practice through a conceptual framework. The findings reported in this paper offer a firm basis for comprehensive smart campus conceptualization, and also provide directions for future research and development of smart campuses.

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Section: Decision-makingmentioning

confidence: 99%

The Making of Smart Campus: A Review and Conceptual Framework

et al. 2023

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“…Moreover, Rico-Bautista et al [77] proposed a preliminary set of key technology adoption indicators for smart universities, which could be useful in promoting the adoption of the IoT in education. These studies shed light on the potential benefits and challenges of the IoT in education and provide insights into the factors influencing its adoption.…”

Section: Iot Adoption In Educationmentioning

confidence: 99%

IoT Adoption Model for E-Learning in Higher Education Institutes: A Case Study in Saudi Arabia

Ali,

Madni,

Jahangeer

et al. 2023

Sustainability

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The realm of the Internet of Things (IoT), while continually transforming as a novel paradigm in the nexus of technology and education, still contends with numerous obstacles that hinder its incorporation into higher education institutions’ (HEIs) e-learning platforms. Despite substantial strides in IoT utilization from industrialized nations—the United States, the United Kingdom, Japan, and China serving as prime exemplars—the scope of its implementation in developing countries, notably Saudi Arabia, Malaysia, Pakistan, and Bangladesh, lags behind. A significant gap exists in research centered on the trajectory of IoT integration within e-learning systems of economically disadvantaged nations. Specifically, this study centers on Saudi Arabia to illuminate the main factors catalyzing or encumbering IoT uptake within its HEIs’ e-learning sector. As a preliminary step, this research has embarked on an exhaustive dissection of prior studies to unearth critical variables implicated in the IoT adoption process. Subsequently, we employed an inferential methodology, amassing data from 384 respondents in Saudi Arabian HEIs. Our examination divulges that usability, accessibility, technical support, and individual proficiencies considerably contribute to the rate of IoT incorporation. Furthermore, our data infer that financial obstacles, self-efficacy, interactive capability, online surveillance, automated attendance tracking, training programs, network and data safeguarding measures, and relevant tools significantly influence IoT adoption. Contrarily, factors such as accessibility, internet quality, infrastructure preparedness, usability, privacy concerns, and faculty support appeared to have a negligible impact on the adoption rates within HEIs. This research culminates in offering concrete recommendations to bolster IoT integration within Saudi Arabian HEIs, presenting valuable insights for government entities, policy architects, and HEIs to address the hurdles associated with IoT implementation in the higher education sector.

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