LITERATURE REVIEW
The education sector has long been a site of significant investment in technology, leading to many "success
stories" (Law et al., 2008). However, this optimism is often tempered by a "dual gap" in educational
technology, a "usage gap" and an "outcome gap" (Law et al., 2008). The usage gap highlights the disparity
between how students use technology in their daily lives versus in-school environments, where usage is less
intensive and extensive. The outcome gap reflects the significantly smaller gains in productivity and cost
reduction in education compared to other sectors that have embraced technology (Law et al., 2008). These gaps
stem not from technological shortcomings but from management and cultural issues, such as teacher resistance
due to a lack of training or a fear of job displacement (Castledown, 2024; eLearningIndustry, 2024). A
recurring pattern in EdTech is a cycle of "hype" and promising results from early trials followed by "mixed
results" upon widespread adoption. This highlights a fundamental failure to manage the full lifecycle of
technology adoption. To scale innovation effectively, the research suggests that commercialisation can be the
"fastest and most effective route" for educational innovations (Alicoalition, 2025). This perspective aligns with
"open innovation" models, where companies collaborate with external stakeholders like universities to
leverage cognitive and financial resources (Hillebrand et al., 2015).
A key challenge in this environment is the complexity of marketing. The education sector is a multi-
stakeholder ecosystem that includes students, teachers, parents, and administrators (Rosica, 2025). Traditional
"hub-and-spokes" marketing, which focuses on a single customer, fails to account for this intricate network of
influence (Hillebrand et al., 2015). A revised perspective that views these networks as continuous and
interrelated is essential for effective engagement (Hillebrand et al., 2015). The adoption of innovations in
education also follows Everett Rogers' Diffusion of Innovations theory, which identifies five categories of
adopters: Innovators, Early Adopters, Early Majority, Late Majority, and Laggards (Dincer, 2023). This
framework is critical for managers, as it explains why early successes do not guarantee broader market
penetration.
Beyond adoption, the rapid integration of technology raises significant ethical and equitable concerns. The
"digital divide" remains a persistent challenge, extending beyond mere access to devices and connectivity to
include digital literacy and the quality of technology deployment (JFF, 2020). The design of technology itself
must be inclusive, offering features like multilingual support and dyslexia-friendly fonts to avoid excluding
students. Furthermore, the integration of AI brings profound ethical concerns about data privacy and
algorithmic bias, with nearly seven out of ten parents opposing the sharing of student data with AI software
(Times of India, 2025). A failure of ethics can directly lead to a failure of trust and, ultimately, a failure of
business (Loeb, 2023).
METHODOLOGY
This paper employs a qualitative, desk-based research methodology, synthesising a comprehensive body of
academic literature and real-world case studies to develop a strategic framework for technology-enhanced
learning. The research draws on concepts from technology management, multi-stakeholder marketing theory,
and pedagogical innovation to analyse the complex challenges and opportunities within the EdTech sector.
The framework is built through an analytical review of extant research to identify key trends and persistent
challenges, such as the "dual gap" in technology implementation (Law et al., 2008). A critical component of
the methodology involves an in-depth analysis of specific EdTech case studies, including prominent failures
like Knewton, AltSchool, and Edmodo, as well as a successful integration of iPads in a K-12 school district
(EdSurge, 2021; Loeb, 2023; Morelock, 2011). This approach allows for a "value-added modelling" of
educational interventions by examining the outcomes of different strategies. The findings from this analysis are
then used to formulate actionable recommendations.
The paper's conceptual framework is grounded in established theories, including Everett Rogers' Diffusion of
Innovations, to understand adoption patterns (Dincer, 2023), and stakeholder marketing principles to address
the multi-faceted nature of the educational ecosystem (Hillebrand et al., 2015). By systematically reviewing