Exploring enablers and inhibitors of smart campus business-IT alignment: a dual-factor theoretical model
Joshy K.X. & Rahul Thakurta
What the paper says
Purpose In recent years, traditional campuses have transformed into digital and smart campuses, reflecting broader service sector trends. However, achieving smart campus goals requires integrating technology with pedagogy and strategic considerations. Despite extensive literature, challenges persist in integration. The alignment between technological and institutional considerations is crucial but remains relatively unexplored. This study investigates enablers and inhibitors of smart campus business-IT alignment. Design/methodology/approach By drawing on the theoretical discourse of business-IT alignment, historically focused on understanding the interplay between business operations and IT, the authors’ research positions smart campus integration challenges within this framework. The research adopts a qualitative approach, conducting interviews with 24 participants from IT services, academic and administrative domains. Insights from the interviews led to identifying core categories of enablers and inhibitors of smart campus alignment. Findings This study identifies nine core categories of enablers and inhibitors of smart campus alignment. Building on this, the authors propose a dual-factor theoretical model of smart campus alignment to integrate these enablers and inhibitors towards influencing smart campus alignment outcomes. The model separates the enablers and the inhibitors, showcasing the importance of strategic alignment between institutional and technological considerations in achieving smart campus goals. Originality/value This research contributes to the discourse on business-IT alignment in academic settings, extending its application to smart campuses. Identifying enablers and inhibitors provides theoretical and practical insights for institutions aiming to integrate smart technologies effectively. The study’s implications inform policy and strategic decision-making, enhancing the likelihood of successful smart campus implementation.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.