A Systematic Self-Review of Electronic Searching Studies (2002–2021): Training, Infrastructure, and Institutional Contexts

Abstract

This study conducted a systematic review (SR) of the author’s research program on electronic searching published between 2002 and 2021. A total of seventeen studies were identified and organized into five thematic clusters: electronic information infrastructure, factors affecting electronic searching, electronic searching skills and training, integration of electronic resources in teaching and research, and policies, intellectual property, and e transformation. Together, these studies provide a comprehensive account of the conditions, competencies, and institutional arrangements that shape effective electronic searching in higher education contexts. Findings across the corpus indicate that successful electronic searching involves a combination of individual skill development, supportive institutional environments, and efficient technological infrastructure. Gaps in connectivity, system design, metadata quality, and resource availability directly influence users’ ability to locate and retrieve information. Fragmented databases, limited access to full text materials, and inconsistent archiving practices, were found to hinder researchers’ performance. Results also demonstrate that electronic searching skills do not emerge spontaneously but require explicit instruction, guided practice, and exposure to diverse digital tools that appear to consistently improve users’ confidence, accuracy, and efficiency. Training programs that emphasized search strategies, evaluation of digital sources, and searching specialized databases yielded noticeable gains among faculty, graduate students, and library staff. Additionally, integrating electronic resources into teaching and research both enhances and depends on improved searching practices. When electronic resources are embedded within coursework and research tasks, learners demonstrate stronger engagement and more sophisticated information handling behaviors. However, such integration is only effective when supported by institutional policies, training initiatives, and technological systems that facilitate access and encourage sustained use. Moreover, the SR highlights the role of policy frameworks, intellectual property regulations, and institutional leadership in shaping the broader digital environment. Alignment between pedagogy, infrastructure, and policy was shown to be critical for enabling effective electronic searching across academic settings. Finally, this study recommends that researchers use AI supported search tools. However, they should be aware of their limitations. AI systems may generate incomplete or biased search results, overlook domain specific sources, or misinterpret queries that require disciplinary nuance. They should critically evaluate AI generated outputs, verify retrieved sources through authoritative databases as Google Scholar.