Systematic Literature Review

A Systematic Literature Review (SLR) is a research methodology originating from evidence-based medicine. It aims to minimize bias by using explicit, systematic methods to collect, critically appraise, and synthesize all relevant studies on a specific topic. The process follows a pre-defined protocol, ensuring transparency and replicability. While not an ISO standard itself, its principle of using the "best available information" aligns with the ISO 31000 risk management framework. In practice, an SLR helps organizations identify "state of the art" security measures as required by GDPR Article 32, providing an evidence-based foundation for implementing a Privacy Information Management System (PIMS) compliant with ISO/IEC 27701 and demonstrating due diligence in control selection.

An SLR enables evidence-based risk management decisions. The process involves three key steps: 1) Scoping and Protocol Development: Define a clear research question (e.g., "What are the most effective threat modeling techniques for IoT devices?") and create a detailed protocol outlining search strategies and inclusion/exclusion criteria. 2) Systematic Search and Screening: Conduct exhaustive searches across multiple academic and industry databases (e.g., ACM Digital Library, Scopus) and screen results transparently to mitigate selection bias. 3) Data Extraction and Synthesis: Extract key data points (e.g., technique effectiveness, resource requirements, limitations) from selected studies and synthesize the findings to generate actionable recommendations. For example, a global logistics company used an SLR to evaluate supply chain cybersecurity frameworks, resulting in the adoption of a hybrid model that reduced security incidents by 40% within the first year.

Taiwan enterprises face three primary challenges: 1) Resource Constraints: Many SMEs lack in-house expertise in research methodologies and cannot afford expensive academic database subscriptions. 2) Language Barriers: The majority of high-impact research is published in English, creating a barrier for local teams. 3) Academia-Practice Gap: Academic findings can be too theoretical to directly translate into practical controls that align with Taiwan's Personal Data Protection Act (PDPA) and local business contexts. To overcome these, companies should partner with expert consultants like Winners Consulting to leverage their resources and expertise. Internally, they can cultivate a small, cross-functional team and use AI tools for translation and summarization. Finally, facilitated workshops can help translate research evidence into customized, actionable internal policies and procedures, prioritizing high-priority compliance risks.

Winners Consulting specializes in Systematic literature review for Taiwan enterprises, delivering compliant management systems within 90 days. Free consultation: https://winners.com.tw/contact