Assessment of Circular Economy Practices in a Regional Electronics Repair Network | Blazingprojects Postgraduate Thesis
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Assessment of Circular Economy Practices in a Regional Electronics Repair Network

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.
  • 1.1Introduction
  • 2.
  • 1.2Background of the Study
  • 3.
  • 1.3Statement of the Problem
  • 4.
  • 1.4Aim and Objectives of the Study
  • 5.
  • 1.5Research Questions
  • 6.
  • 1.6Research Hypotheses
  • 7.
  • 1.7Significance of the Study
  • 8.
  • 1.8Scope and Delimitation of the Study
  • 9.
  • 1.9Limitations of the Study
  • 10.
  • 1.10Organisation of the Study
  • 11.
  • 1.11Operational Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 1.
  • 2.1Conceptual Review: Defining Circular Economy in Electronics Repair
  • 2.
  • 2.2Conceptual Review: Repair networks and regional economic resilience
  • 3.
  • 2.3Theoretical Framework: Resource-Based View and Circular Economy Theory
  • 4.
  • 2.4Theoretical Framework: Institutional Theory and Innovation Systems
  • 5.
  • 2.5Empirical Review: Circular Practices in Electronics Repair Industry
  • 6.
  • 2.6Empirical Review: Material Reuse, Repairability, and Trade-offs
  • 7.
  • 2.7Empirical Review: Business Model Innovation in Repair Networks
  • 8.
  • 2.8Empirical Review: Policy and Regulatory Impacts on E-waste Circularity
  • 9.
  • 2.9Empirical Review: Social and Consumer Dimensions of Repair Behavior
  • 10.
  • 2.10Gaps in the Literature: Underexplored Aspects of Regional Repair Clusters
  • 11.
  • 2.11Conceptual Model: Synthesis of Constructs and Relationships
  • 12.
  • 2.12Summary of Theoretical and Empirical Insights

Chapter THREE

RESEARCH METHODOLOGY

  • 1.
  • 3.1Research Design: Case Study of a Regional Electronics Repair Network
  • 2.
  • 3.2Philosophical Paradigm: Pragmatism and Mixed-Methods Justification
  • 3.
  • 3.3Population of the Study: Stakeholders in the Regional Repair Network
  • 4.
  • 3.4Sample Size and Sampling Technique: Stratified Purposive Sampling
  • 5.
  • 3.5Sources and Instruments of Data Collection: Interviews, Surveys, and Document Analysis
  • 6.
  • 3.6Validity and Reliability of Instruments: Triangulation and Pilot Testing
  • 7.
  • 3.7Data Collection Procedures: Fieldwork Protocols
  • 8.
  • 3.8Data Analysis Techniques: Descriptive, Inferential, and Thematic Analysis
  • 9.
  • 3.9Model Specification or Analytical Framework: Structural Equation Modeling/Path Analysis (where applicable)
  • 10.
  • 3.10Ethical Considerations: Consent, Confidentiality, and Data Security

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • ANALYSIS AND DISCUSSION OF FINDINGS
  • 1.
  • 4.1Data Presentation: Overview of Respondent Demographics and Network Characteristics
  • 2.
  • 4.2Descriptive Analysis: Current Circular Economy Practices in the Regional Network
  • 3.
  • 4.3Descriptive Analysis: Material Flow and Repair Metrics
  • 4.
  • 4.4Hypotheses Testing: Relationships between Repairability, Reuse, and Economic Outcomes
  • 5.
  • 4.5Inferential Analysis: Factors Influencing Adoption of Circular Practices
  • 6.
  • 4.6Thematic Analysis: Barriers and Enablers from Stakeholder Perspectives
  • 7.
  • 4.7Interpretation of Results: Alignment with Theoretical Frameworks
  • 8.
  • 4.8Discussion of Findings Relative to Prior Literature

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • CONCLUSION AND RECOMMENDATIONS
  • 1.
  • 5.1Summary of Findings
  • 2.
  • 5.2Conclusion: Implications for Circular Economy in Regional Electronics Repair
  • 3.
  • 5.3Contribution to Knowledge: Theory, Methodology, and Practice
  • 4.
  • 5.4Recommendations: Policy, Management, and Community Initiatives
  • 5.
  • 5.5Suggestions for Further Studies

Thesis Abstract

This study investigates the adoption and impact of circular economy practices within a regional electronics repair network to address escalating electronic waste, resource extraction pressures, and fragmented repair ecosystems. The problem addressed is the underutilization of repair-centered circular strategies in a mid-sized metropolitan region, resulting in lower product longevity, increased landfill leakage, and missed opportunities for material recovery. The aim is to assess the extent, drivers, and outcomes of circular economy practices among repair service providers, refurbishers, and parts suppliers, with a view to informing policy and business strategy. Specific objectives are (a) to map the current circular interventions (repair, refurbish, remanufacture, and component recycling) across the network; (b) to identify organizational, technical, and regulatory determinants of circular practice adoption; (c) to evaluate the environmental and economic impacts of these practices; (d) to examine customer attitudes and willingness to pay for repaired or refurbished devices; and (e) to develop a context-specific framework for scaling circular activities in regional electronics ecosystems. A mixed-methods design is employed, integrating quantitative survey data with qualitative insights to deliver triangulated evidence. The population comprises 420 active participants across the regional electronics repair network, including 120 repair technicians, 60 refurbishers, 100 parts suppliers, and 140 managers from independent repair shops and regional authorized service centers. A stratified random sample of 240 respondents is drawn to achieve representation across function, company size, and service type. Data collection uses a structured questionnaire to measure circular economy practices, perceived benefits and barriers, and environmental performance, combined with semi-structured interviews (n=40) to capture in-depth perspectives on operational constraints and strategic decisions. Document analysis of 25 firm-level records and regional environmental reports supplements primary data. Validity and reliability are established through pilot testing (n=30), Cronbach’s alpha tests (? ? 0.78 for multi-item scales), and member checking for qualitative transcripts. Quantitative data are analyzed using descriptive statistics, factor analysis to identify latent constructs of circular practices, and multiple regression to determine the relationship between adoption drivers (digital traceability, training, policy incentives) and environmental performance outcomes (waste diversion rate, material recovery rate, energy intensity). A structural equation modeling (SEM) approach tests the overall theoretical model linking organizational capabilities, regulatory pressure, and market demand to circular practice adoption and subsequent ecological and economic benefits. Qualitative data undergo thematic analysis, guided by the theory of planned behavior and the resource-based view, to reveal normative and cognitive determinants, capability gaps, and governance arrangements. Triangulation integrates findings to validate the robustness of the proposed framework. Key expected findings include (i) a positive association between formalized repair networks and higher material recovery rates; (ii) incremental environmental gains predominantly in repair and refurbish activities with diminishing returns where unofficial markets dominate; (iii) regulatory clarity and consumer awareness as critical levers for scaling circular practices; (iv) variability in economic outcomes based on firm size and access to certified component suppliers; and (v) a core set of capabilities—traceability, certification, and standardized repair procedures—that predict sustained circular performance. These results will inform a context-specific framework for enhancing circularity, comprising policy instruments (incentives for repair and take-back), sectoral standards (common repair documentation and bill of materials), and business models (shared refurbishing facilities and modular device design). The study contributes to knowledge by operationalizing circular economy concepts within a regional electronics ecosystem, developing a measurable framework for assessing circular practice maturity, and elucidating the interaction between organizational capacity, policy context, and market demand. It offers practical recommendations for policymakers, industry associations, and firms to accelerate repair-based circularity, including standardized data exchange protocols, training curricula for technicians, and pilot programs for take-back and refurbishment hubs. The main conclusion asserts that integrated governance, capacity-building, and market mechanisms can substantially elevate circular practices in regional electronics networks, with substantial environmental benefits and potential for replication in similar urban-regional contexts. Recommendations include establishing regional certification schemes for repaired devices, fiscal incentives for repair and refurbishment, and the creation of a regional data platform to track material flows and performance metrics.

Thesis Overview

This research explores how a regional network of electronics repair shops can adopt and improve circular economy practices. Circular economy means keeping products, components, and materials in use for as long as possible, reducing waste, and reclaiming value from old electronics. The study asks how repair networks currently operate, where waste or inefficiency occurs, and what improvements are feasible and beneficial for businesses, consumers, and the environment. Why it matters: Electronics generate significant waste and resource use. Repair networks can extend product life, reduce raw material demand, and create local economic value. Understanding which circular practices work well in a regional repair context helps policymakers, educators, and entrepreneurs design effective interventions, training, and business models that support sustainability and resilience. What gaps it addresses: While circular economy concepts are well discussed at high-level or manufacturing scales, there is limited empirical knowledge about how regional repair ecosystems actually implement circular principles—from repair and refurbishment to material recovery and reuse. This study provides concrete, context-specific evidence on drivers, barriers, and outcomes in a real-world network. What the researcher will do step by step: - Define the regional electronics repair network and map its actors, services, and processes. - Develop a mixed-methods design combining quantitative surveys and qualitative interviews to capture practices, attitudes, and outcomes. - Collect data from a representative sample of repair shops, suppliers, and customers (for example, 25–40 shops for surveys and 15–20 key informant interviews). - Assess circular practices across stages: repair, refurbishment, remanufacturing, parts recovery, waste handling, and consumer engagement. - Analyze quantitative data with descriptive statistics and regression analysis to identify factors predicting higher circular performance; analyze qualitative data with thematic analysis to uncover patterns, constraints, and enablers. - Integrate findings to develop a conceptual model of circularity in regional repair networks and propose actionable recommendations. What contribution the study makes: It provides a grounded, practical understanding of how circular economy principles operate in a local repair ecosystem, identifies scalable interventions, and informs policy, training, and business strategy to enhance sustainability and economic viability. Expected outcome: A clear set of best-practice guidelines and an evidence-based framework for improving circularity in regional electronics repair networks, along with policy and industry recommendations for replication in similar contexts.

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