what would be the expected outcome and the content of the proposal of exploring the influence of…

what would be the expected outcome and the content of the proposal of exploring the influence of service delivery on customer retention at Absa Bank Limited, please reference
Expected outcomes
Identification of the service delivery dimensions (e.g., reliability, responsiveness, assurance, empathy, tangibles) that significantly influence customer retention at Absa Bank Limited.
Empirical evidence quantifying the strength and direction of relationships between service quality dimensions and retention/loyalty metrics (e.g., intention to stay, repurchase, advocacy).
Customer segmentation showing which customer groups are most sensitive to specific service delivery factors (e.g., retail vs. corporate, digital-first vs. branch-oriented customers).
Practical, prioritized recommendations for operational and strategic improvements (process, training, digital channels, complaint handling) to increase retention.
A validated measurement instrument (adapted SERVQUAL or similar) and a proposed monitoring framework (KPIs and periodic measurement) for Absa to track service delivery and retention over time.
Academic and managerial contributions: gap analysis against existing literature and actionable steps for Absa’s management and policy units.
Content and structure of the research proposal
Title
— concise, specific (e.g., “The Influence of Service Delivery on Customer Retention at Absa Bank Limited”).
Abstract
— 150–250 word summary of objectives, methods, expected contributions, and practical relevance.
Introduction
— background to Absa and the South African banking context, rationale for the study, problem statement, and justification.
Literature review
— review of service quality, customer satisfaction, loyalty/retention theories, review of empirical findings, and identification of gaps the study will address.
Theoretical framework
— conceptual model linking service delivery dimensions to customer retention, with hypothesized relationships.
Aims and objectives
— one general aim and 3–6 specific objectives (e.g., quantify effects, compare segments, recommend interventions).
Research questions and hypotheses
— clear, testable hypotheses derived from the framework (e.g., higher perceived responsiveness positively influences retention intent).
Methodology
Design: mixed-methods (cross-sectional survey plus qualitative interviews) or purely quantitative depending on scope.
Population and sampling: Absa retail and/or corporate customers; recommended sample sizes (e.g., 300+ survey respondents for robust multivariate analysis; purposive sample of 10–20 staff/customers for qualitative insights).
Instruments: standardized scales (e.g., adapted SERVQUAL or SERVPERF items), retention measures (behavioral and attitudinal), interview protocols.
Data collection: online and in-branch surveys, structured interviews with branch managers and customer service staff.
Validity and reliability: pilot testing, Cronbach’s alpha, content validity checks, and any required cultural adaptation of scales.
Data analysis plan
Descriptive statistics to profile respondents.
Reliability and factor analysis (EFA/CFA) to validate measurement model.
Inferential analysis: multiple regression, logistic regression (for retention behavior), or structural equation modeling (SEM) to test hypotheses.
Segment analysis (ANOVA or cluster analysis) to compare effects across customer groups.
Ethical considerations
— informed consent, confidentiality, data protection (align with POPIA/GDPR as applicable), and approval from any institutional review board.
Limitations and delimitations
— anticipated constraints (cross-sectional design, self-report bias) and scope boundaries.
Timeline
— Gantt-style milestones for literature review, instrument development, data collection, analysis, and reporting (e.g., 6–9 months total for a full study).
Budget
— estimated costs for survey administration, incentives, travel, transcription, and analysis software/licenses.
Deliverables and impact
— final report, executive summary for Absa management, presentation, policy/practice recommendations, and possible journal article.
References
— preliminary key sources to support the study.
Suggested methodological details (practical guidance)
Adopt a mixed-methods approach where feasible: use qualitative interviews to contextualize survey findings and refine instruments.
Use an adapted SERVQUAL or SERVPERF scale to measure service delivery dimensions; include behavioral retention indicators (actual churn data if accessible) and attitudinal measures (satisfaction, loyalty intention).
If testing mediation (e.g., satisfaction mediating between service quality and retention), specify analytical approach (bootstrapped mediation tests in regression or SEM).
Stratify sampling across branches, segments, and digital vs. non-digital customers to ensure representativeness and actionable subgroup insights.
Practical recommendations to include in the proposal
Pilot interventions (e.g., enhanced complaint resolution protocol) and measure pre/post retention indicators.
Design a dashboard of KPIs (Net Promoter Score, retention rate by cohort, average resolution time) for ongoing monitoring.
Recommend staff training and process redesign linked to the identified high-impact service dimensions.
Propose A/B testing of digital service changes where applicable to measure causal effects on retention.
Suggested references
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality.
Cronin, J. J., & Taylor, S. A. (1992). Measuring service quality: A reexamination and extension.
Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing.
Reichheld, F. F. (1996). The Loyalty Effect: The Hidden Force Behind Growth, Profits, and Lasting Value.
Grönroos, C. (1994). From marketing mix to relationship marketing: Towards a paradigm shift in marketing.
Absa Group Limited. Annual report and corporate publications (use the most recent available Absa Group annual report for current organisational context and data).