Service operations Management April 2026

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Service Operations Management

Apr 2026 Examination

 

 

Q1. An airline deploys an IoT solution to tag, scan, and monitor baggage across multiple airports. The rollout requires firewall port configurations for new devices, mobile provisioning for handheld scanners, secure remote access for maintenance, and integration with legacy baggage handling systems. Ground staff and IT teams must adopt new procedures; there are worries about increased device failure, data privacy, and coordination among vendors. Senior operations leadership must ensure high availability, fast fault resolution, and staff engagement while meeting regulatory and contractual obligations. Implementation spans network infrastructure upgrades, device provisioning at baggage conveyors, security hardening, and retraining of ground staff. Apply a people-centric leadership model that empowers front-line teams to adopt new IoT processes, ensures cross-functional coordination, and maintains security standards. Identify the model, describe leader actions to mobilise, coach, and remove obstacles over three months, and define the operational and human-centred metrics you will track to judge effectiveness? (10 Marks)

Ans 1.

Introduction

The airline’s decision to deploy an IoT-enabled baggage tracking system represents a major operational and cultural shift. While the technology promises improved visibility, reduced mishandling, and faster passenger service, its success depends largely on how well people adapt to new tools and workflows. Ground staff must learn new scanning procedures, IT teams must manage network security and device provisioning, and multiple vendors must coordinate seamlessly. At the same time, regulatory compliance and data privacy requirements add further pressure. In such a transformation, a people-centric leadership approach is essential. A

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Q2. A global BPO contact centre experiences rising average handling time (AHT) and declining customer satisfaction scores despite hiring more agents. The help desk uses legacy CRM, rigid IVR menus and traditional AHT-focused targets. Supervisors report high attrition and low discretionary effort; agents complain about repetitive tasks and unclear escalation rules. Management is considering investment in AI chatbots, re-engineering call flows, shifting KPIs to quality-oriented metrics and offering variable incentives, but worries about short-term service disruptions and budget approvals. Evaluate the relative merits of process redesign, AI-enabled self- service (chatbots/automation), KPI revision (from AHT to First Contact Resolution and NPS), and enhanced frontline incentives to reduce average handling time and improve satisfaction in the BPO. Critically assess impacts on employee morale, service quality, training needs and long-term cost structure, then justify a recommended combination of initiatives and measurement framework for the next 12 months? (10 Marks)

Ans 2.

Introduction

The global BPO contact centre is facing a classic service performance paradox: more agents have been added, yet Average Handling Time continues to rise and customer satisfaction is steadily declining. This situation indicates that the problem is not only about capacity but about how work is designed, measured, and supported. Legacy CRM systems, rigid IVR structures, and speed-focused performance targets have created operational friction and employee fatigue. At the same time, high attrition and low discretionary effort signal deeper engagement and motivation issues. Management’s interest in process redesign, AI-based automation, KPI realignment,

Q3(A). A private university is scaling enrolment and adopting blended learning. IT must provision and manage desktops, laptops and mobile access for students and faculty, run the LMS, provide remote and on-site tech support, and protect sensitive student records. Current tech support is fragmented, asset lifecycles are ad hoc, and faculty lack consistent training on digital teaching tools, affecting learning outcomes and satisfaction. Develop a technology-enabled service operations framework for a rapidly growing educational institution that covers PC/mobile provisioning, centralized help desk, LMS administration, student data protection, staff development and performance measurement. Propose governance, vendor vs in-house decisions, escalation paths and metrics to ensure service quality and timely academic support? (5 Marks)

Ans 3a.

Introduction

As a private university expands enrolment and adopts blended learning models, technology becomes a core service backbone rather than a support function. Fragmented technical support, unmanaged asset lifecycles, and inconsistent faculty training directly affect learning quality and student satisfaction. To sustain growth, the institution must shift toward a structured, technology-enabled service operations framework that integrates device provisioning, centralized IT support, secure data handling, and staff capability development. Such a framework ensures

 

Q3(B). A multi speciality Hospital struggles with long outpatient waiting times, inconsistent coordination between diagnostics, pharmacy and billing, and variable quality across wards. Certain activities (routine vitals, medication dispensing) are repetitive, while specialised surgeries are unique and require custom handling. Managers want to redesign operations to streamline patient flow, standardise high-volume procedures, decouple back-office administration from bedside care where beneficial, and ensure timely, safe delivery of services across departments. Create a patient-centric service operations redesign for a multi-department hospital that classifies activities as runners, repeaters and strangers, applies decoupling where appropriate, and reduces waiting times and risk while improving coordination across clinical and back-office teams. Provide process maps, resource allocation principles and success metrics? (5 Marks)

Ans 3b.

Introduction

Multi-speciality hospitals operate in highly complex environments where patient flow, departmental coordination, and service consistency directly impact clinical outcomes and patient satisfaction. Long waiting times and fragmented coordination between diagnostics, pharmacy, and billing indicate operational inefficiencies. By redesigning services around patient journeys and classifying activities based on volume and customization needs, hospitals can improve speed, safety, and care quality. A patient-centric operations redesign helps balance