Managing Client Expectations through Effective Resource Allocation in Service Delivery
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DOI:
https://doi.org/10.67228/30715628/IJMIET-2019PII2P6BPublished 11-05-2019
Resource Allocation, Client Expectations, Service Delivery, Client Satisfaction, Service Quality, Project Management, Resource Planning, Communication Strategies, Service Providers, Risk Management Issue
Section
ArticlesHow to Cite
[1]J. Peterson and L. Martinez, “Managing Client Expectations through Effective Resource Allocation in Service Delivery”, ijmiet, vol. 2, no. 2, pp. 01–12, Nov. 2019, doi: 10.67228/30715628/IJMIET-2019PII2P6B.Abstract
Effective resource allocation plays a pivotal role in managing client expectations in service delivery. This paper explores the relationship between resource allocation and client satisfaction, emphasizing how aligning available resources with client demands can result in enhanced service quality, timely delivery, and improved client relationships. By examining the importance of prioritization, communication, and the utilization of technological tools, the paper identifies strategies for managing resource allocation efficiently. Furthermore, it discusses the challenges service providers face, such as budget constraints and fluctuating demands, and presents practical case studies to illustrate real-world applications. The paper concludes with recommendations for service providers to optimize resource management and align client expectations for long-term success.
References
[1] Parasuraman A, Zeithaml Valarie A, & Berry Leonard L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41–50.
[2] Services Marketing: Integrating Customer Focus Across the Firm (7th ed.). McGraw-Hill Education.
[3] Kotler Philip & Keller Kevin Lane. (2016). Marketing Management (15th ed.). Pearson.
[4] Grönroos Christian. (2007). Service Management and Marketing: Customer Management in Service Competition (3rd ed.). John Wiley & Sons.
[5] Slack Nigel, Brandon-Jones Alistair, & Johnston Robert. (2019). Operations Management (9th ed.). Pearson.
[6] Hopp Wallace J & Spearman Mark L. (2011). Factory Physics (3rd ed.). Waveland Press.
[7] Johnston Robert & Clark Graham. (2008). Service Operations Management: Improving Service Delivery.
Pearson.
[8] Bourne Lynda. (2015). Stakeholder Relationship Management: A Maturity Model for Organisational Implementation.
Gower Publishing.
[9] Kerzner Harold. (2017). Project Management: A Systems Approach to Planning, Scheduling, and Controlling (12th ed.). John Wiley & Sons.
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How to Cite
[1]J. Peterson and L. Martinez, “Managing Client Expectations through Effective Resource Allocation in Service Delivery”, ijmiet, vol. 2, no. 2, pp. 01–12, Nov. 2019, doi: 10.67228/30715628/IJMIET-2019PII2P6B.
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