Time Management in Service Industry

Authors

  • SANIEL D'ALMEIDA Department of Management, IIBS, Bangalore, India. Author
  • PROF. ALKA G. GUPTA Department of Management, IIBS, Bangalore, India. Author

DOI:

https://doi.org/10.64137/31080030/IJFEMS-V2I3P106

Keywords:

Operational Efficiency, Service Process Design, Waste Reduction, Task Resolution Time, Demand-Driven Staffing, Work Management in healthcare, Service Level Agreement (SLA) Compliance, Frontline Productivity

Abstract

This research examines time management challenges unique to the service industry, where labour is the primary cost driver and efficiency directly impacts customer satisfaction. Drawing on five distinct case studies across healthcare, hospitality, IT services, call centres, and field services, this analysis identifies a common finding: effective time management depends less on individual employee discipline and more on systemic process design. In healthcare, unstructured digital work (e.g., patient messaging) was mitigated through dedicated scheduling slots, reducing physician burnout. Data-driven staffing software in hospitality was also a killer app, cutting idle time and expensive overtime by matching labour to demand. Ticket resolution time dropped by 62% for IT services: Centralized documentation and automation combine to erase information scavenger hunts. A searchable FAQ tool was built directly into a call centre's CRM, which freed it up from operational friction, allowing the business to reduce handle time by 19% while increasing satisfaction from 67% to 85%. Finally, a field services provider solved last-minute delays through minute-by-minute operational tracking and over $2.5 million in annual savings further added up. Across all cases, three strategic interventions emerged: structural (allocating time for invisible tasks), process (reducing wasted motion) and predictive (aligning labour with demand). The research concludes that service organizations seeking sustainable productivity gains must prioritize system-level friction reduction over individual time management training alone.

References

[1] Academic Health System (Midwest), Portal Practice Slots: Structuring unstructured digital work in primary care, Case Study 1.

[2] Raymond Management Company, Data-driven scheduling implementation across 36 hotels, Case Study 2.

[3] Appalachia Technologies, Centralized documentation and automation in IT services. Case Study 3.

[4] Midsize South African Inbound Contact Centre, Embedded FAQ decision tree integration into CRM. Case Study 4.

[5] Global IT Services Partner (Fortune 1000), Project Onsite Excellence: Minute-by-minute delay tracking in field services. Case Study 5.

[6] “Lakein, A. (1973). How to Get Control of Your Time and Your Life. New York, NY P.H. Wyden. - References - Scientific Research Publishing.” Accessed: July 24, 2026. [Online]. Available: https://www.scirp.org/reference/referencespapers?referenceid=2003587

[7] “Covey, S.R. (1989) The 7 Habits of Highly Effective People Powerful Lessons in Personal Change. Free Press, United States. - References - Scientific Research Publishing.” Accessed: July 24, 2026. [Online]. Available: https://www.scirp.org/reference/referencespapers?referenceid=1715454

[8] T. H. Macan, “Time management: Test of a process model.,” Journal of Applied Psychology, vol. 79, no. 3, pp. 381–391, June 1994.

[9] B. J. C. Claessens, W. van Eerde, C. G. Rutte, and R. A. Roe, “A Review of the Time Management Literature,” Personnel Review, vol. 36, no. 2, pp. 255–276, Feb. 2007, doi: 10.1108/00483480710726136.

[10] J. Adair, The leadership of time. Pan Macmillan, 2010.

[11] S. E. Kimes, “Strategic yield management: A foundation for performance improvement,” Cornell Hospitality Quarterly, vol. 51, no. 2, pp. 222-230, 2010.

[12] A. Pulford, and S. R. Colwell, “Scheduling practices in the hotel industry,” Journal of Hospitality and Tourism Management, vol. 25, pp. 1-9, 2015.

[13] M. C. Sturman, and J. B. Corgel, “The impact of labour management software on hotel financial performance,” Cornell Hospitality Quarterly, vol. 59, no. 3, pp. 234-248, 2018.

[14] B. G. Arndt et al., “Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations,” The Annals of Family Medicine, vol. 15, no. 5, pp. 419–426, Sept. 2017, doi: 10.1370/afm.2121.

[15] M. Tai-Seale et al., “Electronic health record logs indicate that physicians split time evenly between seeing patients and desktop medicine,” Health Affairs, vol. 38, no. 4, pp. 590-596, 2019.

[16] C. A. Sinsky, T. D. J. A. Shanafelt, and Ripp, “Structural time allocation for physician digital work: A pilot study,” Mayo Clinic Proceedings, vol. 95, no. 8, pp. 1682-1691, 2020.

[17] C. M. Beckman, and M. Mazmanian, “Time management through system design: Restoring boundary control in knowledge work,” Organization Science, vol. 31, no. 4, pp. 821-840, 2020.

[18] S. D. Galup, R. Dattero, J. J. Quan, and S. Conger, “An overview of IT service management,” Communications of the ACM, vol. 52, no. 5, p. 124, May 2009, doi: 10.1145/1506409.1506439.

[19] Pink Elephant, IT service desk benchmark survey, Pink Elephant Research, 2016.

[20] J. B. Spira, and J. B. Feintuch, The cost of not finding information. Basex Research, 2005.

[21] A. M. V, M. V. S, S. Thilaga, T. M. S. Kumar, V. V. Kanumuri, and M. B. S, “Using Machine Learning for Dynamic Pricing Strategies in Retail and Online Markets,” 2025 Tenth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), pp. 1–8, Nov. 2025, doi: 10.1109/iconstem65670.2025.11374674.

[22] V. S. et al., “DETERMINANTS OF EMPLOYEE ENGAGEMENT IN ORGANIZED RETAIL: AN ANALYTICAL STUDY,” Archives for Technical Sciences, vol. 34, no. 3, pp. 72–83, Dec. 2025, doi: 10.70102/afts.2025.1834.072.

[23] Rajesh Vemula, B. S. Mahabub, V Jalaja, K. V. Nagaraj, Venkateswarlu Karumuri, and Manyam Ketha, “Analysis of Social Media Marketing Impact on Consumer Behaviour,” CRC Press eBooks, pp. 250–255, Aug. 2024, doi: 10.1201/9781003532026-44.

[24] A. Naseeb et al., “ENHANCING WORKPLACE SATISFACTION THROUGH AI: MACHINE LEARNING STRATEGIES FOR EMPLOYEE ENGAGEMENT,” Archives for Technical Sciences, vol. 34, no. 3, pp. 125–137, Dec. 2025, doi: 10.70102/afts.2025.1834.125.

[25] “Portfolio Optimization under Uncertainty: Evidence from Behavioural Biases and Risk-Adjusted Performance,” International Insurance Law Review, 2026, doi: 10.65677/iilr.34.s1.25.

[26] T. Sheshadri, “Artificial Intelligence in Industry 4.0,” African Journal of Biological Sciences, vol. 6, no. 6, pp. 2316–2326, June 2024, doi: 10.48047/afjbs.6.6.2024.2316-2326.

[27] Mazharunnisa et al., “A Study on Job Stress and Productivity of Women Employees Working in the IT Sector: A Structural Model,” Indian Journal of Information Sources and Services, vol. 15, no. 2, pp. 1–10, June 2025, doi: 10.51983/ijiss-2025.ijiss.15.2.01.

[28] “AI Adoption in HRM and Employee Acceptance: A Behavioral Perspective,” Journal of International Commercial Law and Technology, vol. 6, no. 1, pp. 1951–1956, Dec. 2025, doi: 10.61336/jiclt/25-01-181.

[29] D. G. Ko, and J. Ma, “The impact of knowledge management systems on IT service desk performance,” Journal of Management Information Systems, vol. 36, no. 2, pp. 612-644, 2019.

[30] R. A. Feinberg et al., “Operational determinants of caller satisfaction in the call centre,” International Journal of Service Industry Management, vol. 13, no. 5, pp. 440-458, 2002.

[31] V. Ahuja, and J. B. Thatcher, “Embedded knowledge tools in CRM: A field experiment,” Journal of the Association for Information Systems, vol. 20, no. 8, pp. 1124-1156, 2019.

[32] “Homburg, C., & Stock, R. (2004). The Link between Salespeople’s Job Satisfaction and Customer Satisfaction in a Business-to-Business Context A Dyadic Analysis. Journal of the Academy of Marketing Science, 32, 144-158. - References - Scientific Research Publishing,” 2014. Accessed: July 24, 2026. [Online]. Available: https://www.scirp.org/reference/referencespapers?referenceid=1162884

[33] Y. Geum, J. Jeon, and Y. Park, “Identifying the causes of service failures in field service operations,” Service Business, vol. 10, no. 2, pp. 321-342, 2016.

[34] “Dumas, M., La Rosa, M., Mendling, J. and Reijers, H.A. (2018) Fundamentals of Business Process Management. 2nd Edition, Springer, Berlin. - References - Scientific Research Publishing,” 2018. Accessed: July 24, 2026. [Online]. Available: https://www.scirp.org/reference/referencespapers?referenceid=2334523

[35] N. Mandahawi, and R. Singh, “Micro-delay elimination in telecommunications field services,” International Journal of Service Operations Management, vol. 35, no. 4, pp. 512-530, 2020.

[36] J. R. Hackman and G. R. Oldham, “Motivation through the Design of work: Test of a Theory,” Organizational Behavior and Human Performance, vol. 16, no. 2, pp. 250–279, Aug. 1976, doi: https://doi.org/10.1016/0030-5073(76)90016-7.

[37] “Trist, E., & Bamforth, K. (1951). Some Social and Psychological Consequences of the Longwall Method of Coal-Getting. Human Relations, 4, 3-38. - References - Scientific Research Publishing,” 2024. Accessed: July 24, 2026. [Online]. Available: https://www.scirp.org/reference/referencespapers?referenceid=3698011

[38] J. Seddon, and S. Caulkin, “Systems thinking versus command and control,” Management Today, vol. 23, no. 4, pp. 44-49, 2007.

[39] D. E. Bowen and W. E. Youngdahl, “‘Lean’ service: in defense of a production‐line approach,” International Journal of Service Industry Management, vol. 9, no. 3, pp. 207–225, Aug. 1998, doi: 10.1108/09564239810223510.

[40] “McAfee, A. and Brynjolfsson, E. (2012) Big Data The Management Revolution. Harvard Business Review. - References - Scientific Research Publishing.” Accessed: July 24, 2026. [Online]. Available: https://www.scirp.org/reference/referencespapers?referenceid=1644568

[41] “Card, S.K., Moran, T.P. and Newell, A. (1983) The Psychology of Human-Computer Interaction. Erlbaum, Hillsdale. - References - Scientific Research Publishing,” 2025. Accessed: July 24, 2026. [Online]. Available: https://www.scirp.org/reference/referencespapers?referenceid=1652269

[42] S. Tams, K. Hill, and J. B. Thatcher, “The impact of multitasking on productivity,” Computers in Human Behaviour, vol. 35, pp. 278-285, 2014.

[43] R. K. Yin, Case Study Research and Applications: Design and Methods, 6th ed. Thousand Oaks, California: Sage Publications, 2018.

[44] K. M. Eisenhardt, “Building Theories from Case Study Research,” Academy of Management Review, vol. 14, no. 4, pp. 532–550, Oct. 1989, doi: https://doi.org/10.5465/amr.1989.4308385.

[45] B. Schneider et al., "Workforce scheduling and employee well-being," Journal of Applied Psychology, vol. 102, no. 8, pp. 1189-1205, 2017.

[46] B. Schneider, M. G. Ehrhart, and W. H. Macey, “Organizational climate and culture,” Annual Review of Psychology, vol. 64, no. 1, pp. 361–388, 2013, doi: 10.1146/annurev-psych-113011-143809.

[47] W. Van Eerde, “Procrastination at Work and Time Management Training,” The Journal of Psychology, vol. 137, no. 5, pp. 421–434, Sept. 2003, doi: 10.1080/00223980309600625.

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Published

2026-07-09

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Articles

How to Cite

Time Management in Service Industry. (2026). International Journal of Finance, Economics, and Management Studies, 2(3), 47-60. https://doi.org/10.64137/31080030/IJFEMS-V2I3P106