Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Introduction Read chapter Read first chapter

2021 | OriginalPaper | Chapter

5. Findings and Discussions

Authors : Daniel Amos, Cheong Peng Au-Yong, Zairul Nisham Musa

Published in: Measurement of Facilities Management Performance in Ghana's Public Hospitals

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This chapter presents the findings and discussions from the case studies interviews and the questionnaire survey. In line with the procedure of an exploratory sequential mixed methods adopted by the study, the results from the qualitative case study enquiries forms the basis for the questionnaire instrument of the second stage. The chapter is presented in two parts. Part I presents the findings and discussions from the case studies interviews. Part II presents the results of two strands of questionnaire survey (see Appendix B and C). Specifically part II presents the quantitative analysis on the investigations into performance measurement techniques, the result from the exploratory factor analysis and the proposed structural equation modelling to investigate the interactions between the performance dimensions established.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Research Methodology
next chapter Conclusions and Recommendations
Footnotes
1
The sample is based on 116 valid observations from the first strand of the questionnaire survey.
 
2
Bootstrapping with larger samples increases reliability and validity of the statistical results.
 
Literature
1.
Ghana Health Service (GHS), Objcetives and Fucntional Responsibilities of the Unit. (2016)
2.
J.N. Bawole et al., Performance appraisal or praising performance? The culture of rhetoric in performance management in Ghana civil service. Int. J. Public Adm. 36(13), 953–962 (2013)CrossRef
3.
C. Liyanage, C. Egbu, A performance management framework for healthcare facilities management. J. Facil. Manage. 6(1), 23–36 (2008)CrossRef
4.
M. Pitt, M. Tucker, Performance measurement in facilities management: driving innovation? Property Manage. 26(4), 241–254 (2008)CrossRef
5.
A.L. Lindholm, K.I. Leväinen, A framework for identifying and measuring value added by corporate real estate. J. Corp Real Estate 8(1), 38–46 (2006)CrossRef
6.
Liyanage, C.L.: The role of facilities management in the control of healthcare associated infections (HAI) (Doctoral Dissertation). Glasgow Caledonian University. (2006)
7.
S.S. Nudurupati et al., State of the art literature review on performance measurement. Comput. Ind. Eng. 60(2), 279–290 (2011)CrossRef
8.
J.L. Harbour, The Basics of Performance Measurement. 2nd edn ed. (Madison Avenue, New York, Routledge, 2009)
9.
T. van der Voordt et al., Value Adding Management (VAM) of buildings and facility services in four steps. Corp. Real Estate J. 6(1), 42–56 (2016)
10.
C. Mangan, M. Pietroni, D. Porter, “Being brave”: A case study of how an innovative peer review approach led to service improvement. J. Integr. Care 24(4), 201–213 (2016)CrossRef
11.
S. Njuangang, C. Liyanage, A. Akintoye, Key performance measures to control maintenance-associated HAIs. Int. J. Health Care Qual. Assur. 28(7), 690–708 (2015)CrossRef
12.
S. Chitopanich, Positioning facilities management. Facilities 22(13/14), 364–372 (2004)CrossRef
13.
I.M. Shohet, S. Lavy, Healthcare facilities management: state of the art review. Facilities 22(7/8), 210–220 (2004)CrossRef
14.
O. Amankwah, C. Weng-Wai, A.H. Mohammed, Modelling the mediating effect of health care healing environment on core health care delivery and patient satisfaction in Ghana. Environ. Health Insights 13, 1178630219852115 (2019)CrossRef
15.
A.S. Reddy, S. Loh, R.A. Kane, Budget variance analysis of a departmentwide implementation of a pacs at a major academic medical center. J. Digit. Imaging 19(1), 66 (2006)CrossRef
16.
C.P. Au-Yong, S. Ali Azlan, F. Ahmad, Participative mechanisms to improve office maintenance performance and customer satisfaction. J. Perform. Constructed Facil. 29(4), 04014103 (2015)CrossRef
17.
M. Pitt et al., An examination of facility management, customer satisfaction and service relationship in the Bangkok healthcare system. Indoor Built Environ. 25(3), 442–458 (2016)CrossRef
18.
F. Pagani, Peer review as a tool for co-operation and change: An analysis of an OECD working method. Afr. Secur. Rev. 11(4), 15–24 (2002)CrossRef
19.
R. Smith, Peer review: a flawed process at the heart of science and journals. J. R. Soc. Med. 99(4), 178–182 (2006)CrossRef
20.
L. Leventhal, The role of understanding customer expectations in aged care. Int. J. Health Care Quality Assur. 21(1), 50–59 (2008)CrossRef
21.
M.I. Okoroh et al., Adding value to the healthcare sector—A facilities management partnering arrangement case study. Facilities 19(3/4), 157–164 (2001)CrossRef
22.
23.
J. Holloway et al., Identifying Best Practice in Benchmarking (CIMA Publishing, London, 1999)
24.
J. Nunnally, Psychometric Methods (McGraw-Hill, New York, 1978)
25.
M.J. Lebas, Performance measurement and performance management. Int. J. Prod. Econ. 41(1–3), 23–35 (1995)CrossRef
26.
D. Vyas, A.E. Hozain, Clinical peer review in the United States: history, legal development and subsequent abuse. World J. Gastroenterol. WJG 20(21), 6357 (2014)CrossRef
27.
L. Rodríguez-Labajos, C. Thomson, G. O’Brien, Performance measurement for the strategic management of health-care estates. J. Facil. Manage. 16(2), 217–232 (2018)CrossRef
28.
L. Rasch, Employee performance appraisal and the 95/5 rule. Community College J. Res. Pract. 28(5), 407–414 (2004)CrossRef
29.
R. Selvarajan, P.A. Cloninger, The influence of job performance outcomes on ethical assessments. Personnel Review 38(4), 398–412 (2009)CrossRef
30.
N.A. Azizan, B. Mohamed, The effects of perceived service quality on patient satisfaction at a public hospital in state of Pahang, Malaysia. Encounter. 2(3) (2013)
31.
J.J. Fenton et al., The cost of satisfaction: a national study of patient satisfaction, health care utilization, expenditures, and mortality. Arch. Intern. Med. 172(5), 405–411 (2012)CrossRef
32.
R. Amfo-Otu, Hospital Solid Waste Management Practices in Eastern Region of Ghana (Doctoral Dissertation). (University of Cape Coast, 2018)
33.
S. Assaf et al., Factors affecting outsourcing decisions of maintenance services in Saudi Arabian universities. Property Manage. 29(2), 195–212 (2011)CrossRef
34.
D.I. Ikediashi et al., Analysis of risks associated with facilities management outsourcing: a multivariate approach. J. Facil. Manage. 10(4), 301–316 (2012)CrossRef
35.
36.
H.F. Kaiser, The application of electronic computers to factor analysis. Educ. Psychol. Measur. 20(1), 141–151 (1960)CrossRef
37.
E. Ferguson, T. Cox, Exploratory factor analysis: A users’ guide. Int. J. Sel. Assess. 1(2), 84–94 (1993)CrossRef
38.
D. Child, The Essentials of Factor Analysis. 3nd edn ed. (London: Bloomsbury Academic, 2006)
39.
J. Pallant, A Step by Step Guide to Data Analysis Using SPSS (McGraw-Hill Education, Berkshire UK, 2010)
40.
D. Amos, C.P. Au-Yong, Z.N. Musa, Developing Key Performance Indicators for Hospital Facilities Management Services: A Developing Country Perspective (Engineering, Construction and Architectural Management, 2020)
41.
42.
D.I. Ikediashi, S.O. Ogunlana, I.A. Odesola, Service quality and user satisfaction of outsourced facilities management (FM) services in Nigeria’s public hospitals. Built Environ. Project Asset Manage. 5(4), 363–379 (2015)CrossRef
43.
J. Hinks, P. McNay, The creation of a management-by-variance tool for facilities management performance assessment. Facilities 17(1/2), 31–53 (1999)CrossRef
44.
V.T. Luu, S.-Y. Kim, T.-A. Huynh, Improving project management performance of large contractors using benchmarking approach. Int. J. Project Manage. 26(7), 758–769 (2008)CrossRef
45.
A.P.C. Chan, A.P.L. Chan, Key performance indicators for measuring construction success. Benchmarking: Int. J. 11(2), 203–221 (2004)CrossRef
46.
A. Parasuraman, V.A. Zeithaml, L.L. Berry, A conceptual model of service quality and its implications for future research. J. Mark. 49(4), 41–50 (1985)CrossRef
47.
N.F. Rad, A.P.M. Som, Y. Zainuddin, Service quality and patients’ satisfaction in medical tourism. World Appl. Sci. J. 10(1), 24–30 (2010)
48.
R.K. Henson, J.K. Roberts, Use of exploratory factor analysis in published research: Common errors and some comment on improved practice. Educ. Psychol. Measur. 66(3), 393–416 (2006)MathSciNetCrossRef
49.
D. Amaratunga, D. Baldry, A conceptual framework to measure facilities management performance. Property Manage. 21(2), 171–189 (2003)CrossRef
50.
X. Meng, M. Minogue, Performance measurement models in facility management: a comparative study. Facilities 29(11/12), 472–484 (2011)CrossRef
51.
H. Heng, W. McGeorge, M. Loosemore, Beyond strategy: exploring the brokerage role of facilities manager in hospitals. J. Health Organ. Manage. 19(1), 16–31 (2005)CrossRef
52.
P. Aseweh Abor, Managing healthcare waste in Ghana: A comparative study of public and private hospitals. Int. J. Health Care Qual. Assur. 26(4), 375–386 (2013)CrossRef
53.
H.-J. Zhang et al., Investigation of medical waste management in Gansu province China. Waste Manage. Res. 31(6), 655–659 (2013)CrossRef
54.
S. Lavy, J.A. Garcia, M.K. Dixit, KPIs for facility’s performance assessment, Part II: identification of variables and deriving expressions for core indicators. Facilities 32(5/6), 275–294 (2014)CrossRef
55.
B. Atkin, A. Brooks, Total Facilities Management. 4th edn ed. (Wiley-Blackwell Publishers, New York, 2015)
56.
A. Farooq, Z. Hussain, Balanced scorecard perspective on change and performance: a study of selected Indian companies. Procedia-Soc. Behavioral Sci. 24, 754–768 (2011)CrossRef
57.
S.U.R. Toor, S.O. Ogunlana, Beyond the ‘iron triangle’: Stakeholder perception of key performance indicators (KPIs) for large-scale public sector development projects. Int. J. Proj. Manage. 28(3), 228–236 (2010)CrossRef
58.
T. Kremic, O. Icmeli Tukel, W.O. Rom, Outsourcing decision support: a survey of benefits, risks, and decision factors. Supply Chain Manage. Int. J. 11(6), 467–482 (2006)CrossRef
59.
D. Borsboom, G.J. Mellenbergh, J. Van Heerden, The theoretical status of latent variables. Psychol. Rev. 110(2), 203 (2003)CrossRef
60.
T.Z. Keith, Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling. 2nd edn ed. (London, Routledge, 2014)
61.
M. Sarstedt et al., On the emancipation of PLS-SEM: A commentary on Rigdon (2012). Long Range Plan. 47(3), 154–160 (2014)CrossRef
62.
I. Motawa, M.G. Oladokun, Structural equation modelling of energy consumption in buildings. Int. J. Energy Sect. Manage. 9(4), 435–450 (2015)CrossRef
63.
J.F. Hair, et al., A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd edn ed. (Thousand Oaks: CA, Sage Publications, 2017)
64.
W.W. Chin, The partial least squares approach to structural equation modeling. Mod. Meth. Bus. Res. 295(2), 295–336 (1998)
65.
C. Fornell, D.F. Larcker, Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)CrossRef
66.
J. Henseler, C.M. Ringle, M. Sarstedt, A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43(1), 115–135 (2015)CrossRef
67.
R.B. Kline, Convergence of Structural Equation Modeling and Multilevel Modeling (Sage Publications, London, 2011)MATHCrossRef
68.
A. Diamantopoulos, J.A. Siguaw, Formative versus reflective indicators in organizational measure development: a comparison and empirical illustration. Br. J. Manag. 17(4), 263–282 (2006)CrossRef
69.
J.F. Hair, C.M. Ringle, M. Sarstedt, Partial least squares structural equation modeling: rigorous applications, better results and higher acceptance. Long Range Plan. 46(1), 1–12 (2013)CrossRef
70.
R.T. Cenfetelli, G. Bassellier, Interpretation of Formative Measurement in Information Systems Research. MIS quarterly. pp. 689–707 (2009)
71.
N. Kock, G. Lynn, Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. J. Assocaition Inform. Syst. 13(7), 546–580 (2012)CrossRef
72.
R.F. Falk, N.B. Miller, A Primer for Soft Modeling. A primer for soft modeling. (Akron, OH, US, University of Akron Press, 1992) xiv, 103-xiv, 103
73.
J. Cohen, Statistical Power Analysis for the Behavioral Sciences. 2nd edn ed. (Hillsdale, NJ, Lawrence Erlbaum Associates, Publishers, 1988)
74.
D.E. Miller, J.T. Kunce, Prediction and statistical overkill revisited. Meas. Eval. Guidance 6(3), 157–163 (1973)CrossRef
75.
76.
J.A. Rahman, V. Coffey, M. Skitmore, Stakeholder service delivery expectations of military facilities management. Built Environ. Proj. Asset Manage. 2(2), 146–166 (2012)CrossRef
77.
D.Y. Golhar, S.P. Deshpande, Productivity comparisons between Canadian and US TQM firms: An empirical investigation. Int J. Qual. Reliab. Manage. 16(7), 714–722 (1999)CrossRef
78.
S. Gounaris, S. Dimitriadis, Assessing service quality on the web: evidence from business-to-consumer portals. J. Serv. Mark. 17(5), 529–548 (2003)CrossRef
79.
G. Abekah-Nkrumah, T. Dinklo, J. Abor, Financing the health sector in Ghana: A review of the budgetary process. Eur. J. Econ. Financ. Adm. Sci. 2009(17), 45–59 (2009)
80.
C. Zehir et al., The indirect effects of servant leadership behavior on organizational citizenship behavior and job performance: Organizational justice as a mediator. Int. J. Res. Bus. Soc. Sci. 2(3), 1 (2013)
81.
C.K.I. Che Ibrahim, S.B. Costello, S. Wilkinson, Key indicators influencing the management of team integration in construction projects. Int. J. Manag. Proj. Bus. 8(2), 300–323 (2015)CrossRef
82.
S. Njuangang, C. Lasanthi, A. Akintoye, Performance measurement tool (PMT) to control maintenance-associated infections. Facilities. 34(13/14), 766–787 (2016)CrossRef
83.
Metadata
Title
Findings and Discussions
Authors
Daniel Amos
Cheong Peng Au-Yong
Zairul Nisham Musa
Copyright Year
2021
Publisher
Springer Singapore
Book
Measurement of Facilities Management Performance in Ghana's Public Hospitals

Print ISBN: 978-981-334-331-3

Electronic ISBN: 978-981-334-332-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4332-0_5