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A Users’ Satisfaction on the Environmental Performance of Naturally Ventilated Library: A Structural Equation Modeling Approach


  • Department of Architecture, Faculty of Built Environment, Universiti Teknologi Malaysia, Skudai - 81310, Johor, Malaysia
  • Department of Civil Engineering, Faculty of Engineering, Computing and Science, Swinburne University of Technology, Kuching - 93350, Sarawak, Malaysia


Objective: Library users beside been under duress of the inherent academic challenges are also faced with acclimatizing to the environment around them. The paradigm shift in environmental satisfaction research pits users against the dynamic nature of the environment. Hence, this paper directs the need for adequate post-occupancy analysis to address this trend. Methods/Statistical Analysis: A total of 514 questionnaires were derived from 4 respective libraries in Northeastern Nigeria. Descriptive and Structural Equation Modeling (SEM) analysis were carried out with SPSS and AMOS v22. Findings: The results revealed that the variables exhibited high correlation among each other. Ventilation Satisfaction had the highest impact on environmental satisfaction while acoustic had the lowest impact on environmental satisfaction. Applications/Improvements: Recommendations on policies were given to improve Acoustics within the Libraries.


Library, Nigeria, Performance, Structural Equation Modeling, Questionnaire Survey, User Satisfaction.

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  • Veitch JA, Farley KMJ, Newsham GR. Environmental satisfaction in open-plan environments. Scale Validation and Methods. 2002:1-26.
  • El Asmar M, Chokor A, Srour I. Are building occupants satisfied with indoor environmental quality of higher education facilities? Energy Procedia. 2014; 50(480):751–60.
  • Liang HH, Chen CP, Hwang RL, Shih WM, Lo SC, Liao HY. Satisfaction of occupants toward indoor environment quality of certified green office buildings in Taiwan. Build Environ. 2014; 72:232–42.
  • USGBC. New Construction Reference Guide Version 2.2. 2nd ed. U.S. Green Building Council; 2006.
  • Frontczak M, Wargocki P. Literature survey on how different factors influence human comfort in indoor environments. Build Environment. 2011; 46(4):922–37.
  • Enegbuma WI, Aliagha U, Ali K. Preliminary building information modeling adoption model in Malaysia. Construction Innovation. 2014; 14(4):408–32.
  • Wargocki P, Frontczak M, Schiavon S, Goins J, Arens E, Zhang H. Satisfaction and self-estimated performance in relation to indoor environmental parameters and building features. 10th International Conference on Healthy Buildings; 2012. p. 1-7.
  • Frontczak M, Andersen RV, Wargocki P. Questionnaire survey on factors influencing comfort with indoor environmental quality in Danish housing. Build Environ. 2012; 50:56–64.
  • Frontczak M, Schiavon S, Goins J, Arens E, Zhang H, Wargocki P. Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design. Indoor Air. 2012; 22(2):119–31.
  • Heschong L. Daylighting in schools: An investigation into the relationship between day lighting and human performance. California Energy Commission. 1999. p. 140.
  • Heschong L. Windows and offices: A study of office worker performance and the indoor environment. California Energy Commission. 2003.
  • Hathaway W, Hargreaves J, Thompson G, Novitsky D. A study into the effects of light on children of elementary school age – A case of daylight robbery. Planning and Information Services Division. Alberta. 1992. p. 68.
  • Issa M, Rankin J, Atallah M, Chritian A. Absenteeism, performance and occupant satisfaction with the indoor environment of Green Toronto Schools. Indoor Built Environ. 2011; 20(5):511–23.
  • Webster T, Bauman F, Dickerhoff D, Lee YS. Case study of Environmental Protection Agency (EPA) Region 8 Headquarters Building. Denver, Colorado. 2008.
  • Lee YS. Comparisons of indoor air quality and thermal comfort quality between certification Levels of LEED-certified buildings in USA. Indoor Built Environ. 2011; 20:564.
  • Kline RB. Principles and practice of structural equation modeling. 4th ed. New York: Guilford Publications; 2015.
  • Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate Data Analysis. 7th ed. Multivariate Data Analysis; 2013.
  • Enegbuma WI, Ali KN, Ologbo AC, Aliagha UG. Preliminary study impact of building information modeling use in Malaysia. IFIP Advances in Information and Communication Technology. 2014; 442:51-62.
  • Awang Z, Afthanorhan A, Asri MAM. Parametric and non parametric approach in structural equation modeling (SEM): The application of bootstrapping. Modern Applied Science. 2015; 9(9):58–67.
  • Enegbuma WI. Factors affecting building information modeling adoption by Malaysian consultants and contractors [PhD Thesis]. University Technology Malaysia; 2016.
  • Enegbuma WI, Aliagha GU, Ali KN. Effects of perceptions on BIM adoption in Malaysian construction industry. Journal of Technology. 2015; 77(15):69–75.
  • Kamaruzzaman SN, Egbu CO, Zawawi EMA, Karim SBA, Woon CJ. Occupants’ satisfaction toward building environmental quality: Structural equation modeling approach. Environmental Monitoring Assessment. 2015; 187(5):1–4.


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