Ozgur Gocer

Dr. Ozgur Gocer

Sydney University
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 February 2024 in Journal of Rural Studies
Verified
Journal Article
Open access
Ozgur GocerOzgur Gocer
Ozgur Gocer
DBDidem Boyacioglu
Didem Boyacioglu
EKEbru Ergoz Karahan
Ebru Ergoz Karahan
PSPranita Shrestha
Pranita Shrestha

26 April 2016 in Building Simulation
Verified
Journal Article
Closed access
PDF file
Ozgur GocerOzgur Gocer
Ozgur Gocer
YHY. Hua
Y. Hua
KGKenan Göçer
Kenan Göçer

14 July 2024 in Building and Environment
Verified
Journal Article
Open access
MYMuhammed Yildirim
Muhammed Yildirim
Anastasia GlobaAnastasia Globa
Anastasia Globa
Ozgur GocerOzgur Gocer
Ozgur Gocer
ABArianna Brambilla
Arianna Brambilla

30 August 2019 in Buildings
Verified
Journal Article
Open access
Ozgur GocerOzgur Gocer
Ozgur Gocer
Christhina CandidoChristhina Candido
Christhina Candido
LTLeena Thomas
Leena Thomas
KGKenan Göçer
Kenan Göçer
This paper reports the results from a dataset comprising 9794 post-occupancy evaluation (POE) surveys from 77 Australian open-plan offices. This paper specifically focuses on a sub-set of 20 offices (n = 2133), identified from ranking 10 offices each, with the least (n = 1063) and highest (n = 1070) satisfaction scores, respectively. The satisfaction scores were evaluated on the basis of seven factors (i.e., building/office aesthetics and quality, thermal comfort and indoor air quality, noise distraction and privacy, personal control, connection to outdoor environment, maintenance and visual comfort, and individual space). Using the POE survey data from 20 offices, regression analyses and two-way ANOVA tests were carried out to understand the differences in occupants’ satisfaction and perceived productivity arising from open-plan offices. According to the statistically significant regression analyses results, it was identified that building/office aesthetics and quality (β = 0.55, p < 0.001) and noise distraction and privacy (β = 0.33, p < 0.001) were the two strongest predictors contributing perceived productivity in low-performance offices. Two-way ANOVA test results for the 10 high-performance offices indicate that the perceived productivity was strongly associated with the office’s physical configuration, the employees’ working experience, and the working hours at that office.

1 October 2021 in Journal of Rural Studies
Verified
Journal Article
Closed access
Ozgur GocerOzgur Gocer
Ozgur Gocer
PSPranita Shrestha
Pranita Shrestha
DBDidem Boyacioglu
Didem Boyacioglu
KGKenan Gocer
Kenan Gocer
EKEbru Ergöz Karahan
Ebru Ergöz Karahan

1 November 2018 in Building and Environment
Verified
Journal Article
Closed access
Ozgur GocerOzgur Gocer
Ozgur Gocer
KGKenan Göçer
Kenan Göçer
ABAltuğ M. Başol
Altuğ M. Başol
MKM. Furkan Kıraç
M. Furkan Kıraç
AÖAyşe Özbil
Ayşe Özbil
BÖBarış Özcan
Barış Özcan