TY - JOUR
T1 - Development of sustainability's performance framework
T2 - Learning from executive viewpoints
AU - Anusornnitisarn, Pornthep
AU - Chindavijak, Chavatip
AU - Rassameethes, Bordin
AU - Meeampol, Sasivimol
AU - Kess, Pekka
AU - Hidayanto, Achmad Nizar
N1 - Publisher Copyright:
© 2017 Inderscience Enterprises Ltd.
PY - 2017
Y1 - 2017
N2 - The study develops the sustainability performance model which is based on learning from the viewpoints of the executives and practitioners. Further, it seeks to empirically test the causal relationships among the elements affecting the performance relating to enterprise sustainability. Using a sample of 504 respondents from manufacturing sectors found within Thailand, results of both confirmatory factor analysis and structural equation modelling (SEM) indicate that all of the hypothesised causal relationships within the purposed model are statistically significant. Measurements were developed, tested, and found to be both valid and reliable. The structural equation modelling technique was used to assess the validity of the measurement models and the structural models with a single test. Leadership was subsequently identified as a major driver for planning, communication, and capability and strongly supported anticipation and concern, which were shown to be elements that indirectly influence execution, performance, and report.
AB - The study develops the sustainability performance model which is based on learning from the viewpoints of the executives and practitioners. Further, it seeks to empirically test the causal relationships among the elements affecting the performance relating to enterprise sustainability. Using a sample of 504 respondents from manufacturing sectors found within Thailand, results of both confirmatory factor analysis and structural equation modelling (SEM) indicate that all of the hypothesised causal relationships within the purposed model are statistically significant. Measurements were developed, tested, and found to be both valid and reliable. The structural equation modelling technique was used to assess the validity of the measurement models and the structural models with a single test. Leadership was subsequently identified as a major driver for planning, communication, and capability and strongly supported anticipation and concern, which were shown to be elements that indirectly influence execution, performance, and report.
KW - Learning
KW - Structure Equation Model.
KW - Sustainability Performance
UR - http://www.scopus.com/inward/record.url?scp=85030096631&partnerID=8YFLogxK
U2 - 10.1504/IJIL.2017.086731
DO - 10.1504/IJIL.2017.086731
M3 - Article
AN - SCOPUS:85030096631
SN - 1471-8197
VL - 22
SP - 304
EP - 321
JO - International Journal of Innovation and Learning
JF - International Journal of Innovation and Learning
IS - 3
ER -