Details

Autor(en) / Beteiligte

• Valase, Keshav
• Raut, D. N.

Titel

Mediation analysis of multiple constructs in the relationship between manufacturing and technology and environmental constructs in structural equation model for sustainable manufacturing

Ist Teil von

• International journal of advanced manufacturing technology, 2019-04, Vol.101 (5-8), p.1887-1901

Ort / Verlag

London: Springer London

Erscheinungsjahr

2019

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Sustainable Manufacturing (SM) has been a buzzword for manufacturing industries in present state of intense competition but the research in this field needs to be enhanced towards developing an integrated and comprehensive approach for its adoption. The main objective of this study is to address this need by identifying and quantifying the mediating effects in complex causal structures of various domains by means of path modeling. A partial least square–structural equation modeling (PLS–SEM) is proposed and tested using survey data of Indian engineering manufacturing industries, collected using SurveyMonkey platform by sending emails to 999 organizations. Actual responses received were 87 with 15 incomplete responses giving finally 72 responses with no missing data. The p value for social to environmental domain of 0.640 did not show satisfactory performance at 1% confidence level and indicated a need to address the activities under social domain. For rest hypothesis, the results indicated satisfactory performance of the model, even for “manufacturing and technology” domain which is the endogenous variable. The results of mediation analysis showed a p value of 0.645 for the mediation effect of social domain which is not satisfactory, implying no mediation effect whereas economical domain has a partial mediation effect at 1% confidence level, in the relationship between exogenous construct and target endogenous construct. This research is expected to provide a systematic approach for the enhancement of SM practices in manufacturing firms for further improving decision-making towards controlling environmental impacts of their activities.