Abstract
Research Approach: Sustainability drivers were identified by literature review and validated by a survey with practitioners in the automobile sector. Focus group discussions among practitioners and academics were conducted to explore the interrelationships among these drivers in implementing sustainable management. Next, Interpretive Structured Modelling (ISM) was applied to transform these contextual relationships into a graphical model revealing interactions and hierarchies.
Findings and Originality: The graphical structure of the model gives a holistic view as to how sustainability drivers influence the implementation of a sustainability management practices. The model is discussed by triangulating extant literature and practitioners’ interpretation in the context of reverse logistics in the UK automobile sector.
Research Impact: This research seeks to develop the first structural model of sustainability drivers using an ISM approach. This empirical study demonstrates the importance of understanding the linked drivers, their relationships and impacts on the implementation of sustainable management.
Practical Implications: This paper demonstrates a sustainability driver model and applies it to the reverse logistics of the UK automobile sector. It will encourage practitioners to understand the importance of each driver, and to evaluate how core drivers influence their organisations’ sustainability practices. Organisations can then develop specific response strategies in relation to these drivers.
| Original language | English |
|---|---|
| Title of host publication | Annual Logistics Research Network Conference 2018 |
| Publisher | Chartered Institute Of Logistics And Transport |
| Pages | 227-234 |
| Number of pages | 8 |
| Publication status | Published - 2018 |
| Event | Annual Logistics Research Network Conference 2018 - Plymouth University, Plymouth, United Kingdom Duration: 5 Sep 2018 → 7 Sep 2018 Conference number: 23 https://ciltuk.org.uk/lrn2018 |
Conference
| Conference | Annual Logistics Research Network Conference 2018 |
|---|---|
| Country | United Kingdom |
| City | Plymouth |
| Period | 5/09/18 → 7/09/18 |
| Internet address |
Fingerprint
Keywords
- Sustainability
- sustainability drivers
- interpretive structural modelling
- Interaction
- focus group
Cite this
What Drives a Firm’s Sustainability Management?: Developing a Holistic Model. / Abd Hamid, Nur Fatin Binti; Lim, Ming; Barrow, Devon; Kwak, Dong-Wook.
Annual Logistics Research Network Conference 2018. Chartered Institute Of Logistics And Transport, 2018. p. 227-234.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding
}
TY - GEN
T1 - What Drives a Firm’s Sustainability Management?: Developing a Holistic Model
AU - Abd Hamid, Nur Fatin Binti
AU - Lim, Ming
AU - Barrow, Devon
AU - Kwak, Dong-Wook
PY - 2018
Y1 - 2018
N2 - Purpose: Several factors affect the implementation of sustainable management practices within reverse logistics. How they are related, and how they influence the choice of, and implementation of sustainable management practices, however remains a grey area. This paper develops a structural model of the key relationship, interactions and hierarchies among key drivers of sustainable management within reverse logistics in the automobile sector. A better understanding of the influence of these drivers, should assist organisations in better selecting among appropriate sustainability practice choices, and driving organisational change. Research Approach: Sustainability drivers were identified by literature review and validated by a survey with practitioners in the automobile sector. Focus group discussions among practitioners and academics were conducted to explore the interrelationships among these drivers in implementing sustainable management. Next, Interpretive Structured Modelling (ISM) was applied to transform these contextual relationships into a graphical model revealing interactions and hierarchies. Findings and Originality: The graphical structure of the model gives a holistic view as to how sustainability drivers influence the implementation of a sustainability management practices. The model is discussed by triangulating extant literature and practitioners’ interpretation in the context of reverse logistics in the UK automobile sector. Research Impact: This research seeks to develop the first structural model of sustainability drivers using an ISM approach. This empirical study demonstrates the importance of understanding the linked drivers, their relationships and impacts on the implementation of sustainable management.Practical Implications: This paper demonstrates a sustainability driver model and applies it to the reverse logistics of the UK automobile sector. It will encourage practitioners to understand the importance of each driver, and to evaluate how core drivers influence their organisations’ sustainability practices. Organisations can then develop specific response strategies in relation to these drivers.
AB - Purpose: Several factors affect the implementation of sustainable management practices within reverse logistics. How they are related, and how they influence the choice of, and implementation of sustainable management practices, however remains a grey area. This paper develops a structural model of the key relationship, interactions and hierarchies among key drivers of sustainable management within reverse logistics in the automobile sector. A better understanding of the influence of these drivers, should assist organisations in better selecting among appropriate sustainability practice choices, and driving organisational change. Research Approach: Sustainability drivers were identified by literature review and validated by a survey with practitioners in the automobile sector. Focus group discussions among practitioners and academics were conducted to explore the interrelationships among these drivers in implementing sustainable management. Next, Interpretive Structured Modelling (ISM) was applied to transform these contextual relationships into a graphical model revealing interactions and hierarchies. Findings and Originality: The graphical structure of the model gives a holistic view as to how sustainability drivers influence the implementation of a sustainability management practices. The model is discussed by triangulating extant literature and practitioners’ interpretation in the context of reverse logistics in the UK automobile sector. Research Impact: This research seeks to develop the first structural model of sustainability drivers using an ISM approach. This empirical study demonstrates the importance of understanding the linked drivers, their relationships and impacts on the implementation of sustainable management.Practical Implications: This paper demonstrates a sustainability driver model and applies it to the reverse logistics of the UK automobile sector. It will encourage practitioners to understand the importance of each driver, and to evaluate how core drivers influence their organisations’ sustainability practices. Organisations can then develop specific response strategies in relation to these drivers.
KW - Sustainability
KW - sustainability drivers
KW - interpretive structural modelling
KW - Interaction
KW - focus group
M3 - Conference proceeding
SP - 227
EP - 234
BT - Annual Logistics Research Network Conference 2018
PB - Chartered Institute Of Logistics And Transport
ER -