Sustainable business model adoption among S&P 500 firms : A longitudinal content analysis study
(2018) In Journal of Cleaner Production 170. p.216-226- Abstract
In this study, we examine the diversity of sustainable business models adopted by the largest global corporations — those listed in the S&P 500 index — over the period 2005–2014. We examine press release communications during this period, which represent public data about business-relevant events. We expect that examining this communication can reveal longitudinal patterns in the adoption of sustainable business activities and models. Empirically, we utilize academic and practitioner expert panels to build a set of keywords across nine sustainable business model archetypes and utilize automated content analysis to examine the breadth and nature of a firm's sustainable business activities and practices. We find evidence of the... (More)
In this study, we examine the diversity of sustainable business models adopted by the largest global corporations — those listed in the S&P 500 index — over the period 2005–2014. We examine press release communications during this period, which represent public data about business-relevant events. We expect that examining this communication can reveal longitudinal patterns in the adoption of sustainable business activities and models. Empirically, we utilize academic and practitioner expert panels to build a set of keywords across nine sustainable business model archetypes and utilize automated content analysis to examine the breadth and nature of a firm's sustainable business activities and practices. We find evidence of the increasing prominence of different types of sustainable business models over time. In particular, the results show that large capitalized firms have mostly adopted the environmentally-oriented archetypes, and to much lesser extent the societal and organizational ones.
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- author
- Ritala, Paavo ; Huotari, Pontus ; Bocken, Nancy LU ; Albareda, Laura and Puumalainen, Kaisu
- organization
- publishing date
- 2018-01-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Content analysis, Large cap, S&P 500, Sustainability, Sustainable business models
- in
- Journal of Cleaner Production
- volume
- 170
- pages
- 11 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85031933326
- ISSN
- 0959-6526
- DOI
- 10.1016/j.jclepro.2017.09.159
- language
- English
- LU publication?
- yes
- id
- 200385fe-1317-444f-be1f-ad53b7d573b3
- date added to LUP
- 2017-10-30 10:34:37
- date last changed
- 2022-04-25 03:30:53
@article{200385fe-1317-444f-be1f-ad53b7d573b3, abstract = {{<p>In this study, we examine the diversity of sustainable business models adopted by the largest global corporations — those listed in the S&P 500 index — over the period 2005–2014. We examine press release communications during this period, which represent public data about business-relevant events. We expect that examining this communication can reveal longitudinal patterns in the adoption of sustainable business activities and models. Empirically, we utilize academic and practitioner expert panels to build a set of keywords across nine sustainable business model archetypes and utilize automated content analysis to examine the breadth and nature of a firm's sustainable business activities and practices. We find evidence of the increasing prominence of different types of sustainable business models over time. In particular, the results show that large capitalized firms have mostly adopted the environmentally-oriented archetypes, and to much lesser extent the societal and organizational ones.</p>}}, author = {{Ritala, Paavo and Huotari, Pontus and Bocken, Nancy and Albareda, Laura and Puumalainen, Kaisu}}, issn = {{0959-6526}}, keywords = {{Content analysis; Large cap; S&P 500; Sustainability; Sustainable business models}}, language = {{eng}}, month = {{01}}, pages = {{216--226}}, publisher = {{Elsevier}}, series = {{Journal of Cleaner Production}}, title = {{Sustainable business model adoption among S&P 500 firms : A longitudinal content analysis study}}, url = {{http://dx.doi.org/10.1016/j.jclepro.2017.09.159}}, doi = {{10.1016/j.jclepro.2017.09.159}}, volume = {{170}}, year = {{2018}}, }