University of Sussex
Browse
16 July SPC paper.pdf (503.19 kB)

Short-term versus long-term benefits: balanced sustainability framework and research propositions

Download (503.19 kB)
journal contribution
posted on 2023-06-09, 03:28 authored by Lin Wu, Nachiappan SubramanianNachiappan Subramanian, Muhammad D Abdulrahman, Chang Liu, Kulwant S Pawar
Sustainability research has been expanding rapidly during recent decades. Such research takes various forms with the identification of mixed results. Even though there are several review articles on sustainability with valuable insights, the time dimension aspect of sustainability is totally missing in addition to lack of well-developed framework. This paper systematically reviews previous sustainability studies published in the refereed scientific journals for the past two decades to understand the evolution of sustainability issues in the business context and solutions proposed until now. The study categorizes the popular sustainability practices into short- and long-term practices based on the time effect, and link them with different forms of organizational capabilities and sustainability performance. The paper further proposes a two-dimensional sustainability framework that incorporates practices, capabilities and performance, and the balancing issues between short- and long-term sustainability. At the end, it suggests potential research directions for future research as well.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Sustainable Production and Consumption

ISSN

2352-5509

Publisher

Elsevier

Volume

11

Page range

18-30

Department affiliated with

  • Business and Management Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2016-10-11

First Open Access (FOA) Date

2017-09-29

First Compliant Deposit (FCD) Date

2016-10-12

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC