• Login
    View Item 
    •   Home
    • Research Publications
    • Business, Law and Social Sciences
    • Derby Business School
    • View Item
    •   Home
    • Research Publications
    • Business, Law and Social Sciences
    • Derby Business School
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UDORACommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjects

    My Account

    LoginRegister

    About and further information

    AboutOpen Access WebpagesOpen Access PolicyTake Down Policy University Privacy NoticeUniversity NewsTools for ResearchersLibraryUDo

    Statistics

    Display statistics

    Sustainability adoption through sustainable human resource management: a systematic literature review and conceptual framework

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Kumar, Anil cc
    Bhaskar, Preeti
    Nadeem, Simon Peter cc
    Tyagi, Mrinal
    Garza-Reyes, Jose Arturo cc
    Affiliation
    London Metropolitan University
    Ibra College of Technology, Oman
    University of Derby
    Issue Date
    2020-09
    
    Metadata
    Show full item record
    Abstract
    Sustainability is a key aspiration of most businesses as they face pressure from regulatory authorities as well as consumer demand for sustainable products. Sustainability discussion often revolves around the areas of raw materials, product and process design and innovation. However, the role of human resources is least discussed in this regard. This research utilises a systematic literature review approach to explores the concept of Sustainable Human Resource Management (SHRM) and identifies the indicators, drivers, barriers, and benefits of SHRM adoption. Based on the findings, an integrated conceptual framework that can be utilised by organisations for developing a long-lasting sustainability adoption through SHRM is proposed.
    Citation
    Kumar, A., Bhaskar, P., Nadeem, S.P., Tyagi, M. and Garza-Reyes, J.A. (2020). 'Sustainability adoption through Sustainable Human Resource Management : A Systematic Literature Review and Conceptual Framework”, International Journal of Mathematical, Engineering and Management Sciences, 5(6), pp. 1014–1031.
    Publisher
    IJMEMS
    Journal
    International Journal of Mathematical, Engineering and Management Sciences
    URI
    http://hdl.handle.net/10545/625307
    DOI
    10.33889/IJMEMS.2020.5.6.078
    Additional Links
    https://www.ijmems.in/volumes/volume5/number6/78-IJMEMS-SPCEOM19-P124-5-6-1014-1031-2020.pdf
    Type
    Article
    Language
    en
    ISSN
    2455-7749
    ae974a485f413a2113503eed53cd6c53
    10.33889/IJMEMS.2020.5.6.078
    Scopus Count
    Collections
    Derby Business School

    entitlement

     

    Related items

    Showing items related by title, author, creator and subject.

    • Thumbnail

      Population, resources and development / 2nd. Ed.

      Chrispin, Jane; Jegede, Francis; University of Derby (Collins Educational, 2000)
      A completely revised edition of this popular A level text.This book covers: 1. Growth, wealth and happiness 2. Colonialism, dependency and aid 3. Population dynamics and structure 4. Population movements and urbanisation 5. Population policies and food supply 6. Human resources and industrialisation 7. Natural resources and development 8. World trade, commodities and communications 9. Regional development policies 10. Tourism as a development strategy 11. Alternative strategies for development
    • Thumbnail

      Population, resources and development

      Chrispin, Jane; Jegede, Francis; University of Derby (Collins Educational, 1996)
      Award-winning geography text covers the following themes: global wealth distribution, debt and aid; population structure, dynamics and migration; development strategies and population policies; industrialization and employment; and energy resources, commodities and trade. National Book Award - this book won the Geographical Association’s Silver Award - 1996.
    • Thumbnail

      Evaluating innovation capabilities of real estate firms: a combined fuzzy delphi and dematel approach.

      Kumar, Anil; Kaviani, Mohamad Amin; Hafezalkotob, Ashkan; Zavadskas, Edmundas Kazimieras; University of Derby; Islamic Azad University, Shiraz, Iran; Islamic Azad University, Shiraz, Iran; Vilnius Gediminas Technical University; BML Munjal University; Islamic Azad University; et al. (Taylor and Francis., 2017-12-20)
      Due to strong competition, numerous technology advancements and the monetary policy of the government, the survival of Indian real estate firms now depends on their capacity to measure their existing innovation capabilities, rebuild them and adopt new ones. The aim of this study is to evaluate the technology and human resources innovation capabilities of Indian real estate firms by applying fuzzy Delphi and DEMATEL techniques. After identifying the innovation capabilities through an extensive literature review, a questionnaire is designed based on fuzzy linguistic scales to manage any vagueness of information received. Data has been collected from experts in the field, with capabilities then finalized by using a fuzzy Delphi method. To establish cause-effect relationships among capabilities, a DEMATEL method is applied to the data collected from a second questionnaire. Analysis of the data divides capabilities into two groups i.e. cause and effect. The results show that innovation management, robustness of product and process design capability, strategic planning and knowledge resources fall in the cause group; these are critical findings given the effect on the other capabilities. The study outcomes can help real estate firms to enhance their capabilities with the proposed model providing guidelines and direction in this regard.
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.