IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/vb2s7.html
   My bibliography  Save this paper

Perspectives on Empowerment, Job Redesign, Trust and Justice: A Delphi study in a military setting

Author

Listed:
  • Alonso Peña, Pablo
  • Bulnes, Luis Carlo

    (Vrije Universiteit Brussel)

  • Aerens, Sylvie
  • Hongenaert, Tilly
  • Sylin, Michel
  • Dhondt, Erwin

Abstract

The present study aimed at investigating the dynamics between appraisals of Empowerment(E), Job redesign (JR), Trust(T) and Justice (J)in the management of well-being within the military in contexts of structural change. Ninety-six experts took part in a series of questionnaire rounds following the Delphi method. First, the procedure intends to evoke experts’ spontaneous and anonymous opinions about a specific subject according to their expertise (i.e., what measures are necessary to improve Empowerment at Defense?). Subsequently, experts’ opinions were organized by main measures and used to generate a questionnaire in which the experts individually rated their relevancy. Ratings happen first blindly, and then with feedback of the groups’ responses until consensus. In a third phase, the experts rank and prioritize the top ten most relevant measures. Finally, the experts elaborate on how to implement them. Main results revealed that appraisals on the four levers (E, JR, T, J) cannot be studied separately from each other and are best described within five interrelated models of organizational change, specific to the military context. New avenues to study well-being in the military and their managerial aspects are discussed.

Suggested Citation

  • Alonso Peña, Pablo & Bulnes, Luis Carlo & Aerens, Sylvie & Hongenaert, Tilly & Sylin, Michel & Dhondt, Erwin, 2022. "Perspectives on Empowerment, Job Redesign, Trust and Justice: A Delphi study in a military setting," OSF Preprints vb2s7, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:vb2s7
    DOI: 10.31219/osf.io/vb2s7
    as

    Download full text from publisher

    File URL: https://osf.io/download/62477ec3a0fedd00b894ce69/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/vb2s7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    2. Sarah J. Freeman & Kim S. Cameron, 1993. "Organizational Downsizing: A Convergence and Reorientation Framework," Organization Science, INFORMS, vol. 4(1), pages 10-29, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    2. Zand, Fardad & Van Beers, Cees & Van Leeuwen, George, 2011. "Information technology, organizational change and firm productivity: A panel study of complementarity effects and clustering patterns in Manufacturing and Services," MPRA Paper 46469, University Library of Munich, Germany.
    3. Lin, Tun & De Guzman, Franklin, 2007. "Tourism for pro-poor and sustainable growth: economic analysis of tourism projects," MPRA Paper 24994, University Library of Munich, Germany.
    4. Di Zio, Simone & Bolzan, Mario & Marozzi, Marco, 2021. "Classification of Delphi outputs through robust ranking and fuzzy clustering for Delphi-based scenarios," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    6. Alyami, Saleh. H. & Rezgui, Yacine & Kwan, Alan, 2013. "Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 43-54.
    7. Ngoy Kabemba S. & Chisumbe Sampa & Petere Gaida & Mwiya Balimu & Mwanaumo Erastus, 2023. "Factors Influencing Professional Indemnity Insurance Use in Construction Risk Management," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 11(1), pages 199-220, January.
    8. Frederico Fernandes Ávila & Regina C. Alvalá & Rodolfo M. Mendes & Diogo J. Amore, 2024. "Socio-geoenvironmental vulnerability index (SGeoVI) derived from hybrid modeling related to populations at-risk to landslides," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(9), pages 8121-8151, July.
    9. van Asselt, E.D. & Meuwissen, M.P.M. & van Asseldonk, M.A.P.M. & Sterrenburg, P. & Mengelers, M.J.B. & van der Fels-Klerx, H.J., 2011. "Approach for a pro-active emerging risk system on biofuel by-products in feed," Food Policy, Elsevier, vol. 36(3), pages 421-429, June.
    10. Daniel Reißmann & Daniela Thrän & Alberto Bezama, 2018. "Key Development Factors of Hydrothermal Processes in Germany by 2030: A Fuzzy Logic Analysis," Energies, MDPI, vol. 11(12), pages 1-20, December.
    11. Myeonggil Choi & Changhan Lee, 2015. "Information Security Management as a Bridge in Cloud Systems from Private to Public Organizations," Sustainability, MDPI, vol. 7(9), pages 1-20, August.
    12. Odysseus Manoliadis & Ioannis Tsolas & Alexandra Nakou, 2006. "Sustainable construction and drivers of change in Greece: a Delphi study," Construction Management and Economics, Taylor & Francis Journals, vol. 24(2), pages 113-120.
    13. Grote, Matt & Waterson, Ben & Rudolph, Felix, 2021. "The impact of strategic transport policies on future urban traffic management systems," Transport Policy, Elsevier, vol. 110(C), pages 402-414.
    14. Haarhaus, Tim & Liening, Andreas, 2020. "Building dynamic capabilities to cope with environmental uncertainty: The role of strategic foresight," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    15. Julia A. Minson & Jennifer S. Mueller & Richard P. Larrick, 2018. "The Contingent Wisdom of Dyads: When Discussion Enhances vs. Undermines the Accuracy of Collaborative Judgments," Management Science, INFORMS, vol. 64(9), pages 4177-4192, September.
    16. Ribeiro, Barbara E. & Quintanilla, Miguel A., 2015. "Transitions in biofuel technologies: An appraisal of the social impacts of cellulosic ethanol using the Delphi method," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 53-68.
    17. Makkonen, Marika & Hujala, Teppo & Uusivuori, Jussi, 2016. "Policy experts' propensity to change their opinion along Delphi rounds," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 61-68.
    18. D F Andersen & J A M Vennix & G P Richardson & E A J A Rouwette, 2007. "Group model building: problem structuring, policy simulation and decision support," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(5), pages 691-694, May.
    19. repec:cte:wbrepe:wb083007 is not listed on IDEAS
    20. Wilson, Kevin J., 2017. "An investigation of dependence in expert judgement studies with multiple experts," International Journal of Forecasting, Elsevier, vol. 33(1), pages 325-336.
    21. Chun-Chieh Tseng & Jun-Yi Zeng & Min-Liang Hsieh & Chih-Hung Hsu, 2022. "Analysis of Innovation Drivers of New and Old Kinetic Energy Conversion Using a Hybrid Multiple-Criteria Decision-Making Model in the Post-COVID-19 Era: A Chinese Case," Mathematics, MDPI, vol. 10(20), pages 1-25, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:vb2s7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.