Applying the Fuzzy Delphi Method to the Content Validity of the Female Leadership Personality Instrument

Authors

  • Nuha Abdullah Department of Educational Leadership and Policy, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia
  • Norasmah Othman Department of Educational Leadership and Policy, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia

Keywords:

Women’s leadership, personality traits, fuzzy Delphi method (FDM), content validity, expert consensus

Abstract

The number of female decision-makers in the public sector level remains low, suggesting that Malaysia’s current policy to ensure that both the government and private sectors maintain their workforce with at least 30% female decision-makers, has not been achieved. Female personalities and behaviors that do not meet the cultural standards of strong leadership contribute to the lack of female representation in decision-making departments. Therefore, to meet the goal of 30% female decision-makers, a suggested strategy is to build an instrument that can help women identify standard leadership personality characteristics to meet those standards. In the process of building the instrument, the items need to be measured to confirm that they represent the correct characteristics. Therefore, this study, which was conducted from October to November 2020, uses the Fuzzy Delphi Method (FDM) to obtain the consensus of experts when determining the relevant items to measure the personality traits of female decision-makers, namely, their influence, charisma, pro-activeness, assertiveness, vision, integrity, fairness, and risk-taking. A total of 14 expert panelists were involved in this study and all data collected were analyzed using the Fuzzy Delphi method. The analysis showed that a total of 59 items met all the requirements: threshold value (d) gif.latex?\leq  0.2, gif.latex?\alpha-cut value gif.latex?\geq 0.5 and agreement percentage of more than 75%. This instrument could help select female leaders for decision-making positions according to traits and characteristics, and contribute to the innovation of the FDM in assessing content validity for items that measure constructs, particularly female leadership traits.

References

Abdullah JB, Yusof SN. A fuzzy Delphi method - developing high-performance leadership standard for Malaysian school leaders. JESS. 2018; 9(2): 1-10.

Abdullah NM, Omar AH, Rambat S. et al. Fuzzy Delphi for marine space stakeholder framework development: an analytical literature review. WCS-CE - The World Cadastre Summit, Congress & Exhibition. 2015: 1-21.

Adler M, Ziglio E. Gazing into the oracle: The Delphi method and its application to social policy and public health. London: Jessica Kingsley Publishers; 1996.

Alias N, Rosman F, Rahman MNA, Dewitt D. The potential of video game in Malay language learning for foreign students in a public higher education institution. Procedia Soc. Behav. Sci. 2015; 176: 1020-1027.

Ariavie GO, Ovuworie GC. Delphi fuzzy elicitation technique in the determination of third party failure probability of onshore transmission pipeline in the Niger Delta region of Nigeria. Journal of Applied Sciences and Environmental Management. 2012; 16(1): 95-101.

Ariffin A, Mohd Yusof NAA, Siraj S, Md. Nor M. Fuzzy Delphi Method (fdm): Determining phase for multicultural-based model of peace education curriculum for preschool children. JRPPTTE. 2018; 8(1): 5-17.

Bala Subramanian R, Irudayaraj ISF, S George SJ. Women leadership in organization. IMJ. 2016; 8(2): 15-26.

Bodjanova S. Median alpha-levels of a fuzzy number. Fuzzy Sets Syst. 2006; 157(7): 879-891.

Bourgeois J, Pugmire L, Stevenson K, Swanson N, Swanson B. The Delphi method: A qualitative means to a better future. 2006; [cited 2020 Nov25]; Available from: https://www.yumpu.com/ en/document/view/31411724/the-delphi-method-a-qualitative-means-to-a-better-future-freequality

Carli LL, Eagly AH. Women face a labyrinth: An examination of metaphors for women leaders. Gend Manag. 2016; 31(8): 514-527.

Chang PT, Huang LC, Lin HJ. The Fuzzy Delphi method via Fuzzy statistics and membership function fitting and an application to the human resources. Fuzzy Sets Syst. 2000; 112(3): 511-520.

Chen CT. Extensions of the topics for group decision-making under fuzzy environment. Fuzzy Sets Syst. 2000; 114(1): 1-9.

Cheng CH, Lin Y. Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. Euro J Oper Res. 2002; 142(1): 174-186.

Chu HC, Hwang GJ. A Delphi-based approach to developing expert systems with the cooperation of multiple experts. Expert Syst App. 2008; 34(4): 2826-2840.

Dapari R, Ismail H, Ismail R, Ismail NR. Application of Fuzzy Delphi in the selection of COPD risk factors among steel industry workers. Tanaffos. 2017; 16(1): 46-52.

Dong L, Hsu WL. Constructing a Light Rail Transit Assessment Index by using the Fuzzy Delphi Method. In: Donald KTL, Teen HM, Prior SD. editor. Proceedings of IEEE International Conference on Applied System Innovation (ICASI); 2018 Apr 13-17; Japan. Taiwan: TIKI; 2018. pp. 946-949.

Eagly AH, Carli LL. The female leadership advantage: An evaluation of the evidence. Leadersh. Q. 2003; 14(6): 807-834.

Fiscal and Economic Division. Budget 2018. Ministry of Finance Malaysia; 2017; [cited 2020 Oct 19]; Available from:http://www.mof.gov.my/portal/arkib/ekonomi/ek_main.html.

Habibi A, Jahantigh FF, Sarafrazi A. Fuzzy Delphi technique for forecasting and screening items. AJRBEM. 2015; 5(2): 130-143.

Hasan A, Hassan MSM, Fauzi MNH. Exploring a Green Element to Greening the Existing Curriculum in Polytechnic Malaysia. Pertanika J Soc Sci. 2017; 25(S): 217-224.

Hasson F, Keeney S, McKenna H. Research guidelines for the Delphi survey technique. J Adv Nurs. 2000; 32(4): 1008-1015.

Hryniewicz LGC, Vianna MA. Women and leadership: obstacles and gender expectations in managerial positions. Cad. EBAPE.BR. 2018; 16(3): 331-334.

Hsu YL, Lee CH, Kreng VB. The application of Fuzzy Delphi Method and Fuzzy AHP in lubricant regenerative technology selection. Expert Syst Appl. 2010; 37(1): 419-425.

Hsu CC, Sandford BA. The Delphi technique: making sense of consensus. Pract. Assess. Res. Eval. 2007; 12(10): 1-8.

Jones H, Twiss BC. Forecasting technology for planning decisions. London: Macmillan; 1978.

Kaufman A, Gupta MM. Fuzzy mathematical models in engineering and management science. New York: Elsevier Science Inc; 1988.

Khadri NAM, Subramaniam G. Women’s intention to enter top management in Malaysia: A closer look at the “glass ceiling” phenomenon. In: Mohamad MR, Ismail M, Yasoa’ MR, Ibrahim MAH, Che Musa Z. editor. ISEB2015: Proceedings of the 4th International Seminar on Entrepreneurship and Business; 2015 Oct 17; Penang. UMK: FEB; 2015. pp. 255-267.

Lim YM, Tan LP, Benjamin TY. A study on women’s career advancement in Malaysia. JHSS. 2013; 2(1): 21-34.

Mabrouk NB. Green supplier selection using fuzzy Delphi method for developing sustainable supply chain. Decis. Sci. Lett. 2021;10(1): 63–70.

Manakandan SJ, Rosnah I, Mohd Ridhuab MJ, Ragunath P. Pesticide applicators questionnaire content validation: A fuzzy Delphi method. Med Malays. 2017; 72(4): 228-235.

Maxwell JC. The 21 indispensable qualities of a leader. Nashville: Thomas Nelson Publishers; 1999.

Mohd Jamil MR & Noh MN. Methodological diversity in design and development research. Shah Alam: Qaisar Prestige Resources; 2020.

Mohd Jamil MR, Siraj S, Hussin Z, Noh MN, Sapar AA. Basic introduction of the fuzzy Delphi method in design and development research. Bangi, Selangor: Minda Intelek Agency; 2017.

Moore D. Gender traits and identities in a "masculine" organization: The Israeli police force. J Soc Psychol. 1999; 139(1): 49-68.

Moore D, Gobi A. Role conflict and perceptions of gender roles (the case of Israel). Sex Roles. 1995; 32(3- 4): 251-270.

Mosayebi A, Ghorbani S, Masoomi B. Applying fuzzy delphi and best-worst method for identifying and prioritizing key factors affecting on university-industry collaboration. Decis Sci Lett. 2020; 9(1): 107-118.

Murray T, Pipino L, Gigch J. A pilot study of fuzzy set modification of Delphi. Hum Syst Manag. 1985; 5(1): 76-80.

Murray JW, Hammons JO. Delphi: A versatile methodology for conducting qualitative research. Rev High Ed. 1995; 18(4): 423-436.

Mustapha R, Darusalam G. Application of the delphi fuzzy method in social science research. Kuala Lumpur: University of Malaya Publication; 2018.

Noh NM, Razak SHA, Alias N, Siraj S, Jamil MRM, Hussin Z. Usage of Facebook: The future impact of curriculum implementation on students in Malaysia. Procedia Soc Behav Sci. 2013; 103:1261-1270.

Noh NM, Siraj S, Jamil MRM, Husin Z, Sapa AA. Design of guidelines on the learning psychology in the use of Facebook as a medium for teaching & learning in secondary school. TOJET. 2015; 14(1): 39-44.

Ocampo L, Ebisa JA, Ombe J, Escoto MG. Sustainable ecotourism indicators with fuzzy Delphi method: A Philippine perspective. Ecol Indic. 2018; 93: 874-888.

Pill J. The Delphi method: substance, context, a critique and an annotated bibliography. Socio-Econ Plann Sci. 1971; 5(1): 57-71.

Piscopo JM, Och M. Working Paper Effective, decisive, and inclusive: Women’s leadership in covid-19 response and recovery. New York; Leadership and Governance Section UN Women; September 2021.

Policy and Strategic Development Division. Female civil servant statistics data in Malaysia 2020-2021. Ministry of Women, Family and Community Development; 2020. [cited 2020 Dec 8]; Available from: https://www.kpwkm.gov.my/kpwkm/uploads/files/Penerbitan/

BukuPerangkaan/e- book%E2%80%A2KPWKM 2020-2021 291122.pdf

Prime Minister Department of Malaysia. Lists of the General Secretary and Head of Service in the Malaysian Ministry [serial on the Internet]. 2020 [cited 2020 Dec 29]. Available from: http://www.kabinet.gov.my/bkpp/index.php/ksukp/ksukp.

Pu W, Tianyun S. Identification Methods of Synergy in Railway Material Management. In: Bao Li J. Editor, IMCCC2015. Proceeding of Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control; 2015 Sept 18-20; China. IEEE; 2015, pp. 1596-1599.

Pua PK, Lai CS, Lee MF. Identifying Mental Health Elements among Technical University Students Using Fuzzy Delphi Method. In: IOP Conference Series: Materials Science and Engineering 226 [Internet]. 2017; 226: 1-7.

Rubio DM, Berg-Weger M, Tebb SS, Lee SE, Rauch S. Objectifying content validity: conducting a content validity study in social work research. Soc. Work Res. 2003; 27(2): 94-104.

Saaty TL, Özdemir MS. How many judges should there be in a group? Ann Data Sci. 2014; 1(3): 359-368.

Sánchez-Lezama AP, Cavazos-Arroyo J, Albavera-Hernández C. Applying the Fuzzy Delphi method for determining socio-ecological factors that influence adherence to mammography screening in rural areas of Mexico. Cad de Saude Publica. 2014; 30(2): 245-258.

Skulmoski GJ, Hartman FT, Krahn J. The Delphi method for graduate research. J Inf Technol. 2007; 6:1-21.

Tang CW, Wu CT. Obtaining a picture of undergraduate education quality: A voice from inside the university. Higher Education. 2020; 60(3): 269-286.

Tohidi H. Review the benefits of using value engineering in information technology project management. Procedia Comput Sci. 2011; 3:917-924.

UN Women. 2020. Annual Report 2019-2020. New York: UN Women Headquarters.

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Published

2023-03-29

How to Cite

Abdullah, N. ., & Othman, N. . (2023). Applying the Fuzzy Delphi Method to the Content Validity of the Female Leadership Personality Instrument . Thailand Statistician, 21(2), 337–350. Retrieved from https://ph02.tci-thaijo.org/index.php/thaistat/article/view/249005

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