Designing a Hierarchy Process of Human Resource Motivation in Scientific-Research Systems Designing a Hierarchy Process of Human Resource Motivation in Scientific-Research Systems A new Approach of Structural Model design in the Context of Fuzzy Decision Data
International Journal of Applied Behavioral Sciences,
Vol. 10 No. 3 (2023),
20 September 2023
,
Page 31-38
https://doi.org/10.22037/ijabs.v10i3.42380
Abstract
Background and Aim:Motivation encourages employees to engage in their jobs and, consequently, to achieve organizational goals. So, the purpose of this research is to design a Hierarchy process of human resource motivation in scientific-research organization based on fuzzy Approach.Materials and Methods:The population consists of academic experts. The data analysis was conducted in Yager Fuzzy Space. The present study is a survey and, in terms of objectives, is applied. Additionally, it is descriptive-survey in terms of the data collection method.Results:Based on MD (Fuzzy Degree of Membership), the internal motivation factors have a higher degree of membership compared to external factors, which shows the importance and effectiveness of internal factors in creating motivation, it also shows the applicability of this model according to the current situation. The research findings include the Interpretative Structural Integrated Model at four levels that is consistent with motivational models such as Maslow, Alderfer, and Herzberg.Conclusion:The optimization of service compensation plans is placed at the lowest level and the optimal work environment and the promotion of safety and health are placed at the highest level, i.e. the first level. The higher the elements are, the less their stimulus and the higher their degree of dependency would be. Therefore, the optimal work environment, enhancement of safety and health are the most dependent elements of the model and optimization of service compensation plans is the most driving element of the model.
- Herzberg motivation model, motivational factors, Yager fuzzy model, Interpretive Structural Modeling
How to Cite
References
Andersen SL. Stress, sensitive periods, and substance abuse. Neurobiol Stress. 2018;10:100140.
Ghoreishi FS, Assarian F, Rezaei M, Kermanshah Z. The Efficacy of Methadone Maintenance Therapy on the Quality of Life and Marital Satisfaction among Substance Users. Int J Appl Behav Sci. 2020;7(1):24-32.
Mamsharifi P, Jamehbozorg A, Takjoo J. The Effectiveness of Cognitive Rehabilitation on Increased Attention and Memory Functions in Heroin Addicts. etiadpajohi. 2020; 4(55): 143-229.
Daniels J, Netherland JC, Lyons AP. White Women, U.S. Popular Culture, and Narratives of Addiction. Contemp Drug Probl. 2018;45(3):329-46.
Perka EJ, Jr. Culture change in addictions treatment: a targeted training and technicalassistance initiative affects tobacco-related attitudes and beliefs in addiction treatment settings. Health Promot Pract. 2011;12(6 Suppl 2):159s-65s.
Ghaseminejad MA, Purgholami F, Sadrmohamadi R. Simple and Multiple Relationships between morningness/eveningnessOrientation, anxiety sensitivity and Addiction in University Students. Int J Appl Behav Sci. 2015;2(2):1-6.
Diagnostic and statistical manual of mental disorders: DSM-5™, 5th ed. Arlington, VA, US: American Psychiatric Publishing, Inc.; 2013. xliv, 947-xliv, p.
Garami J, Valikhani A, Parkes D, Haber P, Mahlberg J, Misiak B, et al. Examining Perceived Stress, Childhood Trauma and Interpersonal Trauma in Individuals With Drug Addiction. Psychol Rep. 2019; 122(2):433-50.
Siadat M, Gholami Z. The Effectiveness of Group Logotherapy in Increasing Resilience and Decreasing Depression among Individuals Affected by Substance Abuse in Tehran. Int J Appl Behav Sci. 2018; 5(1); 24-30.
Nutt D, Nestor L. Addiction (Oxford Psychiatry Library). Oxford, UK: Oxford University Press; 2013 2013-10.
Aryan N, Banafshe HR, Farnia V, Shakeri J, Alikhani M, Rahimi H, et al. The therapeutic effects of methylphenidate and matrix-methylphenidate on addiction severity, craving, relapse and mental health in the methamphetamine use disorder. Subst Abuse Treat Prev Policy. 2020;15(1):72.
Rodzlan Hasani WS, Miaw Yn JL, Saminathan TA, Robert Lourdes TG, Ramly R, Abd Hamid HA, et al. Risk Factors for Illicit Drug Use Among Malaysian Male Adolescents. Asia-Pacific J Publ Health. 2019;31(8_suppl):48s-56s.
Thille P. Book Review: Todd Meyers, The Clinic and Elsewhere: Addiction, Adolescents, and the Afterlife of Therapy. Health. 2014;19(1):108-9.
Gopiram P, Kishore MT. Psychosocial Attributes of Substance Abuse Among Adolescents and Young Adults: A Comparative Study of Users and Non-users. Indian J Psychol Med. 2014;36(1):58-61.
Mamsharifi P, Sohrabi F, Borjali A. Mediating Role of Coping Strategies in the Relationship between Family Communication Pattern and Addiction Potential. etiadpajohi. 2021;15(59):311-34.
Malik AA, Nawaz S, Tahir AA, Ahmed S, Ashraf S, Hanif N, et al. Knowledge andawareness of harmful effect of substance abuse among users and non-users: a cross-sectional study from Bari Imam. JPMA. 2012;62(4):412-5.
Gendreau P, Gendreau LP. The "addiction-prone" personality: A study of Canadian heroin addicts. Can J Behav Sci / Revue canadienne des sciences du comportement. 1970;2(1):18-25.
Simcharoen S, Pinyopornpanish M, Haoprom P, Kuntawong P, Wongpakaran N, Wongpakaran T. Prevalence, associated factors and impact of loneliness and interpersonal problems on internet addiction: A study in Chiang Mai medical students. Asian J Psychiatr. 2018;31:2-7.
Ramsay DS, Kaiyala KJ, Woods SC. Individual differences in biological regulation: Predicting vulnerability to drug addiction, obesity, and other dysregulatory disorders. Exp Clin Psychopharmacol. 2020;28(4):388-403.
Rahman MM, Rahaman MM, Hamadani JD, Mustafa K, Shariful Islam SM. Psycho-social factors associated with relapse to drug addiction in Bangladesh. J Subst Use. 2016;21(6):627-30.
Lee J, Sung M-J, Song S-H, Lee Y-M, Lee J-J, Cho S-M, et al. Psychological Factors Associated With Smartphone Addiction in South Korean Adolescents. J Early Adolesc. 2016;38(3):288-302.
Kee YH, Li C, Wang J, Kailani MIB. Motivations for Volunteering and Its Associations with Time Perspectives and Life Satisfaction: A Latent Profile Approach. Psycholo rep. 2018;121:932 - 51.
Wilson J. Volunteering. Annu Rev Sociol. 2000;26(1):215-40.
Jenkinson CE, Dickens AP, Jones K, Thompson-Coon J, Taylor RS, Rogers M, et al. Is volunteering a public health intervention? A systematic review and meta-analysis of the health and survivalof volunteers. BMC public health. 2013;13:773.
Chacón F, Gutiérrez G, Sauto V, Vecina ML, Pérez A. Volunteer Functions Inventory: A systematic review. Psicothema. 2017;29(3):306-16.
Oh D-G. Analysis of the factors affecting volunteering, satisfaction, continuation will, and loyalty for public library volunteers: An integrated structural equation model. J Librarian Inform Sci. 2019;51(4):894-914.
Stukas AA, Snyder M, Clary EG. Understanding and encouraging volunteerism and community involvement. The J Soc Psychol. 2016;156(3):243-55.
Anderson ND, Damianakis T, Kröger E, Wagner LM, Dawson DR, Binns MA, et al. The benefits associated with volunteering among seniors: a critical review and recommendations for future research. Psychol Bull. 2014;140(6):1505-33.
Sundram F, Corattur T, Dong C, Zhong K. Motivations, Expectations and Experiences in Being a Mental Health Helplines Volunteer. Int J Environ Res Public Health. 2018;15(10):2123.
Vanderstichelen S, Houttekier D, Cohen J, Van Wesemael Y, Deliens L, Chambaere K. Palliative carevolunteerism across the healthcare system: A survey study. Palliat Med. 2018;32(7):1233-45.
Niebuur J, Liefbroer AC, Steverink N, Smidt N. The Dutch Comparative Scale for Assessing Volunteer Motivations among Volunteers and Non-Volunteers: AnAdaptation of the Volunteer Functions Inventory. Int J Environ Res Public Health. 2019;16(24):5047.
Lough BJ, Xiang X. Skills-Based International Volunteering Among Older Adults From the United States. Admin Soc. 2014;48(9):1085-100.
Lough BJ, Oppenheim W. Revisiting reciprocity in international volunteering. Progr Dev Stud. 2017;17(3):197-213.
Caligiuri P, Mencin A, Jiang K. Win–win–win: The influence of company‐sponsored volunteerism programs on employees, NGO's, and business units. Person Psychol. 2013; 66(4):825-60.
Mikołajczak P, Bajak P. Does NGOs’ Commercialization Affect Volunteer Work? The Crowding out or Crowding in Effect. Publ Organ Rev. 2020.
Niebuur J, van Lente L, Liefbroer AC, Steverink N, Smidt N. Determinants of participation in voluntary work: a systematic review and meta-analysis of longitudinal cohort studies. BMC public health. 2018;18(1):1213.
Organization HG. Volunteering and its Surprising Benefits: How Giving to Others Makes You Healthier and Happier www.helpguide.org: www.helpguide.org; 2020 [updated October 2020.
Handy F, Mook L. Volunteering and Volunteers: Benefit-Cost Analyses. Res Soc Work Pract. 2010;21(4):412-20.
Hasin DS, O'Brien CP, Auriacombe M, Borges G, Bucholz K, Budney A, et al. DSM-5 criteria for substance use disorders: recommendations and rationale. Am J Psychiatry. 2013;170(8):834-51.
Kim HS, Hodgins DC. Component Model of Addiction Treatment: A Pragmatic Transdiagnostic Treatment Model of Behavioral and Substance Addictions. Front Psychiatr. 2018;9:406.
Cockroft JD, Adams SM, Matlock D, Dietrich MS. Reliability and construct validity of 3 psychometric trust scales for women seeking substance abuse treatment in a community setting. Subst Abuse. 2020;41(3):391-9.
Bell J. Doing Your Research Project: A guide for first-time researchers: McGraw-Hill Education (UK); 2014.
Sohrabi F, Mamsharifi P, Rafezi Z, A'azami Y. Predicting Addiction Potential based on Mental Health, Social Support and Neuroticism and Agreeableness Personality Traits. IJPN. 2019; 6(6):57-66
Clary EG, Snyder M, Ridge RD, Copeland J, Stukas AA, Haugen J, et al. Understanding and assessing the motivationsof volunteers: A functional approach. J Pers Soc Psychol. 1998;74(6):1516-30.
Weed NC, Butcher JN, McKenna T, Ben-Porath YS. New measures for assessing alcohol and drug abuse with the MMPI-2: The APS and AAS. J Pers Assess. 1992;58(2):389-404.
MamSharifi P, Koorani Z, Dortaj F, Haghmohamadi Sharahi G, Sohi M. Addiction prone prediction modeling based on meta-cognitive beliefs and sensation seeking: the mediating role of big five personality traits. psychol sci. 2020;19(94):1219-30.
Greenslade J, White K. The Prediction of Above-Average Participation in Volunteerism: A Test of the Theory of Planned Behavior and the Volunteers Functions Inventory in Older Australian Adults. J Soc Psychol. 2005; 145:155 - 72.
Wu J, Wing Lo T, Liu ESC. Psychometric properties of the volunteer functions inventory with Chinese students. J Community Psychol. 2009; 37(6):769-80.
Phillips L, Phillips M. Volunteer Motivation andReward Preference: An Empirical Study of Volunteerism in a Large, Not-for-Profit Organization. SAM Advanced Management Journal. 2010;75:12.
Vocino A, Polonsky MJ. Volunteering for Research: A Test of the Psychometric Properties of the Volunteer Functions Inventory with Online Panellists. Int J Publ Opin Res. 2011; 23(4):508-21.
Musick MA, Wilson J. Volunteering and depression: the role of psychological and social resources in different age groups. Soc Sci Med. 2003; 56(2):259-69.
Baruch A, May A, Yu D. The motivations, enablers and barriers for voluntary participation in an online crowdsourcing platform. Comput Hum Behav. 2016;64:923-31.
Omoto AM, Packard CD. The power of connections: Psychological sense of community as a predictor of volunteerism. J Soc Psychol. 2016; 156(3):272-90.
Agran M, Hughes C, Thoma CA, Scott LA. Employment Social Skills: What Skills Are Really Valued? Career Development and Transition forExceptional Individuals. 2014;39(2):111-20.
Khasanzyanova A. How volunteering helps students to develop soft skills. Int Rev Educ. 2017; 63:363-79.
McCann SJH. Higher USA State Resident Neuroticism Is Associated With Lower State Volunteering Rates. Pers Soc Psychol Bull. 2017;43(12):1659-74.
Carr DC, Kail BL, Matz-Costa C, Shavit YZ. Does Becoming A Volunteer Attenuate Loneliness Among Recently Widowed Older Adults? The Journals of Gerontology: Series B. 2018; 73(3): 501-510.
Filges T, Siren A, Fridberg T, Nielsen BCV. Voluntary work for the physical and mental health of older volunteers: A systematic review. Campbell Syst Rev. 2020;16(4):e1124.
Burr JA, Tavares J, Mutchler JE. Volunteering and Hypertension Risk in Later Life. J Aging Health. 2010;23(1):24-51.
Kahana E, Bhatta T, Lovegreen LD, Kahana B, Midlarsky E. Altruism, helping, and volunteering: pathways to well-being in late life. J Aging Health. 2013: 25(1); 159-187.
Loosemore M, Bridgeman J. Corporate volunteering in the construction industry: motivations, costs and benefits. Construct Manag Econ. 2017;35(10):641-53.
Yeung JWK, Zhang Z, Kim TY. Volunteering and health benefitsin general adults: cumulative effects and forms. BMC public health. 2017;18(1):8-.
Borgonovi F. Doing well by doing good. The relationship between formal volunteering and self-reported health and happiness. Soc Sci Med. (1982). 2008;66(11): 2321-2334.
Plagnol AC, Huppert FA. Happy to help? Exploring the factors associated with variations in rates of volunteering across Europe. Soc Indicat Res. 2010;97(2):157-76.
Brown KM, Hoye R, Nicholson M. Self-Esteem, Self-Efficacy, and Social Connectedness as Mediators of the Relationship Between Volunteering and Well-Being. J Soc Serv Res. 2012;38(4):468-83.
Zuckerman M. Psychological factors and addiction: Personality. APA addiction syndrome handbook, Vol 1: Foundations, influences, and expressions of addiction. APA handbooks in psychology®. Washington, DC, US: American Psychological Association; 2012. p. 175-94.
Wu AM, Cheung VI, Ku L, Hung EP. Psychological risk factors of addiction to social networking sites among Chinese smartphone users. J Behav Addict. 2013;2(3):160-6.
- Abstract Viewed: 115 times
- PdF Downloaded: 54 times