نوع مقاله : مقاله پژوهشی
نویسندگان
1 دکتری مدیریت آموزشی، دانشکده علوم تربیتی و روانشناسی، دانشگاه محقق اردبیلی، اردبیل، ایران
2 دکتری برنامه ریزی درسی، دانشکده علوم تربیتی و روانشناسی، دانشگاه آزاد واحد علوم تحقیقات، تهران، ایران
3 استاد گروه علوم تربیتی، دانشکده علوم تربیتی و روانشناسی، دانشگاه محقق اردبیلی، اردبیل، ایران
4 استادیار گروه مدیریت آموزش عالی، مؤسسه آموزش عالی غیردولتی قدیر لنگرود، گیالن، ایران
5 دانشیار گروه علوم تربیتی، دانشکده علوم تربیتی و روانشناسی، دانشگاه محقق اردبیلی، اردبیل، ایران
چکیده
زمینه و هدف: ترومای سازمانی یکی از تئوریهای جدید در عرصه رفتار و مدیریت سازمانی است. پژوهش حاضر با هدف اعتباریابی عوامل آگاهی سازمانی بر مدیریت ترومای سازمانی نو معلمان با رویکرد شبکه عصبی مصنوعی (ANN) انجام گرفت.
مواد و روشها: جامعه آماری این مطالعه شامل نو معلمان استان گیلان، البرز و تهران با جمعیت 15000 نفر در سال 1401 بود. روش نمونهگیری از نوع خوشهای چندمرحله‌ای بود. حجم نمونه 375 نفر در نظر گرفته و برای جمعآوری دادهها از پرسشنامه آگاهی سازمانی و پرسشنامه مدیریت ترومای سازمانی استفاده شد. دادهها با شبکه عصبی مصنوعی پرسپترون چندلایه در نرم‌افزار Spss.25 تحلیل گردید.
یافتهها: نتایج نشان داد اعتباریابی عوامل آگاهی سازمانی بر مدیریت ترومای سازمانی دارای یک‌لایه ورودی با 6 گره و یک‌لایه پنهان با 3 گره است و شبکه عصبی مصنوعی به‌خوبی قادر است پرشها و روند مدیریت ترومای سازمانی را از روی آگاهی سازمانی پیشبینی کند. یافتهها نشان داد که انعطافپذیری (100/0) بیشترین تأثیر و یادگیری مشروط و توسعه شناخت (32/0) کمترین تأثیر ضریب اهمیت را در برآورد مدیریت ترومای سازمانی در برمی‌گیرد.
نتیجه‌گیری: با توجه به بررسیهای صورت گرفته، قرار گرفتن افراد در معرض حوادث آسیبزا خصوصاً در سالهای اول شروع کار خود با چالشهای قابل‌توجه و منحصربه‌فردی در محیط کار روبه‌رو میشوند که آنها را در معرض خطر استرس مزمن، رکود شغلی و فرسایش قرار میدهد، زیرا آن‌طور که باید از طریق سازمان و مدیریت موردحمایت و پشتیبانی قرار نمیگیرند.
تازه های تحقیق
https://scholar.google.com/citations?user=5x8WK_cAAAAJ&hl=fa
https://pubmed.ncbi.nlm.nih.gov/?term=soudabe+ebrahimi
https://scholar.google.com/citations?user=oS9HyFYAAAAJ&hl=fa
https://pubmed.ncbi.nlm.nih.gov/?term=kaivan+assa
https://scholar.google.com/citations?user=2uRtDVUAAAAJ&hl=en4
https://pubmed.ncbi.nlm.nih.gov/?term=Adel+zahed+babolan
https://scholar.google.com/citations?user=UQOPGCYAAAAJ&hl=fa
https://pubmed.ncbi.nlm.nih.gov/?term=hossein+kariminejad
https://scholar.google.com/citations?user=kZw9y9AAAAAJ&hl=en
https://pubmed.ncbi.nlm.nih.gov/?term=mahdi+moeni+kia
https://scholar.google.com/citations?user=RfeIxpUAAAAJ&hl=en
https://pubmed.ncbi.nlm.nih.gov/31230438/
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
Validation of Organizational Awareness Factors on the Level of Organizational Trauma Management of New Teachers Using an Artificial Neural Network Approach
نویسندگان [English]
- Soudabe Ebrahimi 1
- keivan Assa 2
- Adel Zahed Babolan 3
- Hossein Kariminejad 4
- Mehdi Moinikia 5
- Hossein Taghavi 5
1 PhD in Educational Management, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran
2 PhD in Curriculum Planning, Faculty of Educational Sciences and Psychology, Azad University, Science and Research Branch, Tehran, Iran
3 Professor of Educational Sciences Department, Faculty of Educational Sciences and Psychology, Mohaghegh Ardabili University, Ardabil, Iran
4 Assistant Professor, Department of Higher Education Management, Non-Governmental Institute of Higher Education, Qadir Langrood, Gilan, Iran
5 Associate Professor, Department of Educational Sciences, Faculty of Educational Sciences and Psychology, Mohaghegh Ardabili University, Ardabil, Iran
چکیده [English]
Introduction: Organizational trauma is a contemporary theory in organizational behavior and management. This study aims to employ an Artificial Neural Network (ANN) approach to validate how organizational awareness factors influence the level of Organizational Trauma Management (OTM) in new teachers.
Materials and Methods: The statistical population for this study comprised nine teachers from Gilan, Alborz, and Tehran provinces, totaling approximately 15,000 individuals in 1401. Participants (n = 375) were selected using a multi-stage cluster sampling method. Data were collected using the Organizational Awareness Questionnaire and the Organizational Trauma Management Questionnaire. The data were analyzed using a multilayer perceptron artificial neural network in SPSS version 25.
Results: Results indicated that the artificial neural network model, structured with an input layer (six nodes) and a hidden layer (three nodes), effectively predicted organizational trauma management processes based on organizational awareness factors. Analysis of normalized importance weights revealed that flexibility (1.00) was the most influential factor, while conditional learning and cognitive development (0.32) exerted the least relative influence.
Conclusion: Individuals exposed to traumatic events, particularly in the early years of their careers, encounter significant challenges in the workplace, which can lead to chronic stress, job stagnation, and burnout due to insufficient organizational and managerial support.
کلیدواژه‌ها [English]
- organizational awareness
- artificial neural network
- organizational trauma management
- Panda, S, Kumar, R. (2018). Modelling the Relationship Between information Technology Infrastructure and Organizational Agility: A Study in the context of Indio, Global Business Review, 19(2). 424-438.DOI: 10.1177/0972150917713545
- Orenga, S, Chalmeta, R. (2019). Methodology for the Implementation of Knowledge Management systems. Business & Information systems Engineering, 61(2). 195-213. DOI:1002/asi.20785
- Kim, H, Gibbs, J.L, Scott, C.R. (2019). Unpacking Organizational awareness: scale development and empirical examinations in the context of distributed knowledge sharing. Journal of Applied communication Research, 47(1). 47-68. org/10.1080/00909882.2018.1544719
- Esmaeilzadeh, P. (2024). Chllenges and strategies for wide-scale artificial intelligence (AL) deployment in healthcare practices: A perspective for healthcare organizations. Artifcial Intelligence in Medicine, 151. org/10.1016/j.artmed.2024.102861
- Kuknor, S, Kumar, V.R. (2023). Impact of training and development interventions for diversity & inclusion proposing an Organizational schema. Development and Learning Organizations: An international Journal, 38(1). 16-19. DOI:1108/DLO-11-2022-0233
- Spitzer, W, Silverman, E, Allen, K. (2015). From Organizational Awareness to Organizational Competency in Healty cara Social work: the Importance of Formulating a "Profession- in Environment" Fit. Social work in Health care, 54(3). 193-211. DOI:1080/00981389.2014.990131
- Do, H, Budhwar, P, Shipton, H, Nguyen, H. D, Nguyen, B. (2022). Building organizational resilience, innovation through resource- based management initiatives, Organizational Learning and environmental dynamism. Journal of Business, 141. 808-821. org/10.1016/j.jbusres.2021.11.090
- Hoseinpoor Z, Khosrojavid M, Kafi M. The Effect of Communication Training Skills on Self-Efficacy and Social Anxiety of Students. Journal of School Psychology. 2022 Jun 22;11(2):39-50. (parsian) 22098/jsp.2022.1701
- Ross, S, Sharma-patel, K, Chaplin, W. (2021). Complex trauma and trauma- focused cognitive-behavioral therapy: How do trauma chronicity and PTSD presentation affect treatment outcome. Child abuse & neglect, 5(111), Article 104734. DOI: 10.1016/j.chiabu.2020.104734
- Hales, T, Nochajski, T. (2019). A Structural regression analysis of trauma- informed climate factors, organizational commitment, and burnout among behavioral healthcare providers in a large public hospital. Journal Community Psychology, 48(3), 777-792. DOI: 10.1002/jcop.22292.
- Ebrahimi, Sudabah; Zahid Bablan, Adel; Moinikia, Mehdi; Tagwi, Hossein (2023). Design and validation of organizational trauma management in new teachers. Doctoral dissertation of Faculty of Educational Sciences and Psychology of Mohaghegh Ardabili University. Ardabil. (parsian)
- Pehlvan Sadegh, A. (2016), the structural model of the relationship between the professional learning community and organizational sustainability with the mediating role of organizational awareness: a mixed research in the higher education system; Management on organization training, sixth year, number 1, spring and summer 96, pp. 103-144. (parsian)
- Avery J, Morris H, Galvin E, Misso M, Savaglio M, Skouteris H. (2020). Systematic Review of School-wide Trauma- informed Approaches. Journal of child & Adolecent Trauma, 14(3):381-397. DOi: 10.1007/s40653-020-00321-1.
- Herman, A, Whitaker, R. (2020). Reconciling mixed messages from mixed methods: A randomized trial of a professional development course to increase trauma-informed care. Child Abuse & Neglect, 101, 104349. DOI: 10.1016/j.chiabu.2019.104349
- Zirwatul, R, lbrahim, A.R, Zaleha, W, Zalam, M, Foster, B, Afrizal, T, Deni Johansyah, M, Saputra, J, Abu Baker, A, Dagang M.M, Nazilah, S. (2021). Psychosocial work Enviroment and Teachers psychological well-Bening:The Moderating Role job control and social support. International Journal of Environmental Research and public health, 18(14), 2-19. DOI:3390/ijerph18147308
- Korte, M.A. (2020). Are teachers really as stressed the media depict: A quantitative study about effects of organizational communication on teacher stress and teacher engagement applying the JD-R model. Communica on studies Msc(60713). https://purl.utwente.nl/essays/80512
- Jeon, L, Buettner, C, Grant, A. (2017). Early childhooh teachers psychological well-Being: Exploring potential predictors of depression, stress, and emotional exhaustion. Publishied online. 6, 53-69. DOI:1080/10409289.2017.1341806
- Reddig N C. (2022). Supporting Teacher Retention Through a Trauma- informed Lens. A Thesis Submitted to the Honors Council for Honors in Education. Bucknell University Bucknell University Bucknell Digital Commons Bucknel. https://digitalcommons.bucknell.edu/honors_theses/606
- Besser, A, Lotem, S, Zeigler,V. (2020). Psychologival stress and vocal symptoms Among university professors in lsrael: implications of the shift to online synchronous teaching During the covid-19 pandemic. J. Voice official J. Voive Foundot. S0892-1997, 30190-30199. Doi: 10.1016/Jvoice. 2020. 05.028. DOI: 10.1016/j.jvoice.2020.05.028
)