پژوهش های روانشناختی در مدیریت

پژوهش های روانشناختی در مدیریت

واکاوی رابطۀ مهارت‌های سرمایۀ شناختی سازمانی و شاخص‌های عملکردی کارکنان؛ یک مطالعۀ اکتشافی

نوع مقاله : مقاله پژوهشی

نویسندگان
1 استادیار، گروه مدیریت بازرگانی، دانشگاه شهید بهشتی، تهران، ایران.
2 دانشجوی دکتری، مدیریت بازرگانی گرایش مدیریت استراتژیک، دانشگاه علامه طباطبائی، تهران، ایران.
چکیده
این مطالعه رابطۀ میان مهارت‌های شناختی مرتبط با مفهوم سرمایۀ شناختی در سازمان و مؤلفه‌های عملکردی میان کارکنان مراکز تماس را بررسی می‌کند. به این منظور، شش دسته از مهارت‌های شناختی شامل تجربۀ عواطف مثبت و منفی، تاب‌آوری شناختی، استرس ادراک‌شده، ضعف در کارکردهای اجرایی، تنظیم‌گری هیجانات و توجه و تمرکز استخراج و رابطۀ آنها با شاخص‌های عملکردی کارکنان مراکز تماس از جمله نرخ خطا، زمان پاسخ‌گویی و کیفیت ارائۀ خدمات بررسی شدند. پژوهش حاضر به لحاظ هدف کاربردی و با رویکردی اکتشافی و از نظر جمع‌آوری اطلاعات، پژوهشی توصیفی-همبستگی است و در زمرۀ پژوهش‌های کمی قرار می‌گیرد. نمونۀ این مطالعه محدود و شامل کارکنان مراکز تماس با دو نقش متفاوت بوده است. در این مطالعه، از ضرایب همبستگی پیرسون برای تحلیل داده‌ها استفاده شده است. نتایج مطالعه نشان داد تاب‌آوری شناختی و تنظیم‌گری هیجانات رابطه‌ای معنادار با مؤلفه‌های عملکردی کارکنان مراکز تماس دارند، در حالی که تجربۀ عواطف مثبت و منفی و استرس ادراک‌شده رابطۀ مستقیم اندکی داشتند. در عین حال، بین کارکنان نقش‌های مختلف، تفاوتی معنادار از نظر رابطۀ بین مهارت‌های شناختی و مؤلفه‌های عملکردی وجود دارد. این مطالعه تلاشی در راستای تعمیق ادبیات پژوهش در این حوزه نسبت به تأثیر ابعاد مهارت‌های شناختی بر عملکرد کارکنان مراکز تماس است و نتایج آن می‌تواند دلالت‌های عملی برای بهبود این مهارت‌ها در راستای تقویت عملکرد این کارکنان در اختیار مدیران قرار دهد.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Analyzing the Relationship Between Cognitive Capital Skills and Performance Metrics of Employees: An Exploratory Study

نویسندگان English

علیرضا ولیان 1
sajad Farsi 2
1 Assistant Professor, Business management, Faculty of business and accounting, Shahid Beheshti University, Tehran, Iran.
2 Ph.D Student in Business Management, Allameh Tabataba'I University, Tehran, Iran.
چکیده English

Purpose: This exploratory study examines the relationship between organizational cognitive capital skills and employee performance indicators in call center settings. Call center work is characterized by high cognitive demands, emotional labor, strict performance standards, and frequent interactions with dissatisfied customers. These conditions can undermine employee well-being and reduce service quality, making it important to identify cognitive and emotional capabilities that may support better performance. Drawing on the literature on cognitive capital, the study focuses on six skill domains: positive and negative affect, cognitive resilience, perceived stress, executive function weakness, emotion regulation, and attention/concentration difficulties. The main purpose was to investigate how these cognitive skills relate to objective performance indicators among call center employees and whether these relationships differ across two distinct job roles: registration operators and support operators. By doing so, the study seeks to extend the theoretical understanding of cognitive capital in organizational contexts and provide practical insights for improving performance in service-intensive occupations.
Design/Methodology/Approach: This study employed an applied, exploratory, descriptive‑correlational, and quantitative design. The statistical population comprised all employees (N=28) of a transportation services call center in Tehran, Iran, who were included via total census sampling. The sample consisted of 15 registration operators (handling customer requests and service orders) and 13 support operators (resolving post‑service issues). Given the distinct task structures and interactional demands of the two roles, performance and cognitive‑performance relationships were analyzed separately. Two data categories were collected. Objective performance data—including break time, call volume, talk time, errors, waiting time, conversion rate, and related metrics—were extracted from organizational records. Self‑reported cognitive‑emotional measures assessed affective experience (PANAS), perceived stress (PSS), cognitive resilience (CD‑RISC), executive dysfunction (BRIEF), emotion regulation strategies (ERQ; reappraisal and suppression), and attention‑related difficulties (BAARS‑IV; inattention, hyperactivity, impulsivity, and cognitive sluggishness). Data were analyzed using Pearson correlation coefficients, with results interpreted separately for the two groups.
Findings: Significant differences emerged between registration and support operators in performance and cognitive profiles. Support operators showed longer breaks, shorter talk time, longer waiting time, and fewer errors, suggesting distinct cognitive-emotional demands. In registration operators, talk time positively predicted service conversion; waiting time was linked to stress, executive dysfunction, and attention problems; break duration correlated with resilience and emotion regulation, while talk time was inversely related to emotion regulation. Affective balance showed no performance link. In support operators, executive dysfunction predicted longer talk/wait time and lower call volume; stress correlated with waiting time and errors; positive affect reduced both. Attention problems were weakly related to performance. Intercorrelations among cognitive domains also varied by role. Positive affect linked to resilience and regulation; stress and dysfunction inversely related to resilience—stronger in support operators. Reappraisal (support) vs. suppression (registration) ties to emotion regulation differed. Attention sluggishness/inattention was more strongly connected to cognitive weaknesses in registration operators.
Discussion and Conclusion: The results suggest that organizational cognitive resources are significantly associated with performance in call center work, though this relationship depends on job role. Registration operators appear to rely more on sustained attention, emotion regulation, and cognitive resilience to manage interactions and convert calls into service orders. Support operators seem more affected by executive functioning, emotional balance, and perceived stress, likely due to their greater exposure to complex interpersonal problem‑solving and customer frustration. This study contributes to the literature by highlighting that cognitive‑emotional skills serve as performance resources in demanding service environments. It also shows that ostensibly operational metrics—such as waiting time, talk time, and break time—may reflect underlying cognitive capacities. A uniform approach to employee development is unlikely to be effective; interventions should be role‑ and profile‑specific. Practically, managers should invest in targeted programs to strengthen resilience, emotion regulation, executive function, and attentional control, which may enhance well‑being, service performance, and customer experience while reducing errors. Future research should examine these relationships in larger, more diverse samples and across industries, ideally using longitudinal or experimental designs to establish causality, and complement self‑reports with behavioral or neurocognitive measures.

کلیدواژه‌ها English

Organizational cognitive capital
Cognitive skills
Call center operators
Cognitive resilience
Executive functions
Emotion regulation.
References
1.       Alyahya, M.A., Mohamed, E., Akamavi, R., Elshaer, I.A., & Azzaz, A.M.S. (2020). Can cognitive capital sustain customer satisfaction? The mediating effects of employee self-efficacy. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 191. https://doi.org/10.3390/joitmc6040191
2.       Ayele, B. (2022). Factors affecting call center agents’ performance: The case of Ethiopian Electric Utility (EEU). St. Mary’s University. http://repository.smuc.edu.et/handle/123456789/6845?mode=full
3.       Barkley, R.A. (2011). Barkley Adult ADHD Rating Scale-IV (BAARS-IV). Guilford Press. https://www.amazon.com/Barkley-Adult-Rating-Scale-IV-BAARS-IV/dp/1609182030
4.       Berardi, A., Panuccio, F., Pilli, L., Tofani, M., Valente, D., & Galeoto, G. (2021). Evaluation instruments for executive functions in children and adolescents: A systematic review. Expert Review of Pharmacoeconomics & Outcomes Research, 21(5), 885–896. https://doi.org/10.1080/14737167.2021.1908889
5.       Breslin, F.C., & Pole, J.D. (2009). Work injury risk among young people with learning disabilities and attention-deficit/hyperactivity disorder in Canada. American Journal of Public Health, 99(8), 1423–1430. https://doi.org/10.2105/AJPH.2008.140855
6.       Cai, H., & Lin, Y. (2011). Modeling of operators' emotion and task performance in a virtual driving environment. International Journal of Human-Computer Studies, 69(9), 571–586. https://doi.org/10.1016/j.ijhcs.2011.05.003
7.       Canits, I., Bernoster, I., Mukerjee, J., Bonnet, J., Rizzo, U., & Rosique-Blasco, M. (2019). Attention-deficit/hyperactivity disorder (ADHD) symptoms and academic entrepreneurial preference: Is there an association? Small Business Economics, 53, 369–380. https://doi.org/10.1007/s11187-018-0057-x
8.       Charoensukmongkol, P., & Puyod, J. V. (2022). Mindfulness and emotional exhaustion in call center agents in the Philippines: Moderating roles of work and personal characteristics. The Journal of General Psychology, 149(1), 72–96. https://doi.org/10.1080/00221309.2020.1800582
9.       Chaudhary, S., Nasir, N., ur Rahman, S., & Sheikh, S.M. (2023). Impact of work load and stress in call center employees: Evidence from call center employees. Pakistan Journal of Humanities and Social Sciences, 11(1), 160–171. https://doi.org/10.52131/pjhss.2023.1101.0338
10.    Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 385–396. https://doi.org/10.2307/2136404
11.    Connor, K.M., & Davidson, J.R.T. (2003). Development of a new resilience scale: The Connor‐Davidson resilience scale (CD‐RISC). Depression and Anxiety, 18(2), 76–82. https://doi.org/10.1002/da.10113
12.    Cristofori, I., Cohen-Zimerman, S., & Grafman, J. (2019). Executive functions. Handbook of Clinical Neurology, 163, 197–219. https://doi.org/10.1016/B978-0-12-804281-6.00011-2
13.    Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64(1), 135–168. https://doi.org/10.1146/annurev-psych-113011-143750
14.    Fantinelli, S., Galanti, T., Guidetti, G., Conserva, F., Giffi, V., Cortini, M., & Di Fiore, T. (2023). Psychological contracts and organizational commitment: The positive impact of relational contracts on call center operators. Administrative Sciences, 13(4), 112. https://doi.org/10.3390/admsci13040112
15.    Gabel Shemueli, R., Sully de Luque, M.F., & Bahamonde, D. (2021). The role of leadership and engagement in call center performance: answering the call in Peru. Leadership & Organization Development Journal, 42(2), 265-288. https://doi.org/10.1108/LODJ-04-2019-0166
16.    Global Call Center Market (2024). Report 338444. Global Strategic Business Report. Available online: https://www.researchandmarkets.com/reports/338444/call_centers_global_strategic_business_report
17.    Gross, J.J., & John, O.P. (2003). Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. Journal of Personality and Social Psychology, 85(2), 348. https://psycnet.apa.org/doi/10.1037/0022-3514.85.2.348
18.    Gu, M., Li Tan, J.H., Amin, M., Mostafiz, M.I., & Yeoh, K.K. (2022). Revisiting the moderating role of culture between job characteristics and job satisfaction: A multilevel analysis of 33 countries. Employee Relations: The International Journal, 44(1), 70–93. https://doi.org/10.1108/ER-03-2020-0099
19.    Guarino, A., Forte, G., Giovannoli, J., & Casagrande, M. (2020). Executive functions in the elderly with mild cognitive impairment: A systematic review on motor and cognitive inhibition, conflict control and cognitive flexibility. Aging & Mental Health, 24(7), 1028–1045. https://doi.org/10.1080/13607863.2019.1584785
20.    Gül, A., Gül, H., Özkal, U.C., Kıncır, Z., Gültekin, G., & Emul, H.M. (2017). The relationship between sluggish cognitive tempo and burnout symptoms in psychiatrists with different therapeutic approaches. Psychiatry Research, 252, 284–288. https://doi.org/10.1016/j.psychres.2017.03.015
21.    Hafiza, N.S., Manzoor, M., Fatima, K., Sheikh, S.M., Rahman, S.U., & Qureshi, G.K. (2022). Motives of customer’s e-loyalty towards e-banking services: A study in Pakistan. Palarch's Journal of Archaeology of Egypt/Egyptology, 19(3), 1599–1620. https://doi.org/10.1080/12460125.2020.1870063
22.    Hidayah Ibrahim, S.N., Suan, C.L., & Karatepe, O.M. (2019). The effects of supervisor support and self-efficacy on call center employees’ work engagement and quitting intentions. International Journal of Manpower, 40(4), 688–703. https://doi.org/10.1108/IJM-12-2017-0320
23.    Hülsheger, U.R., & Schewe, A.F. (2011). On the costs and benefits of emotional labor: A meta-analysis of three decades of research. Journal of Occupational Health Psychology, 16(3), 361. https://doi.org/10.1037/a0022876
24.    Jeon, M.‑K., Yoon, H., & Yang, Y. (2022). Emotional dissonance, job stress, and intrinsic motivation of married women working in call centers: The roles of work overload and work-family conflict. Administrative Sciences, 12(1), 27. https://doi.org/10.3390/admsci12010027
25.    Kaasinen, E., Schmalfuß, F., Özturk, C., Aromaa, S., Boubekeur, M., Heilala, J., ..., & Mach, S. (2020). Empowering and engaging industrial workers with Operator 4.0 solutions. Computers & Industrial Engineering, 139, 105678. https://doi.org/10.1016/j.cie.2019.01.052
26.    Khattak, S.A. (2021). Role of ergonomics in re-designing job design in call centres. International Journal of Occupational Safety and Ergonomics, 27(3), 784–793. https://doi.org/10.1080/10803548.2019.1630111
27.    Koole, G.M., & Li, S. (2023). A practice-oriented overview of call center workforce planning. Stochastic Systems, 13(4), 479–495. https://doi.org/10.1287/stsy.2021.0008
28.    Körner, U., Müller‐Thur, K., Lunau, T., Dragano, N., Angerer, P., & Buchner, A. (2019). Perceived stress in human–machine interaction in modern manufacturing environments—Results of a qualitative interview study. Stress and Health, 35(2), 187–199. https://doi.org/10.1002/smi.2853
29.    Koskina, A., & Keithley, D. (2010). Emotion in a call centre SME: A case study of positive emotion management. European Management Journal, 28(3), 208–219. https://doi.org/10.1016/j.emj.2009.11.003
30.    Kujala, T., & Lappi, O. (2021). Inattention and uncertainty in the predictive brain. Frontiers in Neuroergonomics, 2, 718699. https://doi.org/10.3389/fnrgo.2021.718699
31.    Kumar, N. (2019). Determinants of stress and well-being in call centre employees. Journal of Management, 6(2), 19-24. https://ssrn.com/abstract=3525395
32.    Lemonaki, R., Xanthopoulou, D., Bardos, A.N., Karademas, E.C., & Simos, P.G. (2021). Burnout and job performance: A two-wave study on the mediating role of employee cognitive functioning. European Journal of Work and Organizational Psychology, 30(5), 692–704. https://doi.org/10.1080/1359432X.2021.1892818
33.    Li, J.‑B., Yang, A., Dou, K., & Cheung, R.Y.M. (2020). Self-control moderates the association between perceived severity of coronavirus disease 2019 (COVID-19) and mental health problems among the Chinese public. International Journal of Environmental Research and Public Health, 17(13), 4820. https://doi.org/10.3390/ijerph17134820
34.    Moradi, S., Nima, A.A., Rapp Ricciardi, M., Archer, T., & Garcia, D. (2014). Exercise, character strengths, well-being, and learning climate in the prediction of performance over a 6-month period at a call center. Frontiers in Psychology, 5, 497. https://doi.org/10.3389/fpsyg.2014.00497
35.    Murthy, N.N., Challagalla, G.N., Vincent, L.H., & Shervani, T.A. (2008). The impact of simulation training on call center agent performance: A field-based investigation. Management Science, 54(2), 384–399. https://doi.org/10.1287/mnsc.1070.0818
36.    Nagata, M., Nagata, T., Inoue, A., Mori, K., & Matsuda, S. (2019). Effect modification by attention deficit hyperactivity disorder (ADHD) symptoms on the association of psychosocial work environments with psychological distress and work engagement. Frontiers in Psychiatry, 10, 166. https://doi.org/10.3389/fpsyt.2019.00166
37.    Nye, C.D., Ma, J., & Wee, S. (2022). Cognitive ability and job performance: Meta-analytic evidence for the validity of narrow cognitive abilities. Journal of Business and Psychology, 37(6), 1119–1139. https://doi.org/10.1007/s10869-022-09796-1
38.    Nyongesa, M.K., Ssewanyana, D., Mutua, A.M., Chongwo, E., Scerif, G., Newton, C.R., & Abubakar, A. (2019). Assessing executive function in adolescence: A scoping review of existing measures and their psychometric robustness. Frontiers in Psychology, 10, 423374. https://doi.org/10.3389/fpsyg.2019.00311
39.    Peruzzini, M., Grandi, F., & Pellicciari, M. (2020). Exploring the potential of Operator 4.0 interface and monitoring. Computers & Industrial Engineering, 139, 105600. https://doi.org/10.1016/j.cie.2018.12.047
40.    Poncet, F., Swaine, B., Dutil, E., Chevignard, M., & Pradat-Diehl, P. (2017). How do assessments of activities of daily living address executive functions: A scoping review. Neuropsychological Rehabilitation, 27(5), 618–666. https://doi.org/10.1080/09602011.2016.1268171
41.    Quintano, R.J. (2024). Knowledge management and organizational performance of call center industry in Davao City. Ignatian International Journal for Multidisciplinary Research, 2(3), 639–655. https://doi.org/10.5281/zenodo.10851876
42.    Riepenhausen, A., Wackerhagen, C., Reppmann, Z.C., Deter, H.‑C., Kalisch, R., Veer, I.M., & Walter, H. (2022). Positive cognitive reappraisal in stress resilience, mental health, and well-being: A comprehensive systematic review. Emotion Review, 14(4), 310–331. https://psycnet.apa.org/doi/10.1177/17540739221114642
43.    Rindermann, H., Kodila-Tedika, O., & Christainsen, G. (2015). Cognitive capital, good governance, and the wealth of nations. Intelligence, 51, 98–108. https://doi.org/10.1016/j.intell.2015.06.002
44.    Roth, R.M., Isquith, P.K., & Gioia, G.A. (2005). Behavior Rating Inventory of Executive Function®--Adult Version. Archives of Clinical Neuropsychology. https://psycnet.apa.org/doi/10.1037/t86244-000
45.    Saha, R. (2023). Mapping competence requirements for future shore control center operators. Maritime Policy & Management, 50(4), 415–427. https://doi.org/10.1080/03088839.2021.1930224
46.    Spencer, J.P. (2020). The development of working memory. Current Directions in Psychological Science, 29(6), 545–553. https://doi.org/10.1177/0963721420959835
47.    Sprang, G., Ford, J., Kerig, P., & Bride, B. (2019). Defining secondary traumatic stress and developing targeted assessments and interventions: Lessons learned from research and leading experts. Traumatology, 25(2), 72. http://dx.doi.org/10.1037/trm0000180
48.    Tessitore, F., Caffieri, A., Parola, A., Cozzolino, M., & Margherita, G. (2023). The role of emotion regulation as a potential mediator between secondary traumatic stress, burnout, and compassion satisfaction in professionals working in the forced migration field. International Journal of Environmental Research and Public Health, 20(3), 2266. https://doi.org/10.3390/ijerph20032266
49.    Watson, D., Clark, L.A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063. https://doi.org/10.1037//0022-3514.54.6.1063
50.    Wu, X., Guo, T., Tang, T., Shi, B., & Luo, J. (2017). Role of creativity in the effectiveness of cognitive reappraisal. Frontiers in Psychology, 8, 1598. https://doi.org/10.3389/fpsyg.2017.01598
51.    Yin, H., Huang, S., & Lv, L. (2018). A multilevel analysis of job characteristics, emotion regulation, and teacher well-being: A job demands-resources model. Frontiers in Psychology, 9, 2395. https://doi.org/10.3389/fpsyg.2018.02395
52.    Zapf, D., Isic, A., Bechtoldt, M., & Blau, P. (2003). What is typical for call centre jobs? Job characteristics, and service interactions in different call centres. European Journal of Work and Organizational Psychology, 12(4), 311–340. https://doi.org/10.1080/13594320344000183
53.    Zito, M., Emanuel, F., Molino, M., Cortese, C.G., Ghislieri, C., & Colombo, L. (2018). Turnover intentions in a call center: The role of emotional dissonance, job resources, and job satisfaction. PloS One, 13(2), e0192126. https://doi.org/10.1371/journal.pone.0192126