Hasil untuk "Industrial psychology"

Giulia Magni, Silvia Francesca Maria Pizzoli, Elisa Scerrati et al.

Metaphors are a fundamental tool for shaping human understanding and interaction with the world. Indeed, they play a crucial role in cognitive and emotional processes, enabling individuals to comprehend one domain of experience in terms of another. Grounded in the Conceptual Metaphor Theory, this scoping review emphasizes the significant role of the body in metaphorical cognition and examines how technology may enhance cognitive and emotional abilities through metaphorical embodiment and enactment. Additionally, the review proposes the theoretical frameworks of active inference and Bayesian brain to provide a deeper understanding of how embodied metaphors shape cognitive and emotional experiences by integrating past experiences with current sensory inputs to make predictions about the future. Searches were conducted in the PubMed, PsycINFO, Scopus, and Web of Science databases to extract relevant articles. Out of the 2648 articles retrieved, a total of 19 studies met the inclusion criteria, comprising 15 studies concerning the effect of metaphors on different cognitive abilities (i.e., learning, creative cognition, and perception) and 4 studies regarding emotions (i.e., emotional regulation, arousal, and psychophysiological correlates). Data from these studies were systematically extracted, tabulated, and subjected to a narrative synthesis. Overall, findings suggest that the embodiment and enactment of metaphors, facilitated by immersive technologies, significantly influence cognitive processes and emotional experiences. This enhancement is observed across diverse demographic groups, indicating broad applicability. Despite promising implications, the review identifies a need for further research, especially among clinical populations and in exploring metaphors not traditionally framed within the Conceptual Metaphor Theory.

Andy Cǎtrunǎ, Adrian Cosma, Emilian Rǎdoi

Gait encodes rich biometric and behavioural information, yet leveraging the manner of walking to infer psychological traits remains a challenging and underexplored problem. We introduce a hierarchical Multi-Stage Mixture of Movement Experts (MoME) architecture for multi-task prediction of psychological attributes from gait sequences represented as 2D poses. MoME processes the walking cycle in four stages of movement complexity, employing lightweight expert models to extract spatio-temporal features and task-specific gating modules to adaptively weight experts across traits and stages. Evaluated on the PsyMo benchmark covering 17 psychological traits, our method outperforms state-of-the-art gait analysis models, achieving a 37.47% weighted F1 score at the run level and 44.6% at the subject level. Our experiments show that integrating auxiliary tasks such as identity recognition, gender prediction, and BMI estimation further improves psychological trait estimation. Our findings demonstrate the viability of multi-task gait-based learning for psychological trait estimation and provide a foundation for future research on movement-informed psychological inference.

Raiyaan Abdullah, Yogesh Singh Rawat, Shruti Vyas

Recent advances in vision-language models (VLMs) have enabled impressive generalization across diverse video understanding tasks under zero-shot settings. However, their capabilities in high-stakes industrial domains-where recognizing both routine operations and safety-critical anomalies is essential-remain largely underexplored. To address this gap, we introduce iSafetyBench, a new video-language benchmark specifically designed to evaluate model performance in industrial environments across both normal and hazardous scenarios. iSafetyBench comprises 1,100 video clips sourced from real-world industrial settings, annotated with open-vocabulary, multi-label action tags spanning 98 routine and 67 hazardous action categories. Each clip is paired with multiple-choice questions for both single-label and multi-label evaluation, enabling fine-grained assessment of VLMs in both standard and safety-critical contexts. We evaluate eight state-of-the-art video-language models under zero-shot conditions. Despite their strong performance on existing video benchmarks, these models struggle with iSafetyBench-particularly in recognizing hazardous activities and in multi-label scenarios. Our results reveal significant performance gaps, underscoring the need for more robust, safety-aware multimodal models for industrial applications. iSafetyBench provides a first-of-its-kind testbed to drive progress in this direction. The dataset is available at: https://github.com/iSafetyBench/data.

Ancheng Xu, Di Yang, Renhao Li et al.

Traditional in-person psychological counseling remains primarily niche, often chosen by individuals with psychological issues, while online automated counseling offers a potential solution for those hesitant to seek help due to feelings of shame. Cognitive Behavioral Therapy (CBT) is an essential and widely used approach in psychological counseling. The advent of large language models (LLMs) and agent technology enables automatic CBT diagnosis and treatment. However, current LLM-based CBT systems use agents with a fixed structure, limiting their self-optimization capabilities, or providing hollow, unhelpful suggestions due to redundant response patterns. In this work, we utilize Quora-like and YiXinLi single-round consultation models to build a general agent framework that generates high-quality responses for single-turn psychological consultation scenarios. We use a bilingual dataset to evaluate the quality of single-response consultations generated by each framework. Then, we incorporate dynamic routing and supervisory mechanisms inspired by real psychological counseling to construct a CBT-oriented autonomous multi-agent framework, demonstrating its general applicability. Experimental results indicate that AutoCBT can provide higher-quality automated psychological counseling services.

Ali Mohammad-Djafari

Digital Twins (DTs) are virtual representations of physical systems synchronized in real time through Internet of Things (IoT) sensors and computational models. In industrial applications, DTs enable predictive maintenance, fault diagnosis, and process optimization. This paper explores the mathematical foundations of DTs, hybrid modeling techniques, including Physics Informed Neural Networks (PINNs), and their implementation in industrial scenarios. We present key applications, computational tools, and future research directions.

Anwar Ahmed Khan, Shama Siddiqui, Indrakshi Dey

Managing delay is one of the core requirements of industrial automation applications due to the high risk associated for equipment and human lives. Using efficient Media Access Control (MAC) schemes guarantees the timely transmission of critical data, particularly in the industrial environments where heterogeneous data is inherently expected. This paper compares the performance of Fragmentation based MAC (FROG-MAC) against Fuzzy Priority Scheduling based MAC (FPS-MAC), both of which have been designed to optimize the performance of heterogenous wireless networks. Contiki has been used as a simulation platform and a single hop star topology has been assumed to resemble the industrial environment. It has been shown that FROG-MAC has the potential to outperform FPS-MAC in terms of energy efficiency and delay both, due to its inherent feature of interrupting ongoing lower priority transmission on the channel.

Lirui Guo, Michael G. Burke, Wynita M. Griggs

There has been extensive prior work exploring how psychological factors such as anthropomorphism affect the adoption of Shared Autonomous Vehicles (SAVs). However, limited research has been conducted on how prompt strategies in large language models (LLM)-powered conversational SAV agents affect users' perceptions, experiences, and intentions to adopt such technology. In this work, we investigate how conversational SAV agents powered by LLMs drive these psychological factors, such as psychological ownership, the sense of possession a user may come to feel towards an entity or object they may not legally own. We designed four SAV agents with varying levels of anthropomorphic characteristics and psychological ownership triggers. Quantitative measures of psychological ownership, anthropomorphism, quality of service, disclosure tendency, sentiment of SAV responses, and overall acceptance were collected after participants interacted with each SAV. Qualitative feedback was also gathered regarding the experience of psychological ownership during the interactions. The results indicate that an SAV designed to be more anthropomorphic and to induce psychological ownership improved users' perceptions of the SAV's human-like qualities, and its responses were perceived as more positive but also more subjective compared to the control conditions. Qualitative findings support established routes to psychological ownership in the SAV context and suggest that the conversational agent's perceived performance may also influence psychological ownership. Both quantitative and qualitative outcomes highlight the importance of personalization in designing effective SAV interactions. These findings provide practical guidance for designing conversational SAV agents that enhance user experience and adoption.

Hassan Jorfi, Saeid Qaed Amini Harouni, Nasim Khajeh Pour

The aim of the present study was to investigate the effect of parent-child conflict on symptoms of depression, internalizing problems, and aggression with regard to the mediator role of emotional security. The research method is descriptive of structural equations through path analysis. The statistical population of the research included all first and second grade students of Ahvaz city, of which 240 students were selected as a sample through multi-stage cluster sampling. The research tools included parent-child conflict questionnaire, emotional security scale, children's depression questionnaire, internalizing problems questionnaire and aggression questionnaire. The research data was checked to evaluate the conceptual model by the method of structural equations and the fit of the model was confirmed. The results of path analysis indicated the direct effect of parent-child conflict on emotional security, depression symptoms, internalizing problems, and aggression, and the direct effect of emotional security on depression symptoms, internalizing problems, and aggression. Also, the results showed that parent-child conflict had an indirect effect on symptoms of depression, internalizing problems, and aggression through emotional security. It was also suggested that parenting training courses be held by relevant authorities in order to create emotional security in the family.

Farajallah Rahimi, Maral Ahmadi Arpanahi

Today, female managers in organizations face numerous challenges from gender discrimination to the glass ceiling. To face such challenges, it is essential to develop resilience capacity for female managers and resilience capacity is increasingly considered as a distinct advantage for female managers with the aim of turning adversity into evolution and progress in the workplace. Therefore, the current research was conducted with the aim of helping to develop the resilience capacity of female managers to break the glass ceiling. This research is applied in terms of purpose and descriptive-correlation in terms of data collection. The statistical population of the research consists of female managers of government offices in Khuzestan province, according to the latest statistics of the Management and Planning Organization of Khuzestan province, the total number of these managers is 205, based on Cochran's formula, the number of 128 people was obtained as a sample, and the questionnaire was conducted by a simple random method in It was distributed among the sample. Due to the possibility of returning incomplete questionnaires, 150 questionnaires were distributed, of which 130 questionnaires were returned. The findings of the research showed that the variables of interaction with the work environment, job adaptability and human resources management measures as independent variables with path coefficients of 0.12, 0.53 and 0.30 and significant numbers of 2.01, 8.40 and 3/15 have a positive and significant effect on the resilience of female managers. Among the three mentioned variables, the variable of job adaptability showed the greatest effect on the resilience of female managers. Also, the findings of the research showed that the resilience variable of female managers with a path coefficient of 0.58 and a significant number of 12.46 has a positive and significant effect on the ability to break the glass ceiling, and this effect is relatively strong.This research has helped to identify and understand the antecedents affecting the development of resilience capacity of female managers and shows how resilience can help to break the glass ceiling, as a challenge faced by women in the workplace. ‌Keywords Glass Ceiling, Human Resource Management, Interaction with the Work Environment, Job Compatibility, Resilience of Female Managers IntroductionThe history of the world has witnessed the enormous and undeniable role of women in various events; But in the past centuries, the role of women as half of the world's active population, especially in developing countries, has been neglected, which shows the existence of gender discrimination and inequality in various political, economic and social fields (Carmeli and Markman, 2011). In order to achieve balance, equality and eliminate discrimination, and as a result, better development of society, it is necessary that women can participate in the decision-making process at different levels of society, especially management levels. Today, female managers in organizations face numerous challenges from gender discrimination to the glass ceiling. To face such challenges, it is essential to develop resilience capacity for female managers and resilience capacity is increasingly considered as a distinct advantage for female managers with the aim of turning adversity into evolution and progress in the workplace. Therefore, the current research was conducted with the aim of helping to develop the resilience capacity of female managers to break the glass ceiling.Rindova et al. (2009) believe that interaction with the work environment can bring benefits such as reducing stress, increasing communication with colleagues, and being equipped with resilience capacity and ultimately better performance.Job adaptability means that a person manipulates his attitudes, competencies and behaviors in the work environment to optimally align himself with suitable work environments (Jiang, 2012). In other words, a person has job adaptability who is able to handle job duties and assignments well and is compatible with them (Ramos and Lopez, 2018). Career adaptability is defined as the ability to adjust oneself to fit new and changed conditions in one's career through planning, exploring and deciding one's future (Brown, 2002). Career counseling, teacher-apprentice relationship and flexibility and adaptation to changes over time as components of career adaptation can be useful in developing and strengthening resilience in women.Hanga et al. (2016) believe that human resource management practices increase the ability of employees to deal with adversity. Ayed (2019) showed in research that human resources management measures have a positive and significant effect on the resilience of employees. The results of the research of Khan et al. (2017) showed that the four measures of human resource management, including job design, knowledge sharing, job rotation, and opportunities for employee career development, provide the basis for strengthening the resilience of employees. Cooper et al. (2015) found that resilience training as one of the human resource management practices can improve personal resilience and is a useful tool for developing mental health and subjective well-being in employees (Arnets et al., 2009; Glanaki et al., 2009; Pip et al., 2012). The persistence of the gender gap in management is considered an important issue at the global level. Although women are increasingly praised for having excellent management skills and effective management styles (Eagly, 2007), the lack of women in leadership positions is attributed to traditional attitudes, the glass ceiling, and the old boys' network (Stevens, 2010). Ragins et al. (1998) believe that the glass ceiling represents prejudices and attitudinal and organizational biases that prevent women from occupying senior executive positions. Morrison et al. (2020) believe that the women's glass ceiling consists of artificial barriers based on attitudinal or organizational biases that cause women and minorities to fail to reach higher levels of hierarchies, while this concept acknowledges that gender superiority at the top of the organizational hierarchy is much stronger than at the lower levels. MethodologyThis research is applied in terms of purpose and based on the method of data collection in the category of descriptive-correlational research. In this research, library method was used to collect information related to theoretical literature and research background, and questionnaire was used to collect data related to research variables. The statistical population of the research consists of female managers of government offices in Khuzestan province, according to the latest statistics of the Management and Planning Organization of Khuzestan province, the total number of these managers is 205, based on Cochran's formula, the number of 128 people was obtained as a sample, and the questionnaire was randomly selected among the sample was distributed. Due to the possibility of returning incomplete questionnaires, 150 questionnaires were distributed, of which 130 questionnaires were returned. The validity of the measuring instrument of this research was investigated in three ways: face validity, convergent validity and divergent validity. Face validity refers to whether items that are ostensibly designed to measure a latent variable actually measure that variable. Experts' opinions were used to measure face validity in this research. Convergent validity means that the items designed to measure a hidden variable have a high correlation with each other. Divergent validity means that the items of one latent variable are not highly correlated with the items of other latent variables and are different from each other. To calculate convergent and divergent validity, we must calculate the values ​​of average variance extracted (AVE) and average squared common variance (ASV).Therefore, for convergent validity, the AVE value of the variables should be greater than 0.5, and for divergent validity, the AVE value of the variables should be greater than their ASV (Rahimi, 2017), which according to Table 1, the AVE value of each of the variables is greater than 0.5 and the AVE value is greater than It is from ASV that it can be said that measurement tools have construct validity. The reliability of the measurement tool in this research was also examined through Cronbach's alpha and composite reliability. FindingsThe findings of the research showed that the variables of interaction with the work environment, job adaptability and human resource management measures as antecedent variables have a positive and significant effect on the resilience of female managers. Among the three mentioned variables, the variable of job adaptability showed the greatest effect on the resilience of female managers. Also, the findings of the research showed that the resilience of female managers has a positive and significant effect on the ability to break the glass ceiling, and this effect is relatively strong. ConclusionsThis research has helped to identify and understand the antecedents affecting the development of resilience capacity of female managers and shows how resilience can help to break the glass ceiling, as a challenge faced by women in the workplace. According to the results, the following suggestions can be useful for developing women's resilience and strengthening their ability to break the glass ceiling in the workplaceSuggestions at the individual level: improving women's individual knowledge on the subject of management in educational systems, demanding women in society within the framework of the law and developing a sense of demand, cultivating individual independence, improving constructive communication in the organization, strengthening self-confidence and self-confidence.Suggestions at the organizational level: providing career counseling programs to women, promoting coaching programs in the workplace, supporting the organization in giving women equal opportunities with men, giving women sufficient financial and material resources, aligning organizational policies with women's development structures, establishing Organizational justice, transparency in organizational rules, and compilation of desirable indicators for qualifying management positions.Suggestions at the macro level: general culture building and creating a positive attitude towards the ability of human beings away from discrimination, policy making in the field of women's advancement by formulating programs and monitoring the implementation of these programs, serious attention in the field of justice in society, public effort and participation Social in order to increase public awareness of women's entry into various fields, especially the country's management field, creating equal opportunities for education, opportunities to improve and develop skills, strengthening women's organizations in society.‌References Al-Ayed, S. I. (2019). The impact of strategic human resource management on organizational resilience: An empirical study on hospitals. Verslas: Teorija ir Praktika, 20(1), 179-186.Aliji Okuwa, J., Nwuche, C. A. & Anyanwu, A. C. S. (2016). Human capital development and organizational resilience in selected manufacturing firms in Rivers State. International Journal of Novel Research in Humanity and Social Sciences, 3(2), 43-50.Allen, I. E., Elam, A., Langowitz, N. & Dean, M. (2008). Global Entrepreneurship Monitor 2007 Report on Women and Entrepreneurship. The Centre for Women’s Leadership, Babson.Arnetz, B. B., Nevedal, D. C., Lumley, M. A., Backman, L. & Lublin, A. (2009). Trauma resilience training for police: Psychophysiological and performance effects. Journal of Police and Criminal Psychology, 24(1), 1-9.Arora, R. & Rangnekar, S. (2014). Workplace mentoring and career resilience: An empirical test. The Psychologist Manager Journal, 17(3), 205-220.Bardoel, E. A., Pettit, T. M., De Cieri, H. & McMillan, L. (2014). Employee resilience: An emerging challenge for HRM. Asia Pacific Journal of Human Resources, 52(3), 279-297.Benería, L., Berik, G. and Floro, M. (2015), Gender, Development and Globalization: Economics as If All People Mattered, Routledge.Bimrose, J. & Hearne, L. (2012). Resilience and career adaptability: Qualitative studies of adult career counselling. Journal of Vocational Behaviour, 81(3), 338-344.Brodsky, A. E., Welsh, E., Carrillo, A., Talwar, G., Scheibler, J. & Butler, T. (2011). Between synergy and conflict: Balancing the processes of organizational and individual resilience in an afghan women’s community. American Journal of Community Psychology, 47(3/4), 217-235.Brown, D. (2002), Career Choice and Development. 4th ed, Jossey-Bass, San Francisco, CA.Bustinza, O. F., Vendrell-Herrero, F., Perez-Arostegui, M. & Parry, G. (2016). Technological capabilities, resilience capabilities and organizational effectiveness. The International Journal of Human Resource Management, 30(8), 1-23.Carmeli, A., Friedman, Y. & Tishler, A. (2012). Cultivating a resilient top management team: The importance of relational. Safety Science, 51(1), 148-159.Carmeli, A. & Markman, D. G. (2011). Capture, governance, and resilience: Strategy implications from the history of rome. Strategic Management Journal, 32(3), 322-341.Carmeli, A. & Schaubroeck, J. (2008). Organisational crisis-preparedness: The importance of learning from failures. Long Range Planning, 41(2), 177-196.Cook, R. I., Render, M. & Woods, D. D. (2000). Gaps in the continuity of care and progress on patient safety. BMJ, 320(7237), 791-794.Cooper, C. L., Flint-Taylor, J. & Pearn, M. (2013). Building Resilience for Success: A Resource for Managers and Organizations. Palgrave Macmillan, Basingstoke.Cooper, C. L., Liu, Y. & Tarba, S. Y. (2014). Resilience, HRM practices and impact on organizational performance and employee well-being. The International Journal of Human Resource Management, 25(17), 2466-2471.Coutu, D. L. (2002). How resilience works. Harvard Business Review, 80(5), 46-55.Demerouti, E., Bakker, A. B., Sonnentag, S. & Fullagar, C. J. (2012). Work-related flow and energy at work and at home: A study on the role of daily recovery. Journal of Organizational Behavior, 33(2), 276-295.Eagly, H. A. (2007). Female leadership advantage and disadvantage: Resolving the contradictions. Psychology of Women Quarterly, 31(1), 1-12.Egeland, B., Carlson, E. & Sroufe, L. A. (1993). Resilience as process. Development and Psychopathology, 5(4), 517-528.Galanaki, E., Papalexandris, N. & Halikias, J. (2009). Revisiting leadership styles and attitudes towards women as managers in Greece: 15 years later. Gender in Management: An International Journal, 24(7), 484-504.Ginevra, M. C., Di Maggio, I., Santilli, S., Sgaramella, T. M., Nota, L. & Soresi, S. (2017). Career adaptability, resilience, and life satisfaction: A mediational analysis in a sample of parents of children with mild intellectual disability. Journal of Intellectual & Developmental Disability, 43(4), 1-10.Giordano, B. (1997). Resilience: A survival tool for the nineties. Association of Perioperative Registered Nurses Journal, 65(6), 1032-1036.Grunberg, L., Moore, S., Greenberg, E. S. & Sikora, P. (2008). The changing workplace and its effects: A longitudinal examination of employee responses at a large company. Journal of Applied Behavioural Science, 44(2), 215-236.Hater, J. J. & Bass, B. M. (1988). Superiors’ evaluations and subordinates’ perceptions of transformational and transactional leadership. Journal of Applied Psychology, 73(4), 695-702.Jackson, D., Firtko, A. & Edenborough, M. (2007). Personal resilience as a strategy for surviving and thriving in the face of workplace adversity: a literature review. Journal of Advanced Nursing, 60(1), 1-9.Jiang, K., Lepak, D. P., Hu, J. & Baer, J. C. (2012). How does human resource management influence organizational outcomes? A Meta-analytic investigation of mediating mechanisms. Academy of Management Journal, 55(6), 1264-1294.Khalid, K. & Aftab, S. (2023). Women’s glass-ceiling beliefs and their perceived career progression: A tale of two countries. Economic Research-Ekonomska Istraživanja, 36(3), 2188914.Khan, Z., Rao-Nicholson, R., Akhtar, P., Tarba, S. Y., Ahammad, M. F. & Vorley, T. (2019). The role of HR practices in developing employee resilience: A case study from the Pakistani telecommunications sector. The International Journal of Human Resource Management, 30(8), 1342-1369.Konrad, A. & Karam, C. M. (2015). From female leadership advantage to female leadership deficit. Career Development International, 20(3), 273-292.Kossek, E. E. & Perrigino, B. M. (2016). Resilience: A review using a grounded integrated occupational approach. The Academy of Management Annals, 10(1), 729-797.Lyons, S. T., Schweitzer, L. & Ng, E. S. (2015). Resilience in the modern career. Career Development International, 20(4), 363-383.Nasiri Walik Bani, F. & Beheshti Rad, R. (2013). Examining the role of the glass ceiling on the reduction of perceived organizational justice. Social Studies of Women's Psychology, 12(4), 149-172. (In Persian)Nazari, H. (1396). Challenges of human resources in Tehran municipality. Journal of Applied Studies in Management and Development Sciences, 2(3), 81-90. (In Persian)Pipe, T. B., Buchda, V.L., Launder, S., Hudak, B., Hulvey, L., Karns, K. E. & Pendergast, D. (2012). Building personal and professional resources of resilience and agility in the healthcare workplace. Stress and Health, 28(1), 11-22.Popescu, S. (2012). Women and men in entrepreneurship. Journal of Knowledge Management, Economics and Information Technology, 2(4), 1-10.Powell, G. N. (1987). The effects of sex and gender on recruitment. Academy of Management Review, 12(4), 731-743.Ragins, B. R., Townsend, B. & Mattis, M. (1998). Gender gap in the executive suite: CEOs and female executives report on breaking the glass ceiling. Academy of Management Perspectives, 12(1), 28-42.Rahimi, F., Mohammadi, S. & Kayani, E. (2017). Multi-level model of antecedents and consequences of career resilience in workplace. Career & Organizational Counseling, 10(34), 44-63. (In Persian)Ramos, K. & Lopez, F. G. (2018). Attachment security and career adaptability as predictors of subjective well-being among career transitioners. Journal of Vocational Behavior, 104, 72-85.Rindova, V., Barry, D. & Ketchen, D. J. (2009). Entrepreneuring as emancipation. Academy of Management Review, 34(3), 477-491.Robinson, S. & Stubberud, H. A. (2010). An analysis of informal social networks by. International Journal of Entrepreneurship, 14(1), 1-12.Rowley, C., Kang, H. R. & Lim, H. J. (2016). Female manager career success: The importance of individual and organizational factors in South korea. Asia Pacific Journal of Human Resources, 54(1), 98-122.Sealy, R., Vinnicombe, S. & Doldor, E. (2016). The Female FTSE Board Report 2016: Women on Boards: Taking Stock of Where We Are. Cranfield University, pp. 1-72.Seville, E. (2009). Resilience: great concept but what does it mean for organisations?. Tephra, 22, 9-15.Sherlock-Storey, M., Moss, M. & Timson, S. (2013). Brief coaching for resilience during organisational change – an exploratory study. Coaching Psychologist, 9(1), 19-26.Shin, J., Taylor, M. S. & Seo, M. G. (2012). Resources for change: The relationships of organizational inducements and psychological resilience to employees’ attitudes and behaviours toward organizational change. Academy of Management Journal, 55(3), 727-748.Smith, P., Caputi, P. & Crittenden, N. (2012). How are women’s glass ceiling beliefs related to career success?. Career Development International, 17(5), 458-474.Stevens, C. (2010). Are the women key to sustainable development. Sustainable Development Insight, 3, 1-8.Sultanzadeh, S., Abedi, M. & Baghban, I. (2016). Predicting career adaptability in employees of industrial centers through domains of psychological capital. Positive Psychology Research, 2(1), 19-30. (In Persian)Watanabe, K. S. & Kwarteng, A. H. (2024). Unveiling the glass ceiling phenomenon and mitigating strategies through organizational justice: A conceptual paper. Cogent Business & Management, 11(1), 1-16.   Weick, K. E. & Sutcliffe, K. A. (2001). Managing the Unexpected: Assuring High Performance in an Age of Complexity. Jossey-Bass, University of MI Pressing Problem Series, San Francisco.Westfall, S. S. (2015). Carly fiorina republican rising. People, 84(14), 76-78.Weyer, B. (2007). Twenty years later: Explaining the persistence of the glass ceiling for women leaders. Women in Management Review, 22(6), 482-496.Wirth, L. (2001), Breaking Through the Glass Ceiling: Women in Management. International Labour Office, Geneva.Zagenczyk, T. J., Murrell, A. J. & Gibney, R. (2008). Effects of the physical work environment on the creation of individual- and group-level social capital. International Journal of Organizational Analysis, 15(2), 119-135.

Ariela Raissa Lima-Costa, Anna Enrica Tosti, Bruno Bonfá-Araujo et al.

In the contemporary digital era, the extensive integration of information and communication technologies (ICT) has significantly changed offline activities, including communication, shopping, and media consumption. This integration has been accelerated by the COVID-19 pandemic, leading to increased reliance on ICT for work, education, socializing, and accessing essential services. Consequently, there is growing concern about the impact of ICT on well-being, particularly regarding psychological and financial health, as well as the association with psychiatric disorders. This study is aimed at exploring the psychometric properties of two scales adapted for the Brazilian context: the Digital Life Balance (DLB) scale and the Need for Online Social Feedback (NfOSF) scale. These scales measure individuals’ perceived balance between online and offline activities and their need for social validation online, respectively. Using a sample of 220 Brazilian individuals (50.9% female, 43.6% male, mean age=34.96 years, SD=11.32), we conducted confirmatory factor analysis (CFA) to assess the scales’ factor structures and test the reliability and validity of the two measures. The results demonstrated good fit indices and reliable internal consistency for both scales. Additionally, metric invariance between Brazilian and Italian samples was established, supporting cross-cultural applicability. External validity was examined through correlations with time spent on social media and the perceived importance of followers. Findings indicate that higher DLB is associated with less time spent online, while greater NfOSF correlates with higher importance placed on social media followers. These insights highlight the importance of understanding digital balance and the role of social feedback in ICT use, contributing to the effective screening of potential dysfunctional ICT use in Brazil. As a result of this study, validated Brazilian versions of the NfOSF and DLB scales were successfully obtained, offering valuable tools for assessing DLB and the NfOSF in the Brazilian context.

Tatiana Bachkirova

In the fast-growing field of organisational coaching many issues identified in research and practice can be traced back to the fact that the purpose of this intervention continues to be merely assumed. This paper undertakes a critical examination of the main conundrums in practice and research that arise from the lack of appropriately considered purpose of organisational coaching. In order to generate a conceptual foundation for the necessary debates on these issues, a new framework is introduced that helps to identify and structure the essential layers of consideration concerned with the purpose of coaching. The proposed framework, together with a set of underlying principles, is designed to support meaningful integrations of coaching research studies as well as resolving some challenging issues for practitioners, educators and sponsors of coaching. As an example of using the framework I offer a way of defining the purpose of organisational coaching which should allow the practice to be better placed for responding to current and future challenges.

Gong F, Gong Z, Liu H et al.

Fangmin Gong,1 Zhuliu Gong,1 Haimeng Liu,2 Pei Yi,1 Yuhan Jia,3 Jingwen Zhuang,1 Jilin Shu,1 Xincheng Huang,4 Yibo Wu5 1College of Literature and Journalism Communication, Jishou University, Jishou, People’s Republic of China; 2College of Minority Preparatory Education, Jishou University, Zhangjiajie, People’s Republic of China; 3Office of the Party and Administration, Hebei Academy of Fine Arts, Shijiazhuang, People’s Republic of China; 4School of Economics and Management, Beijing Institute of Graphic Communication, Beijing, People’s Republic of China; 5School of Public Health, Peking University, Beijing, People’s Republic of ChinaCorrespondence: Haimeng Liu, Zhangjiajie Campus, Jishou University, Dayongqiao Street, Ziwu Road, Yongding District, Zhangjiajie, Hunan Province, 427000, People’s Republic of China, Tel +86 15074328922, Email Liu.Haimeng@outlook.com Yibo Wu, Peking University School of Public Health, No.38 Xueyuan Road, Haidian District, Beijing, 100191, People’s Republic of China, Tel +86 18810169630, Email bjmuwuyibo@outlook.comPurpose: To explore the relationship between adolescents’ problematic Internet use and loneliness and the mediating roles of social support and family communication.Methods: A questionnaire survey of 2483 adolescents aged 12– 17 years in 148 cities in China was conducted using the Problematic Internet Use Scale, the Collaborative Social Support Scale, the Family Communication Scale, and the Loneliness Scale. The data were statistically analyzed by SPSS 26.0 and validated by AMOS 28.0. Structural equation modelling (SEM) was conducted to test the effects of problematic Internet use on adolescents’ loneliness and the mediating effects of perceptions of social support and family communication.Results: There was a significant positive effect of adolescents’ problematic Internet use on loneliness (B-0.471, P< 0.001), and the mediating effects of perceptual social support (0.003, 0.012) and family communication (0.008, 0.019) were found to play a chain effect between adolescents’ problematic Internet use and loneliness, respectively. Use and feelings of loneliness played a chain mediating role (0.002, 0.006).Conclusion: This study identified the effects of adolescent problematic Internet use on loneliness and its mechanism of action, emphasized the importance of social support and family communication, and provided practical insights for improving family parenting styles and preventing and intervening in adolescent loneliness problems.Keywords: problematic internet use, adolescents, loneliness, perceived social support, family communication

Muhammad Aqeel, Shakiba Sharifi, Marco Cristani et al.

This study introduces the Iterative Refinement Process (IRP), a robust anomaly detection methodology designed for high-stakes industrial quality control. The IRP enhances defect detection accuracy through a cyclic data refinement strategy, iteratively removing misleading data points to improve model performance and robustness. We validate the IRP's effectiveness using two benchmark datasets, Kolektor SDD2 (KSDD2) and MVTec AD, covering a wide range of industrial products and defect types. Our experimental results demonstrate that the IRP consistently outperforms traditional anomaly detection models, particularly in environments with high noise levels. This study highlights the IRP's potential to significantly enhance anomaly detection processes in industrial settings, effectively managing the challenges of sparse and noisy data.

Hans Aoyang Zhou, Dominik Wolfschläger, Constantinos Florides et al.

Machine vision enhances automation, quality control, and operational efficiency in industrial applications by enabling machines to interpret and act on visual data. While traditional computer vision algorithms and approaches remain widely utilized, machine learning has become pivotal in current research activities. In particular, generative AI demonstrates promising potential by improving pattern recognition capabilities, through data augmentation, increasing image resolution, and identifying anomalies for quality control. However, the application of generative AI in machine vision is still in its early stages due to challenges in data diversity, computational requirements, and the necessity for robust validation methods. A comprehensive literature review is essential to understand the current state of generative AI in industrial machine vision, focusing on recent advancements, applications, and research trends. Thus, a literature review based on the PRISMA guidelines was conducted, analyzing over 1,200 papers on generative AI in industrial machine vision. Our findings reveal various patterns in current research, with the primary use of generative AI being data augmentation, for machine vision tasks such as classification and object detection. Furthermore, we gather a collection of application challenges together with data requirements to enable a successful application of generative AI in industrial machine vision. This overview aims to provide researchers with insights into the different areas and applications within current research, highlighting significant advancements and identifying opportunities for future work.

Nikhita Joshi, Daniel Vogel

The feeling of something belonging to someone is called "psychological ownership." A common assumption is that writing with generative AI lowers psychological ownership, but the extent to which this occurs and the role of prompt length are unclear. We report on two experiments to examine the relationship between psychological ownership and prompt length. Participants wrote short stories either completely by themselves or wrote prompts of varying lengths. Results show that when participants wrote longer prompts, they had higher levels of psychological ownership. Their comments suggest they thought more about their prompts, often adding more details about the plot. However, benefits plateaued when prompt length was 75-100% of the target story length. To encourage users to write longer prompts, we propose augmenting the prompt submission button so it must be held down a long time if the prompt is short. Results show that this technique is effective at increasing prompt length.

Lan Z, Pau K, Md Yusof H et al.

Zhensong Lan,1,2 Kee Pau,3 Hapsah Md Yusof,3 Xuefang Huang4 1School of Public Administrations, Hechi University, Hechi, Guangxi, 546300, People’s Republic of China; 2National Child Development Research Centre, Sultan Idris Education University, Tanjong Malim Perak, 35900, Malaysia; 3Department of Psychology and Counseling, Faculty of Human Development, Sultan Idris Education University, Tanjong Malim Perak, 35900, Malaysia; 4College of Humanities & Social Sciences, Huazhong Agricultural University, Wuhan, Hubei, 430070, People’s Republic of ChinaCorrespondence: Kee Pau, Director of Counseling Center, Bangunan Bitarasiswa, Tingkat Bawah, Kampus Sultan Abdul Jalil Shah Universiti Pendidikan Sultan Idris, Tanjong Malim Perak, 35900, Malaysia, Tel +60 167228023, Email pau_kee@fpm.upsi.edu.myPurpose: To explore the relationship between adolescents’ emotion regulation ability and non-suicidal self-injury (NSSI) behavior and the role of sleep, exercise, and social support in this relationship.Methods: A total of 2573 adolescents were investigated with the Cognitive Emotion Regulation Scale, the Social Support Scale for Children and Adolescents, the Ottawa Self-Injury Questionnaire, and the Self-Made Living Condition Questionnaire, and path analysis was conducted based on the structural equation model (SEM).Results: 1) There was a significant correlation between emotion regulation ability and NSSI behavior; 2) sleep and social support played a mediating role between emotion regulation ability and NSSI behavior; and 3) sleep modulated the direct effect of negative emotion regulation ability on NSSI, while exercise modulated the direct effect of positive emotion regulation ability on NSSI, which indicated that sleep and exercise could effectively alleviate NSSI behavior caused by the lack of emotion regulation in adolescents.Keywords: emotion regulation ability, non-suicidal self-injury, NSSI, structural equation model, SEM

Cheng Feng

This study focuses on two important problems related to applying offline model-based optimization to real-world industrial control problems. The first problem is how to create a reliable probabilistic model that accurately captures the dynamics present in noisy industrial data. The second problem is how to reliably optimize control parameters without actively collecting feedback from industrial systems. Specifically, we introduce a novel cGAN ensemble-based uncertainty-aware surrogate model for reliable offline model-based optimization in industrial control problems. The effectiveness of the proposed method is demonstrated through extensive experiments conducted on two representative cases, namely a discrete control case and a continuous control case. The results of these experiments show that our method outperforms several competitive baselines in the field of offline model-based optimization for industrial control.

Jerod C. White, Daniel M. Ravid, I. Siderits et al.

Abstract The rapid pace at which technology changes creates a challenge for industrial-organizational (I-O) psychologists, who often conduct hypothetico-deductive research. In this article, we examine technology research in the I-O psychology community by asking three questions: Why should I-O psychologists study new technologies? How timely is I-O psychologists’ technology research? How can I-O psychologists produce timelier technology research? Using archival data from 23 years of SIOP conferences and a historical timeline of technology innovations, we find that I-O psychologists study technology milestones an average of 6.10 years after they first enter widespread awareness and adoption. We discuss the implications of this lag and conclude by urging I-O psychologists to study technology with an eye toward action, exploration, collaboration, dissemination, and creation.

Priyanka Yadav, Priyanka Shukla, Debasish Padhi et al.

Background: In many reviews, it is found that parental responsiveness, parental emotion-related coaching, and parental positive demandingness are related to children's higher emotional intelligence (EI), while parental negative demandingness is related to children's lower EI. There is a lack of Indian work in this area. Aim: To study the role of EI and parenting style in predicting psychological well-being among adolescents in an Indian scenario. Materials and Methods: This cross-sectional, analytical study was carried out on 75 boys and 75 girls in the age range of 15–18 years and attending school. They were assessed with the sociodemographic data sheet, trait EI questionnaire, psychological well-being inventory, and parental authority questionnaire. After the administration on different scales, the scoring was done and data were analyzed with SPSS. Results: There were no gender differences in the scores of EI, psychological well-being, and self-reported parenting style scores. There was a significant positive co-relation between well being and authoritative, authoritarian and autonomy, positive relationship. and self acceptance. Authoritarian parenting style is highly correlated with EI in comparison to authoritative and permissive parenting styles. Conclusion: Authoritarian parenting style is most suitable for the development of EI and on the other hand, permissive parenting style has the least role in the development of EI. EI and parenting style are found to predict the psychological well-being in adolescents.

Dominik Martin, Simon Heinzel, Johannes Kunze von Bischhoffshausen et al.

Deep learning methods have proven to outperform traditional computer vision methods in various areas of image processing. However, the application of deep learning in industrial surface defect detection systems is challenging due to the insufficient amount of training data, the expensive data generation process, the small size, and the rare occurrence of surface defects. From literature and a polymer products manufacturing use case, we identify design requirements which reflect the aforementioned challenges. Addressing these, we conceptualize design principles and features informed by deep learning research. Finally, we instantiate and evaluate the gained design knowledge in the form of actionable guidelines and strategies based on an industrial surface defect detection use case. This article, therefore, contributes to academia as well as practice by (1) systematically identifying challenges for the industrial application of deep learning-based surface defect detection, (2) strategies to overcome these, and (3) an experimental case study assessing the strategies' applicability and usefulness.