Hasil untuk "Industrial psychology"

M. Mehl, Tamlin S. Conner

D. Mcgregor

P. Miller, T. O'Leary

Robert P. Steel, Nestor K. Ovalle

J. Paauwe

H. Simon

M. Campion, Alexis A. Fink, Brian J. Ruggeberg et al.

D. Cable, T. Judge

L. Thompson

Ebenezer Kwesi Lotey, Francis Ohene Boateng, Benedicta Ofosua

Performance in mathematics (PM) has become a progressively influential determinant for learners to navigate in various STEM (science, technology, engineering, and mathematics) disciplines. Mathematics serves as the bedrock for science, art, technology, and engineering. For learners to build strong confidence and interest in these fields, the demand for highly acceptable mathematics perceived mathematics performance cannot be underestimated. This research explores students’ perceived mathematical performance through artificial intelligence (AI) self-efficacy and examines the interplay between motivation and engagement in AI usage and its impact on perceived mathematics performance. Sampling 528 students from a STEM-based program in Ghana, this study utilized “covariance-based structural equation modeling” (CB-SEM) to examine students’ AI self-efficacy, AI motivation, AI engagement, and perceived mathematics performance. The study’s results depicted that AI self-efficacy positively affects students’ motivation to use AI and significantly influences AI engagement, which subsequently impacts their perceived mathematics performance. Furthermore, students’ motivation for AI usage and their engagement with the tool mediate the link between AI self-efficacy and perceived performance. Both engagement and motivation in AI moderate the relationship between AI self-efficacy and performance. This investigation provides empirical evidence on how AI, if adapted ethically, might enhance students’ mathematics performance and improve the quality of mathematics concept retention through self-regulated learning or personalization. The results therefore offer insights into learner attitudes and behavioral intentions, while pointing to the need for future research connecting AI use with objective achievement data. For educational practice, the findings suggest that fostering AI self-efficacy through targeted training can create cascading benefits for motivation, engagement, and ultimately, perceived mathematics performance among STEM students.

Sid Terason, Chaithanaskorn Phawitpiriyakliti

This study investigates how industrial executives in Thailand's manufacturing sector navigate artificial intelligence integration into leadership practices. As AI systems increasingly participate in organizational decision-making, questions arise about how leaders experience shared authority with algorithmic agents and how cultural context shapes that experience. Drawing on semi-structured interviews with 25 senior executives from medium- to large-scale manufacturing firms, this study employed thematic analysis within a constructivist paradigm to explore perceptions, strategies, and ethical considerations surrounding AI adoption. Four themes emerged: technological augmentation of human labor, transformed executive roles in AI-mediated decision-making, ethical and workforce challenges, and uneven readiness for technological transformation. The findings reveal a fundamental paradox: executives increasingly depend on AI for operational decisions while simultaneously resisting delegation of authority to machines. This tension reflects Thai cultural values including bun khun (reciprocal obligation) and kreng jai (reluctance to impose or cause discomfort). We propose pragmatic posthumanism as a concept capturing this liminal condition—where leaders functionally share agency with AI systems yet remain institutionally and culturally positioned as sole decision-makers. The hybrid-intelligence leadership framework emerges from these findings, integrating cognitive integration, ethical governance, and workforce adaptation as culturally embedded domains. This study contributes to leadership theory by demonstrating how AI-driven transformation unfolds differently across cultural contexts, challenges Western-centric assumptions about human-machine collaboration, and offers practical guidance for executives, policymakers, and educators navigating Industry 4.0 in Southeast Asia.

Soon Ang, L. Dyne

Elizabeth Crosse, Janine Roberts

Completing a Master’s or Doctorate is a significant academic undertaking. Navigating it with the added complexity of neurodivergent traits presents distinct challenges. This autoethnographic study, underpinned by reflexive thematic exploration of the literature, draws on the authors’ lived experiences of completing doctoral research with dyslexia, dyspraxia, dysgraphia, and ADHD. It shares insights and strategies that supported their success, contributing to growing calls for inclusivity and understanding in academia. The authors highlight the valuable contributions neurodivergent individuals make to advancing theory and practice and issue a call to action for coach-specific research better to support neurodivergent researchers, practitioners, and clients.

Putri BBK, Noer AH, Purba FD

Bernadette Btari Kania Putri, Afra Hafny Noer, Fredrick Dermawan Purba Department of Psychology, Faculty of Psychology, Universitas Padjadjaran, Jatinangor, West Java, IndonesiaCorrespondence: Bernadette Btari Kania Putri, Email bernadette20002@mail.unpad.ac.idAbstract: Anxiety is a common mental health disorder, with recent studies emphasizing a growing trend of appearance-related concerns among adolescents. Therefore, this study aimed to systematically examine psychological factors related to the prevention and intervention of anxiety disorder. The examination process comprised searching 7 databases for studies investigating psychological factors influencing appearance anxiety among adolescents. The review focused on primary studies published in English between 2014 and 2024, which measured appearance anxiety as a dependent variable. Additionally, a narrative synthesis was conducted on 22 studies that met the inclusion criteria. As a result, the review identified 4 domains of psychological factors influencing appearance anxiety, including 1) personal (eg social media addiction), 2) cognitive (eg value), 3) emotional (eg body shame), and 4) social factors (eg teasing). The findings showed a more complex pattern between these domains, particularly describing the way cognitive and emotional factors mediated the effect of social and personal factors on appearance anxiety. Within each domain, there was considerable homogeneity in the specific factors identified. Consequently, these findings showed the importance of focusing on cognitive and emotional factors in both prevention and intervention strategies for appearance anxiety. Future studies should include other populations, such as young adults and LGBTQ individuals. This is because studies have shown that appearance anxiety is prevalent in the groups, allowing for more generalized findings.Keywords: adolescents, appearance anxiety, psychological factors, systematic literature review

Pendar Fazel

The termination phase in coaching is a pivotal stage marking the conclusion of a transformative relationship. Without effective management, this phase risks fostering dependency and hindering sustainable growth. This conceptual paper, leveraging a Creative Synthesis approach, integrates insights from coaching, psychology, and developmental theories to redefine termination as a transformative process and formulate strategies for sustaining client autonomy beyond coaching. It introduces the Sandwich model, Tapering Strategy, Split-Screen Exercise, and Intentional Meta-Being to empower clients on a transformational journey toward a higher level of being by integrating intentionality, purpose, and community engagement.

Zhang J, Zeng Y

Jiahui Zhang,* Youlai Zeng* Department of Education, Liaoning Normal University, Liaoning, Dalian, 116029, People’s Republic of China*These authors contributed equally to this workCorrespondence: Youlai Zeng, Email 382765058@qq.comBackground: College students are the backbone of future national construction and shoulder the hope of the future development of the country and the nation. Smartphone addiction among college students will not only affect their own mental health and learning attitude, but it will also significantly affect their future academic achievement, academic emotion and academic engagement. However, the relationship between academic anxiety and academic control and academic achievement, as well as their internal mechanisms and boundary conditions, has received little attention. The purpose of this study is to examine whether and how smartphone addiction influences academic achievement.Purpose: This study aims to explore the mechanistic role of academic anxiety and academic control in the influence of smartphone addiction on academic achievement in college students, and hopes that the results can guide education and teaching.Methods: A sample of N=2097 participants, this study evaluated the relationship between smartphone addiction, academic control, academic anxiety and academic achievement among college students, and the participants filled in the college students’ smartphone addiction scale, academic control questionnaire, academic anxiety questionnaire and grade points.Results: (1) There is a significant negative correlation between smartphone addiction and academic achievement; (2) academic anxiety serves as a complete mediator in the relationship between smartphone addiction and academic achievement; (3) the interaction between smartphone addiction and academic control moderates academic anxiety, with higher levels of academic control associated with a weaker impact of smartphone addiction on academic anxiety; (4) academic control also moderates the mediating role of academic anxiety between smartphone addiction and academic achievement, demonstrating a moderated mediating effect.Conclusion: Smartphone addiction had negative direct effect on academic achievement, as well as completely mediating effect through academic anxiety. Academic control moderated the relationship between of smartphone addiction and academic anxiety. This study enriches the research on the relationship between smartphone addiction and academic achievement in theory, and has important guiding significance for education and teaching in practice.Keywords: smartphone addiction, academic anxiety, sense of academic control, academic achievement

Leonidas Theodorakopoulos, Alexandra Theodoropoulou

The integration of big data analytics in digital marketing has fundamentally transformed how organizations understand and influence consumer behavior. This systematic review explores the potential of big data to offer deep insights into consumer preferences and behaviors. The current literature on big data and consumer behavior showcases its potential in enhancing marketing and customer experiences. However, significant gaps exist, such as longitudinal studies on how continuous big data–driven personalization affects consumer trust and loyalty over time. Addressing these gaps will advance academic understanding and offer practical insights for optimizing marketing strategies and improving customer experiences ethically. Focusing on these areas will contribute to a holistic view of big data’s responsible use in digital marketing. By utilizing large datasets, businesses can now tailor their marketing strategies to individual consumers, enhancing customer satisfaction and engagement. Adopting the PRISMA methodology, this review synthesizes recent literature to evaluate the benefits of big data in digital marketing. The research was conducted through a rigorous five-stage process, encompassing the identification of key research questions, database searches, and the critical analysis of selected articles: (1) defining the initial topic, (2) developing the appropriate research questions, (3) identifying the necessary keywords, (4) identifying and searching databases, and finally (5) accessing and reading the articles. The databases that were searched were as follows: Scopus, Web of Science, Emerald Insight, Springer Link, and ScienceDirect. The articles that were selected were 19, in a total sum of 265 identified articles. The findings consolidate current knowledge on how big data analytics can optimize marketing strategies and consumer experiences. Ultimately, this review underscores the transformative potential of big data in digital marketing, highlighting its role in enhancing customer insights and driving more effective marketing strategies.

Jean-Christophe Giger, Nuno Piçarra, Grzegorz Pochwatko et al.

Isaac Asimov (1982) in Foundation’s Edge, p. 420

D. Lubinski, C. Benbow