This program evaluation examined outcomes of a program called The Fellowship, designed for autistic youth and young adults ages 15–39 and implemented across six rural and mid-sized Wisconsin communities. The Fellowship integrates interest-driven creative activities, peer discussion, and reflection, grounded in Positive Youth Development and the OT framework of doing, being, belonging, + becoming. Fifty-four participants engaged in the six-month program. The authors used thematic analysis of weekly online post-session reflections to assess program impact. The authors identified five themes: Belonging and Community-Building, Artistic Process and Perseverance, Artistic Self-Efficacy, Self-Discovery, and Program Enjoyment. Participants frequently reported increased confidence, connection, and a sense of identity through creative expression. The authors identified creative agency and consistent community support as key facilitators in these outcomes. Findings indicated that The Fellowship fosters critical developmental outcomes for autistic youth and young adults, including improved self-confidence, social connection, and a sense of identity, which are essential for successful transitions to adulthood and community belonging. These results suggest practical implications for professionals working with autistic youth, highlighting the value of integrating creative, strengths-based, and community-centered approaches. Further research of long-term outcomes is needed to understand the broader applicability of this approach across various populations and settings.
Ethnology. Social and cultural anthropology, Organizational behaviour, change and effectiveness. Corporate culture
Harshul Raj Surana, Arijit Maji, Aryan Vats
et al.
Large Language Models (LLMs) have made significant progress in reasoning tasks across various domains such as mathematics and coding. However, their performance deteriorates in tasks requiring rich socio-cultural knowledge and diverse local contexts, particularly those involving Indian Culture. Existing Cultural benchmarks are (i) Manually crafted, (ii) contain single-hop questions testing factual recall, and (iii) prohibitively costly to scale, leaving this deficiency largely unmeasured. To address this, we introduce VIRAASAT, a novel, semi-automated multi-hop approach for generating cultural specific multi-hop Question-Answering dataset for Indian culture. VIRAASAT leverages a Knowledge Graph comprising more than 700 expert-curated cultural artifacts, covering 13 key attributes of Indian culture (history, festivals, etc). VIRAASAT spans all 28 states and 8 Union Territories, yielding more than 3,200 multi-hop questions that necessitate chained cultural reasoning. We evaluate current State-of-the-Art (SOTA) LLMs on VIRAASAT and identify key limitations in reasoning wherein fine-tuning on Chain-of-Thought(CoT) traces fails to ground and synthesize low-probability facts. To bridge this gap, we propose a novel framework named Symbolic Chain-of-Manipulation (SCoM). Adapting the Chain-of-Manipulation paradigm, we train the model to simulate atomic Knowledge Graph manipulations internally. SCoM teaches the model to reliably traverse the topological structure of the graph. Experiments on Supervised Fine-Tuning (SFT) demonstrate that SCoM outperforms standard CoT baselines by up to 20%. We release the VIRAASAT dataset along with our findings, laying a strong foundation towards building Culturally Aware Reasoning Models.
This paper studies whether a lightweight trained aggregator can combine diverse zero-shot large language model judgments into a stronger downstream signal for corporate disclosure classification. Zero-shot LLMs can read disclosures without task-specific fine-tuning, but their predictions often vary across prompts, reasoning styles, and model families. I address this problem with a multi-agent framework in which three zero-shot agents independently read each disclosure and output a sentiment label, a confidence score, and a short rationale. A logistic meta-classifier then aggregates these signals to predict next-day stock return direction. I use a sample of 18,420 U.S. corporate disclosures issued by Nasdaq and S&P 500 firms between 2018 and 2024, matched to next-day stock returns. Results show that the trained aggregator outperforms all single agents, majority vote, confidence-weighted voting, and a FinBERT baseline. Balanced accuracy rises from 0.561 for the best single agent to 0.612 for the trained aggregator, with the largest gains in disclosures combining strong current performance with weak guidance or elevated risk. The results suggest that zero-shot LLM agents capture complementary financial signals and that supervised aggregation can turn cross-agent disagreement into a more useful classification target.
Readers’ Theatre is a simple, yet powerful, spoken word art form that can be transformative, informative, and celebratory. Storytelling is an ancient art form that serves purposes ranging from entertainment and education to cultural preservation and building connections. The Readers’ Theatre model, outlined in this article, combines these approaches with a twist. In this case, readers represent the voices of the writers to protect the individuals’ privacy. In other words, no one reads their own story. The article includes personal comments from people who shared a common bond: the Readers’ Theatre experience. In addition to inspiring a message of change, Readers’ Theatre can be used as a unique educational tool that fosters cultures of partnership and empathy. The message is not delivered top-down but instead comes from among those involved. Hearing the voices of those who have a shared experience creates a healing, enlightening environment for a community.
Key Words: Storytelling, Theater, Transformative Narrative, Community
Ethnology. Social and cultural anthropology, Organizational behaviour, change and effectiveness. Corporate culture
در سالهای اخیر، تصویر نهاد پلیس در رسانهها نقش مهمی در شکلگیری یا تضعیف اعتماد عمومی به کارآمدی و مشروعیت این نهاد داشته است. این پژوهش با هدف بررسی تأثیر بازنماییهای رسانهای پلیس بر اعتماد عمومی در زمینه آسیبهای اجتماعی، با رویکرد کیفی و روش دادهبنیاد انجام شد. جامعه آماری شامل شهروندان تهرانی بود که بهصورت هدفمند انتخاب شدند. 24 نفر تا رسیدن به اشباع نظری از طریق مصاحبه نیمهساختاریافته بررسی شدند و دادهها با کدگذاری باز، محوری و انتخابی تحلیل شدند. برای افزایش اعتبار پژوهش، از روشهای تطبیق دادهها، بازنگری شرکتکنندگان و شفافسازی فرایند تحلیل استفاده شد. یافتهها نشان داد که تصویر پلیس در اذهان عمومی پدیدهای پویا و متأثر از عوامل تاریخی، عملکردی، رسانهای و اجتماعی است. مدل پارادایمی پژوهش، «بازنمایی اجتماعی پلیس در ذهن شهروندان» را بهعنوان پدیده محوری معرفی کرد که تحت تأثیر شرایط علی (تصویر نمادین-تاریخی و عملکرد پلیس)، شرایط زمینهای (جنسیت، طبقه اجتماعی و محل سکونت) و شرایط مداخلهگر (رسانههای نوین و سنتی) شکل میگیرد. رسانههای اجتماعی با تقویت بازنماییهای منفی و رسانههای رسمی با ارائه تصاویر تبلیغاتی یکسویه، ادراکات متناقضی ایجاد میکنند. نتیجه این فرآیند، نظریه «اعتماد عمومی شکننده در سایه بازنمایی متضاد» است که به کاهش مشروعیت نهادی و همکاری اجتماعی با پلیس منجر میشود. این پژوهش بر لزوم بازنگری راهبردهای رسانهای، شفافسازی عملکرد پلیس و ایجاد فضاهای گفتوگوی اجتماعی برای تقویت اعتماد عمومی تأکید دارد.
Social sciences (General), Organizational behaviour, change and effectiveness. Corporate culture
Research on the 'cultural alignment' of Large Language Models (LLMs) has emerged in response to growing interest in understanding representation across diverse stakeholders. Current approaches to evaluating cultural alignment through survey-based assessments that borrow from social science methodologies often overlook systematic robustness checks. Here, we identify and test three assumptions behind current survey-based evaluation methods: (1) Stability: that cultural alignment is a property of LLMs rather than an artifact of evaluation design, (2) Extrapolability: that alignment with one culture on a narrow set of issues predicts alignment with that culture on others, and (3) Steerability: that LLMs can be reliably prompted to represent specific cultural perspectives. Through experiments examining both explicit and implicit preferences of leading LLMs, we find a high level of instability across presentation formats, incoherence between evaluated versus held-out cultural dimensions, and erratic behavior under prompt steering. We show that these inconsistencies can cause the results of an evaluation to be very sensitive to minor variations in methodology. Finally, we demonstrate in a case study on evaluation design that narrow experiments and a selective assessment of evidence can be used to paint an incomplete picture of LLMs' cultural alignment properties. Overall, these results highlight significant limitations of current survey-based approaches to evaluating the cultural alignment of LLMs and highlight a need for systematic robustness checks and red-teaming for evaluation results. Data and code are available at https://huggingface.co/datasets/akhan02/cultural-dimension-cover-letters and https://github.com/ariba-k/llm-cultural-alignment-evaluation, respectively.
Xiutian Zhao, Rochelle Choenni, Rohit Saxena
et al.
Despite their impressive performance, vision-language models (VLMs) still struggle on culturally situated inputs. To understand how VLMs process culturally grounded information, we study the presence of culture-sensitive neurons, i.e. neurons whose activations show preferential sensitivity to inputs associated with particular cultural contexts. We examine whether such neurons are important for culturally diverse visual question answering and where they are located. Using the CVQA benchmark, we identify neurons of culture selectivity and perform causal tests by deactivating the neurons flagged by different identification methods. Experiments on three VLMs across 25 cultural groups demonstrate the existence of neurons whose ablation disproportionately harms performance on questions about the corresponding cultures, while having minimal effects on others. Moreover, we propose a new margin-based selector - Contrastive Activation Selection (CAS), and show that it outperforms existing probability- and entropy-based methods in identifying culture-sensitive neurons. Finally, our layer-wise analyses reveals that such neurons tend to cluster in certain decoder layers. Overall, our findings shed new light on the internal organization of multimodal representations.
Abdelrahman Sadallah, Junior Cedric Tonga, Khalid Almubarak
et al.
Despite progress in Arabic large language models, such as Jais and AceGPT, their evaluation on commonsense reasoning has largely relied on machine-translated datasets, which lack cultural depth and may introduce Anglocentric biases. Commonsense reasoning is shaped by geographical and cultural contexts, and existing English datasets fail to capture the diversity of the Arab world. To address this, we introduce ArabCulture, a commonsense reasoning dataset in Modern Standard Arabic (MSA), covering cultures of 13 countries across the Gulf, Levant, North Africa, and the Nile Valley. The dataset was built from scratch by engaging native speakers to write and validate culturally relevant questions for their respective countries. ArabCulture spans 12 daily life domains with 54 fine-grained subtopics, reflecting various aspects of social norms, traditions, and everyday experiences. Zero-shot evaluations show that open-weight language models with up to 32B parameters struggle to comprehend diverse Arab cultures, with performance varying across regions. These findings highlight the need for more culturally aware models and datasets tailored to the Arabic-speaking world.
Large language models (LLMs) often reflect Western-centric biases, limiting their effectiveness in diverse cultural contexts. Although some work has explored cultural alignment, the potential for cross-cultural transfer, using alignment in one culture to improve performance in others, remains underexplored. This paper investigates cross-cultural transfer of commonsense reasoning in the Arab world, where linguistic and historical similarities coexist with local cultural differences. Using a culturally grounded commonsense reasoning dataset covering 13 Arab countries, we evaluate lightweight alignment methods such as in-context learning and demonstration-based reinforcement (DITTO), alongside baselines like supervised fine-tuning and direct preference optimization. Our results show that merely 12 culture-specific examples from one country can improve performance in others by 10\% on average, within multilingual models. In addition, we demonstrate that out-of-culture demonstrations from Indonesia and US contexts can match or surpass in-culture alignment for MCQ reasoning, highlighting cultural commonsense transferability beyond the Arab world. These findings demonstrate that efficient cross-cultural alignment is possible and offer a promising approach to adapt LLMs to low-resource cultural settings.
Large Language Models (LLMs) often exhibit cultural biases due to training data dominated by high-resource languages like English and Chinese. This poses challenges for accurately representing and evaluating diverse cultural contexts, particularly in low-resource language settings. To address this, we introduce MyCulture, a benchmark designed to comprehensively evaluate LLMs on Malaysian culture across six pillars: arts, attire, customs, entertainment, food, and religion presented in Bahasa Melayu. Unlike conventional benchmarks, MyCulture employs a novel open-ended multiple-choice question format without predefined options, thereby reducing guessing and mitigating format bias. We provide a theoretical justification for the effectiveness of this open-ended structure in improving both fairness and discriminative power. Furthermore, we analyze structural bias by comparing model performance on structured versus free-form outputs, and assess language bias through multilingual prompt variations. Our evaluation across a range of regional and international LLMs reveals significant disparities in cultural comprehension, highlighting the urgent need for culturally grounded and linguistically inclusive benchmarks in the development and assessment of LLMs.
Technology and society have been in constant interplay since the early man’s invention of simple tools. Among modern interplays are e-press, digital technologies, and the internet of things (IoT). Based on a critical review of existing literature, the study investigated how organizational culture is driving employee’s actions to embrace change through technological innovation, and how this interplay result to organizational competitiveness. The study used qualitative design to collect data, which was manually analyzed using the researcher’s insight and research skills to bring out the main themes. After analysis, the study found that technology is a key driver of innovation, and innovation is an enabler for organizations’ to consistently achieve superior performance. In organizations, technological innovation and culture interact to influence organizational behavior which drives economic change, productivity and long term growth. When embraced by organizational employees, technological innovation can lead to high employee performance. The study concludes that people through culture shift, have adopted technological innovation for their organizational superior performance. The study recommends that governments train their organizations and help them buy technologies in form of digital computers and Information Communication Technologies for connecting individuals, promotion of values, mutual respect, and innovation.
The use of smart devices as media for digital learning constitutes a new-generation digital learning paradigm. Therefore, context-aware game-based learning has attracted considerable attention. Location-based games have not only positive effects on learning but also pronounced effects on culture and history. Accordingly, focusing on railway cultural heritages, we attempted to assess interdependent relationships between key factors crucial for the design of a location-based mobile game for cultural heritages. We adopted the analytic network process (ANP) for our assessment. We initially performed a literature review to generalize relevant criteria and elements and developed a questionnaire based on the fuzzy delphi method (FDM); thus, key factors, namely 3 criteria and 15 elements, were selected. We also applied an online ANP-based questionnaire; on the basis of the experts opinions, we established a network model and determined the priority order of the key factors. The results revealed that experts considered culture learning to be of the highest importance, with the most important three elements being prior knowledge, challenge levels, and cultural narrative. In addition, culture learning exhibited a strong interaction with content design. In each criterion, one element had a considerable influence on the remaining elements, as determined by an analysis of matrices.
Rameez Raja Kureshi, Bhupesh Kumar Mishra, Dhavalkumar Thakker
et al.
The detrimental effects of air pollutants on human health have prompted increasing concerns regarding indoor air quality (IAQ). The emergence of digital health interventions and citizen science initiatives has provided new avenues for raising awareness, improving IAQ, and promoting behavioural changes. The Technology Acceptance Model (TAM) offers a theoretical framework to understand user acceptance and adoption of IAQ technology. This paper presents a case study using the COM-B model and Internet of Things (IoT) technology to design a human-centred digital visualisation platform, leading to behavioural changes and improved IAQ. The study also investigates users' acceptance and adoption of the technology, focusing on their experiences, expectations, and the impact on IAQ. Integrating IAQ sensing, digital health-related interventions, citizen science, and the TAM model offers opportunities to address IAQ challenges, enhance public health, and foster sustainable indoor environments. The analytical results show that factors such as human behaviour, indoor activities, and awareness play crucial roles in shaping IAQ.
Chowdhury Shahriar Muzammel, Maria Spichkova, James Harland
Designing mobile software that aligns with cultural contexts is crucial for optimizing human-computer interaction. Considering cultural influences is essential not only for the actual set of functional/non-functional requirements, but also for the whole Requirement Engineering (RE) process. Without a clear understanding of cultural influences on RE activities, it's hardly possible to elaborate a correct and complete set of requirements. This research explores the impact of national culture on RE-related activities based on recent studies. We conducted a Systematic Literature Review (SLR) of studies published in 2019-2023 and compared them to an older SLR covering 2000-2018. We identified 17 relevant studies, extracted 33 cultural influences impacting RE activities, and mapped them to the Hofstede model, widely used for cultural analysis in software development research. Our work highlights the critical role of national culture in RE activities, summarizes current research trends, and helps practitioners consider cultural influences for mobile app/software development.
Arcangelo Massari, Silvio Peroni, Francesca Tomasi
et al.
In the realm of Digital Humanities, the management of cultural heritage metadata is pivotal for ensuring data trustworthiness. Provenance information - contextual metadata detailing the origin and history of data - plays a crucial role in this process. However, tracking provenance and changes in metadata using the Resource Description Framework (RDF) presents significant challenges due to the limitations of foundational Semantic Web technologies. This article offers a comprehensive review of existing models and approaches for representing provenance and tracking changes in RDF, with a specific focus on cultural heritage metadata. It examines W3C standard proposals such as RDF Reification and n-ary relations, along with various alternative systems. Through an in-depth analysis, the study identifies Named Graphs, RDF*, the Provenance Ontology (PROV-O), Dublin Core (DC), Conjectural Graphs, and the OpenCitations Data Model (OCDM) as the most effective solutions. These models are evaluated based on their compliance with RDF standards, scalability, and applicability across different domains. The findings underscore the importance of selecting the appropriate model to ensure robust and reliable management of provenance in RDF datasets, thereby contributing to the ongoing discourse on provenance representation in the Digital Humanities.
Introduction
In Iranian carpet weaving, one of the most attractive and popular developments in design style is the beginning of the illustration movement in the thirteenth century (AH). In particular, the portraits of historical and mythical kings as an ideal and archaic subject with cryptic and symbolic themes are given much attention in this period. In the meantime, the myth of Hoshangshah has been woven in a diverse geographical area with a special and fixed composition. Therefore, this research is directed to seek meaning of the texts and find the signs and social messages hidden in the carpets of Hoshangshahi to answer the question of what concepts the elements of this carpet indicate.
Methodology
In this regard, the present article, by examining and analyzing carpet actors in the form of image semiotics system and establishing intertextual relations, has tried to discover and analyze hypertexts and two-way communication between carpet and society in a descriptive-analytical manner. The processes of cognition and communication and the search for signifier and modular relations between the actors in the heart of Qajar society and the carpet system have been done and hypertextual actions and dominant thinking in the construction of this carpet have been realized.
It should be noted that the data of this research was collected in a documentary method, using Nonreactive Measures like online data, pictures, historical backgrounds and methods like that.
In this research, two samples of carpets have been selected from image types, the first sample is related to the rural style and the texture of Nahavand, Hamedan, and the second sample is related to the urban style and the texture of Kerman. The constituent elements of these two carpets are placed on the two levels of the border and the background of the carpet, having visual and verbal symptoms. The reason for presenting two examples of two different styles in this research is that the design and patterns in the human and social geography of handwoven carpets are not always subjected to an exclusive system and sometimes some kind of interaction takes place in order to express common concerns among the weaving communities, which creates commonalities in thematization, but each region cultivates and represents the themes according to its style and visual language.
Discussion
Cultures and cultural manifestations are made of signs, each of which is a manifestation of something other than itself, and the person living in the culture gives meaning to these signs (Roze as mentioned by Miek Ball, 2014, p. 144); therefore, each sign has a meaning beyond what comes from words (Adams, 2009, p.1), and a picture is often more eloquent and explicit than thousands of words. Hence, with the formation of the illustration movement in the Qajar era, abstract patterns of carpets were removed from their biological symbols and became a kind of the second-order semiotic system (mythological level) and until the middle of the fourteenth century (Tanavoli, 1989, p. 7), artists produced these broader systems of meaning in the form of images. In this regard, the most frequent design of the theme in the field of Qajar carpets has been the weaving of carpets with the theme of mythological and historical kings and the iconography of the kings of their time in the form of myths; therefore, the influence that the myths and stories of the Shahnama have had on the various arts of Iran, especially the carpet weaving of this era, in their thousands of years of existence, is undeniable (Tanavoli, 1989, p. 21).
In this regard, the discovery of structures and relationships between society with visual and verbal symptoms in the system of Qajar carpets with the theme of Hoshangshah is important and in some positions and themes it is ambiguous, so the purpose of this study is seeking meaning of the texts and social messages hidden in the carpets of Hoshangshahi in order to answer this main question: what concepts of the elements of this carpet are influenced by the Qajar culture and society? in addition to the main question, other questions can be raised, the answers to which will provide the goals of this research as What was the artist's goal in creating Hoshangshahi carpets? And how has this carpet as a medium played its social role during the Qajar era? Therefore, there is a need to discover some of these ambiguities, among the necessities of conducting this research; especially since these types of carpets were used in the Qajar period with a special composition for political purposes and to gain the legitimacy and popularity of the Qajar kings among the general and special masses of people through the name and deeds of Hoshangshah. Therefore, in the analysis of Hoshangshahi rugs, one is faced with a wide range of meanings and concepts, which researchers have addressed in various fields and have obtained valuable results.
Conclusion
The findings of this study indicate that each of these signs, mysteries or myths, is a diagram of great and wonderful phenomena. Thus, the desire to create pictorial carpets of mythical kings during the Qajar period somehow paved the way for the use of myth as a linguistic-visual tool in art that is a powerful and well-known platform in the transmission and re-creation of ideas, culture and civilization and even the aspirations of the artist in the society are provided and by learning this movement, the formation and rehabilitation of the process of recognizing and receiving ideal and active ideologies in the heart of Qajar society has been well facilitated, the actions and the socio-political hegemony has led to the formation of discourse and people-centered systems in this art, and the designer through ideological-mythological grammar by providing the components of the needs of his society (which is the symbolism of the constitutional movement in the form of discourse legitimacy), has translated the present ideology of society according to the grammatical language of carpets and brought it back to the society.
On the other hand, an unrestricted discourse, under the control of the carpet theological level (inscription written by Hoshangshah), is easily formed and has provided a platform for the intellectualism, idealism and ideology of its society. Therefore, Hoshangshahi rugs with this structure and meaning have been made from the political events of their society. On the other hand, on a visual level, by imagining the throne of fog with the elements of the throne of historical and mythical kings, and especially placing fire in the crown of the throne, he has narrated the absence of evils and evil communities on the kingdom of Iran and through this a kind of pride and the fervor of nationalism, praise of the Iranian identity and idealism is seen in the characterization and planning of the rugs of the Hoshangshahi type, which is considered unique and pristine in its own kind.
Organizational behaviour, change and effectiveness. Corporate culture, Fine Arts
هدف پژوهش حاضر، بررسی عملکرد فضاهای شهری ویژۀ بانوان در تأمین امنیت کالبدی و اجتماعی در مقایسه با دیگر فضاهای عمومی شهری و یافتن تفاوتها در اولویتبندی شاخصهای شایان توجه در تأمین امنیت این دو گونه فضاست. به این منظور، دو نمونۀ مطالعاتی در شهر قزوین، شامل پارک بانوان نرگس و پارک عمومی ملت انتخاب شدند. روش پژوهش، توصیفیپیمایشی و ابزار گردآوری دادهها پرسشنامۀ محققساخته و مشاهده است. جامعۀ آماری این پژوهش، استفادهکنندگان پارک بانوان نرگس را شامل میشود که شناخت و تجربۀ حضور در هر دو فضای شهری موضوع پژوهش را داشتهاند. حجم نمونه، براساس الگوی کوکران 354 نفر بهروش نمونهگیری تصادفی ساده انتخاب گردید. تجزیه و تحلیل دادهها بهکمک آزمون تی دونمونهای مستقل در نرمافزار SPSS انجام گرفت. علاوهبر این، با توجه به ماهیت مقایسهای پژوهش، ترفند تحلیل شکاف جهت تنظیم پرسشنامه و تحلیل دادهها برگزیده شد. نتایج پژوهش، وجود شکاف میان عوامل کالبدی اجتماعی امنیت در فضاهای شهری ویژۀ بانوان و فضاهای عمومی شهری را آشکار میکند. این شکاف بهطور عمده در مؤلفۀ رؤیتپذیری و همچنین شاخصهایی همچون دسترسی، نورپردازی، خوانایی ورودیها و امکان برگزاری رویدادها استنتاج شده است.
Social sciences (General), Organizational behaviour, change and effectiveness. Corporate culture
This paper examines the effect of the political network of Chinese municipal leaders on the pricing of municipal corporate bonds. Using municipal leaders' working experience to measure the political network, we find that this network reduces the bond issuance yield spreads by improving the credit ratings of the issuer, the local government financing vehicle. The relationship between political networks and issuance yield spreads is strengthened in areas where financial markets and legal systems are less developed.
Anne-Birgitte Rohwedder, Jan Rohwedder, Lea Sørensen
Denne artikel undersøger, hvordan insideraktionsforskning kan bidrage til at opbygge organisatorisk forandringskapacitet eller med andre ord: Hvordan insideraktionsforskning kan bidrage til, at organisationen bliver i stand til at håndtere den aktuelle forandring, der knytter sig til aktionsforskningsprojektet, og samtidig opbygge kapacitet til at kunne håndtere fremtidige forandringer. Det særlige ved insideraktionsforskning er, at den akademiske forsker er fuldgyldigt medlem af den organisation, hvori forskningsprojektet er forankret. Artiklen er metodisk baseret på self-study-processer af forfatternes egne erfaringer som insideraktionsforskere i to projekter. Empiriske data består primært af forfatternes logbogsnoter, som er undersøgt gennem kollaborative analyseprocesser med afsæt i en teoretisk konceptualisering af insideraktionsforskningens første-, anden- og tredjepersons forskningspraksis (Coghlan & Shani, 2015; Reason & Torbert, 2001; Torbert & Taylor, 2007). I artiklen undersøges en række interventioner knyttet til insideraktionsforskningens første-, anden- og tredjepersons forskningspraksis, og der peges på en række mekanismer, der synes at tilskynde til opbygningen af organisatorisk forandringskapacitet. I litteraturen bliver insideraktionsforskning som selvstændig forskningstilgang ganske ofte beskrevet af outsiderforskere (forskere, som ikke selv har professionel erfaring fra den organisatoriske praksis, hvori forskningsprojektet er forankret) eller af insidere og outsidere i fællesskab (Reed & Procter, 1995). Denne artikel adskiller sig ved at være baseret på forfatternes egne empiriske erfaringer som insideraktionsforskere. Forfatterne opfordrer i forlængelse heraf andre insideraktionsforskere til at vurdere artiklens ”trustworthyness” i egne organisatoriske kontekster.
Organizational behaviour, change and effectiveness. Corporate culture
پژوهش حاضر با هدف شناسایی کانونی رابطه مؤلفههای اعتیاد موبایلی با میزان امنیت روانی و فرهنگی جوانان انجام پذیرفت. این پژوهش از نظر هدف کاربردی و از نظر ماهیت و روش، توصیفی از نوع همبستگی میباشد. جامعه هدف را کلیه دانشجویان دانشگاه آزاد همدان تشکیل میدهند که براساس آمار اخذ شده حدود 15000 نفر میباشند که از بین آنها براساس جدول کرجسی مورگان تعداد 300 نفر از طریق فراخوان اینترنتی بهصورت داوطلبانه و آنلاین با توجه به محدودیت تردد کرونا در پژوهش حاضر شرکت کردند. در ادامه برای جمعآوری دادههای موردنیاز از پرسشنامههای اعتیاد به تلفن همراه MPAS (1393)، امنیت روانی زارع و امینپور(1390) و پرسشنامه امنیت فرهنگی سرمد و همکاران(1390) بهرهبرداری شد. جهت تجزیه و تحلیل دادهها نیز از آزمون همبستگی پیرسون و همبستگی کانونیک استفاده شد. نتایج نشان داد؛ بین مولفههای اعتیاد موبایلی با امنیت روانی و فرهنگی رابطه معناداری وجود دارد(05/0 p<). همچنین با آگاهی از متغیر کانونی اعتیاد به موبایل، 64 درصد از تغییرات متغیر امنیت روانی (05/0 p<) و 66 درصد از تغییرات امنیت فرهنگی قابل پیشبینی بوده و رابطه کانونی برقرار است.
Social sciences (General), Organizational behaviour, change and effectiveness. Corporate culture