https://jkrs.tabrizu.ac.ir/ Journal of Knowledge-Research Studies en daily 1 Tue, 31 Mar 2026 00:00:00 +0330 Tue, 31 Mar 2026 00:00:00 +0330 https://jkrs.tabrizu.ac.ir/article_21366.html Purpose: This Editor’s Note aims to explain the transformation in the nature of contemporary warfare and to introduce the Knowledge Battle Model (KBM) as a conceptual framework for understanding conflicts in the era of cognitive, informational, and hybrid warfare. The model argues that modern conflicts increasingly extend beyond physical battlefields into a multilayered architecture of knowledge that includes data, information, knowledge, cognition, and meaning. Within this framework, the Knowledge Battle Model conceptualizes knowledge as both the arena and the instrument of strategic confrontation, while the ultimate objective of adversaries is often the production and expansion of ignorance within the target society through distortion of perception, disruption of analytical capacity, and manipulation of meaning.Methodology: The editorial adopts an analytical–interpretive approach grounded in the literature on cognitive warfare, information warfare, network-centric warfare, and hybrid warfare. By synthesizing major scholarly perspectives and examining conceptual developments in contemporary conflict studies, the study constructs the theoretical foundations of the Knowledge Battle Model (KBM). The framework conceptualizes conflict as a knowledge-centered continuum extending from data to meaning and analyzes the relationships among these layers in shaping strategic influence and informational dominance in networked conflicts.Findings: The analysis indicates that strategic power in the contemporary networked world is increasingly rooted in the control and management of knowledge processes. Control over data flows, the organization and interpretation of information, the production of analytical knowledge, the shaping of perceptions, and the construction of narratives constitute key dimensions of modern strategic competition. Within the Knowledge Battle Model (KBM), these dynamics are structured across five interconnected layers: data battle, information battle, knowledge battle, cognitive battle, and meaning battle. These layers together form an integrated architecture through which actors attempt to influence perception, guide decision-making processes, and shape collective interpretations in the target society.Conclusion: The study concludes that contemporary warfare should be understood as competition within the architecture of knowledge. The Knowledge Battle Model (KBM) demonstrates that success in modern cognitive and informational conflicts depends not only on military capabilities but also on the ability to dominate the knowledge cycle, from data acquisition to the construction of social meaning. Therefore, strengthening national resilience in the networked age requires reinforcing data governance, analytical knowledge production, cognitive literacy, and strategic narrative management.Value: The originality of the Knowledge Battle Model (KBM) lies in its integration of concepts from information science, knowledge studies, cognitive science, and security studies into a unified analytical framework. By conceptualizing warfare as a multilayered competition across the knowledge architecture, the model provides a novel perspective for analyzing information and cognitive conflicts and offers a conceptual basis for future interdisciplinary research and knowledge-centered policy development in the field of hybrid warfare. https://jkrs.tabrizu.ac.ir/article_19790.html Objective: The present study was conducted to identify the factors affecting the personal knowledge management of postgraduate students and to present the relevant model.Method: This study used a qualitative approach and grounded theory method to develop a model of personal knowledge management of postgraduate students. The participant population consisted of 28 experts in the field of knowledge management and personal knowledge management. The method was purposive sampling and data were collected based on in-depth interviews. Data analysis was based on open, axial and selective coding level analysis and using MAXQDA software.Findings: Data analysis showed that personal knowledge management consists of six dimensions and 27 categories. 27 dimensions were extracted, including: "Information identification, knowledge organization, technologies, skills, interaction, motivation, documentation of experiences, software, efficient system, culture, economic situation, educational background, development of guidelines, integration of personal knowledge management tools into university curricula, digital literacy training, creation of collaborative learning environments, improvement of productivity, increase of effectiveness, reduction of rework, improvement of quality of education and research, development of innovation and creativity, increase of cooperation and knowledge sharing, lack of time, inappropriate work environment, lack of motivation, unfamiliarity with methods, lack of trust." Conclusion: Based on the presented model, for the successful establishment of personal knowledge management in universities, it is necessary to pay special attention to all the identified dimensions. Universities can improve the quality of education and research and increase student satisfaction by implementing correct policies. https://jkrs.tabrizu.ac.ir/article_20284.html Purpose: This study aimed to validate a conceptual model for retaining academic human capital in the context of elite migration, based on the perspectives of talented postgraduate students at the University of Tabriz.Methodology: The research was applied in nature and conducted through a descriptive–survey design. The statistical population comprised 217 talented postgraduate students, selected using stratified random sampling. Data were collected using a 65-item questionnaire, and analyzed with SmartPLS 3 software. Reliability and validity were confirmed through Cronbach’s alpha, composite reliability, and convergent/divergent validity indices.Findings: The proposed model demonstrated acceptable reliability and validity, and most hypothesized relationships were supported. In the final model, motivational–psychological factors (academic satisfaction, sense of belonging, study–life balance), social–supportive factors (sense of integration into the academic community, strong peer interactions), and institutional policies (employment support, positive organizational culture) significantly reduced the intention to migrate. Conversely, managerial–executive weaknesses, structural–economic instability, and socio-political factors emerged as major push factors. Importantly, all indicators related to “effective teaching and learning” and several intrinsic motivational and infrastructural items were eliminated from the final model.Conclusion: Findings indicate that, unlike much of the Western literature, educational and instructional factors are not decisive in retaining talented students in Iran. Instead, economic, managerial, and socio-political factors play the dominant role in shaping migration intentions. Value: This study is the first systematic attempt in Iran to validate a comprehensive indigenous model of academic talent retention using a combined meta-synthesis and SEM approach. https://jkrs.tabrizu.ac.ir/article_20646.html Purpose: The present study aimed to evaluate the performance of information security management in government organizations located in Kerman city based on the ISO/IEC 27002 standard.Methods: The research method used was descriptive-survey, and a standard questionnaire was utilized to collect information. The statistical population of the study included 176 security officers, information technology experts, and senior and middle managers working in government organizations located in Kerman city. The sample size was determined using the Cochran formula, resulting in 120 participants.Findings: The study's findings indicate that, based on the rank average, the indicators of information security management in government organizations in Kerman are prioritized as follows: Organizational Asset Security Management (6.95), Organizational Information Security Management (6.49), Business Continuity Management (6.31), Operations and Communications Security Management (5.86), Acquisition, Development, Maintenance, and Maintenance Management (5.83), and Compliance Management (4.68). The results suggest that the average score of information security management performance in government organizations in Kerman city, based on the ISO/IEC 27002 standard, is higher than expected, as evidenced by the p-value of 0.000, which is less than the significance level of the study (0.05).Conclusion: The results support the need for developing an information security policy document for organizations. It is essential for the general and specialized responsibilities of information security management to be clearly communicated to all employees. Information security incident reports should be prepared in all organizational departments, and security procedures and policies of other organizations should be reviewed and adapted to organizational programs. https://jkrs.tabrizu.ac.ir/article_20687.html Purpose: Higher education systems in recent decades have faced rapid technological, digital, and social transformations, which have introduced the concept of fifth-generation universities as a new horizon of development. Within this context, the purpose of this study is to model the process of synergy between knowledge management and generative artificial intelligence, and to extract the key components, mechanisms, and outcomes that drive the transformation of higher education,Methodlogy: The study employed a grounded theory approach. Data were collected through semi-structured interviews with 20 faculty members, administrators, and policy experts from universities, as well as by analyzing official documents and reports. Interviews were transcribed and analyzed through open, axial, and selective coding. Sampling was conducted purposefully and continued until theoretical saturation was achieved. Qualitative data analysis software was used to organize the data and identify categories,Findlings: The analysis led to the identification of five main categories: (1) digital transformation and technological infrastructure, (2) research innovation and data-driven scholarship, (3) personalized and flexible learning, (4) knowledge-oriented culture and human resource empowerment, and (5) intelligent policymaking and institutional support. These categories interact to form a conceptual model of knowledge management–AI synergy,Conclusion: he structured integration of knowledge management and generative artificial intelligence enhances scientific innovation, improves the quality of teaching and learning, accelerates knowledge commercialization, and strengthens the social and international impact of universities,Value: By proposing a context-specific and data-driven conceptual framework, this study provides practical insights for higher education leaders and policymakers in advancing toward fifth-generation universities. https://jkrs.tabrizu.ac.ir/article_20846.html Purpose: The role of knowledge and specialized human resources is undeniable for organizational success. The education sector, as a mega-organization, is no exception to this rule, as evidenced by the emphasis on the development of general, professional, and specialized competencies in teacher ranking regulations. This study primarily aims to analyze the relationship between knowledge management (KM) and organizational creativity (OC), considering professional development (PD) as a mediating variable.Methodlogy: This applied research employed a descriptive-correlational design and used structural equation modeling (SEM). The population comprised 140 education staff in Khorramabad City. A stratified random sampling method was employed, and 103 participants selected based on the Krejcie and Morgan table. Data were collected via questionnaires and analyzed using SPSS and SmartPLS software.Findlings: KM had a significant positive effect on OC (β = 0.357). KM significantly and positively influenced PD (β = 0.531). PD demonstrated a significant positive impact on OC (β = 0.241).Conclusion: KM significantly enhances OC both directly and indirectly, with a total effect of β = 0.485, with PD serving as a mediator.Value: Organizational creativity is fostered by (1) converting employees’ tacit knowledge and experiences into explicit knowledge for organizational dissemination, (2) aligning knowledge-enhancement programs with employees’ professional needs. These mechanisms jointly enable PD and subsequent OC. https://jkrs.tabrizu.ac.ir/article_20859.html Purpose: The purpose of this study is to analyze the influence of social capital and social cognition on the willingness of employees at the National Museum of Iran to share knowledge.Method: This applied study employed a descriptive-survey methodology. The statistical population consisted of all employees of the National Museum of Iran in 2025. Using Cochran’s formula and a simple random sampling technique, 184 valid questionnaires were obtained. Data were collected through a composite questionnaire designed to measure dimensions of social capital, social cognition, and knowledge sharing. The validity and reliability of the instrument were confirmed through confirmatory factor analysis and Cronbach’s alpha. Data analysis was conducted using Pearson correlation tests and structural equation modeling in LISREL software.Findings: The results indicated that all three dimensions of social capital have a positive and significant effect on knowledge sharing. In addition, the dimensions of social cognition including social goals, self-efficacy, and attributions also demonstrated a positive and significant impact on employees’ willingness to share knowledge. Furthermore, the model fit indices confirmed an optimal fit for the proposed research model.Conclusion: Social capital, by fostering communication networks and trust, together with social cognition, by reinforcing individual beliefs and social goals, jointly provides a complementary foundation for knowledge sharing. Accordingly, managers of museums and cultural organizations can enhance knowledge flow by strengthening trust, increasing self-efficacy, establishing shared goals, and managing employees’ emotions. https://jkrs.tabrizu.ac.ir/article_20858.html Management Information Systems (MIS)play a critical role in organizational advancement by improving decision-making and operational efficiency.However, the transfer of data within these systems raises significant intellectual property rights (IPR) concerns that require legal protection for data producers and owners. This study investigates the current state of IPR in data transfer, its governance implications, legal frameworks, and secure transfer strategies.Using a qualitative approach with thematic analysis, the research conducted semi-structured interviews with nine IPR and MIS experts through snowball sampling until theoretical saturation was achieved. Validation methods included participant review and coding agreement coefficients.Findings reveal that while Iranian laws like the Copyright Law and Trade Secrets Protection Law represent initial steps in IPR protection, significant challenges remain. These include unclear data ownership boundaries, sharing limitations, lack of professional awareness, and inadequate technical infrastructure. IPR impacts organizational governance through effects on data ownership, innovation, competitive advantage, and decision-making processes, with additional complexities introduced by global privacy regulations like GDPR and CCPA.The study proposes an IPR framework incorporating policies, technical/organizational controls, monitoring mechanisms, and emerging technologies such as blockchain and homomorphic encryption. Key strategies for secure data transfer include: establishing formal sharing agreements, implementing data anonymization techniques, developing access control systems, conducting awareness programs, and enhancing security measures.The research concludes that effective IPR protection in MIS requires a multidimensional approach addressing legal, technical, and educational aspects. Comprehensive legal reforms, infrastructure improvements, and user education are essential for organizations to safely leverage data while protecting IPR, ultimately leading to enhanced governance and innovation capacity. https://jkrs.tabrizu.ac.ir/article_20347.html This study offers a comprehensive scientometric analysis of Sports Management research, focusing on mapping key concepts and the thematic development of the field. Utilizing a dataset of over 22,000 English-only documents (article and review article) from Scopus, the study examines the evolution of core themes, keyword trends, and emerging topics within sports management. Advanced scientometric tools, VOSviewer and Bibliometrix R Package were employed to conduct keyword analysis, co-occurrence mapping, and thematic clustering. The results reveal six main research domains within the field focus on global sustainability, rehabilitation, general health, injury management, leisure, and cardiovascular and pediatric-related topics. This analysis highlights the interdisciplinary nature of sports management and identifies thematic areas that are anticipated to shape future research. Insights from this study are expected to inform academics and practitioners by providing a structured understanding of how sports management has evolved over time.This study offers a comprehensive scientometric analysis of Sports Management research, focusing on mapping key concepts and the thematic development of the field. Utilizing a dataset of over 22,000 English-only documents (article and review article) from Scopus, the study examines the evolution of core themes, keyword trends, and emerging topics within sports management. Advanced scientometric tools, VOSviewer and Bibliometrix R Package were employed to conduct keyword analysis, co-occurrence mapping, and thematic clustering. The results reveal six main research domains within the field focus on global sustainability, rehabilitation, general health, injury management, leisure, and cardiovascular and pediatric-related topics. https://jkrs.tabrizu.ac.ir/article_21048.html Purpose: To understand the role of perceived information overload and information seeking anxiety in predicting information avoidance among graduate students at Shiraz University in the academic year 1402-1403.Methodlogy: This study employs a quantitative and descriptive-correlational approach in its fundamental objective. The research population consisted of all graduate students at Shiraz University during the academic year 1402-1403. The sample was calculated using a random sampling method and based on the Cochran table, resulting in a sample size of 235 people. The research tool was a researcher-made questionnaire that was confirmed by examining Cronbach's alpha coefficient and composite reliability coefficient and the validity of the questionnaire through convergent and divergent validity, and the entire construct was also confirmed through factor analysis.Findlings: Information seeking anxiety on perceived information overload (β=.805, p<.001); perceived information overload on information avoidance (β=.235, p=.001); Information seeking anxiety indirectly affects and can predict information avoidance, and perceived information overload mediates this relationship (β=.189, p<.001).Conclusion: The results showed that information-seeking anxiety, perceived information overload, and information avoidance were related. Perceived information overload is predicted by information-seeking anxiety; information avoidance is predicted by perceived information overload; information avoidance is predicted by information-seeking anxiety with the mediation of perceived information overload.Value: Given the importance of identifying factors affecting information avoidance, it will increase the awareness of librarians and information literacy specialists and help information system designers to design optimal systems to reduce perceived information overload and information avoidance. https://jkrs.tabrizu.ac.ir/article_21049.html Network governance is a relatively new type of governance that is able to resolve many of the issues and complexities that arise in governance due to the existence of existing hierarchical structures. Therefore, the present study attempted to identify the factors affecting network governance in the country's banking system. Eight factors were extracted based on the previous factors, which included economic, managerial, legal, infrastructure, structural, technological, behavioral, and mechanistic factors. These factors were measured using a researcher-made questionnaire that was distributed to employees and managers of Sepah Bank across the country and analyzed using the structural equation model. The results showed that all factors were significant at a 95% confidence level and 31 indicators under these 8 factors also had high impact coefficients, which were also evaluated using factor loading analysis to evaluate the validity of these factors. The results show that all eight economic, managerial, legal, infrastructure, structural, technological, and behavioral factors are determining factors affecting network governance in the country's banking system. Network governance is a relatively new type of governance that is capable of resolving many of the problems and complexities that arise in governance due to the existence of existing hierarchical structures. Therefore, the present study attempted to identify the factors affecting network governance in the country's banking system. https://jkrs.tabrizu.ac.ir/article_21050.html Purpose: One of the major challenges undermining the scientific credibility of universities and the validity of research findings is the growing prevalence of research misconduct . The main purpose of the present study was to assess and compare the university professors’ awareness of research misconduct.Methodology: A descriptive causal-comparative research design was utilized. The study population consisted of all faculty members at Shahid Chamran University of Ahvaz. A sample of 275 assistant –to- full professors participated in the study and completed the Research Misconduct Scale (RMS).Findings: Results showed that faculty members with training in academic integrity performed considerably better in identifying research misconduct compared to their colleagues without such training. There was no significant difference between faculty members in various disciplines (Humanities and non-Humanities) in terms of their ability to identify research misconduct. Analyses also revealed that assistant and associate professors outperformed full professors in this regard.Discussion and Conclusion: The importance of institutionalizing training in research integrity in academic settings is noted. Lack of a significant difference among disciplines suggests that ethical awareness in research is influenced more by experience and education than by disciplinary fields. The findings highlighted greater sensitivity or more up-to-date awareness of assistant and associate professors toward research misconduct.Value: This study examined and compared the faculty members’ ability to identify research misconduct. The use of a scenario-based tool (RMS) enhanced the validity of the results and allowed for a more realistic assessment of the participants’ knowledge of research misconduct. https://jkrs.tabrizu.ac.ir/article_21051.html Objective: This study aimed to systematically review the role of generative artificial intelligence (AI) in transforming organizational knowledge management and to propose an integrated framework based on an analysis of published literature.Method: This study was conducted as a systematic review with qualitative content analysis of articles published in reputable databases between 2018 and 2024. The search was performed following the PRISMA protocol using standardized keywords. From an initial pool of 257 studies, 72 relevant articles were selected based on inclusion and exclusion criteria and underwent a multi-stage analytical process.Findings: Data analysis revealed that generative AI has the potential to transform organizational knowledge management through four key mechanisms: 1) automated knowledge generation, 2) intelligent knowledge sharing, 3) extraction of tacit knowledge, and 4) personalization of knowledge processes. The most significant identified challenges fell into three categories: a) technical and validation issues (e.g., model hallucination, low accuracy, and the black box problem), b) ethical and security considerations (e.g., bias, privacy violations, and accountability), and c) organizational and human barriers (e.g., resistance to change and the need for skill development).Conclusion: Generative AI serves as a transformative technology with the potential to redefine organizational knowledge management ecosystems. However, its success requires adapting and adopting an integrated approach that simultaneously addresses technical, human, and organizational dimensions. The proposed framework from this research can act as a roadmap for researchers and managers to implement this technology responsibly and effectively. https://jkrs.tabrizu.ac.ir/article_21139.html Purpose: The rapid integration of artificial intelligence (AI) technologies in higher education offers significant opportunities but also introduces technostress among university faculty. This study qualitatively explores faculty members’ lived experiences of technostress in the context of AI-based learning environments.Methodlogy: This qualitative study employed an interpretive phenomenological approach. Twenty-one faculty members from the University of Tabriz and Farhangian University of Tabriz were purposefully selected. Data were collected through semi-structured interviews and analyzed using Colaizzi’s seven-step method. The trustworthiness of findings was ensured through the criteria of credibility, transferability, dependability, and confirmability.Findlings: The data analysis revealed four main themes: antecedents of technostress (individual–psychological factors, educational–organizational conditions, the nature of technology, and environmental–social norms); consequences and impacts (weakened teaching–research performance, threats to professional quality of life, and psychological challenges); professional growth and adaptation of faculty in the face of technostress (teaching innovation, development of digital skills, enhanced research opportunities, and increased flexibility); and management strategies (individual strategies, organizational support, and policy and planning measures).Conclusion: Despite differing views on the positive or negative nature of technostress, this phenomenon can influence faculty members’ mental health, professional quality of life, and academic productivity. At the same time, beyond its negative effects, it may also provide opportunities for professional growth, instructional innovation, and the development of digital skills.Value: This study contributes to a deeper understanding of the interplay between emerging technologies, organizational environments, and faculty well-being, offering practical strategies to empower faculty members and design digital learning environments. https://jkrs.tabrizu.ac.ir/article_21140.html Purpose: To develop a comprehensive framework for the body of knowledge on sustainable packaging adoption in the Iranian cosmetics and personal care industry, focusing on identifying the key dimensions and components that facilitate the acceptance and implementation of green packaging.Methodology: An exploratory mixed-methods approach combined qualitative and quantitative phases. The qualitative stage included a systematic review of 92 articles (2000-2025) and a fuzzy Delphi study with industry experts to define priorities. In the quantitative stage, a Delphi-based questionnaire was administered to senior managers of 194 companies, and data from 140 respondents were analyzed using structural equation modeling to validate and rank the dimensions and components.Findlings: The findings revealed that technological and environmental dimensions most strongly facilitate knowledge flow. Packaging innovations and the shift to biodegradable materials ranked highest, followed by sustainable design features such as full recyclability and circular design. Although the economic dimension, including cost-benefit analysis and return on investment, was influential, it was less prominent than the technological and environmental factors. Consumer green attitudes and managerial commitment also exerted supportive and significant effects.Conclusion: The proposed framework enables prioritization and focused attention on critical factors in sustainable packaging development and serves as a decision-making guide for managers and policymakers.Value: The framework provides a structured approach to institutionalizing sustainable strategies within the cosmetics and personal care sector and enhances scientific clarity in identifying essential components and dimensions. https://jkrs.tabrizu.ac.ir/article_21176.html Purpose: This research aimed to design a comprehensive conceptual model for digital information dissemination services within the National Library and Archives of Iran (NLAI (, with a specific focus on enhancing the efficiency and improving user access to information resources.Methodology: A mixed-methods approach was employed in this study. In the first phase, a meta-synthesis method, coupled with a systematic review of prior research, was utilized to identify the key components of digital information dissemination services. In the second phase, to validate the proposed model and examine the relationships between its components, a survey-analytical method and the Partial Least Squares technique were applied. The statistical sample comprised 105 experts in information science and knowledge studies, as well as users of the NLAI.Findings: The meta-synthesis yielded seven main categories and thirty-four indicators for digital information dissemination services. The results of the PLS analysis indicated that all identified components were validated, and the proposed model demonstrated a good fit with significant and strong relationships between its variables.Conclusion: The final model of this research provides a comprehensive framework for delivering effective and personalized digital information dissemination services within NLAI. By emphasizing components such as user research profiles, digital and digitized information resources, efficient collection development, service standardization, diverse information dissemination tools, and continuous evaluation, this model can significantly contribute to improving user access to information and increasing their satisfaction levels. The proposed model serves as an efficient management tool for enhancing digital information dissemination services within the NLAI. https://jkrs.tabrizu.ac.ir/article_21365.html The present study was conducted with the aim of preparing a fuzzy mapping of factors affecting the increase of students' information literacy.This research is practical in terms of purpose and exploratory in terms of data collection.This research is applied in terms of its purpose and exploratory in terms of its data collection method. The statistical population of the present study was students, especially students in the field of information and communication technology, from whom 20 people were selected as sample members using purposive sampling method and based on the principle of theoretical saturation.The data collection tool in the qualitative part of the research is an interview and in the quantitative part is a questionnaire.To analyze the data in the qualitative part, the theme analysis approach and coding method using Maxqda software and in the quantitative part the fuzzy cognitive map method were used.The validity of the research interview was confirmed using the relative content validity method and its reliability was confirmed using the intra-coder and inter-coder reliability method and Cohen's kappa test.Also, the validity and reliability of the research questionnaire was measured by content and retest validity.The findings of the research show that the most important factors affecting the increase of students' information literacy are creating awareness and understanding the importance of information literacy in academic and research success, independent external motivations, the existence of appropriate policies at the university level to promote information literacy, having advanced information and communication technology devices and the level of trust in the Internet. https://jkrs.tabrizu.ac.ir/article_21378.html Objective:This research aims to develop a data-driven model to automatically identify the subject of a book using machine learning algorithms and text mining techniques. The study utilizes a structured dataset containing book titles, summaries, and subjects. The ultimate goal is to build a model that is technically accurate and practical for real-world applications like book recommendation engines and digital reading platforms.Method:Data were collected through web scraping and crawling from reliable sources including Goodreads, Ketabrah, and Fidibo. The raw data went through preprocessing steps including removal of special characters, morphological stemming, and stop-word elimination. Feature extraction was performed on the cleaned summaries using the Tf-idf statistic. Various statistical models, such as Logistic Regression and Support Vector Machines (SVM), were applied to discover hidden relationships between the book’s subject and its summary.Findings:Using an 80-20% split for training and testing, Logistic Regression, Linear SVM, and RBF SVM achieved accuracies of 80%, 79%, and 79.7%, respectively. With a 90-10% split, the accuracies were 82.2%, 78.6%, and 79.3%, respectively.Conclusion:Results indicate that Logistic Regression provides the best prediction accuracy. Its fast training and prediction times make it a suitable choice for textual analysis and multi-class classification tasks related to book subject identification.