International Journal of Knowledge Processing Studies

Abstract This research aimed to create new knowledge on supply chain performance management in private banks., It was performed in two phases using a thematic analysis under the qualitative methodology and the correlational analysis technique using structural equation modeling in the quantitative part. The data was obtained from in-depth and semi-structured interviews with 12 managers of five private banks in Iran, based on purposeful sampling and continued until reaching theoretical saturation. The statistical population in the quantitative part included all 235 managers of Mellat Bank's branches, from which 144 were selected by simple random sampling. A researcher-made questionnaire was used to collect the data for the first part. The validity was assessed by factor analysis of the extracted components. A reliability value of 0.7 was obtained using Cronbach's alpha. The factor load of causal factors on the main category was 0.53, contextual factors on strategies were 0.54, intervening factors on strategies were 0.37, the main category on strategies was 0.47, and finally, the factor load of strategies on consequences was 0.71. A performance measurement system is a framework for measuring supply chain performance. To create knowledge in the supply chain based on research findings, one must first know what knowledge is important to maintain and how it can be maintained effectively.

Abstract This paper aims to generate a genealogy of Digital Transformation employing visualization techniques of scientific documents which will contribute theoretically to the research field and practically to the business. To reach the genealogy, three relations including ancestors, fathers, and descendants were defined. The ancestors and fathers were respectively determined by Reference Publication Year Spectroscopy (RPYS) and Citation analysis. Identification of the descendants was done through the bibliographic coupling of the documents published in the last two years. Visualization of the ancestors, fathers, and descendants was respectively done via fathers’ reference co-citation analysis, citation analysis on documents, and clustering of the bibliographic couplings using VosViewer. The analysis of each cluster identifies the topics of each relation of the genealogy. The analysis of the ancestors showed that the ancestors have studied theoretical foundations in digital transformation to a great extent. according to the clusters obtained for the fathers, Business models, Strategy and Innovation, Industry 4.0, and Servitization were the dominant topics of this relation. The identified topical clusters of descendants contained Digital Transformation Nature, the Influence of Digitalization on Business, Industry 4.0 and Sustainability, Digital Twins, and other Technologies in Industry 4.0, Digital Transformation, and Medicine, and Digital Transformation, Smart City, and The Effect on Financial and Economic Services showing the focus of latest research in specific technologies and innovation. The generated genealogy can be used to anticipate future trends and measures to be taken by businesses to realize digital transformation. 

Abstract The current research aims to study the effectiveness of artificial intelligence (AI) on sustainable and intelligent supply chain management in the food industry of East Azarbaijan province. The use of intelligent technologies and sustainability components based on organizational knowledge in the product supply chain not only improves the information level of the supply chain but also reduces the risk of product security problems, especially perishable products, by controlling the supply chain. Also, when a product security problem occurs, companies can help solve this problem through intelligentization and knowledge management. In this research, by comparing the regression rate, which is closer to the desired number of one, and the MSE rate of the obtained error value, which is very close to zero, in the best case, the results related to one hidden layer and two neurons were selected. Then, by calculating the sum of the weights of each layer and normalizing the weights, the importance of each input layer was determined. The research results showed that the order of importance of the independent variables in the neural network structure model is cultural factors, economic factors, environmental factors, and social factors. measures to be taken by businesses to realize digital transformation. 

Abstract This research is done in a mixed way (thematic analysis and data mining). In the first step, based on the qualitative method of thematic analysis, the effective factors of knowledge-based career path planning with a high-performance approach and data processing approach are identified. The investigated population is the managers and decision-makers of Zone Ten of Iran's gas transmission operations. 10 people were purposefully selected and interviewed. These people had more than 10 years of work experience in this organization. Using the six-step coding method, the interviews were entered into the MAXQDA software, and the effective factors on career path planning with a high-performance approach based on organizational knowledge were identified. Data was collected in SPSS format and used as input in WEKA software. The path of career development in this research was determined based on the dimensions of individual factors, organizational factors, empowerment strategies, management strategy, culture-building strategies, process development, and management processes. The operationalization of these factors in data mining showed that the situation of the predicted career path has significant differences from the reality of the organization. This procedure can be improved by periodic knowledge extraction and long-term performance evaluation. The obtained results showed that the knowledge-oriented career path emphasizes the empowerment of employees in a specialty. The level of knowledge participation of employees does not only mean that the employee shows useful behaviors for the organization within the organization, but also includes the attitude of people towards the company and recognizing their existential value in the company.

Abstract The availability of social capital is a valuable resource that supports employees in performing activities in organizations. Social capital has a close interaction with knowledge. The current research aimed at investigating the dynamics of the social capital database to gain economic, social, cultural, and environmental knowledge of the industrial development of Kangan City using a quantitative approach and a survey method. The data collection tool was a questionnaire. The statistical population was all the citizens of Kangan City over 25, 400 were selected as a sample and studied using the multi-stage cluster sampling method. The data were analyzed on two descriptive and inferential levels in SPSS software. The results show that the average of the social-environmental behavior variable is higher than the average and the average of the change in the consumption of cultural goods is lower than the average. Based on this, it can be said that the impact of industrial development on social-environmental behaviors and social capital (including the dimension of social trust) has been positive and the consumption of cultural goods has had no effect, or to be more precise, it has had a negative effect. Holding scientific meetings in order to increase social trust in the industrial area is one of the practical suggestions of this research, also culturalization of knowledge sharing and use of existing databases will strengthen social capital and create a competitive advantage of knowledge creation in the long term.

Abstract Numerous studies have shown that the quality of teacher's performance is a very important factor in determining the learning outcomes and achievements of the educational system. This research was conducted through qualitative text analysis using the pertinent research projects, scientific documents and formal educational, documents at national and international levels, as well as the related literature with the aim of identifying and explaining the role of professional competencies of special education teachers and trainers with a focus on students with intellectual disabilities. The results of the analysis have been presented in the form of a set of competencies required by teachers and trainers of intellectually disabled students, which include components such as positive and supportive interaction and creating hope in children, control of emotions and stress, attitude and skills for facilitation of affairs, ability in cultivating creativity, intelligent behavior with scientific vision and cultural awareness, designing empowerment activities and timely intervention programs, enriching, adapting and strengthening content and learning environment, as well as teaching skills needed for effective communication, problem-solving, safety, and health, and defending their individual and social rights. The presented arguments can be used in the field of educational policy-making, evaluation of professional competence, and empowerment of teachers and trainers in general and special education, as well as in the design and development of curricula for students with intellectual disabilities.