International Journal of Knowledge Processing Studies

Online ISSN: 2783-4611

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Volume 2 (2022)
Volume 1 (2021)

International Journal of Knowledge Processing Studies

ISO Abbreviation:

Int. J. Knowl. Process. Stud.

Start Publication: December 2021

Acceptance Rate: 44%

Submission to Initial Assessment: 5 days 

Submission to Final Decision: 90 days

No. of Volumes: 3

No. of Issues: 8

No. of Articles: 57

No. of Indexing Databases: 6

No. of Reviewers: 38

No. of Contributors: 145

Contributing Countries: 2

Article View: 3,712

PDF Download: 4,310

View Per Article: 65.12

PDF Download Per Article: 75.61

The International Journal of Knowledge Processing Studies (IJKPS) is an academic, double-blinded peer review, open-access, and scientific-research journal published quarterly that is being published by Ayande Amoozan -e- ATA (AAA) in collaboration with Iran Knowledge Management Association (IKMA). IJKPS publishes original and state-of-the-art research in knowledge and information processing and management concerning theory, methods, or applications in a range of domains, including knowledge extraction, knowledge-based systems, data and information processing, data mining, big data, data-driven decision-making, ontologies, knowledge engineering, human decision simulation, process-oriented knowledge management, knowledge systems interoperability, sharing and application of knowledge, artificial agents, data engineering, knowledge discovery, data visualization, human-computer interaction, social media analysis, and social computing. We are calling for papers in all the above disciplines for the coming issues.

Journal Information:

  • The International Journal of Knowledge Processing Studies (IJKPS) collaborates with the Iran Knowledge Management Association (IKMA).
  • The flow chart of the article reviewing and acceptance process is described in the Peer Review Process.
  • Rank in 2021 in the Ministry of Science, Research and Technology of Iran: B
  • Intellectual Property Rights (IPRs): All intellectual property rights of the articles belong to the author.
  • This publication is subject to the rules of the Ethics Committee for Publication (COPE) and follows the executive regulations of the Law on Prevention and Combating Fraud in Scientific Works.
  • Type of publishable articles: Scientific research articles
  • Release Sequence: Quarterly
  • Average article review time: 8-10 weeks
  • Plagiarism: iThenticate is used to prevent plagiarism.
  • Access to articles: Free
  • If the article has a sponsor or provider of research credibility, it is mandatory to be included by the author.
  • Country of Publication: Iran
  • Publisher: Ayande Amoozan -e-ATA Company
  • Specialty: information science, computer science, industrial engineering, and related areas.
  • Release Start: Winter, 2021
  • Article review and acceptance fee: Free
  • Type of review: Double-blinded peer review (2 reviewers)
  • Publish Fee: Iranian authors (15.000.000 Rials) and no fee for foreign authors
  • Initial review period: one week
  • Format: Electronic
  • Electronic ISSN: 2783-4611
  • Email: knowlegeprocessingstudies2020[AT]gmail. com.

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Academia: https://independent.academia.edu/TheInternationalJournalofKnowledgeProcessingStudiesIJKPS

Intelligent agents
Exploring the Questions and Challenges of Artificial Intelligence Generative Models in Europe

Marco Scialdone; Maria Vittoria La Rosa

Volume 3, Issue 3 , July 2023

Abstract
  The development and use of artificial intelligence (AI) systems are raising concerns among experts and intellectuals, including Elon Musk, Steve Wozniak, and Yuval Noah Harari. In a letter signed by multiple individuals from various fields, they call for a halt to the development of advanced AI systems, ...  Read More
Knowledge management
Organizational Embeddedness Model Based on Knowledge Application

Noorolla Majidian Dehkordi; Mohammadreza Dalvi Esfahan; Sayyed Rasool Aghadavood

Volume 3, Issue 3 , July 2023, Pages 1-16

https://doi.org/10.22034/kps.2023.365327.1060

Abstract
  This fundamental-applied research aims to design and test the organizational embeddedness model based on the knowledge application with a mixed approach using grounded theory (GT). In the qualitative section, data is derived from in-depth interviews conducted with 25 high-ranking and experienced managers ...  Read More
Big data
Presenting a Data-Driven Value Creation Model for Insurers with an Interpretive Structural Approach

Mona Abrofarakh; Kambiz Shahroodi; Narges Delafrooz

Volume 3, Issue 3 , July 2023, Pages 17-28

https://doi.org/10.22034/kps.2023.374799.1079

Abstract
  This research aims to design a data-driven value-creation model for insurance policyholders. It uses a mixed methodology (qualitative-quantitative). The statistical population was university professors in insurance and marketing and senior managers of Iran's insurance industry, including Asia Insurance, ...  Read More
Data mining
Intelligent Modeling of Managers' Data-Driven Decisions in Empowering Human Resources

Seyed Rohollah Abbasi; Abdul Khalegh Gholami Chenaristan Alia; Foad Makvandi

Volume 3, Issue 3 , July 2023, Pages 29-44

https://doi.org/10.22034/kps.2023.383192.1094

Abstract
  This study aimed to design a data-driven decision-making model for managers in the direction of empowering human resources in the police headquarter of Kohgiluyeh and Boyer-Ahmad province.  Increasing amount of information and rapid changes in the environment and the need to create continuous communication ...  Read More
Knowledge Extraction
Taking the Long View of Cluster Ecosystem Model Case study: Iranian Native Search Engine

sahar kousari; Alireza Yari

Volume 3, Issue 3 , July 2023, Pages 45-63

https://doi.org/10.22034/kps.2023.367232.1070

Abstract
  Innovation and economic growth is mainly formed by a unique combination of the companies that are interconnected in the field of knowledge and process. Such connections can be based on different goals among the service provider companies while two common methods for this objective include the cluster ...  Read More
Knowledge Extraction
Metacognitive Knowledge Raising Via Explicit Reading Strategy Instruction in Flipped Instructional Environment: A Mixed-Method Study Focusing on EFL Learners' Reading Skill Development

Zahra Sadat Hadj Seyed Hossein Khani Taher Kermani; Neda Fatehi Rad; Valeh Jalali

Volume 3, Issue 3 , July 2023, Pages 64-78

https://doi.org/10.22034/kps.2023.370445.1074

Abstract
  Research in second language learning has identified the absence of metacognition awareness among learners as one of the major problems contributing to students' inability to develop reading skills. This mixed-method study sought to investigate the impact of metacognitive awareness raising via explicit ...  Read More
Knowledge Extraction
Presenting a Knowledge-Based Multi-Level Model for the Evaluation of Human Resource Management in the Automotive Industry

Ali Asghar Rajabi; Asadollah Mehrara; Mehrdad Matani

Volume 3, Issue 3 , July 2023, Pages 79-92

https://doi.org/10.22034/kps.2023.376524.1083

Abstract
  This research aimed to provide a model for evaluating human resources management in the automotive industry. This applied research was conducted with an exploratory and mixed nature (qualitative-quantitative) using the seven-step hybrid method of Sandelowski and Barroso (2007). Furthermore, to enrich ...  Read More
Knowledge Extraction
The Assessment of the Effect of Query Expansion on Improving the Performance of Scientific Texts Retrieval in Persian

Ahmadreza Varnaseri; Maryam Nakhoda; Sareh Karimi

Volume 1, Issue 1 , December 2021, , Pages 38-51

https://doi.org/10.22034/kps.2021.141924

Abstract
  Purpose: This study aims to determine the effect of query expansion on scientific texts retrieval in Persian.Method: The present study was conducted using a quasi-experimental method. The results are obtained by analyzing 40 initial and expanded queries of postgraduate students in the Faculty of Management, ...  Read More
Knowledge management
Impact of Internet of Things Governance on Productivity in Agriculture Sector with AI-aided Agriculture Knowledge Managers

Mila Malekolkalami; Mohammad Hassanzadeh

Volume 1, Issue 1 , December 2021, , Pages 1-23

https://doi.org/10.22034/kps.2021.141922

Abstract
  The use of IoT in intelligent agriculture is now very common among farmers, and with the use of drones and sensors, advanced agriculture is rapidly becoming a growing global standard. The use of IoT requires infrastructure that is defined within an IoT governance framework. This paper proposes new approaches ...  Read More
A Knowledge Map of Knowledge Engineering Scientific Products from 2011 to 2021 on Web of Science: Scientometrics

AhmadReza Varnaseri; Mahnaz Tayfhsan; Molouk Sadadat Hosseini Beheshti

Volume 2, Issue 1 , February 2022, , Pages 55-73

https://doi.org/10.22034/kps.2022.145408

Abstract
  Drawing a knowledge map of scientific productivity in the field of knowledge engineering in the 2011-2021 period on Web of Science. This was an applied descriptive-analytical study using a quantitative research design. The research population consisted of all scientific products in the field of knowledge ...  Read More
Proposing a Knowledge Organization Model for Iranian Website Content Based on Existing Metadata Frameworks

Seyedeh Sara Moosavi; Sepideh Ciruskabiri; Ahmadreza Varnaseri

Volume 2, Issue 3 , June 2022, , Pages 47-57

https://doi.org/10.22034/kps.2022.344828.1023

Abstract
  This study aims to create an integrated metadata system to organize information and content knowledge of Iranian websites to protect, represent, access, retrieve and provide a suitable metadata model for archiving such resources in the country. This applied research was done by a documentary (library) ...  Read More
The Impact of Knowledge and Job Success of Iranian Employees Based on Self-Esteem and Organizational Stress (Case Study of the Ministry of Sports)

Mohammad saeid Kiani; Leila Nazari; Leila Shahbazpour

Volume 2, Issue 4 , September 2022, , Pages 1-11

https://doi.org/10.22034/kps.2022.349370.1028

Abstract
  This study aimed to assess the mediating role of flattery in the relationship between self-esteem and stress and job success from the point of view of the Ministry of Sport and Youth Experts. It is applied research in terms of classifying research by purpose, it is descriptive-non-experimental in terms ...  Read More
Knowledge management
Creating New Knowledge Based on Supply Chain Performance Management in Private Banks

Farshid Bigdali; Mohammadreza Dalvi Esfahan; Saeed Aghasi

Articles in Press, Accepted Manuscript, Available Online from 07 May 2023

https://doi.org/10.22034/kps.2023.374824.1080

Abstract
  The research aimed to create new knowledge on supply chain performance management in private banks. In two phases, it was performed using the qualitative method of thematic analysis and the quantitative part through the correlation method using the structural equation model technique. The data was derived ...  Read More
Knowledge management
Providing an Information System Based on Virtual Currency Data in the Banking Industry

Alireza Aghanoori Koupaei; Ozhan Karimi; Shahram Hashemnia

Articles in Press, Accepted Manuscript, Available Online from 07 May 2023

https://doi.org/10.22034/kps.2023.377705.1086

Abstract
  This research aims to provide an information system based on virtual currency data in the banking industry. Data is one of the most significant assets of the organization. This research is applied in terms of purpose. The population includes university professors in marketing and experts, including managers ...  Read More
Knowledge management
Designing a Knowledge-Based Human Resource Management Model in Voluntary Organizations

Mohammad Ali Alimardani; Mehdi Mortazavi; Abolfazl Kazemi

Articles in Press, Accepted Manuscript, Available Online from 07 May 2023

https://doi.org/10.22034/kps.2023.382392.1093

Abstract
  This research has addressed the modeling of knowledge-based human resource management with a qualitative approach in voluntary organizations. According to the theory of resource-based perspective, human resources can be considered rare Aand non-repeatable assets that provide a sustainable competitive ...  Read More
Knowledge management
The Dynamics of the Social Capital Database due to Economic, Social, Cultural, and Environmental Knowledge Acquisition of the Industrial Development of Kangan

Akbar Tahmasebi; Ismail Jahanbakhsh; Mansour Haghighatian

Articles in Press, Accepted Manuscript, Available Online from 25 May 2023

https://doi.org/10.22034/kps.2023.383040.1097

Abstract
  The availability of social capital is a valuable resource that supports employees in performing activities in organizations. Social capital is towards knowledge and has a close interaction with it. The current research has been carried out with the aim of the dynamics of the social capital database to ...  Read More
Knowledge management
Supply Chain Performance Management Modeling Based on Information Dashboards in Private Banks

Farshid Bigdali; Mohammadreza Dalvi Esfahan; Saeed Aghasi

Articles in Press, Accepted Manuscript, Available Online from 25 May 2023

https://doi.org/10.22034/kps.2023.383298.1095

Abstract
  The purpose of this research is to model supply chain performance management based on information dashboards in private banks. The data was derived from in-depth and semi-structured interviews with 12 managers of five private banks in the country, which were based on purposeful sampling and continued ...  Read More
Data mining
Knowledge-Based Organizational Happiness Modeling with a Data-Driven Approach: Grounded Theory and Data Mining

Taimour Jafarian Dehkordi JafarianDehkordi; Mohammadreza Dalvi Esfahan; Saeed Aghasi

Articles in Press, Accepted Manuscript, Available Online from 25 May 2023

https://doi.org/10.22034/kps.2023.383310.1096

Abstract
  Purpose: The current research was conducted by designing the knowledge-based organizational satisfaction modeling with a data-driven approach using a qualitative and quantitative method of grounded theory and data mining techniques.methods: The data was taken from in-depth and semi-structured interviews ...  Read More
Knowledge Extraction
A Future Research Study on Data-Oriented Strategic Training: Automotive Industry

Mohammad Ali Borjikhani; Esmat Masoudi; Zahra Taleb; Nayereh Shah Mohammadi

Articles in Press, Accepted Manuscript, Available Online from 25 May 2023

https://doi.org/10.22034/kps.2023.384555.1099

Abstract
  This research aims to design a data-oriented strategic training with the future research approach in the automobile industry. With a qualitative approach and thematic analysis method, the research is practical in terms of its purpose. The data collection tool is semi-structured interviews, and the validity ...  Read More
Knowledge Extraction
Visualization of social capital knowledge based on pathology in the education system with a fuzzy approach

Saeed Abdolzadeh; Yadollah Abbaszadeh Sohroun; Peyman Yarmohammadzadeh

Articles in Press, Accepted Manuscript, Available Online from 25 May 2023

https://doi.org/10.22034/kps.2023.384558.1100

Abstract
  This research aims to depict the knowledge of social capital based on pathology in the education system with a fuzzy approach. In terms of approach, it is mixed research, and in terms of method, it used theme analysis and fuzzy analysis. The study population was university professors and managers in ...  Read More
Knowledge Extraction
Generating The Genealogy of Digital Transformation Documents Using Visualization Techniques

Fatemeh Sabbaghi; Mohammad Hassanzadeh; Atefeh Sharif

Articles in Press, Accepted Manuscript, Available Online from 25 May 2023

https://doi.org/10.22034/kps.2023.385102.1103

Abstract
  Objectives: This paper tries 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.Methods: To reach the genealogy, three relations including ancestors, fathers, ...  Read More
International Journal of Knowledge Processing Studies

Publisher:
Ayandeh Amoozan -e- Ata

Director-in-Charge:
Prof. Mohammad Hassanzadeh

Editor-in-Chief:
Prof. Peyman Akhavan

Senior Editor:
Dr. Ali Ziyaee Mehr

Editorial Board:
Prof. Hamidreza Arabnia, USA Prof. Babak Akhgar, UK Prof. Javad Hatami, Iran Prof. K P Singh, India Prof. John Kishor, India Prof. Alireza Hassanzadeh, Iran Prof. Dr. Alireza Isfandyari, Iran Dr. Mansour Rezghi, Iran Dr. Sedigheh Mohammadesmaeil, Iran Prof. Jean Charles Lamirel, France Dr. Mitra Samiei, Iran Dr Andreas Brandner, Austria Dr. Saeid Asadi, Iran Madaiah Krishnamurthy, India

Frequency: Quarterly

Online ISSN: 2783-4611

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