Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » Decision Science Letters » Knowledge management assessment in Petrochemical industries

Journals

  • IJIEC (747)
  • MSL (2643)
  • DSL (668)
  • CCL (508)
  • USCM (1092)
  • ESM (413)
  • AC (562)
  • JPM (271)
  • IJDS (912)
  • JFS (96)
  • HE (32)
  • SCI (26)

DSL Volumes

    • Volume 1 (10)
      • Issue 1 (5)
      • Issue 2 (5)
    • Volume 2 (30)
      • Issue 1 (5)
      • Issue 2 (6)
      • Issue 3 (9)
      • Issue 4 (10)
    • Volume 3 (53)
      • Issue 1 (15)
      • Issue 2 (10)
      • Issue 3 (19)
      • Issue 4 (9)
    • Volume 4 (48)
      • Issue 1 (10)
      • Issue 2 (12)
      • Issue 3 (14)
      • Issue 4 (12)
    • Volume 5 (39)
      • Issue 1 (12)
      • Issue 2 (10)
      • Issue 3 (8)
      • Issue 4 (9)
    • Volume 6 (30)
      • Issue 1 (8)
      • Issue 2 (6)
      • Issue 3 (9)
      • Issue 4 (7)
    • Volume 7 (41)
      • Issue 1 (8)
      • Issue 2 (8)
      • Issue 3 (8)
      • Issue 4 (17)
    • Volume 8 (38)
      • Issue 1 (8)
      • Issue 2 (6)
      • Issue 3 (14)
      • Issue 4 (10)
    • Volume 9 (39)
      • Issue 1 (8)
      • Issue 2 (9)
      • Issue 3 (14)
      • Issue 4 (8)
    • Volume 10 (43)
      • Issue 1 (7)
      • Issue 2 (8)
      • Issue 3 (20)
      • Issue 4 (8)
    • Volume 11 (49)
      • Issue 1 (9)
      • Issue 2 (9)
      • Issue 3 (14)
      • Issue 4 (17)
    • Volume 12 (64)
      • Issue 1 (12)
      • Issue 2 (24)
      • Issue 3 (13)
      • Issue 4 (15)
    • Volume 13 (78)
      • Issue 1 (21)
      • Issue 2 (18)
      • Issue 3 (19)
      • Issue 4 (20)
    • Volume 14 (87)
      • Issue 1 (21)
      • Issue 2 (23)
      • Issue 3 (25)
      • Issue 4 (18)
    • Volume 15 (19)
      • Issue 1 (19)

Keywords

Supply chain management(166)
Jordan(161)
Vietnam(149)
Customer satisfaction(120)
Performance(113)
Supply chain(111)
Service quality(98)
Competitive advantage(95)
Tehran Stock Exchange(94)
SMEs(87)
optimization(86)
Trust(83)
TOPSIS(83)
Financial performance(83)
Sustainability(82)
Job satisfaction(80)
Factor analysis(78)
Social media(78)
Artificial intelligence(77)
Knowledge Management(77)


» Show all keywords

Authors

Naser Azad(82)
Mohammad Reza Iravani(64)
Zeplin Jiwa Husada Tarigan(63)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(39)
Jumadil Saputra(36)
Dmaithan Almajali(36)
Muhammad Turki Alshurideh(35)
Barween Al Kurdi(32)
Ahmad Makui(32)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Mohammad Khodaei Valahzaghard(30)
Sautma Ronni Basana(29)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)
Haitham M. Alzoubi(27)


» Show all authors

Countries

Iran(2184)
Indonesia(1290)
India(788)
Jordan(786)
Vietnam(504)
Saudi Arabia(453)
Malaysia(441)
United Arab Emirates(220)
China(206)
Thailand(153)
United States(111)
Turkey(106)
Ukraine(104)
Egypt(98)
Canada(92)
Peru(88)
Pakistan(85)
United Kingdom(80)
Morocco(79)
Nigeria(78)


» Show all countries

Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 6 Issue 1 pp. 23-36 , 2017

Knowledge management assessment in Petrochemical industries Pages 23-36 Right click to download the paper Download PDF

Authors: Ammar Feyzi, Hosein Rezai, Mohammadreza Ghorbanian

DOI: 10.5267/j.dsl.2016.8.003

Keywords: Performance assessment, Knowledge management, Petrochemical industries, Balanced scorecard, DEMATEL, ORESTE Technique

Abstract: Knowledge management strategies are considered as the foundation of learning organizations. One of the problems of Iranian organizations is the assessment of knowledge management processes. The purpose of the present study is to present an applied organized model for the assessment of knowledge management performance in six dimensions, i.e., the financial dimension, stakeholders, local processes, growth and learning, employee satisfaction, and environment and community; identifying and investigating the correlation among the criteria; mapping network relations; weighing the indices using DEMATEL Technique; ranking assessment dimensions of knowledge management using ORESTE Technique; drawing strategic map; and designing Balanced Scorecard for improved performance of knowledge management. The population and sample of the study included 25 petrochemical Tehran managers and senior experts in information technology section. The results of this study provides a comprehensive view for the decision makers of Iran Petrochemical Industries for an improved performance in knowledge management.

How to cite this paper
Feyzi, A., Rezai, H & Ghorbanian, M. (2017). Knowledge management assessment in Petrochemical industries.Decision Science Letters , 6(1), 23-36.

Refrences
Feyzi, A., & Soloukdar, A. (2014). Evaluating performance of the banking industry with FTOPSIS-BSC approach. Financial Engineering and Securities Management (Portfolio Management), 5(20), 57-78.
Feyzi, A., Taati, N., & Hoseinpour, H. (2014). Prioritization of key success factors in implementation and evaluation of knowledge management (passive defense engineering deputy). University of Kashan, National Conference passive defense.
Fontela, E., & Gabus, A. (1976). Current perceptions of the world problematique. World Modeling: A Dialogue. North-Holland Publishing Company, Amsterdam/Oxford.
Jafari, S.M., Ibn Al-Rasoul, S.A., & Saee, A. (2009). Knowledge management evaluation with balanced scorecard. Tadbir 205(5).
Kaplan, E. (1983). The assessment of aphasia and related disorders (Vol. 2). Lippincott Williams & Wilkins.
Khamseh, A., & Qazayi, H. (2014). Knowledge management evaluation in manufacturing heavy equipment along with improvement solutions (Case Study: HEPCO) (p. 13). Presented in the first international conference on economy, management, accounting, and social sciences, Rasht.
Lin, C. Y., Chen, Y. S., & Lo, Y. W. (2015). The Impact of Social Capital on the Knowledge Sharing Behavior Among the Community Members of a Social Network Knowledge Platform. In Future Information Technology-II (pp. 183-189). Springer Netherlands.
Luo, S., Du, Y., Liu, P., Xuan, Z. & Wang, Y. (2015). A study on coevolutionary dynamics of knowledge diffusion and social network structure. Expert Systems With Applications, 42(7), 3619–3633.
Ngai, E. W. T. & Chan, E. W. C. (2005). Evaluation of knowledge management tools using AHP. Expert Systems With Applications, 29(4), 889–899.
Oinas-Kukkonen, H. (2006). Toward evaluation of knowledge management with the 7C model. Police Human Development Monthly, 3(8), 22.
Patil, S. K., & Kant, R. (2014). A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers. Expert Systems with Applications, 41(2), 679-693.
Rezayinpour, J., Shah Hosseini, M.A., & Khosravi, S. (2015). A conceptual model based on factors influencing implementation of knowledge management in the System Group Co. Information Development Management Quarterly, 1(4), 79-104
Ribeiro, F. M. (2015). Interdisciplinarity in ferment: the role of knowledge networks and department affiliation. Technological Forecasting and Social Change. http://dx.doi.org/10.1016/j.techfore.2015.07.021
Rahnama Roodposhti, F., Feyzi, A. (2013). Performance evaluation banking industry) using Balanced Scorecard (BSC) – FTOPSIS. MA thesis, Industrial Management, Islamic Azad University Central Tehran Branch.
Serenko, A. & Dumay, J. (2015). Citation classics published in knowledge management journals. Part I: articles and their characteristics. Journal Of Knowledge Management, 19(2), 401–431.
Sigala, M. & Chalkiti, K. (2015). Knowledge management, social media and employee creativity. International Journal Of Hospitality Management, 45, 44–58.
Sohrabi, B., Raeesi, I., & Alidousti, S. (2010). A model for assessing knowledge management maturity in the software industry. Science and Technology Politics, 3(1), 63-79
Samimi, Y. & Aqayi, A. (2012). A framework for evaluation of knowledge management systems. Industrial Management Quarterly, 10, 24.
Vaezi, R., & Moslemi, T. (2009). The identification of effective organizational factors influencing the implementation of knowledge management system: The case study of Hamkaran System Company. Journal of Development & Evolution Management, 1(1), 7-19.
Wiig, K. M. (1997). Knowledge management: where did it come from and where will it go?. Expert systems with applications, 13(1), 1-14.
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: Decision Science Letters | Year: 2017 | Volume: 6 | Issue: 1 | Views: 2352 | Reviews: 0

Related Articles:
  • Investigating the effect of value chain on knowledge application for econom ...
  • A study on relationship between organizational culture and information tech ...
  • An exploration study to detect important barriers for knowledge management
  • A study on effect of social capital on expediting knowledge distribution
  • An implementation of TPB method for learning important factors influencing ...

Add Reviews

Name:*
E-Mail:
Review:
Bold Italic Underline Strike | Align left Center Align right | Insert smilies Insert link URLInsert protected URL Select color | Add Hidden Text Insert Quote Convert selected text from selection to Cyrillic (Russian) alphabet Insert spoiler
winkwinkedsmileam
belayfeelfellowlaughing
lollovenorecourse
requestsadtonguewassat
cryingwhatbullyangry
Security Code: *
Include security image CAPCHA.
Refresh Code

® 2010-2026 GrowingScience.Com