Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » Decision Science Letters » A hybrid MCDM framework combined with DEMATEL-based ANP to evaluate enterprise technological innovation capabilities assessment

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 3 Issue 4 pp. 491-502 , 2014

A hybrid MCDM framework combined with DEMATEL-based ANP to evaluate enterprise technological innovation capabilities assessment Pages 491-502 Right click to download the paper Download PDF

Authors: Meng-Jong Kuan, Yee Ming Chen

Keywords: ANP, DEMATEL, Technological innovation, VIKOR

Abstract: The efficient evaluation of technological innovation capabilities of enterprises is an important factor to enhance competitiveness. This paper aims to assess and to rank technological innovation evaluation criteria in order to provide a practical insight of systematic analysis by gathering the qualified experts’ opinions combined with three methods of multi-criteria decision making approach. A framework is proposed and uses a novel hybrid multiple criteria decision-making (MCDM) model to address the dependence relationships of criteria with the aid of the Decision-Making Trial and Evaluation Laboratory (DEMATEL), analytical network process (ANP) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje). The study reports that the interaction between criteria is essential and influences technological innovation capabilities; furthermore, this ranking development of technological innovation capabilities assessment is also one of key management tools for managements of other related high- tech enterprises. Managers can then judge the need to improve and determine which criteria provide the most effective direction towards improvement.

How to cite this paper
Kuan, M & Chen, Y. (2014). A hybrid MCDM framework combined with DEMATEL-based ANP to evaluate enterprise technological innovation capabilities assessment.Decision Science Letters , 3(4), 491-502.

Refrences
Armbruster, H., Bikfalvi, A., Kinkel, S., & Lay, G. (2008). Organizational innovation: The challenge of measuring non-technical innovation in large-scale surveys. Technovation, 28(10), 644-657.

Chen, Y., & Chen, M. (2011). Social network analysis aided product development project management: IC Substrates case study. Management Science Letters, 1(2), 107-114.

Coombs, J. E., & Bierly, P. E. (2006). Measuring technological capability and performance. R & D Management, 36(4), 421–438.

Damanpour, F. J. (2010). An integration of research findings of effects of firm size and market competition on product and process innovations. British Journal of Management, 21(4), 996–1010.

Damanpour, F., & Daniel Wischnevsky, J. (2006). Research on innovation in organizations: Distinguishing innovation-generating from innovation-adopting organizations. Journal of Engineering and Technology Management, 23(4), 269-291.

Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10–11), 1105–1121.

Fontela, E., & Gabus, A. (1976). The DEMATEL observer, DEMATEL 1976 report. Switzerland Geneva: Battelle Geneva Research Center.

Gabus, A., & Fontela, E. (1973). Perceptions of the world problematique: Communication procedure, Communicating with those bearing collective responsibility (DEMATEL Report No. 1). Geneva, Switzerland: Battelle Geneva Research Centre.

Jiménez, J. D., & Sanz Valle, R. (2011). Innovation, organizational learning and performance. Journal of Business Research, 64, 408–417.

Kuan, M. J., Hsiang, C. C., & Tzeng, G. H. (2011). Probing the innovative quality system structure model for NPD Process based on combining DANP with MCDM model. International Journal of Innovative Computing, Information and Control, 8( 8), 5745~5762.

Leung, L. C., Hui, Y. V., & Zheng, M. (2003). Analysis of compatibility between interdependent matrices in ANP. Journal of the Operational Research Society,54(7), 758-768.

Menguc, B., & Auh, S. (2010). Development and return on execution of product innovation capabilities: The role of organizational structure. Industrial marketing management, 39(5), 820-831.

Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade, 2(1), 5-21.

Johannessen, J. A., & Olsen, B. (2003). Knowledge management and sustainable competitive advantages: The impact of dynamic contextual training. International Journal of Information Management, 23(4), 277-289.

Jung, U., & Seo, D. W. (2010). An ANP approach for R & D project evaluation based on interdependencies between research objectives and evaluation criteria. Decision Support Systems, 49(3), 335-342.

Saaty, T.L. (2004). The analytic network process: Dependence and feedback in decision making (Part 1): Theory and validation examples. In The 17th international conference on multiple criteria decesion making, August 6– 11, 2004. Whistler, British Columbia, Canada: The Whistler Conference Centre.

Sarvary, M. (1999). Knowledge management and competition in the consulting industry. California Management Review, 41 (2), 95–106.

Wang, C. H., Lu, I. Y., & Chen, C. B. (2008). Evaluating firm technological innovation capability under uncertainty. Technovation, 28(6), 349-363.

Yang, Y. P. O., Shieh, H. M., Leu, J. D., & Tzeng, G. H. (2008). A novel hybrid MCDM model combined with DEMATEL and ANP with applications. International Journal of Operations Research, 5(3), 160-168.
  • 34
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: Decision Science Letters | Year: 2014 | Volume: 3 | Issue: 4 | Views: 2985 | Reviews: 0

Related Articles:
  • Representing a new approach for implementing e-insurance using fuzzy DEMATE ...
  • An application of Fuzzy DEMATEL electronic life-insurance development
  • A hybrid of Borda and DEMTEL for productivity improvement
  • An Integrated MCDM Method in Ranking BSC Perspectives and key Performance I ...
  • An improved MCDM method for maintenance approach selection: A case study of ...

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