Mining the R&D innovation performance processes for high-tech firms based on rough set theory

Technovation

Volumn 30, Issue 7-8, 2010, Pages 447-458

  Wang, Chun Hsien ^a   Chin, Yang Chieh ^b   Tzeng, Gwo Hshiung ^b,c  

^a NATIONAL CHIAYI UNIVERSITY   (Taiwan)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^c KAINAN UNIVERSITY   (Taiwan)

Author keywords

Cause and effect relationship; Flow network graph; R D innovation; Rough set theory; Rule induction

Indexed keywords

CAUSE-AND-EFFECT RELATIONSHIPS; COMPETITIVE ADVANTAGE; DECISION PATHS; DECISION RULES; FLOW NETWORK; FLOW NETWORK GRAPH; HIGH-TECH FIRMS; INNOVATION CHARACTERISTICS; INNOVATION PERFORMANCE; PERFORMANCE BASED; RESEARCH AND DEVELOPMENT; ROUGH SET; RULE BASE; RULE BASED; RULE INDUCTION; SALES GROWTH;

COMPETITION; DECISION MAKING; DECISION THEORY; SALES;

ROUGH SET THEORY;

EID: 77955308042     PISSN: 01664972     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.technovation.2009.11.001     Document Type: Article

References (70)

1. D.B. Balkin, G.D. Markman, and L.R. Gomez-Mejia Is CEO pay in high technology firms related to innovation? Academy of Management Journal 43 6 2000 1118 1129
2. W.J. Baumol, and E.N. Wolff Feedback from productivity growth to R&D The Scandinavian Journal of Economics 85 2 1983 147 157
3. M. Beynon, and N. Driffield An illustration of variable precision rough sets model: an analysis of the findings of the UK Monopolies and Mergers Commission Computers & Operations Research 32 7 2005 1739 1759
4. W.B. Brown, and D. Gobeli Observations on the measurement of R&D productivity: a case study IEEE Transaction on Engineering Management 39 4 1992 325 331
5. R. Butchart A new UK definition of high technology industries Economic Review 400 1987 83 89
6. C.J. Chen, and C.C. Huang A multiple criteria evaluation of high-tech industries for the science-based industrial park in Taiwan Information & Management 41 7 2004 839 851
7. M. Coccia A basic model for evaluating R&D performance: theory and application in Italy R&D Management 31 4 2001 453 464 (Pubitemid 33351287)
8. J.E. Coombs, and P.E. Bierly Measuring technological capability and performance R&D Management 36 4 2006 412 438
9. P. Cooke, M.G. Uranga, and G. Etxebarria Regional innovation systems: institutional and organizational dimensions Research Policy 26 1997 475 491
10. P. Cooke, P. Boekholt, and F. Tdtling The Governance of Innovation in Europe 2000 Pinter London
11. P.L. Chang, and C.W. Hsu The development strategies for Taiwan's semiconductor industry IEEE Transactions on Engineering Management 45 4 1998 349 356
12. A. Del Monte, and E. Papagni R&D and the growth of firms: empirical analysis of a panel of Italy firms Research Policy 32 1 2003 1003 1014
13. M. Diaz, and L. Gomez-Mejia The effectiveness of organization-wide compensation in technology-intensive firms Journal of High Technology Management Research 8 2 1997 301 315
14. A. Dimitras, R. Slowinski, R. Susmaga, and C. Zopounidis Business failure prediction using rough sets European Journal of Operation Research 114 1 1999 263 280
15. G. Dosi Sources, procedures and microeconomic effects of innovation Journal of Economic Literature 25 1 1988 1120 1171
16. R. Dressler, R.S. Wood, and Z. Alvarez Evaluating R&D performance using the cost saving metric Research-Technology Measurement 42 2 1999 4 13
17. G. Duysters, and J. Hagedoorn Core competencies and company performance in the world-wise computer industry Journal of High Technology Management Research 11 1 2000 75 91
18. G. Duystersc, and J. Hagedoorn Do company strategies and structures converge in global markets? Evidence from the company industry Journal of International Business Studies 32 1 2001 347 356
19. J.E. Ettlie R&D and global manufacturing performance Management Science 44 1 1998 1 11
20. C. Edquist Systems of innovationa critical review of the state of the art J. Fagerberg, D. Mowery, R. Nelson, Handbook of Innovation 2004 Oxford University Press Oxford
21. T.F. Fan, D.R. Liu, and G.H. Tzeng Rough set-based logistic for multicriteria decision analysis European Journal of Operational Research 182 1 2007 340 355
22. L.R. Ford, and D.R. Fulkerson Flows in Networks 1962 Princeton University Press Princeton, NJ
23. L.G. Franko Global corporate competition: who's winning, who's losing, and the R&D factor as one reason why Strategic Management Journal 10 1 1989 449 474
24. S.B. Graves, and N.S. Langowitz R&D productivity: a global multi-industry comparison Technology Forecasting and Social Change 53 2 1996 125 137
25. R. Griffith, S. Redding, and J. Van Reenen Mapping the two faces of R&D: productivity growth in a panel of OECD Industries The Review of Economics and Statistics 86 4 2004 883 895
26. H. Grupp, and S. Maital Perceived innovation of Israel's largest firms: an empirical study Technovation 20 3 2000 129 137
27. D. Guellec, and B. Van Pottelsberghe de la Potterie From R&D to productivity growth: do the institutional settings and the source of funds of R&D matter? Oxford Bullentin of Economics and Statistics 66 33 2004 353 378
28. J. Hagedoon, and M. Cloodt Measuring innovative performance: is there an advantage in using multiple indicators? Research Policy 32 1 2003 1365 1379
29. B. Hall, and J. Mairesse Exploring the relationship between R&D and productivity in French manufacturing firms Journal of Econometrics 65 1 1995 263 293
30. G.C. Hartmann, B.M. Mark, and S.R. Richard Planning your firm's R&D investment Research Technology Management 49 1 2006 25 36
31. R. Henderson, and I. Cockburn Measuring competence: exploring firm effects in pharmaceutical research Strategic Management Journal 15 1 1994 63 84
32. K. Ito, and V. Pucik R&D spending, domestic competition, and export performance of Japanese manufacturing firms Strategic Management Journal 14 1 1993 61 75
33. D. Keeble, and F. Wilkinson High-technology clusters, networking and collective learning in Europe 2000 Ashgate Aldershot, VT
34. B. Kim, and H. Oh An effective R&D performance measurement system: survey of Korean R&D researchers Omega-International Journal of Management Science 30 1 2002 19 31
35. K. Koschatzky, U. Bross, and P. Stanovnik Development and innovation potential in the Slovene manufacturing industry: analysis of an industrial innovation survey Technovation 21 5 2001 311 324
36. J. Lee, and E. Shin Moderating effects of R&D on corporate growth in U.S. and Japanese hi-tech industries: an empirical study The Journal of High Technology Management Research 6 2 1995 179 191
37. C.Y. Lee Do firms in clusters invest in R&D more intensively? Theory and evidence from multi-country data Research Policy 38 2009 1159 1171
38. W.F. Long, and D.J. Ravenscraft LBO's debt and R&D intensity Strategic Management Journal 14 1 1993 119 135
39. B. Mark, and T. Munakata Computing, artificial intelligence and information technology European Journal of Operational Research 136 1 2002 212 229
40. J.W. Medcof Identifying 'super-technology' industries Research Technology Management 42 1 1999 31 36
41. G.K. Morbey, and R.M. Reithner How R&D affects sales growth, productivity and profitability Research Technology Management 33 3 1990 11 14
42. OECD The Measurement of Scientific and Technological Activities: Standard Practice for Surveys of Research and Experimental Development Frascati Manual 1993 1993 OECD Paris
43. Y.P. Ou Yang, H.M. Shieh, G.H. Tzeng, L. Yen, and C.C. Chan Business aviation decision-making using rough sets C. C. Chan, RSCTC 2008 5306 2008 LNAI 329 338
44. Z. Pawlak Rough set International Journal of Computer and Information Sciences 11 1 1982 341 356
45. Z. Pawlak Rough sets Theoretical Aspects of Reasoning about Data 1991 Kluwer Academic Publishers Dordrecht
46. Z. Pawlak, J. Grzymala-Busse, R. Slowinski, and W. Ziarko Rough sets Communications of the ACM 38 11 1995 89 95
47. Z. Pawlak Why rough sets? The Fifth IEEE International Conference on Fuzzy Systems 2 1996 738 743
48. Z. Pawlak Rough sets T. y. Lin, N. Cercone, Rough Sets and Data Mining-Analysis or Imprecise Data 1997 Kluwer Boston, MA
49. Z. Pawlak Rough sets, decision algorithms and Bayes' theory European Journal of Operational Research 136 1 2002 181 189
50. Z. Pawlak Decision rules and flow networks European Journal of Operation research 154 1 2004 184 190
51. Z. Pawlak Flow graphs and intelligent data analysis Fundamenta Informaticae 64 1 2005 369 377
52. M.E. Porter Competitive Strategy 1980 Free Press New York
53. M.E. Porter The Competitive Advantage of Nations 1990 Free Press New York
54. G. Qian, and L. Li Profitability of small- and medium-sized enterprises in high-tech industries: the case of the biotechnology industry Strategic Management Journal 24 9 2003 881 887
55. D. Reeble High technology industry Geography 75 1990 361 364
56. S. Roper, and J. Love Innovation and export performance: evidence from the UK and German manufacturing plants Research Policy 31 7 2002 1087 1102
57. J.Y. Shyng, F.K. Wang, G.H. Tzeng, and K.S. Wu Rough set theory in analyzing the attributes of combination values for the insurance market Expert Systems with Applications 32 1 2007 56 64
58. V. Smith, M. Dilling-Hansen, T. Eriksson, and E.S. Madsen R&D and productivity in Danish firms: some empirical evidence Applied Economics 36 1 2004 1797 1806
59. A. Sterlacchini Do innovative activities matter to small firms in non-R&D-intensive industries? An application to export performance Research Policy 28 8 1999 819 832
60. F.E.H. Tay, and L. Shen Economic and financial prediction using rough sets model European Journal of Operation Research 141 1 2002 641 659
61. S. Thornhill Knowledge, innovation and firm performance in high-and low-technology regimes Journal of Business Venturing 21 1 2006 687 703
62. K.H. Tsai, and J.C. Wang The R&D performance in Taiwan's electronics industry: a longitudinal examination R&D Management 34 2 2004 179 189
63. K. Wakelin Productivity growth and R&D expenditure in UK manufacturing firms Research Policy 30 1 2001 1079 1090
64. D. Walwyn Finland and the mobile phone industry: a case study of the return on investment from government-funded research and development Technovation 27 1 2007 335 341
65. D. Wan, C.H. Ong, and F. Lee Determinants of firm innovation in Singapore Technovation 25 3 2005 261 268
66. C.H. Wang, I.Y. Lu, and C.B. Chen Evaluating firm technological innovation capability under uncertainty Technovation 28 1 2008 349 363
67. Wang, J.C.,Tsai,K.H.,2003.Productivity Growth and R&D Expenditure in Taiwans' Manufacturing Firms. NBER Working Paper. National Bureau of Economic Research Inc.
68. B.M. Werner, and W.E. Souder Measuring R&D performancestate of the art Research-Technology Measurement 40 2 1997 34 42
69. B.J.A. Willigers, and T.L. Hansen Project valuation in the pharmaceutical industry: a comparison of least-squares Monte Carlo real option valuation and conventional approaches R&D Management 38 5 2008 520 537
70. M.C. Wu, and S.H. Yen Pricing real growth options when the underlying assets have jump diffusion processes: the case of R&D investments R&D Management 37 3 2007 269 276