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1 ICT. ICT. ICT ICT ICT. ICT,.. 2000 2013.,... ICT. 2014 12

3 1 7 1 13 1 13 2 15 2 ICT 17 1 ICT 17 2 19 3 24 3 28 1 ICT : (the Ecosystem Layer Model, ELM) 28 1. ICT ELM 29 2. 4 ELM (The four-layer ELM model) 30 2 (Schumpeterian evolutionary economics) 31 3, 33 4 37 1 (Stochastic Frontier Analysis) 37 2 (Data Envelopment Analysis) 39 1. 39

4 2. (efficiency) 40 3. 40 4. 42 5. CCR 44 6. BCC 48 3 (Meta-Frontier Analysis) 51 4 55 5 59 1 59 2 (TE, TE*, TGR) 61 1. 61 2. 62 3. 63 4. 64 5. 65 6. 66 3 (TE, TE*, TGR) 66 1. (TE) 66 2. *(TE*) 67 3. (TGR) 68 6 70 73

5 4 1 55 4 2 57 4 3 58 5 1 TE 60 5 2 TE* 60 5 3 TGR 61

6 2 1 20 2 2 21 2 3 22 2 4,,, SFA 23 2 5 24 2 6 25 4 1 1 1 43 4 2 1 1 CCR 47 4 3 1 1 CCR BCC 50 5 1 TE, TE*, TGR 62 5 2 TE, TE*, TGR 63 5 3 TE, TE*, TGR 64 5 4 TE, TE*, TGR 65 5 5 TE, TE*, TGR 65 5 6 TE, TE*, TGR 66 5 7 67 5 8 TE* 68 5 9 TGR 69

7 1.. SFA(Stochastic Frontier Analysis), DEA(Data Envelopment Analysis)., (Production Function).. (Meta-Fontier Analysis) TGR (Technology Gap Ratio),. DEA..

8 2..,... (Frontier).,..., TGR. TGR.,...

9.,,. TGR TGR,.,.,. ICT. 3. NICE KIS-VALUE 1. KSIC-9. 1,. 1,181,,,,, 6. KIS-VALUE,,,, DEA 2000 2013.

10 TGR. 6 TE, TE*, TGR. TE, TE*, TGR

11 TE(Technical Efficiency) TGR., TE TGR,. TGR.,,. TE, TE TGR TGR., TE,.,. TE TGR. TE TGR...,

12., ICT ICT.

1 13 1 1 (input) (output).,. (efficiency), (absolute efficiency) (relative efficiency).. Koopman(1951), Debreu(1951), Farrell(1957) ICT Giokas & Pentzaropoulos(2008), Thompson & Garbacz(2007), Tsai et al.(2006).,..,..

14.. Lee & Hwang(2011) Online Music Streaming. Lee & Hwang(2011) Online Music Streaming.,.,,. (Meta-Frontier Technology) 1). 2004 Battesse, Rao & O Donnell(2004),, Lee & Hwang(2011), Hong, Lee & Hwang(2011), Yang, Lee, Hwang & Shin(2013) ICT(Information and Communication Technology).,. TGR(Technology Gap Ratio). 1), TGR, DEA 4.

1 15 2 ICT ICT,. ICT. ICT ICT.,. ICT. ICT. ICT. ICT. TGR,., ICT,.

16, ICT. DEA(Data Envelopment Analysis). DEA ICT. DEA,,,.

2 ICT 17 2 ICT 1 ICT ICT. PC(Personal Computer) (Smartphone), PC(Tablet PC) (Smart Devices), TV, PC (Content) (Platform) (Network) (Device) (Fransman, 2007; Iansiti & Levien, 2004; Tiwana, Konsynski, & Bush, 2010). ICT (Network Provider) (Platform Provider) (Cusumano, 2010), C-N-P-D(Content-Network-Platform- Device) (Contents Provider) (two-sided market) (Cusumano, 2010; Cusumano & Gawer, 2002; Eisenmann, Parker, & Van Alstyne, 2008; Hilkert, Benlian, & Hess, 2011; Iansiti & Levien, 2004; West & Mace, 2010; Xu, Venkatesh, Tam, & Hong, 2010).., (Katz & Shapiro, 1994)., (Positive feedback) (Arthur, 1989; Katz & Shapiro, 1994)., PP(Platform Provider) CP(Content Provider),

18 CP PP.,,., (Gawer & Cusumano, 2012). C-P-N-D ICT.,,, (Abadie, Maghiros, & Pascu, 2008). IT,.,. (Nelson & Winter, 1982; Teece, Pisano, & Shuen, 1997),, (needs).,,. (i-phone). ICT, (Google) (Android) OS.,,.,.

2 ICT 19 2.,... (Frontier).,..., TGR. TGR.,...

20 2 1 (a) (b).,,.

2 ICT 21 TGR TGR,. 2 2 (a) (b)

22,,,. ICT. 2 3,,, (Stochastic Frontier Analysis, SFA). ICT,,.,.

2 ICT 23 2 4,,, SFA,. 2003 12 40 missing value.,.

24 3 ASP(Application Service Provider) (innovation) ISP(Internet Service Provider) (spillover). YouTube YouTube UCC ISP. ISP (bandwidth) QoS(Quality of Service). ISP ASP. ISP QoS, Voice over Internet Protocol(VoIP). 2 5 ASP ISP. 2 5, ASP ISP 100% ISP ASP 100%,

2 ICT 25. ASP, ISP. 100%, (bandwidth-usage) (latency-sensitivity). Wu(2004),, 10 1. ISP. http VoIP. 2 6 ISP ASP. 2 6 (Joseph Schumpeter). Schumpeter Mark I

26 Schumpeter(1934), (creative destruction) (entrepreneur-spirit ). Schumpeter Mark Schumpeter(1942) R&D. creative accumulation. Malerba and Orsenigo(1996), 1 2 widening( ) deepening (, Malerba and Orsenigo, 1995). Wu(2004) (Schumpeter Mark ), (later Schumpeter). Schumpeter Mark, Schumpeter Mark ISP ASP. Wu and Yoo(2007) Wu. Christopher. Christopher Schumpeter Mark, AT&T (incumbent)., (business model).., ASP

2 ICT 27 ISP, ISP ASP,.

28 3 1995 ICT ICT. ICT,,. 1 ICT : (the Ecosystem Layer Model, ELM) ELM ICT,. ICT,,,,,,,,,,. ELM, ICT (functionalities). ELM ICT,,.. ELM? ELM, ICT.,,.,.,

3 29. ( ),., ICT.,.,. 1. ICT ELM networked elements ICT, (networked).,,,. network operating. Layer 1 Layer 2, (network operators), (telecom operators)(fixed and mobile), TV (cable TV operators), (satellite operators and broadcasting operators)., 1990., DSL FTTP connections, (coaxial cables),. connectivity. TCP/IP Layer 3 (Internet connectivity). Layer 2 Layer 3, Layer 3., Layer 3. Layer 3

30,.., ELM (Middleware). (search)... Layer 3 4 Layer 5. content, applications and services. (Connectivity) (Internet access)(in Layer 3),, (in Layer 4),. Layer 5 (services)., services for intermediate consumers/users. final consumption. ELM Layer 6.. Layers 1-5 Layer 6 (products and services). 2. 4 ELM (The four-layer ELM model) layer ELM layer,. Layer 2 3 Layer 2.. Layer 4 5

3 31 Layer 3. (navigation) Layer 4 Layer 5,. 2 (Schumpeterian evolutionary economics) (Schumpeter) (economic development),. (economic world), (neoclassical economics)., (endogenously generated development). (the carrying out of new combinations).,,. (Entrepreneurs),., (creative destruction),.,,,., (Capitalism), (Socialism), (Democracy), (evolutionary process).

32,.. (Darwin). (determining processes).,. (Richard Nelson) (Sidney Winter) (Schumpeterian and Darwinian thinking) (modern economics).,..,.. (selection process),,.,. /, /, /,,.?,..,..,.

3 33 / R&D.. (intellectual property regimes), (financing mechanisms),,. (rules of the game). (national innovation systems, NIS) 1980 (Schumpeterian evolutionary economics).,.,. NIS, (sectoral systems of innovation). (industrial & institutional organisations). 3,,,.,.,, (Kimberly and Evanisko, 1981; Damanpour, 1987; 1988).,..

34 Ettlie(1983),. Dewar and Dutton(1986)., (the distribution of knowledge),. (the attitudes of the organization s management) (organizational structure),.,.,,. Damanpour(1988)..,.,., (initial stage) (implementation stage).,., Daft(1978) (dual-core) Duncan(1976) (ambidextrous).,,, (organic).

3 35,, (machanistic).,., Duncan(1976) Hage(1980).,.,,.,.,.. Schulman (1969)., Henderson & Clark(1990) (component)... (architectural innovation) (modular innovation).

36, ( ) ( ).,.., (photolithographic alignment).,.

4 37 4 1 (Stochastic Frontier Analysis) Aigner, Lovell, & Schmidt(1977) Meeusen & van den Broeck(1977) SFA. (4.1), Y i i, x i i, f,, v i u i (random error), u i i (non-negative). v i, u i. u i. (TE: Technical Efficiency). exp exp exp (4.2) exp TE 0 1, TE 1 u i, 0. DEA SFA. SFA. SFA (technical inefficiency), (allocative inefficiency),

38 (Schmidt & Lovell, 1979). SFA DEA (deterministic),,. DEA SFA. Cullinane et al.(2002) SFA DEA. (unbalanced) SFA. SFA. Battesse & Coelli(1992).. (4.3) exp (4.4),. SFA (translog) (Cobb- Douglas).,. (u i ) (half-normal distribution) (exponential distribution). Jorgensen, Pedersen, and Volden(1997)

4 39. (truncated normal distribution). 0,, 0,.. 2 (Data Envelopment Analysis) 1. (DMUs: Decision Making Units) ( ) DEA Data Envelopment Analysis,. 1970 2), ( ). DEA.,.,. 2) Charnes et al.(1978) DEA.

40 2. (efficiency),.,. (absolute efficiency) (relative efficiency),.,.,., 1 0.7. (productivity), DEA. 3.,. DMU DMU.. DEA

4 41, DEA. (regression), (residuals). DEA, (data). DEA. (parameter). DEA,. DEA. DEA,. DEA. (LP: linear programming) DEA CCR 3), BCC 4) DEA. 3) Charnes et al.(1978) Charnes, Cooper, Rhodes. 4) Banker et al.(1984) Banker, Charnes, Cooper.

42 4. DEA..., (PPS: production possibility set). Shephard(1970) (axiom), Färe(1988) Färe et al.(1994).,.,,. 1 1 4 1.,., ( ) ( ), (free disposability). -, (convexity).

4 43 4 1 1 1, (CRS: Constant Returns to Scale) (VRS: Variable Returns to Scale).,. 0. ( ) ( ),. (IRS: Increasing Returns to Scale) (Decreasing Returns to Scale; DRS),. (production frontier)., (strongly efficient) (weakly

44 efficient). (Pareto efficient),..,., (DMU)., DEA,,. 5. CCR CCR DEA, DEA. DEA, (CRS) CCR, (VRS) BCC., CCR.

4 45 CCR. (primal model), (virtual price) (dual model). CCR DEA.,., j ( 4.5). min (4.5) (4.5), 1. 0 1, 1 1. 100.,. (unit invariance) DEA

46. CCR,..,. CCR (CRS), (4.6). max (4.6) CCR,. 1. 1. 1

4 47. 0 1.., (slack) 5) (projected point) 6). 1-1 4 2,. 4 2 1 1 CCR 5) 1,,. (slack), DEA. 6),.

48 4 2 J CCR. CCR J. 0 1, W J. W J W J, J J. J, 1. J W J W J, J J.,. 6. BCC (CRS) (VRS), DEA BCC.,. CCR (scale inefficiency), CCR. BCC, CCR ( 4 1),

4 49. BCC. min (4.7) 1 1 CCR BCC 4 3. O A, C, A, B C B. J J, J. ( ) W J W J (CRS CCR ) W J W J (VRS BCC )...

50 4 3 1 1 CCR BCC BCC,. max (4.8) BCC CCR. CCR, BCC

4 51. 4 3 CCR,..,.. 3 (Meta-Frontier Analysis),. (Stochastic frontier),.,,., (,, ). j,. SFA. (Battese & Rao, 2002).

52 agriculture industry. Battesse, Rao & O Donnell(2004) 1990 1995 SFA garment. O Donnell, Rao, and Battesse (2008) 97 SFA DEA. Chen & Song(2008) SFA, Moreira and Bravo-Ureta(2010) SFA (Latin America) (dairy farm). (Chiu, Lee, Lu, Shyu, & Luo, 2012; Zhang, Zhou, & Choi, 2013), (civil engineering)(fallah-fini, Triantis, de la Garza, & Seaver, 2012), (pharmaceutical industry)(mazumdar & Rajeev, 2009), (banking industry)(bos & Schmiedel, 2007). ICT. Lee and Hwang (2011) (ISP) (ASP) ASP UCC,,,., Hong, Lee, & Hwang (2011) TV. DEA SFA TV. Hsiao, Chern, and Yu(2012) (Integrated Circuit design firm),. Liao and Lien(2012) Asia-Pacific Economic Cooperation(APEC) (penetration rate) DEA.. R, j.

4 53 j, j i t. j i t (input vector), j x (stochastic frontier). j,, 0. j. (4.9) Battese, Rao, & O Donnell(2004). (4.10). for (4.11) (4.10) (4.11),.,.. (4.12)

54 (4.12) j (TE: Technical Efficiency)., (4.13), j Technical Gap Ratio( MTR). (4.14) TE* TE TGR,. (4.15) (parameter) 2. Linear Programming(LP), Quadratic Programming(QP). Battese, Rao, & O Donnell(2004) LP QP. min min, (4.16), (4.17) LP QP, LP QP.

4 55 4 NICE KIS-VALUE 1. KSIC-9, 4 1 1,416.,. 1,., 2000 2013.. ICT,. 1,181 4 2. 4 1 G46453, 38 G47611 2 G47911 56

56 G47919 15 J58211 76 J58219 43 J58221 1 J58222 448 J59111 45 J59112 17 J59113 7 J59114 55 J59130, 22 J59201 20 J60100 2 J60210 36 J60221 26 J60222 115 J60229 5 J61210 25 J61220 13 J61230 1 J61291 20 J61299 29 J62022 6 J62090 21 J63120 22 J63910 3 J63990 1 J63991 130 J63999 9 M71310 102 M71393 5 1,416

4 57 4 2 J61210 25 telecommunication J61220 13 telecommunication J61230 1 telecommunication J61291 20 telecommunication J61299 29 telecommunication J58221 1 software J58222 448 software G47911 56 J63120 22 J63991 130 J62022 6 IT operation J62090 21 IT operation J58211 76 J58219 43 G47919 15 etc J63990 1 etc J63999 9 J60100 2 broadcast J60210 36 broadcast J60222 115 broadcast J60229 5 broadcast M71310 102 advertisement M71393 5 advertisement 1,181 1,181 ( (e-book), (e-learning), (platform), (music), (game), (video)). 4 3.

58 4 3 25 12 78 130 119 36 random effects time-varying,. ln ln ln ln m t i m. Y ti t i. x 1 (K), x 2 (M), x 3 (L). K Total asset, M CAPEX, L. y.

5 59 5,,,,, DEA ( TE) *( TE*) ( TGR). (TE). (TE*). (TGR) ( ) ( ),. TGR TE*., (TE, TE*, TGR) 2000 2013. 1 DEA 6 TE 2000 2013,

60 TE*, 4.15 TGR. TE, TE*, TGR 5 1, 5 2, 5 3. 5 1 TE 2000 0.9868 0.9678 0.9758 0.9921 0.9370 0.9630 2001 0.9877 0.9903 0.9798 0.9895 0.9382 0.9608 2002 0.9703 0.9947 0.9746 0.9854 0.9565 0.9440 2003 0.9767 0.9960 0.9585 0.9906 0.9515 0.9407 2004 0.9822 0.9962 0.9706 0.9848 0.9486 0.9582 2005 0.9753 0.9992 0.9753 0.9760 0.9519 0.9608 2006 0.9791 0.9976 0.9692 0.9888 0.9515 0.9654 2007 0.9775 0.9943 0.9522 0.9869 0.9570 0.9729 2008 0.9778 0.9972 0.9718 0.9878 0.9617 0.9649 2009 0.9812 0.9992 0.9722 0.9954 0.9672 0.9538 2010 0.9837 0.9952 0.9521 0.9893 0.9549 0.9623 2011 0.9801 0.9984 0.9486 0.9920 0.9591 0.9635 2012 0.9784 1.0000 0.9587 0.9695 0.9681 0.9729 2013 0.9807 0.9663 0.9603 0.9802 0.9547 0.9620 5 2 TE* 2000 0.9271 0.8032 0.8707 0.9187 0.8472 0.9187 2001 0.9250 0.8510 0.8758 0.9207 0.8790 0.9184 2002 0.9261 0.8797 0.8866 0.9100 0.8999 0.9076 2003 0.9250 0.8847 0.8849 0.9071 0.8879 0.9132 2004 0.9222 0.8950 0.8862 0.9063 0.8996 0.9309 2005 0.9229 0.8928 0.8872 0.9076 0.9028 0.9209 2006 0.9213 0.9073 0.8865 0.9033 0.8977 0.9266

5 61 2007 0.9268 0.9035 0.8875 0.8935 0.9078 0.9192 2008 0.9254 0.9072 0.8886 0.9024 0.9177 0.9170 2009 0.9278 0.9088 0.8926 0.9176 0.9204 0.9189 2010 0.9277 0.9114 0.8967 0.9251 0.9267 0.9303 2011 0.9235 0.9078 0.8971 0.9210 0.9320 0.9243 2012 0.9260 0.8874 0.8926 0.9260 0.9298 0.9224 2013 0.9216 0.8937 0.8947 0.9168 0.9310 0.9236 5 3 TGR 2000 0.9394 0.8283 0.8924 0.9260 0.9054 0.9540 2001 0.9366 0.8594 0.8942 0.9304 0.9374 0.9561 2002 0.9545 0.8844 0.9097 0.9235 0.9413 0.9617 2003 0.9470 0.8883 0.9232 0.9156 0.9334 0.9710 2004 0.9388 0.8985 0.9131 0.9203 0.9480 0.9715 2005 0.9462 0.8935 0.9096 0.9299 0.9482 0.9585 2006 0.9410 0.9095 0.9146 0.9136 0.9441 0.9598 2007 0.9482 0.9087 0.9324 0.9054 0.9491 0.9448 2008 0.9464 0.9098 0.9144 0.9135 0.9547 0.9508 2009 0.9456 0.9095 0.9182 0.9218 0.9520 0.9640 2010 0.9430 0.9158 0.9421 0.9351 0.9710 0.9671 2011 0.9424 0.9092 0.9456 0.9284 0.9723 0.9597 2012 0.9466 0.8874 0.9311 0.9550 0.9610 0.9484 2013 0.9399 0.9202 0.9319 0.9353 0.9756 0.9598 2 (TE, TE*, TGR) 1. TE 0.98

62.. - (TE*) TGR 0.92 0.94. 2002 2005 TE. TE.. TE TGR. 5 1 TE, TE*, TGR 2. TE, 0.98 2013.,

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73 Abadie, F., Maghiros, I., & Pascu, C. (2008). The Future Evolution of the Creative Content Industries. Joint Research Center of EU. Aigner, D., Lovell, C. A. K., Schmidt, P., (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics 6(1), 21-37. Arthur, W. B. (1989). Competing technologies, increasing returns, and lock-in by historical events. The economic journal, 99(394), 116-131. Banker, R. D., Charnes, A., and Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9):1078-1092. Battesse, G. E., & Coelli, T. J. (1992). Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India. Journal of Productivity Analysis, 3(1-2), 153-169. Battesse, G. E., Rao, D. S. P., and O'Donnell, C. J. (2004). A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Journal of Productivitiy Analysis, 21(1): 91-103. Bos, J. W. B., & Schmiedel, H. (2007). Is there a single frontier in a single European banking market? Journal of Banking & Finance, 31(7), 2081-2102. Charnes, A., Cooper, W. W., and Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6):429-444. Chen, Z., & Song, S. (2008). Efficiency and technology gap in China s agriculture: A regional meta-frontier analysis. China Economic Review, 19(2), 287-296.

74 Chiu, Y., Lee, J., Lu, C., Shyu, M., & Luo, Z. (2012). The technology gap and efficiency measure in WEC countries: Application of the hybrid meta frontier model. Energy Policy, 51, 349-357. Cullinane, K., Song, D., & Gray, R. (2002). A stochastic frontier model of the efficiency of major container terminals in Asia: Assessing the influence of administrative and ownership structures. Transportation Research Part A: Policy and Practice, 36(8), 743-762. Cusumano, M. (2010). Technology strategy and management The evolution of platform thinking. Communications of the ACM, 53(1), 32-34. Cusumano, M., & Gawer, A. (2002). The elements of platform leadership. MIT Sloan Management Review, 43(3), 51-58. Daft, R. L. (1978). A dual-core model of organizational innovation. Academy of management journal, 21(2), 193-210. Damanpour, F. (1987), The Adoption of Technological, Administrative and Service Innovations: Impact of Organizational Factors. Journal of Management, 13(4), 675-688. Damanpour, F. (1988). Innovation type, radicalness, and the adoption process. Communication research, 15(5), 545-567. Debreu, G. (1951). The coefficient of resource utilization. Econometrica, 19(3): 273-292. Dewar, R. D., & Dutton, J. E. (1986). The adoption of radical and incremental innovations: an empirical analysis. Management science, 32(11), 1422-1433. Duncan, R. B. (1976). The ambidextrous organization: Designing dual structures for innovation. In R. H. Kilmann, L. R. Pondy, & D. P. Sleven(Eds.), The management of organization: Strategy and implementation(vol 1, pp. 167-188). New York: North-Holland. Eisenmann, T., Parker, G., & van Alstyne, M. (2008). Opening platforms: How, when and why? Harvard business school entrepreneurial management working paper

75 (09-030). Ettlie, J. E. (1983). Organizational policy and innovation among suppliers to the food processing sector. Academy of Management Journal, 26(1), 27-44. Fallah-Fini, S., Triantis, K., de la Garza, J. M., & Seaver, W. L. (2012). Measuring the efficiency of highway maintenance contracting strategies: A bootstrapped non-parametric meta-frontier approach. European Journal of Operational Research. 219(1), 134-145. Färe, R. (1988). Fundamentals of production theory. Springer Verlag, Heidelberg. Färe, R., Grosskopf, S., and Lovell, C. A. K. (1994). Production frontiers. Cambridge University Press, New York. Farrell, M. J. (1957). The measurement of productivity efficiency. Journal of Royal Statistical Society. Series A, 120(3): 253-267. Fransman, M. (2007). 2 The New ICT Ecosystem. Freeman, C. (1982), The Economics of Industrial Innovation, 2nd edition, Frances Pinter, London. Gawer, A., & Cusumano, M. (2012). Industry Platforms and Ecosystem Innovation. Paper presented at the DRUID 2012, Copenhagen, Denmark,. Giokas, D. I., & Pentzaropoulos, G. C. (2008). Efficiency ranking of the OECD member states in the area of telecommunications: A composite AHP/DEA study. Telecommunications Policy, 32(9), 672-685. Hage, J. (1980). Theories of organizations: Form, process, and transformation. New York: Wiley. Henderson, R. M., & Clark, K. B. (1990). Architectural innovation: the reconfiguration of existing product technologies and the failure of established firms. Administrative science quarterly, 9-30. Hilkert, D., Benlian, A., & Hess, T. (2011). The openness of smartphone software platforms.

76 Erscheint in: INFORMATIK. Hong, A., Lee, D., and Hwang, J. (2011). Metafrontier production function analysis of horizontal and vertical integration in Korea s cable TV industry. Journal of Media Economics, 24(4): 221-236. Hsiao, B., Chern, C., & Yu, M. (2012). Measuring the relative efficiency of IC design firms using the directional distance function and a meta-frontier approach. Decision Support Systems. 53(4), 881-891. Iansiti, M., & Levien, R. (2004). The keystone advantage: what the new dynamics of business ecosystems mean for strategy, innovation, and sustainability: Harvard Business School Press. Jorgensen, F., Pedersen, P. A., & Volden, R. (1997). Estimating the inefficiency in the Norwegian bus industry from stochastic cost frontier models. Transportation, 24(4), 421-433. Katz, M. L., & Shapiro, C. (1994). Systems competition and network effects. The Journal of Economic Perspectives, 8(2), 93-115. Kimberly, J. R., & Evanisko, M. J. (1981). Organizational innovation: The influence of individual, organizational, and contextual factors on hospital adoption of technological and administrative innovations. Academy of management journal, 24(4), 689-713. Koopman, T. C. (1951). Analysis of production as an efficient combination of activities. In Koopman, T. C.(Eds.), Activity analysis of production and allocation(33-97). John Willey & Sons, Inc., New York. Lee, D., & Hwang, J. (2011). Network neutrality and difference in efficiency among Internet application service providers: A meta-frontier analysis. Telecommunications Policy, 35(8), 764-772. Liao, C., & Lien, C. (2012). Measuring the technology gap of APEC integrated telecommunications operators. Telecommunications Policy, 36(10-11), 989-996. Malerba, F., and Orsenigo, L. (1995). Schumpeterian patterns of innovation, Cambridge

77 Journal of Economics 19, 47-65. Malerba, F., and Orsenigo, L. (1996). Schumpeterian patterns of innovation are technologyspecific. Research Policy 25, 451-478. Mazumdar, M., & Rajeev, M. (2009). Comparing the efficiency and productivity of the Indian pharmaceutical firms: A Malmquist-meta-frontier approach. International Journal of Business and Economics, 8(2), 159-181. Meeusen, W., van den Broeck, J., (1977). Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error. International Economic Review 18(2), 435-444. Mazumdar, M., & Rajeev, M. (2009). Comparing the efficiency and productivity of the Indian pharmaceutical firms: A Malmquist-meta-frontier approach. International Journal of Business and Economics, 8(2), 159-181. Moreira, V. H., & Bravo-Ureta, B. E. (2010). Technical efficiency and metatechnology ratios for dairy farms in three southern cone countries: A stochastic meta-frontier model. Journal of Productivity Analysis, 33(1), 33-45. Nelson, R. R. & Winter, S. G. (1982). An Evolutionary Theory of Economic Change. Cambridge, Mass: Harvard University Press. O Donnell, C. J., Rao, D. S. P., & Battese, G. E. (2008). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical Economics, 34(2), 231-255. Schmidt, P. and Lovell, C. A. K. (1979). Estimating technical and allocative ineficiency relative to stochastic production and cost frontiers, Journal of Econometrics 9, 343-366. Schulman, J. (1969). Remaking an organization: innovation in a specialized psychiatric hospital. Albany: SUNY Press. Schumpeter, J. A. (1934). The theory of economic development, Harvard Economic Studies, Cambridge, Mass.

78 Schumpeter, J. A. (1942). Capitalism, socialism and democracy, Harper, New York. Shephard, R. W. (1970). Theory of cost and production functions. Princeton University Press, Princeton. Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18: 509-533. Thompson Jr, H. G., & Garbacz, C. (2007). Mobile, fixed line and Internet service effects on global productive efficiency. Information Economics and Policy, 19(2), 189-214. Tiwana, A., Konsynski, B., & Bush, A. A. (2010). Research Commentary Platform Evolution: Coevolution of Platform Architecture, Governance, and Environmental Dynamics. Information Systems Research, 21(4), 675-687. Tsai, H. C., Chen, C. M., & Tzeng, G. H. (2006). The comparative productivity efficiency for global telecoms. International Journal of Production Economics, 103(2), 509-526 West, J., & Mace, M. (2010). Browsing as the killer app: Explaining the rapid success of Apple's iphone. Telecommunications Policy, 34(5), 270-286. Wu, T. (2004). The broadband debate: A user s guide. Telecommunications and High Technology Law, 3, 69-96. Wu, T. & Yoo, C. (2007). Keeping the Internet Neutral?: Tim Wu and Christopher Yoo Debate. Federal Communications Law Journal, 59(3): 575-92. Xu, X., Venkatesh, V., Tam, K., & Hong, S. (2010). Model of migration and use of platforms: role of hierarchy, current generation, and complementarities in consumer settings. Management Science, 56(8), 1304-1323. Yang, A., Lee, D., Hwang, J., and Shin, J. (2013). The influence of regulations on the efficiency of telecommunications operators: A meta-frontier analysis. Telecommunications Policy, 37(11): 1071-1082.

79 Zhang, N., Zhou, P., & Choi, Y. (2013). Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance function analysis. Energy Policy, 56, 653-662.

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