A Performance Extension Measurement Analysis Model of Enterprise Green Technology Innovation based on Extension Theory

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1 Interntionl Journl of Hyrid Informtion Technology, pp A Performnce Extension Mesurement Anlysis Model of Enterprise Green Technology Innovtion sed on Extension Theory Ynrong Wng nd Annn Chen Mngement & Economics School of North Chin University of Wter Resources nd Electric Power, Zhengzhou, , Chin cn5151@16.com Astrct Green technology innovtion is the criticl pth for enterprises to chieve sustinle development. However, corporte technology innovtion in most cses is ffected nd constrined y multiple fctors. It is fetured y multi-fctor, multi-trget, multilyer nd fuzzy uncertinty, etc. Thus it is of gret importnce to mesure nd nlyze the performnce of corporte technology innovtion. To this end, this pper ims to study the performnce mesurement of corporte technology innovtion nd proposes performnce nlysis model sed on extension theories for corporte technology innovtion. First, the model nlyzed relevnt fctors tht influence performnce mesurement nlysis of corporte technology innovtion. Then, sed on the nlysis, it estlished the performnce mesurement nlysis index system of corporte technology innovtion. Menwhile, the model tried to normlize the different types of mesurement nlysis indexes fter which corresponding clssicl fields nd controlled fields were otined. It then clculted the extension distnces nd the extension dependencies etween different mesurement nlysis indexes s well s the clssicl fields nd the controlled fields. The size of the extension dependency reveled the ility levels of corporte technology innovtion. Lstly, the model ws tested y specific cses. Keywords: technology innovtion, performnce nlysis, extension theory, index system, mesure model 1. Introduction Along with the rpid development of science nd technology, energy scrcity nd environmentl degrdtion re getting severer. When pursuing economic profits, corportes should consider more out the coordintive development of economy, society nd environment. Therefore, technology innovtion, s criticl pth for compnies to chieve sustinle development, is ttrcting more nd more ttention nd hs een widely studied [1-3]. The purpose of technology innovtion is to help corportes mximize economic profits nd socil enefits nd keep fvorle sustinle development cpcity under the following conditions: 1) sve s much energy s possile; ) sve s much rw mterils s possile; nd 3) reduce environmentl pollution. The essence of performnce mesurement nlysis of corporte technology innovtion is to help science nd technology enterprises mintin fvorle nd helthy development [4-5]. The nlysis of corporte technology innovtion cpcity minly evlutes their economic informtion, environmentl enefit nd socil enefit, etc. So fr, some scholrs hve conducted reserches out the performnce mesurement nlysis of technology innovtion nd cquired some vlule insights [6-9]. Nevertheless, the existing methodologies often ignore the fuzzy uncertin mesure ISSN: IJHIT Copyright c 015 SERSC

2 Interntionl Journl of Hyrid Informtion Technology informtion otined during the performnce mesurement nlysis process of technology innovtion. Although some methodologies dopt fuzzy nlyticl method to nlyze the performnce mesurement of technology innovtion, they choose to generte ccurte mgnitudes of specific mesure indexes efore the mesurement nlysis. Strictly speking, this is not genuinely fuzzy mesurement nlysis nd cnnot reflect the reltionship etween fuzzy indexes effectively. As result, these methodologies hve certin limittions. On the sis of existing reserch results, this thesis proposes n improved performnce extension mesurement nlysis model of corporte technology innovtion from the perspective of extension theory.. The Performnce Mesurement Anlysis Index System of Corporte Green Technology Innovtion The performnce of corporte technology innovtion is influenced y vrious fctors. It hs fetures of multi-fctor, multi-trget, multi-lyer, fuzzy uncertinty nd dynmic, etc. Currently there is still no unified design philosophy of selecting mesurement nlysis indexes in the reserch field of performnce mesurement nlysis index system design of corporte technology innovtion. Different scholrs hve different understndings out it. The uthor of this thesis thinks tht the selection of indexes should ensure ojectivity, ccurcy nd effectiveness of performnce nlysis results nd it should lso e le to conduct comprehensive performnce mesurement nlysis from multiple perspectives nd dimensions. This thesis presents rnd new performnce mesurement nlysis index system of corporte technology innovtion s is demonstrted in Tle 1. It is expected tht this system cn evlute performnce of corporte technology innovtion effectively, ojectively, comprehensively nd scientificlly. Tle 1. Performnce Mesurement Anlysis Index System of Corporte Green Technology Innovtion System lyer Criterion lyer index lyer numer of ptents owned 11 Performnce mesurement nlysis index system of corporte technology innovtion A innovtion reserch nd development cpcity A 1 innovtion implementtion cpcity A innovtion mngement cpcity A 3 innovtion development cycle 1 Independent reserch nd development rte 13 Trining nd lerning ility 14 level of equipment 1 level of technology proportion of professionl technology personnel 3 Entrepreneur s innovtion consciousness 31 Rtionlity of innovtion mechnism 3 Rtionlity of innovtion mechnism 33 Rtionlity of orgniztionl structure Copyright c 015 SERSC

3 Interntionl Journl of Hyrid Informtion Technology innovtion mrketing cpcity A 4 innovtion input cpcity A 5 innovtion development potentil A 6 mrket shre 41 cpcity of mintining mrket shre 4 Return on mrketing 43 input-output rtio 51 Conversion rte of scientific nd technicl chivements 5 invested cost 53 Intensity of innovtion input 61 High-tech projects of coopertion 6 Conversion cycle of technology Performnce Extension Mesurement Anlysis Model of Corporte Green Technology Innovtion 3.1. Clssicl Field Mtter Elements of Mesurement Anlysis Indexes Performnce of corporte technology innovtion needs to e nlyzed sed on prcticl sitution of corporte development. Hypotheticlly, there re m mesurement nlysis indexes tht re otined sed on relevnt reserch nlysis nd expert opinions in this field. And every index hs n performnce mesurement nlysis scles of corporte technology innovtion. Then the j th scle clssicl field mtter element model of mesurement nlysis index is R j : O C v, v, w 1 j 1 j 1 j 1 j O C V j 1 j 1 j C V C v, v, w C V m j m j C v, v, w n j m j m j m j R (1) j In the formul ove, V v, v, w refers to the chrcteristic vlue intervl of the jth mesurement nlysis scle regrding to the ith mesurement nlysis index, which is the performnce mesurement nlysis scle clssicl field of corporte technology innovtion of this index. And it stisfies v v, 1 i m, 1 j n. 3. Controlled Field Mtter Elements of Mesurement Anlysis Indexes On the sis of constructing clssicl field mtter elements of different mesurement nlysis indexes, controlled field mtter elements of different mesurement nlysis indexes cn lso e constructed. Copyright c 015 SERSC 353

4 Interntionl Journl of Hyrid Informtion Technology If there is: V v, v, w m in v, m x v, w o j o j o j o j 1 j n 1 j n () Then controlled field mtter element model of mesurement nlysis index R O C m in v 1 1, m x v1, w o j o j j 1 j 1 j n 1 j n O C V o j 1o 1o C V C m in v, m x v, w C V m o m o C m in v, m x v, w m o m j m j m j 1 j n 1 j n o j io io io 1 j n 1 j n R oi is: (3) 3.3. Processing Performnce Mesurement Anlysis Indexes of Green Technology Innovtion It cn e seen from the performnce mesurement nlysis index system of corporte technology innovtion tht mong the indexes, some re quntittive which cn e descried precisely nd some re qulittive which contin fuzzy informtion. The ltter ones cnnot e descried y exct numers nd hve fuzzy uncertinties. Their vlues cn only e descried y mens of fuzzy memerships or fuzzy intervls. Menwhile, some indexes re of enefit type nd some re of cost type. In order to unify ll the indexes, it is necessry to stndrdize them. To get generlized description of the indexes, the pper ssumes tht ll the indexes re fuzzy intervl mgnitudes while exct point vlues re exceptions of fuzzy intervl mgnitudes. If the performnce mesurement nlysis index i is reverse index, nd its corresponding mgnitude is V v, v, then the corresponding mgnitude of the trnsformed positive index of i is U : U u, u m in v / v, m in v / v 1 j n 1 j n And if i is positive index, nd its corresponding mgnitude is V v, v (4), then its corresponding mgnitude of the trnsformed reverse index is U u, u v / m x v, v / m x v 1 j n 1 j n If i is, nd its corresponding mgnitude is V v, v U : (5), then its corresponding mgnitude of the trnsformed positive index is U : o o o o U u, u m in v, v / m x v, v, m in v, v / m x v, v 1 j n 1 j n 1 j n 1 j n (6) 354 Copyright c 015 SERSC

5 Interntionl Journl of Hyrid Informtion Technology 3.4. Extension Dependency of Performnce Mesurement Anlysis of Green Technology Innovtion If the current mgnitude of corporte technology innovtion regrding to the mesurement nlysis index i is the point vlue V, then the extension distnce etween ip p the mgnitude nd the jth mesurement nlysis scle is : p u u u u V (7) ip If ip V is the middle point of the intervl u, u, then V is the closest from the jth ip p mesurement nlysis scle, which mens tht is the smllest. If the current mgnitude of corporte technology innovtion regrding to the mesurement nlysis index i is the intervl mgnitude, V v v ip ip ip, then the extension p distnce etween the intervl mgnitude nd the jth mesurement nlysis scle is s: 1 u u u u p v v u u (8) ip ip Prticulrly, when the optiml point of is not t the middle point of the intervl u, u, if it stisfies o v u, u V ip u, then the current extension distnce etween the mesurement nlysis index i of corporte technology innovtion nd p the jth mesurement nlysis scle is: v v ip ip u v u ip o u v v u ip v v ip ip u, v o u v v v ip ip o v u v ip p o (9) o If the condition of v, u u u is stisfied, then current extension distnce etween the mesurement nlysis index i of corporte technology innovtion nd p the jth mesurement nlysis scle is: v v ip ip o u v v ip o u v u v ip v v ip ip u, u o u v v v ip ip v u u ip p (10) Copyright c 015 SERSC 355

6 Interntionl Journl of Hyrid Informtion Technology Thus, the current extension dependency function K of the mesurement nlysis index i of corporte technology innovtion cpcity nd the jth mesurement nlysis scle is: K / u u v, v u, u o p 0 0 / v, v u, u p ip ip p o p ip ip In the function ove, o (11) represents the current extension distnce etween the mesurement nlysis index i nd its corresponding controlled field mtter element. Tking into ccount tht different mesurement nlysis index might hve different weight w, the weighting extension dependency etween the mesurement nlysis i indexes of corporte technology innovtion nd the jth mesurement nlysis scle is: m w K i 1 j i (1) Then ccording to the size of weighting extension dependency j j, the current performnce level of corporte technology innovtion cn e otined. The rule of optiml selection is s follows: m x,,, o 1 n (13) k The performnce mesurement nlysis level of corporte technology innovtion k k which corresponds to is the current performnce level of corporte technology innovtion. By doing so, precise quntittive description of the current performnce level of corporte technology innovtion is relized. The results cn offer support nd guidnce to the following corporte sustinle development Model nd Algorithm Implementtion Tken ll informtion mentioned ove into ccount, there re seven specific steps to implement the performnce extension mesurement nlysis model of corporte technology innovtion nd they re s follow: Step 1: On the sis of the implementing of corporte technology, estlish the performnce mesurement nlysis index system of corporte technology innovtion; Step : With the guidnce of the index system ove, construct clssicl field mtter elements nd controlled field mtter elements of different types of mesurement nlysis indexes; Step 3: Stndrdize different types of mesurement nlysis indexes to generte unified indexes; Step 4: Collect performnce mesurement nlysis index dt of current corporte technology innovtion through reserch nd nlysis nd then stndrdize ll of them; Step 5: Clculte the extension distnce etween the mesurement nlysis index dt of current corporte technology innovtion nd the corresponding clssicl field mtter elements nd controlled field mtter elements; Step 6: Clculte the extension dependency function nd weighting extension dependency etween the mesurement nlysis index dt of current corporte technology innovtion nd the corresponding clssicl field mtter elements; 356 Copyright c 015 SERSC

7 Interntionl Journl of Hyrid Informtion Technology Step 7: Bsed on the size of the weighting extension dependency, find out the level of current corporte technology innovtion nd offer support nd guidnce to the following corporte sustinle development 4. Cse Anlysis nd Testing In the following chpter, the performnce mesurement nlysis of specific compny s technology innovtion will e studied to further explin nd nlyze the model nd lgorithm introduced in this thesis. By soliciting expert opinions nd corporte reserches, clssicl fields in the performnce mesurement nlysis index system of corporte technology innovtion re otined nd relevnt indexes re collected. Specific results re demonstrted in Tle. Tle. Performnce Mesurement Anlysis Indexes of Corporte Green Technology Innovtion Criterion lyer weight index lyer weight innovtion reserch nd development cpcity A 1 innovtion implementtion cpcity A innovtion mngement cpcity A numer of ptents owned 11 innovtion development cycle 1 Independent reserch nd development rte 13 Trining nd lerning ility 14 level of equipment 1 level of technology proportion of professionl technology personnel 3 Entrepreneur s innovtion consciousness 31 Rtionlity of innovtion mechnism 3 Rtionlity of innovtion mechnism 33 I LEVEL Mesurement level II LEVEL III LEVEL Mesured vlue Copyright c 015 SERSC 357

8 Interntionl Journl of Hyrid Informtion Technology innovtion mrketing cpcity A 4 innovtion input cpcity A 5 innovtion development potentil A Rtionlity of orgniztionl structure mrket shre cpcity of mintining mrket shre Return on mrketing 43 input-output rtio 51 Conversion rte of scientific nd technicl chievements 5 invested cost Intensity of innovtion input 61 High-tech projects of coopertion 6 Conversion cycle of technology Bsed on the extension distnce clcultion model introduced in the thesis, the extension distnces etween the performnce mesurement nlysis indexes of the current corporte technology innovtion nd relted clssicl fields nd controlled fields re otined. The specific results re shown in Tle 3. Tle 3. The Extension Distnces of Performnce Mesurement Anlysis of the Current Corporte Green Technology Innovtion Extension distnce index lyer I LEVEL II LEVEL III LEVEL numer of ptents owned innovtion development cycle Independent reserch nd development rte Trining nd lerning ility level of equipment level of technology proportion of professionl technology personnel Copyright c 015 SERSC

9 Interntionl Journl of Hyrid Informtion Technology Entrepreneur s innovtion consciousness 31 Rtionlity of innovtion mechnism 3 Rtionlity of innovtion mechnism 33 Rtionlity of orgniztionl structure mrket shre cpcity of mintining mrket shre Return on mrketing input-output rtio Conversion rte of scientific nd technicl chivements invested cost Intensity of innovtion input High-tech projects of coopertion Conversion cycle of technology On the sis of the extension dependency function clcultion model introduced in the thesis, the extension dependency functions of the performnce mesurement nlysis indexes of the current corporte technology innovtion nd relted clssicl fields re otined. The specific results re shown in Tle 4. Tle 4. The Extension Dependency Functions of the Performnce Mesurement Anlysis Indexes of the Current Corporte Green Technology Innovtion index lyer numer of ptents owned 11 innovtion development cycle 1 Independent reserch nd development rte 13 Trining nd lerning ility 14 level of equipment 1 Extension dependency functions I LEVEL II LEVEL III LEVEL Copyright c 015 SERSC 359

10 Interntionl Journl of Hyrid Informtion Technology level of technology proportion of professionl technology personnel 3 Entrepreneur s innovtion consciousness 31 Rtionlity of innovtion mechnism Rtionlity of innovtion mechnism Rtionlity of orgniztionl structure 34 mrket shre cpcity of mintining mrket shre Return on mrketing input-output rtio Conversion rte of scientific nd technicl chivements invested cost Intensity of innovtion input High-tech projects of coopertion Conversion cycle of technology Bsed on the extension dependency clcultion model introduced in the thesis, the sequence of the extension dependency of the performnce mesurement nlysis indexes of the current corporte technology innovtion is otined: 0.4 1, , From this sequence it cn e seen tht the current o ility level of the corporte technology innovtion is III, however, the difference etween nd is not ovious. Thus, trgeted improvements to del with the wek III II links re necessry so tht the model is le to offer support nd guidnce for corporte sustinle development in the future. 5. Conclusions This pper, to del with the existing prolems of corporte technology innovtion, hs proposed performnce extension mesurement nlysis model of 360 Copyright c 015 SERSC

11 Interntionl Journl of Hyrid Informtion Technology corporte technology innovtion. This model stndrdizes different types of mesurement nlysis indexes vi the estlishment of performnce mesurement nlysis index system of corporte technology innovtion. Then it constructs corresponding clssicl field mtter elements nd the controlled field mtter elements of relevnt indexes fter which the extension distnces nd extension dependencies of the corporte technology innovtion cpcities nd the clssicl field mtter elements re clculted y the extension distnce nd dependency clcultion model. The size of the extension dependency shows the cpcity level of corporte technology innovtion. The model demonstrtes well-defined physicl significnce nd its clcultion is simple, ccurte nd cn esily e pplied to computers. As result, it cn provide new wy of intelligent implementtion for the mesurement of corporte technology innovtion. Menwhile, the testing results of the prcticl cses hve proven tht the proposed model nd lgorithm re effective. References [1] W. Xu, Q. Shusheng nd W. Kun, The Explortion of Corporte Green Technology Innovtion Drive Green Development, Technoeconomics & Mngement Reserch, no. 8, (014), pp [] C. Limeng, Sttus Quo of technology innovtion reserch in Chin, Contemporry Economics, no. 1, (014), pp [3] G. Xiomei, W. Jinfng nd X. Bin, Solutions to promote technology innovtion in SME, Science of Science nd Mngement of S. T, no. 1, (005), pp [4] S. Shude, Review of Reserch on Technology Innovtion Cpility Assessment of Firm, Science nd Technology Mngement Reserch, no. 10, (013), pp [5] Z. Hu, Evlution of corporte technology innovtion cpcity sed on improved DEA model, Chinese Journl of Systems Science, no. 4, (010), pp [6] Z. Ying nd D. Weiping, Evlution index system of technology innovtion diffusion, Productivity Reserch, no. 0, (007), pp [7] Z. Yongyue, M. Zhiqing nd C. Yongqing, Multilevel comprehensive evlution of corporte technology innovtion environment, Science & Technology Progress And Policy, vol. 7, no. 9, (010), pp [8] Y. Qin, Appliction of fuzzy comprehensive evlution method in evlution of technology innovtion projects, Project Mngement Technology, vol. 11, no. 5, (013), pp [9] W. Fn nd L. Jin, Evlution system of Corporte technology innovtion cpcity sed on customer knowledge, Science & Technology Progress nd Policy, vol. 30, no. 10, (013), pp [10] W. Ti-Chun, Y. Ai-Jun nd B. U. Ling-feng, Mechnism scheme design sed on multi-ttriute extension gry relevnt optimized decision-mking model, Systems Engineering-Theory & Prctice, vol. 33, no. 9, (013), pp [11] H. Tu, J. Zhihong nd Z. Qiulin, Heterogeneous network selection lgorithm sed onextension theory nd fuzzy nlytic hierrchy process, Journl of Computer Applictions, vol. 31, no. 9, (011), pp [1] R. Yundn nd R. Ynnin, An Overll Evlution Method for Mold Design Schemes of Complex Cvity Bsed on the Extension Methodology, Mechnicl Science nd Technology for Aerospce Engineering, vol. 3, no. 4, (013), pp [13] T.-C. Wng, A.-J. Yng nd S.-S. Zhong, Multi-Attriute Extension Fuzzy Optimized Decision- Mking Model Of Scheme Design, Tehnički vjesnik/technicl Gzette, vol. 1, no., (014), pp [14] C. Wen nd Y. Chunyn, Bsic theories nd method system of extenics, Chinese Science Bulletin, vol. 58, no. 13, (013), pp [15] Z. Hongsheng nd W. Zhengying, Product design sed Multi-ttriute extension decision-mking model nd its ppliction, Journl of Chinese Computer Systems, vol. 35, no. 5, (014), pp Copyright c 015 SERSC 361

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