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Proceedings of the 2nd International Conference on Current Trends in Engineering and Management ICCTEM -2014 
INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING 
17 – 19, July 2014, Mysore, Karnataka, India 
AND TECHNOLOGY (IJMET) 
ISSN 0976 – 6340 (Print) 
ISSN 0976 – 6359 (Online) 
Volume 5, Issue 9, September (2014), pp. 141-144 
© IAEME: www.iaeme.com/IJMET.asp 
Journal Impact Factor (2014): 7.5377 (Calculated by GISI) 
www.jifactor.com 
141 
 
IJMET 
© I A E M E 
STARTUPS AND CLIENTS PERSPECTIVE ON TECHNOLOGY BUSINESS 
INCUBATORS PERFORMANCE 
Vinay K B1, Dr. Santosh Kumar A. N2 
1Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India 
2Department of Mechanical Engineering, Sri Jayachamarajendra College of Engineering, Mysore, Karnataka, India 
ABSTRACT 
Technology and entrepreneurship often push national economies towards their developmental destinations. 
Technology business incubators have become popular because of economic development strategies like promoting 
technology/knowledge-based businesses, culture of techno-preneurship, creation of value added new jobs, Technology 
commercialization, interfacing and networking of academic – RD – industries and financial institutions, value added 
services to its tenants as well as to the existing technology dominated Small and Medium Enterprises (SME) and also 
technology upgradation activities. Though TBI’s are generally considered to be a major facilitator of Technology 
Business Enterprises (TBI’s), the experience of their effectiveness has been mixed, especially in the emerging 
economies’ context. Even though few of the factors have been identified there is no evidence of it being considered by 
the practicing incubators. Also, most of the researches done so far are incubators centric but has not given due 
importance to Startups and Clients who actually graduate out of it. It is against the background of such diversity of 
experiences that comprehensive investigation has been undertaken to assess the roles played by the Startups and Clients 
and identify key drivers and inhibitors. 
Key words: TBI, Startups, Clients, Drivers, Inhibitors. 
1. INTRODUCTION 
The importance of new technology-based firms to the economy is now widely recognized not only by the 
western industrialized world, but also by many countries at large, from Asia to Africa. New technology-based firms make 
significant economic growth in the creation of new jobs. 
Another important contribution of new technology-based firms is their catalyzing role to technology and 
knowledge accumulation process of innovation system. However in reality, among the success stories of the emerging of 
new technology-based firms, many have failed and collapsed in the early years of their establishment. The firms found a 
difficulty to develop their innovation capacity. The dilemma that always appears is the choice between to keep 
innovating (exploring a new market) and exploiting the existing market. 
Technology based enterprises are especially attractive to policy-makers because of their higher potential for job 
creation and wealth generation through business growth as well as their lower disappearance rates compared to non-technology 
based firms. As new technologies are often developed in RD institutions, it was such institutions in the 
Western nations that first took the initiative of providing incubation facilities to transfer these new technologies to the 
market. The model was later used by public and private agencies for facilitating technology development for new 
ventures. Such initiatives are now known by the common name of Technology Business Incubators (TBI), some of which 
are focused on technology transfer and others on Technology development for new ventures.
Proceedings of the 2nd International Conference on Current Trends in Engineering and Management ICCTEM -2014 
17 – 19, July 2014, Mysore, Karnataka, India 
142 
 
In spite of the fact that development of SME are key to economic growth and achievement, many believe that 
new firms and to some extent even the established firms fail due to poor managerial skills, capital deficiency and 
difficulty in understanding and capturing the market. In order to overcome these deficiencies, entrepreneurs have started 
looking towards incubators for value added services. Though TBI’s are generally considered to be a major facilitator of 
Technology Business Enterprises, the experience of their effectiveness has been mixed, especially in the emerging 
economies’ context. It is against the background of such diversity of experiences that this study undertaken. 
2. LITERATURE REVIEW 
Best practice may be defined as a process that is better at delivering a particular result than any other process. 
According to Mosselman et al. [1], better means effectiveness of performance which says doing right things rather aimed 
at attainment of an activity or scheme. 
Storey [2] and Vedung [3] argue that attainment of goal is not enough to measure the outcome of an activity but 
related to expected outcomes. How the incubators are organized and managed, form the incubator best practices. 
Allen and McCluskey [4] use three criteria namely, occupancy rate, jobs creation and firms graduation to 
measure the outcome of incubators performance. Phillips [5] further adds tenant revenues, number of patent applications 
per firm and number of unsuccessful businesses for measuring best practice. 
The larger numbers of papers identifying lists of outcome criteria are by Chan and Lau [6], Colombo and 
Delmastro [7], OECD [8]. Perhaps, Mian [9], [10], provided the most comprehensive list by adding management 
policies and their effectiveness as well as value added services as outcome indicators in relation to goals. 
Alireza [11] in his research has identified influential factors that improve the effectiveness of incubators 
between developed and developing countries. According to his research, organizational procedures and entrepreneurial 
behaviors were the meaningful mediators. Organizational procedures were stronger mediator for the improvement of 
Technology Business Incubator's effectiveness in comparison to entrepreneurial behavior. 
Bearse [12] and Sherman [13] states that incubators are usually examined as if they have the same outcome 
objectives, regardless of the fact that no two incubators are alike. 
According to Allen and McCluskey [4] and Mian [9], incubators articulate objectives differently depending 
upon their sponsor’s interests. While, Bollingtoft and Ulhoi [14] say that different priorities exists within the same basic 
goals. 
Bollingtoft and Ulhoi [14], Lyons and Li [15] and Peters et al. [16] accentuates that it is not difficult to 
distinguish between incubators with different goals whether incubators are run for profit or not. Enhancing economic 
development and reducing unemployment and stimulating firms with emerging technologies are the main goals of any 
incubator. 
William and Thompson [17] have highlighted that key underlying dimensions of facilitators in a business are 
innovative needs, competitive position, environment, economies of scale and top management guidance while the 
inhibitors are the lack of economies of scale and the lack of innovative needs. 
In fact, most of the literature available focuses on business incubators, but very few literatures available on 
Technology Business Incubators. Based on the current knowledge and research of incubators there is a strong need to 
identify the various factors that contribute to the survival, growth and success of incubators that too in technology driven 
business incubators. Even though few of the factors have been identified there is no evidence of it being considered by 
the practising incubators. Also, most of the researches done so far are incubators centric but has not given due importance 
to Startups and Clients who actually graduate out of it. 
3. OBJECTIVES OF THE STUDY 
From the literature it is clearly evident that systematic and objective feasibility study of business incubators has 
been performed to identify the best practices being followed to ensure the survival of graduate firms at a significantly 
higher rate than the general population of new ventures. Graduated firms in the local area of host incubator are expected 
to benefit the incubators too and help in restoring public confidence and support. 
It becomes very essential especially in a developing country like India to identify the various factors that 
contribute to the survival, growth and success of incubators that too in technology driven business incubators. Even 
though few of the factors have been identified there is no evidence of it being considered by the practising incubators. 
Also, most of the researches done so far are incubators centric but has not given due importance to Startups and Clients 
who actually graduate out of it. Hence, the objectives of this study are to investigate and assess the roles played by the 
Startups and Clients and to identify key drivers and inhibitors that contribute further for economic growth, innovation, 
regional development, job creation and create a good entrepreneurial climate.
Proceedings of the 2nd International Conference on Current Trends in Engineering and Management ICCTEM -2014 
17 – 19, July 2014, Mysore, Karnataka, India 
143 
4. METHODOLOGY 
 
Research instruments was developed, tested and administered to managers of Technology Business incubators. 
Their responses were analyzed through factor analysis, one sample t – test and correlation analysis using statistical 
packages. 
The research results for Technology Business Incubators obtained through the statistical tool have identified 11 
dimensions. Analysis includes factor analysis for data reduction, one sample t - test to know the significance of factors 
under each dimension, followed by correlation to understand the relationship between the dimensions. 
5. RESULTS AND DISCUSSIONS 
Table 1: Significance value for various dimensions 
Dimensions 
No. of 
Factors 
Degree of 
freedom 
Sig. 
(2-tailed) 
Program Management 15 14 .000* 
Financial Support 9 8 .000* 
Incubator Goals 2 1 .048* 
Entrepreneurial Support 3 2 .000* 
Support Services 4 3 .000* 
Contribution  Development 2 1 .036* 
Graduation Policy 2 1 .027* 
Client Selection  Review 3 2 .001* 
Incubator Staff Evaluation 4 3 .000* 
Post graduation Support 3 2 .001* 
Incubator Resource 3 2 .001* 
* Significant at 0.05 level 
TABLE – 1 specifies the significance of each factor at 95% confidence level under the each dimension, which signifies 
the hypothesis stated for the purpose. Further, Correlation analysis is used to describe the strength and direction of the 
linear relationship between the two dimensions. The relationship was investigated using Pearson correlation coefficient. 
6. CONCLUSIONS AND SUGGESTIONS 
Based on the results of statistical analyses and the findings of the study following conclusions have been drawn 
as detailed below: 
 Program management are regarded as the key drivers in rolling out successful entrepreneurs. 
 Financial supports have an adverse impact with other relevant dimensions of the study. These are key inhibitors 
and sincere efforts must be made to overcome them. 
 Incubator Goals have a positive impact on the performance of incubators and are the key drivers.
Proceedings of the 2nd International Conference on Current Trends in Engineering and Management ICCTEM -2014 
17 – 19, July 2014, Mysore, Karnataka, India 
 Entrepreneurial support factors, being key drivers have positive impact on program management, incubator goals 
144 
 
and incubator resources leading to successful entrepreneurship. 
 Factors of support services are the key drivers in contributing positively towards incubator goals, contribution and 
development and graduation policy. 
 Contribution  Development as the key drivers to ensure success of startups and clients. 
 Factors of Graduation Policy are the key drivers in ensuring successful entrepreneurs. 
 Client Selection  Review, being a significant dimension contributes positively towards other relevant dimensions 
of the study and is the key drivers in effective incubation. 
 Factors of Incubator Staff Evaluation have an impact on the incubation program and hence regarded as the key 
driver. 
 The significant factors of Post graduation Support have a positive impact on the incubator performance and are 
one of the key drivers. 
 Incubator Resource have adverse impact on all the dimensions considered in the present investigation, thus its 
factors are the key inhibitors. 
7. REFERENCES 
[1] Mosselman M., Prince Y, Kemp R (2004),”Review of the methodologies to measure effectiveness of state aid to 
SMEs”, Final Report to the European Commission. 
[2] Storey D (2000),” Six steps to heaven: Evaluating the impact of public policies to support small business in 
developed economies”, The Blackwell handbook of entrepreneurship. Ed, Blackwell Publishing. 
[3] Vedung E (1998),”Utvärdering i politik och förvaltning (Evaluation in politics and administration). Student 
literature Lund. 2nd ed (1st ed. 1991). 
[4] Allen D. N, McCluskey, R. (1990),”Structure, policy, services, and performance in the business incubator 
industry. Entrepreneurship: Theory and Practice”, Vol: 15, No: 2: 61-77. 
[5] Phillips R. G. (2002),”Technology business incubators: how Phillips R. G effective as technology transfers 
mechanisms?” Technology in Society Vol: 24, No: 3: 299-316. 
[6] Chan K. F, Lau, T. (2005),”Assessing technology incubator programs in the science park: the good, the bad and 
the ugly”, Technovation Vol: 25, No: 10: 1215-1228. 
[7] Colombo M. G, Delmastro M. (2002),”How effective are technology incubators? Evidence from Italy. Research 
Policy Vol: 31, No: 7: 1103-1122. 
[8] OECD (1997),”Technology incubators: nurturing small firms”, Background report for the Workshop on 
Technology Incubators, 25 June, Paris. 
[9] Mian, S. A. (1996b),”The university business incubator: A strategy for developing new research/technology-based 
firms”, The Journal of High Technology Management Research Vol: 7, No: 2: 191-208. 
[10] Mian, S. A. (1997),”Assessing and managing the university technology business incubator: An integrative 
framework,” Journal of Business Venturing Vol: 12, No: 4: 251-285. 
[11] Alireza Ghasemizad (2009),”A Study of Factors Influencing the Improvement of Technology Business 
Incubator's Effectiveness: An Explanatory Model”, World Academy of Science, Engineering and Technology, 
1193-1199. 
[12] Bearse P. (1998),”A Question of Evaluation: NBIA's Impact Assessment of Business Incubators”, Economic 
Development Quarterly Vol: 12, No: 4: 322-333. 
[13] Sherman H. F. (1999),”Assessing the intervention effectiveness of business incubation programs on new business 
start-ups,” Journal of Developmental Entrepreneurship Vol: 4, No: 2: 117-133. 
[14] Bollingtoft A, Ulhoi J. P. (2005),”The networked business incubator--leveraging entrepreneurial agency?” 
Journal of Business Venturing Vol: 20, No: 2: 265-290. 
[15] Lyons T. S. Li S. (2003),”The State of the Wisconsin Incubation Industry in 2002: An Analysis of the Results of 
the Survey of Membership” Report prepared for The Wisconsin Business Incubation Association. 
[16] Peters L, Rice M, Sundararajan M (2004),”The Role of Incubators in the Entrepreneurial Process”, Journal of 
Technology Transfer Vol: 29, No: 1:83-91. 
[17] William R. King, Thompson S.H. Teo (1996), “Key Dimensions of Facilitators and Inhibitors for the Strategic 
Use of Information Technology”, Journal of Management Information Systems, Vol. 12, No. 4, 35-53.

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Startups and clients perspective on technology business incubators performance

  • 1. Proceedings of the 2nd International Conference on Current Trends in Engineering and Management ICCTEM -2014 INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING 17 – 19, July 2014, Mysore, Karnataka, India AND TECHNOLOGY (IJMET) ISSN 0976 – 6340 (Print) ISSN 0976 – 6359 (Online) Volume 5, Issue 9, September (2014), pp. 141-144 © IAEME: www.iaeme.com/IJMET.asp Journal Impact Factor (2014): 7.5377 (Calculated by GISI) www.jifactor.com 141 IJMET © I A E M E STARTUPS AND CLIENTS PERSPECTIVE ON TECHNOLOGY BUSINESS INCUBATORS PERFORMANCE Vinay K B1, Dr. Santosh Kumar A. N2 1Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India 2Department of Mechanical Engineering, Sri Jayachamarajendra College of Engineering, Mysore, Karnataka, India ABSTRACT Technology and entrepreneurship often push national economies towards their developmental destinations. Technology business incubators have become popular because of economic development strategies like promoting technology/knowledge-based businesses, culture of techno-preneurship, creation of value added new jobs, Technology commercialization, interfacing and networking of academic – RD – industries and financial institutions, value added services to its tenants as well as to the existing technology dominated Small and Medium Enterprises (SME) and also technology upgradation activities. Though TBI’s are generally considered to be a major facilitator of Technology Business Enterprises (TBI’s), the experience of their effectiveness has been mixed, especially in the emerging economies’ context. Even though few of the factors have been identified there is no evidence of it being considered by the practicing incubators. Also, most of the researches done so far are incubators centric but has not given due importance to Startups and Clients who actually graduate out of it. It is against the background of such diversity of experiences that comprehensive investigation has been undertaken to assess the roles played by the Startups and Clients and identify key drivers and inhibitors. Key words: TBI, Startups, Clients, Drivers, Inhibitors. 1. INTRODUCTION The importance of new technology-based firms to the economy is now widely recognized not only by the western industrialized world, but also by many countries at large, from Asia to Africa. New technology-based firms make significant economic growth in the creation of new jobs. Another important contribution of new technology-based firms is their catalyzing role to technology and knowledge accumulation process of innovation system. However in reality, among the success stories of the emerging of new technology-based firms, many have failed and collapsed in the early years of their establishment. The firms found a difficulty to develop their innovation capacity. The dilemma that always appears is the choice between to keep innovating (exploring a new market) and exploiting the existing market. Technology based enterprises are especially attractive to policy-makers because of their higher potential for job creation and wealth generation through business growth as well as their lower disappearance rates compared to non-technology based firms. As new technologies are often developed in RD institutions, it was such institutions in the Western nations that first took the initiative of providing incubation facilities to transfer these new technologies to the market. The model was later used by public and private agencies for facilitating technology development for new ventures. Such initiatives are now known by the common name of Technology Business Incubators (TBI), some of which are focused on technology transfer and others on Technology development for new ventures.
  • 2. Proceedings of the 2nd International Conference on Current Trends in Engineering and Management ICCTEM -2014 17 – 19, July 2014, Mysore, Karnataka, India 142 In spite of the fact that development of SME are key to economic growth and achievement, many believe that new firms and to some extent even the established firms fail due to poor managerial skills, capital deficiency and difficulty in understanding and capturing the market. In order to overcome these deficiencies, entrepreneurs have started looking towards incubators for value added services. Though TBI’s are generally considered to be a major facilitator of Technology Business Enterprises, the experience of their effectiveness has been mixed, especially in the emerging economies’ context. It is against the background of such diversity of experiences that this study undertaken. 2. LITERATURE REVIEW Best practice may be defined as a process that is better at delivering a particular result than any other process. According to Mosselman et al. [1], better means effectiveness of performance which says doing right things rather aimed at attainment of an activity or scheme. Storey [2] and Vedung [3] argue that attainment of goal is not enough to measure the outcome of an activity but related to expected outcomes. How the incubators are organized and managed, form the incubator best practices. Allen and McCluskey [4] use three criteria namely, occupancy rate, jobs creation and firms graduation to measure the outcome of incubators performance. Phillips [5] further adds tenant revenues, number of patent applications per firm and number of unsuccessful businesses for measuring best practice. The larger numbers of papers identifying lists of outcome criteria are by Chan and Lau [6], Colombo and Delmastro [7], OECD [8]. Perhaps, Mian [9], [10], provided the most comprehensive list by adding management policies and their effectiveness as well as value added services as outcome indicators in relation to goals. Alireza [11] in his research has identified influential factors that improve the effectiveness of incubators between developed and developing countries. According to his research, organizational procedures and entrepreneurial behaviors were the meaningful mediators. Organizational procedures were stronger mediator for the improvement of Technology Business Incubator's effectiveness in comparison to entrepreneurial behavior. Bearse [12] and Sherman [13] states that incubators are usually examined as if they have the same outcome objectives, regardless of the fact that no two incubators are alike. According to Allen and McCluskey [4] and Mian [9], incubators articulate objectives differently depending upon their sponsor’s interests. While, Bollingtoft and Ulhoi [14] say that different priorities exists within the same basic goals. Bollingtoft and Ulhoi [14], Lyons and Li [15] and Peters et al. [16] accentuates that it is not difficult to distinguish between incubators with different goals whether incubators are run for profit or not. Enhancing economic development and reducing unemployment and stimulating firms with emerging technologies are the main goals of any incubator. William and Thompson [17] have highlighted that key underlying dimensions of facilitators in a business are innovative needs, competitive position, environment, economies of scale and top management guidance while the inhibitors are the lack of economies of scale and the lack of innovative needs. In fact, most of the literature available focuses on business incubators, but very few literatures available on Technology Business Incubators. Based on the current knowledge and research of incubators there is a strong need to identify the various factors that contribute to the survival, growth and success of incubators that too in technology driven business incubators. Even though few of the factors have been identified there is no evidence of it being considered by the practising incubators. Also, most of the researches done so far are incubators centric but has not given due importance to Startups and Clients who actually graduate out of it. 3. OBJECTIVES OF THE STUDY From the literature it is clearly evident that systematic and objective feasibility study of business incubators has been performed to identify the best practices being followed to ensure the survival of graduate firms at a significantly higher rate than the general population of new ventures. Graduated firms in the local area of host incubator are expected to benefit the incubators too and help in restoring public confidence and support. It becomes very essential especially in a developing country like India to identify the various factors that contribute to the survival, growth and success of incubators that too in technology driven business incubators. Even though few of the factors have been identified there is no evidence of it being considered by the practising incubators. Also, most of the researches done so far are incubators centric but has not given due importance to Startups and Clients who actually graduate out of it. Hence, the objectives of this study are to investigate and assess the roles played by the Startups and Clients and to identify key drivers and inhibitors that contribute further for economic growth, innovation, regional development, job creation and create a good entrepreneurial climate.
  • 3. Proceedings of the 2nd International Conference on Current Trends in Engineering and Management ICCTEM -2014 17 – 19, July 2014, Mysore, Karnataka, India 143 4. METHODOLOGY Research instruments was developed, tested and administered to managers of Technology Business incubators. Their responses were analyzed through factor analysis, one sample t – test and correlation analysis using statistical packages. The research results for Technology Business Incubators obtained through the statistical tool have identified 11 dimensions. Analysis includes factor analysis for data reduction, one sample t - test to know the significance of factors under each dimension, followed by correlation to understand the relationship between the dimensions. 5. RESULTS AND DISCUSSIONS Table 1: Significance value for various dimensions Dimensions No. of Factors Degree of freedom Sig. (2-tailed) Program Management 15 14 .000* Financial Support 9 8 .000* Incubator Goals 2 1 .048* Entrepreneurial Support 3 2 .000* Support Services 4 3 .000* Contribution Development 2 1 .036* Graduation Policy 2 1 .027* Client Selection Review 3 2 .001* Incubator Staff Evaluation 4 3 .000* Post graduation Support 3 2 .001* Incubator Resource 3 2 .001* * Significant at 0.05 level TABLE – 1 specifies the significance of each factor at 95% confidence level under the each dimension, which signifies the hypothesis stated for the purpose. Further, Correlation analysis is used to describe the strength and direction of the linear relationship between the two dimensions. The relationship was investigated using Pearson correlation coefficient. 6. CONCLUSIONS AND SUGGESTIONS Based on the results of statistical analyses and the findings of the study following conclusions have been drawn as detailed below: Program management are regarded as the key drivers in rolling out successful entrepreneurs. Financial supports have an adverse impact with other relevant dimensions of the study. These are key inhibitors and sincere efforts must be made to overcome them. Incubator Goals have a positive impact on the performance of incubators and are the key drivers.
  • 4. Proceedings of the 2nd International Conference on Current Trends in Engineering and Management ICCTEM -2014 17 – 19, July 2014, Mysore, Karnataka, India Entrepreneurial support factors, being key drivers have positive impact on program management, incubator goals 144 and incubator resources leading to successful entrepreneurship. Factors of support services are the key drivers in contributing positively towards incubator goals, contribution and development and graduation policy. Contribution Development as the key drivers to ensure success of startups and clients. Factors of Graduation Policy are the key drivers in ensuring successful entrepreneurs. Client Selection Review, being a significant dimension contributes positively towards other relevant dimensions of the study and is the key drivers in effective incubation. Factors of Incubator Staff Evaluation have an impact on the incubation program and hence regarded as the key driver. The significant factors of Post graduation Support have a positive impact on the incubator performance and are one of the key drivers. Incubator Resource have adverse impact on all the dimensions considered in the present investigation, thus its factors are the key inhibitors. 7. REFERENCES [1] Mosselman M., Prince Y, Kemp R (2004),”Review of the methodologies to measure effectiveness of state aid to SMEs”, Final Report to the European Commission. [2] Storey D (2000),” Six steps to heaven: Evaluating the impact of public policies to support small business in developed economies”, The Blackwell handbook of entrepreneurship. Ed, Blackwell Publishing. [3] Vedung E (1998),”Utvärdering i politik och förvaltning (Evaluation in politics and administration). Student literature Lund. 2nd ed (1st ed. 1991). [4] Allen D. N, McCluskey, R. (1990),”Structure, policy, services, and performance in the business incubator industry. Entrepreneurship: Theory and Practice”, Vol: 15, No: 2: 61-77. [5] Phillips R. G. (2002),”Technology business incubators: how Phillips R. G effective as technology transfers mechanisms?” Technology in Society Vol: 24, No: 3: 299-316. [6] Chan K. F, Lau, T. (2005),”Assessing technology incubator programs in the science park: the good, the bad and the ugly”, Technovation Vol: 25, No: 10: 1215-1228. [7] Colombo M. G, Delmastro M. (2002),”How effective are technology incubators? Evidence from Italy. Research Policy Vol: 31, No: 7: 1103-1122. [8] OECD (1997),”Technology incubators: nurturing small firms”, Background report for the Workshop on Technology Incubators, 25 June, Paris. [9] Mian, S. A. (1996b),”The university business incubator: A strategy for developing new research/technology-based firms”, The Journal of High Technology Management Research Vol: 7, No: 2: 191-208. [10] Mian, S. A. (1997),”Assessing and managing the university technology business incubator: An integrative framework,” Journal of Business Venturing Vol: 12, No: 4: 251-285. [11] Alireza Ghasemizad (2009),”A Study of Factors Influencing the Improvement of Technology Business Incubator's Effectiveness: An Explanatory Model”, World Academy of Science, Engineering and Technology, 1193-1199. [12] Bearse P. (1998),”A Question of Evaluation: NBIA's Impact Assessment of Business Incubators”, Economic Development Quarterly Vol: 12, No: 4: 322-333. [13] Sherman H. F. (1999),”Assessing the intervention effectiveness of business incubation programs on new business start-ups,” Journal of Developmental Entrepreneurship Vol: 4, No: 2: 117-133. [14] Bollingtoft A, Ulhoi J. P. (2005),”The networked business incubator--leveraging entrepreneurial agency?” Journal of Business Venturing Vol: 20, No: 2: 265-290. [15] Lyons T. S. Li S. (2003),”The State of the Wisconsin Incubation Industry in 2002: An Analysis of the Results of the Survey of Membership” Report prepared for The Wisconsin Business Incubation Association. [16] Peters L, Rice M, Sundararajan M (2004),”The Role of Incubators in the Entrepreneurial Process”, Journal of Technology Transfer Vol: 29, No: 1:83-91. [17] William R. King, Thompson S.H. Teo (1996), “Key Dimensions of Facilitators and Inhibitors for the Strategic Use of Information Technology”, Journal of Management Information Systems, Vol. 12, No. 4, 35-53.