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Mingxia Zhao, Changhong Li, "Motivation Mechanism Prevents Adverse Selection in Industrial Technology Innovation Strategic Alliance", Discrete Dynamics in Nature and Society, vol. 2014, Article ID 463956, 8 pages, 2014. https://doi.org/10.1155/2014/463956
Motivation Mechanism Prevents Adverse Selection in Industrial Technology Innovation Strategic Alliance
Choosing proper partners is the key to the success of the alliance. Based on the analysis of the characters of the Industrial Technology Innovation Strategic Alliance, a new kind of cooperative organization occurred in China in recent years. The problem of “adverse selection” at the stage of the its establishment is discussed in this paper. The game model is built based on motivation theory and the principle-agent theory and then proved by examples. The conclusions can be got from the model. By setting the ranges of funds, preferential policy, and sharable profits and designing membership rules, the organizer of the Industrial Technology Innovation Strategic Alliance can motivate the risk neutral applicant to reveal his real capacity and the one with higher capacity to participate intothe alliance more actively and even can set capacity threshold for applicants implicitly.
Along with the practice and research of the industry-university-research combination, a new type of organization for technological innovation, the Industrial Technology Innovation Strategic Alliance occurred in China in recent years. The first four pilot programs, technology innovation strategic alliances for circulation flow of iron and steel, new generation of coal (energy resources) chemical industry, exploitation of coal, and agricultural equipment, started in 2007. According to the definition by Chinese six ministries and commissions in 2008, the Industrial Technology Innovation Strategic Alliance (ITISA) is a cooperation organization for technology innovation, which is combined by enterprises, universities, scientific research institutions, and other organizations, based on the common needs and interests, ensured by legal contracts. It aims to improve the industrial technical innovation ability via joint exploitation, complementary advantages, pooling of interest, and risk .
As a kind of cooperation forms among organizations, the alliance is considered significant for product innovation widely. Effective alliance is regarded as the engine for growth or profit in markets . The enterprises are more and more dependent on alliances to develop cooperation, create values, and succeed in intensive market competition. Yet there are indications that the alliance is not perfect. The failure rate of it is estimated to reach 60–70% . The opportunism of the partner is regarded as one of the serious threats to the survival and success of the alliance [4–7]. The alliance has been threatened by high risk of opportunism along with its development . The opportunistic behavior at the stage of building mainly takes the form of “adverse selection,” behaviors like hiding real capability, “bad money drives out good,” and so on, due to information asymmetry, which would harm the success of the alliance. The opportunistic behaviors make the trusting relationship among the partners difficult to be established, raise the transaction costs among them, destroy the foundation of the alliance, and then affect the performance of the alliance, and even they cause the alliance fail . How to motivate the member to reveal his real information is the key to partner selection, and the latter is the key to the success of the alliance [9–11]. The dynamics of social relationships, such as friendship or partnership patterns, is a complex field of study .
As a new type of technology innovation cooperation organization occurred in China in recent years, yet it does not have such organization abroad which is completely in conformity with the definition of the ITISA. While interiorly, contrasting to the surging practical activities of the ITISA, corresponding theoretical researches are few, the research about the motivation preventing “adverse selection” is almost blank especially. Most existing researches about the “adverse selection” are theoretical, providing some methods and principles for motivating members to reveal real information [13–15]. In this research, we try to discuss practical motivation mechanism to prevent the “adverse selection” in the ITISA.
This paper is divided into six parts. First, the subject is put forward based on existing research findings. Then, the special problem of the “adverse selection” in the ITISA caused by its characters is discussed in Section 2. Based on motivation theory and principal-agent theory, the game model is built to design the motivation mechanism to resolve the special problem in Section 3, discussed in Section 4, and proved by some examples in Section 5. A summary and prospect for the research will be put forward finally in Section 6.
2. The Incentive Problem of Adverse Selection in ITISA
2.1. The Peculiarities of the ITISA
The ITISA is based on technology, guided by market. Its members come from government, business, universities, scientific research institutions, and other producer services such as finance, venture investment. They constitute a complete chain of technology innovation (Figure 1) containing scientific research, design, engineering, manufacture, and market.
The businesses are the best supports for the combination of technology and market, will be the dominant and key force in the alliance consequentially. The university and scientific research institution have the comparative advantages of knowledge and technology may be the main forces in technology R&D (or collaborate with the enterprises). The government mainly works as pusher, guider, supporter and technology spillover promoter, confirms with leading enterprises the technology innovation projects according to the industrial goal, market prospects and the technical problem in practice, assists to introduce the venture capital organization, but not participates in the operation of the alliance. The venture capital organization provides effective ways to get capital and evade the risk. Other producer services participate in the technology innovation process as essential auxiliary bodies, obtain compensation mainly by transaction (Figure 2).
Compared with other kinds of alliances, the ITISA has special strategic orientation, cooperation organization promoted by government, aimed at promoting the industrial technology innovation ability with high technical risks. So, besides the general characters of common alliances, such as looseness, dynamics, definition, and mutual benefit, the ITISA has some unique personalities [1, 16] as follows. It is the promotion of national innovation system in industry, the participants are more wide-ranging, and the comprehensive benefits of economy and society are more remarkable. It should aim to solve the key and general technical problems in key fields or in strategic industries identified in the Outline of National Medium and Long Term Science and Technology Development Planning (2006–2020). The technological innovation activities should favor concentrating innovational resources to form industrial technological innovation chain. It should spread the techniques to promote the development of the whole industry. The goal of it is to form industrial core competitiveness and strengthen industrial sustainable innovation ability. The members of the ITISA, as legal persons, set up long-term contractual relationship based on related laws.
ITISA is guided by needs of important technological innovation in some key fields and strategic industries. It is devoted to the research and development of the industrial generic and key technologies. The technologies needed to be overcome by the ITISA will be more difficult, and the risk faced by the ITISA will be higher than other kinds of alliances. The issue that the members come from several different fields such as industry, academe, research, politics, and finance makes the ITISA more complicated. The differences of culture and interests among the members are more outstanding; some seek economic interests, some seek technology improvement, some seek organizational reputation, and some seek good relations of cooperation. All these make it more difficult to manage .
After the technical breakthrough, the ITISA should be devoted to promoting the development of the whole industrial technology, aim at forming industrial core competitiveness and strengthening the industrial sustainable innovation ability. It should not only pursue economic interests, but also emphasize comprehensive social benefits. So, the technical achievement of it will be more like public goods. These particularities determine that the ITISA is often promoted by government, supported by many preferential policies. It also raises the opportunistic behaviors of the members to a certain extent.
So, compared with other kinds of alliances, the ITISA faces three kinds of risks: failure of technology research and development, the opportunism of the members, and complicated management, and even the risks would be higher.
2.2. The Incentive Problem of Adverse Selection in ITISA
Since the ITISA is often promoted by government with many supporting and preferential policies, its problem of “adverse selection” would be more serious. The probability of the information hiding would not decrease effectively with the increase of the qualified standard, but it would increase rapidly with the increase of trust from the leader . So, how to design reasonable mechanism to motivate the members to reveal real information will be the key to success of the ITISA.
In the principal agent relationship at the stage of the ITISA establishment, the leading institution will be the principal and the other applicants will be the agents. The problem of preventing adverse selection is mainly how to design mechanism to motivate the applicants to reveal real information and the one with higher capabilities to join in more actively.
Essentially, the ITISA is a technological innovation project team. As being aimed at the indivisible efforts and outputs in alliance, some theories and methods like work breakdown structure (WBS), project activities list, and so on in project management can be used as reference. The resources input of each project activity can be estimated. The member could choose one or several project activities as his task. This would be the basis for motivation or profit distribution.
3.1. Problem Description
Suppose that one technology innovation project consists of project activities (). In order to facilitate the management and evaluation, every activity would be resolved to be done by one member. The corresponding ITISA is formed by members. Any member can engage in project activities. leading organizations in the industry form the organizer , and other members will be selected from applicants. The organizer has absolute advantages in technology or market; it is the main power for technology innovation and is responsible for organizing the ITISA and choosing other members. Other members are also essential cooperative partners with some complementary capabilities for technology innovation.
Concretely speaking, any member of the ITISA can enjoy preferential policies which can be used to evade the risk or reduce the risk cost, reflect the importance of the government participation, and enjoy profits shared according to inputs. On the other hand, should pay unreturned funds for maintenance and coordination of the ITISA, which are essential for the development of such complicated combination and are then put in resources for technology innovation.
Since the applicants of the ITISA come from many different fields, the organizer cannot know the real capability of applicant ; it only judges from his report . The organizer sets the funds , preferential policy , and shareable profit of project activity and designs the game rules—funds according to , preferential policy , and shareable profit according to to motivate the applicant to reveal his capacity truthfully () and the one with higher capacity to participate in more actively. The member participates in the ITISA with resources input and income share in the conditions of participation constraint and incentive compatibility constraint.
3.2. Variable Design
Although the risks of technology innovation are very high, the applicants participate in the alliance with high activities because of so many preferential policies. So, we can assume the applicants are all risk neutral.
The resource input for project activity is assessed by organizer or together with the third party. It is a common view. The funds , preferential policy , and the shareable successful income of project activity are given by the organizer. Other variables in model are as follows. is the real capability of the applicant , . Only the applicant himself knows this at the stage of alliance establishment, but he can shine through in latter activities. is the reported capability of the applicant , . , and are independent. is the probability of membership of the applicant . It is positively correlated with , ( is a constant, set , ). is the probability of the success of the alliance estimated by the applicant . It is positively correlated with , ( is a constant, set , ). is the unreturned funds paid by the member . It is based on and is positively correlated with , . is the preferential policies enjoyed by every member . It is a constant . is the resources that should be put into the ITISA by the member . It is based on and is positively correlated with , . is the income that the member shared when the alliance succeed. It is based on and is positively correlated with ; that is, it is positively correlated with , .
Besides the preferential policy and sharable success, the reputation of participating into the national strategic industries and touching advanced technologies, other immeasurable benefits are not reflected in . So, we suppose the retained earnings of the applicant are 0. Since all the applicants are risk neutral, the decision of participating into the ITISA is mainly affected by his expected revenue . The expected revenue of the applicant would be
3.3. Model Building
The organizer motivates the applicant to report real capability and the one with higher capability to participate into the ITISA actively. The incentive model can be expressed as 
3.4. Model Solution
Put the variables into the model and analyze the following.
By constraint condition and , the following inequality can be got:
By constraint condition , the following equality can be got:
By constraint condition and , the following inequality can be got:
So, the problem can be changed to the following in the case of : And it is expected to reach .
According to Lagrange multiplier method, set where in it is a constant. So
The following equalities can be got from (10):
All the variables are nonnegative real numbers, and , and the following statements can be got:
Comprehensively, if (7) is true, the will be permanently established. When , in the conditions of (11)–(15), the goals of motivating the applicants to reveal real capability and the one with higher capability to participate into the ITISA more actively can be achieved.
4. Analysis of the Model
4.1. The Result of the Model
In the case that the input of project activity is the common view the organizer of the ITISA can motivate the applicant with risk neutral to reveal real capability (min), by designing the membership rules: whether the applicant can be accepted and his unreturned funds are decided by his reported capability , every member can enjoy the preferential policy and the sharable benefits is decided by his real capability ; assigning the value of , , and meets the conditions of , , , and . If , then . So the organizer can motivate the applicant with higher capability to participate in the ITISA more actively by assigning the value of cleverly and even can set capability threshold () for the applicants implicitly.
The mechanism got from the model can only motivate the applicants whose real capability . How to achieve this condition is still a knot since the organizer cannot know the real capability of the applicant beforehand. This problem concerns the following two respects.
(1) How to Identify the Applicants with ? This problem can be translated into how to confirm and lead it into the motivation mechanism. The value of can be confirmed by the evaluation mechanism beforehand. The evaluator could be organizer, professional assessment agency, or other organizations. is the real capability of the applicant ; is the evaluation of the real capability of the applicant by the evaluator. , means the real capability of the applicant is less, not less than , respectively. , means the evaluation of the real capability of the applicant is less, not less than , respectively. Suppose , , . According to practical experience, it is easy to recognize the one with poor ability and prove . So, with the aid of confident evaluation (, the organizer can choose members from the applicants whose directly. Yet this method may miss some applicants () in probability or accept some applicants () in probability . It should be improved in future research.
(2) How to Motivate the Applicants with and ? We can get the conclusions from the model: In self-interest driven (), if , then . So, the applicant would report his real capability when ; the applicant would report higher capability when and lower capability when . farer away from , the reported capability is farer away from the real capability.
How to motivate the overwhelming majority applicants with ? In another words, how to motivate all the applicants by a mechanism in the circumstance that the real capability of the applicant is unknown? We try to discuss this problem with the help of a large number of examples in the following Section 5.
Suppose the input into project activity is . It is a common view. When , . So the organizer only selects and motivates the applicants with according to . The organizer sets , , and according to the membership rules and conditions , , , , and . Suppose the applicants make decision and action in self-interest driven (). The model and result will be discussed and proved by the following examples.
5.1. , Can Take Any Value
Suppose , , and ; that is, . Discuss and prove the decision and action of the applicants with any real capability. The result of calculation is in Table 1.
5.2. , Can Take Any Value
Suppose , , and ; that is. Discuss and prove the decision and action of the applicants with any real capability. The result of calculation is in Table 2.
5.3. , Can Take Any Value
Suppose , , and ; that is, . Discuss and prove the decision and action of the applicants with any real capability. The result of calculation is in Table 3.
Thesis 1. , the initiative of the applicant to participate into the ITISA would be higher with higher ; , to the applicant with capacity lower than , the initiative of the applicant would be higher with lower capacity; , to the applicant with capacity higher than , the initiative of the applicant would be higher with higher capacity.
Thesis 2. , the reported capability of the applicant would be higher with higher , and when , ; , , to the applicant with capacity lower than , the reported capability of the applicant would be higher with lower capacity; , to the applicant with capacity higher than , the reported capability of the applicant will be higher with higher capacity, and when , .
Thesis 3. , when the applicant would incline to report higher capacity than real one. The problem would be more serious with higher or . But the room between them would decrease when or since .
Thesis 4. The applicant would incline to report higher capacity than real one when and or . The problem would be more serious with higher or . But the room between them would decrease when or since .
Thesis 5. The applicant would incline to report lower capacity than real one when , and . The problem would be more serious with lower or higher .
Thesis 6. When and , or and , the applicant would report his real capability.
6. Conclusions and Future Research
Whether the partner selection is proper is the key to the success of the alliance. According to the analysis of the characters of the ITISA, a new kind of cooperative organization occurred in China in recent years and the problem of “adverse selection” at the stage of the its establishment is discussed in this paper. Based on the motivation, project management, and game theories and methods, the motivation model preventing the “adverse selection” is built and then discussed and proved by examples. The conclusions can be got from the model. The organizer of the ITISA can motivate the applicant with risk neutral to reveal real capability (min) by designing reasonable membership rules, setting the ranges of funds , preferential policy and sharable profits of each project activity to meet the following conditions:
If , then , so the organizer can motivate the applicant with higher capability to participate in the ITISA more actively by assigning the value of cleverly and even can set capability threshold () for the applicants implicitly.
Besides referring to some existing research findings, we make some new attempts: introducing the evaluation mechanism and conditional probability into the research for preliminary selection of the applicants, introducing the theory and methods of WBS in project management into the research for discussing the inputs of the ITISA, and introducing the funds for the ITISA into the model. The conclusions are practical and comprehensive.
This research is aimed at designing practical motivation mechanism for preventing “adverse selection” of the risk-neutral applicants. The improvement and further research would be launched in two directions: how to confirm the applicants with and how to motivate the applicants with other kinds of risk appetites.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
This work was supported by the Ministry of Education of Humanities and Social Science Research Funds for Young (11YJC630090, 10YJC630114) and the Shanxi Soft Science Research Funds (2011041034-01, 2012041009-03).
- Ministry of Science and Technology, Ministry of Finance, Ministry of Education, State-Owned Assets Supervision and Administration Commission of the State Council, and All China Federation of Trade Unions and China Development Bank, “Guiding opinions about promotion the structure of industrial technology innovation strategic alliance by ministry of science and technology,” Guo Ke Fa Zhen, 770, 2008.
- S. Gao, Research on opportunism in asymmetric strategy alliance [Ph.D. thesis], Beijing University of Posts and Telecommunications, 2009.
- T. P. Munyon, A. A. Perryman, J.-P. Morgante, and G. R. Ferris, “Firm relationships: the dynamics of effective organization alliances,” Organizational Dynamics, vol. 40, no. 2, pp. 96–103, 2011.
- T. K. Das, “Strategic alliance temporalities and partner opportunism,” British Journal of Management, vol. 17, no. 1, pp. 1–21, 2006.
- F. Kapmeier, “Common learning and opportunistic behavior in learning alliances,” Systems Research and Behavioral Science, vol. 25, no. 4, pp. 549–573, 2008.
- T. K. Das and N. Rahman, “Determinants of partner opportunism in strategic alliances: a conceptual framework,” Journal of Business and Psychology, vol. 25, no. 1, pp. 55–74, 2010.
- C. Zhao and W. Ge, “The opportunism and defensive strategy in strategic alliances,” Science of Science and Management of S .& .T., vol. 24, no. 10, pp. 114–117, 2003.
- D. Yang, E. Xie, Y. Li, and X. Deng, “Principal-agent problem in incentive mechanism for alliance,” Operations Research and Management Science, vol. 15, no. 1, pp. 125–128, 2006.
- J.-J. Huang, G.-H. Tzeng, and C. C. Ong, “Choosing best alliance partners and allocating optimal alliance resources using the fuzzy multi-objective dummy programming model,” Journal of the Operational Research Society, vol. 57, no. 10, pp. 1216–1223, 2006.
- B. Feng, Z.-P. Fan, and J. Ma, “A method for partner selection of codevelopment alliances using individual and collaborative utilities,” International Journal of Production Economics, vol. 124, no. 1, pp. 159–170, 2010.
- W. Xue and J. Zhang, “Study on the partner selection for mutualism cooperation of high-tech enterprise alliance,” R&D Management, vol. 22, no. 1, pp. 82–89, 2010.
- S. Hassan, M. Salgado, and J. Pavón, “Friendship dynamics: modelling social relationships through a fuzzy agent-based simulation,” Discrete Dynamics in Nature and Society, vol. 2011, Article ID 765640, 19 pages, 2011.
- Y. Guo, S. Zhang, B. Guo, and Y. Leng, “Study of strategy on contract scheme for partner selection in strategic alliance,” Journal of Systems Engineering, vol. 19, no. 5, pp. 477–481, 2004.
- L. Shaohua, “The inspiritment mechanism during virtual enterprise constructing,” Operations Research and Management Science, vol. 12, no. 3, pp. 102–105, 2003.
- W. Meng, Y. Zhou, and J. Yang, “Incentive mechanism in the “principal-members” strategic alliance,” Industrial Engineering Journal, vol. 14, no. 1, pp. 6–10, 2011.
- Ministry of Science and Technology, “The implementation of promoting the structure and development of the industrial technology innovation strategic alliance (for Trial Implementation), (Guo Ke Fa Zhen), No.648,” 2009.
- F. T. Rothaermel and D. L. Deeds, “Alliance type, alliance experience and alliance management capability in high-technology ventures,” Journal of Business Venturing, vol. 21, no. 4, pp. 429–460, 2006.
- L. Xu, G. Kannan, X. Yang, J. Li, and X. Zhao, “Pricing and allotment in a sea-cargo supply chain with reference effect: a dynamic game approach,” Discrete Dynamics in Nature and Society, vol. 2013, Article ID 162563, 10 pages, 2013.
Copyright © 2014 Mingxia Zhao and Changhong Li. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.