سیستمی درباره حداکثرسازی ارزش کسب و کار الکترونیکی خدمات طراحی تراشه از طریق چارچوب ساختار تصمیم گیری چند معیاره جدید
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|3789||2011||16 صفحه PDF||سفارش دهید||محاسبه نشده|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Expert Systems with Applications, Volume 38, Issue 7, July 2011, Pages 7947–7962
As the IC (integrated circuit) industry migrates to the System-on-Chip (SOC) era, the SOC design service industry is emerging. Meanwhile, in the past decade, the emergence of Internet has changed the high technology marketing approaches while e-commerce has already become one of the most efficient marketing channels. Thus, most leading SOC design service firms tried to leverage novel e-commerce business models to provide better services including online silicon intellectual property (SIP) sourcing, transactions, integration, etc. to assist customers in enhancing their innovation competences to shorten their time to market and thus, time to money. However, defining appropriate e-business models for commercializing new SIPs or SOC design services is not easy for both aspects of technology as well as business development. On one hand, from the aspect of technology, the technical site R&D or production managers are familiar with SOC technologies while do not really understand the needs of customers’ over the Internet. On the other hand, from the aspect of business development, the sales or marketing managers may be familiar with online customers’ needs, wants as well as demands while are unfamiliar to SOC technology developments. To overcome the above mentioned problems, an appropriate e-business model definition framework can overcome this cognitive gap and maximize the value-added of online SOC design services. In this paper, a novel analytic framework based on the concept of design service customers’ competence set expansions by leveraging high technology service firms’ capabilities and resources as well as novel multiple criteria decision making (MCDM) techniques, will be proposed. The framework being proposed can be leveraged by the design service firms to define an appropriate e-business model for possible SIP or design service businesses. Based on the proposed MCDM framework, an empirical study of an SIP commercialization e-business model definition inside an SIP Mall, an SIP e-commerce mechanism being operated by a SOC design service firm, will be provided for verifying the effectiveness of this novel analytic framework. The feasibility of the proposed framework in the real world can be verified by the empirical study. In the future, the novel MCDM framework can be applied to novel e-business model definitions in the SOC design service or other high technology industries.
In the past decade, the Internet has become an enabling technology in almost any industry and as part of almost any strategy (Porter, 2001). Uses of the Internet and e-commerce have converted the traditional way of running business and have thoroughly changed the channel of enterprise transactions (Shaw, Gardner, & Thomas, 1997). As industries in general, and high technology industries in special, are being reshaped and the nature of competition changes (Raisinghani, Meade, & Schkade, 2007), deciding on an e-business model, a competition strategy for the marketplace and a structure of business processes for the entire electronic trade course (Wang, 2001), has become daily important for modern high technology firms. As stated by Young and Johnston (2003), there are a number of traditional business strategy theories that have been used to discuss business-to-business (B2B) e-commerce strategies: transaction cost economics, resource-based view, Porter’s market forces theory, and channel theory. However, there currently exists no comprehensive framework linking these theories into a method to rigorously assess value delivery strategies, and in particular to determine how to maximize the impact of the Internet as a value delivery channel (Young & Johnston, 2003). Raisinghani et al. (2007) also mentioned that although the strategy to rebuild a robust e-business model has not been as widely implemented as had been anticipated, it has had a significant influence on company performance. Moreover, as the IC (integrated circuit) industry migrates to the System-on-Chip (SOC) era, a novel business model, the SOC design services, is emerging. Now, when the Internet is emerging while e-commerce has already become one of the most efficient marketing channels, most leading design service firms tried to leverage novel e-commerce business models to provide better services. The novel design services include online silicon intellectual property (SIP) sourcing, transactions, integration, etc. to assist customers of SOC design services in enhancing their innovation competences (INCs). The INCs, critical capabilities as well as resources for commercializing SOCs or SIPs, can shorten the time to market and thus, time to money, of both SOC design firms’ and design service customers’. However, defining appropriate SOC design service e-business models are not easy. On the technical site, R&D or production managers of the SOC design service firms are familiar with SOC technologies while do not really understand the needs of customers’ over the Internet. On the business site, sales or marketing managers of the SOC design service firms are familiar with online customers’ needs, wants as well as demands while are unfamiliar to SOC technology developments. Thus, how to establish a decision support framework for defining appropriate SOC design service e-business models to commercialize new SOC/SIP products or services has already become one of the most critical issues for the SOC design service firms. Meanwhile, the proposed framework can also enhance insufficient linkages between traditional business strategy theories and value delivery strategies through the Internet which was mentioned by Young and Johnston (2003) as well as Raisinghani et al. (2007). Therefore, this research aims to establish a novel multiple criteria decision making (MCDM) framework, which intends to link between INCs being required by novel SOC design services. The proposed MCDM framework intends to maximize values of both the SOC design service e-business models and end SOC products of SOC design service customers’. The INCs, or evaluation criteria, are first summarized using the Delphi method. Then, the relationships between the criteria will be derived by DEMATEL (Decision Making Trial and Evaluation Laboratory). The weights of each criterion versus the goal of the MCDM problem, maximizing the values of SOC design services e-business models, then will be derived based on the structure of the decision problem by using the Analytic Network Process (ANP). After the criteria are derived, the relationships between the INCs (criteria) as well as e-business models will be derived by using the grey relational analysis (GRA) based on the weights of each criterion being derived by the ANP. Finally, the most appropriate e-business model with the highest grey grades which may compensate the current INCs of SOC design service e-business customers and maximize the value of customer’s products and thus, the value of the high technology e-commerce channel, will be selected. A case study on commercializing a silicon intellectual property (SIP) being developed by an IC design house through an SIP Mall, a web based SIP e-commerce mechanism, being operated by an SOC design service firm will be used for demonstrating the effectiveness of the novel MCDM method. The case study results demonstrated that the IP commercialization model of the SIP Mall which may assist a small-scale IC design house without enough resources to commercialize its SIP products and maximize the SIP value through SIP verification, qualification, marketing, sales, technical supports, etc. will be the most appropriate e-business model to maximize the value of this SIP. The remainder of this paper is organized as follows: In Section 2, the concepts of innovation, INCs, e-business models, e-business model evaluation and INC set expansion are introduced. In Section 3, an analytic framework and methods are proposed for constructing the evaluation criteria and e-business models’ definitions. The background of the SOC design service, SIP, SIP market and SIP e-business models will be described in Section 4. Then in Section 5, a case study follows, defining an e-business model for commercializing an SIP being developed by an IC design house which is in lack of SIP commercialization resources. Discussion will be presented in Section 6. Section 7 will conclude the whole article with observations, conclusions and recommendations for further study.
نتیجه گیری انگلیسی
The emergence of the Internet has changed the high technology marketing channels at the moment when e-commerce has already become one of the most efficient channels. High technology firms may skip the intermediaries and reach end customers directly. Albeit a number of traditional business strategy theories have been used to discuss e-commerce strategy, few comprehensive frameworks linking these theories into methods to rigorously assess value delivery strategies as well as Internet impact maximization. Thus, this research proposed an e-business model definition method to overcome the above mentioned cognitive gap by developing a novel MCDM methodology to choose the appropriate e-business model for enabling the SIP transactions by Delphi, DEMATEL, ANP and GRA. Following are conclusions and recommendations. In this research, an SIP Mall based e-commerce model to maximize the value of an SIP is recommended based on INCs derived with the Delphi. A recommended e-business model was derived by mapping INCs to the feasible e-business models by GRA with weights of each criterion being derived by the DEMATEL and the ANP. Finally, an empirical analysis based on Taiwan’s SOC industry is provided to illustrate the analytic procedures. The authors found that IP commercialization is the most efficient e-business model which may compensate an SIP provider’s insufficiency of innovation capabilities. Furthermore, strategies for enhancing the e-business model being selected to reach the aspired levels of INCs were suggested also. For future research, applications of the analytic framework for e-business model definitions of other industries or other innovative services will be appropriate topics for studies.