7,138 research outputs found

    Value co-creation characteristics and creativity-oriented customer citizenship behavior

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    For the competitive advantage of service organization, it is important to improve the creative performance of human resources in the organization. For example, when employees perform creatively, in other words, if they generate novel and useful ideas, it will contribute to organizational competiveness. Therefore, there has been an increased focus in identifying its antecedents and consequences. Unfortunately, little is known about the creative performance of customers. According to service-centered dominant logic, customer is the value co-creator, it emphasizes co-opting customer involvement in the value creation process as an additional human resource. In addition, customers can be a valuable resource for service improvement efforts for firms. For instance, companies might benefit greatly from customer feedback and complaints regarding their offerings and can enhance their productivity in terms of quality and quantity. In this paper, the type of novel, creative-oriented customer behaviors highlighted in the preceding paragraph are referred to as creativity-oriented customer citizenship behaviors (CCBs). In the customer value co-creation context, creative-oriented CCBs refer to extra-role efforts by customers with regards the development of ideas about products, practices, services, and procedures that are novel and potentially useful to a firm. According to the intrinsic motivation perspective, the context in which customers create values, influences their intrinsic motivation, which in turn affects creativity-oriented CCBs. The intrinsic motivation perspective suggests that high intrinsic motivation is affected by information from both task characteristics (i.e., autonomy) and social characteristics (e.g., supplier support). Specifically, complex and challenging task characteristics such as high levels of variety, identity, significance, autonomy, and feedback are expected to increase customer intrinsic motivation. Under these conditions, customers should increase the likelihood of creativity-oriented CCBs. Therefore, customers are expected to be most creative when they experience a high level of intrinsic motivation. In contrast, complex and challenging task and social characteristics can have the opposite effect to customers. For example, in a high level of variety task, increased autonomy can lead to increased workload because they must take on related extra responsibilities and accountability. Increased workload, in turn, is expected to lead to decreased likelihood of creativity-oriented CCBs. Therefore, this study attempts to explore the impact of task characteristics and social characteristics on creativity-oriented CCBs. Furthermore, a substantial body of research has examined the possibility that creativity is affected by personal characteristics. As such, in addition to the relevant task and social characteristics, the moderating influence of several trait variables is also considered. This article makes several contributions. First, this study investigates the trade-off effect of the customer value co-creation related task and social characteristics by examining the underlying opposing mechanism of motivation and work overload. Second, this research provides a deeper understanding of contingency factors that systematically strengthen the relationships under consideration. Third, this study may indicate that companies seek to promote the creativity of their industrial customers and should design the tasks and social characteristics of their industrial customers in a way that maximizes their creativity. But, companies should be aware of the negative impact of specific tasks and social characteristics that may minimize the creativity of industrial customers

    Organisation of Innovation in High-Tech Industries: Acquisitions as Means for Technology Sourcing.

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    Innovation activities in the semiconductor industry provide considerable challenges for technology and innovation management. In particular, firms frequently face make-or-buy decisions and such decisions have considerable management implications. The semiconductor industry has a long history of radical innovations which are taking place through distinct industry cycles of high and low demand. The paper investigates these issues for the Electronic Design Automation industry which is a specific sub-segment of the semiconductor industry. Based on database searches and structured interviews, the paper analyses empirically the reasons for make or buy decisions with regard to innovation and the level of acquisition activities of innovative small firms in the Electronic Design Automation industry. This analysis is supported by an analysis of the SEC filings of large firms in the Electronic Design Automation industry.

    ํƒํ—˜์  ํ˜์‹ ์„ ์ด‰์ง„ํ•˜๋Š” ๊ธฐ์—…์˜ ๋‚ดยท์™ธ๋ถ€์  ์ง€์‹์š”์ธ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ๊ธฐ์ˆ ๊ฒฝ์˜ยท๊ฒฝ์ œยท์ •์ฑ…์ „๊ณต, 2023. 2. ๊ฐ•์ง„์•„.Exploratory innovation, which refers to the generation of something valuable by using unfamiliar knowledge obtained from exploration, has received considerable attention as an important way to gain a competitive advantage and achieve sustainable growth. The increased importance of exploratory innovation resulted in the growing interest in underlying mechanisms of innovation, such as knowledge exploration (i.e., a nonlocal search beyond the firm's current expertise) and recombinatory search framework (i.e., an analytic tool that explains the link between knowledge elements and innovation). Recently, literature on exploratory innovation has investigated a firms internal and external knowledge environments on promoting exploratory innovation with the mechanisms of innovation as an implicit premise. However, the research on exploratory innovation is still in its early stages and has focused on individual topics rather than analyzing the entire process by which a firm creates exploratory innovation. In this regard, there is room to develop the previous discussions by taking a closer look at this field. This dissertation aims to increase the academic understanding of the mechanisms of exploratory innovation by investigating two key questions: First, what characteristics of a firm's intrinsic and embedded knowledge base promote exploratory innovation?; because the knowledge base is embedded in the organization and exists in a complex form changing over time, it is necessary to consider it a dynamic collection that includes knowledge elements and their combinations rather than a simple repository of knowledge elements, Second, what is the effective way to source external knowledge among alliance partner firms to create exploratory innovation?; when considering the external knowledge environment to promote exploratory innovation, it is necessary to understand not only the compositions of external knowledge resources but also the structural factors of interfirm networks, which affect accessibility and appropriability for external knowledge resources. From the internal focus, previous research on exploratory innovation has primarily focused on investigating and explaining a firms internal knowledge base as a simple repository of knowledge elements. Concerning the structure of knowledge, only recently has research begun to investigate characteristics of a knowledge base as a network of knowledge elements. In this regard, this dissertation examines the firms internal knowledge network and its effects on the subsequent exploratory innovation. Chapter 3 suggests a theoretical framework to express a firm's knowledge base as a single network composed of knowledge elements (i.e., component knowledge) and their combinations (i.e., architectural knowledge) and investigate the dynamics of such a knowledge network over time. Specifically, Chapter 3 distinguishes accumulated component and architectural knowledge, and investigates their impact on subsequent exploratory innovation, i.e., the creation of new elements and new combinations. The uncovered relationships between the two types of accumulated knowledge and the two types of exploratory innovations, help us comprehend the dynamics of the firms knowledge network. Using patent data of 111 US semiconductor companies from 2000โ€“2010, Chapter 3 empirically verifies an inverted U-shape relationship between the level of accumulated architectural knowledge and subsequent new knowledge combinations. As a firm accumulates experience of combining knowledge resources, new ways of knowledge application occur more frequently. This accumulated architectural knowledge helps organizational learning and broadens knowledge applicability to foster exploratory innovation. However, because of path-dependent attributes, knowledge application becomes rigid inertia that makes it harder to seek new ways. Furthermore, the relationships between accumulated component knowledge and new knowledge combinations, and between accumulated architectural knowledge and new knowledge elements were found to be positive. It shows that the accumulation of component knowledge can be essential for creating new knowledge combinations, and the accumulation of architectural knowledge also helps form new knowledge elements. In other words, learning about elements as a basis for new inventions should precede the creation of new inventions by combining elements. Additionally, accumulating knowledge from the experience of combining various elements is important to extend a firms area of expertise by gaining new knowledge elements. The results highlight the important role of the firms accumulated knowledge resources in creating exploratory innovation and contribute to the research on the antecedents of exploratory innovation. From the external focus, this dissertation investigates how the focal firm is able to effectively discover and secure the necessary knowledge in the alliance portfolio to create exploratory innovation. Previous literature has primarily focused on examining the external knowledge environment for exploratory innovation, focusing on either the compositions of knowledge resources or the structural factors affecting firms' access to them. For a holistic approach, Chapter 4 proposes a new framework of knowledge flow and search flexibility, both are essential for exploratory innovation, to simultaneously examine the effects of a firm's network position and knowledge composition of the alliance portfolio. Using this framework, Chapter 4 empirically confirms that central and brokering positions have an inverted U-shape relationship with the creation of exploratory innovation through panel data of 142 pharmaceutical companies from 1996-2010. Specifically, a central position promotes smooth knowledge flow due to the focal firms high social status, allowing it to access valuable knowledge from its partners. However, exceeding a certain level, the central position decreases search flexibility due to the constraint on decision-making caused by strong relationships. A brokering position fosters search flexibility as it allows the focal firm to control information flows. However, exceeding a certain level, the lack of absorptive capacity negatively influences knowledge flow. Chapter 4 also verifies two combinations of network position and knowledge composition advantageous for increasing exploratory innovation: a central position with partners' wide scope of new knowledge, and a brokering position with partners' wide scope of shared knowledge. These results support the argument that the effects of network position and knowledge composition can complementarily interact with each other, thus potentially compensating the negative effects on either knowledge flow or search flexibility. Specifically, new knowledge breadth can increase the low search flexibility resulting from a central position. The central position allows firms to overcome the information overflow associated with increases in new knowledge breadth. The shared knowledge breadth with partners increases absorptive capacity, which helps firms to understand each other and increases the knowledge flow that is often insufficient for firms at a brokering position. At the same time, the brokering position can prevent firms from becoming too similar to its partners, which would harm the exploration of new ideas. From these results, Chapter 4 contributes to the literature by identifying interaction effects between social network theory and the knowledge-based view and suggests implications for designing a firm's alliance strategy. Overall, this dissertation increases the understanding of the mechanism of exploratory innovation by investigating a firms internal and external factors that influence the creation of exploratory innovation. It provides the following contributions and implications. First, based on the findings of Chapter 3, this dissertation extends the literature on a firms knowledge resources as a source of innovation by revealing the relationship between knowledge elements and combinations. Applying Henderson and Clark(1990)s framework, the firms knowledge network and its subsequent exploratory innovation can be depicted to accumulated component and architectural knowledge and creation of new knowledge elements and combinations. Furthermore, by linking the firms previously formed knowledge network and its subsequent innovation, these relationships allowed us to explore the dynamics of a knowledge network in which existing elements and combinations are influencing each other to form new knowledge elements and combinations over time. Second, based on the findings of Chapter 4, this dissertation extends the literature on alliance portfolios by simultaneously employing social network theory and the knowledge-based view. Most prior studies examined the characteristics of the alliance portfolio either by focusing on structural properties such as actors network position or by focusing on nodal properties such as actors knowledge resources. However, this separation limits the understanding of inter-relational effects between the network position and the knowledge composition in alliance portfolios. This study highlights this inter-relationship and suggests that the potential disadvantageous effects originating from a firms network position can, under specific conditions, be overcome through a suitable knowledge composition. Third, this dissertation contributes to innovation literature by addressing a new approach satisfying two key factors for the creation of exploratory innovation, i.e., knowledge flow and search flexibility. Prior studies state that a knowledge flow corresponds with strong relationships, while search flexibility is associated with weak relationships. As both knowledge flow and search flexibility are required for exploration, prior studies focused on finding the optimum level of organizational integration or the relevant strategic choice. However, this dissertation claims that a particular combination between a firms network position and the knowledge composition of its alliance portfolio can complement both factors shortcomings, ultimately satisfying both key factors simultaneously.ํƒํ—˜์  ์ง€์‹์„ ํ™œ์šฉํ•ด ๊ฐ€์น˜ ์žˆ๋Š” ๊ฒƒ์„ ๋งŒ๋“ค์–ด๋‚ด๋Š” ํƒํ—˜์  ํ˜์‹ ์€ ๊ฒฝ์Ÿ ์šฐ์œ„๋ฅผ ํ™•๋ณดํ•˜๊ณ  ์ง€์† ๊ฐ€๋Šฅํ•œ ์„ฑ์žฅ์„ ์ด๋ฃฐ ์ˆ˜ ์žˆ๋Š” ์ค‘์š”ํ•œ ๋ฐฉ๋ฒ•์œผ๋กœ ์ƒ๋‹นํ•œ ๊ด€์‹ฌ์„ ๋ฐ›์•„์™”๋‹ค. ํƒํ—˜์  ํ˜์‹ ์˜ ์ค‘์š”์„ฑ์ด ๋†’์•„์ง์— ๋”ฐ๋ผ ์ง€์‹ ํƒํ—˜๊ณผ ์žฌ์กฐํ•ฉ ๊ฒ€์ƒ‰ ํ”„๋ ˆ์ž„์›Œํฌ์™€ ๊ฐ™์€ ํ˜์‹ ์˜ ๊ธฐ๋ณธ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ๋†’์•„์ง€๊ณ  ์žˆ์œผ๋ฉฐ ์ตœ๊ทผ์—๋Š” ์ด๋Ÿฌํ•œ ํ˜์‹  ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ๋ฐ”ํƒ•์œผ๋กœ ํƒํ—˜์  ํ˜์‹ ์„ ์ด‰์ง„ํ•˜๋Š”๋ฐ ํ•„์š”ํ•œ ๊ธฐ์—…์˜ ์ง€์‹ ํ™˜๊ฒฝ์— ์ดˆ์ ์„ ๋งž์ถ˜ ์—ฐ๊ตฌ๊ฐ€ ๋“ฑ์žฅํ•˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํƒํ—˜์  ํ˜์‹ ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ์•„์ง ์ดˆ๊ธฐ ๋‹จ๊ณ„์— ์žˆ์œผ๋ฉฐ ๊ธฐ์—…์ด ํƒํ—˜์  ํ˜์‹ ์„ ์ฐฝ์ถœํ•˜๋Š” ์ „์ฒด ๊ณผ์ •์„ ๋ถ„์„ํ•˜๊ธฐ๋ณด๋‹ค๋Š” ๊ฐœ๋ณ„ ์ฃผ์ œ์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฐ ์ ์—์„œ ์ด ๋ถ„์•ผ๋Š” ์ข€ ๋” ๋ฉด๋ฐ€ํ•œ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๊ธฐ์กด ๋ฌธํ—Œ์˜ ๋…ผ์˜๋ฅผ ๋ฐœ์ „์‹œํ‚ฌ ์—ฌ์ง€๊ฐ€ ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ๋‹ค์Œ ๋‘ ๊ฐ€์ง€ ํ•ต์‹ฌ ์งˆ๋ฌธ์„ ์ œ์‹œํ•จ์œผ๋กœ์จ ํƒํ—˜์  ํ˜์‹  ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๋Œ€ํ•œ ํ•™๋ฌธ์  ์ดํ•ด๋ฅผ ๋†’์ด๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค. ์ฒซ์งธ, "๊ธฐ์—…์— ๋‚ด์žฌ๋œ ์ง€์‹ ๊ธฐ๋ฐ˜์˜ ์–ด๋–ค ํŠน์ง•์ด ํƒํ—˜์  ํ˜์‹ ์„ ์ด‰์ง„ํ•˜๋Š”๊ฐ€?"; ๊ธฐ์—…์˜ ์ง€์‹ ๊ธฐ๋ฐ˜์€ ์กฐ์ง, ์‹œ์Šคํ…œ, ์‚ฌ๋žŒ ๋“ฑ์— ๋‚ด์žฌ๋˜์–ด ๋ณต์žกํ•œ ํ˜•ํƒœ๋กœ ์กด์žฌํ•˜๊ณ  ์‹œ๊ฐ„์ด ์ง€๋‚จ์— ๋”ฐ๋ผ ๋ณ€ํ™”ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๋‹จ์ˆœํ•œ ์ง€์‹ ์š”์†Œ์˜ ์ €์žฅ์†Œ๊ฐ€ ์•„๋‹Œ ์ง€์‹ ์š”์†Œ ๋ฐ ์ด๋“ค์˜ ์กฐํ•ฉ์„ ํฌํ•จํ•˜๋Š” ๋™์  ์ง‘ํ•ฉ์ฒด๋ผ๊ณ  ๊ฐ„์ฃผํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋‘˜์งธ, "ํƒํ—˜์  ํ˜์‹ ์„ ์ฐฝ์ถœํ•˜๊ธฐ ์œ„ํ•ด ์ œํœด ํŒŒํŠธ๋„ˆ ๊ธฐ์—…๋“ค ์‚ฌ์ด์—์„œ ๊ทธ๋“ค์ด ๊ฐ€์ง„ ์ง€์‹์„ ์–ป๋Š” ํšจ๊ณผ์ ์ธ ๋ฐฉ๋ฒ•์€ ๋ฌด์—‡์ธ๊ฐ€?"; ํƒํ—˜์  ํ˜์‹ ์„ ์ด‰์ง„ํ•˜๊ธฐ ์œ„ํ•ด ์™ธ๋ถ€ ์ง€์‹ ํ™˜๊ฒฝ์„ ๊ณ ๋ คํ•  ๋•Œ, ์™ธ๋ถ€ ์ง€์‹ ์ž์›์˜ ๊ตฌ์„ฑ๋ฟ ์•„๋‹ˆ๋ผ ์™ธ๋ถ€ ์ง€์‹ ์ž์›์˜ ์ ‘๊ทผ์„ฑ๊ณผ ์ „์œ ์„ฑ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ธฐ์—… ๊ฐ„ ๋„คํŠธ์›Œํฌ์˜ ๊ตฌ์กฐ์  ์š”์ธ๋„ ์ดํ•ดํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋‚ด๋ถ€์  ๊ด€์ ์—์„œ, ํƒํ—˜์  ํ˜์‹ ์— ๋Œ€ํ•œ ๊ธฐ์กด ์—ฐ๊ตฌ๋Š” ๊ธฐ์—…์˜ ๋‚ด๋ถ€ ์ง€์‹ ๊ธฐ๋ฐ˜์„ ์ฃผ๋กœ ๋‹จ์ˆœํ•œ ์ง€์‹ ์š”์†Œ์˜ ์ €์žฅ์†Œ๋กœ ์กฐ์‚ฌํ•˜๊ณ  ์„ค๋ช…ํ•˜๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถ”์—ˆ์œผ๋ฉฐ ์ตœ๊ทผ์—์„œ์•ผ ์ง€์‹ ์š”์†Œ์˜ ๊ตฌ์กฐ์  ํŠน์„ฑ์„ ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์‹œ์ž‘๋˜์—ˆ๋‹ค. ์ด์™€ ๊ด€๋ จํ•˜์—ฌ ๋ณธ ๋…ผ๋ฌธ์€ ๊ธฐ์—…์˜ ๋‚ด๋ถ€ ์ง€์‹ ๋„คํŠธ์›Œํฌ๊ฐ€ ํƒํ—˜์  ํ˜์‹ ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์‚ดํŽด๋ณธ๋‹ค. ์ œ3์žฅ์€ ๊ธฐ์—…์˜ ์ง€์‹ ๊ธฐ๋ฐ˜์„ ์š”์†Œ ์ง€์‹(=component knowledge)๊ณผ ์ด๋“ค์˜ ์กฐํ•ฉ(๊ตฌ์กฐ ์ง€์‹=architectural knowledge)์œผ๋กœ ๊ตฌ์„ฑ๋œ ๋„คํŠธ์›Œํฌ๋กœ ํ‘œํ˜„ํ•˜๊ณ  ์ด๋Ÿฌํ•œ ์ง€์‹ ๋„คํŠธ์›Œํฌ๊ฐ€ ์‹œ๊ฐ„์— ๋”ฐ๋ผ ์–ด๋–ป๊ฒŒ ๋ณ€ํ™”ํ•ด ๊ฐ€๋Š”์ง€ ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•œ ์ด๋ก ์  ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ, ์ œ3์žฅ์—์„œ๋Š” ์ถ•์ ๋œ ์š”์†Œ ์ง€์‹ ๋ฐ ๊ตฌ์กฐ ์ง€์‹์„ ๊ตฌ๋ณ„ํ•˜๊ณ , ์ด๋กœ ์ธํ•ด ๋ฐœ์ƒํ•˜๋Š” ํƒํ—˜์  ํ˜์‹ , ์ฆ‰ ์ƒˆ๋กœ์šด ์š”์†Œ ์ง€์‹ ๋ฐ ์ƒˆ๋กœ์šด ๊ตฌ์กฐ ์ง€์‹(์š”์†Œ ์ง€์‹๊ฐ„ ์ƒˆ๋กœ์šด ์กฐํ•ฉ)์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์กฐ์‚ฌํ•œ๋‹ค. ๋‘ ๊ฐ€์ง€ ์œ ํ˜•์˜ ์ถ•์ ๋œ ์ง€์‹๊ณผ ๋‘ ๊ฐ€์ง€ ์œ ํ˜•์˜ ํƒํ—˜์  ํ˜์‹  ์‚ฌ์ด์˜ ๋“œ๋Ÿฌ๋‚˜์ง€ ์•Š์€ ๊ด€๊ณ„๋Š” ํšŒ์‚ฌ์˜ ์ง€์‹ ๋„คํŠธ์›Œํฌ์˜ ๋™์  ํŠน์„ฑ์„ ์ดํ•ดํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋œ๋‹ค. ์ œ3์žฅ์—์„œ๋Š” 2000~2010๋…„ ๋ฏธ๊ตญ 111๊ฐœ ๋ฐ˜๋„์ฒด ๊ธฐ์—…์˜ ํŠนํ—ˆ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ถ•์ ๋œ ๊ตฌ์กฐ ์ง€์‹์˜ ์ˆ˜์ค€๊ณผ ๊ทธ์— ๋”ฐ๋ฅธ ์ƒˆ๋กœ์šด ๊ตฌ์กฐ ์ง€์‹ ๊ฐ„์˜ ์—ญ U์žํ˜• ๊ด€๊ณ„๋ฅผ ์‹ค์ฆ์ ์œผ๋กœ ๊ฒ€์ฆํ•œ๋‹ค. ๊ธฐ์—…์ด ์ง€์‹ ๊ฒฐํ•ฉ ๊ฒฝํ—˜์„ ์ถ•์ ํ•จ์— ๋”ฐ๋ผ ์ƒˆ๋กœ์šด ์ง€์‹ ์ ์šฉ ๋ฐฉ๋ฒ•์„ ๋ฐœ๊ฒฌํ•˜๋ฉฐ, ์ด๋ ‡๊ฒŒ ์ถ•์ ๋œ ๊ตฌ์กฐ ์ง€์‹์€ ์กฐ์ง ํ•™์Šต ๋ฐ ์ง€์‹ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ํ™•์žฅํ•˜์—ฌ ํƒํ—˜์  ํ˜์‹ (๊ตฌ์กฐ ์ง€์‹์˜ ๋ฐœ์ƒ)์„ ์ด‰์ง„ํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ตฌ์กฐ ์ง€์‹์ด ์ถ•์ ๋ ์ˆ˜๋ก ์กฐ์ง ํ•™์Šต์˜ ๊ฒฝ๋กœ ์˜์กด์  ์†์„ฑ์— ๋”ฐ๋ฅธ ๊ฒฝ์ง๋œ ๊ด€์„ฑ์ด ์ƒ๊ธฐ๊ฒŒ ๋˜๊ณ  ์ƒˆ๋กœ์šด ์ง€์‹ ์‘์šฉ ๋ฐฉ๋ฒ•์„ ๋ชจ์ƒ‰ํ•˜๋Š” ๊ฒƒ์ด ์–ด๋ ต๊ฒŒ ๋œ๋‹ค. ํ•œํŽธ์œผ๋กœ, ์ถ•์ ๋œ ์š”์†Œ ์ง€์‹๊ณผ ์ƒˆ๋กœ์šด ๊ตฌ์กฐ ์ง€์‹, ๊ทธ๋ฆฌ๊ณ  ์ถ•์ ๋œ ๊ตฌ์กฐ ์ง€์‹๊ณผ ์ƒˆ๋กœ์šด ์š”์†Œ ์ง€์‹ ๊ฐ„์˜ ๊ด€๊ณ„๋Š” ์–‘(+)์˜ ๋ฐฉํ–ฅ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Š” ์š”์†Œ ์ง€์‹ ์ถ•์ ์ด ์ƒˆ๋กœ์šด ์ง€์‹ ์กฐํ•ฉ(๊ตฌ์กฐ ์ง€์‹)์„ ๋งŒ๋“œ๋Š” ๋ฐ ํ•„์ˆ˜์ ์ผ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๊ตฌ์กฐ ์ง€์‹ ์ถ•์ ์ด ์ƒˆ๋กœ์šด ์š”์†Œ ์ง€์‹์„ ํ˜•์„ฑํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋œ๋‹ค๋Š” ๊ฒƒ์„ ๋งํ•ด์ค€๋‹ค. ์ฆ‰, ์ƒˆ๋กœ์šด ๋ฐœ๋ช…(์ง€์‹ ์š”์†Œ์˜ ๊ฒฐํ•ฉ)์„ ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ฐœ๋ณ„ ์ง€์‹ ์š”์†Œ์— ๋Œ€ํ•œ ํ•™์Šต์ด ์„ ํ–‰๋˜์–ด์•ผ ํ•˜๋ฉฐ, ๋ฐ˜๋Œ€๋กœ ์ƒˆ๋กœ์šด ์š”์†Œ ์ง€์‹์„ ํš๋“ํ•จ์œผ๋กœ์จ ๊ธฐ์—…์˜ ์ „๋ฌธ ์˜์—ญ์„ ํ™•์žฅํ•˜๋ ค๋ฉด ๋‹ค์–‘ํ•œ ์š”์†Œ ์ง€์‹ ๊ฒฐํ•ฉ ๊ฒฝํ—˜์ด ์ค‘์š”ํ•˜๋‹ค๋Š” ๊ฒฐ๊ณผ๋ฅผ ๋„์ถœํ•˜์˜€๋‹ค. ์ด ๊ฒฐ๊ณผ๋Š” ๊ธฐ์—…์ด ์ถ•์ ํ•œ ์ง€์‹ ์ž์›์ด ํƒํ—˜์  ํ˜์‹  ์ฐฝ์ถœ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๊ฐ•์กฐํ•˜๊ณ  ๊ธฐ์กด ํƒํ—˜์  ํ˜์‹ ์— ๋Œ€ํ•œ ๋ฌธํ—Œ ์—ฐ๊ตฌ์— ๊ธฐ์—ฌํ•œ๋‹ค. ์™ธ๋ถ€์  ๊ด€์ ์—์„œ๋Š”, ์–ด๋–ป๊ฒŒ ํฌ์ปฌ ๊ธฐ์—…์ด ํƒํ—˜์  ํ˜์‹ ์„ ์ฐฝ์ถœํ•˜๊ธฐ ์œ„ํ•ด ์ œํœด ํฌํŠธํด๋ฆฌ์˜ค์—์„œ ํ•„์š”ํ•œ ์ง€์‹์„ ํšจ๊ณผ์ ์œผ๋กœ ๋ฐœ๊ตดํ•˜๊ณ  ํ™•๋ณดํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ์กฐ์‚ฌํ•œ๋‹ค. ๊ธฐ์กด ๋ฌธํ—Œ์€ ํƒํ—˜์  ํ˜์‹ ์„ ์œ„ํ•œ ์™ธ๋ถ€ ์ง€์‹ ํ™˜๊ฒฝ์„ ์„ค๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ์ฃผ๋กœ ์ง€์‹ ์ž์›์˜ ๊ตฌ์„ฑ ๋˜๋Š” ์ง€์‹ ์ž์› ์ ‘๊ทผ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ตฌ์กฐ์  ์š”์ธ์— ์ดˆ์ ์„ ๋งž์ถ”์–ด ์กฐ์‚ฌํ•˜์˜€๋‹ค. ํ†ตํ•ฉ์  ์ ‘๊ทผ๋ฐฉ์‹์„ ์œ„ํ•ด, ์ œ4์žฅ์€ ๊ธฐ์—…์˜ ๋„คํŠธ์›Œํฌ ์œ„์น˜์™€ ์ œํœด ํฌํŠธํด๋ฆฌ์˜ค์˜ ์ง€์‹ ๊ตฌ์„ฑ ์˜ํ–ฅ์„ ๋™์‹œ์— ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•ด ํƒํ—˜์  ํ˜์‹ ์— ํ•„์ˆ˜์ ์ธ ๋‘ ๊ฐ€์ง€ ์š”์†Œ, ์ฆ‰, ์ง€์‹ ํ๋ฆ„(knowledge flow)๊ณผ ๊ฒ€์ƒ‰ ์œ ์—ฐ์„ฑ(search flexibility) ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ์ œ4์žฅ์€ ์ด๋Ÿฌํ•œ ํ‹€์„ ์ด์šฉํ•˜์—ฌ 1996~2010๋…„ 142๊ฐœ ์ œ์•ฝํšŒ์‚ฌ์˜ ํŒจ๋„ ์ž๋ฃŒ๋ฅผ ํ†ตํ•ด ์ค‘์‹ฌ ์œ„์น˜ ๋ฐ ์ค‘๊ฐœ ์œ„์น˜๊ฐ€ ํƒํ—˜์  ํ˜์‹ ์˜ ์ฐฝ์ถœ๊ณผ ์—ญ U์žํ˜• ๊ด€๊ณ„๋ฅผ ๋งบ๊ณ  ์žˆ์Œ์„ ์‹ค์ฆ์ ์œผ๋กœ ํ™•์ธํ•œ๋‹ค. ์ค‘์‹ฌ ์œ„์น˜๋Š” ๋†’์€ ์‚ฌํšŒ์  ์ง€์œ„๋กœ ์ธํ•ด ์›ํ™œํ•œ ์ง€์‹ ํ๋ฆ„์„ ์ด‰์ง„ํ•˜์—ฌ ํŒŒํŠธ๋„ˆ๋กœ๋ถ€ํ„ฐ ๊ท€์ค‘ํ•œ ์ง€์‹์„ ์ ‘ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋•๋Š”๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ผ์ •ํ•œ ์ˆ˜์ค€์„ ๋„˜์–ด์„œ๋ฉด ์ค‘์‹ฌ ์œ„์น˜๋Š” ๊ฐ•ํ•œ ๊ด€๊ณ„์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์˜์‚ฌ ๊ฒฐ์ • ์ œ์•ฝ์œผ๋กœ ์ธํ•ด ๊ฒ€์ƒ‰ ์œ ์—ฐ์„ฑ์„ ๋–จ์–ด๋œจ๋ฆฐ๋‹ค. ์ค‘๊ฐœ ์œ„์น˜๋Š” ํฌ์ปฌ ๊ธฐ์—…์ด ์ •๋ณด ํ๋ฆ„์„ ์ œ์–ดํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๊ฒ€์ƒ‰ ์œ ์—ฐ์„ฑ์„ ๋†’์ธ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ผ์ • ์ˆ˜์ค€์„ ๋„˜์–ด์„œ๋Š” ๊ฒฝ์šฐ ํก์ˆ˜๋Šฅ๋ ฅ ๋ถ€์กฑ์œผ๋กœ ์ง€์‹ ํ๋ฆ„์— ๋ถ€์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ฒŒ ๋œ๋‹ค. ์ œ4์žฅ์—์„œ๋Š” ๋˜ํ•œ ํƒํ—˜์  ํ˜์‹ ์„ ์ฆ๊ฐ€์‹œํ‚ค๋Š”๋ฐ ์œ ๋ฆฌํ•œ ๋„คํŠธ์›Œํฌ ์œ„์น˜์™€ ์ง€์‹ ๊ตฌ์„ฑ์˜ ๋‘ ๊ฐ€์ง€ ์กฐํ•ฉ, ์ฆ‰ ์ค‘์‹ฌ ์œ„์น˜์™€ ๋„“์€ ๋ฒ”์œ„์˜ ์ƒˆ๋กœ์šด ์ง€์‹์„ ๋ณด์œ ํ•œ ํŒŒํŠธ๋„ˆ, ์ค‘๊ฐœ ์œ„์น˜์™€ ๋„“์€ ๋ฒ”์œ„์˜ ๊ณต์œ  ์ง€์‹์„ ๋ณด์œ ํ•œ ํŒŒํŠธ๋„ˆ ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ๊ฒ€์ฆํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ๋„คํŠธ์›Œํฌ ์œ„์น˜์™€ ์ง€์‹ ๊ตฌ์„ฑ์˜ ์˜ํ–ฅ์ด ์ƒํ˜ธ ๋ณด์™„์ ์œผ๋กœ ์ƒํ˜ธ ์ž‘์šฉํ•˜์—ฌ ์ง€์‹ ํ๋ฆ„ ๋˜๋Š” ๊ฒ€์ƒ‰ ์œ ์—ฐ์„ฑ์— ๋Œ€ํ•œ ๋ถ€์ •์ ์ธ ์˜ํ–ฅ์„ ์ž ์žฌ์ ์œผ๋กœ ๋ณด์ƒํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ฃผ์žฅ์„ ๋’ท๋ฐ›์นจํ•œ๋‹ค. ๋„“์€ ๋ฒ”์œ„์˜ ์ƒˆ๋กœ์šด ์ง€์‹์€ ์ค‘์‹ฌ ์œ„์น˜์—์„œ ๊ธฐ์ธํ•˜๋Š” ๋‚ฎ์€ ๊ฒ€์ƒ‰ ์œ ์—ฐ์„ฑ์„ ์ฆ๊ฐ€์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. ์ค‘์‹ฌ ์œ„์น˜์˜ ๊ตฌ์กฐ์  ์žฅ์ ์„ ์ด์šฉํ•ด ํฌ์ปฌ ๊ธฐ์—…์€ ์ƒˆ๋กœ์šด ์ง€์‹์˜ ๋ฒ”์œ„๊ฐ€ ์ฆ๊ฐ€ํ•  ๋•Œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ์ •๋ณด์˜ ๋ฒ”๋žŒ์„ ๊ทน๋ณตํ•  ์ˆ˜ ์žˆ๋‹ค. ํŒŒํŠธ๋„ˆ์™€ ๋„“์€ ๋ฒ”์œ„์˜ ์ง€์‹์„ ๊ณต์œ ํ•  ๊ฒฝ์šฐ ์ƒ๋Œ€์ ์ธ ํก์ˆ˜ ๋Šฅ๋ ฅ์„ ์ฆ๊ฐ€์‹œ์ผœ ๊ธฐ์—…์ด ์„œ๋กœ๋ฅผ ์ดํ•ดํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋˜๊ณ  ์ค‘๊ฐœ ์œ„์น˜์— ์žˆ๋Š” ๊ธฐ์—…์—๊ฒŒ ์ข…์ข… ๋ถ€์กฑํ•œ ์ง€์‹ ํ๋ฆ„์„ ์ฆ๊ฐ€์‹œํ‚จ๋‹ค. ๋™์‹œ์—, ์ค‘๊ฐœ ์œ„์น˜๋Š” ํฌ์ปฌ ๊ธฐ์—…์ด ํŒŒํŠธ๋„ˆ๋“ค๊ณผ ๋„ˆ๋ฌด ๋น„์Šทํ•ด์ง€๋Š” ๊ฒƒ์„ ๋ง‰์•„์คŒ์œผ๋กœ์จ ์ƒˆ๋กœ์šด ์•„์ด๋””์–ด ํƒ๊ตฌ์— ๋ฏธ์น  ์ˆ˜ ์žˆ๋Š” ๋ถ€์ •์  ์˜ํ–ฅ์„ ์ค„์ธ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋กœ๋ถ€ํ„ฐ, ์ œ4์žฅ์€ ์†Œ์…œ ๋„คํŠธ์›Œํฌ ์ด๋ก ๊ณผ ์ง€์‹ ๊ธฐ๋ฐ˜ ๊ด€์ ์˜ ์ƒํ˜ธ์ž‘์šฉ ํšจ๊ณผ๋ฅผ ํ™•์ธํ•จ์œผ๋กœ์จ ๊ธฐ์กด ๋ฌธํ—Œ ์—ฐ๊ตฌ์— ๊ธฐ์—ฌํ•˜๊ณ  ๊ธฐ์—…์˜ ์ œํœด ์ „๋žต ์„ค๊ณ„์— ๋Œ€ํ•œ ์‹œ์‚ฌ์ ์„ ์ œ์‹œํ•œ๋‹ค. ์ข…ํ•ฉํ•˜๋ฉด, ๋ณธ ๋…ผ๋ฌธ์€ ํƒํ—˜์  ํ˜์‹  ์ฐฝ์ถœ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ธฐ์—…์˜ ๋Œ€๋‚ด์™ธ์  ์ง€์‹ ์š”์ธ์„ ์กฐ์‚ฌํ•จ์œผ๋กœ์จ ํƒํ—˜์  ํ˜์‹  ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ๋†’์ด๊ณ  ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์‹œ์‚ฌ์ ์„ ๋„์ถœํ•œ๋‹ค. ์ฒซ์งธ, ๋ณธ ๋…ผ๋ฌธ์€ ์ œ3์žฅ์˜ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ง€์‹ ์š”์†Œ์™€ ์ง€์‹ ๊ฒฐํ•ฉ์˜ ๊ด€๊ณ„๋ฅผ ๋ฐํžˆ๊ณ  ํ˜์‹ ์˜ ์›์ฒœ์œผ๋กœ์„œ์˜ ์ง€์‹ ์ž์›์— ๋Œ€ํ•œ ๊ธฐ์กด ๋ฌธํ—Œ์„ ํ™•์žฅํ•œ๋‹ค. ํ—จ๋”์Šจ๊ณผ ํด๋ผํฌ(1990)์˜ ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์ ์šฉํ•˜๋ฉด, ํšŒ์‚ฌ์˜ ์ง€์‹ ๋„คํŠธ์›Œํฌ์™€ ํƒํ—˜์  ํ˜์‹ ์€ ์ถ•์ ๋œ ์š”์†Œ ์ง€์‹ ๋ฐ ๊ตฌ์กฐ ์ง€์‹๊ณผ ์ƒˆ๋กœ ๋ฐœ์ƒํ•˜๋Š” ์š”์†Œ ์ง€์‹ ๋ฐ ๊ตฌ์กฐ ์ง€์‹์œผ๋กœ ๋ฌ˜์‚ฌ๋  ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ด€๊ณ„๋ฅผ ํ†ตํ•ด ํ˜•์„ฑ๋œ ๊ธฐ์—…์˜ ์ง€์‹ ๋„คํŠธ์›Œํฌ์™€ ํ˜์‹  ์ฐฝ์ถœ์„ ์—ฐ๊ณ„ํ•จ์œผ๋กœ์จ ์‹œ๊ฐ„์ด ์ง€๋‚จ์— ๋”ฐ๋ผ ๊ธฐ์กด ์š”์†Œ ์ง€์‹๊ณผ ๊ตฌ์กฐ ์ง€์‹์ด ์„œ๋กœ ์˜ํ–ฅ์„ ๋ฏธ์ณ ์ƒˆ๋กœ์šด ์š”์†Œ ์ง€์‹ ๋ฐ ๊ตฌ์กฐ ์ง€์‹์„ ํ˜•์„ฑํ•˜๋Š” ์ง€์‹ ๋„คํŠธ์›Œํฌ์˜ ๋™์  ํŠน์„ฑ์„ ํƒ์ƒ‰ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋‘˜์งธ, ๋ณธ ๋…ผ๋ฌธ์€ ์ œ4์žฅ์˜ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์†Œ์…œ ๋„คํŠธ์›Œํฌ ์ด๋ก ๊ณผ ์ง€์‹๊ธฐ๋ฐ˜ ๊ด€์ ์„ ๋™์‹œ์— ์ ์šฉํ•˜์—ฌ ์ œํœด ํฌํŠธํด๋ฆฌ์˜ค์— ๋Œ€ํ•œ ๊ธฐ์กด ๋ฌธํ—Œ์„ ํ™•์žฅํ•œ๋‹ค. ๋งŽ์€ ์„ ํ–‰ ์—ฐ๊ตฌ๋Š” ํ–‰์œ„์ž์˜ ๋„คํŠธ์›Œํฌ ์œ„์น˜์™€ ๊ฐ™์€ ๊ตฌ์กฐ์  ํŠน์„ฑ์— ์ดˆ์ ์„ ๋งž์ถ”๊ฑฐ๋‚˜ ํ–‰์œ„์ž์˜ ์ง€์‹ ์ž์›๊ณผ ๊ฐ™์€ ๋…ธ๋“œ์  ํŠน์„ฑ์— ์ดˆ์ ์„ ๋งž์ถ”์–ด ์ œํœด ํฌํŠธํด๋ฆฌ์˜ค ํŠน์„ฑ์„ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ œํœด ํฌํŠธํด๋ฆฌ์˜ค์—์„œ ๋„คํŠธ์›Œํฌ ์œ„์น˜์™€ ์ง€์‹ ๊ตฌ์„ฑ ๊ฐ„ ์ƒํ˜ธ ๊ด€๊ณ„์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ์ œํ•œ์ ์ด์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด๋Ÿฌํ•œ ์ƒํ˜ธ ๊ด€๊ณ„๋ฅผ ์ดˆ์ ์„ ๋งž์ถ”๊ณ , ํŠน์ • ์กฐ๊ฑด ํ•˜์—์„œ๋Š” ๊ธฐ์—…์˜ ๋„คํŠธ์›Œํฌ ์œ„์น˜์—์„œ ๋น„๋กฏ๋˜๋Š” ๋ถ€์ •์  ์˜ํ–ฅ์„ ์ ์ ˆํ•œ ํŒŒํŠธ๋„ˆ์˜ ์ง€์‹ ๊ตฌ์„ฑ์„ ํ†ตํ•ด ๊ทน๋ณตํ•  ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค. ์…‹์งธ, ๋ณธ ๋…ผ๋ฌธ์€ ํƒํ—˜์  ํ˜์‹  ์ฐฝ์ถœ์„ ์œ„ํ•œ ๋‘ ๊ฐ€์ง€ ํ•ต์‹ฌ ์š”์†Œ, ์ง€์‹ ํ๋ฆ„๊ณผ ๊ฒ€์ƒ‰ ์œ ์—ฐ์„ฑ์„ ๋งŒ์กฑ์‹œ์ผœ์•ผ ํ•œ๋‹ค๋Š” ์ƒˆ๋กœ์šด ๋…ผ์˜๋ฅผ ์ œ์•ˆํ•จ์œผ๋กœ์จ ๊ธฐ์กด ํ˜์‹  ๋ฌธํ—Œ์—ฐ๊ตฌ์— ๊ธฐ์—ฌํ•œ๋‹ค. ์ด์ „ ์—ฐ๊ตฌ์—์„œ ์ง€์‹ ํ๋ฆ„์€ ๊ฐ•ํ•œ ๊ด€๊ณ„์—์„œ ๋ฐœํ˜„ํ•˜๊ธฐ ์‰ฝ๊ณ  ๊ฒ€์ƒ‰ ์œ ์—ฐ์„ฑ์€ ์•ฝํ•œ ๊ด€๊ณ„์— ๋น„๋กฏ๋œ๋‹ค๊ณ  ๋งํ•œ๋‹ค. ํƒํ—˜์  ํ˜์‹ ์„ ์œ„ํ•ด์„œ๋Š” ์ง€์‹ ํ๋ฆ„๊ณผ ๊ฒ€์ƒ‰ ์œ ์—ฐ์„ฑ์ด ๋ชจ๋‘ ์š”๊ตฌ๋˜๊ธฐ ๋•Œ๋ฌธ์— ์„ ํ–‰์—ฐ๊ตฌ๋Š” ์ตœ์ ์˜ ์กฐ์งํ†ตํ•ฉ ์ˆ˜์ค€์ด๋‚˜ ์ ์ ˆํ•œ ์ „๋žต์  ์„ ํƒ์„ ์ฐพ๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ท„๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋ณธ ๋…ผ๋ฌธ์€ ์ œํœด ํฌํŠธํด๋ฆฌ์˜ค์—์„œ ํฌ์ปฌ ๊ธฐ์—…์˜ ๋„คํŠธ์›Œํฌ ์œ„์น˜์™€ ํŒŒํŠธ๋„ˆ ์ง€์‹ ๊ตฌ์„ฑ ๊ฐ„ ํŠน์ • ์กฐํ•ฉ์ด ๋‘ ์š”์†Œ์˜ ๋‹จ์ ์„ ๋ณด์™„ํ•˜์—ฌ ๊ถ๊ทน์ ์œผ๋กœ ๋‘ ๊ฐ€์ง€ ํ•ต์‹ฌ ์š”์†Œ๋ฅผ ๋™์‹œ์— ๋งŒ์กฑ์‹œํ‚ฌ ์ˆ˜ ์žˆ์Œ์„ ๋ฐํžŒ๋‹ค.Chapter 1. Introduction 1 1.1 Background 1 1.2 Research objectives 8 1.3 Research outline 11 Chapter 2. Literature review 15 2.1 Review on the literature on exploratory innovation 15 2.2 Exploratory innovation created from a firm's internal knowledge base 23 2.2.1 The concept of knowledge network 23 2.2.2 Firm's innovation based on its knowledge network 28 2.3 Exploratory innovation through external knowledge sourcing in alliance portfolio 35 2.3.1 Two theoretical lenses to examine the effects of a firm's alliance portfolio on its exploratory innovation 35 2.3.2 Two preconditions to absorb and create new knowledge for exploratory innovation 37 Chapter 3. Exploratory innovation through managing firm's internal knowledge network 40 3.1 Introduction 40 3.2 Research Hypotheses 45 3.2.1 Degree of accumulation in architectural knowledge and newly explored component knowledge 45 3.2.2 Accumulated architectural knowledge and new knowledge elements 47 3.2.3 Accumulated component knowledge and new knowledge combinations 49 3.2.4 Accumulated component knowledge and new knowledge elements 52 3.3 Methods 56 3.3.1 Data and sample 56 3.3.2 Dependent variable 59 3.3.3 Independent Variables 60 3.3.4 Control Variables 61 3.3.5 Empirical model specification 62 3.4 Results 68 3.5 Discussion 72 Chapter 4. Exploratory innovation through gaining knowledge from alliance portfolio 75 4.1 Introduction 75 4.2 Research Hypothesis 81 4.2.1 Central position and exploratory innovation 81 4.2.2 Brokering position and exploratory innovation 84 4.2.3 Central position with partners' wide scope of new knowledge and exploratory innovation 86 4.2.4 Brokering position with partners' wide scope of shared knowledge and exploratory innovation 89 4.3 Methods 94 4.3.1 Data and sample 94 4.3.2 Dependent variable 96 4.3.3 Independent variables 98 4.3.4 Control variables 100 4.3.5 Empirical model specification 102 4.4 Results 107 4.5 Discussion 114 Chapter 5. Conclusive remarks 117 5.1 Contributions and implications 117 5.2 Limitations and future research 123 Bibliography 129 Abstract (Korean) 156๋ฐ•

    How customers react to service unfairness? Moderating roles of interpersonal similarities on experience of envy and benign envy

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    Session: 04-206The โ€œCustomer Pyramidโ€ and other similar customer management concepts advise firms to prioritize customers and treat them differently. Yet, offering preferential treatment to selected customers is potentially controversial. It implies a relatively inferior treatment to other customers and elicits the perception of service unfairness. In this study, we employ the social comparison theory to explicate the underlying process of how service unfairness impacts non-recipientsโ€™ behaviors. Specifically, we examine (1) impacts of service unfairness on the customersโ€™ emotional experiences of envy and benign envy, (2) the differential effects of envy and benign envy on the non-recipientsโ€™ behaviors toward the preferentially treated customers (spreading negative word of mouth) and the sources of unfairness (cooperation with the salesperson and repurchase intention toward the store), and (3) the boundary conditions of the non-recipientsโ€™ similarities with those preferentially treated customers and the salesperson on the impacts of service unfairness. We tested our framework with laboratory experiments and a survey study in the context of clothing retail stores of 331 customers. Results support the roles of envy and benign envy in mediating the impact of service unfairness on those non-recipientsโ€™ behavioural outcomes. Specifically, if service unfairness elicits envy, it will increase the non-recipientsโ€™ negative WOM mouth toward those preferentially treated customers, reduces their repurchase intention, and lessens their cooperation with the salesperson. However, witnessing a preferential treatment received by others could be motivating for the non-recipients because they would also have the chance to enjoy such preferential treatment in the future (i.e., experience of benign envy). Our findings show that if service unfairness increases non-recipientsโ€™ experience of benign envy, it will motivates them to repurchase more, be more cooperative with the salesperson, but with no impact on the act of spreading negative WOM. Moreover, findings on the moderation influence of customersโ€™ similarity with other customers and the salesperson further shed insights about the conditions for the differential impacts of service unfairness on onesโ€™ experiences of envy and benign envy. Our study offers important implications on how firms can benefit from implementing customer management strategies involving differential treatments while minimizing their drawbacks.postprin

    Determinants of the Acquisition of Smaller Firms by Larger Incumbents in High-Tech Industries: Are they related to Innovation and Technology Sourcing?

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    Innovation activities in high tech industries provide considerable challenges for technology and innovation management. In particular, firms frequently face significant technological challenges since these industries has a long history of radical innovations which are taking place through distinct industry cycles of higher and lower demand. The paper investigates these issues for three high-tech industries, namely semiconductor manufacturing, biotechnology and electronic design automation which is a specific sub-segment of the semiconductor industry. It analyses the association of firm characteristics with different aspects of acquisition behaviour. Particular focus is put on innovation-related firm characteristics. The paper finds that the determinants for acquisitions are mostly related to firm size, financial conditions and geographical origin of the firm. Only for biotechnology, a substitutive relationship is identified between acquisitions and own research activities.acquisition, innovation, semiconductor, design, automation, biotechnology

    The choice of technological innovation modes: a multiple case study in the green lighting industry in China

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    JEL: M1๏ผŒO3Since the beginning of the 21st century, the human living environment has been increasingly facing serious challenges. Energy-saving and environmental protection has become the theme of the era. Worldwide governments and enterprises work on the effective policies and measures that are jointly committed to the use and development of clean energy. In the 12th โ€œFive-Year Planโ€ (i.e. The National Economic and Social Development Plan between 2011 and 2015) the Chinese government makes it clear that the energy saving and environmental protection industries will be the priority for its development. The green lighting industry is the new wave of energy saving and environmental protection industry. Due to its long industrial chain and comparatively less capital investment, the industry has attracted a large number of start-ups. According to statistics, the majority of enterprises in the industry were established less than ten years. The emerging entrepreneurial enterprises play an important role in the green lighting industry. However, the technology of green lighting is not mature yet. The competition of the industry is highly strong due to the fast changing market and demanding performance of the products. Against this backdrop, it is an inevitable requirement to strengthen and emphasize technological innovation. Based on the reality of green lighting industry, this thesis aims to develop models of technological innovation for entrepreneurial enterprises facing resource and capability constraints. Taking Grand Technology Co. Ltd, Kingsun Optoelectronic Co. Ltd and Sanan Photoelectrical Co. Ltd as the cases for the study, we focus our research on the competition environment of green lighting industry and identify the characteristics of entrepreneurial enterprises and technological innovation models. We then construct a theoretical framework for the selection of technological innovation of entrepreneurial enterprises with resource and capability constraints. The research adopts a multiple case study method to study representative companies of green lighting industry and finds the differences in the innovative selection under different resource and capability constraints.Desde o inรญcio do sรฉculo XXI que o meio ambiente tem vindo a enfrentar desafios cada vez mais difรญceis e que a necessidade de proteรงรฃo ambiental se tornou no tema da รฉpoca designadamente atravรฉs da poupanรงa de energia. Os governos e as empresas de todo o mundo trabalham no sentido da promoรงรฃo de polรญticas e medidas destinadas ร  utilizaรงรฃo e desenvolvimento de energias limpas e, no seu 12ยบ Plano Quinquenal (i.e. o Plano Nacional de Desenvolvimento Econรณmico e Social para o quinquรฉnio 2011 - 2015), o governo chinรชs torna bem claro que serรก dada prioridade ao desenvolvimento de indรบstrias no ramo da poupanรงa de energia e proteรงรฃo ambiental. Neste รขmbito insere-se a indรบstria da iluminaรงรฃo verde pelo seu impacto na poupanรงa de energia. Nos รบltimos dez anos esta indรบstria tem atraรญdo um nรบmero elevado de empresas nascentes devido ร  extensรฃo da sua cadeia industrial e ร s necessidades de investimento relativamente reduzidas pelo que sรฃo empresas no seu estรกdio empreendedor que desempenham um papel importante na indรบstria da iluminaรงรฃo verde. Contudo, a tecnologia nรฃo estรก ainda suficientemente madura e a concorrรชncia รฉ muito intensa devido ร  elevada dinรขmica do mercado e ร s crescentes exigรชncias quanto ao desempenho dos produtos sendo inevitรกvel reforรงar e enfatizar a necessidade de inovaรงรฃo tecnolรณgica. Baseando-se na realidade que a indรบstria da iluminaรงรฃo verde apresenta, esta tese pretende analisar e propor modelos de inovaรงรฃo tecnolรณgica para empresas empreendedoras que se confrontam com escassez de recursos e de competรชncias. Para tal foram estudados os casos das empresas Grand Technology Co. Ltd, Kingsun Optoelectronic Co. Ltd e Sanan Photoelectrical Co. Ltd procurando-se identificar e analisar as caracterรญsticas destas empresas e os seus modelos de inovaรงรฃo. Atravรฉs desse estudo procurou-se depois apresentar um modelo teรณrico para a seleรงรฃo de inovaรงรฃo tecnolรณgica por parte de empresas que se debatem com restriรงรตes de recursos e competรชncias. Esta tese adopta o mรฉtodo do estudo de caso mรบltiplo e, focalizando-se em empresas representativas do fenรณmeno a analisar, foi possรญvel encontrar diferenรงas no modo de seleรงรฃo da inovaรงรฃo tecnolรณgica em funรงรฃo das restriรงรตes de recursos e competรชncias de cada empresa

    Partner Selection Criteria in Strategic Alliances When to Ally with Weak Partners

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    In many emergent markets, cross-industry alliances are necessary to develop and market new products and services. The resource-based view suggests that firms form alliances to access or acquire valuable, rare, non-imitable and non-substitutable resources, and that such access determines the level of profits. Hence, firms confronted with the choice between partners with strong versus partners with weak resource endowments should choose the former. We contest this view and argue that firms benefit from allying with weak partners at certain times. In essence, we suggest that partner selection involves assessing the relative importance of strong resource endowments and aligned strategic aspirations over time. By adopting an evolutionary approach, we show that appropriate partner selection criteria are dynamic and may involve allying with weak partners in the initial exploratory stage, with weak and/or strong partners in the development stage and with strong partners in the maturity stage. Our findings suggest that the resource-based understanding of strategic alliances should be extended to include a more profound role for a partner firmโ€™s strategic aspiration.Strategic alliances, partner selection, resources, aspirations

    Competing in the Business Process Outsourcing Industry: A Call Center Case Study

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    In this paper, we study the business model of a call center in the business process outsourcing industry through case study research method to understand its business model and critical success factors. We found that the case company employed a concept of โ€œvirtual call centerโ€ and has developed โ€œstandard service processesโ€ and โ€œreusedโ€ them across various industries, product lines, and countries with only minor adjustment and customization. The case company leaned from Intelโ€™s Copy Exactly technology transfer method and TSMCโ€™s smart copy to take advantage of the experience curve. Its business model, and deployment and integration of information and communication technologies makes it possible to shorten the time for developing new services, reduce CSR training cost, and maintain competitive advantages such that it continues to grow rapidly and is profitable. Therefore, the company can provide streamlined and professional service for their business clients to keep excellent customer relationship. We have observed the new phenomena, โ€œService Sector Manufacturizationโ€ through the analysis of the case data collected
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