1,153 research outputs found

    A study of firm's behavior in the B2B e-business regime

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    Thesis (S.M.in Construction Engineering and Management)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002.Includes bibliographical references (p. 131-132).The economic essence of Internet-based B2B business has become an ever-important market concern after the dot-com mania collapsed in early 2001. Many theories have been developed to understand this new business pattern. Nevertheless, lots of puzzles remained unsolved. So far, even whether B2B e-business is a temporary phenomenon; or is it just the extension of the old VAN-EDI system is still under debate. This research tries to answer some of the most fundamental questions of why and how companies adopt e-business application by studying the e-business fast mover's behaviors in the following three domains: the initiative for firm to adopt e-business, the business model and strategy developed to leverage Internet-based network system, and the barriers to implementing e-business practice. (1) The initiative for firm to adopt B2B e-business: the improvement of economic efficiency is used to measure firm's incentive in adopting E-business. Internet-based business tends to reduce production and distribution cost; and increases market transparency. It is argued that benefits from lowered cost are offset by buyer's higher bargaining power. Nevertheless, study shows that market power is critical as advanced computation capacity improves firm's ability to detect buyer's behavior, firms with larger market power have access to better quality data and gain substantial edge over smaller competitors. (2) The business models and strategy developed by firms to leverage e-business: Strategies of existing large firms are to pay their suppliers to link to their system in order to leverage the reduced production cost. They can, however, increase revenue by improving IT-based marketing and service quality. Small firm's strategy is to link their system with large firm's interface to gain competitive advantage over rivals. Start-up's strategy has been to reinforcing network externality to gain market share as markups are thin. The new trend for start-ups will be to differentiate their functionability and create new value-added for production firms. (3) The barriers for firms to adopt e-business: In the industry level, major barriers including fragmented market structure, unstandardized product and production process. In the firm level, the major barriers including organization and culture restructuring, interoperability between ebusiness application and with legacy system, lack of qualified personnel and knowledge, and the interoperability with complementary companies.by I-Tsung Tsai.S.M.in Construction Engineering and Managemen

    A Study on effectiveness of policy support for SME's export

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    Thesis(Master) --KDI School:Master of Development Policy,2016This paper aims to analyze the effectiveness of policy support for SME's export. Since domestic market is already limited and the competitiveness with large enterprises is getting severe, the export expansion is indispensable to improve the growth potential of SMEs. Since SMEs play an important role in the Korean economy, it is necessary to support the export expansion to improve the growth potential of SMEs as well as job creation. To expand the export assistance programs by the Korean government, the effectiveness of SME export support policy should be proved. For this purpose, OLS (Ordinary Least Squares) regression is applied to 2,439 SMEs including the treatment group of 578 and the control group of 1,861. It observedwhether the policy support is directly effective on SME's export, the variable of 'subsidy', which SMEs receive from the government, is included as an independent variable with that of 'export growth', which is the growthrate of SME's export, as a dependent variable. As a result, the policy support for SMEs have a positive impact on export with a statistically significance at the 10% level. Thus, export is the effective means to improve the growth of SMEs.I. Introduction II. Literature Review III. Methodology and Data IV. Analysis Result V. Conclusion VI. ReferencemasterpublishedHeeran KIM

    Impact of Generative AI on Small and Medium Enterprises' Revenue Growth: The Moderating Role of Human, Technological, and Market Factors

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    Background: The generative artificial intelligence (AI) technologies have become strategic tools for small businesses seeking maintain competitive advantage. The usefulness of of these technologies are well-recognized in SMEs, yet it is becoming important to explore how other factors might affect the degree to which these benefits are realized. The present study emerges from this necessity, aiming to provide a quantitative assessment of how generative AI adoption affects SME revenue growth and to what degree this effect relies on human capital, technological infrastructure, and market competition. Objectives: The aim of this research is to empirically examine not only the direct effects generative AI on revenue growth but also how this relationship is shaped by several moderating factors such as human, technological, and market factors. These factors can either amplify or diminish the potential gains from generative AI adoption.Data and Methods: To understand the relationships, data from 331 SMEs were analyzed using 3 Regularization regression methods, namely, Ridge, Lesso, and Elastic Net Regression methods.Findings: The results indicates that companies benefit from adopting generative AI technologies. The moderating effects of human capital indicates that businesses not only benefit from adopting generative AI but do so especially when they have highly educated employees. This implies that human capital can enhance or is complementary to the advantages provided by the generative AI, possibly through more effective utilization. The moderating effects of existing firm’s infrastructure also has a positive effect, suggesting that the benefits of generative AI are amplified when a business has good existing technological infrastructure. This means that businesses with modern or advanced tech facilities can leverage AI technology more effectively than those with outdated or less capable infrastructure. The moderating effects of market competition showed a negative result indicating that the advantage gained from generative AI adoption may decrease as market competition intensifies. This suggests that in highly competitive markets, the edge provided by AI is less distinct, perhaps because competitors are also likely to adopt similar technologies, negating the competitive advantage.Conclusion: The findings suggest that simply deploying generative AI will not suffice; instead, it should be part of a broader strategy that considers market dynamics, skilled human capital to operate, and improving existing technological infrastructure

    Russia: firm entry and survival

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    Why are there so few new firms in Russia? This paper provides further insights into the specific Russian business landscape and how it impacts the low level of new firm entry. As this paper indicates, internationally comparative data does not provide many clues since in terms of purely formal constraints, Russia fairs comparatively well. However, a deeper analysis uncovers the informal impediments associated with the lack of rule of law, inconsistent enforcement of regulations, regional autonomy and pervasive corruption. These informal constraints form impediments not only for new firm creation but also for firm survival and firm exit. Since not all industries are affected in the same way, this paper includes a comparison between a new and traditional industrial sector: software development and the textile industry
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