• Journal of Ocean Engineering and Technology
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• v.27 no.2
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• pp.19-26
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• 2013

Stress triaxiality is recognized as one of the most important factors for predicting the failure strain of ductile metals. This study dealt with the effect of the average stress triaxiality on the failure strain of a typical low-temperature high-strength marine structural steel, EH36. Tensile tests were carried out on flat specimens with different notches, from relatively smooth to very sharp levels. Numerical simulations of each specimen were performed by using ABAQUS. The failure initiation points in numerical simulations were identified from a comparison of the engineering stress vs. strain curves obtained from experiments with simulated ones. The failure strain curves for various dimensionless critical energy levels were established in the average stress triaxiality domain and compared with the identified failure strain points. It was observed that most of the failure initiation points were approximated with a 100% dimensionless critical energy curve. It was concluded that the failure strains were well expressed as a function of the average stress triaxiality.

• Journal of Service Research and Studies
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• v.6 no.2
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• pp.215-232
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• 2016

As the development of service marketing, research on service failure has gained more and more attention. This research aims to explore factors influencing the service failure severity perception, focus on consumers' internal propensity, ZOT(zone of tolerance) about service and comparison with other consumers in service failure situation. According to study results, it revealed that past experience satisfaction has negative effect on the zone of tolerance about service failure. Company image also has negative effect on the ZOT about service failure. While service importance has negative effect on the ZOT about service failure, it has positive effect on the perceive service failure severity. The ZOT about service failure has negative effect on perceived serviced failure severity. In contrast, social comparison perception level has no effect on perceived service failure severity, and negative affectivity also has no effect on that. In Conclusion, five hypothesis are accepted among seven hypothesis. This study gives important point to researchers and service providers in the service industry. For researchers, the result will be helpful them to further develop service failure and recovery framework. For service providers, the results will suggest specific guidelines for recovering the service failure. They can place emphasis on the serious point, so they can get a effective performance from the recovery strategy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.4 no.1
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• pp.67-88
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• 2009

The purpose of this study IS to suggest the failure factors and the success factors of technology-based startups(TBS). This study surveyed 327 startup companys on the general obstacles of starting business and the entrepreneurship policy of the Government. The failure factors of TBS are 1) overconfidence of TBS in their technology, 2) lack of cost management, 3) lack of concentration on the sales revenue of their activies, 5) many unplanned challenges, and 5) lack of strategic decision. And the success factors of TBS are 1) CEO's leadership having a clear business concept, 2) development of innovative products and services, 3) flat and flexible organization structure, 4) leveraging outside business resources and networks, and 5) strengthening the human resources by the hybrid agent.

• Proceedings of the Korean Nuclear Society Conference
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• 2004.10a
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• pp.609-610
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• 2004

• International Journal of Reliability and Applications
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• v.2 no.3
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• pp.161-187
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• 2001

Starting with the meaning of the word quality, diverse concepts connoted by the term are examined. Instead of a bathtub curve, the desirable shape of a failure rate covering the entire life of a good product, which might be called hockey-stick line, is introduced. From the hockey-stick line and the definition of reliability, two measurements are extracted. The terms reliability, failure rate, product life, and durability are explained. From the customer's standpoint, the concept of product quality is classified in five factors, according to related technology: performance, reliability, conformance to specifications, customer perception, and fundamentals advantage. The correlation of the five factors for a first-class product is discussed, Since the market share of a company is determined as the competition result of its product value, defined as product quality and price, the market share increase is derived mathematically from the increment of product value. The market share increase, $\Delta$S, can be calculated from the present market share, S, and the oriented relative value increment of new product, R, to the current product in the same company for the same market target: $\Delta$S : $\Delta$(1-S). R/(1+S.R). Finally, the importance of separating warranty cost from the profit equation for the durables is explained.

• Journal of Korean Dental Science
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• v.2 no.2
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• pp.24-30
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• 2009

Two component orthodontic C-implants have been introduced as intermaxillary fixation (IMF) screws in cases of periodontal problems with bone loss, severely damaged teeth, or short roots. This retrospective research sought to investigate the complications and risk factors associated with the failure of two-part C-implants for IMF cases and to show the possible indications compared to one-component mini-implants. The study sample consisted of 46 randomly selected patients who had a total of 203 implants. Pearson chi-square tests of independence were used to test for associations among categorical variables. At least 19 of the total 203 implants failed (9.3%). There was no significant difference in implant failure due to gender, oral hygiene, and placement, although a significant difference due to soft tissue characteristics and root contact was observed. The two-component design of the mini-implant is reliable for difficult IMF cases. Note, however, that the factors influencing implant failure were found to be age, root damage, and condition of soft tissues.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.2
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• pp.229-240
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• 2014

While the digital environment continues to diffuse rapidly, SNS has been playing important roles in business growth. This study analyzes businesses that have used social network services (SNS) in order to more successfully manage companies by utilizing SNS and to suggest the proper steps In order to accomplish this, major domestic and foreign business cases were selected in order to investigate factors of success and failure for each of them. The analysis results show that the companies that utilized SNS successfully understood the characteristics of SNS and constantly tried creative marketing. On the other hand, enterprises that failed to use SNS properly showed low understanding of SNS and abnormal ways of marketing. Therefore, this research suggests the following conclusion. First of all, sufficient knowledge and understanding of the characteristics of SNS are necessary in order to properly utilize SNS. Next, it is imperative to use SNS not only as a tool to communicate with customers, but also to understand the generations that use SNS. Finally, it would be best to implement a more open wireless internet mobile environment for more active use of SNS.

• Journal of Korean Society of Transportation
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• v.24 no.3 s.89
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• pp.189-195
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• 2006

For the past decades, vehicle emissions has been a major source of air pollution in urban areas Vehicle inspection and maintenance (I/M) test programs were developed for major metropolitan areas to reduce urban air pollution. However. there are a few studies of exploring major factors to influence I/M test failure. This study develops a logit model to identify key factors affecting overall test failure, using the vehicle I/M test data from California in October 2002. The model results indicate that vehicle age, odometer reading, engine size, vehicle make, presences of emissions control equipment, and test types have significant effects on the probability of I/M test failure.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.435-439
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• 2010

The purpose of this paper is to design a new management model based on the grill-formed product charscteristic area(PCA) which specify the position of products classified by the level of market and technology. This product characteristic area is composed of 9 cells and the cases sorted by market and technology are analyzed by each cell. Conclusion of this study based on many significant results gained by the various multi-variate analysis is summarized as follows; First, it can be noted that success/failure factor and progress stages are different by each cell. Second, a new management model is designed by combining the Motive Resource, Success/Failure(S/F) factors, and Progress Stages of New Product Development. Third, success products featured a balance between marketing oriented and technically oriented activities. A new attemp that combine S/F factors with development stages by each product cell will be of great usefulness for further study.

• Asian Journal of Innovation and Policy
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• v.7 no.1
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• pp.79-102
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• 2018

In an entrepreneurial ecosystem, the failure rate of startups is extremely high at 90%, and every startup that fails becomes an orphan. This phenomenon leads to higher costs of failure for the entrepreneurs in the ecosystem. Failed startups have many lessons to offer to the ecosystem and offer guidance to the potential entrepreneur, and this area is not fully explored compared to the literature on successful startups. We use a case based method distinguishing a failed startup and a successful startup, studying the entrepreneurial characteristics and firm level factors which cause the failures, in the technology startup ecosystem of Bangalore. We study one of the modes of exit adopted by failed startup entrepreneurs and draw key lessons on causes that culminate in failures. We have identified that factors such as the time to minimum viable product cycle, time for revenue realization, founders' complementary skillsets, age of founders with their domain expertise, personality type of founders, attitude towards financial independence and willingness to avail mentorship at critical stages, will decisively differentiate failed startups from the successful ones. Accordingly, implications have been derived for potential entrepreneurs for reducing the cost of failures in the entrepreneurial ecosystem.