• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.5
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• pp.1-16
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• 2018

The Ministry of Agriculture, Forestry and Fisheries prepared the sixth industrialization certification system to increase the added value in the agricultural sector, but it is a bit hard to judge that the system has been in the stage of creating sufficient added value. In particular, because of the Fourth Industrial Revolution, there is a significant change in all industry sectors, including innovation in technology, and the change of perception among the society members is being rapidly changed toward the corporate sector's social role. Thus, we surveyed companies that received the sixth industrialization enterprise certificate to address this phenomenon and find clues on how to be competitive. We selected 800 companies certified by the Ministry of Agriculture, Forestry and Fisheries as sixth industrialization enterprises as our study samples. Among them, we subjected 275 respondents to a final analysis upon eliminating incomplete responses. The result of the study revealed that entrepreneurship, including autonomy that reflects the characteristics of the certified companies, had a significant positive impact on economic value. Moreover, with the size of the companies certified as the sixth industrialization enterprise and the industry trend toward the innovative Fourth Industrial Revolution considered, the strategic orientation including the customer orientation to intensively focus on customer needs and the technology orientation to accept technology as a competitive sector even in the agricultural industry was found to have a significant positive effect on economic value. Strategic orientation demonstrated a significant positive effect on social value. Entrepreneurship demonstrated a significant positive effect on economic values but did not significantly affect the social value. Lastly, while strategic orientation has demonstrated that no mediation effect resulted due to a high direct effect between entrepreneurship and economic value, a complete mediation effect occurred between entrepreneurship and social value. Based on this study, if the companies that received the sixth industrialization enterprise certificate are equipped with not only entrepreneurship but also strategic orientation for customer-oriented thinking and response to technological changes, they can become an influential element in creating not only economic value but also social value, which is emphasized as an element of sustainability.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.6
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• pp.27-42
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• 2020

Startup accelerators have emerged as new investment entities that help early startups, which are not easy to survive continuously due to lack of funds, commercialization capabilities, and experiences. As their positive performance on early startups and the ecosystem has been proven, the number of early startups which want to receive their investment is also increasing. However, they are vaguely preparing to attract accelerators' investment because they do not have any information on what factors the accelerators consider important. In addition, researches on startup accelerators are also at an early level, so there are no remarkable prior studies on factors that decide on investment. Therefore, this study aims to help startups prepare for investment attraction by looking at what factors are important for accelerators to invest, and to provide meaningful implications to academia. In the preceding study, we derived five upper level categories, 26 lower level accelerators' investment determinants through the qualitative meta-synthesis method, secondary data analysis, observation on US accelerators and in-depth interviews. In this study, we want to derive important implications by deriving priorities of the accelerators' investment determinants. Therefore, we used AHP that are evaluated as the suitable methodology for deriving importance and priority. The analysis results show that accelerators value market-related factors most. This means that startups that are subject to investment by accelerators are early-stage startups, and many companies have not fully developed their products or services. Therefore, market-related factors that can be evaluated objectively seem to be more important than products (or services) that are still ambiguous. Next, it was found that the factors related to the internal workforce of startups are more important. Since accelerators want to develop their businesses together with start-ups and team members through mentoring, ease of collaboration with them is very important, which seems to be important. The overall priority analysis results of the 26 investment determinants show that 'customer needs' and 'founders and team members' understanding of customers and markets' (0.62) are important and high priority factors. The results also show that startup accelerators consider the customer-centered perspective very important. And among the factors related to startups, the most prominent factor was the founder's openness and execution ability. Therefore, it can be confirmed that accelerators consider the ease of collaboration with these startups very important.

• Information Systems Review
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• v.25 no.2
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• pp.145-162
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• 2023

Asset management is a complex and difficult field that requires insight into numerous variables and even human psychology. Thus, it has traditionally been the domain of professionals, and these services have been expensive to obtain. Changes are taking place in these markets, and the driving force is the digital revolution, so-called the fourth industrial revolution. Among them, the Robo-Advisor service using artificial intelligence technology is the highlight. The reason is that it is possible to popularize investment advisory services with convenient accessibility and low cost. This study aims to clarify what factors are critically important when selecting robo-advisors for service users and providers in Korea, and what perception differences exist in the selection factors between user and provider groups. The framework of the study was based on the marketing mix 4C model, and the design and analysis of the model used Delphi survey and AHP. Through the study design, 4 main criteria and 15 sub-criteria were derived, and the findings of the study are as follows. First, the importance of the four main criteria was in the order of customer needs > customer convenience > customer cost > customer communication for both groups. Second, looking at the 15 sub-criteria, it was found that investment purpose coverage, investment propensity coverage, fee level and accessibility factors were the most important. Third, when comparing between groups, the user group found that the fee level and accessibility factors were the most important, and the provider group recognized the investment purpose coverage and investment propensity coverage factors as important. This study derived useful implications in practice. First, when designing for the spread of the robo-advisor service, the basis for constructing a user-oriented system was prepared by considering the priority of importance according to the weight difference between the four main criteria and the 15 sub-criteria. In addition, the difference in priority of each sub-criteria shown in the group comparison and the cause of the sub-criteria with large weight differences were identified. In addition, it was suggested that it is very important to form a consensus to resolve the difference in perception of factors between those in charge of strategy and marketing and system development within the provider group. Academically, it is meaningful in that it is an early study that presented various perspectives and perspectives by deriving a number of robo-advisor selection factors. Through the findings of this study, it is expected that a successful user-oriented robo-advisor system can be built and spread in Korea to help users.

• Journal of Distribution Science
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• v.8 no.3
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• pp.27-35
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• 2010

As the population, buying power, and intensity of self-expression of the elderly generation increase, its importance as a market segment is also growing. Therefore, the mass marketing strategy for the elderly generation must be changed to a micro-marketing strategy based on the results of sub-segmentation that suitably captures the characteristics of this generation. Furthermore, as a customer access strategy is decided by sub-segmentation, proper segmentation is one of the key success factors for micro-marketing. Segments or sub-segments are different from sectors, because segmentation or sub-segmentation for micro-marketing is based on the homogeneity of customer needs. Theoretically, complete segmentation would reveal a single voice. However, it is impossible to achieve complete segmentation because of economic factors, factors that affect effectiveness, etc. To obtain a single voice from a segment, we sometimes need to divide it into many individual cases. In such a case, there would be a many segments to deal with. On the other hand, to maximize market access performance, fewer segments are preferred. In this paper, we use the term "sub-segmentation" instead of "segmentation," because we divide a specific segment into more detailed segments. To sub-segment the elderly generation, this paper takes their lifestyles and life stages into consideration. In order to reflect these aspects, various surveys and several rounds of expert interviews and focused group interviews (FGIs) were performed. Using the results of these qualitative surveys, we can define six sub-segments of the elderly generation. This paper uses five rules to divide the elderly generation. The five rules are (1) mutually exclusive and collectively exhaustive (MECE) sub-segmentation, (2) important life stages, (3) notable lifestyles, (4) minimum number of and easy classifiable sub-segments, and (5) significant difference in voices among the sub-segments. The most critical point for dividing the elderly market is whether children are married. The other points are source of income, gender, and occupation. In this paper, the elderly market is divided into six sub-segments. As mentioned, the number of sub-segments is a very key point for a successful marketing approach. Too many sub-segments would lead to narrow substantiality or lack of actionability. On the other hand, too few sub-segments would have no effects. Therefore, the creation of the optimum number of sub-segments is a critical problem faced by marketers. This paper presents a method of evaluating the fitness of sub-segments that was deduced from the preceding surveys. The presented method uses the degree of homogeneity (DoH) to measure the adequacy of sub-segments. This measure uses quantitative survey questions to calculate adequacy. The ratio of significantly homogeneous questions to the total numbers of survey questions indicates the DoH. A significantly homogeneous question is defined as a question in which one case is selected significantly more often than others. To show whether a case is selected significantly more often than others, we use a hypothesis test. In this case, the null hypothesis (H0) would be that there is no significant difference between the selection of one case and that of the others. Thus, the total number of significantly homogeneous questions is the total number of cases in which the null hypothesis is rejected. To calculate the DoH, we conducted a quantitative survey (total sample size was 400, 60 questions, 4~5 cases for each question). The sample size of the first sub-segment-has no unmarried offspring and earns a living independently-is 113. The sample size of the second sub-segment-has no unmarried offspring and is economically supported by its offspring-is 57. The sample size of the third sub-segment-has unmarried offspring and is employed and male-is 70. The sample size of the fourth sub-segment-has unmarried offspring and is not employed and male-is 45. The sample size of the fifth sub-segment-has unmarried offspring and is female and employed (either the female herself or her husband)-is 63. The sample size of the last sub-segment-has unmarried offspring and is female and not employed (not even the husband)-is 52. Statistically, the sample size of each sub-segment is sufficiently large. Therefore, we use the z-test for testing hypotheses. When the significance level is 0.05, the DoHs of the six sub-segments are 1.00, 0.95, 0.95, 0.87, 0.93, and 1.00, respectively. When the significance level is 0.01, the DoHs of the six sub-segments are 0.95, 0.87, 0.85, 0.80, 0.88, and 0.87, respectively. These results show that the first sub-segment is the most homogeneous category, while the fourth has more variety in terms of its needs. If the sample size is sufficiently large, more segmentation would be better in a given sub-segment. However, as the fourth sub-segment is smaller than the others, more detailed segmentation is not proceeded. A very critical point for a successful micro-marketing strategy is measuring the fit of a sub-segment. However, until now, there have been no robust rules for measuring fit. This paper presents a method of evaluating the fit of sub-segments. This method will be very helpful for deciding the adequacy of sub-segmentation. However, it has some limitations that prevent it from being robust. These limitations include the following: (1) the method is restricted to only quantitative questions; (2) the type of questions that must be involved in calculation pose difficulties; (3) DoH values depend on content formation. Despite these limitations, this paper has presented a useful method for conducting adequate sub-segmentation. We believe that the present method can be applied widely in many areas. Furthermore, the results of the sub-segmentation of the elderly generation can serve as a reference for mature marketing.

• Journal of Intelligence and Information Systems
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• v.18 no.3
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• pp.153-169
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• 2012

Exhibitions have played a key role of effective marketing activity which directly informs services and products to current and potential customers. Through participating in exhibitions, exhibitors have got the opportunity to make face-to-face contact so that they can secure the market share and improve their corporate images. According to this economic importance of exhibitions, show organizers try to adopt a new IT technology for improving their performance, and researchers have also studied services which can improve the satisfaction of visitors through analyzing visit patterns of visitors. Especially, as smart technologies make them monitor activities of visitors in real-time, they have considered booth recommender systems which infer preference of visitors and recommender proper service to them like on-line environment. However, while there are many studies which can improve their performance in the side of new technological development, they have not considered the choice factor of visitors for booth recommender systems. That is, studies for factors which can influence the development direction and effective diffusion of these systems are insufficient. Most of prior studies for the acceptance of new technologies and the continuous intention of use have adopted Technology Acceptance Model (TAM) and Extended Technology Acceptance Model (ETAM). Booth recommender systems may not be new technology because they are similar with commercial recommender systems such as book recommender systems, in the smart exhibition environment, they can be considered new technology. However, for considering the smart exhibition environment beyond TAM, measurements for the intention of reuse should focus on how booth recommender systems can provide correct information to visitors. In this study, through literature reviews, we draw factors which can influence the satisfaction and reuse intention of visitors for booth recommender systems, and design a model to forecast adaptation of visitors for booth recommendation in the exhibition environment. For these purposes, we conduct a survey for visitors who attended DMC Culture Open in November 2011 and experienced booth recommender systems using own smart phone, and examine hypothesis by regression analysis. As a result, factors which can influence the satisfaction of visitors for booth recommender systems are the effectiveness, perceived ease of use, argument quality, serendipity, and so on. Moreover, the satisfaction for booth recommender systems has a positive relationship with the development of reuse intention. For these results, we have some insights for booth recommender systems in the smart exhibition environment. First, this study gives shape to important factors which are considered when they establish strategies which induce visitors to consistently use booth recommender systems. Recently, although show organizers try to improve their performances using new IT technologies, their visitors have not felt the satisfaction from these efforts. At this point, this study can help them to provide services which can improve the satisfaction of visitors and make them last relationship with visitors. On the other hands, this study suggests that they managers along the using time of booth recommender systems. For example, in the early stage of the adoption, they should focus on the argument quality, perceived ease of use, and serendipity, so that improve the acceptance of booth recommender systems. After these stages, they should bridge the differences between expectation and perception for booth recommender systems, and lead continuous uses of visitors. However, this study has some limitations. We only use four factors which can influence the satisfaction of visitors. Therefore, we should development our model to consider important additional factors. And the exhibition in our experiments has small number of booths so that visitors may not need to booth recommender systems. In the future study, we will conduct experiments in the exhibition environment which has a larger scale.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.157-163
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• 2016

With the rapid expansion of smart-phone based brand app and its marketing implementations, the marketers stake much resources in the success of brand apps so that they are able to reinforce the user satisfaction and intention for repeat use. The purpose of this paper is to understand the characteristics underlying the brand applications and to analyze the usage and attitudes of the users. Self-administered survey on the research variables for respondents of 20-49 age group was conducted and the results as follow. The results are as follows the consumers are more satisfied with its usefulness, entertainment, and design attributes of the brand app. They tend to keep using a brand app that contains useful contents and great entertainment elements. Marketers thus need to reflect those elements when developing and distributing a brand app in order to meet the needs of their customers. The study results would help marketing firms find new competitive edges by providing basic insight for new competition strategies for brand app development.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.319-332
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• 2016

The purpose of this study is to suggest management strategies for both upscale hotel buffet restaurants and independent buffet restaurants by conducting an IPA(Important-Performance/satisfaction Analysis) on the selection attributes for buffet type restaurants. Additionally, the effects of the selection attributes' satisfaction on the "intention to recommend" was tested. Surveys were conducted from April 15th through May 4th, 2016 by using both SNS and off-line surveys of consumers with buffet restaurants dining experiences within the previous year, of which a total number of 160 questionnaires were used for the statistical analysis. The result showed a few different selection attributes in each quadrant; additionally, food quality and menu had positive effects on the "intention to recommend" for hotel buffet restaurants, while food quality was the only selection attribute with positive effects for independent buffet restaurants. Based on the results of the study, it can be suggested for the hotel buffet restaurants to constantly develop new and unique menu items to lead the needs of the fast changing consumers of today instead of focusing on the premium characteristics of upscale hotels and their brand names. In addition, offering a variety desserts seems to be something to re-consider for both types of buffet restaurants.

• Economic and Environmental Geology
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• v.46 no.5
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• pp.469-476
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• 2013

With the advent of a new Korean government, a new national agenda (140 items) was reported. Additionally, Work Plans of the executive bodies were also released, including the Ministry of Science, ICT and Future Planning (MSIP); the Ministry of Trade, Industry and Energy (MOTIE); the Ministry of Oceans and Fisheries (MOF); and the Ministry of Environment (MOE); the Ministry of Land, Infrastructure, and Transport (MOLIT). For government-supported research institutes, it will be important to watch and analyze the changes in the government's primary policies and strategic goals. In this paper, we analyzed new governmental research and development (R&D) policy with respect to geoscience and mineral resources technology. The results indicated that the executive bodies emphasized, for the job creating 'creative economy' and the 'safety and integration society', the establishment of the creative economy; science and technology development based on creativity and innovation; creation of new growth engines by fusion and diffusion; construction of stable energy systems; promotion of environmental industry; and creating satisfactory land services. In the area of geoscience and mineral resources technology, it is time to search for a new, creative, and interagency fusion R&D contents to meet the needs of the public and boost its national competitiveness.

• Archives of design research
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• v.11 no.3
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• pp.219-228
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• 1998

As automobile drivers' desires become ever diversified with the spreading phenomenon of 'characteristic automobile decorations', it is feared that the design quality may be deteriorated, while the safety be retarded in terms of performance and function. In Korea, the 'Dress-up tuning' becomes the source of the social criticism because of lack of relevant codes and professional tuning services, while automobile drivers are excessively having their automobiles overdressed ignoring the overall aesthetic aspect and functions. Under such a circumstance, this study was aimed at reviewing the practices and dress-up accessories by each automobile part of those foreign automobile makers and professional tuners who have introduced the concept of 'customizing' and developed dress-up accessories and various tuning parts only to satisfy their customers' tuning needs. It is anticipated that automobile styling would tend more to pursue a 'coordination' featuring ordinary consumers' individualistic senses, while customers' needs reflecting their life styles be more refined. Meanwhile, Korean automobile consumers have accommodated the product designs : presented within the producers' frameworks, but they are expected to pursue the design values varying according to changing structures of production, society and industry as well as the resultant design activities. In all, makers and designers are requested to be aware of such changing environment structures and thereby, explore other alternatives, or reflect seriously on the socio-cultural implications inherent in the products, namely on the production and consumption of people's favorites.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.6
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• pp.309-314
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• 2017

In general, there are many difficulties in collecting, storing, and analyzing SNS (social network service) data, since those data have big data characteristics, which occurs very fast with the mixture form of structured and unstructured data. In this paper, we propose a new data visualization framework that works on Apache Storm, and it can be useful for real-time and dynamic analysis of SNS data. Apache Storm is a representative big data software platform that processes and analyzes real-time streaming data in the distributed environment. Using Storm, in this paper we collect and aggregate the real-time Twitter data and dynamically visualize the aggregated results through the tag cloud. In addition to Storm-based collection and aggregation functionalities, we also design and implement a Web interface that a user gives his/her interesting keywords and confirms the visualization result of tag cloud related to the given keywords. We finally empirically show that this study makes users be able to intuitively figure out the change of the interested subject on SNS data and the visualized results be applied to many other services such as thematic trend analysis, product recommendation, and customer needs identification.