LDA 알고리즘을 이용한 프랜차이즈 연구 동향에 대한 토픽모델링 분석

양회창(Hoe-Chang YANG) 한국프랜차이즈경영학회 2021 프랜차이즈경영연구 Vol.12 No.4

Purpose: This study aimed to derive clues for the franchise industry to overcome difficulties such as various legal regulations and social responsibility demands and to continuously develop by analyzing the research trends related to franchises published in Korea. Research design, data and methodology: As a result of searching for franchise in ScienceON, abstracts were collected from papers published in domestic academic journals from 1994 to June 2021. Keywords were extracted from the abstracts of 1,110 valid papers, and after pre-processing, keyword analysis, TF-IDF analysis, and topic modeling using LDA algorithm, along with trend analysis of the top 20 words in TF-IDF by year group was carried out using the R-package. Results: As a result of keyword analysis, it was found that businesses and brands were the subjects of research related to franchises, and interest in service and satisfaction was considerable, and food and coffee were prominently studied as industries. As a result of TF-IDF calculation, it was found that brand, satisfaction, franchisor, and coffee were ranked at the top. As a result of LDA-based topic modeling, a total of 12 topics including “growth strategy” were derived and visualized with LDAvis. On the other hand, the areas of Topic 1 (growth strategy) and Topic 9 (organizational culture), Topic 4 (consumption experience) and Topic 6 (contribution and loyalty), Topic 7 (brand image) and Topic 10 (commercial area) overlap significantly. Finally, the trend analysis results for the top 20 keywords with high TF-IDF showed that 10 keywords such as quality, brand, food, and trust would be more utilized overall. Conclusions: Through the results of this study, the direction of interest in the franchise industry was confirmed, and it was found that it was necessary to find a clue for continuous growth through research in more diverse fields. And it was also considered an important finding to suggest a technique that can supplement the problems of topic trend analysis. Therefore, the results of this study show that researchers will gain significant insights from the perspectives related to the selection of research topics, and practitioners from the perspectives related to future franchise changes.

Consumer Regret: Effect of Counter-Factual Thinking on Post-Purchase Behavior

Yang,Hoe-Chang,Kim,Young-Ei 한국유통과학회 2019 KODISA ICBE (International Conference on Business Vol.2019 No.-

This study inspected effect of counter-factual thinking on post-purchase behavior producing consumer regret at HMR selection and purchase to find out factors that HMR production and distribution business should consider. The consumers who often resented HMR purchase did counter-factual thinking on post-purchase behavior to be likely to do switching purchase. Counter-factual thinking on post-purchase behavior had negative influence upon consumer s satisfaction with HMR safety and marketing characteristics.

He 원자 구조에 관한 수치 해석적 연구

양희룡,최승평,장차익 조선대학교 기초과학연구소 1997 自然科學硏究 Vol.20 No.1

The one-electron theory of atoms, molecules, and crystals has enjoyed a wide success in many branches of physics. This theory provides a physically appealing description of the eletronic structure of many-electron systems. In addition, this theory provides a convenient basis for performing the detailed calculations on specific many-electron systems. In such calculations, it is usually necessary to introduce many simplifying assumptions in order to make a progress. Since the principal computational difficulty posed by the Hartree-Fock equations is the treatment of the exchange terms, it would be very desirable to simplify the treatment of these terms by using Slater's the average of the exchange potential. The first order correction of the energy in the ground state of He atom is calculated by using the unperturbed wave function obtained with the Hartree-Fock-Slater approximation and compared with the result obtained by the simple analytical metod. The numerical result agrees with an experimental result for the ground state of the He atom with tolerance 0.65%.

몬테카를로 방법에 의한 수소분자의 기저상태 에너지의 수치 해석적인 계산

양해정,양회룡,정진,김미정,최승평,장차익 조선대학교 기초과학연구소 2000 自然科學硏究 Vol.23 No.1

Numerical methods that are known as Monte as Monte Carlo methods can be loosely described as statistical simulation methods, where statistical simulation is defined in quite general terms to be any method that utilizes sequences of random numbers to perform the simulation. Monte Carlo methods are now used routinely in many problems, the simulation of the esoteric subnuclear processes in high energy physics experiments, cellular automata, self-organized critical phenomena, the Ising spin glass, the simulation of a Bingo game, etc. The physical processes are simulated directly, and there are no needs to even write down the differential equations that describe the behaviors of the systems. The only requirement is that the physical systems be described by probability density functions. We consider with the Monte Carlo variational method and the Monte Carlo path integral method(MCPI). These methods are used to calculate the energy of the ground states of H2 molecule by the formal similarity between the Schroedinger equation and the multi-dimensional diffusion equation.

He 원자의 가장 낮은 들뜬 상태 에너지의 수치 계산

차혁렬,양해정,김미정,정진,양회룡,최승평,장차익 조선대학교 기초과학연구소 1999 自然科學硏究 Vol.22 No.1

The one-electron theory of atoms, molecules, and crystals have enjoyed a wide success in many branches of physics. This theory provides a physically appealing description of the electronic structure of many-electron systems. In addition, this theory gives a convenient basis for performing the detailed calculation on specific many-electron systems. In such calculations, it is usually necessary to introduce many simplified assumptions in order to make a progress. Since the principal computational difficulty supposed by the Hartree-Fock equations is the treatment of the exchange term, it would be very desirable to simplify the treatment of these terms by using Slater's average of the exchange potential. The first order correction of energy in the lowest excited states of He atom is calculated by using the unperturbed wave function obtained with the Hartree-Fock-Slater approximation and compared with the result obtained by the simple analytical method. The numerical results agrees with an experimental results for the lowest excited states of He atom with tolerance 3.22%, 2.16%, 2.94% and 3.41%. These results show that the numerical analysis can be applied to other multielectron atoms with the personal computer.

강자성체에서 상전이의 수치적 모의실험

유대영,양해정,양회룡,정진,최승평,장차익 조선대학교 기초과학연구소 2001 自然科學硏究 Vol.24 No.-

It is difficult to explain the magnetic phase transition with classical physics in Curie temperature. We studied qualitatively with the well known Ising model in statistical mechanics. We simulated systems of finite size by Monte Carlo methods with Metropolis algorithm. Thus we could estimate the values of quantities such as the magnetization(m) per spin the specific heat(c) per spin the magnetic susceptibility(χ) per spin, and the mean energy per spin compare with the numerical values in infinitive size. The quantities of c, m, χ, e varied rapidly within 2.3∼2.4 temperature at J/k units. Those values show that the critical temperature can be within the range. The hysteresis loop was obtained with this model.

모델원자들에 의한 전자 산란 단면적 계산

정진,양회룡,최승평,장차익 조선대학교 기초과학연구소 1998 自然科學硏究 Vol.21 No.1

The scattering cross section in model atom is the physical quantity which is susceptible of a reasonably direct experimental measurement and which at the same time lends itself readily to calculation, and which establish contact between scattering theory and scattering experiment to assist each other. We have calculated the differential cross section and total cross sections of electrons by targets which are Cu, S, He, Ne, Ar on the ground state without the targets distortion with the Born approximation and the Eikonal approximation. the electron energies are in the range up to about 1.3 ev∼10 kev. The potential used to represent the interaction between atom and electron in our calculation is the same as that is used by Lens-Jensen in the evaluation of the cross-sections. We used the Gauss Legndre quadrature for our numerical integration in our differential equations.

The Influence of Price and Customer Value on Long-term Purchasing of e-Commerce in Industrial Goods Market : Mediating Effects and Moderating Effects of Perceived Supplier Trust

Young-Chul Lee,Su-Ji Lim,Hoe-Chang Yang 한국유통과학회 2013 KODISA ICBE (International Conference on Business Vol.2013 No.-

In this study, B2B buyers bought according to theory of reasonable behavior(TRA) to select consumer values and price of personal goal of online shopping mall and social commerce and to investigate effects of factors upon long term purchasing as well as mediation and moderation effects of perceived supplier’s trust on website. The study investigated operation of TRA on online trade to find out conditions for optimum B2B e-trade. 235 copies of effective questionnaires who were industrial tool distribution of the B2B buying agent were collected. And we used regression, multiple regression and 3 step regression for verified hypotheses. Managerial or theoretical implications from this study as follows; First, B2B suppliers should give competitive prices to do long term online trade to give reasonable prices that buyers could accept. Second, mutual reaction of the trust was found to be effective between price and long-term purchasing only. As, suppliers who wanted to keep long term business relations by online commerce should have price competitiveness and take active actions against prices changes. Finally, TRA was found to be appropriate at B2B online commerce. So, further studies should be made to investigate behavioral factors of buyers of TRA as well as discovery of attitude factors of subjective norms and behaviors.

Topic Modeling Analysis of Beauty Industry using BERTopic and LDA

Hoe-Chang YANG(Hoe-Chang YANG),Won-Dong LEE(Won-Dong LEE) 국제융합경영학회 2022 융합경영연구 Vol.10 No.6

Purpose: The purpose of this study is identifying the research trends of degree papers related to the beauty industry and providing information which can contribute to the development of the domestic beauty industry and the direction of various research about beauty industry. Research design, data and methodology: This study used 154 academic papers and 189 academic papers with English abstracts out of 299 academic papers. All of these papers were found by searching for the keyword “beauty industry” in ScienceON on August 15, 2022. For the analysis, BERTopic and LDA (Latent Dirichlet Allocation) analysis were conducted using Python 3.7. Also, OLS regression analysis was conducted to understand the annual increase and decrease trend of each topic derived with trend analysis. Results: As a result of word frequency analysis, the frequency of satisfaction, management, behavior, and service was found to be high. In addition, it was found that 'service', 'satisfaction' and 'customer' were frequently associated with program and relationship in the word co-occurrence frequency analysis. As a result of topic modeling, six topics were derived: ‘Beauty shop’, ‘Health education’, ‘Cosmetics’, ‘Customer satisfaction’, ‘Beauty education’, and ‘Beauty business’. The trend analysis result of each topic confirmed that ‘Beauty education’ and ‘Health education’ are getting more attention as time goes by. Conclusions: The future studies must resolve the extreme polarization between the structure of the small beauty industry and beauty stores. Furthermore, the researches have to direct various ways to create the performance of internal personnel. The ways to maximize product capabilities such as competitive cosmetics and brands are also needed attentions.

Research Trend Analysis on Customer Satisfaction in Service Field Using BERTopic and LDA

Woo-Ryeong YANG(Woo-Ryeong YANG),Hoe-Chang YANG(Hoe-Chang YANG) 국제융합경영학회 2022 융합경영연구 Vol.10 No.6

Purpose: The purpose of this study is to derive various ways to realize customer satisfaction for the development of the service industry by exploring research trends related to customer satisfaction, which is presented as an important goal in the service industry. Research design, data and methodology: To this end, 1,456 papers with English abstracts using scienceON were used for analysis. Using Python 3.7, word frequency and co-occurrence analysis were confirmed, and topics related to research trends were classified through BERTopic and LDA. Results: As a result of word frequency and co-occurrence frequency analysis, words such as quality, intention, and loyalty appeared frequently. As a result of BERTopic and LDA, 11 topics such as 'catering service' and 'brand justice' were derived. As a result of trend analysis, it was confirmed that ‘brand justice’ and ‘internet shopping’ are emerging as relatively important research topics, but CRM is less interested. Conclusions: The results of this study showed that the 7P marketing strategy is working to some extent. Therefore, it is proposed to conduct research related to acquisition of good customers through service price, customer lifetime value application, and customer segmentation that are expected to be needed for the development of the service industry.