• Title/Summary/Keyword: sales and service

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The Analysis of the Growth Model and Performance Factors for the Large IT Service Companies in Korea (대형 IT서비스기업의 경영성과 요인 분석 및 성장모델)

  • Kang, Un-Sik;Kim, Hyun-Soo;Ahn, Yeon-S.
    • Journal of Information Technology Services
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    • v.9 no.1
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    • pp.57-71
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    • 2010
  • The purpose of this study is to verify the competence level of IT service companies in Korea from the view point of capability of creating customers value and outcome as an independent companies which have been growing in the captive customers(market) circumstance by performance data analysis and IT specialists survey. This study presents a growth model which emphasis on the importance of the correlation between IT service companies and captive customers. It proves that the captive customers have been being the growth power and motive of the IT service company, because IT service companies have been cumulating the competence for IT service through the service for the customers, and with this competence, IT service companies have been expanding its service out to non-captive market(customers) and got good outcomes as an independent companies. And this study proves that the captive customers who served by the IT service companies which have a higher level of service capabilities have better business outcome. IT service companies contribute to improve the IT level of the captive customers and to make the customers to increase sales by conducting IT projects.

Cancer Incidence by Occupation in Korea: Longitudinal Analysis of a Nationwide Cohort

  • Lee, Hye-Eun;Zaitsu, Masayoshi;Kim, Eun-A;Kawachi, Ichiro
    • Safety and Health at Work
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    • v.11 no.1
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    • pp.41-49
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    • 2020
  • Background: We performed this study to investigate the inequalities in site-specific cancer incidences among workers across different occupations in Korea. Methods: Subjects included members of the national employment insurance. Incident cancers among 8,744,603 workers were followed from 1995 to 2007. Occupational groups were classified according to the Korean Standard Occupational Classification. Age-standardized incidence rate ratios were calculated. Results: We found that men in service/sales and blue-collar occupations had elevated rates of esophageal, liver, laryngeal, and lung cancer. Among women, service/sales workers had elevated incidences of cervical cancer. Male prostate cancer, female breast, corpus uteri, and ovarian cancers, as well as male and female colorectal, kidney, and thyroid cancer showed lower incidences among workers in lower socioeconomic occupations. Conclusions: Substantial differences in cancer incidences were found depending on occupation reflecting socioeconomic position, in the Korean working population. Cancer prevention policy should focus on addressing these socioeconomic inequalities.

Empirical Analysis on the Influence of Service Quality of Leisure Food E-Commerce in China on Consumer Satisfaction Degree (중국 레저푸드 전자상거래의 서비스 품질이 소비자 만족도에 미치는 영향에 관한 실증분석)

  • Liu, Zi-Yang;Meng, Jia
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.07a
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    • pp.407-408
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    • 2019
  • This thesis determines the research framework and scale design of leisure food E-Commerce consumer satisfaction degree by referring to previous theoretical model of customer satisfaction degree, the universal satisfaction evaluation index system, and the characteristics of leisure food E-Commerce in China. In this research, consumers who have bought leisure food online are taken as the research object, data are collected by questionnaires, and exploratory factor method is used to screen valid sample data. Through the Empirical Analysis which includes Descriptive Statistical Analysis, Reliability and Validity Analysis and Structural Equation Modeling, it is concluded that website design, logistics delivery service, commodity quality, and after-sales service are the main service quality on which the Leisure food E-Commerce enterprises should take focus. The service quality has significant positive influences on satisfaction degree. On the other hand consumer satisfaction has a significant positive influence on customer loyalty, which will create more earnings for the Leisure food E-Commerce enterprises.

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Distributing Goods and Information Flow: Factors Influencing Online Purchasing Behavior of Indonesian Consumers

  • MAIDIANA, Karilla;HIDAYAT, Z.
    • Journal of Distribution Science
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    • v.19 no.7
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    • pp.5-17
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    • 2021
  • Purpose: The distribution of goods and the flow of information, determined by consumer behavior toward online shopping, is drastically popular worldwide. This study examines some factors such as brand trust, online sales promotion, consumer personality, delivery service, quality assurance, information search, and online consumer satisfaction influence online shopping behavior. Research design, data, and methodology: A constructed questionnaire in an online survey was conducted with 241 random cluster respondents in the greater Jakarta Area. Structure equation model was utilized to analyze and verify all the data. Results: Research finding indicates online sales promotion, delivery service, quality assurance, and online consumer satisfaction positively influence information search. Meanwhile, brand trust, quality assurance, and information search positively influence online shopping behavior. However, the result illustrates that consumer personality negatively influences both information search and online shopping behavior. Conclusions: To influence online shopping behavior, the most important factors that need to be considered by marketplaces are quality assurance. It positively motivates Indonesia's citizens to collect information and make unplanned purchases. The study finding can be a reference for brands to maintain and build outstanding product quality, an informational website, and an excellent marketing strategy so that customers can meet their expectations. Besides, it also broadens both companies' and individuals' knowledge about the digital revolution on consumer behavior.

A study on transferring the effects of brand reputation and level of service satisfaction of an offline channel company when it is expanding to an online distribution channel (온라인 유통채널 확장시 오프라인 채널의 브랜드 명성, 서비스 만족도의 이전 효과에 관한 연구)

  • Hwang, Hee-Joong;Lee, Sun-Mi
    • Journal of Distribution Science
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    • v.9 no.2
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    • pp.31-36
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    • 2011
  • I conducted empirical analyses of what happens when an offline channel expands to an online channel and whether the pre-existing offline channel's competitive assets (e.g. brand reputation and level of service satisfaction) can be linked to online channel preference. I found that an offline channel's brand reputation and level of service satisfaction can have a direct influence on offline channel preference and a second-hand influence on online channel preference. Thus, if the competitiveness of the online channel is strong enough and its customers have a higher preference for the offline channel, they will be committed and loyal to the company. The resultant enhanced competitiveness of the offline channel will present opportunities for both present and future success. The main results are the following. First, the management of the distribution channel service quality is more important than that of the brand reputation. Customers' experiences of service and subjective evaluations are not important only as the leading factors in the long-term brand reputation management but also as influential factors in channel preference. SoThus, given that the service quality of the pre-existing channel is not the customers' main concern, a strategy of improving the level of service satisfaction aimed at present customers is more valuable than a wide brand positioning strategy aimed at general and new customers. Second, when an offline channel company establishes an internet shopping mall on an online channel, it is highly likely that the preference and subjective evaluation of the present customers will influence the online channel. This applies not only to the special case of an expansion from an offline intermediary channel to an online one, but also to an online channel acting as an expansion of the business model of a conventional manufacturing or service company: both cases are vertical integrations of marketing channels in an expansion of the distribution channel. My theory applies to a wide range of contexts. Third and finally, any business strategy can grasp the meaning of 'channel expansion. Fundamentally, it is an expansion of the sales activity channel and marketing activity. However, it is also a way of enhancing marketing and sales competitiveness through an expansion to an online or offline channel. The expansion of an offline company to an online channel could be seen not as improvement but as an innovation of the business process by which two goals are achieved with one technique. The former is expected to increase the sales of the offline company, and the latter is also expected to increase sales while also contributing to cost reduction.

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The Effects of e-Business on Business Performance - In the home-shopping industry - (e-비즈니스가 경영성과에 미치는 영향 -홈쇼핑을 중심으로-)

  • Kim, Sae-Jung;Ahn, Seon-Sook
    • Management & Information Systems Review
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    • v.22
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    • pp.137-165
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    • 2007
  • It seems high time to increase productivity by adopting e-business to overcome challenges posed by both external factors including the appreciation of Korean won, oil hikes and fierce global competition and domestic issues represented by disparities between large corporations and small and medium enterprises (SMEs), Seoul metropolitan and local cities, and export and domestic demand all of which weaken future growth engines in the Korean economy. The demands of the globalization era are for innovative changes in businessprocess and industrial structure aiming for creating new values. To this end, e-business is expected to play a core role in the sophistication of the Korean economy through new values and innovation. In order to examine business performance in e-business-adopting industries, this study analyzed the home shopping industry by closely looking into the financial ratios including the ratio of net profit to sales, the ratio of operation income to sales, the ratio of gross cost to sales cost, the ratio of gross cost to selling, general and administrative (SG&A) expense, and return of investment (ROI). This study, for best outcome, referred to corporate financial statements as a main resource to calculate financial ratios by utilizing Data Analysis, Retrieval and Transfer System (DART) of the Financial Supervisory Service, one of the Korea's financial supervisory authorities. First of all, the result of the trend analysis on the ratio of net profit to sales is as following. CJ Home Shopping has registered a remarkable increase in its ratio of net profit rate to sales since 2002 while its competitors find it hard to catch up with CJ's stunning performances. This is partly due to the efficient management compared to CJ's value of capital. Such significance, if the current trend continues, will make the front-runner assume the largest market share. On the other hand, GS Home Shopping, despite its best organized system and largest value of capital among others, lacks efficiency in management. Second of all, the result of the trend analysis on the ratio of operation income to sales is as following. Both CJ Home Shopping and GS Home Shopping have, until 2004, recorded similar growth trend. However, while CJ Home Shopping's operating income continued to increase in 2005, GS Home Shopping observed its operating income declining which resulted in the increasing income gap with CJ Home Shopping. While CJ Home Shopping with the largest market share in home shopping industryis engaged in aggressive marketing, GS Home Shopping due to its stability-driven management strategies falls behind CJ again in the ratio of operation income to sales in spite of its favorable management environment including its large capital. Companies in the Group B were established in the same year of 2001. NS Home Shopping was the first in the Group B to shift its loss to profit. Woori Home Shopping has continued to post operating loss for three consecutive years and finally was sold to Lotte Group in 2007, but since then, has registered a continuing increase in net income on sales. Third of all, the result of the trend analysis on the ratio of gross cost to sales cost is as following. Since home shopping falls into sales business, its cost of sales is much lower than that of other types of business such as manufacturing industry. Since 2002 in gross costs including cost of sales, SG&A expense, and non-operating expense, cost of sales turned out to have remarkably decreased. Group B has also posted a notable decline in the same sector since 2002. Fourth of all, the result of the trend analysis on the ratio of gross cost to SG&A expense is as following. Due to its unique characteristics, the home shopping industry usually posts ahigh ratio of SG&A expense. However, more than 80% of SG&A expense means the result of lax management and at the same time, a sharp lower net income on sales than other industries. Last but not least, the result of the trend analysis on ROI is as following. As for CJ Home Shopping, the curve of ROI looks similar to that of its investment on fixed assets. As it turned out, the company's ratio of fixed assets to operating income skyrocketed in 2004 and 2005. As far as GS Home Shopping is concerned, its fixed assets are not as much as that of CJ Home Shopping. Consequently, competition in the home shopping industry, at the moment, is among CJ, GS, Hyundai, NS and Woori Home Shoppings, and all of them need to more thoroughly manage their costs. In order for the late-comers of Group B and other home shopping companies to advance further, the current lax management should be reformed particularly on their SG&A expense sector. Provided that the total sales volume in the Internet shopping sector is projected to grow over 20 trillion won by the year 2010, it is concluded that all the participants in the home shopping industry should put strategies on efficient management on costs and expenses as their top priority rather than increase revenues, if they hope to grow even further after 2007.

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A Study on a Sales Promotion Strategy for HMR Products in Discount Stores (대형마트 HMR 판매촉진전략 연구)

  • Kim, Kwang-Ji
    • Culinary science and hospitality research
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    • v.19 no.4
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    • pp.256-267
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    • 2013
  • This study is a case study that drew efficient HMR sales promotions and verified their applications to business. An analysis of customer needs for HMR products in discount stores showed that diverse menu was ranked 1st with 29.1%, followed by packaging with 23.6%, price with 22%, menu information with 14.2%, and quality of food with 11.0%.. Main results of this study are indicated below. First, there were significant differences in sales before (3,932,313 won, a daily average 187,253 won) and after (4,840,063 won, a daily average 230,479 won) packaging improvement. Second, there were significant differences in sales of salad products before (4,627,508 won, a daily average 220,356 won) and after (5,238,365 won, a daily average 249,446 won) information improvement. The implications of this study are shown as follows. From a theoretical perspective, this study identified the sales promotion methods of HMR products through direct observation, interviews, and a survey to the customers who visited the stores. From a practical standpoint, this study measured the effects of theoretically confirmed sales promotion methods such as packaging, menu information, and diverse menu by analyzing the change in sales resulting from application of these methods at HMR business in discount stores.

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The Effects of Prior Sales Change on Asymmetric Cost Behavior of R&D Costs (전기 매출액 변동이 연구개발비의 비대칭적 원가행태에 미치는 영향)

  • Noh, Gil-Kwan;Lee, Jeong-Eun
    • Journal of Digital Convergence
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    • v.17 no.12
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    • pp.109-115
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    • 2019
  • The purpose of this study is to analyze the effect of Prior Sales change on R&D Costs and each detail item, and to analyze what decision managers make when changing sales. In order to conduct a more in-depth analysis as well as a one-period model of Anderson et al. (2003), which was used in previous studies, the two-period model of Banker et al.(2014) And analyzed the detailed items. As a result of the analysis, it is possible to confirm cost stickiness behavior only in the depreciation cost and others due to the limit of the model in the one period model. For a more in-depth analysis, the analysis of two-period model showed that labor costs and other items showed cost stickiness behavior when prior sales increased, but total R&D costs showed a anti-cost stickiness behavior. When prior sales decline, consigned service costs showed a cost stickiness behavior. This study is meaningful because it analyzed the effect of prior sales change on R&D cost behavior which were not performed in previous studies. Furthermore, we expect to be able to conduct more detailed research by sales and industry in future studies.

A Study on the Satisfaction of Low-cost Carrier Service influence on Reuse and Local Tourism Industry in Korea (우리나라 저가항공 서비스의 만족이 재이용과 지역관광산업에 미치는 영향에 관한 연구)

  • Kim, Hyo-Kyung;Moon, Jae-Young
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.01a
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    • pp.109-110
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    • 2020
  • Today, the tourism industry, unlike the past, is fused with various fields and is closely related to various fields, not just one field. In the case of the tourism industry, it leads to an increase in product sales through not only national import but also enhancing national image, forming a positive virtuous chain. As mentioned in order to verify the hypothesis presented in this study, pilot tests were conducted on about 50 copies of the data, and as a result, in-flight service (H1), flight service (H2), compensation service (H3), and reservation service (H4) It has been shown to have a positive effect on customer satisfaction, and when customer satisfaction is achieved, it naturally leads to reuse.

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T-Commerce Sale Prediction Using Deep Learning and Statistical Model (딥러닝과 통계 모델을 이용한 T-커머스 매출 예측)

  • Kim, Injung;Na, Kihyun;Yang, Sohee;Jang, Jaemin;Kim, Yunjong;Shin, Wonyoung;Kim, Deokjung
    • Journal of KIISE
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    • v.44 no.8
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    • pp.803-812
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    • 2017
  • T-commerce is technology-fusion service on which the user can purchase using data broadcasting technology based on bi-directional digital TVs. To achieve the best revenue under a limited environment in regard to the channel number and the variety of sales goods, organizing broadcast programs to maximize the expected sales considering the selling power of each product at each time slot. For this, this paper proposes a method to predict the sales of goods when it is assigned to each time slot. The proposed method predicts the sales of product at a time slot given the week-in-year and weather of the target day. Additionally, it combines a statistical predict model applying SVD (Singular Value Decomposition) to mitigate the sparsity problem caused by the bias in sales record. In experiments on the sales data of W-shopping, a T-commerce company, the proposed method showed NMAE (Normalized Mean Absolute Error) of 0.12 between the prediction and the actual sales, which confirms the effectiveness of the proposed method. The proposed method is practically applied to the T-commerce system of W-shopping and used for broadcasting organization.