• Title/Summary/Keyword: sales management

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An Analysis of Character Customization System for Motion Sensing Game (체감형 게임의 캐릭터 커스터마이징 디자인 시스템 분석)

  • Huang, HaiBiao;Hyun, Seung-Hoon;Ryu, Seuc-Ho
    • Journal of Industrial Convergence
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    • v.20 no.4
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    • pp.15-21
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    • 2022
  • With the spread of COVID-19 and restrictions on outdoor exercise, the number of users using motion sensing games indoors is increasing. An avatar-type character design customization system on behalf of gamers is one of the important research topics for developers in that it can increase the game's appeal to gamers. In this paper, a motion sensing game with high sales volume and character customization is selected as a game analysis case. Through the analysis of the character customization system of the three selected games, important elements of the customization system were extracted. Finally, the shortcomings of the motion sensing game character customization system were derived, and improvement plans were presented for the selection system, transformation system, and partial system. It is expected that this proposal will serve as a reference for designing a motion sensing game character customization system in the future.

Development of Demand Prediction Model for Video Contents Using Digital Big Data (디지털 빅데이터를 이용한 영상컨텐츠 수요예측모형 개발)

  • Song, Min-Gu
    • Journal of Industrial Convergence
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    • v.20 no.4
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    • pp.31-37
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    • 2022
  • Research on what factors affect the success of the movie market is very important for reducing risks in related industries and developing the movie industry. In this study, in order to find out the degree of correlation of independent variables that affect movie performance, a survey was conducted on film experts using the AHP method and the importance of each measurement factor was evaluated. In addition, we hypothesized that factors derived from big data related to search portals and SNS will affect the success of movies due to the increase in the spread and use of smart phones. And a prediction model that reflects both the expert survey information and big data mentioned above was proposed. In order to check the accuracy of the prediction of the proposed model, it was confirmed that it was improved (10.5%) compared to the existing model as a result of verification with real data.Therefore, it is judged that the proposed model will be helpful in decision-making of film production companies and distributors.

Empirical Research on the Death of Foreign-invested Companies (외국인 투자기업의 사멸에 관한 실증연구)

  • Seong, Kil-Yong
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.692-700
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    • 2022
  • This study was conducted to analyze firms' death rate and impact factors on the death of Foreign-invested Companies in Korea which is between 20013 and 2017. Cox Proportional Hazard Model took to conduct on the death impact factors, such as 2 characteristics factors of the firm, and 4 financial characteristics variables, variables, and 4 profitability factors. As a result of the impact factors of Foreign-invested Companies' death the Labour(NE) variables of characteristics firm had negative effects. And the Debt(LB), Operating Profit (OP), and Sales Profit (SP) of the financial characteristics had a negative effect. Other factors did not produce significant results. As a result of an empirically comparative analysis of the mortality rate of foreign-invested companies by the Kaplan-Meier method, it was analyzed that fully owned companies and large enterprises had lower extinction risk and greater sustainable management potential than joint ventures or SMEs.

Business performance and earnings quality in the information and communication industry before and after the COVID-19 pandemic (코로나19 팬데믹 전·후 정보통신업의 경영성과와 이익의 질)

  • Park, Su-Gyeong
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.113-119
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    • 2021
  • This study compared business performance and earnings quality before and after the COVID-19 pandemic for information and communication companies whose sales increased due to the impact of the COVID-19 pandemic. For this, 4 indicators of ROA, growth potential, liquidity, and stability are used for business performance, and for earnings quality, the standard deviation of the residuals measured by the Dechow and Dichev(2002) model and Francis et al.(2005) model was used. As a result of the analysis, ROA, a representative business performance indicator, increased after xthe period compared to the period before the pandemic, but liquidity was rather deteriorated. As for the quality of earnings, it was confirmed that earnings sustainability is maintained in the post-pandemic period compared to the previous period, similar to ROA. Overall, the profit level and earnings quality of information and communications companies seemed to be improving, while liquidity was deteriorating. This confirms that companies that have overcome the immediate crisis are not ready to pay off their debts right away. Therefore, it suggests that companies need restructuring to reduce their increased debt from the time the COVID-19 subsides.

A Exploratory Analysis on Knowledge Structure of Untact Research (언택트 연구의 지식구조에 대한 탐색적 분석)

  • Kim, SeongMook;Cha, HyunHee
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.2
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    • pp.367-375
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    • 2021
  • This study aimed to identify the knowledge structure of researches on 'untact' and derived implications for directions for the studies using text mining. The study included network analysis and topic modelling of keywords and abstracts from 171 thesis published until October 2020. Centrality analysis showed that 'untact' studies had been focused on service, usage, consumption, technology and online. From the topic modelling, 6 topics such as 'COVID-19 and socio-technological change', 'needs and utilization of education contents', 'technology and service for user convenience', 'product marketing and sales', 'service design of the company', 'influence factors of usage and consumption' were extracted. Keywords that connect each topic were technology, service, usage, consumption, needs and factor. Exploratory analysis of 'untact' researches using text mining provides useful results for development of 'untact' studies.

Analysis of relative importance and priority of decision-making factors in accelerator selection of startups using AHP technique (AHP 기법을 이용한 스타트업의 액셀러레이터 선택 의사결정요인의 상대적 중요도와 우선순위 분석)

  • Bae, Sang-Wan;Lee, Dong-Myung
    • Journal of Digital Convergence
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    • v.20 no.2
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    • pp.127-140
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    • 2022
  • Recently, accelerators are attracting attention as a new startup incubator. This study empirically analyzed the relative importance and priority of decision-making factors when a startup selects an accelerator using the AHP technique. As a result, startup founders recognized the importance of decision-making factors in the order of funding factors, program factors, and accelerator characteristic factors. there was a difference in the relative importance of detailed factors between startup founders and accelerator workers, depending on the location of the business site and the presence or absence of sales performance. This suggests that accelerators need to strengthen the financial support capabilities and improve customized services to meet the needs of startups. This study can be used as a decision-making criterion when a startup selects an accelerator, and can be used as basic data for additional research on the accelerator program.

A Study on the Current Status and Directions in Development of Local Food Federation of Heterogeneous Cooperatives: In Case of Daegu & Gyeongbuk (로컬푸드 이종협동조합연합회의 실태와 발전방향 모색 - 대구경북을 사례로-)

  • Park, Chan-Soo;Heo, Deung-Yong
    • Korean Journal of Organic Agriculture
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    • v.30 no.2
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    • pp.129-149
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    • 2022
  • In March 2020, the National Assembly revised the Framework Act on Cooperatives, allowing a federation of heterogeneous cooperatives, and in October 2020, the Daegu Gyeongbuk Federation of Local Food Cooperatives was launched as the first federation of heterogeneous cooperatives in the country. The local food movement, which has been promoted upward in the local community as an alternative to the existing global food system, seems to be being activated by the government's food plan policy, but critics say that the government's policy goals are not fully achieved due to the top-down policy promotion and lack of communication. In response, this study first examines the role and significance of the local food federation of heterogeneous cooperatives in solving the problems raised in the process of establishing a food plan. In addition, the current status of the federation was investigated for the successful settlement and development of the Daegu Gyeongbuk Federation of Local Food Cooperatives. A survey of affiliated cooperatives, focus group interviews with managers and experts and related literature surveys were conducted. Based on this, the direction of activities was presented, such as the role of an intermediary in Daegu and Gyeongbuk and the role of an intermediary in the public and private sectors etc. In addition, six joint project tasks were specifically presented, including an integrated information sharing system & a logistics network, a planned production system & a joint processing center, an online sales system & a co-marketing promotion, a joint education system, a management of direct stores & restaurants, a sustainable public-private cooperation system etc.

Analysis on Factors Contributing to Motorcycle Accidents of Food Delivery Riders (플랫폼 기반 배달 이륜차 교통사고 영향요인 분석)

  • Lee, Sang Yun;Park, Jun Tae
    • Journal of the Korean Society of Safety
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    • v.37 no.1
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    • pp.70-77
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    • 2022
  • The total number of Korean restaurants using delivery applications has substantially increased from 7.6% in 2018 to 11.2% in 2019. In 2020, the gross sales in the food delivery service market reached approximately 17 trillion won; this amount is virtually six times that in 2017 (i.e., 2 trillion won). Meanwhile, the annual average death toll of motorcycle riders increased by 3.5%, whereas the number of deaths due to other traffic accidents decreased by 8.2%. Consequently, the foregoing has become a critical social problem. Despite the continuing increase in the number of delivery riders due to the rapid expansion of the delivery industry, no appropriate safety management system has been established. Moreover, the government is experiencing difficulties in assessing the exact situation because of the absence of competent authority. In this study, fundamental data on the characteristics of delivery work and motorcycle accidents were collected through surveys and interviews; then, the influencing factors of traffic accidents were analyzed. Different influencing factors were identified: work experience as a rider; number of deliveries; whether to accept delivery requests in transit; manner of accepting delivery requests; and traffic law violations, such as speeding (for faster delivery) and running a red light. Because the motorcycle delivery industry has a relatively low job-entry barrier (i.e., special qualifications are not required), the riding skills of riders must be improved, and delivery companies must be technically developed to achieve a safe working environment. The results of this study can be utilized as fundamental data for system development or structural improvement of the delivery industry.

A Study on Improvement of Pension Operation and Management using Big Data Analysis Techniques (빅데이터 분석기법을 활용한 숙박업체 운영 개선 방안에 대한 연구)

  • Yoon, Sunhee
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.815-821
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    • 2021
  • The advantage of big data is to collect a large amount of data on the Internet and refine and use valuable data. That is, the unstructured data is processed so that the user can analyze and utilize it from a necessary point of view. This paper is a relatively small project and is based on unstructured data that can be closely applied to real life and used for marketing. The subjects of the experiment were modeled on lodging companies in the Seoul metropolitan area an hour away from Seoul, and analyzed for the increase in lodging rates before and after marketing using big data. As an experiment that shows the effects of increasing sales, reducing costs, and increasing returns by users, we propose a system to determine and filter whether data input in the process of analyzing big data such as social networks can be used as accommodation-related information.

Human Resource Nurturing Algorithm Leading the Energy and Electric Element Technology of Electric Vehicles (전기자동차의 에너지 및 전기 요소기술을 선도하는 인력양성 알고리즘)

  • Yoon, Yongho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.1
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    • pp.181-186
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    • 2022
  • The world's electric automobile sector has shifted beyond technological environmental changes to a stage that has an impact on the market environment. And automakers are shifting from the existing strategy of "technological advantage → brand enhancement → sales expansion of existing internal combustion engine vehicles" to the expansion of the electric automobile market itself, which is to enhance market competitiveness. In addition, competition in the electric automotive parts market is expected to intensify due to the expansion of the business areas of existing parts makers and the entry of new companies, and development cooperation is expected to actively proceed to improve the efficiency of major eco-friendly parts. Along with this prospect, electric vehicles are expected to change the overall structure of the automobile industry, the overall growth of the electric vehicle value chain such as batteries, power trains (motors, power management and control systems), electric vehicle production, and charging infrastructure Is expected. Therefore, in this thesis, in order to cultivate a variety of high-quality human resources that companies want to keep pace with the changing automobile industry, we study a professional manpower training program that leads the growth engine of the electric automobile industry.