• Title/Summary/Keyword: product policy

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Determinants of Rural Tourism Demand (농촌관광수요의 결정요인)

  • Eun-Ho Son;Jung-Dae Goo
    • Journal of Agricultural Extension & Community Development
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    • v.30 no.1
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    • pp.43-52
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    • 2023
  • This study aims to examine the effects of GDP as a proxy variable of income, consumer price index as a proxy variable of price, and foot-and-mouth disease and avian influenza as derby variables on rural tourism demand. The independent variables in this research were gross domestic product(GDP), consumer price index(CPI), and dummy variable(DM) such as food & mouth disease & highly pathogenic avian influenza. Results showed that GDP affected tourism demand positively whereas DM influenced negatively. The study suggested that it was important for policy-mconsider GDP and DM when making decision on strategic tourism management. In conclusion, first, gross domestic product was found to have a statistically significant effect on rural tourism demand. Second, avian influenza was found to have a statistically negative effect on rural tourism demand. The results of this study can be used to establish a reasonable rural tourism policy in the future economic dimension.

Propensity to Innovate and Firm Performance in the Developing Economies: Evidence from ASEAN Countries

  • Duy Tran Luu;Truong Vinh Tran Luu
    • Asian Journal of Innovation and Policy
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    • v.12 no.2
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    • pp.155-176
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    • 2023
  • This paper employs datasets from the Enterprise Survey conducted by the World Bank to examine the relationship between four types of innovation defined by the Oslo Manual (OECD, 2005): product innovation, process innovation, marketing innovation, organization innovation, and the firm performance in the selected developing ASEAN economies. The main objective of this paper is to understand the characteristics of innovation activities at the firm level and how various innovation types affect firm performance. The empirical results from ASEAN manufacturing firms reveal that product innovation positively affects firms' performance, while non-technological innovations are negatively related to the performance of firms. The further employed quantile regression provides more insights into the roles of innovation types on different levels of firm performance: while product and process innovations actively contribute to the small and medium-size firms (below 25th quantile and median), organizational and marketing innovations negatively affect them. Interestingly, the role of process innovation decreases when firm performance grows.

SYNCHRONIZING INDIVIDUALLY OPTIMAL CYCLE TIMES ACROSS MULITI-BUYERS AND MULTI-PRODUCTS

  • Lee, Chang-Hwan
    • Management Science and Financial Engineering
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    • v.4 no.2
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    • pp.15-42
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    • 1998
  • A joint problem of order delivery, setup reduction, and cost-sharing in a two-echelon inventory system in which a vendor supplies multiple products to a group of buyers is studied here. The basic premise is that buyers have independently implemented setup reduction programs to acquire benefits from small order sizes. Doing so, however, causes the buyers' individually optimal order cycles to be differ from that of the vendor. In conjunction with this, two models are considered. In the first model, a multi-buyers single product situation is considered in which the vendor implements a joint supply cycle policy. However, buyers, as the dominant party, insist after implementing the individually optimal setup reduction that the vendor accept their individually optimal order schedules. In the second model. a multi-products, single buyer situation is considered in which the buyer implements a joint order policy. Here, the vendor, as the dominant party, refuses to cooperate fully with the buyer's individually reduced joint order schedule, and designs his own individually optimal setup reduction mix for each product under a given budget constraint. This led to a study of an integrated Setup Reduction/Break-even Pricing Policy for each situation to eliminate mismatches in individually optimal cycle times.

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Maintenance Policies Following the Expiration of Two-Dimensional Free Replacement Warranty (2차원 무료 보증이 종료된 이후의 보전정책)

  • Kim, Ho-Gyun
    • Journal of Applied Reliability
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    • v.15 no.1
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    • pp.6-11
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    • 2015
  • Maintenance plays an important role in keeping product availability, reliability and quality at an appropriate level. In this paper, two-types of maintenance policies are studied following the expiration of two-dimensional (2D) free replacement warranty. Both the fixed-maintenance-period policy and the variable-maintenance-period policy are based on a specified region of the warranty defined in terms of age and usage where all failures are minimally repaired. An accelerating failure time (AFT) model is used to allow for the effect of usage rate on product degradation. The maintenance model that arises following the expiration of 2D warranty is discussed. The expected cost rates per unit time from the user's point of view are formulated and the optimal maintenance policies are determined to minimize the expected cost rate to the user. Finally numerical examples are given to illustrate the optimal maintenance polices.

Exploration of Optimal Product Innovation Strategy Using Decision Tree Analysis: A Data-mining Approach

  • Cho, Insu
    • STI Policy Review
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    • v.8 no.2
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    • pp.75-93
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    • 2017
  • Recently, global competition in the manufacturing sector is driving firms in the manufacturing sector to conduct product innovation projects to maintain their competitive edge. The key points of product innovation projects are 1) what the purpose of the project is and 2) what expected results in the target market can be achieved by implementing the innovation. Therefore, this study focuses on the performance of innovation projects with a business viewpoint. In this respect, this study proposes the "achievement rate" of product innovation projects as a measurement of project performance. Then, this study finds the best strategies from various innovation activities to optimize the achievement rate of product innovation projects. There are three major innovation activities for the projects, including three types of R&D activities: Internal, joint and external R&D, and five types of non-R&D activities - acquisition of machines, equipment and software, purchasing external knowledge, job education and training, market research and design. This study applies decision tree modeling, a kind of data-mining methodology, to explore effective innovation activities. This study employs the data from the 'Korean Innovation Survey (KIS) 2014: Manufacturing Sector.' The KIS 2014 gathered information about innovation activities in the manufacturing sector over three years (2011-2013). This study gives some practical implication for managing the activities. First, innovation activities that increased the achievement rate of product diversification projects included a combination of market research, new product design, and job training. Second, our results show that a combination of internal R&D, job training and training, and market research increases the project achievement most for the replacement of outdated products. Third, new market creation or extension of market share indicates that launching replacement products and continuously upgrading products are most important.

Solution of the Product Safety and Reliability responsive to Product Liability Prevention (PL 예방을 위한 제품안전 및 신뢰성 제고 방안)

  • Kim Jin-Gyu
    • Proceedings of the Society of Korea Industrial and System Engineering Conference
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    • 2002.05a
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    • pp.31-36
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    • 2002
  • Product Liability(PL) is a legal policy to deal with global competition by improving domestic industrial competitive power and to reduce the cost of defect products. The purpose of this paper is to address the state of the art solutions to dispute on PL, in reality of a frequent occurrence of global product exchange focussing on product safety that is one of the most important functions of PL and to improve solution of the product safety and reliability responsive to PL. To minimize PL exposure, manufacturers should reflect comprehensive product safety and reliability concepts in establishing PL prevention policies. PL prevention policies are composed of administration system, product safety management system, and total quality management system in respect of prevention, safety, and defence.

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Guideline Construction through Case Study for Applying Crowdsourcing into New Product Development Environment (사례분석을 통한 신제품 개발 환경에서의 크라우드소싱 활용 가이드라인 구축)

  • Kim, Han Jung;Park, Joon Young
    • Journal of Korean Institute of Industrial Engineers
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    • v.39 no.6
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    • pp.517-534
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    • 2013
  • In this study, we propose the guideline with strategic model for new product development. To establish the guideline, 1) we classify several types of successful surveyed cases that achieved open innovation through applying crowdsourcing into new product development environment, 2) draw case maps using two or three axis with characteristics such as: step of product development process, crowdsourcing frequency, and product type of each case, 3) define the type of applying crowdsourcing into new product development environment based on case analysis results, and tabulate a crowdsourcing type based on the defined crowdsourcing type, 4) finally, suggest the guideline with multiple points of view which embrace type of crowd, community management, participation method, knowledge adoption method, and reward policy. Using the suggested guideline will help a company to design and establish open innovation in new business model related to product development area.

A sensitivity analysis on AS/RS storage policy with production quantity changes (AS/RS 저장정책의 생산량 변동에 대한 민감도분석)

  • Mun, Gee-Ju;Kim, Gwang-Pil;Ha, Joung-Jin;Lee, Byung-Ho
    • IE interfaces
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    • v.9 no.2
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    • pp.219-229
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    • 1996
  • Most studies on the operation policy for AS/RS concluded that the class-based storage policy has better performance than random storage policy does. However ASRS performances are examined only with the assumption of fixed production quantity in the studies. It is true that production quantity of each item changes frequently in practice. If an ASRS keeps the current storage policy regardless of production quantity variation, the performance of present storage policy will be worse. The effect of production quantity variation per product between 10 and 80% with random storage policy and class-based storage policy with reassignment and relocation are studied. The results are compared with both of the randomized and class-based storage policies without reassignment nor relocation cases. A typical ASRS system is developed using GPSS/PC for operation policy evaluation purposes.

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Towards an Innovation Policy in the Post Catch-Up Era

  • Hwang, Hye-Ran;Choung, Jae-Yong
    • Asian Journal of Innovation and Policy
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    • v.2 no.1
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    • pp.1-19
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    • 2013
  • As the catch-up innovation system was exposed to a new competition environment in which second-tier catch-up countries reduced the gap with Korea and advanced Korean firms entered into the frontier product market, it is experiencing system delay in terms of organizational and policy change. Therefore, innovation policy needs to be reorganized from a dynamic perspective to analyze the problems in the transition period and enable the system to overcome organizational and institutional delays. This article investigates the characteristics of transition periods in terms of external environment changes and internal socio-economic pressures. Based on the analysis of environment changes and catch-up system characteristics, it suggests the framework for policy intervention, direction, and practical principles for post catch-up innovation policy. In particular, it suggests the network-based developmental state and policy implementation in order to overcome the limitation of centralized developmental state of catch-up periods.

The Optimal Base-Stock Level in Assembly lines (조립 생산 시스템에서 최적 Base-Stock 수준)

  • Ko, Sung-Seok;Seo, Dong-Won
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.30 no.3
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    • pp.89-93
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    • 2007
  • In this study, we consider an assembly line operated under a base-stock policy. A product consists of two parts, and a finished product transfers to a warehouse in which demands are satisfied. Assume that demands arrive according to a Poisson process and processing times at each production line are exponentially distributed. Whenever a demand arrives, it is satisfied immediately from an inventory in the warehouse if available; otherwise, it is backlogged and satisfied later by the next product exiting from production lines. In either case, an arriving demand automatically triggers the production of a part at both production lines. These two parts will be assembled into a product that eventually transfers to the warehouse. We obtain a closed form formula of approximation for delay time or lead time distribution of a demand when a base- stock level is s. Moreover, it can be applied to the optimal base-stock level which minimizes the total inventory cost. Numerical examples are presented to show our optimal base-stock level's quality.