• Title/Summary/Keyword: Product Develop

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Development and Quality of Dried Cherry-Tomatoes (건조방울토마토 제조와 품질 특성)

  • 윤경영;김미현;이광희;신승렬
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.28 no.6
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    • pp.1283-1287
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    • 1999
  • This study was carried out to develop new processed food from cherry tomatoes. The dried cherry tomatoes were prepared by using a sequence of osmotic dehydration, air drying, vacuum drying and freeze drying. The moisture contents of dried cherry tomato products by nontreatment and osmosis treatment were about 11~13% and 7.5~ 10%, respectively. The vitamin C contents of the dried product after osmotic dehydration were higher than those of the dried products by nontreatment. The vitamin C content of the freezing dried product was the highest of the others. The vacuum dried product by nontreatment was retained color of fresh fruit in the change of color. The ΔE value of the air dried product was lower than those of the others. As a result to microscopic analysis, fresh cherry tomato was observed regular tissue, while cherry tomato treated by osmosis was observed a cell collapse following the loss of water. The dried product had cell shrinkage and dense tissue. And the cell wall of dried products after osmotic dehydration were much more damage than those of nontreatment dried product. The palatability of the air dried product was the best of three drying methods. The dried cherry tomatoes treated by osmosis were superior to the dried cherry tomatoes by nontreatment.

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Optimal Pricing Policy under Uncertain Product Lifetimes (불확실한 제품 수명주기를 고려한 최적가격결정 모형에 관한 연구)

  • 이훈영;주기인
    • Journal of the Korean Operations Research and Management Science Society
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    • v.25 no.2
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    • pp.23-31
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    • 2000
  • Many studies in marketing and economics have attempted to model price and sales path under the dynamic diffusion process. Most of these models have been based on a fixed product lifetime. The current business climate requiring intensive development of new products however affects the diffusion of new products and their lifetime. Many products have not enjoyed the expected life cycle at the launching stage due to intense technical development competitive reactions, and financial problems. Most diffusion models however have not taken account of the lifetime uncertainty of new product. If the products do not last over the planning horizon set by those models. the optimal price derived from them could be futile. Therefore we had better take such lifetime uncertainty into consideration when developing diffusion models, In this paper we study the impact of uncertain product lifetime on its optimal pricing path in non-competitive market. We develop an optimal pricing model under uncertain product lifetimes and conduct a simulation study to investigate their effects on the optimal pricing and corresponding sales paths. The simulation study provides some interesting findings on optimal pricing policy under uncertain product lifetime. This study could be a stepping stone for the further extended study of optimal pricing strategy with uncertain product lifetime.

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Consumption Value, Consumer Innovativeness and New Product Adoption: Empirical Evidence from Vietnam

  • DU, Chung Thi;NGO, Thu Thi;TRAN, Thi Van;NGUYEN, Ngoc Bich Tram
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.1275-1286
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    • 2021
  • The purpose of this study is to employ the theory of consumption value and consumers' innovative personality characteristics to explain the adoption of new personal electronics devices in Vietnamese market. This study adapts a quantitative survey-based approach to test hypotheses about relationship between consumption value, product specific innovativeness and new product adoption. The study uses a quantitative data set of 915 consumers who owned one mobile electronic device at least in Ho Chi Minh city, one of the biggest cities of Vietnam. The data was collected through personal interview and convenient sampling method. The conceptual model was tested using PLS structural equation model. The findings of this study suggest that both consumption value and product specific innovativeness influence the adoption of new electronic products. The results also reveal that product specific innovativeness mediates the relationship between consumption value and new product adoption. The study further identified that consumption value was taken as a second-order multidimensions construct with five components, namely functional value, epistemic value, economic value, social value and emotional value. As a result, the research suggests some implications to enhance marketers' capabilities to develop strategies for launching new hi-tech products in an emerging market as Vietnam.

Product Adoption Maximization Leveraging Social Influence and User Interest Mining

  • Ji, Ping;Huang, Hui;Liu, Xueliang;Hu, Xueyou
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.6
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    • pp.2069-2085
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    • 2021
  • A Social Networking Service (SNS) platform provides digital footprints to discover users' interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users' relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users' interest and social influence, where the user interest model relies on historical user behavior and the seed users' evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users' past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.

Antecedents to Consumer Satisfaction with Laundry Detergents and Fabric Softeners in Thailand: A SEM Analysis

  • CHEEWAPATTANANUKUL, Nawin;SAENGNOREE, Amnuay;DEEBHIJARN, Samart
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.8
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    • pp.157-167
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    • 2022
  • The global laundry detergents market in 2021 was valued at nearly $121 billion, with consumers being reported as heightening their search for hygienic products capable of fighting viruses. Therefore, the researchers undertook a study to determine how product innovation (PI), product quality (PQ), and product attitude (PA) effects Thai consumers' satisfaction (CS) with their purchase of laundry detergent and fabric softener. After the questionnaire's validity and reliability confirmation, the authors used multi-stage random sampling by region and province in January and February 2022 to collect 520 questionnaires. LISREL 9.10 was used in the CFA and SEM analysis of the six hypotheses, which were determined to be supported. The results showed that all three causal variables positively influenced CS, with a total effect (TE) R2 value = 87%. Also, latent variable total effect (TE) values showed that PI was strongest (0.93), then PQ (0.56), and finally, PA (0.54). Therefore, consumer satisfaction is essential in a firm's ongoing development and sustainability in a highly competitive, globalized world. Organizations must develop competitive strategies that adjust to consumer needs. Management must monitor online and social media sources where product reviews are given and adjust their strategies accordingly.

Effect of Consumer Characteristics on Intention to Use Product Reviews to Make Online Purchasing Decisions (소비자의 특성이 온라인 상품평 활용의도에 미치는 영향)

  • Park, Yoon-Joo
    • Journal of Information Technology Services
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    • v.16 no.2
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    • pp.21-32
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    • 2017
  • This study analyzes the variable consumer characteristics that influence the intention to use online product reviews. In online e-commerce, where purchases take place without consumers seeing the products in person, the product reviews left by other consumers who have already purchased the product are believed to be valuable information. However, when different consumers read the same product review, their responses to it may vary. This study analyzes the characteristics of consumers who utilize product reviews for their purchases. Consumer characteristics are categorized into personal information, personality, purchasing tendency, and experience related to product reviews. These factors are examined to see if they have direct or indirect effects on a consumer's intention to use product reviews when making online purchases. We surveyed a total of 240 consumers who had experience using e-commerce and knew about online product reviews. Once the data was collected, path analysis was conducted using the statistics tool AMOS. The study results reveal that consumers who are female, extroverted, and have higher price sensitivity think that product reviews left by others are useful, and that this "perceived usefulness" has a positive effect on the intention to use product reviews for making online purchasing decisions. In addition, consumers who are agreeable to others, have high brand sensitivity, and who have left numerous reviews themselves demonstrated the tendency to trust reviews left by others more. Thus, we conclude that this "perceived reliability" makes it more likely that a consumer will use product reviews when making online purchasing decisions. Future research can be done to develop this study further by analyzing whether providing online product reviews corresponding to the personal characteristics of consumers enhances the effect of product reviews on online purchasing decisions.

Improvement Strategy According to the Change of Hotel Environment

  • Lim, Heon-Wook;Seo, Dae-Sung
    • International Journal of Advanced Culture Technology
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    • v.9 no.2
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    • pp.72-79
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    • 2021
  • This study is to develop a strategy to prepare an improvement strategy according to the environmental change of the hotel. Currently, domestic hotels are implementing marketing through food and beverage as a countermeasure against the sales decrease, and in order to develop effective marketing plan, 5 Force Model environmental analysis and STP analysis are analyzed. 5 Force Model Environmental Analysis showed that domestic hotels are facing various difficulties such as the expansion of accommodation sharing system, the decrease of Chinese tourists due to the THAAD problem, the increase of hotels, the introduction of PMS, the increase of minimum wage, the introduction of 52 hours work week, and the increase in product preference As an STP response strategy to correspond these difficulties, it is necessary to develop products for the main customers of the hotel food and beverage, such as those in the 20s-30s, the workers, smartphones and SNS users. And also hotels should seek ways to lower price of the product to the level desired by the user to compete against substitutes. In conclusion we suggest that hotels are committed to fulfilling their role by meeting guest safety and COVID-19 compliance requirements, but a focus on immediate cleanliness and quarantine against infectious diseases, like Airbnb, will enable greater growth.

Product Family Design based on Analytic Network Process (Analytic Network Process에 기초한 제품가족 디자인)

  • Kim, Tai-Oun
    • Journal of Intelligence and Information Systems
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    • v.17 no.4
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    • pp.1-17
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    • 2011
  • In order to maintain customer satisfaction and to remain productive and efficient in today's global competition, mass customization is adopted in many leading companies. Mass customization through product family and product platform enables companies to develop new products with flexibility, efficiency and quick responsiveness. Thus, product family strategy based on product platform is well suited to realize the mass customization. Product family is defined as a group of related products that share common features, components, and subsystems; and satisfy a variety of market niches. The objective is to propose a product family design strategy that provides priority weights among product components by satisfying customer requirements. The decision making process for a new product development requires a multiple criteria decision making technique with feedback. An analytical network process is adopted for the decision making modeling and procedure. For the implementation, a netbook product known as a small PC which is appropriate for the product family model is adopted. According to the proposed architecture, the priority weight of each component for each product family is derived. The relationship between the customer requirement and product component is analyzed and evaluated using QFD model.

Formal Definition and Consistency Analysis of Feature-Oriented Product Line Analysis Model (특성 지향의 제품계열분석 모델의 정형적 정의와 일관성 분석)

  • Lee Kwanwoo
    • Journal of KIISE:Software and Applications
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    • v.32 no.2
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    • pp.119-127
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    • 2005
  • Product line analysis is an activity for analyzing requirements, their relationships, and constraints in a product line before engineering product line assets (e.g., architectures and components). A feature-oriented commonality and variability analysis (called feature modeling) has been considered an essential part of product line analysis. Commonality and variability analysis, although critical, is not sufficient to develop reusable and adaptable product line assets. Dependencies among features and feature binding time also have significant influences on the design of product line assets. In this paper. we propose a feature-oriented product line analysis model that extends the existing feature model in terms of three aspects (i.e., feature commonality and variability, feature dependency, and feature binding time). To validate the consistency among the three aspects we formally define the feature-oriented product line analysis model and provide rules for checking consistency.

A Study on the Construction of Curriculum Content for Training Assistive Product Specialist (복지용구 전문가 양성을 위한 교육과정 내용구성에 관한 연구)

  • Cho, Mi-Lim
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.12
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    • pp.441-450
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    • 2018
  • The purpose of this study is to develop curriculum contents for assistive product specialists and to prepare professional standards for said curriculum. First, after identifying and targeting employees in the assistive product center, hospital and medical facilities staff, users of the assistive product, and instructors for the assistive product, the task importance and education required for each duty of the assistive product specialist were examined. Based on a demand analysis, the subjects(plan) for assistive product specialist was drawn and then the curriculum(plan) was developed. Regarding the developed subjects(plan) and curriculum(plan), a Delphi method was conducted with five professional panels to verify the validity. Finally, a curriculum(plan) for assistive product specialist was developed to include a total of 21 courses(17 compulsory courses, 4 elective courses) totaling 44 hours (36 hours for compulsory courses, 8 hours for elective courses). The construction of systematic content for of assistive product specialist curriculum for qualitative training of assistive product specialists is important. Through this study, it will now be possible to secure professionalism and qualitative improvements in curriculum for assistive product specialists.