LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 164

Search options

  1. Article ; Online: Monte Carlo Simulation of the Effect of Heterogeneous Too-Cheap Prices on the Average Price Preference for Remanufactured Products

    Minjung Kwak

    Sustainability, Vol 13, Iss 9498, p

    2021  Volume 9498

    Abstract: A prevailing assumption in research on remanufactured products is “the cheaper, the better”. Customers prefer prices that are as low as possible. Customer price preference is modeled as a linear function with the minimal price at customers’ willingness ... ...

    Abstract A prevailing assumption in research on remanufactured products is “the cheaper, the better”. Customers prefer prices that are as low as possible. Customer price preference is modeled as a linear function with the minimal price at customers’ willingness to pay (WTP), which is assumed to be homogeneous and constant in the market. However, this linearity assumption is being challenged, as recent empirical studies have testified to customer heterogeneity in price perception and demonstrated the existence of too-cheap prices (TC). This study is the first attempt to investigate the validity of the linearity assumption for remanufactured products. A Monte Carlo simulation was conducted to estimate how the average market preference changes with the price of the remanufactured product when TC and WTP are heterogeneous across individual customers. Survey data from a previous study were used to fit and model the distributions of TC and WTP. Results show that a linear or monotonically decreasing relationship between price and customer preference may not hold for remanufactured products. With heterogeneous TC and WTP, the average price preference revealed an inverted U shape with a peak between the TC and WTP, independent of product type and individual customers’ preference function form. This implies that a bell-shaped or triangular function may serve as a better alternative than a linear function can when modeling market-price preference in remanufacturing research.
    Keywords remanufacturing ; customer preference ; pricing and production planning ; circular economy ; sustainable production and consumption ; Monte Carlo simulation ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 330
    Language English
    Publishing date 2021-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  2. Article ; Online: Optimal Line Design of New and Remanufactured Products

    Minjung Kwak

    Sustainability, Vol 10, Iss 11, p

    A Model for Maximum Profit and Market Share with Environmental Consideration

    2018  Volume 4283

    Abstract: For original equipment manufacturers (OEMs), producing a line of new and remanufactured products can be an effective strategy for improving the sustainability of their business. The potential cannibalization of new product sales and the technological ... ...

    Abstract For original equipment manufacturers (OEMs), producing a line of new and remanufactured products can be an effective strategy for improving the sustainability of their business. The potential cannibalization of new product sales and the technological obsolescence of used products, however, can create barriers for OEMs to embrace remanufacturing. In order to address these challenges in OEM remanufacturing, this paper proposes a mixed-integer programming model for the optimal line design of new and remanufactured products. Aiming at two objectives, i.e., maximizing the total profit and maximizing the total market share, the model simultaneously optimizes a line of new and remanufactured products in terms of their (1) design specifications (including an upgrade plan for the remanufactured product), (2) selling prices, and (3) production quantities and the detailed production plan. With the simultaneous optimization, the model suggests an optimal way of differentiating the new and remanufactured products in order to overcome the cannibalization and obsolescence effects and to maximize the total profit and/or market share. The model also accounts for environmental impact, stipulating that the total environmental impact of manufacturing remains under a certain limit. To demonstrate the applicability and effectiveness of the model, a case study is presented using the example of a desktop computer.
    Keywords remanufacturing ; product line ; closed-loop supply chain ; design for X ; end-of-life recovery ; optimal product design ; modular design ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 670
    Language English
    Publishing date 2018-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  3. Article ; Online: Evaluating the circularity and multi-lifecycle green profit of product family design

    Kang, Sora / Hong, Yoo Suk / Kwak, Minjung

    Resources, Conservation & Recycling. 2023 Oct., v. 197 p.107106-

    2023  

    Abstract: As sustainability and circularity are emerging as the new normal for business, manufacturers have attempted to apply recovery strategies such as reuse, remanufacturing, and recycling to product family design to generate higher profits and mitigate the ... ...

    Abstract As sustainability and circularity are emerging as the new normal for business, manufacturers have attempted to apply recovery strategies such as reuse, remanufacturing, and recycling to product family design to generate higher profits and mitigate the environmental impact. Compared to single-product design, product family design involves developing sharing decisions in which components and operations are common across product variants. However, existing approaches have not clearly explained the multi-lifecycle effects of sharing decisions. This paper proposes an evaluation model that quantifies the multi-lifecycle economic profit and environmental impact of a product family design. A bi-objective optimization model with economic and environmental objectives is developed to assess the effects of sharing over multiple lifecycles. The evaluation results provide a broader understanding of the multi-lifecycle effect of component and operation sharing and the trade-off between economic profit and environmental impact. This study considers a smartphone family design case to validate the proposed model.
    Keywords environmental impact ; mobile telephones ; models ; Product family design ; Circular economy ; Remanufacturing ; Design for lifecycle ; Design optimization ; Green design
    Language English
    Dates of publication 2023-10
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 1498716-8
    ISSN 0921-3449
    ISSN 0921-3449
    DOI 10.1016/j.resconrec.2023.107106
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  4. Article: Optimal Line Design of New and Remanufactured Products: A Model for Maximum Profit and Market Share with Environmental Consideration

    Kwak, Minjung

    Sustainability. 2018 Nov. 19, v. 10, no. 11

    2018  

    Abstract: For original equipment manufacturers (OEMs), producing a line of new and remanufactured products can be an effective strategy for improving the sustainability of their business. The potential cannibalization of new product sales and the technological ... ...

    Abstract For original equipment manufacturers (OEMs), producing a line of new and remanufactured products can be an effective strategy for improving the sustainability of their business. The potential cannibalization of new product sales and the technological obsolescence of used products, however, can create barriers for OEMs to embrace remanufacturing. In order to address these challenges in OEM remanufacturing, this paper proposes a mixed-integer programming model for the optimal line design of new and remanufactured products. Aiming at two objectives, i.e., maximizing the total profit and maximizing the total market share, the model simultaneously optimizes a line of new and remanufactured products in terms of their (1) design specifications (including an upgrade plan for the remanufactured product), (2) selling prices, and (3) production quantities and the detailed production plan. With the simultaneous optimization, the model suggests an optimal way of differentiating the new and remanufactured products in order to overcome the cannibalization and obsolescence effects and to maximize the total profit and/or market share. The model also accounts for environmental impact, stipulating that the total environmental impact of manufacturing remains under a certain limit. To demonstrate the applicability and effectiveness of the model, a case study is presented using the example of a desktop computer.
    Keywords case studies ; computers ; environmental impact ; equipment ; manufacturing ; market prices ; market share ; models ; sales
    Language English
    Dates of publication 2018-1119
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2518383-7
    ISSN 2071-1050
    ISSN 2071-1050
    DOI 10.3390/su10114283
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  5. Article ; Online: Consumer Valuation of Remanufactured Products

    Seoyoon Lee / Minjung Kwak

    Sustainability, Vol 12, Iss 7581, p

    A Comparative Study of Product Categories and Business Models

    2020  Volume 7581

    Abstract: Understanding consumer valuation of remanufactured products is vital to the success of the remanufacturing business. However, whether and how product categories and business models influence the consumer valuation have not been investigated in detail. To ...

    Abstract Understanding consumer valuation of remanufactured products is vital to the success of the remanufacturing business. However, whether and how product categories and business models influence the consumer valuation have not been investigated in detail. To test the effects of product categories and business models on the consumer valuation and acceptance of remanufactured products empirically, this study presents a survey on the relative value of remanufactured products perceived by the consumers. Six product categories (low-end laptops, high-end laptops, smartphones, gaming consoles, printers, and water purifiers) and two business models (the buying model and the rental model) were selected as the factors. Negative perception (NP), purchase intention (PI), and acceptable prices (APs) were used as measures of the perceived value. A group of 95 students from a Korean university participated in the survey. Statistical hypothesis testing shows that both the product categories and the business models cause significant differences in the relative value of remanufactured products. Especially, the results indicate that certain product categories are more advantageous for remanufacturing from a consumer-demand viewpoint. The results also show that the suitability of the rental model varies across the product categories; for certain categories, the rental model can be a better option for remanufacturing.
    Keywords remanufacturing ; consumer valuation ; consumer perception ; purchase intention ; acceptable price ; price sensitivity meter ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 330
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  6. Article ; Online: Investigating psychological and motivational predictors of problematic smartphone use among Smartphone-based Social Networking Service (SNS) users.

    Kwak, Min-Jung / Kim, Dai-Jin

    Addictive behaviors reports

    2023  Volume 18, Page(s) 100506

    Abstract: Given that the active use of certain smartphone applications is associate with problematic smartphone use, it has been proposed that certain smartphone applications are more addictive than others, such as Social Networking Services (SNS). Still, studies ... ...

    Abstract Given that the active use of certain smartphone applications is associate with problematic smartphone use, it has been proposed that certain smartphone applications are more addictive than others, such as Social Networking Services (SNS). Still, studies that consider smartphone users' main usage application which are known to influence the users' problematic smartphone use, such as SNS, remain to be explored. Thus, the current study aims to investigate the psychological and motivational predictors of problematic smartphone use in a sample of smartphone-based SNS users whose main device usage is SNS. A series of mean comparison tests and binary logistic regression were performed in this study. Of the 433 smartphone-based SNS users, 218 were male (50.3%) and 215 were female (49.7%). Age of 433 participants ranged from 20 to 40, and mean age was 30.75 (SD = 7.84). 73 participants (16.9%) were sorted into the high-risk problematic smartphone use group and 360 participants (83.1%) were categorized as the normal user group. The finding from binary regression analysis showed that reward responsiveness from the Behavioral Activation System (BAS), a lack of self-control, and anxiety significantly increased the odds of problematic smartphone use of the smartphone-based SNS users. Reward responsiveness was found to be the most powerful predictor. Our findings broaden the existing literature and provide implications to reduce addictive smartphone use relating to smartphone-based SNS usage.
    Language English
    Publishing date 2023-06-21
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2831558-3
    ISSN 2352-8532 ; 2352-8532
    ISSN (online) 2352-8532
    ISSN 2352-8532
    DOI 10.1016/j.abrep.2023.100506
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: pH-sensitive cellulose/chitin nanofibrillar hydrogel for dye pollutant removal.

    Jung, Seungoh / Kim, Jungkyu / Bang, Junsik / Jung, Minjung / Park, Sangwoo / Yun, Heecheol / Kwak, Hyo Won

    Carbohydrate polymers

    2023  Volume 317, Page(s) 121090

    Abstract: In this study, a pH-sensitive smart hydrogel was successfully prepared by combining a polyelectrolyte complex using biopolymeric nanofibrils. By adding a green citric acid cross-linking agent to the formed chitin and cellulose-derived nanofibrillar ... ...

    Abstract In this study, a pH-sensitive smart hydrogel was successfully prepared by combining a polyelectrolyte complex using biopolymeric nanofibrils. By adding a green citric acid cross-linking agent to the formed chitin and cellulose-derived nanofibrillar polyelectrolytic complex, a hydrogel with excellent structural stability could be prepared even in a water environment, and all processes were conducted in an aqueous system. The prepared biopolymeric nanofibrillar hydrogel not only enables rapid conversion of swelling degree and surface charge according to pH but can also effectively remove ionic contaminants. The ionic dye removal capacity was 372.0 mg/g for anionic AO and 140.5 mg/g for cationic MB. The surface charge conversion ability according to pH could be easily applied to the desorption of the removed contaminants, and as a result, it showed an excellent contaminant removal efficiency of 95.1 % or more even in the repeated reuse process 5 times. Overall, the eco-friendly biopolymeric nanofibrillar pH-sensitive hydrogel shows potential for complex wastewater treatment and long-term use.
    Language English
    Publishing date 2023-06-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 1501516-6
    ISSN 1879-1344 ; 0144-8617
    ISSN (online) 1879-1344
    ISSN 0144-8617
    DOI 10.1016/j.carbpol.2023.121090
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article: Clustering of longitudinal interval-valued data via mixture distribution under covariance separability.

    Park, Seongoh / Lim, Johan / Choi, Hyejeong / Kwak, Minjung

    Journal of applied statistics

    2019  Volume 47, Issue 10, Page(s) 1739–1756

    Abstract: We consider the clustering of repeatedly measured 'min-max' type interval-valued data. We read the data as matrix variate data and assume the covariance matrix is separable for the model-based clustering (M-clustering). The use of a separable covariance ... ...

    Abstract We consider the clustering of repeatedly measured 'min-max' type interval-valued data. We read the data as matrix variate data and assume the covariance matrix is separable for the model-based clustering (M-clustering). The use of a separable covariance matrix introduces several advantages in M-clustering, which include fewer samples required for a valid procedure. In addition, the numerical study shows that this structured matrix allows us to find the correct number of clusters more accurately compared to other commonly assumed covariance matrices. We apply the M-clustering with various covariance structures to clustering the longitudinal blood pressure data from the National Heart, Lung, and Blood Institute Growth and Health Study (NGHS).
    Language English
    Publishing date 2019-11-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476802-1
    ISSN 1360-0532 ; 0266-4763
    ISSN (online) 1360-0532
    ISSN 0266-4763
    DOI 10.1080/02664763.2019.1692795
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Optimal two-stage log-rank test for randomized phase II clinical trials.

    Kwak, Minjung / Jung, Sin-Ho

    Journal of biopharmaceutical statistics

    2017  Volume 27, Issue 4, Page(s) 639–658

    Abstract: Randomized controlled clinical trials are conducted to determine whether a new treatment is safe and efficacious compared to a standard therapy. We consider randomized clinical trials with right censored time to event endpoint, called survival time here. ...

    Abstract Randomized controlled clinical trials are conducted to determine whether a new treatment is safe and efficacious compared to a standard therapy. We consider randomized clinical trials with right censored time to event endpoint, called survival time here. The two-sample log-rank test is popularly used to test if the experimental therapy has a longer survival distribution than the control therapy or not. We consider an early stopping for futility only or for both futility and efficacy. For planning such clinical trials, this article presents two-stage designs that are optimal in the sense that either the maximal sample size or the expected sample size when the experimental therapy is futile or superior is minimized under the given type I and II error rates. Optimal designs for a range of design parameters are tabulated and evaluated using simulations.
    Language English
    Publishing date 2017
    Publishing country England
    Document type Journal Article
    ZDB-ID 1131763-2
    ISSN 1520-5711 ; 1054-3406
    ISSN (online) 1520-5711
    ISSN 1054-3406
    DOI 10.1080/10543406.2016.1167073
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Effect of Area-Level Deprivation on Cancer Survival Time: A Register-Based Follow-up Study of 145 585 Korean Subjects.

    Kwak, Minjung / Kim, Changhoon

    Asia-Pacific journal of public health

    2017  Volume 30, Issue 1, Page(s) 19–28

    Abstract: Our goal is to evaluate the strengths of the associations between area-level deprivation and survival time for a variety of cancers. A total of 145 585 subjects were diagnosed with various cancers in Busan, Korea, and an area-level deprivation index ... ...

    Abstract Our goal is to evaluate the strengths of the associations between area-level deprivation and survival time for a variety of cancers. A total of 145 585 subjects were diagnosed with various cancers in Busan, Korea, and an area-level deprivation index constructed from several important socioeconomic variables. A multilevel Cox model was used in the analysis to investigate the effects of multiple risk factors. After adjusting for gender and age, an increased area-level deprivation index was found to be significantly associated with a higher hazard rate for major cancers. Estimated hazard ratios (95% confidence interval) were 1.08 (1.06, 1.11), 1.15 (1.13, 1.18), and 1.22 (1.18, 1.25) for the second, third, and fourth quartiles of deprivation index groups, respectively, when compared with the least deprived group. When compared with the least deprived group, the more deprived group showed significant decrease in survival time for major cancers. This finding highlights the importance of preventive and care services incorporating socioeconomic characteristics of areas.
    MeSH term(s) Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; Female ; Follow-Up Studies ; Health Status Disparities ; Humans ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Neoplasms/mortality ; Poverty Areas ; Proportional Hazards Models ; Registries ; Republic of Korea/epidemiology ; Risk Factors ; Socioeconomic Factors ; Survival Analysis ; Young Adult
    Language English
    Publishing date 2017-12-07
    Publishing country China
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1025444-4
    ISSN 1941-2479 ; 1010-5395
    ISSN (online) 1941-2479
    ISSN 1010-5395
    DOI 10.1177/1010539517746043
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top