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  • 1
    Online Resource
    Online Resource
    LONGEVITY, RETIREMENT, AND CAPITAL ACCUMULATION IN A RECURSIVE MODEL WITH AN APPLICATION TO MANDATORY RETIREMENT
    Cambridge University Press (CUP) ; 2009
    In:  Macroeconomic Dynamics Vol. 13, No. 3 ( 2009-06), p. 327-348
    Details
    In: Macroeconomic Dynamics, Cambridge University Press (CUP), Vol. 13, No. 3 ( 2009-06), p. 327-348
    Abstract: This paper explores how retirement timing, together with life-cycle saving and human capital investment in children, responds to rising longevity in a recursive model with altruistic agents. We find that rising longevity raises the retirement age. If initial life expectancy is not too high, rising longevity also raises human capital investment in children and the saving rate. Through these channels, rising longevity can be conducive to long-run economic growth. A binding mandatory retirement age reduces human capital investment and the growth rate, raises the saving rate, and reduces welfare.
    Type of Medium: Online Resource
    ISSN: 1365-1005 , 1469-8056
    URL: Article
    DOI: 10.1017/S1365100508080073
    RVK:
    QA 10000
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2009
    detail.hit.zdb_id: 1501533-6
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  • 2
    Online Resource
    Online Resource
    Ecological trap in tourism-urbanization: Simulating the stagnation and restoration of urbanization from the perspective of government incentives
    Elsevier BV ; 2021
    In:  Ecological Economics Vol. 185 ( 2021-07), p. 107054-
    Details
    In: Ecological Economics, Elsevier BV, Vol. 185 ( 2021-07), p. 107054-
    Type of Medium: Online Resource
    ISSN: 0921-8009
    URL: Article
    DOI: 10.1016/j.ecolecon.2021.107054
    RVK:
    QA 10000
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 1002942-4
    detail.hit.zdb_id: 1500316-4
    SSG: 12
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  • 3
    Online Resource
    Online Resource
    Simulation and analysis of vehicle rear-end collision based on virtual proving ground technology
    International Information and Engineering Technology Association ; 2018
    In:  Journal Européen des Systèmes Automatisés Vol. 51, No. 1-3 ( 2018-06-28), p. 181-195
    Details
    In: Journal Européen des Systèmes Automatisés, International Information and Engineering Technology Association, Vol. 51, No. 1-3 ( 2018-06-28), p. 181-195
    Type of Medium: Online Resource
    ISSN: 1269-6935
    URL: Article
    DOI: 10.3166/jesa.51.181-195
    RVK:
    QA 10000
    Language: Unknown
    Publisher: International Information and Engineering Technology Association
    Publication Date: 2018
    detail.hit.zdb_id: 2390481-1
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  • 4
    Online Resource
    Online Resource
    Newsvendor model with voucher sales: a distributionally robust approach
    Wiley ; 2023
    In:  International Transactions in Operational Research
    Details
    In: International Transactions in Operational Research, Wiley
    Abstract: Vouchers as a popular short‐term marketing tool are widely used by many firms, through which retailers can lock in customers and obtain working capital in advance. Consumers can use the voucher to reduce the product purchase price to an equal face value or purchase the product at a discount. We apply the classical newsvendor model to study the merits of vouchers for the retailer's ordering decision in the face of uncertainties in both the market demand and voucher redemption rate. We propose a distributionally robust approach to solve this newsvendor problem. The approach only requires the first and second moments of the demand and redemption rate distributions and yields a lower bound on the expected profit. Specifically, we derive the optimal ordering decision in closed form and obtain the optimal expected profit based on the limited distribution information. We find that a higher redemption rate does not necessarily increase the retailer's profit and the voucher quantity, but always increases the retailer's order quantity. Interestingly, we show that when the buyback price of the voucher is relatively high, increasing the voucher redemption rate is more profitable for the retailer. In addition, the retailer's profit, and the quantities of the product and the voucher decrease with the buyback price of the voucher.
    Type of Medium: Online Resource
    ISSN: 0969-6016 , 1475-3995
    URL: Article
    DOI: 10.1111/itor.13253
    RVK:
    QA 10000
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2019815-2
    SSG: 3,2
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  • 5
    Online Resource
    Online Resource
    Design of Visual Communication Effect Evaluation Method of Artworks Based on Machine Learning
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-2-24), p. 1-10
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-2-24), p. 1-10
    Abstract: With the rapid development of computer and digital media technology, more and more visual artworks are created, preserved, and transmitted digitally, which has become an indispensable spiritual wealth in this era. However, the aesthetic evaluation of traditional visual artworks can only rely on artists or appreciation experts for qualitative description, and the results have great subjective uncertainty due to their different personal knowledge and experience. Therefore, computational aesthetics came into being, that is, using a computer model to assist in quantitative evaluation of visual artworks. These models have broad application prospects in the fields of aesthetic evaluation and correction, art style identification, and so on. Based on this, this paper proposes a design of visual communication effect evaluation method of artworks based on machine learning. First, some characteristic variables are constructed to quantify the balance, contrast, and harmony in icon design criteria, and these three common design criteria are transformed into a mathematical expression. Based on the powerful fitting, classification, and generalization capabilities of the SVM method, we choose it as our base model. Then, the artificial evaluation scores are regressed to the calculated characteristic variables to obtain the statistical linear regression models corresponding to the three design criteria. The experimental results show that the evaluation model and manual evaluation results can reach a significant correlation in the same dimension, which verifies the effectiveness of the model.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2022/4566185
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 6
    Online Resource
    Online Resource
    Deconstruction and Implementation of Strategic Human Resource Management Evaluation Algorithm Using Data Mining Technology
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-8-16), p. 1-11
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-8-16), p. 1-11
    Abstract: With the rapid development of information technology, especially the extensive use of databases, computer networks, and other fields, the amount of data held by enterprises is also growing rapidly. With the current shortage of human resources and the pressure of talent competition, the evaluation of human resource management in enterprises is particularly important. Creating measures to attract talents, innovating the understanding management system, formulating a standard talent evaluation system, avoiding the occurrence of improper employment accidents, rationally allocating the weight of human resources, and cultivating the loyalty of employees to the enterprise have become the challenges that more and more companies need to face. In response to the problems raised above, this paper conducts an in-depth excavation of strategic human resource management evaluation and uses in-depth excavation technology. Due to the huge amount of data in the human resource management system, data mining algorithms such as the ID3 algorithm, GBDT algorithm, and Bayesian network are proposed to classify and evaluate the data. Based on these data mining techniques, the strategic human resource management evaluation algorithm is researched and tested. First, the decision tree algorithm is used to build a decision tree for the educational background, identity, and other information of a company’s staff to classify the employees. The factor analysis test results show that after deleting a single similar factor, the variance contribution rate of each influencing human resource management evaluation has a certain increase. Employee engagement and organizational culture rose by 2 percent, while employee satisfaction, organizational learning, and organizational capability each rose by 1 percent. Therefore, data mining technology patient decision tree algorithm is effective for strategic human resource management evaluation.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2022/8890859
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 7
    Online Resource
    Online Resource
    Analyzing Brand Competition across Subcategories
    SAGE Publications ; 2004
    In:  Journal of Marketing Research Vol. 41, No. 4 ( 2004-11), p. 448-456
    Details
    In: Journal of Marketing Research, SAGE Publications, Vol. 41, No. 4 ( 2004-11), p. 448-456
    Abstract: The authors develop a sales model that can be used to assess cross-category price effects that are specific to individual items (stockkeeping units) from store-level sales data. Previous cross-category studies have typically assumed that the cross-category effects are the same across brands or items because the potential number of price effects to be estimated is large. The authors address this problem by decomposing the variability of cross-category price effects into two components: variability across items and across stores. They capture the variability across items by representing the item-level parameters as draws from distributions with category-level means. They account for variability across stores through a random-effects factor structure that represents the variation of within- and between-category price effects separately. The model is calibrated on weekly store sales data of items in three orange juice subcategories (refrigerated, frozen, and shelf-stable). The authors study competition between national brands and private labels across the subcategories, for which their model lends itself well. The results show asymmetrical price competition not only within but also across subcategories: the cross-subcategory impact of national brands on store brands appears to be substantially greater than that of store brands on national brands. In addition, the model supports the implementation of price zones at a more granular level than the current practice.
    Type of Medium: Online Resource
    ISSN: 0022-2437 , 1547-7193
    URL: Article
    DOI: 10.1509/jmkr.41.4.448.47017
    RVK:
    QA 10000
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2004
    detail.hit.zdb_id: 2066604-4
    detail.hit.zdb_id: 218319-5
    SSG: 3,2
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  • 8
    Online Resource
    Online Resource
    Sales Effects of Attention to Feature Advertisements: A Bayesian Mediation Analysis
    SAGE Publications ; 2009
    In:  Journal of Marketing Research Vol. 46, No. 5 ( 2009-10), p. 669-681
    Details
    In: Journal of Marketing Research, SAGE Publications, Vol. 46, No. 5 ( 2009-10), p. 669-681
    Abstract: There is much evidence that the presence of a feature advertisement can increase the sales and market share of the featured product. However, little is known about how feature ad characteristics (e.g., size, color, and location of the advertisement) affect the sales outcomes and how the effects take place. Prior research has predicted that feature advertisements lead to behavioral outcomes through their effect on consumers' attention. Building on this idea, the authors propose a Bayesian statistical model to study how feature ad characteristics affect sales of the featured products and the mediating role of attention in these relationships. They use data from eye-tracking tests of feature advertisements, aggregated and matched with sales data at the level of the feature advertisement. Their approach accounts for endogeneity in the key variables involved and overcomes limitations of standard mediation analyses. They show that the gaze duration on a feature advertisement affects sales of the featured product beyond the mere presence of the advertisement and that a standard mediation analysis that does not accommodate endogeneity produces biased estimates of the effects of feature ad characteristics on sales. Their proposed methodology is widely applicable to mediation analyses. The findings imply that attention data collected in lab tests can help marketers compare the relative sales outcomes of different feature ad designs and improve the effectiveness and efficiency of feature adverting decisions.
    Type of Medium: Online Resource
    ISSN: 0022-2437 , 1547-7193
    URL: Article
    DOI: 10.1509/jmkr.46.5.669
    RVK:
    QA 10000
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2009
    detail.hit.zdb_id: 2066604-4
    detail.hit.zdb_id: 218319-5
    SSG: 3,2
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  • 9
    Online Resource
    Online Resource
    The Effectiveness of Customized Promotions in Online and Offline Stores
    SAGE Publications ; 2009
    In:  Journal of Marketing Research Vol. 46, No. 2 ( 2009-04), p. 190-206
    Details
    In: Journal of Marketing Research, SAGE Publications, Vol. 46, No. 2 ( 2009-04), p. 190-206
    Abstract: This study investigates the effectiveness of customized promotions at three levels of granularity (mass market, segment specific, and individual specific) in online and offline stores. The authors conduct an empirical examination of the profit potential of these customized promotion programs with a joint model of purchase incidence, choice, and quantity and through optimization procedures for approximately 300 conditions. They find that (1) optimization procedures lead to substantial profit improvements over the current practice for all types of promotions (customized and undifferentiated); (2) loyalty promotions are more profitable in online stores than in offline stores, while the opposite holds for competitive promotions; (3) the incremental payoff of individual-level over segment- and mass market–level customized promotions is small in general, especially in offline stores; (4) for categories that are promotion sensitive, individual-level customized promotions can lead to a meaningful profit increase over segment- and mass market–level customized promotions in online stores; and (5) low redemption rates are a major impediment to the success of customized promotions in offline stores. Optimal undifferentiated promotions should be the primary promotion program in this channel, and firms can benefit from offering a combination of optimal undifferentiated and customized promotions for suitable categories in offline stores.
    Type of Medium: Online Resource
    ISSN: 0022-2437 , 1547-7193
    URL: Article
    DOI: 10.1509/jmkr.46.2.190
    RVK:
    QA 10000
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2009
    detail.hit.zdb_id: 2066604-4
    detail.hit.zdb_id: 218319-5
    SSG: 3,2
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  • 10
    Online Resource
    Online Resource
    The influence of street level bureaucracy on the implementation of Strategic Environmental Assessment
    Informa UK Limited ; 2015
    In:  Journal of Environmental Planning and Management Vol. 58, No. 4 ( 2015-04-03), p. 598-615
    Details
    In: Journal of Environmental Planning and Management, Informa UK Limited, Vol. 58, No. 4 ( 2015-04-03), p. 598-615
    Type of Medium: Online Resource
    ISSN: 0964-0568 , 1360-0559
    URL: Article
    DOI: 10.1080/09640568.2013.873711
    RVK:
    QA 10000
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2000921-5
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