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- Hou, Jiahe, et al.
(författare)
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Evaluating service quality of express logistics service based on online reviews using LDA-LSTM
- 2024
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Ingår i: JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING. - : KEAI PUBLISHING LTD. - 2096-2320. ; 9:3, s. 308-327
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Tidskriftsartikel (refereegranskat)abstract
- The quality of logistics services affects the performance and competitiveness of express logistics companies. Conventional evaluation methods of service quality are based on constructing a rating index system and then comprehensively evaluating the associated questionnaires and interviews. Such methods are often subjective, time-consuming, and include a limited sample size (data). On the other hand, customers' opinions concerning logistics services can now be deciphered using online customer reviews. Therefore, this study proposes a method combining the models of latent Dirichlet allocation and longshort term memory (LDA-LSTM) to overcome the limitations of conventional evaluation methods. The main contributions include four aspects. First, the LDA-LSTM model can extract comprehensive aspects and opinions to develop evaluation indexes and scores for logistics service quality, and the reviews of a logistics firm can be examined to verify the effectiveness of this method. Second, the LDA-LSTM model can handle a situation in which several aspects and opinions express one topic or sentiment, and it outperforms the joint sentiment topic model (JST) and naive Bayes classification (NB). Third, positive and negative ratings can reflect a firm's overall service quality, with an excellent rating highlighting the best service quality, which can provide a multi-dimensional evaluation. Fourth, we also identify the indicators of logistics service quality on which customers focus, and we compare the service quality among express enterprises in China. (c) 2024 China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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| 2. |
- Liu, Weihua, et al.
(författare)
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Effects of smart agricultural production investment announcements on shareholder value : Evidence from China
- 2022
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Ingår i: Journal of Management Science and Engineering. - China : KeAi Publishing Communications Ltd.. - 2096-2320. ; 7:3, s. 387-404
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Tidskriftsartikel (refereegranskat)abstract
- The advent of the era of the smart economy has made agricultural production more intelligent. An increasing number of companies have launched a series of investment activities aimed at smart agricultural production (SAP). However, whether smart agricultural production investment (SAPI) impacts the stock market has yet to be confirmed. Therefore, based on the sample data of 118 listed companies in China from 2010 to 2019, this study empirically examines the impact of SAPI announcements on shareholder value, as indicated by abnormal returns of stocks. Further, we tested the moderating effect of certain characteristic factors on abnormal stock returns. The research results illustrate a significant positive connection between SAPI announcements and shareholder value. Moreover, considering the announcement content and company factors, this study investigates the impacts of different investment targets and industries on the market reaction to SAPI announcements. We find that non-agricultural companies have a more positive market reaction to SAPI than agricultural companies; the higher the liability-asset ratio, the more positive will be the stock market reaction to SAPI.
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| 3. |
- Liu, Weihua, et al.
(författare)
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Smart logistics transformation collaboration between manufacturers and logistics service providers : A supply chain contracting perspective
- 2021
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Ingår i: Journal of Management Science and Engineering. - : Science Press. - 2096-2320. ; 6:1, s. 25-52
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Tidskriftsartikel (refereegranskat)abstract
- Intelligent transformation of manufacturers requires smart logistics transformation collaboration, which improves competitiveness. In this study, we construct a Stackelberg game model based on the mutual influence and restriction in the relationship between a manufacturer and a logistics service provider (LSP) undergoing smart logistics transformation. We investigate whether cost-sharing (CS) or revenue-sharing (RS) contracts can coordinate the supply chain and suggest a hybrid CS-RS contract to improve performance. We find that, compared with decentralized options, CS and RS contracts achieve a higher level of smart logistics transformation. While the coordination and effectiveness of CS contracts are superior to those of RS contracts, neither can fully coordinate the supply chain. The proposed hybrid CS-RS contract allows the manufacturer to share the LSPs costs before the transformation and its partial revenue after transformation, so that the LSP can reduce its service charge, thereby achieving full supply chain coordination. (c) 2021 China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
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| 4. |
- Wang, Gang-Jin, et al.
(författare)
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Portfolio optimization based on network centralities: Which centrality is better for asset selection during global crises?
- 2024
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Ingår i: JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING. - : KEAI PUBLISHING LTD. - 2096-2320. ; 9:3, s. 348-375
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Tidskriftsartikel (refereegranskat)abstract
- We construct correlation-based networks linking 86 assets (stock indices, bond indices, foreign exchange rates, commodity futures, and cryptocurrencies) and analyze the impact of asset selection on portfolio optimization using different centrality measures (including degree, eigenvector, eccentricity, betweenness, PageRank, and hybrid centralities). In times of a global crisis, peripheral assets located in cross-market networks are more suitable for investment. By comparing portfolio performance based on different centrality measures, we find that (i) hybrid, eigenvector, and PageRank centralities can best improve portfolio performance; (ii) degree centrality is suitable for larger portfolios; and (iii) eccentricity and betweenness centralities are unsuitable for network optimization portfolios. In response, we explain them based on the construction principle of centrality measures. Additionally, our optimal portfolios suggest that investors pay more attention to the role of emerging countries, which are less exposed to external shocks and whose financial markets are more likely to remain stable. (c) 2024 China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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