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Dr. Kin Keung Lai
Shenzhen University, Shenzhen, 518060, China.

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0 optmization
0 supply chain management,
0 Financial engineering,
0 Computational science,
0 Healthcare Management,

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supply chain management,
Financial engineering,

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Original research
Published: 24 July 2021 in Annals of Operations Research
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The complex and changeable external pressures such as government regulations and consumer demand bring challenges to emissions abatement in supply chain. For the asymmetric information between manufacturer and consumer caused by the hidden low-carbon preference and the various carbon policies, this research, based on principal-agent model, constructs three models including the benchmark model without carbon policy, the abatement contract models with single abatement mechanism and multiple abatement mechanism, designs the abatement contract and the single and multiple abatement mechanisms, aiming to improve abatement efficiency and realize low emissions of supply chain. We find that information rent caused by asymmetric information between manufacturer and consumer is the main impact factor of reducing abatement efficiency of supply chain, and the purpose of the abatement contract is that there is not the motivation for consumer to falsely report preference information and accurate consumer demand is obtained by manufacturer. Additionally, although single abatement mechanism can promote manufacturer to reduce emissions, the extra cost caused by carbon tax leads to negative utility to manufacturer. Multiple abatement mechanism can reduce the negative effect of single abatement mechanism on manufacturer and make it obtain more revenue. The research provides a reference for manufacturer in supply chain how to cooperate with government and consumer who possess private information.

ACS Style

Jian Li; Kin Keung Lai. The abatement contract for low-carbon demand in supply chain with single and multiple abatement mechanism under asymmetric information. Annals of Operations Research 2021, 1 -23.

AMA Style

Jian Li, Kin Keung Lai. The abatement contract for low-carbon demand in supply chain with single and multiple abatement mechanism under asymmetric information. Annals of Operations Research. 2021; ():1-23.

Chicago/Turabian Style

Jian Li; Kin Keung Lai. 2021. "The abatement contract for low-carbon demand in supply chain with single and multiple abatement mechanism under asymmetric information." Annals of Operations Research , no. : 1-23.

Original research
Published: 26 June 2021 in Annals of Operations Research
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This paper studies the impact of bilateral participation strategy on the dynamic emission-reducing behaviors and associated performance of low-carbon supply chains using differential game models. We first consider a dyadic supply chain comprising one supplier and one manufacturer in the base model and derive the equilibrium solutions of dynamic emission abatement in decentralized and centralized systems, respectively. In the decentralized supply chain, we consider both unilateral sharing and bilateral participation contracts and examine the feedback equilibrium strategies and trajectories of emission abatement of all parties. By comparison, we find that the bilateral contract leads to lower emission abatement and higher profits of all players and the system than that under unilateral sharing contract. Meanwhile, we show that the properly-designed bilateral participation contract can coordinate the decentralized dyadic supply chain. By extending the base model, we further figure out the equilibria and optimal trajectories for the dynamic cooperative emission abatement and the associated mechanism design in a supply chain with two competing suppliers and one manufacturer. Interestingly, we find that the bilateral participation contract can also coordinate the competing channels with competitive or complementary components at the upstream level. We uncover that the bilateral participation contract is effective in coordinating supply chains with dynamic cooperative emission abatement since it can overcome the disadvantage of uneven distribution of emission-reducing capability endowments among chain members. Finally, we also conduct computational and sensitivity analyses to illustrate the previous results. These findings provide potential implications for firms’ dynamic cooperation in emission abatement.

ACS Style

Longfei He; Baiyun Yuan; Junsong Bian; Kin Keung Lai. Differential game theoretic analysis of the dynamic emission abatement in low-carbon supply chains. Annals of Operations Research 2021, 1 -39.

AMA Style

Longfei He, Baiyun Yuan, Junsong Bian, Kin Keung Lai. Differential game theoretic analysis of the dynamic emission abatement in low-carbon supply chains. Annals of Operations Research. 2021; ():1-39.

Chicago/Turabian Style

Longfei He; Baiyun Yuan; Junsong Bian; Kin Keung Lai. 2021. "Differential game theoretic analysis of the dynamic emission abatement in low-carbon supply chains." Annals of Operations Research , no. : 1-39.

Short communication
Published: 17 May 2021 in Operations Research Letters
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This paper considers a firm's salesforce contracting problem under model uncertainty. Based on the notion of multiplier preferences, we capture model uncertainty and explicitly characterize the structure of the optimal contract. Our findings provide guidelines on the design of salesforce compensation contracts in practical situations.

ACS Style

Jianru Zhang; Yi Li; Ju'e Guo; Kin Keung Lai. Salesforce contracting under model uncertainty. Operations Research Letters 2021, 49, 496 -500.

AMA Style

Jianru Zhang, Yi Li, Ju'e Guo, Kin Keung Lai. Salesforce contracting under model uncertainty. Operations Research Letters. 2021; 49 (4):496-500.

Chicago/Turabian Style

Jianru Zhang; Yi Li; Ju'e Guo; Kin Keung Lai. 2021. "Salesforce contracting under model uncertainty." Operations Research Letters 49, no. 4: 496-500.

Journal article
Published: 17 February 2021 in Journal of Inequalities and Applications
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In this paper, we consider the semidifferentiable case of an interval-valued minimization problem and establish sufficient optimality conditions and Wolfe type as well as Mond–Weir type duality theorems under semilocal E-preinvex functions. Furthermore, we present saddle-point optimality criteria to relate an optimal solution of the semidifferentiable interval-valued programming problem and a saddle point of the Lagrangian function.

ACS Style

Kin Keung Lai; Avanish Shahi; Shashi Kant Mishra. On semidifferentiable interval-valued programming problems. Journal of Inequalities and Applications 2021, 2021, 1 -18.

AMA Style

Kin Keung Lai, Avanish Shahi, Shashi Kant Mishra. On semidifferentiable interval-valued programming problems. Journal of Inequalities and Applications. 2021; 2021 (1):1-18.

Chicago/Turabian Style

Kin Keung Lai; Avanish Shahi; Shashi Kant Mishra. 2021. "On semidifferentiable interval-valued programming problems." Journal of Inequalities and Applications 2021, no. 1: 1-18.

Journal article
Published: 14 February 2021 in European Journal of Operational Research
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Errors may occur in the information received by a manufacturer from the retailer. There are two types of information errors: transmission error that occurs in the transmission of information from the retailer to the manufacturer, and source error that occurs in the data observed by the retailer. This paper studies the value of information sharing in the presence of either or both types of information errors. In particular, when information is shared, the manufacturer may use both the shared demand information and the retailer's order quantity to make decisions, or it may rely solely on the shared demand information and disregard the retailer's order quantity when forecasting demand for the future. We analyze the values of information sharing for both settings, and characterize the lowest forecast error information sharing strategy for the manufacturer. Our results suggest that transmission error and source error have significantly different impacts on the value of information sharing and the manufacturer's optimal strategy.

ACS Style

Jizhou Lu; Gengzhong Feng; Stephen Shum; Kin Keung Lai. On the value of information sharing in the presence of information errors. European Journal of Operational Research 2021, 294, 1139 -1152.

AMA Style

Jizhou Lu, Gengzhong Feng, Stephen Shum, Kin Keung Lai. On the value of information sharing in the presence of information errors. European Journal of Operational Research. 2021; 294 (3):1139-1152.

Chicago/Turabian Style

Jizhou Lu; Gengzhong Feng; Stephen Shum; Kin Keung Lai. 2021. "On the value of information sharing in the presence of information errors." European Journal of Operational Research 294, no. 3: 1139-1152.

Journal article
Published: 05 February 2021 in Energy Economics
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Developed by the World Economic Forum in collaboration with Accenture, the Energy Architecture Performance Index (EAPI) looks at trends and the real performance of countries' energy systems, and provides the latest available global energy data, aiding policy formation by offering a reliable indicator of strengths and target areas for improvement. In the framework of EAPI, this paper proposes to measure national energy architecture performance by developing a group decision making (GDM) method with preference structure and acceptability analysis. Specifically, an individual decision maker is identified as a specific judgement on the importance sequence among economic growth and development (EGD), environmental sustainability (ES) and energy access and security (EAS). By means of taking all possible such judgements into account, we therefore formulate a preliminary group decision matrix for further investigation. Then, both preferential differences denoting the preference degrees among different countries, and preferential priorities denoting the favorite ranking of the countries, are extensively investigated to present a revised group decision matrix. Lastly, the Stochastic Multicriteria Acceptability Analysis for group decision-making (SMAA-2) is employed to construct the holistic acceptability indices for each country, which are thus reasonably considered the country-wide evaluation results. A satisfaction index is created to justify the merits of our GDM method, along with the calculation of the Spearman's rank correlation coefficients. An empirical study using the EAPI 2017 of 19 G20 countries is conducted to illustrate the implementation of the proposed GDM method.

ACS Style

Yelin Fu; Kin Keung Lai; Lean Yu. Multi-nation comparisons of energy architecture performance: A group decision-making method with preference structure and acceptability analysis. Energy Economics 2021, 96, 105139 .

AMA Style

Yelin Fu, Kin Keung Lai, Lean Yu. Multi-nation comparisons of energy architecture performance: A group decision-making method with preference structure and acceptability analysis. Energy Economics. 2021; 96 ():105139.

Chicago/Turabian Style

Yelin Fu; Kin Keung Lai; Lean Yu. 2021. "Multi-nation comparisons of energy architecture performance: A group decision-making method with preference structure and acceptability analysis." Energy Economics 96, no. : 105139.

Research article
Published: 11 January 2021 in Science Progress
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Emergency events such as natural disasters, environmental events, sudden illness, and social security events pose tremendous threats to people’s lives and property security. In order to meet emergency service demands by rationally allocating mobile facilities, an emergency mobile facility routing model is proposed to maximize the total served demand by the available mobile facilities. Based on the uninterruptible feature of emergency services, the model abstracts emergency events act as a combination of multiple uncertain variables. To overcome the computational difficulty, a robust optimization approach and genetic algorithm are employed to obtain solutions. Illustrative examples show that it provides an effective method for solving the emergency mobile facility routing problem, and that the risk factor and penalty factor of the model can further guide decision-making.

ACS Style

Jianxun Li; Kin Keung Lai; Yelin Fu; Hai Shen. Robust optimization approach to emergency mobile facility routing. Science Progress 2021, 104, 1 .

AMA Style

Jianxun Li, Kin Keung Lai, Yelin Fu, Hai Shen. Robust optimization approach to emergency mobile facility routing. Science Progress. 2021; 104 (1):1.

Chicago/Turabian Style

Jianxun Li; Kin Keung Lai; Yelin Fu; Hai Shen. 2021. "Robust optimization approach to emergency mobile facility routing." Science Progress 104, no. 1: 1.

Article
Published: 01 December 2020 in Journal of Systems Science and Complexity
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The Global Entrepreneurship and Development Institute annually publishes the Global Entrepreneurship Index (GEI) to show entrepreneurship of each country/area. The GEI is obtained by averaging the scores of three sub-indexes, entrepreneurial attitudes, entrepreneurial abilities and Entrepreneurial aspirations. However, this GEI construction method with equal weights for three subindexes may be controversial, since the relative importance among the three sub-indexes may vary across countries and areas due to economic and social/cultural reasons. This study comprehensively considers all possible weights, and formulates an interval entrepreneurship evaluation matrix. Employing the Stochastic multicriteria acceptability analysis, the authors build an improved GEI, which the authors term the Holistic Acceptability Global Entrepreneurship Index. This method differs from the conventional wisdom that assigns exact values to corresponding weights, but explores a weight space considering all possible weight sets. Finally, the proposed method is confirmed using an empirical study measuring and comparing the entrepreneurship of the top 20 countries and areas in terms of 2017 GEI.

ACS Style

Lianlian Song; Kin Keung Lai; Kwok Fai Geoffrey Tso; Jerome Yen. Entrepreneurship Measurement and Comparison: Holistic Acceptability Global Entrepreneurship Index. Journal of Systems Science and Complexity 2020, 33, 1959 -1979.

AMA Style

Lianlian Song, Kin Keung Lai, Kwok Fai Geoffrey Tso, Jerome Yen. Entrepreneurship Measurement and Comparison: Holistic Acceptability Global Entrepreneurship Index. Journal of Systems Science and Complexity. 2020; 33 (6):1959-1979.

Chicago/Turabian Style

Lianlian Song; Kin Keung Lai; Kwok Fai Geoffrey Tso; Jerome Yen. 2020. "Entrepreneurship Measurement and Comparison: Holistic Acceptability Global Entrepreneurship Index." Journal of Systems Science and Complexity 33, no. 6: 1959-1979.

Methodologies and application
Published: 31 October 2020 in Soft Computing
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To address the drawback of single machine learning prediction model which cannot capture the complex hidden factors of crude oil price, ensemble learning method has been widely verified as an excellent solution for crude oil price forecasting. In ensemble learning, diversity strategy is one of the most important determinants to obtain good performance. So, this study introduced the promisingly efficient and fast RVFL network as base models to the framework of ensemble learning and explored diversity strategies in the proposed RVFL network ensemble forecasting model to obtain good performance. Specifically, the impacts of five different strategies including data quantity diversity, sampling interval diversity, parameter diversity, ensemble number diversity and ensemble method diversity on the performance of RVFL network ensemble learning have been examined and analyzed. Experimental results found that the accuracy of ensemble learning models would be increased if diversity strategies were carefully selected. Moreover, the proposed multistage nonlinear RVFL network ensemble forecasting model was consistently better than that of single RVFL network model in terms of the same measurements.

ACS Style

Lean Yu; Yao Wu; Ling Tang; Hang Yin; Kin Keung Lai. Investigation of diversity strategies in RVFL network ensemble learning for crude oil price forecasting. Soft Computing 2020, 25, 3609 -3622.

AMA Style

Lean Yu, Yao Wu, Ling Tang, Hang Yin, Kin Keung Lai. Investigation of diversity strategies in RVFL network ensemble learning for crude oil price forecasting. Soft Computing. 2020; 25 (5):3609-3622.

Chicago/Turabian Style

Lean Yu; Yao Wu; Ling Tang; Hang Yin; Kin Keung Lai. 2020. "Investigation of diversity strategies in RVFL network ensemble learning for crude oil price forecasting." Soft Computing 25, no. 5: 3609-3622.

Research article
Published: 08 October 2020 in Emerging Markets Finance and Trade
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Missing data has become an increasingly serious problem in credit risk classification. A one-hot encoding-based data preprocessing method is proposed to solve the missing data problem in credit classification. In this paradigm, the proposed missing-data preprocessing method is first used to deal with missing values to fill in the incomplete dataset. Then the classification and regression tree (CART) model is applied on the completed dataset to measure performances of different preprocessing methods. The experimental results indicate that the proposed one-hot encoding method performs the best when the missing rate is high. When missing rate is low, random sample (RS) imputation method performs better though it entails a greater computational cost than other imputation methods listed in this study. In particular, for high-missing-rate coupled with data-imbalance issue, the proposed one-hot encoding based imputation method shows not only high accuracy, but also great robustness and needs less of computational time.

ACS Style

Lean Yu; Rongtian Zhou; Rongda Chen; Kin Keung Lai. Missing Data Preprocessing in Credit Classification: One-Hot Encoding or Imputation? Emerging Markets Finance and Trade 2020, 1 -11.

AMA Style

Lean Yu, Rongtian Zhou, Rongda Chen, Kin Keung Lai. Missing Data Preprocessing in Credit Classification: One-Hot Encoding or Imputation? Emerging Markets Finance and Trade. 2020; ():1-11.

Chicago/Turabian Style

Lean Yu; Rongtian Zhou; Rongda Chen; Kin Keung Lai. 2020. "Missing Data Preprocessing in Credit Classification: One-Hot Encoding or Imputation?" Emerging Markets Finance and Trade , no. : 1-11.

Journal article
Published: 05 October 2020 in International Journal of Environmental Research and Public Health
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Using Fishbein’s multi-attribute model, this paper proposes that the impact of socio-demographic and psychosocial factors on local residents’ overall attitude toward shale gas exploitation (SGE) is mediated by their risk and benefit perceptions. The proposition has been validated with the generalized structural equation modeling approach with a cross-sectional dataset of 825 residents from China’s Fuling shale gas field. Results indicate that the influence of benefit perception on residents’ overall attitude outweighs that of risk perception. Moreover, residents’ perceived fairness, affective feeling, and trust in regulatory agencies have positive influences on their overall attitude, primarily via their risk and benefit perceptions, in decreasing order of influences. Finally, we also find that residents’ attitudes have been significantly influenced by their socio-demographic factors, including age, residential area, and political ideology. Thus, our study extends the literature with theoretical and empirical models by exploring the influences factors of local residents’ attitudes toward SGE, and results from our empirical survey provide insight into policy design to promote the acceptance of SGE.

ACS Style

Liuyang Yao; Qian Zhang; Kin Keung Lai; Xianyu Cao. Explaining Local Residents’ Attitudes toward Shale Gas Exploitation: The Mediating Roles of Risk and Benefit Perceptions. International Journal of Environmental Research and Public Health 2020, 17, 7268 .

AMA Style

Liuyang Yao, Qian Zhang, Kin Keung Lai, Xianyu Cao. Explaining Local Residents’ Attitudes toward Shale Gas Exploitation: The Mediating Roles of Risk and Benefit Perceptions. International Journal of Environmental Research and Public Health. 2020; 17 (19):7268.

Chicago/Turabian Style

Liuyang Yao; Qian Zhang; Kin Keung Lai; Xianyu Cao. 2020. "Explaining Local Residents’ Attitudes toward Shale Gas Exploitation: The Mediating Roles of Risk and Benefit Perceptions." International Journal of Environmental Research and Public Health 17, no. 19: 7268.

Original research
Published: 08 September 2020 in Journal of Applied Mathematics and Computing
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A limited memory q-BFGS (Broyden–Fletcher–Goldfarb–Shanno) method is presented for solving unconstrained optimization problems. It is derived from a modified BFGS-type update using q-derivative (quantum derivative). The use of Jackson’s derivative is an effective mechanism for escaping from local minima. The q-gradient method is complemented to generate the parameter q for computing the step length in such a way that the search process gradually shifts from global in the beginning to almost local search in the end. Further, the global convergence is established under Armijo-Wolfe conditions even if the objective function is not convex. The numerical experiments show that proposed method is potentially efficient.

ACS Style

Kin Keung Lai; Shashi Kant Mishra; Geetanjali Panda; Suvra Kanti Chakraborty; Mohammad Esmael Samei; Bhagwat Ram. A limited memory q-BFGS algorithm for unconstrained optimization problems. Journal of Applied Mathematics and Computing 2020, 66, 183 -202.

AMA Style

Kin Keung Lai, Shashi Kant Mishra, Geetanjali Panda, Suvra Kanti Chakraborty, Mohammad Esmael Samei, Bhagwat Ram. A limited memory q-BFGS algorithm for unconstrained optimization problems. Journal of Applied Mathematics and Computing. 2020; 66 (1-2):183-202.

Chicago/Turabian Style

Kin Keung Lai; Shashi Kant Mishra; Geetanjali Panda; Suvra Kanti Chakraborty; Mohammad Esmael Samei; Bhagwat Ram. 2020. "A limited memory q-BFGS algorithm for unconstrained optimization problems." Journal of Applied Mathematics and Computing 66, no. 1-2: 183-202.

Research article
Published: 18 August 2020 in PLOS ONE
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Many countries and international organisations have been developing health system performance assessment frameworks and indicators to support healthcare management and inform public health policy. Effectiveness, accessibility, safety and patient-centeredness were four dimensions that were most commonly measured. This paper develops a new consensus-based decision model to assess the health systems, in which different stakeholders of healthcare systems are identified by different decision approaches, i.e., the coefficient variation approach, the Shannon entropy approach and the distance-based approach, respectively. The consensus result is obtained by minimizing the total deviation from the ideal point. A numerical illustration with simulated data is presented to show the effectiveness of our model.

ACS Style

Yang Xu; Kin Keung Lai; W. K. J. Leung. A consensus-based decision model for assessing the health systems. PLOS ONE 2020, 15, e0237892 .

AMA Style

Yang Xu, Kin Keung Lai, W. K. J. Leung. A consensus-based decision model for assessing the health systems. PLOS ONE. 2020; 15 (8):e0237892.

Chicago/Turabian Style

Yang Xu; Kin Keung Lai; W. K. J. Leung. 2020. "A consensus-based decision model for assessing the health systems." PLOS ONE 15, no. 8: e0237892.

Research article
Published: 17 August 2020 in International Journal of Finance & Economics
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The prediction of underlying price continues to draw extensive attention in academic research. Based on a review of the advantages and disadvantages of different volatility models, we find that the Heston stochastic volatility model with an adaptive correlation coefficient is most suitable for analysing the Hong Kong options market. We subsequently propose a model‐free implied volatility term structure formulated using options with different strikes and different maturities. The implied volatility is calculated by integrating the option price and strike price from the current time to the expiry date. Discrete points of term structure data are used to fit a term structure curve. Finally, we use the model‐free implied volatility term structure as the long‐run mean level of the Heston model to fully exploit the information content contained in the implied volatility term structure. We simulate the distribution of the underlying asset price based on the Heston model and constant elasticity of variance (CEV) model. The adaptive correlation Heston model provides superior results in terms of one‐day‐ahead prediction performance and the 79‐day distribution of the underlying asset price compared with the CEV model.

ACS Style

Jiangze Du; Shaojie Lai; Kin Keung Lai; Shifei Zhou. A novel term structure stochastic model with adaptive correlation for trend analysis. International Journal of Finance & Economics 2020, 1 .

AMA Style

Jiangze Du, Shaojie Lai, Kin Keung Lai, Shifei Zhou. A novel term structure stochastic model with adaptive correlation for trend analysis. International Journal of Finance & Economics. 2020; ():1.

Chicago/Turabian Style

Jiangze Du; Shaojie Lai; Kin Keung Lai; Shifei Zhou. 2020. "A novel term structure stochastic model with adaptive correlation for trend analysis." International Journal of Finance & Economics , no. : 1.

Journal article
Published: 03 August 2020 in Mathematics
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In this paper, we propose a new framework of a financial early warning system through combining the unconstrained distributed lag model (DLM) and widely used financial distress prediction models such as the logistic model and the support vector machine (SVM) for the purpose of improving the performance of an early warning system for listed companies in China. We introduce simultaneously the 3~5-period-lagged financial ratios and macroeconomic factors in the consecutive time windows t-3, t-4 and t-5 to the prediction models; thus, the influence of the early continued changes within and outside the company on its financial condition is detected. Further, by introducing lasso penalty into the logistic-distributed lag and SVM-distributed lag frameworks, we implement feature selection and exclude the potentially redundant factors, considering that an original long list of accounting ratios is used in the financial distress prediction context. We conduct a series of comparison analyses to test the predicting performance of the models proposed by this study. The results show that our models outperform logistic, SVM, decision tree and neural network (NN) models in a single time window, which implies that the models incorporating indicator data in multiple time windows convey more information in terms of financial distress prediction when compared with the existing singe time window models.

ACS Style

Dawen Yan; Guotai Chi; Kin Keung Lai. Financial Distress Prediction and Feature Selection in Multiple Periods by Lassoing Unconstrained Distributed Lag Non-linear Models. Mathematics 2020, 8, 1275 .

AMA Style

Dawen Yan, Guotai Chi, Kin Keung Lai. Financial Distress Prediction and Feature Selection in Multiple Periods by Lassoing Unconstrained Distributed Lag Non-linear Models. Mathematics. 2020; 8 (8):1275.

Chicago/Turabian Style

Dawen Yan; Guotai Chi; Kin Keung Lai. 2020. "Financial Distress Prediction and Feature Selection in Multiple Periods by Lassoing Unconstrained Distributed Lag Non-linear Models." Mathematics 8, no. 8: 1275.

Journal article
Published: 05 July 2020 in REICE: Revista Electrónica de Investigación en Ciencias Económicas
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The family business background expects us to start to scrutinize these understood presumptions and, along these lines, raise possibilities for future studies to make essential commitments. In sum, we can learn a great deal about the process of possibilities identification and refinement by exploring social interactions in the family business context and thereby make essential contributions to theory. We can also learn a great deal about the transformations of the family and the business by exploring the identification and refinement of possibilities. Although scholars have highlighted the importance of relational and family factors for the sustainability of a family business, there is not much empirical research exploring how emotions and the management of emotions play a role in the interpersonal dynamics of family business owners. The purpose of this paper is to explore how the way family members manage their emotions affects the interpersonal dynamics in the family, business, and ownership subsystems of a family business. The results indicate that the capability that family members have to manage their emotions influences the interpersonal dynamics that take place in the family business at the individual and group level. In this case, the paper found that although perceived emotion (PE) affected interpersonal relationships in business, this effect was based on the individual’s willingness to use their PE capabilities, the previous history between people, and the goals individuals have within each subsystem in a family business. The paper also found that interpersonal dynamics, in turn, influence how family members work together.

ACS Style

Mohammad Heydari; Zhou Xiaohu; Mahdiye Saeidi; Kin Keung Lai; Zheng Yuxi. Entrepreneurship Process As The Creation Of Business By Engaging Family Members: Based On The Perceived Emotion. REICE: Revista Electrónica de Investigación en Ciencias Económicas 2020, 8, 210 -241.

AMA Style

Mohammad Heydari, Zhou Xiaohu, Mahdiye Saeidi, Kin Keung Lai, Zheng Yuxi. Entrepreneurship Process As The Creation Of Business By Engaging Family Members: Based On The Perceived Emotion. REICE: Revista Electrónica de Investigación en Ciencias Económicas. 2020; 8 (15):210-241.

Chicago/Turabian Style

Mohammad Heydari; Zhou Xiaohu; Mahdiye Saeidi; Kin Keung Lai; Zheng Yuxi. 2020. "Entrepreneurship Process As The Creation Of Business By Engaging Family Members: Based On The Perceived Emotion." REICE: Revista Electrónica de Investigación en Ciencias Económicas 8, no. 15: 210-241.

Journal article
Published: 23 June 2020 in European Journal of Translational Myology
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The eyes are extremely important for communication. The muscles around the eyes express emotional states, and the size of the pupil signals whether a person is aroused and alert or bored and fatigued. Pupil size is an overlooked social signal, yet is readily picked up by observers. Observers mirror their pupil sizes in response, which can influence social impressions. Pupil diameter is enhanced in a variety of emotional contexts, including viewing pictures, listening to sounds, and during the threat of shock. This study shows that people associate positive faces with large pupil sizes and negative faces with small pupil sizes. Although workplace social support has been described as a profoundly emotional activity, little is known about the emotional demands faced by employees or how these impacts on their well-being. This study examined relationships between ‘emotional labor,’ burnout (emotional exhaustion, depersonalization, and personal accomplishment), and job satisfaction in a sample of an employee who works in the banking sector or manufacturing sector. Also examined was whether workplace social support moderated any relationships found between emotional labor and strain. The relationship between job experience and emotional labor was also investigated.

ACS Style

Mohammad Heydari; Zhou XiaoHu; Mahdiye Saeidi; Kin Keung Lai; Yufan Shang; Zheng Yuxi. Analysis of the role of social support - cognitive psychology and emotional process approach. European Journal of Translational Myology 2020, 30, 8975 .

AMA Style

Mohammad Heydari, Zhou XiaoHu, Mahdiye Saeidi, Kin Keung Lai, Yufan Shang, Zheng Yuxi. Analysis of the role of social support - cognitive psychology and emotional process approach. European Journal of Translational Myology. 2020; 30 (3):8975.

Chicago/Turabian Style

Mohammad Heydari; Zhou XiaoHu; Mahdiye Saeidi; Kin Keung Lai; Yufan Shang; Zheng Yuxi. 2020. "Analysis of the role of social support - cognitive psychology and emotional process approach." European Journal of Translational Myology 30, no. 3: 8975.

Original paper
Published: 08 June 2020 in Operational Research
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Consider the portfolio liquidation problem in which a risk-neutral investor unwinds a large portfolio because of urgent liquidity issues. To measure market liquidity, both permanent and temporary cross-price impacts on trading are taken into consideration. First of all, we formulate this problem as a non-convex optimization problem with some constraints. Then we characterize the structural properties of the optimal liquidation strategies. We find that the investor prefers to sell more liquid assets which have lower permanent and temporary price impacts. In addition, we show that the investor likes to sell more of the assets that have a higher initial price. Finally, we develop a genetic algorithm to obtain the optimal solution for the above problem, and we also illustrate the efficiency of the algorithm. Policy implications of this paper are about how to liquidate a large portfolio in response to difficult economic conditions.

ACS Style

Yi Li; Ju’E Guo; Kin Keung Lai; Jinzhao Shi. Optimal portfolio liquidation with cross-price impacts on trading. Operational Research 2020, 1 -20.

AMA Style

Yi Li, Ju’E Guo, Kin Keung Lai, Jinzhao Shi. Optimal portfolio liquidation with cross-price impacts on trading. Operational Research. 2020; ():1-20.

Chicago/Turabian Style

Yi Li; Ju’E Guo; Kin Keung Lai; Jinzhao Shi. 2020. "Optimal portfolio liquidation with cross-price impacts on trading." Operational Research , no. : 1-20.

Journal article
Published: 19 May 2020 in Discrete Dynamics in Nature and Society
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We provide a technical assessment and critique of the existing literature via highlighting problems associated with conceptualization and technical improvement of agility practices. By presenting a narrative evaluation of the technical review, we underscore the nature of the SC hazard in addition to agility practices and furnish a synthesis for future studies. The purpose is to examine the relationship between identifying and ranking the elements affecting supply management for SC agility in compressed natural gas pressure vessels. This study is applied research and data are collected based on descriptive survey. The populace of the investigation is milled compressed natural gas pressure vessels. Survey data are amassed through interviews and questionnaires. Cronbach’s alpha has been utilized to evaluate the reliability of the values received 0.778, which shows that the questionnaire is of excellent reliability and the questionnaire has 27 questions. Also, because the volume of the statistical population is 270 people, the consequences show that there is a positive connection among the empowerment of SC agility. Driving agility is on a positive supply chain (SC) agility. The expense has a poagilitysitive impact on SC agility.

ACS Style

Mohammad Heydari; Kin Keung Lai. A Study on Risk and Expense Evaluation of Agility Supply Management of Machinery. Discrete Dynamics in Nature and Society 2020, 2020, 1 -19.

AMA Style

Mohammad Heydari, Kin Keung Lai. A Study on Risk and Expense Evaluation of Agility Supply Management of Machinery. Discrete Dynamics in Nature and Society. 2020; 2020 ():1-19.

Chicago/Turabian Style

Mohammad Heydari; Kin Keung Lai. 2020. "A Study on Risk and Expense Evaluation of Agility Supply Management of Machinery." Discrete Dynamics in Nature and Society 2020, no. : 1-19.

Journal article
Published: 15 May 2020 in Complexity
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Based on the principal-agent theory, we give a theoretical interpretation on evolution of the complex partnerships between the online SCF (supply chain finance) providers in China. First, we describe the principal-agent relationships and analyze the optimal profit-sharing contracts between the banks and the B2B platforms. Then, from a dual perspective of leadership transfer and absolute benefit change, we explain the behavioral choices of the banks in the cooperation. Results show that, at the initial stage of growth of the platforms’ abilities to rate online borrowers, the leadership and the absolute benefit of the banks will suffer a “double decline,” which explains why the leading banks in China “divorced” the B2B platforms during 2011 to 2013. However, as the platforms’ rating abilities grow to “maturity,” the absolute benefit of the banks will finally exceed its original level, and then the rational banks would cooperate with the platforms again even at the expense of losing a portion of their leadership, which answers why the banks in China have come back to “remarry” the B2B platforms since 2014.

ACS Style

Jinzhao Shi; Ju’E Guo; Qiang Du; Libiao Bai; Bai Libiao; Wenjun Yan; Kin Keung Lai. Evolution of the Complex Partnerships between Banks and B2B e-Trading Platforms: A Theoretical Interpretation from the Chinese Market. Complexity 2020, 2020, 1 -14.

AMA Style

Jinzhao Shi, Ju’E Guo, Qiang Du, Libiao Bai, Bai Libiao, Wenjun Yan, Kin Keung Lai. Evolution of the Complex Partnerships between Banks and B2B e-Trading Platforms: A Theoretical Interpretation from the Chinese Market. Complexity. 2020; 2020 ():1-14.

Chicago/Turabian Style

Jinzhao Shi; Ju’E Guo; Qiang Du; Libiao Bai; Bai Libiao; Wenjun Yan; Kin Keung Lai. 2020. "Evolution of the Complex Partnerships between Banks and B2B e-Trading Platforms: A Theoretical Interpretation from the Chinese Market." Complexity 2020, no. : 1-14.