Shi-Woei Lin's research while affiliated with National Taiwan University of Science and Technology and other places

Publications (37)

Article
Full-text available
The problem of missing data is frequently met in time series analysis. If not appropriately addressed, it usually leads to failed modeling and distorted forecasting. To deal with high market uncertainty, companies need a reliable and sustainable forecasting mechanism. In this article, two propositions are presented: (1) a dedicated time series fore...
Article
Full-text available
While the dependence assumption among the components is naturally important in evaluating the reliability of a system, studies investigating the issues of aggregation errors in Bayesian reliability analyses have been focused mainly on systems with independent components. This study developed a copula-based Bayesian reliability model to formulate de...
Article
Full-text available
Purpose This study investigated the direct and indirect effects of socioeconomic status (SES) on the survival time of cancer patients by using cancer stage to create a pathway from SES to health outcomes and facilitate a mechanistic inference. Methods Both a traditional mediation analysis and a counterfactual event-based mediation analysis were ap...
Article
Full-text available
Recent literature demonstrates that warehouse order picking performance is reflected in the logistics performance of downstream retailers. Warehouse solutions and policies significantly contribute to the improvement of distribution and delivery to retailers. This paper therefore reports an analysis of the joint performance of routing policies and p...
Article
Background and objectives Taiwan is among the few hepatitis B virus (HBV) high‐endemic countries that implement universal mini‐pool nucleic acid testing (MP‐NAT) and hepatitis B surface antigen (HBsAg) testing together with confirmatory individual donor nucleic acid testing (ID‐NAT) for its blood supply since 2013. The aim of this study was to reap...
Article
Background and objectives Blood donation can be affected by various factors including time, weather, and other events (such as disasters). To better understand how meteorological factors affect blood donation, this study builds a novel predictive model for blood supply in North Taiwan to facilitate better blood supply chain and inventory management...
Article
Background and objectives: Planning platelet collection and inventory must rely not only on adequate forecasts of transfusion demand but also sophisticated mathematical modeling techniques. This research aims to develop a better demand forecasting model of apheresis platelets and a mathematical programming model to determine the best target amount...
Conference Paper
One of the foundational models for the study of inventory management is the newsvendor problem. Since the newsvendor problem involving perishable goods, one application that might be very concerning nowadays is food inventory management. Particularly, the food and culinary industries face the problem associated with the setting: supply--demand mism...
Article
Financial innovation is a crucial factor behind many of the improvements in the financial sector that directly affect the economy in a positive way. Financial innovation may also alter financial intermediation and increase reliability and transparency. Research has demonstrated that levels of financial innovation are similar among high-income count...
Article
In a Bayesian reliability analysis of a system with dependent components, an aggregate analysis (i.e. system-level analysis) or a simplified disaggregate analysis with independence assumptions may be preferable if the estimations obtained from employing these two approaches do not deviate substantially from those derived through a disaggregate anal...
Article
Various multiple-attribute decision analysis approaches have been developed to choose the best fashion design among alternatives, but none of them consider interdependence among their criteria. This study combined the diamond pairwise comparison method to elicit the weights and interaction degrees of a set of criteria and the Choquet integral metho...
Article
Purpose The purpose of this paper is to develop comprehensive criteria for evaluating fashion design schemes and used an integrated model which considers the interrelation between the clusters of evaluation and the influence between criteria for evaluating alternative fashion design schemes. Design/methodology/approach The integrated approach us...
Article
Offline and online quality control are vital aspects to maintain quality since they help to reduce the deviation of the target product and to avoid any out-of-control manufacturing conditions. In contrast to extant studies which only highlighted the importance of online quality control, this study proposes a new comprehensive model for process sele...
Article
The paper attempts to develop a resubmitted sampling scheme by variables inspection for controlling lot fraction nonconforming when the quality characteristic follows a normal distribution and has two-sided specification limits. In this paper, the plan parameters are determined by the classical two-point condition on the operating characteristic cu...
Article
The use of radio frequency identification (RFID) technology has progressed tremendously in recent years. In the healthcare industry, the decision to adopt RFID technology is a problem requiring a multi-criteria decision analysis that involves both qualitative and quantitative factors. The evaluation of this decision may be based on imprecise inform...
Article
Much attention has been paid to the treatment of dependence and to the characterization of uncertainty and variability (including the issue of dependence among inputs) in performing risk assessments to avoid misleading results. However, with relatively little progress in communicating about the effects and implications of dependence, the effort inv...
Article
Purpose ‐ The purpose of this paper is to investigate the range sensitivity of the analytic hierarchy process (AHP) and evaluate the effectiveness of using a bottom-up approach to mitigate the possible range insensitivity bias in the AHP. Design/methodology/approach ‐ An experiment was conducted to test the normative range-sensitivity of four diffe...
Chapter
Human’s behavior and attitude can be highly influenced by two types of relationship, communal relationship and exchange relationship, and the moral-oriented social norms and the money-oriented market norms applied mechanically in these two relationships, respectively. While there is a great deal of general literature discussing the effect of relati...
Chapter
While quality of a product or a service is considered one of the most important factors that influence consumer satisfaction, evaluating and determining product or service quality can be difficult for many consumers. People thus usually rely on extrinsic cues or surrogate signals of quality to tackle the information asymmetry problems associated wi...
Article
This study proposes and tests a model that uses privacy concern, trust, and motivations to explain the process leading to information disclosure and the intensity of social network services (SNS) use. Use of SNSs has been shown in our investigation to be negatively correlated to a user’s privacy concern but positively correlated to a user’s trust a...
Article
Risk analysts frequently view the regulation of risks as being largely a matter of decision theory. According to this view, risk analysis methods provide information on the likelihood and severity of various possible outcomes; this information should then be assessed using a decision-theoretic approach (such as cost/benefit analysis) to determine w...
Article
Purpose ‐ Methods and techniques of aggregating preferences or priorities in the analytic hierarchy process (AHP) usually ignore variation or dispersion among experts and are vulnerable to extreme values (generated by particular viewpoints or experts trying to distort the final ranking). The purpose of this paper is to propose a modelling approach...
Article
Purpose – The purpose of this paper is to investigate how expert overconfidence and dependence affect the calibration of aggregated probability judgments obtained by various linear opinion-pooling models. Design/methodology/approach – The authors used a large database containing real-world expert judgments, and adopted the leave-one-out cross-valid...
Article
One feasible approach to aggregating uncertainty judgments in risk assessments is to use calibration variables (or seed questions) and the Kullback–Leibler (K–L) distance to evaluate experts’ substantive or normative expertise and assign weights based on the corresponding scores. However, the reliability of this aggregation model and the effects of...
Article
Although methods or techniques of aggregating preference or priority in the analytic hierarchy process (AHP) have been proposed to reconcile conflicts and differences among decision makers, the average-type manipulations usually ignore the variation or dispersion among experts, and are vulnerable to the extreme values (come from particular viewpoin...
Article
One problem in implementing risk regulation has to do with asymmetries in information between regulators and licensees. A possible solution is to provide incentives (e.g., more lenient standards) if violations (e.g., risk levels above some specified standard) are disclosed voluntarily by regulated firms, rather than being discovered through the reg...
Article
Purpose – The purpose of this paper is to compare various linear opinion pooling models for aggregating probability judgments and to determine whether Cooke's performance weighting model can sift out better calibrated experts and produce better aggregated distribution. Design/methodology/approach – The leave-one-out cross-validation technique is ad...
Article
In decision and risk analysis, Cooke's classical model is considered one of the most widely used methods for aggregating experts' probability estimates. However, this model¿s average-probability scoring rule may enable experts who dishonestly report their quantile estimates to obtain higher scores and, hence, to receive greater weights. In this stu...
Article
Overconfidence is one of the most common (and potentially severe) problems in expert judgment. To assess the extent of expert overconfidence, we analyzed a large data set on expert opinion compiled by Cooke and colleagues at the Technical University of Delft and elsewhere. This data set contains roughly five thousand 90% confidence intervals of unc...
Article
One of the behavioral patterns that deviate from what is predicted by traditional financial theories is the disposition effect. Although most empirical studies have reported a significant disposition effect, researchers have yet to conduct a conclusive test of this effect because a competing hypothesis or confounding effects might explain the docum...
Article
Customer loyalty has long been considered a key to the success of businesses, whether they are brick-and-mortar stores or online stores. In many academic fields, particularly that of marketing science, knowledge of onlinE-loyalty determinants is a top priority. The purpose of this article is to answer the questions that have surfaced in the literat...
Article
Trust is considered one of the most important factors that contribute to the success of an e-business. In this article, we consider trust to be a multi-dimensional concept that includes both institutional-based trust and interpersonal-based trust. We present and validate a conceptual framework for the antecedents (Web experience, word-of-mouth, abi...
Article
Classical least squares regression consisting of minimizing the sum of the squared residuals is sensitive to outliers. Many authors have proposed more robust versions of this estimator. In this paper, three classes of robust regression estimators are investigated for various real-world data using the bootstrap procedure. These are the M-estimators,...
Article
While the rationality assumption posits that an investor makes a decision on the basis of his or her expected utility, the decision maker's real action usually deviates from what is predicted by utility theory. One of the behavioral patterns arising from this line is the propensity of traders to hold losing investments too long and to sell winning...

Citations

... This type of routing offers one-way travel which would be a major advantage in physical distancing. Other simple heuristics are return routing and midpoint routing that also are simple to use and offer near-optimal performance as well (Hall, 1993;Petersen, 1997;Fontin & Lin, 2020). ...
... As a compromised strategy, most Chinese blood centers adopt both HBsAg and HBV MP-NAT screening to balance the cost and safety by shortening the WP and intercepting most OBIs. The same approach has also been applied in Taiwan (18). In a country with a high positive rate for anti-HBc, the use of anti-HBc positive/HBsAg negative/HBV-DNA negative donations for anti-HBc (>100 UI) and/or HBsAg positive individuals should also be considered if blood shortage exists. ...
... The effects of neighborhood socioeconomic factors on mortality have been investigated for many cancer types [18,[45][46][47]. Census-tract high school education, median household income, unemployment, and poverty rates are often used to assess associations between neighborhood characteristics and cancer outcomes. ...
... For the prediction of ocean temperature changes, we use the seasonal ARIMA time series model, which can effectively predict the overall seasonal temperature changes in the target sea area in the next 30 years [22][23][24][25][26][27], and then we can determine the future annual average temperature of the target sea area and compare it with the suitable ocean temperature for herring and mackerel; we can get the target migration position of the future fish school. ...
... In contrast, TEs DEA-MF scores of CBs for India, Sri Lanka, Bangladesh, and Pakistan fluctuated from 54% to 62%. On the other hand, average TEs DEA-GF improved from 74.26 percent in 2013 to Table 3 [80] They measured the cost efficiency and technology gap ratio of commercial banks in 9 low-income countries for 2011-2017, and found that CBs of Nepal are costefficient and TGR is highest among all 9 low-income countries. In addition, Pakistan, India, and Sri Lanka are ranked 3rd, 4th, and 5th, with an average TGR of 78 percent, 77 percent, and 70 percent, respectively, indicating greater technical gaps. ...
... sufficiently addressed yet [40]. In addition, existing studies toward this issue [41][42][43][44][45] are mostly limited in the discussions of deterministic system models (e.g. series/parallel system). ...
... Coletti et al. [33] represented the partial preference relation of a set of generalized lotteries as a strictly increasing Choquet expected utility function. Lin and Jerusalem [97] used the diamond pairwise comparison method and the CI to induce the criteria weights and the evaluation utilities to select the optimal fashion design. ...
... To reduce the deviation of the target with respect to time, online process control is needed. General process control is commonly used in the development of the design phase to reduce the variation in processing or manufacturing, whereas online process control is used during the processing phase to allocate the variation and correct the process in real time (Jerusalem et al., 2016). In this study, the formulation of the control chart parameters is associated with the width factor ( , which is used to divide the charts based on the desired sigma level, and the control limits, namely, the upper control limit (UCL) and lower control limit (LCL), derived using Equation (4) (Radhakrishnan and Balamurugan, 2010). ...
... Similarly, the Internet has been a conducive environment for the growth of customer loyalty programs (Ha, 2007). The emergence of these technologies has intensified consumers' interest and access to information regarding loyalty rewards information, although gaining loyal customers is still a challenge for brands (Shaw and Lin, 2006). Furthermore, discussions in Internet forums have long revealed that participating members are often frustrated with some loyalty programs (Stauss et al., 2005;Lee and Jung, 2017). ...
... Govindaraju and Ganesalingam [6], with the assumption that the quality of the lot is not improved by sorting or reprocessing, constructed a resubmitted sampling scheme by attributes. Some RSPs have been developed in recent years, such as Wu et al. [29], Aslam et al. [2], Aslam et al. [3], Liu et al. [18], Kurniati et al. [13], Wu et al. [28,30], and Mahalingam and Balamurali [19]. ...