Roger Lin

National Taiwan University of Science and Technology · Department of Industrial Management

Experts in traditional pricing literature often assume that consumers are rational in their purchasing decisions, and tend to ignore the effect of psychological behavior. One of the fundamental irrational psychological behaviors is overconfidence, which refers to overestimation. The benefits of three-part tariffs under demand uncertainty caused by...

Food suppliers and retailers are grappling with challenging pricing and operational policies due to the deterioration of product quality over time. This problem is exacerbated by the food supplier’s intentions to provide false information about the freshness of the food. A principal-agent model optimisation for food retailer pricing is constructed...

This research investigates quality-based optimal pricing decisions of a supplier and a retailer in vertical Nash and Stackelberg games, where the game scenarios include with and without markdown pricing scenarios. Particularly, delivery lead time is formulated as a decision on quality-keeping effort, and the cost of food wastage resulting from unso...

Purpose-This study proposes and demonstrates a novel approach to analyzing customer channel preferences and willingness-to-pay (WTP) in the dual sales channel (DSC) system involving direct online channels and conventional offline retailers, and to how the pricing decisions are made under specific game competition. Design/methodology/approach-Questi...

E-commerce technology and the growth of online shopping have pushed manufacturers to apply a dual-channel supply chain strategy. It has also become critical for the service-only industry to form dual-channel service-only supply chains (DCSOSCs). This study investigates dynamic pricing and service capacity utilization decisions in DCSOSC over two co...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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 differen...

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...

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...

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 an...

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‐validati...

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...

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...

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...

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 adopt...

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...

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...

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...

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,...

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...

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...

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...