Online consumers being allowed to return unsatisfied products any store prevails in the omnichannel retailing context. Retailers increasingly implement a option offer seamless shopping experience. This paper develops newsvendor model of retailer selling its through both online and offline channels. Consumers can for full refund, returned items be resold as refurbished circular economy era. Utilising game theory, retailer's optimal ordering pricing decisions are obtained under benchmark...

Recent advances in circuit and process technologies have pushed non-volatile memory into a new era. These exhibit appealing properties such as low power consumption, non-volatility, shock-resistivity, high density. However, there are challenges to which we need answers the road of applying memories main computer systems. First, limited number write/erase cycles compared with DRAM memory. Second, write activities on more expensive than terms energy consumption access latency. Both will...

The increasing public attention on green products prompted firms and government to focus the design manufacturing of these products. This study focuses a supply chain system that consists three members, namely, supplier, manufacturer, government, then investigates effects subsidies social welfare profits members. We utilize game optimization theories calculate compare optimal decisions players in following scenarios: (i) provides subsidy rate cost manufacturer’s greenness efforts (first...

This paper considers a retail platform selling product to consumers and voluntarily discloses quality information by using blockchain technology (BCT). Consumers decide whether deliberate before making purchase decisions. We develop an analytical model explore the effects of disclosure strategies on platform's pricing consumers' deliberation Some interesting results are obtained. First, regardless strategy, purchasing decisions depend cost price. will only if price is at medium level not too...

This paper considers a global fresh product supply chain consisting of an overseas supplier and local cross-border e-commerce platform, in which the sells products to platform then them consumers at market. We develop analytical model explore effects adoption blockchain technology (BCT) on pricing decisions profits members. The results show that wholesale price retail may decrease or increase when adopts BCT, BCT is not always beneficial both retailer. should adopt if real freshness...

Purpose As China’s e-commerce and cross-border rapidly develop, the supply chain exhibits characteristics of globalized development scale, collaborative multiparty participation, streamlined management processes, digitalized production trade flexible strategic choices. It tends toward data-driven intelligence, interoperable information collaboration, personalized order responses, sustainable secure blockchain technology. These trends provide critical references for businesses, governments...

The software and data in this repository are a snapshot of the that were used research reported on paper Divide-and-Contrast: A Machine Learning Method for Text-based Risk Prediction Using Earnings Conference Call Transcripts by Y. He, Yang, D. Lian, K. Zhang.

Abstract Carbon tax policy is widely adopted by many countries to curb carbon emissions. In the context of policy, firms have more incentive improve reduction levels reducing their costs. However, need bear costs that may cause shortage capital. Thus, face problems financial constraints, which demotivate produce greener products. To address decision‐making challenges in contexts and we consider a supply chain with manufacturer who produces green products retailer sells these Our study...

Abstract This study focuses on the value of buy‐online‐and‐pickup‐in‐store (BOPS) option during online shopping carnivals. We develop a newsvendor model in which retailer faces risk order overload and provides consumers with BOPS option. The optimal pricing ordering decisions under benchmark scenario omnichannel retailing are analyzed. results demonstrate that after implementing option, will maintain or lower price instead raising price. In addition, we find fraction consumers, unit goodwill...

Abstract Consumer impulsive purchasing is very common, especially in the livestream selling where they are influenced by policies such as low prices, limited time, and quantity. This behavior can increase a firm's sales, but it also leads to higher return rates. Considering consumer impulse purchase, this paper conducts an analytical model investigate conditions for firm introduce channel whether should adopt or moderate price strategy when introducing channel. Our results show that,...

Forecasting the market risk for publicly traded companies is a critical task participants. Financial economics research demonstrates that textual information contained in corporate disclosures, such as earnings conference call transcripts, can effectively predict firm’s future risk. This finding has inspired growing body of focused specifically on transcript-based approaches to forecasting. However, transcripts are typically long documents with thousands words. Prior forecasting studies...

Purpose This paper aims to study whether the recycling of a third party competes with trade-in service manufacturer, and explores optimal third-party collection authorization strategies for manufacturer. Design/methodology/approach According authorize collect its used products, manufacturer has two choices: one is not (NA); other (A). uses profit-maximization model investigate decisions under NA A, respectively, then which choice better Findings It observed that there competition between...

In wireless sensor networks, the preloaded program code and data on nodes often need to be updated due changes in user requirements or environmental conditions. Sensor are severely restricted by energy constraints. It is especially consuming for update through radio packages. To efficiently radio, we propose an algorithm, reprogramming with minimal transferred (RMTD), find optimum combination of copying from old image downloading host machine minimize number bytes needed a node. Our...