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SHAO Hui

Extreme-Case Distortion Risk Measures: A Unification and Generalization of Closed-Form Solutions

Abstract: Extreme-case risk measures provide an approach for quantifying the upper and lower bounds of risk in situations where limited information is available regarding the underlying distributions. Previous research has demonstrated that for popular risk measures, such as value-at-risk and conditional value-at-risk, the worst-case counterparts can be evaluated in closed form when only the first...

2022.07
SHAO Hui

Distortion Risk Measure under Parametric Ambiguity

Abstract: This study develops closed-form solutions for distortion risk measures (DRM) in extreme cases by utilizing the first two moments and the symmetry of underlying distributions. The resultant extreme-case distributions, encompassing the worst- and best-case distributions, are identified by the envelopes of the distortion functions. The findings of this study extend previous research on wors...

2022.07
LEI Linan

The growth of hidden champions in China a cognitive explanation from integrated view

Abstract: There is a research gap in strategic management regarding the complement from managerial cognition literature to the behavioral theory of firm, as well as linkage between cognitive structure and cognitive process of strategy formulation in the field of managerial cognition, which also calls for further exploration. The purpose of this paper is to construct a model from an integrated view...

2022.06
WAN Feng

Developing non-traditional firm-specific advantages in domestic strategic factor markets: evidence from China

Abstract:PurposeChinese firms are winning market share from foreign multinational enterprises in domestic markets. The international business literature suggests that this is happening because these firms are developing non-traditional firm-specific advantages (FSAs). Strategic factor market (SFM) theory provides a good basis for explaining how this is happening. However, it is underdeveloped in t...

2024.02
WAN Feng

Is disruptive innovation in emerging economies different? Evidence from China

Abstract: Most studies on disruptive innovations have focused on developed economies and little work examines this type of innovation in and from emerging economies. Moreover, previous studies on disruptive innovations have not investigated the processes behind. This study begins to fill these research gaps. Analysing disruptive innovations in and from China, we identify three important difference...

2022.08
WANG Cheng

Testing the performance of online recommendation agents: A meta-analysis

Abstract: Many retailers (e.g., Amazon, Walmart) use various types of online recommendation agents (RAs) on their websites to suggest goods and services to consumers. These RAs screen millions of options to ease consumers’ information search and evaluation. To determine which RA types best support consumers’ efforts, the present research reports a meta-analysis of perceived recommendation qualit...

2022.08
WANG Cheng

Revealing the black box: Understanding how prior self-disclosure affects privacy concern in the on-demand services

Abstract: With the growth of on-demand services, consumers are increasingly concerned about information privacy. While the direct relationship between prior self-disclosure and privacy concern has been extensively examined, the mediating mechanism remains as a black box. Revealing this black box can broaden the theoretical understanding of this important relationship, and also provide implications...

2022.08
WANG Yiwei

Does Customer Email Engagement Improve Profitability? Evidence from a Field Experiment in Subscription Service Retailing

Abstract: This paper empirically investigates how customer email engagement affects the profitability of subscription service providers and retailers. They have been using email engagement to increase customer retention. However, it is unclear whether email engagement improves their profitability. The existing literature focuses on email engagement’s benefit of customer retention but ignores its ...

2024.07
WANG Yiwei

Product Design Enhancement for Fashion Retailing

As the fashion industry increasingly embraces artificial intelligence (AI), we investigate how a fast-fashion retailer should choose between using a manual design strategy or an AI-assisted design strategy to enhance existing products. A manual design is a traditional and basic approach that involves human designers only, whereas an AI-assisted design is a more innovative approach that involves bo...

2022.06
ZHOU Wenyu

Uniform Nonparametric Inference for Spatially Dependent Panel Data

Abstract: This article proposes a uniform functional inference method for nonparametric regressions in a panel-data setting that features general unknown forms of spatio-temporal dependence. The method requires a long time span, but does not impose any restriction on the size of the cross section or the strength of spatial correlation. The uniform inference is justified via a new growing-dimension...

2023.07
ZHOU Wenyu

Conditional evaluation of predictive models: The cspa command

Abstract: In this article, we introduce a new command, cspa, that implements the conditional superior predictive ability test developed in Li, Liao, and Quaedvlieg (2022, Review of Economic Studies 89: 843–875). With the conditional performance of predictive methods measured nonparametrically by the conditional expectation functions of their predictive losses, we test the null hypothesis that a be...

2024.07
ZHOU Wenyu

Machine learning in the Chinese stock market

Abstract: We add to the emerging literature on empirical asset pricing in the Chinese stock market by building and analyzing a comprehensive set of return prediction factors using various machine learning algorithms. Contrasting previous studies for the US market, liquidity emerges as the most important predictor, leading us to closely examine the impact of transaction costs. The retail investors...

2024.07

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