Peng Luo

• Sichuan University

Algorithmic technological progress presents both opportunities and challenges for organizational management. The success of online labor platforms hinges on algorithmic control, making it imperative to explore how this control affects gig workers’ prosocial service behaviors. Drawing from affective event theory, our study delves into the factors in...

Purpose Social media provides a convenient way to popularise first aid knowledge amongst the general public. So far, little is known about the factors influencing individuals’ adoption of first aid knowledge on social media. Drawing on the information adoption model (IAM), this study investigates the joint effects of cognitive factors (e.g. perceiv...

Face ubiquitous demand uncertainty and channel cross-influence, how to make price decision to improve profits has become an issue faced by decision makers. This paper concerns multichannel price optimization for a closed-loop supply chain and constructs the deterministic and uncertain models. Taking a real closed-loop clothing supply chain as an ex...

In recent years, e-commerce shopping festivals based on the presale model have become increasingly popular. Under the pre-sale model, some e-commerce companies have used inventory front-loading methods to give consumers higher time satisfaction for alleviating the pressure caused by order piling. At the same time a new return method has been genera...

Purpose This paper examines the relationship between supply chain network structures and firm financial performance and the moderating role of international relations. In this study, which is grounded in social capital theory and applies the perspective of systemic risk, the authors theorize the effects of supply chain network structures on firm pe...

To deal with safety risks in a peer-to-peer (P2P) trading economy platform, later customers may consider the decision of prior customers, constituting an environment where herding behavior may occur. This study intends to investigate herding behavior in such platforms and explore the boundary conditions. The study identifies the following findings:...

Based on the stimulus–response framework, this study examines the external environmental stimuli influencing online rumour sharing about COVID-19 and considers the contingent effect of fear. A large-scale online survey was used to test the proposed research model and hypotheses. The final data set comprised 2807 valid responses. The results indicat...

Drawing on the job demand-resource (JD-R) model, the current study constructs a dual-pathway approach which aims to reveal the mixed impact of AI awareness on service innovative behavior. Specifically, this paper argues that AI awareness will both increase employees' emotional exhaustion, inhibiting their service innovative behaviors (strain pathwa...

An effective risk assessment approach for assessing the risk level of aviation emergency rescue is essential to aviation emergency management. Therefore, this study is aimed at extending a novel integrated multiattribute group decision-making (MAGDM) approach to conduct risk assessment in aviation emergency rescue. First, a combined improved Swiss...

The concept of green development has gradually penetrated into the enterprise. Green mergers and acquisitions (M&A) have gradually become a means for heavily polluting enterprises to achieve the goal of energy conservation and emission reduction and embark on the path of green transformation. Heavily polluting enterprises have acquired clean techno...

With the rapid growth of rural cars ownership, the environmental pollution caused by rural traffic has become a new problem restricting the sustainable development of social economy. Therefore, encouraging and supporting rural residents’ green travel has become the focus of government and academic circles. Based on the context of China's local rura...

Existing literatures of rumor on social media mainly focus on its sharing, ignoring rumor refuting related studies. To bridge the above research gap, present study proposed a dual-pathway model examining the impact of different information-source on online rumor refuting. Specially, COVID-19-related information seeking will induce individuals' rumo...

Number 8 is regarded as a lucky number in Chinese culture and is preferred over other numbers, especially in financial and retail market. To explore the impact of lucky numbers in room prices, we collect data from a room-sharing platform (Mayi) in China. The results indicate that a room with the lucky number in its price receives more bookings and...

Online health communities (OHCs) have enjoyed increasing popularity in recent years, especially in the context of the COVID-19 pandemic. However, several concerns have been raised regarding the privacy of users’ personal information in OHCs. Considering that OHCs are a type of data-sharing or data-driven platform, it is crucial to determine whether...

This research aims to test the potential spillover effect among room rentals using the context of room-sharing platforms. The spillover effect refers to the influence of related units' outcomes on a unit's outcome. On this basis, we hypothesize that the number of bookings of targeted neighboring rooms influences the number of bookings of a recommen...

Online accommodation-sharing has experienced rapid growth and greatly attracted the interest of current scholars. This study develops a theoretical model to explore the factors determining future bookings based on the novel perspective of information processing. We examine the effects of basic room and host information and the contingent role of cr...

Purpose This study examines the dynamic relationships of visit behavior in the multiple channels [personal computer (PC) and mobile channels] on online store sales performance. Design/methodology/approach The empirical data were from an online store for the period between August 14, 2015 and May 15, 2016. The data consisted of consumer visit behav...

With the outbreak of COVID-19, online sharing of rumors about the disease is of growing concern worldwide. Drawing on the stimulus–organism–response (S–O-R) framework, this study aims to explore the impacts of peer condition and peer communication on fear of COVID-19, and the impact of fear of COVID-19 on online rumor sharing behavior, by consideri...

Public news provides rich information about firm operations and market dynamics. Learning about firm interactions from news is commonly done by human investors but has not been realized by automatic methods, leading to a research opportunity in market signaling via dynamic firm relations. This study proposes a new text-mining approach to extract co...

From the viewpoint of a monopolist who is selling a product in a market where peer communication matters, a social network of consumers is a valuable resource that can elevate a company's revenue if used effectively. In order to understand and realize the potential value within a social network, this paper focuses on measuring the link value in mar...

With the increase of global economic integration and business connections, stock performance in the securities market display increasing co-movement. Such co-movement is an important vehicle for risk and portfolio management in the finance arena. Thus, it is important for academics and practitioners to understand the mechanisms behind this co-movem...

Social influence has a great impact on human behavior, which has been widely investigated in various research fields. Even so, it has rarely been investigated in the online health community. In this paper, we focus on the multichannel access in online health communities, defining social influence as the average degree of multichannel access to a ph...

Interpreting the formation of co-author networks is an interesting task since it can uncover the human behaviour reasons why the co-author network can form, and also a challenging one because the evolution process of co-author network cannot be observed from time to time. Based on a single observation of a co-author network, this paper aims to unco...

Characterizing the evolution of social networks is challenging, because social networks tend to be large. In addition, their evolution entails latent variables, such as unobserved meeting states. The objective of this paper was to develop a utility-based model with preference parameters for clarifying the reasons for the behavior underlying network...

As is popular in e-commerce, consumers share their product experiences and opinions on the Web by assigning rating stars or writing reviews. The information constitutes word of mouth (WOM) about products. An increasing number of studies have sought to understand how WOM metrics are related to product sales. However, current research focuses mainly...

Link prediction is a fundamental task in social networks, with the goal of estimating the likelihood of a link between each node pair. It can be applied in many situations, such as friend discovery on social media platforms or co-author recommendations in collaboration networks. Compared to the numerous traditional methods, this paper introduces ut...

Link prediction measures have been attracted particular attention in the field of mathematical physics. In this paper, we consider the different effects of neighbors in link prediction and focus on four different situations: only consider the individual’s own effects; consider the effects of individual, neighbors and neighbors’ neighbors; consider...

Social influence is a universal concept that measures the interactions and links between entities. Existing social influence research primarily focuses on friendship networks among people. We propose a general approach to measure social influence in a type of objective entity, specifically in company networks. To construct the company influence net...

As economic integration and business connections increase, companies actively interact with each other in the market in cooperative or competitive relationships. To understand the market network structure with company relationships and to investigate the impacts of market network structure on stock sector performance, we propose the construct of a...

With the development of e-commerce platforms, online customer reviews have become an important instrument for providing product word-of-mouth (WoM) information. Analyzing and measuring WoM is quite valuable in product design, sales prediction, marketing strategy, and other decision-making tasks. In contrast to previous studies that analyze product...

This paper proposes a new model for detecting missing links in social networks. A utility function is introduced that considers the node attributes as well as the network structure for the individuals to decide whether to form a link. At the same time, logistic regression is also adopted to estimate the parameters of the algorithm based on the obse...

According to asset pricing theory, a stock’s expected returns are determined by its exposure to systematic risk. In this paper, we propose a new method for analyzing the interaction effects among industries and stocks on stock returns. We construct a complex network based on correlations of abnormal stock returns and use centrality and modularity,...

Predicting the price of stock is very helpful and can attract the interest of researchers and investors who make subjective investment judgments based on objective technical indicators. We propose a new hybrid forecasting model utilizing the combined prediction’s principle as well as the artificial intelligence’s technique. First, the new method pr...

Due to the difficulty of estimating probability function and the high space complexity of the existing probabilistic neural network (PNN), an improved PNN model is presented by introducing the mechanism of back-propagation (BP). The improved model inherits the principle and structure of PNN, and meanwhile applies the BP algorithm of multilayer perc...

Purpose – Rating, as a common way of evaluation, is a significant exercise and plays a major role in managerial decision-making in general and in particular online purchasing. The paper aims to discuss these issues. Design/methodology/approach – This study utilizes the theory of social network analysis (SNA) to make a comprehensive evaluation mode...

Predicting stock composite index is useful, which can raise the interest of both the investors and the corresponding researchers. This paper presented a new combination prediction model based on the technique of artificial intelligence and the principle of combination forecast. The principle of combination forecast, as a valid foundation of the new...

Similarity measurement for the network node has been paid increasing attention in the field of statistical physics. In this paper, we propose an entropy-based information loss method to measure the node similarity. The whole model is established based on this idea that less information loss is caused by seeing two more similar nodes as the same. Th...

This study proposes a network-based model with two parameters to find influential authors based on the idea that the prestige of a whole network changes when a node is removed. We apply the Katz–Bonacich centrality to define network prestige, which agrees with the idea behind the PageRank algorithm. We further deduce a concise mathematical formula...

As an important content in fuzzy mathematics, similarity measure is used to measure the similarity degree between two fuzzy sets. Considering the existing similarity measures, most of them do not consider the hesitancy degree and some methods considering the hesitancy degree are based on the intuitionistic fuzzy sets, intuitionistic fuzzy values. I...

The sampling method has been paid much attention in the field of complex network in general and statistical physics in particular. This paper presents two new sampling methods based on the perspective that a small part of vertices with high node degree can possess the most structure information of a network. The two proposed sampling methods are ef...

Network node similarity measure has been paid particular attention in the field of statistical physics. In this paper, we utilize the concept of information and information loss to measure the node similarity. The whole model is based on this idea that if two nodes are more similar than the others, then the information loss of seeing them as the sa...

Different types of network evolution have different characteristics. To study the characteristics of the different network evolution, we try to take advantage of the network structure entropy as network evolution indicators. We also choose the three typical network including the scale-free network, the random network, the star network and construct...

Exploration of the characteristics of innovation adoption in the context of social network will add new insights beyond the traditional innovation models. In this paper, we establish a new agent-based model to simulate the behaviors of agents in terms of innovation adoption. Specifically, we examine the effects of the network structure, homophily a...

The effective and accurate recommendation method is called for the fast development of E-commence. In the existed recommendation algorithms, there are two biggest problems: data sparseness and manipulation problem. In our paper, we propose a new view to recommend which based on similarity of two interval-valued intuitionistic fuzzy sets defined by...

In order to solve the problem of the inconsistencies in different evaluation methods of 14 listed transport companies, this paper constructs an improved integrated evaluation model. First, Analytic Hierarchy Process, Gray Relation Analysis, and Factor Analysis were used in the model, and Kendall's W was applied to the prior test the different metho...

Exploration of the characteristics of innovation adoption in the context of social network will add new insights beyond the traditional innovation models. In this paper, we establish a new agent-based model to simulate the behaviors of agents in terms of innovation adoption. Specifically, we examine the effects of the network structure, homophily a...