IECE Transactions on Social Statistics and Computing
 ISSN: 2996-8488
Editor-in-Chief:  Guojie Xie
Impact Factor: 0.4
CiteScore: 0.4
IECE Transactions on Social Statistics and Computing aims to tackle social science challenges through quantitative and computational approaches, employing methods like statistics, computation, modeling, and simulation. Our scope spans diverse domains such as business, management, economics, logistics, e-commerce, education, public health, law, politics, and sociology. We publish articles within these fields, emphasizing the use of statistical and quantitative methodologies. Moreover, the journal welcomes contributions utilizing fuzzy set qualitative comparative analysis methods for analyzing social science issues.
17%
Accepttance Rate
35 Days
Submission to Final Decision
7 Days
Accepttance to Publication
Research Article | 12 January 2024
The Optimization of Cold Chain Logistics Delivery Routes for Company B Based on Service Priority
IECE Transactions on Social Statistics and Computing | Volume 1, Issue 1: 26-32, 2024 | DOI:10.00000/TSSC.2024.100005
Abstract
In recent years, China's cold chain logistics market has developed rapidly under the strong drive of the growth of food and pharmaceutical cold chains demand, as well as the strong support of government policies. Cold chain distributiIon plays a crucial role in optimal cold chain logistics. The study focuses on company B as the research subject and aims to reduce distribution costs. Considering factors of customer timeliness requirements and vehicle types, combined with the issue of service priority, a S-TS algorithm is adopted to establish a cold chain distribution path optimal model that is in line with the actual situation of company B. Then, the optimal solution of total distribution cos... More >

Graphical Abstract

Research Article | 9 January 2024
Consumer Satisfaction Based on Online Reviews of Fresh Food E-commerce Platforms: Take YuanShengXian Store As an Example
IECE Transactions on Social Statistics and Computing | Volume 1, Issue 1: 19-25, 2024 | DOI:10.00000/TSSC.2024.100004
Abstract
Online reviews are a vital tool for both businesses and customers to understand each other's requirements and to learn about the features and quality of products. This paper uses word frequency statistics and semantic network analysis to analyze the factors affecting consumer satisfaction into five categories: service, quality, logistics, packaging, and price. The research object is text reviews of various products from YuanShengXian's flagship store. The analysis yields a consumer sentiment evaluation for each influencing factor. The theoretical framework of the new e-commerce satisfaction assessment is further enhanced and improved by this study, which also serves as a guide for the enterp... More >

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Research Article | 8 January 2024
Visitors' Preferences at Chinese Historical Sites
IECE Transactions on Social Statistics and Computing | Volume 1, Issue 1: 15-18, 2024 | DOI:10.00000/TSSC.2024.100003
Abstract
Traveling to diverse locations for leisure purposes is known as tourism, and it offers a variety of vacation experiences, including activities, healthcare, education, and religious, beachside, or rural getaways. People can escape their everyday life, learn new things, and enjoy the arts thanks to it. Both personal growth and cross-cultural exchange are facilitated by tourism. Nonetheless, diverse traveler tastes drive individuals to particular cities, nations, or areas. The goal of this study is to present a current typology of Chinese visitors based on experience and centrality, pinpointing their preferences and building a thorough profile. Prior research conducted in China has investigated... More >

Graphical Abstract

Research Article | 5 January 2024
The Impact of Workplace Marginalization on Organizational Citizenship Behavior of Property Management Personnel in Public Health Emergencies
IECE Transactions on Social Statistics and Computing | Volume 1, Issue 1: 9-14, 2024 | DOI:10.00000/TSSC.2024.100002
Abstract
In public health emergencies, the property personnel of the community have become a key line of defense to ensure the safety of residents. However, in practice, it has been observed that there is often a significant mismatch between the characteristics of these personnel and their roles during such emergencies. The behavior of these employees at work is influenced by various factors. This study, beginning with grassroots personnel, aims to explore the impact of their perception of workplace marginalization on their organizational citizenship behavior. Additionally, the study analyzes the moderating effect of inducement to provide theoretical guidance for emergency management practices.Throug... More >

Research Article | 5 January 2024
The Public Health Events on the Audit Behavior and the Audit Quality: An Empirical Study
IECE Transactions on Social Statistics and Computing | Volume 1, Issue 1: 1-8, 2024 | DOI:10.00000/TSSC.2024.100001
Abstract
Public health emergencies have a significant impact on the safety of life and property of the people, and also exert a profound influence on various aspects of Chinese society and economy. In this study, we aim to select public health emergencies that occurred between 2018 and 2021 as empirical data. Using event analysis techniques, we systematically investigate how such emergencies affect the audit behavior of listed companies in China and the quality of their audits. Our findings indicate that public health emergencies have a significant negative impact on audit quality and also affect audit behavior, as evidenced by the increase in audit fees following the outbreak of such emergencies. By... More >

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