For e-commerce companies, it is easier to obtain a large amount of aggregated data about user behavior with the help of embedded network platforms, which contains valuable information that helps to form effective...
This study aims to explore the integration of human-computer interaction (HCI) technology and platform ecosystem in artificial intelligence (AI) environment, thus providing a practical basis for the intelligent development of...
Cold chain logistic firms have been motivated to decrease overall operating costs and carbon emissions to capture economic edge and maintain profitability by intense competition and financial energy requirements. C Our analysis...
The optimal productivity model plays a significant role in various supply chain management (SCM) decision support systems. Therefore, the precision of the optimal productivity model is necessary to improve SCM's effectiveness. A...
There is a subject-object asymmetry in Chinese, such that the extraction of a possessor NP from a possessive NP is quite free from subject position but restricted from object position. A possessive tJP consists of a possessor NP...
In der vorliegenden Arbeit befasse ich mich mit der Problematik derEmpfindung, bzw. der Hyle, in Husserls Phänomenologie und derentsprechenden Auslegung von Ludwig Landgrebe. Husserl verwendet denBegriff der Empfindung, bzw. der...
Although business and researchers acknowledge the importance of social media, little research has been conducted to explore what attracts people to follow brand Twitter accounts. This research attempts to achieve an analytical...
Although business and researchers acknowledge the importance of social media, little research has been conducted to explore what attracts people to follow brand Twitter accounts. This research attempts to achieve an analytical...
This article describes how understanding human mobility behavior is of great significance for predicting a broad range of socioeconomic phenomena in contemporary society. Although many studies have been conducted to uncover...
The aim of process discovery is to discover process models from the process execution data stored in event logs. In the era of “Big Data,” one of the key challenges is to analyze the large amounts of collected data in meaningful...
The study aims to investigate how pre-editing based on controlled Chinese rules can be an effective approach to improving Chinese-to-English machine translation (MT) output. Based on the analysis of comparable texts, and by...
Studies have focused on elucidating the sharing behavior of media users. However, few studies have specifically investigated users' health information sharing behavior in the social media context, especially WeChat. This study...
Product country-of-origin (COO) is now playing a central role in consumers’ purchase behavior. Previous studies have investigated several factors that impact COO. However, little attention has been paid to the impact of COO on...
This study focuses on the restorative effects of immersive virtual reality (VR) forest experiences on elderly people during the COVID-19 lockdown. A field experiment with 63 elderly participants was conducted in an elderly care...
This research mainly discusses the design of online learning behavior feature mining method based on decision tree. Data collection is the real-time collection of online learning behavior data from distance learning websites....
Supply chain management has become increasingly important as an academic subject due to globalization developments contributing to massive production-related benefits reallocation. The huge volume of data produced in the global...
Image style transfer (IST) has drawn broad attention recently. At present, convolutional neural network (CNN)-based methods and generative adversarial network (GAN)-based methods have been broadly utilized in IST. However, the...
To solve some problems of particle swarm optimization, such as the premature convergence and falling into a sub-optimal solution easily, we introduce the probability initialization strategy and genetic operator into the...
The research proposes an innovated structure of the density map-based crowd counting network augmented by information entropy. The network comprises of a front-end network to extract features and a back-end network to generate...
With the characteristic of low carbon emission and sustainability, the development of rural tourism becomes one of the key parts to achieve mutual carbon target in Chinese tourism industry. However, previous research on China's...
Because of the growing competition and challenges within the global business environment, understanding performance management has become essential to small- and medium-sized enterprises (SMEs) as they have traditionally...
The sports lottery industry is growing globally, especially in the online betting market. This study focuses on online sports lottery behavior and tries to propose a framework applied in a virtual environment. Based on the...
The objective of this article is to design a game theory-based model to outline the role of the government, firm and civil society for environmental sustainability. The study used the dynamic game theory of complete information....
This study makes use of online teaching in this environment and adopts it for use in a required computer skills course with Cognitive apprenticeship (CA) and Co-regulated learning (CRL) teaching methods to improve students’...
Corrugated paper industry is an indispensable industry and it has been developed for more than fifty years. Hence, it is important for a firm to find its core competence, study effective business strategies, and form a long-term...