Information Industry Research Articles

Design of an Integrated Approach to Industrial Logistics Information Based on Supply Chain Management

In recent years, with the continuous integration and development of manufacturing and intelligent technologies, the enhancement of the intelligence and informatization of production becomes an important issue in intelligent manufacturing. Industrial logistics systems are responsible for the transport of tools and raw materials for production and processing. Therefore, industrial logistics plays an essential role in improving the production efficiency of products. The value of the supply chain comes from the synergy of the various processes between various companies. The development of industrial logistics has effectively solved the issue of the inability of logistics to synchronize product and service flows in the supply chain and is an important part of the overall supply chain for the relevant enterprises. Now, the logistics industry is an important support industry for China’s economic development, and how to achieve rapid and stable development of the logistics industry is a key issue facing China that needs to be resolved. In addition, with the globalization of the economic environment today, enterprises are facing increasingly fierce competition. In this context, most companies are taking logistics informatization as an important factor for their success. Meanwhile, with the rapid development of the information industry, new information technologies are emerging. The application of new information technologies can improve the competitiveness of enterprises to a certain extent. After all, an important feature of modern industry is the organic integration of industry and services to promote the modernization of industry. The logistics industry, as a leading service industry, has already penetrated all aspects of the industry. However, the industry has not yet developed a comprehensive approach to the integration of industrial logistics information. The selection of a model based on unilateral consideration of transport costs and other indicators is no longer appropriate to the current situation. Therefore, it is of practical significance to study the integration of logistics information in the supply chain environment. Based on supply chain management, this research explores and designs a relevant approach to the integration of industrial logistics information, thus providing some suggestions for the direction of industrial logistics.

Unraveling the intricate relationship between empowerment role identity and adaptive performance: Evidence from China

How to inspire employees to develop proficiency in their adaptability to fulfill new job requirements and what benefits can organizations derive from employee empowerment serve as two core questions in management literature. However, the linkage between empowerment and adaptive performance, let alone their interactions with other factors, is seldom studied. This article fills in this gap by examining the relationships among empowerment role identity, adaptive performance, authentic leadership, and leader-member exchange (LMX). Using data collected from a sample of 326 employee-supervisor dyads in China’s information, communication, and technology (ICT) industry, this article argues that LMX mediates the positive correlation between employees’ empowerment role identity and their adaptive performance. By adopting the Johnson-Neyman technique, this article further showcases the exact extent to which authentic leadership facilitates, counteracts, and undermines the mediating role that LMX plays in helping employees with empowerment needs to achieve greater adaptability.

Performance Evaluation of Online Recruitment Enterprises Based on Intuitionistic Fuzzy Set and TOPSIS

With the advancement of global informatization process, the development of online recruitment enterprises shows a continuous growth trend. Moreover, the growth rate has long been higher than the average level of the information industry. The adjustment and improvement of industrial structure has become an important means for the sustainable development of online recruitment enterprises. In order to further improve the development level of enterprise online recruitment performance, this paper proposes an improved intuitionistic fuzzy analytic hierarchy process and further proposes an intuitionistic fuzzy TOPSIS method optimized by adaptive ant colony algorithm. Select the sample system and finally determine the index system. Finally, the performance of the improved intuitionistic fuzzy set and TOPSIS method is evaluated. The results show that the improved intuitionistic fuzzy set based on adaptive ant colony algorithm and TOPSIS method proposed in this paper is obviously superior to other methods in optimization ability, stability, convergence speed, and running time and can be better applied to practical work. The improvement of the average performance level of online recruitment enterprises in 2022 mainly depends on the improvement of recruitment and appointment level. Enterprises also need to strengthen recruitment and appointment and optimize the company's performance management as a whole.

Optimization for the Human Resources Management Strategy of the IoT Industry Based on AHP.

Since the twenty-first century, new things are emerging in the market economy; the Internet is one of them. Internet of things (IoT) is a new thing, which combines computer, Internet, and mobile communication network after the third wave of information industry, the development of huge application prospect, has been listed as one of the five emerging strategic industries. With the rapid development of digital technology and market economy, to accelerate the competition in the market economy, intense competition in IoT industry also exists. Effect of human resource management to a certain extent determines the strength of the market competitiveness of an enterprise; the research about human resource management of the IoT industry is carried out in this paper, by analysis of the basic characteristics of the Internet industry and combining Internet enterprise competitiveness, and it is directly related to human resource of a number of factors and applies the AHP method to establish the Internet enterprise human resources management quality and the effect of the evaluation model. Finally, an IoT enterprise is taken as the study object, the human resources management quality assessment model studied in this paper is used to evaluate enterprise's human resources management, and its existing human resources management strategy and its optimization are studied, which provide certain theory support to enhance its market competitiveness.

Tone of language, financial disclosure, and earnings management: a textual analysis of form 20-F

This study investigates the relationship between the tone of financial disclosures and managers’ earnings management behavior using Form 20-F filings of Chinese firms listed in the U.S. during 2002–2014. The results show that the proportion of positive, uncertain, or modal words used in financial disclosures is positively related to corporate earnings management, implying that managers attempt to conceal earnings management behavior by manipulating the tone of their financial reports. In addition, robustness tests are conducted using an alternative proxy for earnings management that considers the effects of the financial crisis and separately examines the information and non-information technology industries. The results suggest that the tone used in financial disclosures has informative value, and textual analysis can be an effective tool for identifying earnings management.

Stress management modalities in BPO’S

Stress is an intangible aspect of being human. It is not visible or touchable, but it can be sensed. An individual who is stressed is unable to provide his best to both the organization and the individual. Family life will be disrupted as well. Nobody wants to be stressed, but the present situation necessitates it. Workplace pressure and personal life obligations play a significant role in this. I attempted to comprehend the perceptions of people working in the information industry in this paper. In terms of stress in the technology sector. After making the decision, 12 variables were evaluated. A thorough examination of the literature, a pilot study, and the solicitation of HR specialists' expert opinions. For data analysis and collection, the Likert scale approach was employed. 200 questionnaires were circulated, and 109 replies were collected. The data was analysed using two age groups: 25-40 years old and over 40 years old.

The Impact of R&D and Advertising on Firm Performance in High-Tech Industries—Evidence from the U.S. Information and Communications Technology Industry

The Impact of R&D and Advertising on Firm Performance in High-Tech Industries—Evidence from the U.S. Information and Communications Technology Industry

Internet of Things Device Identification Algorithm considering User Privacy.

The Internet of Things has become the third wave of the information industry and cloud computing, big data, and Internet technologies. Among the many identification technologies used in the Internet of Things, radiofrequency identification technology is undoubtedly one of the most popular methods today. It is replacing the traditional contact IC card and becoming a new trend of smart cards. At the same time, a large amount of data is generated in the IoT environment. A lot of data involve user privacy, and users do not have good control over these data. Collecting and utilizing these data on the basis of protecting user privacy have become an important problem to be solved urgently. With the implementation of the strategy of rejuvenating the country through science and education, major colleges and universities are developing rapidly through enrollment and expansion, which also brings inconvenience to campus security management. Although the traditional campus all-in-one card system can guarantee the security identity of people entering and leaving, it does not reasonably integrate and utilize this information, resulting in waste of information resources and, to a certain extent, the problem of user privacy leakage. To solve the above problems, a new system was developed to integrate resources to identify users. To protect the privacy data of Internet of Things users, a specific solution using blockchain technology is proposed; for the identity authentication problem of Internet of Things users, the identity authentication based on the public key address of the blockchain is used on the chain, and the group signature is used off the chain. The identity authentication method solves the contradiction between anonymity and traceability in blockchain application scenarios. The simulation results show that the system not only considers user privacy but also has extremely important practical significance for the promotion of Internet of Things and RF applications.

Role of Internet of Things (IoT) Increasing Quality Implementation in Oman Hospitals During COVID-19

Internet of Things (IoT) has had an influence on the health information industry since it has grown so quickly. This goal may be achieved through increasing the effectiveness, speed, and affordability of health care delivery. A framework for health-related IoT success developed by Mclean and DeLone Information Systems (IS) has yet to be proven. Its aim is thus to demonstrate the value of information systems (IS) in connection to client happiness, IoT Net benefits, and user intent in five Oman healthcare providers. This research will also look at the infrastructure and technologies that are necessary to improve the efficiency of social healthcare procedures for residents. A hospital's management should be encouraged by this conclusion to concentrate on critical components of IoT adoption in health systems. There were 750 questionnaires sent out, and 430 of them had been returned to Oman's five healthcare facilities. The response rate to the survey was 57%. For the purposes of this study, we want to examine the impact of infrastructure and technology on the well-being of citizens and users of the Internet of Things (IoT). It was also used to test assumptions pertaining to technology, infrastructure, system quality, and information quality. Oman's healthcare facilities may be hindered by a lack of quality of service, system quality, and information quality, according to a recent research. This research will enhance McLean and Delone's model by looking at the impact of infrastructure and technology in Arab countries.

Multi-failure detection using device hierarchical attention network

With rapid developments in the information industry, data centers have become increasingly important for collecting and storing data. The devices in data centers are not only connected to external machines to provide a variety of services, but they also store vast amounts of data, as device failures in data centers can result in fatal and heavy economic damage. Various methods have been studied in recent years to effectively predict failures in connected devices. However, in data center-scale systems, there is a problem of low frequency of failure when predicting the failure for each device. In addition, there are complex failures that may occur within the data center owing to a mix of devices and systems, and it is difficult to determine the cause of failure in such cases. In this study, we present a device hierarchical attention network (DHAN) methodology that can predict all device failures by simultaneously using existing device information regarding the devices in the data center. Because the devices in the data center could potentially affect each other, this information regarding the device is used in a composite manner. When using information from a single device, it was observed that failure could be predicted more effectively compared to the results obtained from failure prediction. In addition, by extracting attention information from the DHAN model, we identified a device that plays an important role in predicting the failure of a particular device. Thereafter, we utilized it to cluster and reconstruct the DHAN model and identify the results of predicting failures more effectively. Based on the results presented herein, it is expected that the proposed system can be stably maintained and repaired by identifying the potential impact of the devices.

A compendium of radio resource management in UAV-assisted next generation computing paradigms

Unmanned aerial vehicles (UAVs) have huge potential in empowering new applications in different areas ranging from military to medical applications and traffic control to the entertainment information industry. There has been overwhelming interest in improving UAVs and multi-UAVs frameworks to collaborate and complete all missions efficiently. UAVs can be connected to IoT devices at any time and fulfill their requirements. Because of the constrained onboard resources, there is a need for radio resource management (RRM) in UAV correspondent situations. Optimization plays a significant role in the efficient utilization of these resources and provides services to the network’s edge. This survey presents a comprehensive overview of RRM optimization techniques, including cloud, fog, mobile edge computing (MEC), and cloudlet for UAVs. Further, the mathematical modeling of objectives and constraints discussed in the literature is also presented here. A summary of the challenges while using these computing paradigms is explored. Future research directions on the UAV-assisted network are introduced. In short, this survey provides key guidelines of how various radio resources in different environments are analyzed and optimized using different algorithms and strategies.

Research on the Coupling and Coordinated Development of Sports Tourism and Cultural Industry under the Background of Artificial Intelligence Era

In the new era of rapid development of intelligent information, sports tourism and cultural industry have become a new goal to improve China’s urban competitiveness and realize the development of urban industry. Based on the integration of sports tourism industry and cultural industry, this paper establishes the relevant information data interface mode. This paper constructs the information coupling system model of sports tourism industry and cultural industry under the background of artificial intelligence era and obtains the corresponding data results by using the invisible statistical logic computer independent judgment (IDIJA) method of artificial intelligence system under the condition of incomplete data. The application of the coordinated development system of coupling industry can realize the rapid development of sports tourism and cultural reconstruction mode and achieve the new effect of intelligent sports tourism cultural comprehensive experience. It can not only improve the people’s quality of life but also provide feasible suggestions for improving the continuous development of the coupling and coordination of sports tourism and cultural industry.

Impact of information, communication technology and housing industry on financial market development

The economic growth and development of a country are highly dependent on the performance of the capital market and its financial system, and to have a proper financial system, the development of Information and Communication Technology (ICT) to reduce costs of transactions, as well as the proper functioning of the parallel markets such as housing sector economy is essential. The study aims to investigate the impact of the Information, Communication Technology (ICT), the housing market, and other macroeconomic variables including the inflation rate and exchange rate on the performance of the financial market to survive Iran economy, under economic sanctions and political crises during the years 1994–2020. For this purpose, Autoregressive Distributed Lag (ARDL) method is used to estimate the research model and analyze the collected data. The results show that ICT and the inflation rate had positive effects, while the housing market development and the exchange rate had negative effects on the performance of the stock exchange financial market during the years of economic sanctions and political crises.

Bi-HRNet: A Road Extraction Framework from Satellite Imagery Based on Node Heatmap and Bidirectional Connectivity

Today, with the rapid development of the geographic information industry, automatic road extraction from satellite imagery is a basic requirement. Most existing methods have been designed based on binary segmentation. However, these methods do not consider the topological features of road networks, which include point, edge, and direction. In this study, a topology-based multi-task convolution network is designed, namely Bi-HRNet, which can effectively learn the key features of nodes and their directions. First, the proposed network learns the node heatmap of roads, and then the pixel coordinates are extracted from the node heatmap via non-maximum suppression (NMS). At the same time, the connectivity between nodes is predicted. To improve the integrity and accuracy of connectivity, we propose a bidirectional connectivity prediction strategy, which can learn the bidirectional categories instead of direction angles. The bidirectional categories are designed based on “top-to-bottom” and “bottom-to-top” strategies, which can improve the accuracy of the connectivity between nodes. To illustrate the effectiveness of the proposed Bi-HRNet, we compare our method with several methods on different datasets. The experiments show that our method achieves a state-of-the-art performance and significantly outperforms various previous methods.

Developing a mechanism for agile risk management in telecommunications

Subject. The relevance of this topic is underpinned by the growing number of failures of agile projects due to realization of unique set of risks and the fact that standard agile practices neglect important risk management steps. The paper fills the research gaps in this area and addresses inefficiencies in explicit agile risk management frameworks. Objectives. The aim is to develop a risk control mechanism and tools for flexible projects implemented by information and communication industry (ICT) companies. Methods. The theoretical and methodological basis of the research was the explorations of domestic and foreign scientists in the field of risk management of agile projects. We also applied general scientific research methods, including data analysis and synthesis. Results. We developed the mechanism’s concept and the block diagram for scrum framework. They include risk controlling tools, like risk-based release planning, system of key risk indicators, and agile risk controlling, using the effectiveness evaluation tree. Unlike peers mentioned in existing studies, the mechanism provides a holistic approach to the agile risk management while keeping the agile spirit. It addresses risk governance issues, ensures integration and coordination of risk management activities, both inside the team and across the company, and provides for efficient tools. Conclusions. The developed mechanism can be adapted for other agile frameworks and can be applied by scrum masters and project managers in the ICT industry, as well as by the researches who are interested in further enhancement of agile risk management practices.

The Relation between Intellectual Property Management and Firm Performance of Vietnamese Firms in the Information and Communication Technology Industry (ICT)

Information and Communication Technology (ICT) is a core of the knowledge economy and among the most potential industries of Vietnam for the upcoming years. As in an industry with a high content of innovation and intellectual properties, ICT firms are required to have a wise intellectual property strategy to assure their preposition and sustainable development. Meanwhile, studies on intellectual property of Vietnam have hardly touched upon the management perspective, especially the firm management perspective. Therefore, this study examines the impacts of intellectual property management on firm performance in ICT industry of Vietnam. Intellectual property management is assessed through four levels, namely Awareness, Registration, Exploitation and Management, and Protection. Four measurements of firm performance are profitability, revenue growth, market share and the ability to maintain stable jobs and benefits for employees. Data obtained from 122 Vietnamese ICT firms indicates that each level of intellectual property management has a positive impact on firm performance. The findings provide a scientific basis for improving intellectual property management of ICT firms and Vietnamese firms in general.

Antecedents of employee retention in the Thai information technology industry

The information and communication technology industry is an industry that requires advanced knowledge and skills because of the intense competition. As a result, pressure and stress can create high employee turnover rate, leading to higher competition and higher costs. Therefore, the emphasis should be placed on retaining talented employees to continue working with the organization. The objectives of this research were to study: 1) levels of happiness at work, job satisfaction, organizational commitment, and employee retention in the information technology industry in Thailand; 2)examine influences of happiness at work, job satisfaction, and organizational commitment on employee retention in the information technology industry in Thailand; and 3)develop a model for employee retention in the information technology industry in Thailand. This research employed a mixed research methodology combining quantitative and qualitative methods. For the quantitative research part, the research sample consisted of 180 employees and executives in the information technology industry in Thailand. The sample size was determined based on the criterion of 20 times the observed variables. They were selected via stratified sampling. Data were analyzed with a structural equation model.

Antecedents of employee retention in the Thai information technology industry

The information and communication technology industry is an industry that requires advanced knowledge and skills because of the intense competition. As a result, pressure and stress can create high employee turnover rate, leading to higher competition and higher costs. Therefore, the emphasis should be placed on retaining talented employees to continue working with the organization. The objectives of this research were to study: 1) levels of happiness at work, job satisfaction, organizational commitment, and employee retention in the information technology industry in Thailand; 2)examine influences of happiness at work, job satisfaction, and organizational commitment on employee retention in the information technology industry in Thailand; and 3)develop a model for employee retention in the information technology industry in Thailand. This research employed a mixed research methodology combining quantitative and qualitative methods. For the quantitative research part, the research sample consisted of 180 employees and executives in the information technology industry in Thailand. The sample size was determined based on the criterion of 20 times the observed variables. They were selected via stratified sampling. Data were analyzed with a structural equation model.

Multigenerational product innovation process in electronic information industry: a qualitative study

PurposeDeveloping multigenerational products through iteration helps enterprises cope with environmental uncertainty and maintain lasting competitive advantages in a globally competitive environment. From the knowledge integration perspective, this study aims explore how enterprises achieve multigenerational product innovation.Design/methodology/approachAn exploratory case study design is used to explore the multigenerational product innovation process.FindingsThis study proposes a model of the multigenerational product innovation process and shows that knowledge integration includes two important parts: the internalization of external knowledge and intergenerational knowledge integration. This study further conclude that multigenerational innovation has three main channels: rapid iteration, continuous reflection and coordination.Originality/valueFirst, this study presents a theoretical model of the process of multigenerational product innovation, including triggers, knowledge integration, learning systems and outcomes, and further enhances our understanding from product innovation to multigenerational product innovation. Second, this study contributes to the literature on the multigenerational product innovation process by revealing the knowledge integration process of the internalization of external knowledge and intergenerational knowledge integration.

Research on the Agricultural Machinery Path Tracking Method Based on Deep Reinforcement Learning

With the rapid development of information technology, industry and service industries have achieved rapid development in recent years. Then, looking at the development of agriculture, the popularity of informatization lags far behind industry and service industries, directly hindering the digital development of agriculture. Starting from the current agricultural machinery driving operation scene, this paper carried out a simplified research on the traditional agricultural machinery driving operation method through the agricultural machinery kinematics model, and based on the related theory of deep reinforcement learning to study the agricultural machinery path tracking in the agricultural operation scene, it carried out the controller design, built the agricultural machinery autonomous path tracking framework operating mechanism under deep reinforcement learning, and further researched through experimental design and found that the agricultural machinery autonomous path tracking control can achieve better automatic control after empirical learning. I-DQN algorithm enables agricultural robots to adapt to the environment faster when performing path tracking, which improves the performance of path tracking. It has important guiding significance for further promoting the automatic navigation and control of agricultural machinery to realize the efficient operation of agricultural mechanization.