Information Management Problems Research Articles

Oral storytelling: humanity's first data management system?

Occupation of the foraging niche requires an extensive body of ecological knowledge, and humans rely heavily on social learning to master this curriculum in a safe, efficient, timely manner. This presents a formidable information management problem: In the absence of writing, how did ancestral hunter-gatherer societies accurately store and transmit their accumulated knowledge from generation to generation? Pronounced patterns in forager oral story corpora suggest a partial answer. Cross-culturally, these stories exhibit similar themes, genres, and characters, which in turn map onto critical domains of ecological knowledge. These stories also exhibit pronounced consistencies in their formal properties, predictably utilizing strategies that engage attention (e.g., ostensive communication) and facilitate memorization (e.g., repetition, rhythm, imagery). These patterns suggest that storytelling is an information technology that addresses key problems posed by our entry into the information niche: in conjunction with other forms of symbolic behavior (e.g., ritual, visual art, song, dance, games) storytelling provides a mnemonic framework for encoding accumulated knowledge, rules for faithfully copying it, and regular occasions for refreshing and transmitting it. Collectively, these behaviors may have been instrumental in the emergence of cumulative culture.

Cross-cultural forager myth transmission rules: Implications for the emergence of cumulative culture

For most of human evolution, accumulated cultural knowledge has been stored in memory and transmitted orally. This presents a daunting information management problem: how to store and transmit this knowledge in a portable format that resists corruption. One solution–widespread among foragers–is to encode knowledge in narrative. However, this strategy depends on accurate performance of the story. Significantly, some forager cultures have rules regulating myth performance, although the extent of this phenomenon is unknown. We hypothesize that these rules subserve high-fidelity transmission across generations. Accordingly, we predicted that, across forager cultures, myth-telling rules will mandate: (P1) transmission by the most proficient storytellers (P2) under low-distraction conditions with (P3) multiple individuals and (P4) multiple generations present, and the application of measures that (P5) prevent, identify, and/or correct errors, (P6) maintain audience attention, (P7) discourage rule violations and/or (P8) incentivize rule compliance. To test these predictions, we searched the forager ethnographic record for descriptions of myth performance, and coded them for prescriptions/proscriptions regarding narrator age, performance context, audience composition, narrative delivery, and audience comportment, as well as sanctions associated with rule transgression or compliance. Results indicate that rules regulating myth performance are widespread across forager cultures, and are characterized by features that reduce the likelihood of copy errors. These findings help elucidate the role that anthropogenic ratchets played in the emergence of cumulative culture.

Volunteer Service Participation Emergency Management Information Collection Platform Based on Big Data Technology

In order to fully integrate various emergency management information resources for volunteer service, the author proposes a volunteer service participation in emergency management information collection platform based on big data technology. Taking a municipal government as an example, the current situation of information integration in emergency management is investigated and studied, the needs of various departments are analyzed through interviews and questionnaires, and the problems existing in the government’s information integration are studied. It tries to build a scientific, reasonable, and operational government information integration model based on theories of government information disclosure, government emergency management, and metadata technology. The survey results show the following observation: In the survey results of “the reasons that affect the integration of emergency linkage information of a city government,” the first place is the poor information communication channels between departments, accounting for 22.7%; The second and the third are “administrative system restrictions” and “protection of the interests of the department,” accounting for 21.4% and 19.4%, respectively. It is worth noting that the technical problem of information management is also one of the important factors affecting the government’s emergency response management, accounting for 19.1%. Conclusion. This study analyzes the main shortcomings and reasons of the existing sharing models, so as to construct a reasonable information sharing work model.

Front-End Model of Wireless Network Combined with Artificial Intelligence in Computer Information Management System

To address the security problem of computer information management, an artificial intelligence- (AI-) based information intrusion detection model is built in combination with wireless network. Firstly, the background and characteristics of wireless local area network (WLAN) technology are analyzed, and the relationship between AI technology and deep learning is introduced. Secondly, an intrusion detection model on account of long short-term memory (LSTM) neural network and gated recursive unit (GRU) is constructed after analysis of different neural network models. The L2 weight attenuation and dropout regularization strategies are combined with the neural network model. Finally, an intrusion detection front-end model combining wireless network and AI is established. From the comparison of intrusion detection experiments, the generalization ability of the model can be improved by using L2 weight attenuation and dropout regularization strategies. Nevertheless, the performance improvement is only slight, so the early stop method is adopted instead of the regularization strategy. Compared with the existing classification models, the overall performance of LSTM and GRU models is improved by about 17%. The performance of GRU model is not much different from that of LSTM model, but the amount of computation is reduced. Therefore, GRU model is the optimal choice to construct intrusion detection system. The intrusion detection models in WLAN and GRU can improve the security performance of computer information management system. To sum up, this work provides reference for the development of computer management system.

A convex problem optimization solution for information management in edge computing platforms

AbstractIntelligent computing and social optimization techniques have been used to manage mobile edge (ME) environments for pervasive services. However, the service demand is the prime cause for requiring flawless information management. This article proposes a coherent information management (CIM) process for resolving the convex optimization problems by considering the flaws in raw information management. The information management problem for pervasiveness is defined as a nonlinear problem for user‐to‐information availability. According to the CIM, pervasive convergence is identified for the available information. Furthermore, convolutional neural learning identifies unavailable or utilized information between the service provider and the end‐user layers. This identification improves the training rate for convergence improvement and information coherency. Therefore, the nonlinear pervasiveness is distributed between different service providers, improving efficiency. Therefore, the proposed optimization method achieves a 7.4% high admittance ratio, 8.28% high utilization, 25.25% less allocation time, and 24.4% less waiting time for different availability ratios for different information availability ratios.

Knowledge mapping and visualization of personal information management literature, 1988–2020

This study was designed to examine the structure of the literature on personal information management during the period 1988–2020 through the mapping of author and indexer keywords. The article also examines the volume, quantity and growth of personal information management literature during the period. The Scopus database was searched with the phrase ‘personal information management’ within the title, abstract and keyword fields on 18 February 2021. The annual growth in publications is presented as the number of retrieved documents each year, and the annual growth rate of publications on the subject is analysed. A total of 887 documents have been written on the subject since 1988. The major focus in addressing the problem of personal information management appears to be on technology applications, but research from 2015 onwards starts to address individual factors as they relate to personal information management.

Design and Implementation of Software Platform for AI-ECG Algorithm Research

A software platform for AI-ECG algorithm research is designed and implemented to better serve the research of ECG artificial intelligence classification algorithm and to solve the problem of subjects data information management. Matlab R2019b and MySQL Sever 8.0 are used to design the software platform. The software platform is divided into three modules including data management module, data receiving module and data processing module. The software platform can be used to query and set the subjects information. It has realized the functions of data receiving, signal processing and the display, analysis and storage of ECG data. The software platform is easy to operate and meets the basic needs of scientific research. It is of great significance to the research of AI-ECG algorithm.

Knowledge Management System Adoption to Improve Decision-Making Process in Higher Learning Institutions in the Developing Countries: A Conceptual Framework

Currently, higher learning institutions (HLIs) are facing their most challenging problem in inefficient information management. The knowledge management system (KMS) application calls for providing several benefits to lecturers and students, producing daily information, documenting records for evidence of a transaction, and eventually improving the decision-making process. Knowledge management can be coupled with fuzzy logic to deal with imprecision and uncertainty of data in a KMS. The ICT dynamic development has shifted the HLI operations from manual to electronic-based handling of related information. KMS is one of the systems that are of significant consideration in this regard. Nevertheless, such a system has not been extensively adopted as expected due to users’ rejection of its use. In the present paper, the factors affecting the decision to adopt/reject KMS are highlighted. The study is qualitative and entails a critical review of the related literature concerning the topic, backed by interviews. KMS experts working with highly reputable HLI were interviewed. A total of 11 factors were focused on in light of their effect on the decision to adopt/reject KMS, as argued by the technological adoption theories and literature review. All the factors were validated and placed in ranks by the experts. From the results, a novel conceptual framework of KMS adoption was developed for Libyan HLIs to bring about technology adoption and improved decision-making.

Information Management as a Factor in the Transition of the State from the Information Economy to the Digital Economy

The purposeof the article is to present the author’s approach to the study of information management when making managerial decisions by public administration bodies. In this paper, information management is consistently considered as an object, subject and method of information management. By the example of the content and correlation of such concepts as data and information, information and knowledge, the main obstacles to the transition of the state from the information economy to the digital economy are shown. The hypothesis is formulated that effective information management does not so much contribute to the formation of the added value of management processes, as it creates the potential for obtaining additional value of a management decision as an information product.Materials and methods. The research is based on the analysis of the processes of informatization of society and the state, as well as the analysis of the possibilities of information management for building a digital infrastructure and effective interaction of the subjects of the digital economy. Various aspects of information management are disclosed in accordance with the “subject-object-subject” and “subject-object-object” models. The problems of determining the quantity and quality of information are revealed in comparison with the attributive, functional-cybernetic and semiotic concepts of information. The information base of the research was made up of the results of scientific research in the field of decision-making in public administration and methodological approaches to information management used in science.Results. The main risks and problems of information management in decision-making by public administration bodies were identified. It is determined that knowledge becomes an economic resource not at the stage of its production, but at the stage of use. This resource allows you to create the added value of a management solution as an information product. It is proved that the role of the state in the dissemination and use of knowledge is provided by the unconditional desire of the individual to produce new knowledge. In addition, it is shown that for the transition to the digital economy, the state needs to create an information infrastructure in which openness and transparency of data are combined with equal opportunities for individuals in the economy (inclusive economy).Conclusion.Information management is a significant factor in the transition of the state from an information economy to the digital one. The simple accumulation of information and knowledge cannot be a guide for the transition to the digital economy. Information management from the perspective of creating and using additional information value will avoid the risk of mechanical informatization and uncontrolled digitalization. The state activities in this direction should be responsible and consistent. The volume of information increases as a result of the individual’s desire to produce new knowledge, but the social value of knowledge increases as a result of the effective impact of the state on the development of information infrastructure and the diffusion of information technologies. Thus, the realization of the potential of the additional value of information and its scaling on the basis of state-supported platform tools will allow for the transition from the information economy to the digital economy.

Three-Dimensional Design Method of Overhead Transmission Line Based on BIM Technology

Because of the high complexity and large scale of transmission line engineering, a large amount of data will be generated in the traditional two-dimensional (2D) design process, and the work of each stage is relatively independent. The design results are difficult to be effectively managed and integrated, and timely information interaction within and between specialties can not be achieved. BIM (Building Information Modelling) technology has powerful functions of digitalization and information management. This paper studies the application of BIM technology in three-dimensional (3D) design of overhead transmission lines. With the help of Revit platform and secondary development technology, combined with “Xinfu 110 kV transmission and transformation” project, a standardized family library of overhead transmission lines is established, and a set of algorithms for automatic sorting of insulator strings and automatic generation of overhead lines are developed, which realizes the parametric design of the lines in 3D environment. The whole process is centered on BIM information model database, which solves the problem of information management and interaction in traditional 2D design, and improves the design efficiency and quality.

“Striking out on your own”—A study of research information management problems on university campuses

AbstractHere, we report on a qualitative study that examined research information management (RIM) ecosystems on research university campuses from the perspectives of research information (RI) managers and librarians. In the study, we identified 21 RIM services offered to researchers, ranging from discovering, storing, and sharing authored content to identifying expertise, recruiting faculty, and ensuring the diversity of committee assignments. In addition, we identified 15 types of RIM service provision and adoption problems, analyzed their activity structures, and connected them to strategies for their resolution. Finally, we report on skills that the study participants reported as being needed in their work. These findings can inform the development of best practice guides for RIM on university campuses. The study also advances the state of the art of RIM research by applying the typology of contradictions from activity theory to categorize the problems of RIM service provision and connect their resolution to theories and findings of prior studies in the literature. In this way, the research expands the theoretical base used to study RIM in general and RIM at research universities in particular.

Massive-scale carbon pollution control and biological fusion under big data context

In the modern society, there are a rich number of low-carbon enterprises that the explicitly/implicitly collaborated. Effectively understanding the mechanism of their complex cooperative relationships is becoming an urgent and significant problem in information processing and management. Traditionally, these cooperation behavior are analyzed in a holistic and non-quantitative way, where the complicated relationships among various enterprises cannot be well represented. In this work, we propose to understand the low-carbon entrepreneurs’ cooperation by leveraging a massive-scale dense subgraph mining technique, based on which an evolutionary graphical model is built to dynamically represent such complex relationships. More specifically, given million-scale low-carbon enterprises, we first extract multiple biologically-aware features (e.g., production value and carbon emission) to represent each of them. Based on this, a massive-scale affinity network is constructed to characterize the relationships among these enterprises. Based on this, an efficient subgraph mining algorithm (called graph shift) is deployed to discover the neighbors for each enterprise. Finally, based on the discovered neighbors of each enterprise, we can build a graphical model to represent the relationships among explicitly/implicitly-connected enterprises. The flows of multiple attributes (benefit exchange and resources swap) can be modeled effectively. To demonstrate the usefulness of our method, we manually label the attributes of 20,000 enterprises, based on which a classification model is trained by encoding the neighboring attributes of each enterprise. Comparative results have clearly demonstrated the competitiveness of our method. Moreover, visualization results can reveal the effectiveness of our method in uncovering the intrinsic distributions/correlations of million-scale enterprises.

Government Data Resource Sharing Application System Based on Big Data Technology

The government affairs system based on big data technology is an advanced stage in the development of e-government. In this stage, with the help of big data platforms in the information age, through the large-scale use of modern communication equipment and the Internet, a new government management mode and management thinking are created, and then through the above way to promote information sharing. The connotation of intelligent government is information sharing, reducing government departments' office threshold to achieve information transparency and openness. Based on the above background problems, this paper analyzes the current government information management problems and the lack of resources sharing, and the problems existing in the concept of government personnel. On this basis, the current government system is analyzed. The feasibility and demand analysis of the current government system is put forward from engineering thinking to pave the way for designing the next GDRSAS(government data resource sharing application system). Finally, the design and construction of the GDRSAS are carried out, and in-depth analysis is carried out. The system can make more reasonable sharing application of government resources information under significant data background.

Information management research and practice in the post-COVID-19 world

COVID-19 has radically transformed many aspects of human life and global society both now and for many years to come. A key aspect of the transformation has been increased digitalization and the accelerated implementation of previously predicted trends that have been discussed for many years in the information management literature. Human endeavour has encouraged us to adapt to the “new normal” through immediate necessity in areas such as work, education, healthcare, entertainment and leisure, and online commerce. This new environment has provided unprecedented opportunities for the information management research community to develop research that will have a significant impact on practice in these and other areas. We are essentially at the pinnacle of new developments in the digital space and must seek to develop exemplars that can help to signpost the future direction of digital global society for the benefit of all. Notwithstanding, the problems of digitalization have also been exacerbated and must be further understood and ameliorated in the post-COVID world. This paper examines opportunities and problems in information management brought about by the COVID-19 pandemic. It details implications for research and practice.

Engineering Cost Information Management in Big Data Era

With the development of Chinese society, the era of big data and the increasing informatization, information and scientific systems have gradually formed in various fields and enterprises, but the process of improving company management has also received great challenges. Especially in the engineering cost industry, to comply with the requirements of the times, it is necessary to change the previous management method, but the era of big data has also brought new opportunities and opportunities to engineering cost management. The goals of the engineering cost industry, how companies can fully use the advantages of big data in engineering costs, solve related problems, and improve the overall social and economic benefits by means of data and information technology have become in-depth discussion questions. The purpose of this article is to study the problem of information management of engineering cost in the era of big data. By establishing a unified cost data collection standard on the basis of big data, the quality of data collection is improved, which facilitates the classification and processing of subsequent data, increases the source of data collection, and improves the quality of data. Improve the competitiveness of project cost management. Strengthen data mining and analysis, lower the threshold of data management, so that more project cost management staff can master. Based on the analysis of the needs of the platform, the frontline project cost personnel of the construction unit and the engineering cost consulting unit were the main survey objects, and it was found that most people have not worked for five years. And 62% of the engineering cost workers still get the latest project cost information from the project cost information journals and websites responsible for the cost station.

Research on University Information Management in the Era of Big Data

As more and more industries begin to apply big data technology, we begin to see big data frequently in our lives. McKinsey said: "data has penetrated into every industry and business function field, and become an important production factor." This paper mainly describes the current situation and some possible problems of university information management in the era of big data, and puts forward corresponding solutions. I hope that the university can make better use of big data technology in information management in the wave of rapid development of big data

Network Euphoria, Super-Information Systems and the West German Plan for a National Database System

Abstract Much attention has been devoted to planning as the key concept in political discourse of the Federal Republic from the mid-1960s to the mid-1970s. Much less attention has been paid to the closely related notion of information. At the turn of the 1970s, one of the most important initiatives of the West German government in the informational domain was a proposed national database network. The conception of politics that underlay this project bundled the utopian aspirations associated with the use of computers to integrate and analyse information with the conviction that more, better and different kinds of information would make complex, industrial societies like the Federal Republic more governable. The West German database network embodied two complementary modernist visions: the dream of total data integration and the antithetical but equally seductive documentarian belief that the problems of information management could be solved by reducing the symbolic field within which information was always embedded to stable, elemental units of meaning. However, the plan for a national database network collapsed before it could even fully make it onto the drawing board. This article argues that the project failed not because of privacy concerns, but because these modernist visions quickly ran up against limits that were as much political and conceptual as technological. In the end all that was left was a documentation system for the federal government in which the connections to social planning, which had provided much of the original impetus for the system, had all but disappeared.

Implementation of Machine Tool Remanufacturing Management System

Aiming at the information management problems of machine tool information, remanufacturability evaluation information, parts information, processing technology and remanufacturing design information in the process of used machine tool remanufacturing, a web-based machine tool remanufacturing management system was developed. The system can flexibly and efficiently manage all kinds of information data in the process of machine tool remanufacturing, and satisfy the function of user’s remanufacturing evaluation and design. The system is mainly consisted of the four functional modules and related model databases including machine tool information management, estimation of remanufacturing cost, assessment of remanufacturing process resource environment property and remanufacturing processes management. The implementation of the system effectively helps enterprises to solve the problem of information processing in the whole remanufacturing process, and realizes the standardization of the process.

Development of a Neuro-Fuzzy System for Assessing Information Management on the Shop Floor

Communication problems are directly or indirectly related to the causes of industrial accidents. This may be associated with problems in information management at the operational level. Before evaluating information management on the shop floor, a documentary analysis was carried out in this study to identify problems in the communication among the causes of 5 accidents in the oil sector in Brazil. After documentary analysis, an adaptive neuro-fuzzy inference system (ANFIS) was developed to assess information management on the shop floor. A case study was developed with a sample of 120 respondents through the application of a survey. Managers, supervisors, and operators from a land-based oil production region participated in this study. The documentary analysis identified communication problems in 53% of the reports. The neuro-fuzzy model performed well, with the root mean square error (RMSE) being 0.229 in training and 0.296 in data verification. The results suggest that the ANFIS method can be successfully applied to establish a model of analysis of information management on the shop floor.

Co Evolution of Information Society and Online Community: Concepts and Communication Practices

The impact of the Internet on the life of society is growing on a global scale, while it remains an uncontrolled area of interaction for various online communities, which requires further investigation. The purpose of the article is to conceptualize the notion of “co evolution of information society and online community” based on the theories of information society and analysis of communication practices. The objectives are to establish the factors of successful development and assess the prospects of this type of co evolution. The research uses both theoretical and practical approaches. A dialectical method was the main method of philosophical reflection. Community informatics is another scientific approach (M. Gurstein, D. Loader). To explain the phenomenon of integrity of technology and social networks in complex socio-technical systems, the actor-network theory (ANT) of Bruno Latour was used. This article gives a definition of co evolution as joint commensurate development of non-identical information processes and online communities. In the course of co evolution, “junction points” and “bifurcation points” were revealed and its social effects and prospects were assessed. The factors in successful development of the process of the information society and the online community co evolution were assessed: knowledge, technology, and information management. The conclusion about a common pace of the information society and the online community development not having been set was substantiated. The growing influence of online communities on society and a simultaneous trend towards secrecy and transformation into a new kind of social groups is a megatrend in the information society development. The results obtained are of practical importance in studying the problems of information management in the global network and regulating the activities of online communities.