Field Of Information Management Research Articles

Pred-ID: Future event prediction based on event type schema mining by graph induction and deduction

In the field of information management, effective event intelligence management is crucial for its development. With the continuous evolution of events, predicting future events has become a key task in information management. Event Prediction aims to predict upcoming events based on given contextual information. This requires modeling events and their relationships in the context to infer the structure of future events. However, the existing event prediction methods ignore that the event graph schema based on core events can provide more knowledge about history and future for event prediction through induction and deduction, so as to achieve accurate event prediction. In addressing this issue, we directed our focus towards Event Schema Induction. Inspired by it, we propose the Pred-ID model, designed to build event evolutionary pattern through Inductive Event Graph Generation, Deductive Event Graph Expansion, and Graph Fusion for Event Prediction. Specifically, in the Inductive Event Graph Generation phase, Pred-ID extracts the event core subgraph and event developmental trends from the instance event graph, learning the global structure and uncovering the main processes of event development. Then, in the Deductive Event Graph Expansion phase, by expanding future event node and stretching the main processes of event development into future directions, Pred-ID obtains deductive results, so as to construct the event evolutionary pattern. Finally, in the Graph Fusion for Event Prediction phase, aligning and merging the event evolutionary pattern with the instance event graph enables collaborative prediction of future events. The experimental results indicate that our proposed Pred-ID achieves optimal performance in event evolutionary pattern generation and event prediction tasks.

Data Security and Privacy Protection in Health Information Management: Challenges and Solutions

This study provides a comprehensive review of the current trends and future challenges in the field of Health Information Management (HIM). With advancements in technologies such as big data, cloud computing, and artificial intelligence, the global health information management market is projected to experience rapid growth. Research indicates that HIM not only enhances the efficiency and quality of healthcare services but also contributes to improvements in public health and medical services worldwide. However, despite these significant advancements, the field continues to face numerous challenges, including patient data privacy and security, optimization of user interface design, and the demand for personalized information services. Therefore, this study focuses on these core issues and reviews related research in the field of health information management. It analyzes the advantages and limitations of various methods and technologies and predicts future development trends. Consequently, interdisciplinary collaboration, technological innovation, and personalized services are expected to be key directions for future development. This study not only reviews current trends and challenges in health information management but also provides strategic insights and innovative approaches that contribute to advancing the field, setting the stage for future research and practical improvements in data security and privacy.

Advancing Cataloging and Classification Education in Bangladesh: A Comprehensive Analysis of LIS Curriculum Evolution and Curriculum Coverage

This study examines the state of cataloging and classification (C&C) education in Bangladesh’s Library and Information Science (LIS) programs. Employing content analysis of course syllabi and surveys, it identifies aims, objectives, curriculum content, and challenges. Findings reveal comprehensive coverage of C&C theory and practical skills, though average credit hours are low at 1.12% of total programs. Variations exist among universities in credit allocation and curricular emphasis. Recommendations include increasing credit hours, integrating emerging technologies, enhancing practical training, updating curricula, and investing in faculty development. Implementing these strategies will improve C&C education, producing skilled professionals in the information management field.

Driving Success Through SIM: A Critical Analysis Management information Systems Influence on Decision-Making Processes

In this journal, we explore the influence of Systems Information Management (SIM) on decision-making processes in organizations. The aim is to conduct a critical analysis of the contribution of SIM in increasing the effectiveness of decision making. The research method used is literature analysis from various sources such as scientific journals and related articles. The results show that effective implementation of SIM can speed up the decision-making process, increase information accuracy, and enable managers to make more timely decisions. In conclusion, SIM plays a vital role in organizational success through informed decision making. The implications of this research emphasize the importance of continuing to improve SIM implementation to support better decision-making processes in facing increasingly complex business challenges. The results of this study can provide valuable insights for practitioners and researchers in the field of information management.

Developing conceptual model for safety risk management in aviation as building capacity and resilience strategy

Purpose This study aims to develop an inclusive, multidisciplinary, flexible and organizationally adaptable safety risk management framework, including diversity management, that will be implemented to ensure safety is and remains at the desired level. If the number of incidents and potential incidents that could lead to accidents and their impact rates are to be reduced operationally and administratively, aviation safety risks and sources of risk must be better understood, sources of risk identified, and the safety risk management framework designed in an organization-specific and organization-wide sustainable way. At this point, it is necessary to draw the conceptual framework well and to define the boundaries of the concepts well. In this study, a framework model that can be adapted to the organization is proposed to optimize the management of risks and provide both efficient and effective resource allocation and organizational structure design in its operations and management functions. Design/methodology/approach The qualitative research method – triple techniques – was deemed appropriate for this study, which aims to identify, examine, interpret and develop the situations of safety management models. In this context, document analysis, business process modeling technique and Delphi techniques from qualitative research methods were used via integration as the methodology of this research. Findings To manage dynamic civil aviation management activities and business processes effectively and efficiently, the risk management process is the building block of the “Proposed Process Model” that supports the decision-making processes of aviation organizations and managers. This “Framework Conceptual Model” building block also helps build capacity and resilience by enabling continuous development, organizational learning, and flexible structuring. Research limitations/implications This research is limited to air transportation and aviation safety management issues. This research is limited specifically to a safety-based risk management framework for the aviation industry. This research may have social implications as source saving, optimum resource use and capacity building will make a contribution to society and add value besides operational and practical implementation. Social implications This research may contribute to more safe operations and functions in the aviation industry. Originality/value Management and academia may gain considerable support from this research to manage their safety risks via a corporate-tailored risk management framework, both improving resilience and developing corporate capacity. With this model presented, decision-makers will have a guiding structure that can optimally manage the main risk types that may be encountered in the safety risk in the fields of suppliers, manufacturers, demand changes, logistics, information management, environmental, legal and regulatory. Existing studies in the literature are generally in the form of algorithms and cannot be used as a decision-making support tool. This model aims to fill the gap in the literature. In addition, added value may be created by applying this model to optimum management safety risks in the real aviation industry and its related sectors.

The application of database systems in information management

Database technology has always been a focal point of interest for enterprises and organizations in the field of information management. With the continuous growth and diversification of information, effective information management has become crucial. This paper aims to explore the extensive applications of database systems in information management. Firstly, the paper reviews relational and non-relational databases. Subsequently, it delves into the current applications of database systems in various domains, including enterprise management, retail, education, and government and public services. In the realm of enterprise management, database systems provide a solid foundation for information management by ensuring the timeliness, accuracy, and reliability of data. In the retail industry, they support inventory management, sales analysis, and enhance the user experience. In education, database systems are used for student information management, teaching data analysis, and online learning. In the government and public services sector, they facilitate information sharing and data transparency, while playing a critical role in crisis management and emergency response. This paper highlights the significance and diverse applications of database systems in different domains, offering insights into the current research trends and future prospects in this field.

Investigating health and treatment measures during the Arbaeen procession 2022: A qualitative study.

The Arbaeen procession is one of the largest religious gatherings in which tens of millions of people participate every year. The presence of many people in this religious gathering highlights the necessity of planning to reduce incidents related to pilgrims in the field of health and to ensure their timely access to health and treatment services. The current research was conducted with the aim of investigating and analyzing the health field in the Arbaeen procession of 2022. This was a qualitative study, in which in-depth and semistructured interviews were conducted. The target population comprised healthcare policymakers, managers, and providers of the Arbaeen procession in 2022. The interview and data collection guide were developed using the World Health Organization's recommendations. Data collection was continued till data saturation. Directed content analysis was used to analyze the data. Different strategies were applied to increase the validity and reliability of the results of this study. Data saturation was reached after 33 interviews. In total, eight main topics were identified, including follow-up of disease and trauma, promotion of public health, education and health system, cooperation and coordination in the field of health, information and communication management, response operations, support and resource management, and security and safety. Essential health issues in Arbaeen procession were identified in this research, which may be considered as an evidence-based guide for planners, planners, and executive managers of this religious community. The findings of this research may be used in other marches and public gatherings.

ЗНАЧЕННЯ ПОЛІТИЧНИХ ІНСТИТУТІВ ДЛЯ СТАНОВЛЕННЯ ІНФОРМАЦІЙНОЇ ДЕРЖАВИ

The main focus of research efforts is aimed at finding institutional criteria, which allows classifying a certain state as an informational state, distinguishing it from the abstract concept of an information society. The purpose of the publication is to determine the fundamental role of political institutions in the establishment of an informational state and to identify current approaches to its constitution in the political sphere. The author investigates the essence and role of institutions in the state and society, as well as their influence on the political process. It is argued that effective political institutions are particularly important for the functioning of democratic political regimes, as they must ensure that public institutions act clearly in line with their legal powers complying with the principles of transparency and accountability. The article describes one of the first attempts to measure an indicator of the state’s «informationality», which was carried out by the Tokyo Research Institute RITE. The article highlights the process of institutionalization of the information society within the boundaries of the European Union. It has been traced that measures to institutionalize the information state on the European continent began at the end of the 1990s. They implied development and adoption of strategic documents to determine the principles of state policy in the field of information management and implementation. Further steps to formalize the institutions of the informational state included liberalization of telecommunications and normative consolidation of social guarantees for citizens.

Gatekeeping structures and trust development in public sector organizations

PurposeThis paper aims to examine the interaction between gatekeeping and trust in a public sector organization, where employees at lower hierarchical levels are expected to autonomously translate and transform directives into public services. This requires them to have access to operational steering information, i.e. information about directives and how to interpret and apply them. This study focuses on how gatekeeping structures regulate flows of operational steering information and how the gatekeeping structures affect the development of trust.Design/methodology/approachThe research design is qualitative. The data material consisted of semi-structured interviews with 26 employees in home care and schools and of eight complementary nonparticipant observations. Thematic analysis revealed the presence of static and dynamic gatekeeping structures, which are characterized by fixed and variable arrangements of information sources and channels, respectively.FindingsIn static gatekeeping structures, managers or domain experts typically act as gatekeepers, and employees also perform gatekeeping activities collectively. Gatekeeping structures allow employees to switch between acting as gatekeepers and being gated, depending on the situation. The results show that gatekeeping structures for intermediation of operational steering information may support or impede employees' work, thus affecting their trust in their peers and their work organization.Research limitations/implicationsAlthough the present study included both interviews and observations, these primarily occurred within scheduled and prearranged activities rather than capturing the nuances of the typical daily work of teachers and home care employees. As a result, certain perspectives may have been unintentionally omitted.Practical implicationsThe participants were recruited through the City of Oslo contact people, which may have impacted their status or perception in some way. Moreover, the study was conducted in the City of Oslo, a specific organization with its own unique set of values, norms and processes. The trust-based management in the City of Oslo is likely not representative of all public sector organizations.Originality/valueThis study contributes conceptually by introducing gatekeeping structures and operational steering information and empirically by providing evidence of their relationship to trust development in public service delivery. Thus, it contributes to the research fields of information management and public administration.

Use Case Point Methods For Analysis of Software Development Cost In Information Communication Technology Units of Khairun University

The Information and Communication Technology Unit (ICTU) is a technical implementation unit in the field of information and communication technology development and management. Currently, Khairun University's ICTU is undertaking a software development project, one of which involves creating an application called "Permata". In the process of developing this application, one of the common challenges faced is estimating the project costs for software development, as the developers do not yet have a standard method to determine the costs of software development. The objective of this research is to produce a Use Case Point application for estimating the costs of software development at ICTU, Khairun University. The Use Case Point (UCP) method is derived from the Function Point Analysis (FPA) method and aims to provide a simple estimation method oriented toward software project objects. The software objects involved in this method are Actor Types (UAW), Use Case Weight (UUCW), Technical System Development Complexity (TF), and Development Environment Complexity (EF). The estimated time value for developing the Permata application is 1,389.844855 man-hours, equivalent to approximately 1.904 months. The estimated cost for the Permata application is Rp129,099,127.

Analisis Pengelolaan Dokumen di Departemen Pemasaran Kompas Gramedia

This research aims to analyze document management in the Marketing Department of Kompas Gramedia using the case study method and qualitative approach. By collecting primary data from observations, interviews and documentation, as well as secondary data from literature studies, this research identified a number of relevant findings. The research results show that the Kompas Gramedia Marketing Department has successfully implemented an organized document storage and archiving system, both in physical and digital form, with clear labels and categories. This has increased operational efficiency, collaboration and productivity within the department. However, research also reveals several obstacles in document management, such as data input errors, inappropriate document placement, and an excessive number of documents. The proposed solution includes training, system optimization, clear division of tasks, and capacity management to overcome the problem. By implementing these solutions, the Marketing Department can increase the effectiveness of document management, reduce related errors, and maintain smooth operations. In order to increase understanding of the effectiveness of document management in organizational environments, this research provides valuable insights. In addition, the research results can contribute to the field of archives and information management and provide guidance for other organizations facing similar challenges in document management.

Research on the sharing platform of college instructional resources based on blockchain technology

The integration of instructional resources in colleges is gradually entering the innovation era from electronic and information technology. A new issue that has emerged is the storage and reading of electronic instructional resources in colleges. Additionally, with the rapid development of blockchain technology, its use in numerous fields has burgeoned. In the information management field, confidential and reliable technologies are still needed to help manage resource storage. Blockchain, which is immutable and untrusted, can be well applied in the establishment of an educational resource sharing platform in universities. The main focus of this paper is as follows: first, to analyze and compare the three educational resource sharing systems proposed by Chinese scholars, enumerate the main contents and functions of each system, compare and analyze the differences of the three systems, and secondly, to put forward the construction framework of a new educational resource sharing platform according to the disadvantages still existing in the three systems. The paper also explores the research on college instructional resource sharing platforms using blockchain. It uses blockchain techniques to build an educational resource sharing system, provides a reliable platform with high security and traceability through intelligent contract technology, and connects user groups through "alliance chain + private chain". Its aim is to facilitate efficient use by users of different levels. The advantages of using blockchain technology to construct a sharing platform for university educational resources have practical significance in further promoting educational informatization.

Key Technology of Distributed Memory File System Based on High-Performance Computer

With the rapid development of computer technology, distributed systems have become an indispensable part of the field of information storage and management. In the process of large-scale data processing, it is an important issue to compress or replay files to ensure their integrity. In order to solve the problem of large-scale computing resources and data storage, the distributed file system emerged as a new system structure. The purpose of this paper to is study the key technologies of the distributed memory file system of high-performance computers is to improve the capability and efficiency of the distributed system. This paper mainly uses the experimental method and the comparative method to analyze the key technology of the distributed memory file system of the high-performance computer. Experimental results show that the maximum bandwidth value of DFMS in file memory processing can reach more than 2000, and the value becomes more stable as the file increases.

Critical Hard Skills for Information and Knowledge Management in South Africa

Hard skills are central to achieving efficiency and productivity and are critical for demonstrating competency in many socioeconomic setups. The challenge, however, is that there is a plethora of conceptualisations of hard skills depending on the context in which they are considered. Many fields have explicitly itemised the hard skills relevant to success. However, this is not the case with the Information and Knowledge Management (IKM) field due to its multidisciplinary nature. Understanding specific hard skills needed is vital because it facilitates the development and advancement of a given profession. The lack of a clearly understood combination of hard skills means that IKM cannot grow and be at the centre of the 4IR. Consequently, IKM will not adequately contribute to socioeconomic development. This study aimed to understand specific hard skills relevant to contemporary IKM practitioners, especially in the South African and contextually similar contexts. The study used a Delphi study approach where experts shared their opinions in two rounds of data collection. Ninety-seven skills were identified; however, a consensus was reached on 23. This study serves as a stepping stone toward creating a framework fit to guide IKM practitioners on their journey to success. The framework will also act as a guide for students through identifying the hard skills that need to be developed early while still in their schooling career. Furthermore, the framework can act as a guide for curriculum development.

Integrating System Analysis, Information Management, and Decision-Making: Legal Perspectives and Challenges

This article examines a key legal issue related to the integration of system analysis, information management, and decision-making, focusing on data privacy. The study employs a literature review, comparative analysis, and policy analysis to investigate the current legal frameworks, approaches taken in different jurisdictions, and potential solutions. Our findings reveal that inconsistencies in data privacy regulations and challenges in compliance significantly impact stakeholders in these fields. We propose several potential solutions, including the harmonization of data privacy laws, the adoption of privacy-enhancing technologies, and the implementation of education and training programs. Policymakers and stakeholders should adopt a proactive approach and foster international cooperation to create an environment that enables innovation while safeguarding individual privacy rights. This article contributes to the understanding of the legal challenges and implications in the rapidly evolving fields of system analysis, information management, and decision-making.

Internet of things application in automated resource management systems

The article summarizes scientific knowledge about the state and potential of the development of the Internet of Things (IoT) industry in Ukraine and analyzes already implemented initiatives to promote its spread in the areas of health care and urban management. The study aims to systematize and analyze the available scientific information about the opportunities and potential revealed by integrating the ERP system and the Internet of Things as a convergent management technology. Based on the research results, a model of combining Internet of Things technologies and resource management of companies in ERP systems is presented; the advantages provided by the integration of IoT and ERP systems are systematized; the problems associated with determining the economic efficiency of the integration of IoT and ERP systems are summarized based on the analysis of applied cases in the areas of health care and urban management. The research used methods of systematization, meta-analysis, and synthesis of research from the fields of information technologies, economics, management, and law. In addition, a case analysis was used to understand the practical aspects of the implementation of convergent technologies based on the combination of management and information technologies. Attention is focused on the fact that future directions of research are related to the expansion of technical capabilities for processing large volumes of IoT data from connected devices and applications to create integration between devices and control systems at enterprises; development of networks and protocols to eliminate performance gaps, provide valuable information on improving customer interaction, speed up customer problemsolving processes, and expand the capabilities of the IoT as a service management technology. Most cloud-based ERP applications with IoT elements have specific requirements for functionality and quality of service, including communication, computing, and data storage. Meeting these requirements can be challenging, especially regarding network performance, resulting in bottlenecks in real-time application performance.

Determinants of overall user success in an academic digital library environment: validation of the integrated digital library user success (IDLUS) model

PurposeDigital Libraries are complex, and this complexity is a motive to study user success on the behalf of appropriate user success models. These models comprise the factors which play a part between people, technology and organizations. The purpose of this study was to specify and examine an integrated digital library user success (IDLUS) model within the context of digital library settings, Higher Education Commission National Digital Library (HEC-NDL) of Pakistan, by adopting and reusing the existing digital library and Web success models.Design/methodology/approachStratified random sampling technique was used to choose the sample from the University of the Punjab, a highly ranked public sector university in Pakistan. Participants were asked to complete an adapted survey questionnaire. A total of 355 completed and usable questionnaires were obtained. Data analyses through confirmatory factor analyses and structural equation modeling produced the results that have supported the proposed IDLUS model. The proposed IDLUS model was tested and supported through model fit statistics in the academic computing environment of the HEC-NDL of Pakistan.FindingsFindings revealed that relationships between the latent variables hypothesized in the model were confirmed.Research limitations/implicationsThe study has both theoretical and practical ramifications for academicians and information system designers and developers.Originality/valueThe IDLUS model is recommended first time in the history of librarianship in Pakistan as an overall user success model in the digital library information system computing environment. That made numerous recommendations for future research in the field of information management, particularly for digital library development at national and international levels.

Educational Needs of Healthcare Providers for Maternal and Newborn Care During Disasters in Iran

Background & Aims Healthcare providers are responsible for providing services to mothers and infants during disasters. The purpose of this study is to determine their educational needs for maternal and newborn care during disasters in Iran. Materials & Methods This is a cross-sectional study that was conducted in 2017 on 208 healthcare providers (nurses, practical nurses, and midwives) from nine armed forces hospitals in Tehran, Iran who were selected by a census method. The data collection tool was a researcher-made questionnaire with acceptable face validity, content validity, and structure, with a Cronbach’s alpha of 0.94. The data were analyzed using descriptive and inferential statistics in SPSS software, version 16. Results The mean score on the educational needs assessment scale was higher in the fields of sexual violence management (4.30±0.01) and information management (4.28±0.01), indicating the high need for education in these areas. The lowest scores were in the fields of postpartum care in newborns (2.19±0.96) and responsiveness (2.98±0.89). In total, the educational needs of healthcare providers were high (3.3±0.43). Conclusion The readiness of healthcare providers in Iran to provide maternal and newborn care during disasters is low and needs more attention. Therefore, it is recommended to compile and revise university educational programs and implement continuous education programs based on the results of this study in the proposed areas (especially sexual violence management and information management) in a regular, periodic, and continuous manner.

Multi-lingual opinion mining for social media discourses: an approach using deep learning based hybrid fine-tuned smith algorithm with adam optimizer

Multi-lingual opinion mining has become an important research area in natural language processing, particularly in the context of social media, as it provides valuable insights from user-generated content. In this paper, a deep learning approach based on a hybrid fine-tuned Smith algorithm with Adam optimizer (HFS-AO) is proposed for multi-lingual opinion mining. The approach can process three different languages, namely Marathi, Hindi, and English, which are collected from various web resources using a web scraping algorithm. The collected data is annotated using the Zero-shot instance-weighting technique and pre-processed to remove unnecessary noises and symbols, including data transformation, data cleaning and reduction, stop-word removal, tokenization, lemmatization, stemming, and Parts of Speech Tagging (POS). Naive Bayes vectorization with Laplace smoothing is used for text vectorization, followed by feature selection and classification using the hybrid fine-tuned Smith algorithm with Adam optimizer for polarity classification.The proposed method of multi-lingual opinion mining using a deep learning approach based on a hybrid fine-tuned Smith algorithm with Adam optimizer is effective in extracting valuable insights from social media data in different languages. The approach has demonstrated high accuracy, precision, recall, and F1-Score values, making it a useful tool for improving performance and customer satisfaction by identifying patterns and trends in public opinion.Additionally, the proposed method outperforms other existing methods, including PGM, MCM, CNN, and NBi-LSTM, in terms of computational time and performance making it a valuable contribution to the field of information management.

Knowledge development in non-fungible tokens (NFT): a scoping review

PurposeThe purpose of this paper is to investigate the potential of NFTs in revolutionizing innovation management and information systems. Innovations done by firms are blatantly used by other firms to develop cheap knock-off. This leads to huge economic loses to the firm investing in research and development activities. Firms are in need of trusted, immutable and verifiable means of storing information which cannot be used by others, even if publically available without their consent. Non-fungible tokens (NFTs) appear to be one such solution to this problem that has recently attracted a lot of investor interest. Using NFTs the information is tokenized and is stored in a secure manner.Design/methodology/approachThrough this scoping review, the authors investigate the influence of NFTs towards the innovation management from the dual aspects of management and information systems. This scoping review is underpinned by the five-stage framework by Arksey and O’Malley. The five stages of Arksey and O’Malley’s framework were used in this analysis to classify the literature through five stages of identifying the initial research questions; locating relevant studies; study selection; charting the data; and compiling, summarizing and reporting the results.FindingsThis study suggests that NFTs on the blockchain have significant potential to revolutionize innovation management and information systems. Theoretical frameworks used in investigating the role of digital tokens in blockchain management are mainly based on contracts, diversity theory, portfolio theory and faking likelihood theory. The study reveals gaps in the literature, particularly in the under-researched areas of behavioural psychology and social psychology theories. The appropriate regulation and regulation authority for different types of digital tokens are required. The study also presents archetypes that represent patterns in the current landscape of blockchain tokens, which have significant potential for future research and practical applications.Originality/valueThis study is unique in its approach to assessing the future of NFTs in the field of innovation and information management. While many existing reviews have focused on describing the progress and development of NFTs in the past, this study takes a forward-looking perspective and projects the future potential of NFTs. This innovative approach allows for a deeper understanding of the potential impact of NFTs in various fields such as entrepreneurship, innovation management and tokenomics. Therefore, this study contributes to the literature on NFTs by providing insights and recommendations for future research and practical applications.