Information Management Challenges Research Articles

EVALUATION OF IT GOVERNANCE USING COBIT 2019 ON REGIONAL ASSET MANAGEMENT AGENCY OF DKI JAKARTA

An adequate level of IT availability can obtained by implementing IT Governance, which pay attention to all related issues service readiness, including services and resources. This research aimed to assess the IT Governance capability at the Regional Asset Management Agency (BPAD), a government institution responsible for asset management. The study specifically focused on issues related to data and information management, including leadership and risk management challenges. Using the COBIT 2019 Framework, data were collected through interviews and observations. The respondent of this research are 4 who work in the Data and Information Sub-Sector and one Head of Asset Administration. The findings revealed that the EDM 05 process achieved a capability level of 4, surpassing the organization's target. However, the APO 08 and APO 12 processes were rated at level 2, highlighting areas in need of improvement. The study provides recommendations to enhance BPAD's performance and optimize its business activities.

Perceptions of Realtors on Property Information Processing: Basis for a Web-Based Real Estate Property Management System

Managing real estate properties efficiently presented challenges due to the complexity of tasks involved, including tenant communication, maintenance scheduling, and financial tracking. Traditional methods often relied on manual processes, leading to inefficiencies, errors, and delays. Motivated by the need for a streamlined solution, this paper introduced a web-based real estate property management system designed to address these challenges. By employing a descriptive research design and utilizing the mixed methodology approach, the study investigates the challenges faced by realtors in managing property information. It also evaluated the current information management systems of each realtor in handling property listing, sales, leases, and rentals. The research findings revealed that 45% of respondents encounter challenges in property information management, primarily related to inefficient handling of sales information and lease agreements. While 72.7% of respondents use real estate software, shortcomings such as a lack of detailed property information and communication issues underline the need for a comprehensive web-based management system meeting various real estate management needs, as preferred by 90.9% of respondents. The results of the study will be used to propose a web-based real estate property management system for the overall efficiency of real estate operations and revolutionize how real estate assets were managed and optimized in digital age

Exploring land use dynamics in rural areas. An analysis of eight cases in the Global North

Rural areas are pivotal in the global economy, hence rural development planners and decision makers face significant technical and information management challenges, hindering their ability to assess sustainable development and formulate strategies. These challenges, coupled with shifts in traditional rural activities, aging populations, and climate change impacts, create inequalities and threaten rural communities. Therefore, developing approaches for the assessment of changes in rural areas are required. In recent years, remote sensing has emerged as a useful tool for monitoring the complex dynamics of rural regions, with a notable increase in the accessibility and use of freely available satellite data and platforms for tracking changes in land use and land cover (LULC). In light of this trend, this article analyzes the spatio-temporal trends in eight different development regions in Japan, Germany, Poland and Spain and integrates them with population data. This research relied on the utilization of openly available datasets - satellite imagery from Landsat and WorldPop population data, processed in Google Earth Engine (GEE). The time series of Landsat imagery were employed to analyze changes in LULC over a 20-year period from 2000 to 2020 in each test site. Unique combinations (i.e. each pixel history) were systematically examined and categorized based on established rules, with improbable scenarios marked as "uncertain." The comparison demonstrates that all eight regions have unique spatial, temporal and thematic characteristics. The most significant changes observed include the transformation of tree-covered areas into built-up areas in the case of Tsukuba and into agricultural lands in Shibushi. In the Bodzentyn and Połaniec communes in Poland, agricultural lands have transitioned into forested areas. In Spain, there is an increase in built-up areas, particularly at the outskirts of established towns. In Germany, the results indicate an expansion of built-up and agricultural areas in the Fürth region, while the Regen region experienced an increase in agricultural land. Incorporating population data reveals relationships between different types of LULC conversions and population trends, showing clear positive trends in areas transformed from agricultural and tree-covered land to built-up areas, with the most profound changes observed in Spanish cases and Tsukuba. The findings from automatic LULC classification highlight the usefulness of this tool in identifying socio-economic changes, especially when it is integrated with and compared to statistical data. Policy makers and planners at local levels should consider these specific values as a foundational reference point for shaping their plans related to sustainable development, land use, environmental preservation, and resource management.

Deep learning-driven hybrid model for short-term load forecasting and smart grid information management

Accurate power load forecasting is crucial for the sustainable operation of smart grids. However, the complexity and uncertainty of load, along with the large-scale and high-dimensional energy information, present challenges in handling intricate dynamic features and long-term dependencies. This paper proposes a computational approach to address these challenges in short-term power load forecasting and energy information management, with the goal of accurately predicting future load demand. The study introduces a hybrid method that combines multiple deep learning models, the Gated Recurrent Unit (GRU) is employed to capture long-term dependencies in time series data, while the Temporal Convolutional Network (TCN) efficiently learns patterns and features in load data. Additionally, the attention mechanism is incorporated to automatically focus on the input components most relevant to the load prediction task, further enhancing model performance. According to the experimental evaluation conducted on four public datasets, including GEFCom2014, the proposed algorithm outperforms the baseline models on various metrics such as prediction accuracy, efficiency, and stability. Notably, on the GEFCom2014 dataset, FLOP is reduced by over 48.8%, inference time is shortened by more than 46.7%, and MAPE is improved by 39%. The proposed method significantly enhances the reliability, stability, and cost-effectiveness of smart grids, which facilitates risk assessment optimization and operational planning under the context of information management for smart grid systems.

Case—Budding with ERP: Information and Operations Management Challenges in a Nascent Industry

Case—Budding with ERP: Information and Operations Management Challenges in a Nascent Industry

Case Article—Budding with ERP: Information and Operations Management Challenges in a Nascent Industry

The role of analytics in operations and supply chain management (OSCM) has gained significant importance due to the decision-making complexities in the current business environment. The effectiveness of most analytical approaches, in turn, relies on access to timely and accurate data and information. Hence, it is essential for OSCM students to understand the underlying processes and dynamics of information management, for which enterprise resource planning (ERP) systems have become a standard. This case study can be a useful resource for introducing the critical interface between OSCM and information systems. The case study aims to facilitate learning on (1) the limitations of a rudimentary and disconnected information system, (2) the benefits and challenges of ERP implementation, and (3) the important steps to ensure a successful implementation of an ERP system. It provides an interesting context of a fast-growing agribusiness producing regulated products in Canada. The case study has been used in OSCM and management information systems (MIS) courses in two Canadian public Universities. Funding: This work was supported by Mitacs [Grants IT28747 and IT32722]. Supplemental Material: The Teaching Note and data files are available at https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials .

Information Communication and Computation Technologies (ICCT) for Agricultural and Environmental Information Systems for Society 5.0

Purpose: This paper aims to discover the dynamic landscape of Information Communication and Computation Technologies (ICCT) within agriculture and environmental information management, elucidating their evolutionary trajectory and the resonance of Society 5.0 principles in fostering innovative solutions. By scrutinizing the core technologies constituting ICCT in these sectors, it endeavours to shed light on the potential for integration within the framework of Society 5.0, contemplating both the possibilities and challenges inherent in this convergence. Methodology: This exploratory chapter delves into the evolving landscape of Society 5.0 and its pivotal emphasis on the integration of Information Communication and Computation Technologies (ICCT) to address the complex challenges in agriculture and environmental information management. Analysis/Results: The paper provides a background on the evolution of Society 5.0 and establishes the rationale for exploring the role of ICCT in advancing Agricultural and Environmental Information Systems within this transformative societal framework. The core technologies in ICCT are explored through IoT applications in precision agriculture, the transformative impact of blockchain in agricultural supply chains, and the utilization of remote sensing and Earth observation systems along with data analytics for environmental insights. The paper further investigates the integration of ICCT in Society 5.0 agricultural and environmental systems, unveiling how these technologies support smart farming practices, citizen engagement in agricultural decision-making, and sustainable resource management. Case studies highlight successful ICCT implementations in agriculture and environmental management, underscoring best practices and lessons learned. Emerging trends in ICCT for agriculture and environmental science are explored, providing insights into future developments. Originality/Value: Through the lens of case studies showcasing successful ICCT implementations, it seeks to distill key insights, while also conducting a forward-looking assessment of emerging trends and applications, thus contributing to a deeper understanding of the evolving role of ICCT in shaping sustainable agricultural and environmental information paradigms within the societal context of the future. Type of Paper: Exploratory analysis.

Common data environments in construction: state-of-the-art and challenges for practical implementation

Purpose Information management workflow in building information modelling (BIM)-based collaboration is based on using a common data environment (CDE). The basic premise of a CDE is exposing all relevant data as a single source of truth and facilitating continuous collaboration between stakeholders. A multitude of tools can be used as a CDE, however, it is not clear how the tools are used or if they fulfil the users’ needs. Therefore, this paper aims to investigate current practices of using CDEs for information management during the whole built asset’s life cycle, through a state-of-the-art literature review and an empirical study. Design/methodology/approach Literature data is collected according to the PRISMA 2020 guideline for reporting systematic reviews. This paper includes 46 documents in the review and conduct a bibliometric and thematic analysis to identify the main challenges of digital information management. To understand the current practice and the views of the stakeholders using CDEs in their work, this paper used an empirical approach including semi-structured interviews with 15 BIM experts. Findings The results indicate that one of the major challenges of CDE adoption is project complexity and using multiple CDEs simultaneously leading to data accountability, transparency and reliability issues. To tackle those challenges, the use of novel technologies in CDE development such as blockchain could be further investigated. Originality/value The research explores the major challenges in the practical implementation of CDEs for information management. To the best of the authors’ knowledge, this is the first study on this topic combining a systematic literature review and fieldwork.

Blockchain-Enabled Construction and Demolition Waste Management: Advancing Information Management for Enhanced Sustainability and Efficiency

The construction industry is a significant contributor to global carbon emissions, primarily due to the generation of substantial construction and demolition waste. However, the current practices in construction and demolition waste management (CDWM) face various information management challenges that undermine their overall effectiveness. Correspondingly, this research proposes the integration of blockchain technology as a strategic solution to enhance the efficiency and effectiveness of CDWM. Despite the potential of blockchain in revolutionizing CDWM, research in this area remains limited. To address such a gap, this study adopts a design science action research methodology to integrate the use of blockchain technology into CDWM. Specifically, this study has creatively introduced the blockchain-based data supply chain to address the principal–agent problem in CDWM and develop a novel blockchain-enabled framework for CDWM. Additionally, a six-layer system architecture for the blockchain-based CDWM information system has been developed. This integration holds the promise of streamlining and empowering CDWM processes and thereby improving the administration and regulation of CDWM. Notably, the utilization of blockchain technology also presents an innovative opportunity for carbon reduction and offsetting within the construction industry. This research makes a substantial contribution to the field by introducing a novel approach to address information management challenges in CDWM, thereby promoting sustainable practices in the construction industry.

Research on the Innovative Path of Informatization Management of College Students' Employment in China

This paper aims to explore the field of career planning and employment guidance for Chinese college students, and puts forward relevant countermeasures and suggestions from the theoretical level under the title of "Research on the Innovation Path of College Students' Employment Informatization Management". By analyzing the problems and challenges of the current information management of college students' employment and combining relevant research results at home and abroad, this paper proposes an innovative path from a theoretical point of view, with a view to providing theoretical support and practical guidance for college students' career planning and employment guidance work.

A Guided Tour Study of the Untidy but InspirationalPIMof Visual Artists

ABSTRACTWhile all individuals deal with increasingly large amounts of digital information in their everyday lives and professionally, prior works suggest visual artists have unique information management practices and challenges. This study therefore examined the personal information management (PIM) practices and challenges of six practising visual artists using guided tours and short interviews. It was found that the visual artists had some unique practices connected to their strong emphasis on serendipity, inspiration, and visual dimensions of information. Like non‐artists, the participants faced challenges across all phases of PIM, chiefly an excess of information and fragmented organisation, and they found it especially hard to assess how personal and valuable their information could be. After characterising this rarely discussed PIM demographic, we draw on the findings to provide concrete recommendations for artists doing PIM, for information and cultural heritage institutions, and for designers of PIM software.

Understanding Contexts and Challenges of Information Management for Epilepsy Care.

Epilepsy is a common chronic neurological disease. People with epilepsy (PWE) and their caregivers face several challenges related to their epilepsy management, including quality of care, care coordination, side effects, and stigma management. The sociotechnical issues of the information management contexts and challenges for epilepsy care may be mitigated through effective information management. We conducted 4 focus groups with 5 PWE and 7 caregivers to explore how they manage epilepsy-related information and the challenges they encountered. Primary issues include challenges of finding the right information, complexities of tracking and monitoring data, and limited information sharing. We provide a framework that encompasses three attributes - individual epilepsy symptoms and health conditions, information complexity, and circumstantial constraints. We suggest future design implications to mitigate these challenges and improve epilepsy information management and care coordination.

Using Social Media in Projects: Information Management Challenges and Recommendations

ABSTRACT We report the results of a survey of 167 responses from managerial/senior-level staff to an open-ended question about the challenges of using social media (SM) in project management (PM). The results show that such challenges stem from three aspects: 1) external; 2) internal; and 3) a combination of internal/external to the project organization. While prior findings have shown some concerns about using SM, we not only provide novel insights about three distinct sets of challenges but also reveal that the nature of internal and external challenges may be similar at times. The distinction between their sources must be understood to overcome them. Academically, the study advances the literature on information management by providing a more nuanced classification of SM-related challenges specific to projects and discussing their effects. The study also develops six theoretical propositions for empirical testing. The findings will aid managers in developing strategies for leveraging SM for PM.

The importance of good-quality, user-focused metadata: How the Transport for London corporate archives benefit from voluntary standards and meaningful metadata

A good digital asset management (DAM) system will make the process of storing, sharing and tracking digital assets much easier. But is this all it should do? What about ensuring the discoverability of assets for years to come? What about rendering digital assets to users in an ever-evolving end-user computing environment? In other words, what about true digital preservation and the role of DAM? The answer lies in the metadata held in a system and what that system demands the asset creator provide. When considering the wider potential for metadata in the entire asset life cycle, is it necessary to alter the tradition of metadata being ‘data about data’ and go back to thinking of metadata as ‘data about the asset’? This paper looks at the challenges for successful information management created by the boom in born-digital assets and the ongoing conversion of hard-copy materials into digital formats. The value and role and criticality of high-quality, trusted and user-focused metadata in meeting these challenges is discussed through the exploration of standards and frameworks, and the use of case studies.

Development and Assessment of a Mobile-based Information System for Charity Foundations

This paper presents the development and evaluation of a mobile-based information system for charity foundations to improve the management of donor profiles, donation records, beneficiary information, and program reports. A user-centered design approach was employed to ensure usability and effectiveness. The evaluation was based on usability, effectiveness, functionality, and maintainability, and the results show that the system is highly usable, effective, functional, and maintainable. The system contributes to the digital transformation of charitable organizations by providing a technological solution to their information management challenges, increasing transparency, facilitating real-time communication between organizations and donors, and resulting in increased efficiency, the effectiveness of operations, and improved program impact, leading to increased donations. The system's success highlights its value in transforming charitable organizations' operations and continued development and assessment are essential for its success.

Machine Learning framework for Information Security Management in Big Data Applications

Big data has become an integral part of modern businesses, but its management and protection present numerous challenges, such as securing sensitive information from unauthorized access, preventing data breaches, and ensuring data integrity. This work investigated applying a machine learning (ML) approach to tackling the challenges of information security and management in big data environments. We present an ML framework that leverages a supervised learning strategy to detect anomalies, classify big data, and predict potential security threats. We also investigate the implementation of this framework and its potential benefits, such as reducing false positives and improving detection rates. Our experimental analysis in public datasets demonstrates the effectiveness of our approach in improving information security and management in big data environments.

A digital sustainability approach for effective knowledge and information management in education specific non-profit organizations: Culture Intelligent IS Solutions

Information and knowledge management plays a crucial role in the sustainable development of educational organizations with significant impacts on academic communities ‘behavioral patterns. Leveraging digital technologies into academic processes have been considered as a promising way for effective management of information and knowledge. However, superficial or ungrounded adoption of information systems without consideration of the academic and information culture of a given organization may result in ineffective or useless operations that will subsequently burden staff with irrelevant actions. In this regard, this paper aims to provide an approach for sustainable growth of educational organizations with culturally savvy Information System solutions in information and knowledge management challenges. By this approach, enhanced value systems and a better cycle of information\knowledge among the academic community are intended to be achieved. Stakeholder analysis, objective sampling, and literature review were applied for data collection procedures, which provided ultimate identification of information and academic culture patterns and factors on information and knowledge management. By these patterns and factors, we found effective Information System (IS) solutions that match well with generic features of academic and information cultures in Uzbekistan such as data-driven systems, decision support systems, and discourse analysis. Finally, we have drawn implications for educational institutions to manage information effectively and develop a healthy organizational information environment. Additionally, future research directions will be identified in the digital sustainability domain of effective information and knowledge environment.

Freelance information management agents: why information management is so hard on translational teams.

To conduct high-quality, rigorous research, and advance scientific knowledge, Translational Teams (TTs) engage in information behaviors, including seeking, using, creating, sharing, storing, and retrieving information, in ways specific to the translational context. Currently, little is known about TTs' approach to information management. This qualitative pilot study explored how TTs at the University of Wisconsin-Madison interact with information, as well as the scientific and organizational impact of their interactions. We conducted interviews with ten members of UW TTs. Interviews were transcribed and thematic analysis was conducted. Four themes emerged: (1) TT members did not recognize the centrality of information or information behaviors to their scientific work; (2) TT members engaged in similar information behaviors and used similar tools across disciplines and topics; (3) TT members did not receive support or guidance from their institution in managing information; and (4) Individualized choices of TT members conflicted at the team level, causing confusion and increasing the potential for data and information loss. Acting as freelance information management agents, TT members made individualized decisions about what tools to use and how to use them, often in a piecemeal manner and without communicating these decisions to other team members. Research institutions should both encourage teams to discuss their information management approaches at the beginning of a project and provide leaders with training on how to have these conversations and what topics should be included. Additionally, institutions can provide researchers with guidelines for using software platforms to help mitigate information management challenges.

Toward a translational team science hierarchy of needs: Exploring the information management challenges of team science.

Clinical and Translational Research (CTR) requires a team-based approach, with successful teams engaging in skilled management and use of information. Yet we know little about the ways that Translational Teams (TTs) engage with information across the lifecycle of CTR projects. This qualitative study explored the challenges that information management imposes on the conduct of team-based CTR. We conducted interviews with ten members of TTs at University of Wisconsin. Interviews were transcribed and thematic analysis was conducted. TTs' piecemeal and reactive approaches to information management created conflict within the team and slowed scientific progress. The lack of cohesive information management strategies made it more difficult for teams to develop strong team processes like communication, scientific coordination, and project management. While TTs' research was hindered by the institutional challenges of interdisciplinary team information sharing, TTs who had developed shared approaches to information management that foregrounded transparency, accountability, and trust, described substantial benefits to their teamwork. We propose a new model for the Science of Team Science field - a Translational Team Science Hierarchy of Needs - that suggests interventions should be targeted at the appropriate stage of team development in order to maximize a team's scientific potential.

Challenges confronting construction information management

This paper aims to present the results of an investigation of the prevailing challenges in construction information management. The study implemented a quantitative survey methodology, using a questionnaire to gather data from architects, civil engineers, quantity surveyors, mechanical and electrical engineers, construction managers, and project managers. Data analysis was conducted using the SPSS software package: applicable measures of dispersal were computed and inferential statistical tests performed. The study revealed that information management is a significant aspect of construction procedures and that a well-structured information system must be in place to achieve success in the construction domain. Additionally, the researchers discovered that construction information management could be affected by both internal and external factors within an organization. Further findings revealed that the major challenges in construction information management are long-term reliance on legacy systems, a lack of technological equipment, leadership development, poor financial investment in infrastructure for data management, and the implementation of appropriate policies by management. The primary contribution of this study lies in its appraisal of the difficulties facing construction information management and its identification of the relevant challenges, which can help in the proposal of solutions to improve methods of managing construction information, in turn producing improved performance and more efficient delivery of services on the part of professionals within the construction industry.