Effective Information Flow Research Articles

Effective Information Flow In Project Management: Lessons From An Information Technology Project

Network analysis of scheduled activities is a widely-applied project management tool which promotes timely and efficient project delivery. However, lack of coherent network of information flow during the project implementation can render the project objectives and targets unrealisable. In this study, the researcher analysed lessons on information management from a plant installation process in an information technology (IT) company within the Manchester neighbourhood. The lessons were relatable because the researcher was a member of the team who managed the plant installation. In particular, an electronic information model (under the auspices of Excel software) was designed and implemented in collaboration with the project team. This immediately kept the team well informed of the project progress, corrected slowdowns in activity execution and facilitated timely completion of the plant assembly. The multiple-machine plant was successfully prepared for production operation within the specified timeline. This study therefore argues that project managers may take lessons from this experience in creating a network of information flow such that the project team implements their assigned activities with full information knowledge of what comes before and after each activity.

Altered functional brain connectivity, efficiency, and information flow associated with brain fog after mild to moderate COVID-19 infection.

COVID-19 is associated with increased risk for cognitive decline but very little is known regarding the neural mechanisms of this risk. We enrolled 49 adults (55% female, mean age = 30.7 ± 8.7), 25 with and 24 without a history of COVID-19 infection. We administered standardized tests of cognitive function and acquired brain connectivity data using MRI. The COVID-19 group demonstrated significantly lower cognitive function (W = 475, p < 0.001, effect size r = 0.58) and lower functional connectivity in multiple brain regions (mean t = 3.47 ±0.36, p = 0.03, corrected, effect size d = 0.92 to 1.5). Hypo-connectivity of these regions was inversely correlated with subjective cognitive function and directly correlated with fatigue (p < 0.05, corrected). These regions demonstrated significantly reduced local efficiency (p < 0.026, corrected) and altered effective connectivity (p < 0.001, corrected). COVID-19 may have a widespread effect on the functional connectome characterized by lower functional connectivity and altered patterns of information processing efficiency and effective information flow. This may serve as an adaptation to the pathology of SARS-CoV-2 wherein the brain can continue functioning at near expected objective levels, but patients experience lowered efficiency as brain fog.

Humanitarian supply chain resilience: does organizational flexibility matter?

PurposeThe COVID-19 epidemic caused significant disruptions to numerous supply chains. In order to enhance the resilience of supply chains, Collaboration (CO), Information Alignment (IA), and Big Data Analytics Capability (BDAC) have emerged as contemporary strategies within the humanitarian context. This study was conducted to explore the mechanism via which the effect of BDAC, IA and CO on Humanitarian Supply Chain Resilience (HSCR) in the humanitarian space could be optimized through Organizational Flexibility (OF).Design/methodology/approachA model of six hypotheses was developed based on the Organizational Information Processing Theory (OIPT). Data from 127 supply chain managers in humanitarian organizations were used to test the hypotheses. The analysis employed both descriptive and inferential statistics using SPSS version 26 and Smart-PLS version 3.FindingsThe study revealed that BDAC, IA, and CO individually influence supply chain resilience in the humanitarian setting while OF did not moderate the relationship between BDAC, IA, CO, and HSCR.Practical implicationsIt is essential that humanitarian stakeholders prioritize factors that could increase supply chain resilience by employing contemporary BDA technologies, effective information flow, and collaborative strategies to set up a robust humanitarian SC system that could help lessen the impact of disasters.Originality/valueThis presents interesting insights that advance theoretical debates on how CO, IA, and BDAC under varying levels of OF could influence SCR in the humanitarian context. The paper further offers some useful guidance to managers in relief organizations who desire to build resilient supply chains by leveraging BDAC, collaboration and information alignment. Finally, the paper may also provoke future humanitarian scholars to replicate the study using different approaches.

Millimeter wave–3D massive MIMO: Deep prior‐aided graph neural network combining with hierarchical residual learning for beamspace channel estimation

SummaryMillimeter Wave (mmWave) communication has emerged as a transformative technology at the forefront of wireless communication. One of the key challenges in harnessing the potential of mmWave technology is overcoming the increased susceptibility to propagation losses and environmental obstacles. To address these challenges, Three‐Dimensional Massive Multiple‐Input Multiple‐Output (3D Massive MIMO) systems have gained traction. The 3D aspect extends this concept by considering the elevation dimension, allowing for enhanced spatial resolution and coverage. Accurate estimation of the channel in 3D Massive MIMO scenarios is particularly challenging because of the complex propagation characteristics of mmWave signals. This paper introduces an efficient‐Aided Graph Neural Network Combining with Hierarchical Residual Learning (DPrGNN‐HrResNetL), designed specifically for beamspace Channel Estimation (CE)in mmWave‐Massive MIMO environments. The proposed model leverages deep priors and GNN mechanisms to enhance the extraction of spatial features, while hierarchical residual connections facilitate effective information flow through the network. DPrGNN enables the model to capture and understand complex spatial relationships among different antenna elements. The incorporation of deep priors provides a mechanism for leveraging prior knowledge about channel characteristics. This enhances the efficiency of the learning process, allowing the model to learn and adapt more effectively. The integration of hierarchical residual connections facilitates effective information flow through the network. This is particularly important for modeling complex dependencies within the beamspace channel data, enhancing the learning capacity of the network. The performance of the DPrGNN‐HrResNetL model is evaluated across a range of Signal‐to‐Noise Ratios (SNRs), utilizing metrics such as Normalized Mean Squared Error (NMSE) to measure the accuracy of the estimation. The outcomes underscore the resilience and efficacy of the DPrGNN‐HrResNetL approach in achieving precise CE within demanding mmWave scenarios.

Informal Communication: A Path to Success for Internal Auditors

SUMMARY The newly issued 2024 Global Internal Audit Standards recognize the need for informal communication for the first time, highlighting the vital role of informal communication in facilitating effective information flow and building relationships between internal auditors and their stakeholders. Frequent informal communication can significantly enhance the benefits of formal reporting by helping internal auditors gain deeper knowledge of the organizational culture and dynamics, nurture mutual understanding of internal audit work, and take a comprehensive perspective on risk. Drawing upon data gathered through interviews, surveys, and audit committee charters, we find that informal communication between internal auditors and the audit committee plays a pivotal role in obtaining audit committee support and building strong relationships. However, there is a significant gap between current practice and the new guidance for informal communication. We discuss implications of the new standards and offer suggestions to improve informal communication.

A Novel Lightweight Language Model Architecture with Flexible Parameters

In this paper, we introduce SwiFTeDLM, a groundbreaking Language Model architecture that leverages the power of SwiGLU for enhanced decoding capabilities. SwiFTeDLM stands for SwiGLU Enabled Fine-Tuned Decoder based Language Model, representing a fusion of state-of-the-art techniques in natural language processing. Our model achieves superior performance through the integration of SwiGLU, a recently developed activation function, enabling more effective information flow within the decoding mechanism. We conduct extensive experiments to demonstrate the effectiveness of SwiFTeDLM in various language tasks, showcasing its ability to challenge existing models. Additionally, we explore the fine-tuning aspect of the architecture, highlighting its adaptability to specific domains. SwiFTeDLM not only advances the field of language modeling but also opens avenues for further exploration and improvement in natural language understanding and generation. Also we have introduced a new pre-training method and further fine-tuned version of the model.

Classification of Vascular Dementia on magnetic resonance imaging using deep learning architectures

Vascular Dementia is a severe disease that results from dead nerve cells’ accumulation in blood vessels. This affects the blood flow and impairs memory and decision-making abilities. Machine learning and deep learning have been used in detecting this disease. Nevertheless, their accuracy has been inconsistent, explaining why their utilization in diagnosing patients has led to poor performance. We developed several transfer learning architectures that improve classification accuracy and diagnosis performance in assessing vascular dementia. The process first entails the preprocessing of the dataset where a random selection ensures data representation is balanced. We used a dataset containing resting-state fMRI scans to split training, testing, and validation into 80%, 10%, and 10%. We employ different Convolutional Neural Network architectures such as VGG16, VGG19, DenseNet121, and InceptionResNetV2 to enhance classification. To, enhance these, we incorporated Rectified Linear Unit and leaky activation functions for the training phase to counteract problems associated with vanishing gradient common in deep learning tasks. Our methodology ensures effective information flow throughout different layers, which is essential for a divergent information hierarchy in medical information. As such, the specifics show that our approach achieved 84.67% in accuracy in the multi-classification, which is better than the current state-of-the-art research in the same field. Therefore, the result shows that transfer learning-based approaches are suitable when combined with strategic pre-processing and activation functions in improving the diagnosis of vascular dementia using MRI images.

Breakdown of effective information flow in disorders of consciousness: Insights from TMS-EEG

BackgroundThe complexity of the neurophysiological mechanisms underlying human consciousness is widely acknowledged, with information processing and flow originating in cortex conceived as a core mechanism of consciousness emergence. Combination of transcranial magnetic stimulation and electroencephalography (TMS-EEG) is considered as a promising technique to understand the effective information flow associated with consciousness. ObjectivesTo investigate information flow with TMS-EEG and its relationship to different consciousness states. MethodsWe applied an effective information flow analysis by combining time-varying multivariate adaptive autoregressive model and adaptive directed transfer function on TMS-EEG data of frontal, motor and parietal cortex in patients with disorder of consciousness (DOC), including 14 vegetative state/unresponsive wakefulness syndrome (VS/UWS) patients, 21 minimally conscious state (MCS) patients, and 22 healthy subjects. ResultsTMS in DOC patients, particularly VS/UWS, induced a significantly weaker effective information flow compared to healthy subjects. The bidirectional directed information flow was lost in DOC patients with TMS of frontal, motor and parietal cortex. The interactive ROI rate of the information flow network induced by TMS of frontal and parietal cortex was significantly lower in VS/UWS than in MCS. The interactive ROI rate correlated with DOC clinical scales. ConclusionsTMS-EEG revealed a physiologically relevant correlation between TMS-induced information flow and levels of consciousness. This suggests that breakdown of effective cortical information flow serves as a viable marker of human consciousness. SignificanceFindings offer a unique perspective on the relevance of information flow in DOC, thus providing a novel way of understanding the physiological basis of human consciousness.

Dual Network Contrastive Learning for Predicting Microbe-Disease Associations

Predicting microbe-disease associations is crucial for demystifying the causes of diseases and preventing them proactively. However, most of existing approaches are feeble to comprehensively investigate the interactive relationships between diseases and microbes by self-supervised manner, resulting in the microbe-disease associations are hard to ploughed. In this paper, we propose DNCL-MDA, a novel <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">M</u> icrobe- <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">D</u> isease <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">A</u> ssociations prediction model based on <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">D</u> ual <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</u> etwork <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">C</u> ontrastive <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</u> earning, to demystify potential microbe-disease associations (MDAs). Particularly, DNCL-MDA first constructs a pair of microbe-disease dual networks, and designs an effective information flow projection method to obtain the individual disease and microbe networks while reserving their interdependent information. Then, DNCL-MDA proposes an optimized graph contrastive learning approach to learn the discriminative feature representations of diseases and microbes. Finally, the feature representations are contacted and fed into a fully connected neural network to predict the potential microbe-disease associations automatically. Experimental results on real-world datasets demonstrate that our proposed DNCL-MDA largely outperforms the state-of-the-art methods with more promising AUC performances.

The NAVICARE Network for patient-oriented health services research - experiences and lessons learned

Abstract Background In 2017 NAVICARE was established as a Berlin/Brandenburg-based network for patient-oriented health services research. The overall aim is to reduce barriers for patients with age-associated diseases and multimorbidity in the fragmented German health care system. The networks structural goal was to develop a research environment in which scientifically developed regional health services interventions for better coordinated care are piloted. Methods During two funding periods, an overarching infrastructure was built in the network to connect and support participating researchers as well as external stakeholders from different disciplines, support education and coordinate the network's dissemination and events. In a critical reflection process between participating researchers, we collected experiences and lessons learned from work in the multidisciplinary research network. Results A shared coordinating infrastructure, including monthly meetings, to bring in different competencies, perspectives, methods and research questions has been described as beneficial. This includes expertise from participating researchers as well as connected external partners. Experienced challenges are high time effort of networking, bringing together different views as well as logistical-organizational barriers in building overarching and permanent structures. Conclusions Work in a research network can provide structural support by collating information and expertise to support better health services research and allowing the integration of different perspectives from internal as well as external partners involved in health care. An overarching coordinating infrastructure should provide an effective flow of information and connect all partners in a time efficient manner. Key messages • Multidisciplinary networking can support a patient-oriented health services research environment. • However, for the regional network to be efficient a goal-oriented coordination and time-balanced communication is key.

The future of solar forecasting in China

The current grid code in China in regard to solar forecasting is, in my opinion, underdeveloped, especially in contrast to the rate at which photovoltaics are being installed. As such, explaining the limitations of the grid code and resetting pathways to improve it are thought utilitarian for those scientists and policymakers who are responsible for or aware of the grid code but have not themselves worked on the problem of forecasting. In this perspective article, I should first explain with respect to China's grid code the perceived deficiencies in the current forecasting research and practices, and then outline a five-stage workflow that could completely mitigate the situation. Among other things, the over-reliance on accuracy as the basis for gauging the goodness of forecasts is identified as a root cause for the status quo, and thus, I advocate a holistic forecast verification procedure that encompasses consistency, quality, and value. With that in mind, the proposed workflow for better solar forecasting for grid integration purposes relies on the effective information flow among the weather department, grid operators, and individual plant owners, which is inline with the current grid code. What goes beyond this is that the proposal further introduces a couple of concepts called “hierarchical reconciliation” and “firm forecasting,” which are new but are able to eliminate forecast errors wholly, thus making solar power dispatchable on the system level. With a slight premium incurred, it is now possible to manage solar plants, or variable renewables in general, in the same style as managing conventional fire-powered generators.

AN ASSESSMENT OF CHALLENGES AND FACTOR INFLUENCING THE FREIGHT FORWARDING BUSINESS IN THE LOGISTICS INDUSTRY

This research was undertaken with the sole aim of understanding some of the challenges and Factor Influencing the Freight Forwarding Business in the organizations involved the Forwarding and distribution of shipper Cargo encounter in their logistics operations. A freight forwarder is a person or company that organizes shipments for individuals or corporations to get large orders from the manufacturer or producer to market or final point of distribution. Forwarders will contract with a carrier to facilitate the movement of goods. A forwarder is not typically a carrier but is an expert in supply chain management. In other words, a freight forwarder is a "travel agent," for the cargo industry, or a third-party (non-asset-based) logistics provider. A forwarder will contract with asset- based carriers to move cargo ranging from raw agricultural products to manufactured goods. The term Logistics Management or supply chain management is that part of Supply Chain Management that plans, implements, and controls the efficient, effective, forward, and reverse flow and storage of goods, services, and related information between the point of origin and the point of consumption in order to meet customer's requirements. The research targeted a selected sample of Employees and representatives of transporters of goods and key management personnel of Companies Central Distribution Center based in the industrial area Chennai. The primary objective of this project is to conduct ‘A study on Challenges and factor influencing the freight forwarding business in the Freightkare Multimodal Logistics Pvt. ltd. It is important to analyze the problems faced by freight forwarders from the carriers as well as companies and individual customers. By studying and comparing the various problems faced by the freight forwarders. It is easy identifying the solutions to avoid the problems and make sure the smooth flow of business. This will help Freightkare Multimodal Logistics Pvt. ltd to establish a reasonable share in the marketplace.

Особливості розвитку міжнародних логістичних систем за умов глобалізації

This research paper is devoted to studying the essence and features of international logistics systems, which are an es-sential factor in the competitiveness of enterprises and countries in the globalization of the world economy. The authors analyze the role and functions of international logistics systems in ensuring effective material management and information flows between subjects of international economic cooperation. The article identifies the main types of international logistics systems by regulatory bodies, forms of organization, types of logistics operations, and scope of activities. The advantages and disadvantages of international logistics systems for enterprises and participating countries are also considered, and the main problems and barriers to their development are identified. Based on the analysis, the author proposes directions for improving international logistics systems, considering the specifics of industries and regions. The article reviews globaliza-tion processes and established practices of international logistics systems. The formation of logistics processes in Europe and Ukraine is shown. The existing scientific and practical approaches and principal components of transport logistics are sum-marized. The role of business process reengineering in it is determined for the successful implementation of which an appro-priate algorithm of the sequence of actions should be implemented. The author outlines the terms, methods of delivery, and operations with customers that are common to the Ukrainian logistics services market. The author identifies the place and outlines the prospects for a resumption of activities of domestic enterprises in the face of changing external environment. In this sense, the successful experience of leading international enterprises indicates the need to address several issues related to optimizing production processes. The proposed directions for the restoration of the logistics business in the post-war period include refutation and unification of standards and principles of international law, which will regulate the issues of cargo transportation in terms of various modes of transport and optimize the implementation of logistics operations and will allow forming a system of the transparent and convenient international logistics market. There also appears to be a need for a di-rection designed to ensure the efficiency of supply chains by logistics companies, which in turn covers a set of different types of flows and automated sequential business processes, dramatically simplifies, and makes delivery services transparent, optimizes consumer demand, expands the network and facilitates access to foreign markets. In this aspect, the role of e-commerce should be given due credit, which is the impetus for the existence of supply chains and transparency of logistics center management. Keywords: logistics, transport infrastructure, warehouses, competition, logistics outsourcing, logistics infrastruc-ture, business process reengineering, supply chains, e-commerce.

Digital advanced work packaging – a case study in construction-led delivery

Advanced Work Packaging (AWP), a Project Management methodology, has been adopted to deliver the Viva Energy Gas Terminal Project. AWP is a recognised industry best practice, which aligns Engineering, Supply Chain Management and Construction towards an optimised execution sequence, driven by Construction and Commissioning. AWP accomplishes this through standardised project planning and effective information and data flow for the duration of the project under a unified plan. Worley has developed a unique framework and digital delivery method for AWP based on the Construction Industry Institute standard. The underlying strategy that enables AWP to succeed is defining the execution sequence early and collaboratively, as well as, committing to a unified plan between Engineering, Supply Chain, Fabrication, Construction, Completions and Start-Up. Construction-led delivery using digital AWP enables the sequencing of engineering deliverables based on Construction and Commissioning sequences, allowing the right people to work on the right issues at the right time. Through application of an AWP compliant Level III Schedule that provides visibility across Engineering, Procurement and Construction, we have been able to determine the impact of delays and mitigate to facilitate successful execution. Based on the application of AWP on projects using the Construction Industry Institute standard, significant improvements in overall project delivery outcomes have been achieved; with productivity improvements of up to 25%, improved schedule outcomes with 80% of projects either on time or ahead of schedule and Total Installed Cost savings of 3–10%.

A Business Intelligence Effectiveness Model

Business intelligence (BI) is a technology-driven process that contributes toward revealing the position of an organisation in comparison to its competitors, market conditions, and future trends, and presents demographic and economic information. The objective of the research was to identify the elements that determine the effectiveness of BI for organisations. The research proposes a BI effectiveness model to enhance decision-making support by ensuring that decision-makers receive the right information at the right time in the most appropriate format. A quantitative research approach was followed, and purposive sampling was used for selecting research participants within an organisation in the telecommunications sector. The effectiveness of a BI department has a direct impact on the strength of an organization's decision-making capability. The components of the BI effectiveness model suggest focus areas for more effective information flow throughout the organisation, improved information accessibility, improved decision-making, and ultimately, improved productivity.

Service Design Handover to user experience design – a systematic literature review

Knowledge transfer plays an important role in digital Service Creation Projects where information should flow through service design, Agile UX, and software implementation phases. One context for these handovers exists in projects where the service designers participate in the early phases of exploring and scoping the service, while agile user experience specialists take over the digital parts of service design and programmers the software implementation. The purpose of this study is to summarise scientific knowledge into best practices for effective information flow in real world Service Creation Projects. Special attention is paid on an important and understudied project phase, knowledge handover from service design to software implementation, which is referred as Service Design Handover in this study. A systematic literature review was conducted to analyse the current scientific knowledge on knowledge transfer in digital Service Creation Projects. PRISMA 2020 statement was used for reporting the review, which also influenced planning and execution of the systematic review process. SCOPUS search brought up 773 publications, and the full content analysis was done for the 41 most relevant publications. Based on the literature analysis, the best practices for effective knowledge transfer are related to communication quality and quantity, circumventing the need for communication, and verifying successful communication. To provide an overview of effective knowledge transfer, frameworks of Service Creation Project information flow and Service Design Handover are proposed. The existing knowledge transfer literature is voluminous, but this literature review is the first to study knowledge transfer in Service Creation Project context. The framework, best practices, and list of potential problem sources in knowledge transfer provide new knowledge for managing the information flow in service creation. The research gaps found in this literature review show the need for future research, such as empirical studies on service creation practice. • First systematic literature review on Service Design Handover. • Information flow framework for Service Creation Projects. • Initial framework for Service Design Handover to Agile UX. • Service vision, user stories and prototype are the most critical boundary objects for the Service Design Handover.

Influence of Communication Structure on Employee Performance in Selected Large Manufacturing Businesses in Eritrea

Purpose: This research is intended to determine the influence of communication structure on employee performance in selected large manufacturing businesses in Eritrea. Manufacturing organizations, particularly the manufacturing businesses in Eritrea, face challenges in terms of increasing productivity. Having suitable communication structure can play a role and supports employees to achieve the required level of performance in the manufacturing businesses.&#x0D; Methodology: The study used a quantitative research design to obtain a quantitative data. The target population for this study was employees of the selected large manufacturing businesses in Eritrea with a population size of 4175 employees. The sample size considered in this study was 365 employees, which was statistically determined using Taro Yamane formula. They were selected from each selected large manufacturing businesses using proportionately stratified random sampling technique. Data was then collected using questionnaire and analyzed using both the descriptive analysis (percentage) and inferential statistical analysis (correlation, regression and ANOVA) methods. SPSS as a tool was used to conduct the descriptive and inferential statistical analysis. The analyzed data was then presented in tabular form and interpreted statistically. &#x0D; Findings: The study finding indicate that there was a significant positive relationship between communication structure and employee performance. The study concluded that communication structure did have influence on employee performance in the selected large manufacturing businesses in Eritrea.&#x0D; Unique Contribution to Theory, Practice and Policy: Organizational communication as a field is gaining interests in the scientific/academic community because it is very essential in all dimensions of organization’s performance. So, as this study shown that communication structure has a direct influence on employee performance in selected large manufacturing businesses in Eritrea, it has a contribution to the theoretical concepts on the field of communication and can be used as a base for further study/research. Also, the study noted that since communication structure determines the flow of information in an organization, effective communication structure is a prerequisite for improved employee performance. Thus, this study revealed that it is important to have a relevant communication policy that address to have effective communication structure through which effective information flows achieved and thus ensures improved employee performance in manufacturing sectors.

Prevalence of infodemic as a factor affecting COVID-19 vaccination acceptance: Literature survey and monitoring in Nigeria

Accelerated production of coronavirus disease 19 (COVID-19) vaccines restore hope in the fight against the infection however, vaccination rejection persisted globally due to infodemic. This is because infodemic of COVID-19 vaccine brought about fake news; deception and misinformation that influence vaccine refusal and that has play a major role in decreasing the vaccination uptake among the general public. World health organization (WHO) viewed infodemic challenges as a top ten global threat to vaccination success as vaccine misreporting has kept trending in all media including social media, print, news releases, websites, etc. It is for the above reasons that the paper explored prevalence of infodemic as a factor affecting COVID-19 vaccination acceptance: literature survey and monitoring in Nigeria. This paper highlighted the concept of infodemic on COVID-19 vaccination acceptance. To achieve the main purpose of the study, the paper cross-examines infodemic as factor affecting COVID-19 vaccination acceptance in Nigeria and proffer solutions towards infodemic challenges and monitoring. The study concludes that effective information flow and monitoring toward successful vaccination be designed to combat infodemic in Nigeria. The study recommended that advanced information management technology be deployed for health workers just like in other develop countries as COVID-19 disease is universal crisis, centralized information management sharing be provided to prevent unacceptable and doctored information, public should be guided by health authorities and practitioners through education, sensitization and campaigns, provision of independent integrated platform for data-sharing and management to overcome the infodemic among others.

Механізм управління транспарентністю розвитку промислових підприємств в умовах конвергенції інвестиційних процесів на синектично-компенсаторній основі

It is determined that under the current conditions of intensification of competition struggle between domestic industrial enterprises and increasing market pressure from foreign competing firms, there is an urgent issue of highlighting the process of managing development transparency as one of the most important criteria for efficiency of the activities. The mechanism for managing the transparency of enterprise development on a synectic-compensatory basis, which is implemented in the context of convergence of investment processes, is formed due to the complex reflection of the dynamism and variability of economic interests and parametrization of the effective process of their balancing in a dynamic model of formation and use of the development potential of enterprises and in the presence of high quality of managerial decisions in comparison with competitors, which provides industrial enterprises with a competitive position in the market and forms a sustainable level of their development. That is, the effectiveness of managing the transparency of the development of industrial enterprises in the context of convergence of investment processes will be determined by the ability of the management system to achieve the set goals, outlining the need for their systematic and analytical research. It is appropriate to assess the quality and efficiency of the management system at industrial enterprises through the construction of a balanced system of signifiers and indicators, which is the basis for assessing the effectiveness of enterprises’ operation and is aimed at achieving their strategic goals. The unity of the backbone basis of the developed management mechanism in accordance with the managerial efficiency is confirmed by the consolidation of the elements of its construction, which is actualized in the format of accumulation of changes as a reflexive reaction to the processes of transformation. This allows to comprehensively manage all components of transparency in the development of enterprises in order to increase their efficiency, optimal organization of investment, supply, production and sales activities of the enterprise, reduce logistics costs, provide production with the necessary material resources and their effective use, optimize material, financial and information flows.

What factors contributes to success in an event project? A case study of the learning experiences of students in a Project Management course.

As part of the 2022 Norwegian Skiing Championship, the students at Harstad Business School, UiT the Arctic University of Norway, conducted a successful project event called ‘Sidetrack’ to provide fun and enjoyment for the public and the participants. Our study is based on qualitative interviews with eight students to reveal their learning experiences in relation to factors that contributes to the ‘Sidetrack’ project event being a success. The findings show that in the initial phase of the project it`s important to create support and commitment to the project idea. The implementation of well-planned idea and concept workshop and a report from the process, formed the basis for the activities to take place and are key factors for the success of the ‘Sidetrack’ project event. A further important success factor is the establishment of a clearly defined project organization with a project manager, deputy manager and group leaders for each area of work, where group members can choose tasks and roles based on their experience, knowledge, and skills. The results of the ‘Sidetrack’ project are dependent on factors like good infrastructure that enables effective information and communication flow and regular meetings for status reports, reflection, learning and further progress within and between project groups, related to a well thought out project plan. Common goals and good information, communication and interaction among the project members are factors that created committed, high-performing teams, which also contributed to the ‘Sidetrack’ project`s success.