Management Support Research Articles

Research on classified prediction algorithm of platform customer value based on "tree" concept

The concept of "trees," representing decision trees, random forests, and XGBoost algorithms, has gained increasing attention in the field of classification prediction in recent years. These tree-based machine learning algorithms have been widely applied in the e-commerce sector. This paper discusses the decision tree, random forest, and XGBoost algorithms individually, and extracts useful classification rules from large volumes of online customer data to provide intelligent decision support for computer network customer management. The study finds that algorithms related to the "tree" concept can integrate a customers current value (such as purchasing behavior) with potential value (such as customer interest inferred from online reviews) through detailed classification criteria, thereby constructing a customer value measurement model. The evolution from decision trees to random forest and XGBoost algorithms has effectively promoted research on customer value hierarchy prediction, improving the efficiency of data mining in computer networks.

Translanguaging Dynamics in Non-Native English Classrooms

This research investigates the pragmatic applications of code-switching employed by English language instructors in the pedagogical context, aiming to discern its role during interactions within the English teaching and learning process. The study, conducted in Lalitpur across three educational institutions, observed over 15 classes taught by five different educators. Utilizing interpretive ethnography within a qualitative research paradigm, the methodological framework involved meticulous observation, audio-visual recordings, and subsequent transcription for data collection and analysis. The findings revealed that code-switching in the English as a Foreign Language (EFL) classroom serves as a facilitative tool for enhancing interactions during the learning process. The identified purposes of code-switching by teachers during instructional activities include clarification, reiteration, explanation, inquiry, translation, assessment of comprehension, emphasis on linguistic elements, inferential communication, vocabulary development, facilitation of class discussions, provision of feedback, support for memorization, classroom management, and entertainment.

Parametric modeling and engineering application of the high-speed continuous beam bridge based on Building Information Modeling.

To improve the informatization and intelligence level of high-speed railway (HSR) bridge construction, a parametric modeling method for continuous beam bridges based on Building Information Modeling (BIM) is proposed in this study. By this method, the parametric families of continuous beam components and key construction machinery are established, and the rapid modeling of overall continuous beam bridge and the simulation of critical construction process are realized as well. Taking the Caoxian-Shangqiu bridge of Xiong'an-Shangqiu HSR as a case study, the parametric modeling method is applied to conduct the engineering application on the prestressed duct layout and rebar clash detection. The results indicate that the modeling efficiencies of HSR continuous beam bridge and construction machinery are significantly increased by the established parametric modeling method. Based on the BIM model of continuous beam bridge, the improvement in the precision of prestressed duct layout and the elimination of rebar clash points can be achieved. The research achievement can guide the visualization of construction disclosure, enhance construction efficiency, and provide reference and technical support for the construction management and control of HSR continuous beam bridges.

Discussion on the production mechanism of deep coalbed methane in the eastern margin of the Ordos Basin

This study builds upon the research progress in the theories of CBM desorption, diffusion, and seepage flow to explore the production mechanisms of deep coalbed methane (CBM) in the Daing-Jixian block, aiming to achieve scientific and reasonable control of gas wells. Theoretical analysis suggests that CBM adsorption belongs to liquid–solid interfacial adsorption, encompassing four stages: liquid phase adsorption—liquid phase desorption—composite desorption—gas phase desorption. Most of the desorbed gas is driven by a pressure differential in a Darcy's flow process. By calculating the Knudsen number (Kn) under various temperature, pressure, and fracture diameter conditions, the flow state can be identified. Whole-diameter CT scanning reveals a multi-scale pore-fracture system ranging from millimeters to micrometers to nanometers. Calculations show that during the gas well drainage and depressurization process, fractures of millimeter scale and larger exhibit Darcy's flow, while micron-scale fractures maintain Darcy's flow status above a reservoir pressure of 5 MPa; other scales primarily exhibit non-Darcy flow without significant macroscopic movement. In summary, starting from the fundamental mechanisms of the original multiscale tri-level pore-permeability system of the coal reservoir, through the post-fracturing transformation forming three diversion zones of high, medium, and low conductive regions, and transitioning from primarily free gas to desorbed gas in three production stages, an ideal comprehensive production model schematic for the study area has been established, providing theoretical support for on-site production management.

Adipura: Good Environmental Governance Perspective and Fiscal Challenges

The research emphasizes the effectiveness of Adipura as an instrument for monitoring the performance of local governments in waste management from the perspective of good environmental governance. Focus study on public participation and fiscal challenges. This is a qualitative research. The main data source from the National Waste Management Information System (NSWMIS) and in-depth interviews with central and local government, members of the Adipura Advisory Board, and the communities. Also supported by secondary data relevant to the study. The purpose of research are to determine the extent of the effectiveness of Adipura and to analysis the factors that must be improved to increase its effectiveness. The results indicate that the placement of Adipura as an instrument for monitoring the performance of regional waste management is appropriate, but still needs to be improved because the impact of Adipura has not been maximized in encouraging sustainable waste management in the region. It is necessary to recalculate the components and subcomponents of Adipura, by adding Non-Physical Components, increasing the portion of public participation and fiscal support for waste management.

Big-data-driven approach and scalable analysis on environmental sustainability of shared micromobility from trip to city level analysis

Shared e-scooters (SES) have recently gained popularity, but their environmental sustainability remains debatable. This study develops a data-driven and scalable method based on big data and data fusion from multiple sources to comprehensively analyze substitutions and the environmental impacts of SES from trip to city level analysis. Field trip transaction data in three major Swedish cities (Stockholm, Gothenburg, and Malmö) are leveraged for empirical analysis considering mode choice behavior. The results reveal that most SES trips (86.7% in Stockholm, 85.6% in Gothenburg, and 85.3% in Malmö) replace walking or public transport, while the proportion substituting private car and taxis is less than 12%. On average, each SES trip increases in CO2−eq emissions (34.58 g in Stockholm, 21.18 g in Gothenburg, and 24.07 g in Malmö). Only a limited percentage of SES trips (19.20% in Stockholm, 24.22% in Gothenburg, and 23.94% in Malmö) and a small percentage of urban areas with SES (8.3% in Stockholm, 7.48% in Gothenburg, and 2.02% in Malmö) demonstrate positive environmental effects from SES. The substitution and environment impacts of SES vary significantly across different trips spatially and temporally, emphasizing the importance of conducting trip-level analyses. The analysis provides quantitative insights into the sustainability of SES in Nordic contexts, offering potential support for sustainable management in a variety of urban contexts.

Interdisciplinary perspective on architectural programming: current status and future directions

PurposeArchitectural programming, as a critical phase in construction projects, has been widely recognized for its importance and advantages throughout the construction process. With the rapid development of the socioeconomic landscape, architectural programming has garnered increasing attention from various other disciplines, becoming a key trend in interdisciplinary collaboration. This study aims to provide a comprehensive understanding of the current status and future directions of architectural programming from an interdisciplinary perspective through scientometric analysis and systematic review.Design/methodology/approachThis study first collected English journal articles on architectural programming published between 1975 and 2024 from the Web of Science and Scopus databases. After an initial screening of titles and abstracts, 515 articles were selected for scientometric analysis to reveal the current state and advantages of architectural programming research in multidisciplinary fields. Subsequently, a second screening of full-text articles identified 75 journal articles for systematic review, focusing on research topics and challenges in interdisciplinary applications.FindingsThe study reveals an exponential increase in the number of papers related to architectural programming between 1975 and 2024, particularly in the last decade. Six key research topics of architectural programming in multidisciplinary fields were identified: (1) performance optimization and evaluation, (2) digitalization and automation development, (3) project management and decision support, (4) improvement of human and social welfare, (5) sustainable resources and environment and (6) educational practices of architectural programming. Additionally, the study identified the main challenges in the interdisciplinary application of architectural programming, including (1) incompatibility among disciplines, (2) limitations of data and methodologies and (3) insufficient social engagement. To address these challenges, three potential future directions were proposed: (1) establishing interdisciplinary teams and platforms, (2) enhancing multi-source data integration and digital transformation and (3) improving governance mechanisms and educational training.Originality/valueBy combining quantitative and qualitative methods, this study provides a comprehensive review of architectural programming research and applications in multidisciplinary fields, offering theoretical foundations and practical references for the future development of architectural programming. This review not only aids in understanding the overall status of current architectural programming research but also offers valuable insights and recommendations for future research directions and practical applications.

The Role of Logistics Management in Supporting Goods Management for Equitable Distribution and Impact on Regional Economic Growth

The purpose of this study is expected to be able to build a hypothesis regarding the influence between variables that can later be used for further research in the scope of logistics management. The article on the role of logistics management in supporting the management of goods for equitable distribution and having an impact on regional economic growth is a scientific literature article in the scope of logistics management. The approach or method used in this literature review research is descriptive qualitative. The data collection technique is to use literature studies or conduct a review of relevant previous articles. The data used in this descriptive qualitative approach comes from previous research that is relevant to this research and is sourced from academic online media such as the Thomson Reuters Journal, Springer, Taylor & Francis, Scopus Emerald, Sage, WoS, Sinta Journal, DOAJ, EBSCO, Google Scholar and digital reference books. In previous studies, 1 relevant previous article was used to review each independent variable. The results of this literature review article are: 1) Logistics Management plays a role in Equitable Distribution; and 2) Logistics Management plays a role in Regional Economic Growth.

Remote Sensing Monitoring and Multidimensional Impact Factor Analysis of Urban Heat Island Effect in Zhengzhou City

In the 21st century, the rapid urbanization process has led to increasingly severe urban heat island effects and other urban thermal environment issues, posing significant challenges to urban planning and environmental management. This study focuses on Zhengzhou, China, utilizing Landsat remote sensing imagery data from five key years between 2000 and 2020. By applying atmospheric correction methods, we accurately retrieved the land surface temperature (LST). The study employed a gravity center migration model to track the spatial changes of heat island patches and used the geographical detector method to quantitatively analyze the combined impact of surface characteristics, meteorological conditions, and socio-economic factors on the urban heat island effect. Results show that the LST in Zhengzhou exhibits a fluctuating growth trend, closely related to the expansion of built-up areas and urban planning. High-temperature zones are mainly concentrated in built-up areas, while low-temperature zones are primarily found in areas covered by water bodies and vegetation. Notably, the Normalized Difference Built-up Index (NDBI) and the Normalized Difference Vegetation Index (NDVI) are the two most significant factors influencing the spatial distribution of land surface temperature, with explanatory power reaching 42.7% and 41.3%, respectively. As urban development enters a stable stage, government environmental management measures have played a positive role in mitigating the urban heat island effect. This study not only provides a scientific basis for understanding the spatiotemporal changes in land surface temperature in Zhengzhou but also offers new technical support for urban planning and management, helping to alleviate the urban heat island effect and improve the living environment quality for urban residents.

Spatiotemporal Dynamics of Ecosystem Water Yield Services and Responses to Future Land Use Scenarios in Henan Province, China

Water yield (WY) service is the cornerstone of ecosystem functionality. Predicting and assessing the impact of land use/land cover (LULC) changes on WY is imperative for a nation’s food security, regional economic development, and ecological environmental protection. This study aimed to evaluate the water yield (WY) service in Henan Province, China, using high-resolution (30 m) remote sensing land use monitoring data from four study years: 1990, 2000, 2010, and 2020. It also utilized the PLUS model to predict the characteristics of LULC evolution and the future trends of WY service under four different development scenarios (for 2030 and 2050). The study’s results indicated the following: (1) From 1990 to 2020, the Henan Province’s WY first increased and then decreased, ranging from 398.56 × 108 m3 to 482.95 × 108 m3. The southern and southeastern parts of Henan Province were high-value WY areas, while most of its other regions were deemed low-value WY areas. (2) The different land use types were ranked in terms of their WY capacity, from strongest to weakest, as follows: unused land, cultivated land, grassland, construction land, woodland, and water. (3) The four abovementioned scenarios were ranked, from highest to lowest, based on the Henan’s total WY (in 2050) in each of them: high-quality development scenario (HDS), business-as-usual scenario (BAU), cultivated land protection scenario (CPS), and ecological protection scenario (ES). This study contributes to the advancement of ecosystem services research. Its results can provide scientific support for water resource management, sustainable regional development, and comprehensive land-use planning in Henan Province.

A Domain-Specific Lexicon for Improving Emergency Management in Gas Pipeline Networks through Knowledge Fusing

Emergencies in gas pipeline networks can lead to significant loss of life and property, necessitating extensive professional knowledge for effective response and management. Effective emergency response depends on specialized knowledge, which can be captured efficiently through domain-specific lexicons. The goal of this research is to develop a specialized lexicon that integrates domain-specific knowledge to improve emergency management in gas pipeline networks. The process starts with an enhanced version of Term Frequency–Inverse Document Frequency (TF-IDF), a statistical method used in information retrieval, combined with filtering logic to extract candidate words from investigation reports. Simultaneously, we fine tune the Chinese Bidirectional Encoder Representations from Transformers (BERT) model, a state-of-the-art language model, with domain-specific data to enhance semantic capture and integrate domain knowledge. Next, words with similar meanings are identified through word similarity analysis based on standard terminology and risk inventories, facilitating lexicon expansion. Finally, the domain-specific lexicon is formed by amalgamating these words. Validation shows that this method, which integrates domain knowledge, outperforms models that lack such integration. The resulting lexicon not only assigns domain-specific weights to terms but also deeply embeds domain knowledge, offering robust support for cause analysis and emergency management in gas pipeline networks.

THE IMPACT OF GREEN INNOVATION ON PERFORMANCE AND COMPETITIVE ADVANTAGE: TOP MANAGEMENT COMMITMENT AS MODERATOR

The primary objective of study is to investigate effect of green innovations on firms' performance & competitive advantage. Top management's long-term support is a prerequisite for the effective implementation of the green innovation initiatives. Hence, second objective is to highlight moderating role of top management commitment. 350 duly filled questionnaires were received with response rate of 70%. The results of SEM analysis performed in Smart PLS show that green innovation practices significantly contribute to the financial performance, environmental performance, and competitive advantage of firms working in food and beverage industry. Moreover, the findings of this study reveal that top management commitment to green initiatives enhances the impact of green innovation practices. Environment ethics, green product development innovation, green process innovation, and market demand for green products, all contribute to environmental performance of firms. The study offers significant results and suggests that policymakers support green innovation initiatives by providing financial and technical resources for achieving desired sustainable development & growth of firms.

Artificial intelligence for enhancing resilience

In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial intelligence (AI) in enhancing resilience across multiple domains. We explore how AI technology can be utilized to develop resilient infrastructure, providing advanced predictive maintenance and real-time monitoring capabilities that ensure robustness and longevity. The study examines the role of AI in improving disaster response, offering rapid data analysis and decision-making support to enhance emergency management outcomes. In climate change, AI-driven strategies are assessed for their effectiveness in fostering climate resilience, including predictive modeling of extreme weather events and optimizing resource allocation. The paper also discusses AI applications in healthcare resilience, such as enhancing diagnostics, patient care, and operational efficiency during crises. Business continuity and crisis management are examined, highlighting AI's capability to anticipate disruptions and maintain operational stability. The paper emphasizes the importance of strengthening cybersecurity resilience using AI to detect and mitigate threats proactively. AI's role in enhancing community and social resilience is analysed, particularly in supporting vulnerable populations and fostering social cohesion. Additionally, we explored AI-powered solutions for urban resilience, focusing on smart cities and sustainable development. The study also covers AI's contributions to environmental and ecological resilience, resilient supply chain management, and resilience in the hospitality and tourism industry. Finally, we investigated AI's potential in fostering psychological resilience, providing personalized mental health support and stress management tools. Through these diverse applications, the paper underscores AI's critical role in building a resilient future.

Considering temporality for SES analysis with reflections from urban food forests and orchards

ABSTRACT Social ecological systems research has noted various understandings and experiences of time, however, these engagements tend to be underdeveloped. In this paper, we consider how SES analyses can make diverse experiences of time more apparent and better support SES research, management, and policy making. To consider how diverse temporal experiences might be better integrated in SES, we sketch how time and temporality have been addressed in SES research and in the social sciences and humanities. We argue that insights from social science and humanities, as well as other adjacent disciplines, have paved the way for thinking critically, relationally, and intentionally about time and temporality. To illustrate how temporality can be considered and the usefulness of such consideration, we discuss conceptual insights in relation to a series of vignettes from ongoing research in urban food forests and orchards. Bringing together these insights and key concerns of SES research, we propose a series of questions for explicitly engaging with temporality, oriented around the concepts of relational change, space and place and bodies and practice. We suggest that a more explicit and critical temporal focus is vital for SES scholars’ recent calls and efforts to more meaningfully engage with diverse ontologies, world views, and experiences.

Navigating post-pandemic challenges through institutional research networks and talent management

Institutions actively seek global talent to foster innovation in the contemporary landscape of scientific research, education, and technological progress. The COVID-19 pandemic underscored the importance of international collaboration as researchers and academicians faced limitations in accessing labs and conducting research experiments. This study uses a research collaboration system to examine the relationship between organizational intellectual capital (Human and structural Capital) and team scientific and technological performance. Further, this study underscores the moderating role of top management support. Using a time-lagged study design, data were collected from 363 participants in academic and research institutions. The results show a positive relationship between organizational intellectual capital (Human and structural Capital) and team scientific and technological performance using a research collaboration system. Moreover, top management support positively moderates the study’s hypothesized relationships. The study’s findings contribute significantly to existing knowledge in this field, with implications for academia, researchers, and government focused on technology transmission, talent management, research creative collaboration, supporting innovation, scientific research, technological progress, and preparing for future challenges.

Determinants of Internal Audit Effectiveness in Local Government Authorities (LGAs): Evidence from Morogoro Region of Tanzania

This study examines the determinants of internal audit effectiveness in Local Government Authorities (LGAs), addressing the growing importance of robust Internal Audit Function (IAF) in public sector governance. The study employed the descriptive research design based on a mixed research approach integrating both qualitative and quantitative approaches. Data were collected from 45 purposively selected respondents with extensive auditing experience. A multiple linear regression model was used to assess the impact of these factors on internal audit effectiveness. The empirical results indicate that the four factors account for 65.7% of the variance in internal audit effectiveness, with IT utilization being the most significant contributor (R² = 0.657, Adjusted R² = 0.616). The ANOVA results further validate the model, showing a statistically significant F-statistic of 3.2976 with a p-value of 0.001, indicating the robustness of the findings. Top management support was found to be critical in fostering a culture of accountability, while the independence of internal audit ensures objectivity and unbiased assessments. IT utilization was identified as a key driver in enhancing the efficiency and reliability of audit processes. Finally, the competence of internal auditors was shown to significantly influence the quality and accuracy of audit outcomes. The study recommends the need for institutionalizing top management support, safeguarding auditor independence, advancing IT utilization, and promoting continuous professional development for auditors. These measures are essential for improving governance and accountability within LGAs, thereby contributing to more effective and reliable internal audit practices.

WP5.2 - Acute Pancreatitis: challenging the relevance of the modified Glasgow score and bridging the gap to optimise management

Abstract Aims Acute pancreatitis is a frequently encountered emergency surgical presentation, with an incidence of 56 cases per 100,000 per year. 10%- 20% of patients develop a rapidly progressive inflammatory response with an overall mortality rate of 5%. Deciding the need for intervention during pancreatitis is variable. Predicting severity is challenging and multifactorial. Scoring systems aid in standardisation of treatment, however they do not factor in the evolving knowledge on factors that predict mortality in severe acute pancreatitis. The aim of this audit was to identify any gaps in optimising the management of acute pancreatitis. Methods Prospective data was collected between January 2023 – May 2023 and analysed against current NICE and UK working Party on Acute Pancreatitis guidelines. Results 41 patients were identified with a median age of 60 (53.7% male, 46.3% female). No cases required admission to intensive care. Gallstones (56.2%) and alcohol (19.6%) were identified as leading causes. Key gaps in management were identified: 12.2% of patients were scored via the modified Glasgow score, 24.4% received antibiotics without a clinical indication, 34% received aggressive fluid therapy and 19.5% received education on disease diagnosis and management. Conclusion Supportive management can be optimised, with a significant need to address patient education to minimise recurrence. Our data supports the use of targeted scoring systems in patients who are already critically ill. As the majority of cases were mild, we propose that the Modified Glasgow score is a useful aide but should not replace clinical judgment and careful monitoring of patients. Potential ambulatory pathways could be considered for mild acute pancreatitis.

Developing Evidence-Based Practices: Lessons Learned from Implementing a Collaborative, Cross-Agency Substance Use Family Intervention

ABSTRACT Me and my family is a knowledge-based motivational program that includes eight weekly therapeutic sessions provided via the social services for families in which parent(s) have substance use problems (SUP). Purpose The aim of this study was to report experiences gained while conducting the research project, in which social workers’ active participation was a core feature. Materials and method Guided by the implementation framework AIF (Active Implementation Framework) data were collected from multiple sources, such as minutes from guidance sessions, meetings with managers, booster days, and transcriptions of focus group interviews with social workers. Results Findings indicate that social workers need to receive training in research activities before program start and to have time for pre- and post-therapeutic session reflections To deliver and maintain an intervention like Me & my Family require cross-sectional cooperation and staff having academic degrees to develop reflections on program delivery. Research design experiences indicate that RCT methods proved difficult to accomplish. An additional finding was organizational structures in silos as a barrier to recruiting families. Conclusion Involving social workers in doing research on practices concern needs for managerial support regarding scheduling, routines and interest in evidence-based practice, well-educated social workers, and special attention to research design in relation to clients’ needs. Conclusions drawn from using the AIF framework include the need for continuous coaching and consultations as well as feed-back on results.

Rational design of a multi-epitope vaccine against heartland virus (HRTV) using immune-informatics, molecular docking and dynamics approaches

Heartland virus (HRTV) is a single-stranded negative-sense RNA virus that infects human beings. Because there are no antiviral medications available to treat HRTV infection, supportive care management is used in cases of severe disease. Therefore, it has spurred research into developing a multi-epitope vaccine capable of providing effective protection against HRTV infection. A multi-epitope vaccine was created using a combination of immuno-informatics, molecular docking and molecular dynamics simulation in this investigation. The HRTV proteome was utilized to predict B-cell, T-cell (HTL and CTL), and IFN-epitopes. Following prediction, highly antigenic, non-allergenic and immunogenic epitopes were chosen, including 6 CTL, 8 HTL, and 5 LBL epitopes that were connected to the final peptide by AAY, GPGPG, and KK linkers, respectively. An adjuvant was introduced to the vaccine's N-terminal through the EAAAK linker to increase its immunogenicity. Following the inclusion of linkers and adjuvant, the final construct has 359 amino acids. The presence of B-cell and IFN-γ-epitopes validates the construct's acquired humoral and cell-mediated immune responses. To ensure the vaccine's safety and immunogenicity profile, its allergenicity, antigenicity, and various physicochemical characteristics were assessed. Docking was used to assess the binding affinity and molecular interaction between the vaccination and TLR-3. In silico cloning was used to confirm the construct's validity and expression efficiency. The results of these computer assays demonstrated that the designed vaccine is highly promising in terms of developing protective immunity against HRTV; nevertheless, additional in vivo and in vitro investigations are required to validate its true immune-protective efficiency.

Pengaruh Penerapan Budaya Agile terhadap Keterlibatan dan Kinerja Karyawan PT. ASDP Indonesia Ferry (Persero)

This research explores the impact of implementing Agile Culture on employee engagement and performance at PT ASDP Indonesia Ferry. Through a quantitative approach with a cross sectional survey design, data was collected from randomly selected employees. The analysis results show that Agile Culture has a significant influence on employee engagement and performance. Although the structural model showed low predictive power, the results of validity and reliability tests confirmed consistency in variable measurement. These findings confirm the great potential of Agile Culture in creating a responsive and productive work environment. The practical implication is that PT ASDP Indonesia Ferry can strengthen the implementation of Agile Culture through training and managerial support, while paying attention to factors that influence the predictive power of the model. Recommendations for further research include expanding the variables and sample population for a deeper understanding of the impact of Agile Culture. In conclusion, this research confirms that Agile Culture is an effective strategy in increasing employee engagement and performance, providing a foundation for the development of more effective HR strategies in the future.