Field Of Management Research Articles

Technical note: Computational study on thermal management schemes for tumor-treating fields therapy.

The study focuses on thermal management in tumor-treating fields (TTFields) therapy, crucial for patient compliance and therapeutic effectiveness. TTFields therapy, an established treatment for glioblastoma, involves applying alternating electric fields to the brain. However, managing the thermal effects generated by electrodes is a major challenge, impacting patient comfort and treatment efficiency. This research aims to explore methods for controlling temperature increases during TTFields therapy without reducing its duty cycle. The study emphasizes optimizing electrode configurations and array arrangements to mitigate temperature rise, thereby maintaining therapy effectiveness and patient compliance. Using a simplified multi-layer tissue model and finite element analysis, various electrode configurations and array shapes were tested in COMSOL Multiphysics v6.0. Adjustments included changing the electrode gel layer radius from 8 to 12mm, electrode spacing, and transitioning to a more uniform array arrangement, such as a square array or a circular array. The study revealed a strong correlation between high temperatures and edge current density distributions on electrodes. It was found that increasing the electrode gel layer's diameter, enlarging electrode spacing, and adopting a uniform array arrangement markedly mitigated temperature rises. By increasing the gel layer radius from the original 10 to 12mm, a reduction in the peak temperature increases of approximately 0.3°C was observed. Changing the layout from rectangular to circular with the same area further reduced the peak temperature rise by 0.5°C. Additionally, enlarging the spacing between electrodes also contributed to temperature control. By integrating these strategies, we designed a new circular electrode array with an electrode spacing of 45mm and a gel radius of 12mm, successfully reducing the peak temperature from 42.1°C to 40.8°C, effectively achieving temperature control. The research demonstrates that improving electrode and array configurations can effectively manage temperature in TTFields therapy without compromising treatment duration. This strategy is crucial as TTFields therapy relies on prolonged field exposure for effectiveness. The findings offer valuable insights into thermal management in electrode array design and could lead to enhanced patient compliance and treatment efficacy in TTFields therapy.

The impact of cross-organizational private relationships on cooperative behavior in construction projects: evidence from Chinese construction industry

PurposeAntagonistic relationship among the participants of construction projects has significantly improved, and further improving cooperation quality are committed. In this context, expanding new ways to improve cooperation quality has become a new topic in cooperation research. This study is dedicated to exploring the mechanism of cross-organizational private relationships on cooperative behaviors, which is rarely addressed in current research on construction projects, and provides reference for the rational use of cross-organizational private relationships.Design/methodology/approachBased on analysis of studies related to relational governance theory, institutional theory and project complexity, this study constructs the theoretical model. This study uses survey data from 395 construction professionals in China to test the theoretical model by using structural equation modeling (SEM) and explains the direct and indirect mechanism of cross-organizational private relationships on cooperation behavior.Findings(1) Cross-organizational private relationships have direct and indirect facilitating effect on cooperation behavior. (2) Relational norms as mediating variables contribute to the expansion of the positive effects of cross-organizational private relationships on cooperation behavior. (3) Institutional environment and project complexity have the moderating effect between cross-organizational private relationships and cooperation behavior.Originality/valueThis research investigates the impact mechanisms and boundary conditions of cross-organizational private relationships at the micro level on the cooperative behaviors in construction projects and conducts empirical research. It is a topic that has not been adequately researched in the field of project management. The research results expand the scope of research on relational governance and deepen the research on the antecedents of relational norms. It provides the base for the proposed contingency theory of relational governance.

How do environmental factors shape entrepreneurial intention? A review and future research

AbstractEntrepreneurial intention plays a critical role in the economic growth and development of countries. As a result, an increasing number of studies have examined different antecedents of entrepreneurial intention to understand how to foster entrepreneurial intention in a country. This research focuses on macro-environmental-related factors and endeavors to provide a more comprehensive understanding of the critical factors in these areas that can impact entrepreneurial intention. A total of 40 studies from high-ranked journals were systematically identified and analyzed in the field of entrepreneurship and management. This review sheds light on details of the key cultural, regional, and economic factors as well as governmental and political factors and highlights how they impact entrepreneurial intention. It also provides some suggestions for future research directions. While some systematic literature review papers have been conducted on entrepreneurial intention and its antecedents, environmental factors have only been identified broadly as key antecedents. This research systematically reviews the existing papers and unravels different aspects of these factors and explains how they impact entrepreneurial intention. In addition, it sheds light on related future research directions.

Optimization and Benefit Assessment of Production Supply Chain Networks Using Graph Neural Network Models

With the flourishing development of global economy, effective management of production supply chains is crucial for the competitiveness of enterprises. Optimizing supply chain networks can not only improve the efficiency of resource allocation but also enhance market responsiveness and systemic risk resistance. Traditional supply chain network optimization methods, focusing mostly on linear models and static analysis, fall short in addressing the growing complexity and dynamism. The emergence of Graph Neural Network (GNN) models in recent years has offered new opportunities to tackle non-linearity and structural dynamism in supply chain networks. However, existing research still faces methodological limitations in supply chain node relationship mining and benefit assessment. This study introduces an optimization and benefit assessment method for production supply chain networks based on GNNs. Firstly, by developing a node role type-aware graph neural network model, this paper achieves in-depth mining and optimization of node relationships within production supply chain networks. Secondly, a hierarchical factor analysis method is used to comprehensively assess the benefits of the production supply chain. This method can dynamically capture changes in node roles and relationships within the supply chain network, optimize the network structure, and provides a multidimensional, multilevel framework for benefit assessment. This study not only expands the application of GNN in the field of supply chain management but also provides a new analytical tool for the comprehensive assessment of supply chain benefits.

Highly Stable, Bending-Tolerant, and Sustainable Flexible Heater through a Scalable Papermaking Procedure

Flexible electrothermal heaters have attracted abundant attention in recent years due to their wide applications, but their preparation with high efficiency remains a challenge. Here in this work, a highly stable and bending-tolerant flexible heater was fabricated with graphite nanosheets and cellulose fibers through a scalable papermaking procedure. Its electrothermal property can be enhanced by a hot-pressing treatment and introduction of cationic polyacrylamide (CPAM) during the papermaking protocol. The flexible heater may quickly reach its maximum temperature of 239.8 °C in around 1 min at a voltage of 9 V. The power density was up to 375.3 °C cm2 w−1. It appeared to have a high tolerance for bending deformation with various curvatures, and the temperature remained stable even under 100 bending with frequency of around 0.17 Hz. Over 100 alternatively heating and cooling cycles, it worked stably as well. It was proved to be used as wearable heating equipment, soft heaters, and aircraft deicing devices, suggesting its great prospect in the field of heat management.

Study on the intervention effect of HCH integrated SMG health management model on community high-risk group of cardiovascular disease

ObjectiveThis study aimed to evaluate the integration of the Hospital-Community-Home (HCH) model with the Self-Mutual-Group (SMG) health management model for high-risk populations with cardiovascular disease in the Yuhua community of Shijiazhuang city. The study focused on implementing care interventions (HCH, SMG) with a specific emphasis on SMG to promote beneficial views/behaviors, enhance self-efficacy/agency, and address detrimental determinants of health, ultimately leading to durable changes and healthier lifestyles. Comparing the HCH model with the combined SMG model helps to comprehensively assess the strengths and weaknesses of different health management approaches. This comparison contributes to theoretical innovation and practical development in the field of health management, as well as improving patients' health outcomes and quality of life.MethodsThis study employed a quasi-experimental design. Using stratified sampling, individuals who underwent health examinations in Community A and Community B from Shijiazhuang city between May 2023 and August 2023 were randomly selected. After informing the participants about the study and obtaining informed consent via telephone, high-risk patients with cardiovascular disease were screened based on their medical examination reports. Data on lifestyle behaviors, self-efficacy, medical responses, quality of life, and readmission rates were collected and compared before and after the intervention.ResultsA total of 526 eligible participants were included, with 241 in the control group and 285 in the study group. After the intervention, there was no significant change in the proportions of smokers, alcohol consumers, and individuals engaging in leisure exercises in the control group. However, in the study group, the proportions of smokers and alcohol consumers significantly decreased, while the proportion of individuals engaging in leisure exercises significantly increased. After the intervention, both the study group and the control group showed significant increases in scores on the General Self-Efficacy Scale—Schwarzer (GSES) and the Seattle Angina Questionnaire (SAQ), with the study group scoring significantly higher than the control group. Avoidance and surrender scores significantly increased after the intervention, with the study group scoring significantly lower than the control group. Confrontation scores significantly increased after the intervention, with the study group scoring significantly higher than the control group. During the follow-up period, the study group had a significantly lower readmission rate than the control group.ConclusionThe integration of HCH with SMG health management model can significantly improve lifestyle behaviors, optimize medical responses, enhance self-efficacy and quality of life, and significantly reduce readmission rates among high-risk populations with cardiovascular disease.

Digital educational content compilation sources

The development of digitalization of higher education leads to the emergence of new methods and means of learning. At present, information technologies are increasingly used, including distance learning, digital sources are used to create educational content, which opens new prospects for increasing motivation to study disciplines, activation of students’ activity in the learning process and, in general, for the professional success of university graduates. The article analyzes digital sources of spatial educational content compilation in mastering ecological and environmental educational disciplines and materials (by the example of bachelor’s training in the direction 21.03.02 Land management and cadastres). It is important for future specialists in the field of land management and cadastre to be able to use a variety of digital sources of data on the current state of land resources in their daily activities. The information sources in the form of spatial positioning public services, interactive topographic, geological and hydrological map, the map of dangerous exogenous geological processes manifestation, the map of territory functional zoning, the website of the Russian Federation hydrometeorological service management are shown and verified. It is important to use up-to-date geo-ecological and land-cadastral information when studying natural science disciplines, it is inadmissible to study outdated literary materials, inaccurate and unreliable data from electronic sources.

Progression of Customer Relationship Management 2010–2023: A Bibliometric Analysis

The Customer Relationship Management (CRM) has evolved into a key business application, by gradually creating its impact over the years, where the organization made it one of the imperative requirements of effective Business operation. CRM in recent years emerged as, a more Business and customer-oriented application. This study aims to analyze the relevance of Customer relationships concerning progress from Customer Relationship Management (CRM) in fields of Subject area, Countries that contributed to the field of research, Sources, affiliations, Authors, and funding sponsors. Science mapping techniques and performance analysis were applied in this process by Vos-Viewer Bibliometric software by extracting 1,940 Publications between 2010 and 2023 that are indexed in the SCOPUS database. The Bibliometric analysis denotes that 2010 was the year with a maximum of 144 publications indexed in the Scopus Database and 2023 had a dip at only 105 indexing. Author Smith, A.D. with 23 articles publications. The countries that participated the most are the United States of America followed by India and United kingdom. Commendably China was the highest funding sponsor to be specific it’s from the National Natural Science Foundation of China. The research papers had major Affiliations from the Hong Kong Polytechnic University followed by Robert Morris University in Pennsylvania and Georgia State University. The research significantly shows the progress and impact all over the world and is not restricted to any specific industry.

Integrated Weed Management: A Comprehensive Review of Conventional, Non-Conventional, and Emerging Strategies for Sustainable Agriculture

This manuscript comprehensively reviews integrated weed management (IWM) strategies, emphasizing the need for sustainable agricultural practices. It explores conventional methods, such as herbicide and mechanical control, and non-conventional techniques, including mulching, cover crops, and thermal methods. The review also delves into emerging technologies like precision agriculture, genomic approaches, and robotic weed control. The discussion is framed around five pillars of IWM: diverse cropping systems, cultivar selection, field and soil management, direct control, and monitoring and evaluation. Environmental and socioeconomic impacts of weed management are considered, highlighting the need for a new paradigm that integrates diverse control tactics to enhance agricultural resilience and sustainability.

Field Management in NiOx/β-Ga2O3 Merged-PIN Schottky Diodes: Simulation Studies and Experimental Validation

Abstract In recent years, p-type NiOx has emerged as a promising alternative to realize kilovolt-class β-Ga2O3 based PN junction diodes. However, only a handful number of studies have been performed to realize β-Ga2O3-based unipolar diodes using NiOx as guard-ring or floating rings. In this work, we investigated the device-design of NiOx/β-Ga2O3 unipolar diodes using Technology Computer Aided Design (TCAD) simulations and experimental validations. We show that a systematic electric field management approach can potentially lead to NiOx/β-Ga2O3 heterojunction unipolar diode offering improved breakdown characteristics without a serious compromise in ON-state resistance. Accordingly, NiOx/β-Ga2O3 heterojunction diode in merged-PIN Schottky configuration is shown to outperform the regular Schottky diode or junction barrier Schottky diode counterpart. The analysis performed in this work is thought to be valuable in device-design of β-Ga2O3-based unipolar diodes that use a different p-type semiconductor candidate as guard ring and floating rings.

The use of digital technologies for crisis management

Aim. To identify the role of digital technologies in the context of crisis management and the opportunities that digital tools provide for the development and growth of companies, even in the face of economic turmoil. To pay special attention to the study of effective practices of optimization and modernization of business processes using the latest digital tools, which con[1]tribute not only to increasing productivity and efficiency of business, but also its adaptation to rapidly changing market conditions.Objectives. To analyze the role of digital technologies in the context of crisis management, highlighting the opportunities that digital tools offer for the development and growth of companies, even in conditions of economic turmoil; to study the advantages of applying new business models using modern digital technologies; to consider the principle of operation of platform business models using examples and show the advantages of their use; to evaluate the financial performance of companies.Methods. The author applied the methods of complex and comparative analysis, as well as the study of foreign and domestic experience of digital transformation in crisis conditions. Considerable attention was paid to the work with periodicals, scientific articles and analytical reports in the field of crisis management and digitalization. In addition, methods of observation, generalization and comparison were used.Results. The study suggests that digital technologies contribute to improving the transparency and efficiency of business processes in crisis conditions. The main factors of successful digital transformation of organizations were identified and recommendations for their use were developed.Conclusions. According to the author’s position, the necessity of active use of innovative technologies in crisis management, as well as the importance of a strategic approach to digital transformation in a rapidly changing environment are obvious. The key element of successful crisis management is the active integration of digital technologies into business processes and the use of a strategic approach to digital transformation. Cultural and organizational aspects that ensure sufficient funding and management support are recognized as important factors. The use of online platforms allows organizations to effectively form a digital ecosystem, increasing competitiveness, which ultimately contributes to the successful achievement of business goals in a rapidly changing digital environment. The application of the proposed recommendations on the use of innovative technologies will help organizations not only to cope with the current crises, but will also contribute to their sustainable development and stabilization.

Silica-based aerogels encapsulate organic/inorganic composite phase change materials for building thermal management

Phase change energy storage materials are widely used in thermal management because they reduce energy consumption and effectively address issues such as energy supply and demand mismatches. However, challenges such as leakage in solid-liquid phase change materials (PCMs), flammability in organic solid-liquid PCMs, and supercooling and phase separation in inorganic solid-liquid PCMs still need to be resolved for their practical applications. In this study, we used methyl palmitate, dodecahydrate disodium hydrogen phosphate, and decahydrate sodium carbonate as the main PCMs, sodium carboxymethyl cellulose as an emulsifier and thickener, and silica aerogel as the encapsulating material to successfully prepare a novel shape-stabilized organic/inorganic composite PCM (CPCM). The prepared CPCM exhibits excellent shape stability and flame retardancy without supercooling or phase separation issues. In addition, the prepared CPCM has a high latent heat value (174.1 J/g) and a suitable phase transition temperature (22.9 °C), and its thermal performance remains basically unchanged after 100 heating/cooling cycles. Furthermore, this CPCM also demonstrates exceptional performance in building thermal management. This study provides a new solution to the problems of flammability, supercooling, phase separation and easy leakage of CPCM currently used in the field of building thermal management.

Assessing the global warming potential impact of organic fertilizer strategies in rice cultivation in Sri Lanka.

Rice is the staple food in Sri Lanka, and over 15% of the national land is allocated for rice cultivation. Greenhouse gas (GHG) emissions from rice fields account for 10% of national GHG emissions. The country has committed to reducing its emissions by 14.5% between 2010 and 2030 and achieving net zero emissions by 2060. In 2021, the country banned agro-fertilizer imports and opted for organic fertilizers, leading to a notable decrease in production and posing challenges to food security. However, the impact of adopting compost fertilizers alone remains unexplored. This study evaluated the global warming impact of two organic fertilizer strategies: switching to compost fertilizer instead of urea and applying rice straw compost instead of retaining crop residue. We applied the Denitrification and Decomposition model (DNDC 95) to rice field management data from Sri Lanka's Mahaweli H agricultural region. Simulations suggest that both strategies would increase the global warming potential of rice fields, mainly owing to elevated N2O emissions. This outweighs the mitigation benefits of avoiding crop residue retention and adding organic carbon through compost. Overall, our results point to the potential risk of shifting exclusively to compost-based fertilizers.

Intrinsically Flexible Phase Change Fibers for Intelligent Thermal Regulation.

Owing to the significant latent heat generated at constant temperatures, phase change fibers (PCFs) have recently received much attention in the field of wearable thermal management. However, the phase change materials involved in the existing PCFs still experience a solid-liquid transition process, severely restricting their practicality as wearable thermal management materials. Herein, we, for the first time, developed intrinsically flexible PCFs (polyethylene glycol/4,4'-methylenebis(cyclohexyl isocyanate) fibers, PMFs) through polycondensation and wet-spinning process, exhibiting an inherent solid-solid phase transition property, adjustable phase transition behaviors, and outstanding knittability. The PMFs also present superior mechanical strength (28 MPa), washability (> 100 cycles), thermal cycling stability (> 2000 cycles), facile dyeability, and heat-induced recoverability, all of which are highly significant for practical wearable applications. Additionally, the PMFs can be easily recycled by directly dissolving them in solvents for reprocessing, revealing promising applications as sustainable materials for thermal management. Most importantly, the applicability of the PMFs was demonstrated by knitting them into permeable fabrics, which exhibit considerably improved thermal management performance compared with the cotton fabric. The PMFs offer great potential for intelligent thermal regulation in smart textiles and wearable electronics.

Approach and avoidance mechanisms in the effects of algorithm transparency on the service performance of food-delivery riders

ABSTRACT The advent of the digital era has seen algorithmic decision-making become ubiquitous in online service platform management. However, the lack of algorithm transparency has been widely reported as a barrier to successful human-machine collaboration. Drawing on self-regulation theory, this study explores the effects of algorithmic transparency on the approach and avoidance behaviours of 265 food-delivery riders on online platforms in China. Results from our two-wave survey show that algorithm transparency can improve the service performance of food-delivery riders by inspiring their task crafting along an approach path and reducing their negative work rumination along an avoidance path. The extent to which riders perceived the algorithmic allocations of their work tasks as just or unjust have an effect on whether riders engaged with task crafting or negative rumination. Specifically, perceiving low algorithmic injustice can strengthen the effect along the approach pathway and weaken the effect along the avoidance pathways. This study advances empirical research on algorithmic transparency in the fields of platform economy and service management, while providing practical insights for platform companies to develop, design, and apply algorithmic systems in ways that mutually benefit themselves and their workers.

The use of big data analytics for human resource management in an organization

Aim. To examine the application of big data in the field of human resource management and in organizational network analysis as a methodology to study the patterns of employee interaction within a formal organizational structure to improve the effectiveness of the human resource management system.Objectives. Theoretical analysis of existing methodologies for evaluating data on human resources of an organization to provide new opportunities for enterprise transformation; identification of hidden information on human resources and its use for internal staff development, retention and training; study of the possibilities of using organizational network analysis (ONA) to improve the effectiveness of human resource management.Methods. The authors used system and logical approaches, general scientific methods (analysis, synthesis), methods of comparative and economic analysis, analytical processing of information, graphical presentation of information.Results. The sources of big data are analyzed, the main indicators characterizing the state of personnel and allowing to forecast its development, dynamics of preservation of human resources in the organization, its training are allocated. The directions of using organizational network analysis in the personnel management system are proposed.Conclusions. The identified potential advantages of using organizational network analysis in the analytics of data on human resources in the organization will contribute to the reduction of staff turnover, optimization of staff structure, improvement of experience and knowledge sharing within the organization. This, according to the author’s position, will lead the enterprise to a positive economic effect and open new opportunities for its transformation

Pharmacogenomics: An Update Review

Pharmacogenomics studies how genetics affects how drugs affect the human body. The terms genomics and pharmacology are the sources of the field's name, which represents the intersection of genetics and medicine. The discovery of the laws of heredity in 1866 marked the beginning of the area of pharmacogenetics (PGx). The FDA has established PGx testing recommendations, so whenever these 250+ drugs are being reviewed, testing should be considered. Physicians in the fields of pain management, mental health, and cardiovascular health are among those who provide PGx recommendations. Antidepressant medications offer several therapeutic options that are similar, which makes them a prime candidate for the use of PGx. It makes sense that pharmaceutical companies are hesitant to use pharmacogenomics in clinical investigations given its relative youth. Clinical trials and pharmacogenomic testing together have many advantages. Finding populations with risk factors unrelated to the medication itself may also be facilitated by pharmacogenetics. Oral anticoagulants and chemotherapy treatment regimens are now recommended based on a patient's pharmacogenetic condition. When it comes to patient dosing, pharmacogenetic techniques are gradually replacing the traditional method of depending solely on trial and error. The present therapeutic application of pharmacogenetics can also be applied to drug research and development.

Management Lessons from Ikigai: The Japanese Secret to a Long and Happy Life

The concept of ikigai, which translates to "reason for being," is deeply rooted in Japanese culture and philosophy. Héctor García and Francesc Miralles' book, Ikigai: The Japanese Secret to a Long and Happy Life, explores how the principles of ikigai can be applied to enhance personal fulfilment and longevity. This research paper examines the potential applications of ikigai in the field of management, offering insights into how managers can foster a purpose- driven, engaged, and productive workforce. Through an analysis of the book's key themes, this paper outlines practical strategies for integrating ikigai principles into organizational practices. Key Words: Ikigai, Reason for being, Japanese culture, Longevity, Management, Purpose-driven workforce, Engaged workforce, Productive Workforce “Management Lessons from Ikigai: The Japanese Secret to a Long and Happy Life”

Spatial variations of runoff thresholds associated with changes in land use over the period 1990-2018 in the Mediterranean side of Andalusia

The runoff threshold is the amount of precipitation that exceeds the infiltration capacity of the soil and from which water begins to flow over the land surface. Its spatial variation will determine the appearance of a series of processes and risks such as soil erosion, sediment transport, water pollution or flooding, all of which are of great interest in the field of land planning and management. This article provides an update of the runoff threshold in the territorial scope of the Demarcación Hidrográfica de las Cuencas Mediterráneas Andaluzas and evaluates the spatial changes occurred between 1990 and 2018 because of land use dynamics. For this purpose, the methodology described in Regulation 5.2-IC related to surface drainage, of the Instrucción de Carreteras (Ministerio de Obras Públicas y Urbanismo [MOPU], 1990; Ministerio de Fomento, 2016, 2019) was used. The results obtained show very contrasting runoff threshold values, with maximums in the western sector and minimums in the eastern sector. On the other hand, the dynamics of land use changes have led to a significant increase in impermeable surfaces and sclerophyllous vegetation, which has generated a clear reduction in runoff threshold values in different areas, mainly in the eastern region. Specifically, the former forest areas, currently occupied by sclerophyllous vegetation, stand out, with a reduction of 17 mm over an area of approximately 229.1 km2. The conversion of agricultural lands into urban areas is also noteworthy, with a decrease in their retention capacity by up to 14 mm of precipitation, covering a total area of 97.1 km2.

Estimation of LAI of tobacco plant using selected spectral subsets of visible and near-infrared reflectance spectroscopy

Flue-cured tobacco is a main economic crop, and leaves are the direct product of tobacco plant. Monitoring leaf area index (LAI) of tobacco plant is important to field management, yield prediction, and industry regulation. Hyperspectral data have hundreds of narrow spectral bands in continuous spectral ranges, significantly advancing monitoring of LAI. However, considering spectral responses of LAI vary with wavelength, the use of the full spectral range in estimation of LAI is redundant. To reduce spectral redundancy and improve estimation of LAI, spectral subsets were selected based on importance of spectral bands. Variable importance in the projection (VIP) score obtained by partial least squares regression (PLSR) was adopted to measure the importance. The study was conducted in Yunnan Province, China. Canopy reflectance spectra of tobacco plant were measured in two consecutive growth seasons. Genetic algorithm (GA) and PLSR were used for model calibration. The identified important spectral regions for estimation of LAI were red edge, near-infrared (NIR), and green regions. In estimation of LAI of tobacco plant, compared with the estimation using the full spectral range of VNIR reflectance spectra, normalized root mean square error (NRMSE) and coefficient of determination (R2) values were improved from 10.30% and 0.83 to 7.68% and 0.90 and from 18.78% and 0.43 to 7.65% and 0.90 by using the reflectance spectra in identified spectral regions in the growth seasons in 2021 and 2022 separately. In addition to the identified continuous spectral regions, central bands of the identified spectral regions also achieved estimation of LAI, with the highest R2 value reaching 0.72. The selected spectral subsets improved estimation accuracy and reduced model complexity. The results indicate that selected spectral subsets are effective and promising in estimation of LAI, providing an alternative for estimation of LAI using hyperspectral data.