Management Level Research Articles

Unveiling the NIMBY effect in construction and demolition waste landfilling: Factors, paths, and solutions

The construction and operation of the construction and demolition waste (C&DW) landfills often encounter significant opposition from nearby residents, which is called the “not in my backyard” (NIMBY) effect. However, little is known about the formation mechanism of the NIMBY effect in C&DW landfilling, so this research was conducted for this purpose. First, the influencing factors leading to the NIMBY effect were determined based on a literature review and questionnaire survey. Then, the interrelationship and influencing path of critical factors were revealed using expert interviews and Interpretative Structural Modelling. The results shown that 12 factors from four levels (including residents, society, government, and enterprises) caused the NIMBY effect in C&DW landfilling. These factors formed a complex network comprising 18 influencing paths. Notably, policy and responding measures as pivotal bottom-level factors that trigger the NIMBY effect by indirectly impacting residents' rights awareness and shaping public perception towards C&DW landfill operation enterprises through directly affecting personal interest, cognitive bias, distrust, disposal technology, management level, opinion leader, and other intermediate factors, ultimately triggering the NIMBY effect. Moreover, strategies for mitigating or resolving the NIMBY effect were proposed, such as protecting personal reasonable interests, understanding the potential risks of C&DW landfills rationally, reporting the C&DW landfills from an objective perspective, improving policies and promoting public participation, and enhancing supervision of the C&DW landfills. The study added new knowledge to the current public's NIMBY effect in C&DW landfilling. Meanwhile, it also provided a reference for formulating C&DW landfilling policies and selecting landfill sites.

‘Important, but difficult’: Swedish primary care professionals’ perceptions and experiences of dealing with violence against women: an interview study

BackgroundMen’s violence against women is a global health problem causing physical, mental, sexual and reproductive ill-health. The World Health Organisation has estimated that every third woman in the world has been exposed to physical and/or sexual violence. Swedish primary care is central for victims of violence, as it is normally the first port of call for seeking healthcare. This requires professional competence on violence, and its causes. It also requires resources for working with violence prevention, disclosure and supportive actions. The aim of this study is to deepen the understanding of how primary care professionals in Sweden deal with violence against women. We analyse their viewpoints, experiences and practices of working with violence as a health problem, and especially if, and if so how, they ask patients about violence.MethodsA qualitative, explorative research design was adopted. Research interviews were conducted with 18 health professionals at eight primary care clinics. These clinics were located in four different regions, from the south to the north, in large urban areas, middle-size cities and rural areas. The interviews were voice recorded and transcribed verbatim. Thematic analysis was used to analyse the interviews.ResultsThree themes, with a total of ten related sub-themes, were developed. These themes are: (a) Varying understandings and explanations of violence against women; (b) The tricky question of asking about violence; and (c) Multiple suggestions for improving primary care’s work with violence against women. The awareness of violence varied considerably, with some practitioners being highly knowledgeable and having integrated violence into their everyday practice, whereas others were less knowledgeable and had not paid much attention to violence. The very naming of violence seemed to be problematic. Several suggestions for improvements at professional, managerial and organisational levels were articulated.ConclusionsThe results shed important light on the professionals’ problems and struggles when dealing with violence against women in primary care. Better support and resources from the healthcare organisation, clearer leadership and more detailed policy would improve and facilitate everyday practice. All of these factors are indispensable for primary care’s work with victims of men’s violence against women.

Impact of decentralized management on sickness absence in hospitals: a two-wave cohort study of frontline managers in Danish hospital wards

BackgroundThis study explores the impact of decentralized management on the sickness absence among healthcare professionals. Sickness absence is a reliable indicator of employees’ wellbeing and it is linked to management quality. However, the influence of decentralized management on sickness absence has not been adequately studied.MethodsThe research design combined a two-wave, web-survey of frontline managers in two Danish university hospitals with administrative data on sickness absence at the ward-level. The first and second wave included data from 163165 and 137 frontline managers linked to 121 wards and 108 wards. Data was analysed using an ordinal logistic regression model.ResultsWards where frontline managers had the highest level of decentralised decision authority compared to none showed lower odds of ward-level sickness absence (ORcrude: 0.20, 95% CI: 0.05–0.87). A very high extent of cross-functional decision authority showed lower odds of sickness absence (ORcrude: 0.08, 95% CI: 0.01–0.49). Overall, the results showed a clear data trend, although not all results were statistically significant.ConclusionHigher levels of decentralized management in wards were positively associated with lower risks of sickness absence in hospital wards. The study supports future research on how to empower decision autonomy at the frontline level of management.

THE RELATIONSHIP OF KNOWLEDGE MANAGEMENT AND DIGITAL MATURITY TOWARDS TALENT RESILIENCE OF KURNIA BUMI RAYA (KBR) MANAGEMENT IN USING THE LARK APPLICATION

His research aims to analyze the influence of knowledge management and digital maturity on resilience in KBR Management talent. This research uses quantitative research methods with a sample size of 30 people who are all the talents of KBR Management. The research results show that partially there is no influence between knowledge management and resilience. This shows that an individual's ability to adapt is not influenced by knowledge management. There is a significant positive influence between digital maturity and resilience. This shows that the better the level of digital maturity, the easier it is for individuals to adapt. Simultaneously there is a positive and significant influence between knowledge management and digital maturity on resilience. This means that the better the level of knowledge management and digital maturity in the KBR talent, the better the level of adaptability or resilience in using the Lark application.Kata Kunci : Knowledge Management, Digital Maturity dan Resiliansi

Influence of Urea Foliar Nutrition and Leaf Harvesting Intensity on Growth, Yield Attributes and Yield in Cowpea [Vigna unguiculta (L.) Walp.

A field experiment was undertaken at Farming Systems Research Station (FSRS), Sadanandapuram, Kollam district, Kerala Agricultural University in summer 2022 for studying the effect of growth, yield attributes and yield of cowpea through foliar application of 2% urea and intensity of leaf harvesting. Experimental treatments comprised of 4 levels of foliar nutrition management (2% urea spray at vegetative stage (f1), 2% urea spray at flowering stage (f2), 2% urea spray at vegetative stage and flowering stage (f3), water spray control (f4) and 3 levels of leaf harvest (20% leaf harvest (l1), 40% leaf harvest (l2), and no leaf harvest (l3). Among the foliar nutrition management treatments, f3 showed significantly the taller plants (91.97 cm), more number of branches (15.13), leaves (34.76), leaf area/ plant (884.29 cm2), leaf area index (1.96) dry matter production (42.39 g) and chlorophyll content (3.544 mg/g) and were comparable with f1. The nodule parameters such as nodule number (37.44) and effective number of nodules (32.11) were the highest in treatment f3 and was on par with f1. Further, days to 50 per cent flowering (53.65 days), pod length (17.27 cm), 100 seed weight (12.40 g), pod number (24.58), foliage yield (1484.57 kg ha-1), grain yield (925.85 kg ha-1) and haulm yield (2722.70 kg ha-1) were the highest in treatment f3 and was on par with f1 except for pod weight (21.19 g). Among the leaf harvest intensity, treatment l3 recorded the taller plants (92.45 cm), leaf area per plant (902.71cm2) leaf area index (2.01), less days to 50% flowering (47.60 days) and haulm yield (2754.85 kg ha-1). It was on par with l1 pertaining to plant height. The number of branches (15.03), dry matter production per plant (40.78g), pod weight/plant (19.43 g), pod number/plant (23.59) and grain yield (925.85 kg ha-1) were the highest in treatment l1.

Unlocking the Potential of Industry 4.0 for Supply Chain Flexibility and Agility: A Systematic Literature Review

This paper reports on a comprehensive literature review using the Systematic Literature Review approach to improve agility and flexibility at the Sustainable Supply Chain Management (SSCM) level. The review identified 51 papers that satisfied the research criteria. The literature on SCM-level I4.0, flexibility, and agility was classified into four major research lines, namely interrelationships between SCM strategies, I4.0 technologies’ role in enabling Supply Chain Flexibility and Agility, barriers to achieving supply chain-level flexibility, and drivers to improve supply chain-level flexibility. Content analysis of the papers from each group was also provided, along with gaps detected and avenues for future research. The findings can help organizations understand how to leverage I4.0 practices and technologies to improve their flexibility and agility capabilities in the SSCM context, as well as identify potential drivers and barriers to their achievement.

Вопросы внедрения аналитических систем больших данных и других достижений цифровизации для повышения эффективности бизнеса горнодобывающих компаний

Currently, digitalization and widespread adoption of digital technologies are significantly changing people's activities in many areas. Digital technologies provide automation of business processes, data management, analytics, they support strategic decision-making and dictate the need to introduce new approaches to doing business in order to increase its efficiency and profitability, as well as to ensure sustainability of companies' development in modern conditions. It needs to be especially mentioned how the big data processing and analysis technologies and other Industry 4.0 achievements are introduced in the mining industry. The use of big data analytical systems in modern production, including the mining industry, provides an integrated approach to processing and analyzing a large amount of information. It also provides organizations with significant advantages reflected at various levels of management and strategic decision-making. The prospects for implementation and development of these digital solutions currently look very encouraging. Effective management of these processes provides companies with significant opportunities and advantages, allowing them to increase competitiveness, optimize the use of resources and increase the efficiency of their business as a whole.

Вопросы внедрения аналитических систем больших данных и других достижений цифровизации для повышения эффективности бизнеса горнодобывающих компаний

Currently, digitalization and widespread adoption of digital technologies are significantly changing people's activities in many areas. Digital technologies provide automation of business processes, data management, analytics, they support strategic decision-making and dictate the need to introduce new approaches to doing business in order to increase its efficiency and profitability, as well as to ensure sustainability of companies' development in modern conditions. It needs to be especially mentioned how the big data processing and analysis technologies and other Industry 4.0 achievements are introduced in the mining industry. The use of big data analytical systems in modern production, including the mining industry, provides an integrated approach to processing and analyzing a large amount of information. It also provides organizations with significant advantages reflected at various levels of management and strategic decision-making. The prospects for implementation and development of these digital solutions currently look very encouraging. Effective management of these processes provides companies with significant opportunities and advantages, allowing them to increase competitiveness, optimize the use of resources and increase the efficiency of their business as a whole.

Public data accessibility and corporate maturity mismatch: Evidence from China

As the importance of public data to the real economy continues to be recognized, this study explores public data accessibility as a determinant of corporate maturity mismatch between investment and financing. Exploiting the staggered establishment of public data open platforms (PDOPs) across different cities in China, we observe a significant reduction in local firms' maturity mismatch following the establishment of PDOPs. The results remain robust even after conducting a battery of robustness tests, including placebo tests, matching analysis, as well as controlling for the influence of other major concurrent reforms and utilizing alternative measures for corporate maturity mismatch. Mechanism analysis indicates that the establishment of PDOPs contributes to an increase in the scale of long-term loans and an extension of the debt maturity structure. This suggests that enhanced public data accessibility effectively strengthens banks' information discernment capabilities. Cross-sectional analysis indicates that the effects are more pronounced in samples of private enterprises, companies with high levels of earnings management, fewer analysts covering, lower collateral values, and a higher proportion of local subsidiaries. Additionally, the economic consequence analysis reveals that the establishment of PDOPs ultimately helps to reduce corporate default risk. Finally, this study finds no evidence of potential spatial spillover effects from the establishment of PDOPs. This study offers a new perspective on understanding changes in corporate maturity mismatch, providing significant policy implications for preventing and mitigating financial risks.

Development of management indicators of nursing for minimizing physical restraints focused on older adult patients hospitalized in acute care settings: A Delphi consensus study.

Nursing management activities are important in influencing staff nurses' action to prevent or withdraw physical restraints. However, limited studies have been conducted empirically to determine the nursing management activities required for minimizing physical restraints. Therefore, there is a need for basic standards of nursing management activities to minimize physical restraints in acute care settings. This study aimed to develop nursing management indicators to minimize physical restraint (MaIN-PR) in hospitalized older adult patients in an acute care setting. It was conducted between June and October 2021 in Japan using a Delphi consensus approach. Fifty nurses working at top or middle management levels or as certified nurse specialists in gerontological nursing enrolled as participants. The potential indicators obtained from the literature review and interviews were organized inductively to develop two types of draft indicators: (1) 35 items for top management and (2) 33 items for middle management. We asked the nursing managers and certified nurse specialists in gerontological nursing to assess the validity of each indicator in three rounds. Of the 50 initial panelists, 12 from top management and 13 from middle management continued till the third round. MaIN-PR contained 35 indicators for top management and 28 indicators for middle management and were classified into the following six metrics: planning, motivating, training, commanding, organizing, and controlling. To the best of our knowledge, the current MaIN-PR are the first set of nursing management indicators for minimizing physical restraint, including perspectives on geriatric nursing in acute care settings. These indicators could guide both top and middle nursing management, thus supporting staff nurses' judgment in minimizing physical restraints to enhance the quality of older adult patient care.

The Development Trend of Enterprise Business Administration and the Innovation of Management Mode

In the context of the new period, the continuous growth of social and economic levels and the rapid update of information technology have significantly impacted the business management of Chinese enterprises, presenting substantial challenges. The intensification of market competition exerts development pressure on many enterprises, and coupled with the unstable strength of some businesses, numerous problems in business management arise. These issues hinder the smooth execution of various business activities. Therefore, it is crucial to ensure effective business administration to conduct different business activities in an orderly manner, promptly avoid adverse risks, and strengthen control over multiple factors. The innovation and improvement of business administration are of great significance for enhancing the management level and market competitiveness of modern enterprises, accelerating their healthy development, and creating numerous opportunities. Consequently, this paper analyzes and explores the development trends of enterprise business administration and the innovation of management models for reference.

Family management and corporate charitable donations in Chinese family firms: An inverted u‐shaped relationship

AbstractThis paper examines the influence of family management on corporate charitable donations. Drawing from the literature on socioemotional wealth, we propose that the level of family management and corporate charitable donations presents an inverted U‐shaped relationship, and that this inverted U‐shaped relationship is weakened by firm diversification levels and an unfair competition environment. An analysis of a comprehensive data set comprising 9266 firm‐year observations, encompassing 1445 publicly listed Chinese family firms from 2010 to 2021, provides empirical support for our hypotheses. The results remain robust when accounting for endogeneity concerns. This study contributes to the growing body of research on environmental, social, and governance in the field of finance and accounting, and enhances our knowledge of sustainability practices in family firms.

Hybrid control systems: from ontological reflection to conceptualization of the phenomenon

As the practices of using digital means in various spheres of life and at the levels of ensuring its regulation, it becomes more and more urgent to consider the nature and consequences of hybridization of social and digital relations, the results of which are now manifested at all levels of social management: social (interaction of the state and society), organizational (managerial, sectoral), local (territorial and interpersonal interaction). In this context, a dual perspective of hybridization emerges: technocratic (unification, modernization, and control from above). In this context, a dual perspective of hybridization arises: technocratic (unification, modernization and control from above) and socio-contextual (taking into account needs and interests from below, development taking into account life strategies). From a technocratic perspective, hybridization can be viewed as an idealized product (object) of the evolution of artificial regulatory systems, as the embodiment of the ideal form, structure of algorithmization of human activity, and follow the unfolding path of technocratization of public life. However, already today we are witnessing failures in the processes of digital transformation of territories and in the operation of hybrid management systems, the purpose and functionality of which are more likely to be configured to build and reproduce technocratic principles of management organization, which gives rise to the imperatives and determination of hybrid objects over hybridizing management entities, reduces sensitivities to spontaneous processes of socio-network grouping. The latter phenomenon is proposed to be considered and studied as a mechanism for launching the formation (localization) of hybrid control systems within the framework of the theoretical construct of the sociology of control called the "sociocultural body of problem solving".

Knowledge and flood management behavior of the older people and their families at the selected flood-prone villages in East Jakarta

Older people are identified as a vulnerable group in disaster. There should be more focus on their capacities and needs. Yet, there are limited studies on flood knowledge, family support, and emergency response plans affecting older people's flood-management practices. The study aimed to examine the correlation between sociodemographic characteristics; knowledge of Disasters Resilience Family Program (KATANA), disasters, and floods; family support; and the emergency response plans in flood management. This study employed a quantitative approach and utilized a cross-sectional research design. It involved 105 participants selected using simple random sampling. The study found that (1) knowledge of KATANA, disasters, and floods remained relatively low; (2) older persons' practices before floods differed by age and gender, and practices after a flood varied by employment status; (3) family support for older people facing a flood was relatively poor; (4) emergency response plan vary based on education, gender, marital status, and family type; (5) older people with good knowledge of KATANA, disasters, and floods were 5.79 times more likely to be well-practiced in flood management than those who had not (OR = 5.79, p = 0.000). These findings suggest increasing older peoples' knowledge of KATANA, disasters, and floods through disaster-preparedness training and simulating government and civil society mitigation efforts to strengthen older individuals' disaster resilience. At the governmental level, detailed, comprehensive, and realistic actions in disaster management, especially targeted at older people, should be put in the New Disasters Rules for 2024 by the Indonesian National Disasters Management Agency.

Hybrid control systems: from ontological reflection to conceptualization of the phenomenon

As the practices of using digital means in various spheres of life and at the levels of ensuring its regulation, it becomes more and more urgent to consider the nature and consequences of hybridization of social and digital relations, the results of which are now manifested at all levels of social management: social (interaction of the state and society), organizational (managerial, sectoral), local (territorial and interpersonal interaction). In this context, a dual perspective of hybridization emerges: technocratic (unification, modernization, and control from above). In this context, a dual perspective of hybridization arises: technocratic (unification, modernization and control from above) and socio-contextual (taking into account needs and interests from below, development taking into account life strategies). From a technocratic perspective, hybridization can be viewed as an idealized product (object) of the evolution of artificial regulatory systems, as the embodiment of the ideal form, structure of algorithmization of human activity, and follow the unfolding path of technocratization of public life. However, already today we are witnessing failures in the processes of digital transformation of territories and in the operation of hybrid management systems, the purpose and functionality of which are more likely to be configured to build and reproduce technocratic principles of management organization, which gives rise to the imperatives and determination of hybrid objects over hybridizing management entities, reduces sensitivities to spontaneous processes of socio-network grouping. The latter phenomenon is proposed to be considered and studied as a mechanism for launching the formation (localization) of hybrid control systems within the framework of the theoretical construct of the sociology of control called the "sociocultural body of problem solving".

A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT

The goal of this research is to create an ensemble deep learning model for Internet of Things (IoT) applications that specifically target remote patient monitoring (RPM) by integrating long short-term memory (LSTM) networks and convolutional neural networks (CNN). The work tackles important RPM concerns such early health issue diagnosis and accurate real-time physiological data collection and analysis using wearable IoT devices. By assessing important health factors like heart rate, blood pressure, pulse, temperature, activity level, weight management, respiration rate, medication adherence, sleep patterns, and oxygen levels, the suggested Remote Patient Monitor Model (RPMM) attains a noteworthy accuracy of 97.23%. The model's capacity to identify spatial and temporal relationships in health data is improved by novel techniques such as the use of CNN for spatial analysis and feature extraction and LSTM for temporal sequence modeling. Early intervention is made easier by this synergistic approach, which enhances trend identification and anomaly detection in vital signs. A variety of datasets are used to validate the model's robustness, highlighting its efficacy in remote patient care. This study shows how using ensemble models' advantages might improve health monitoring's precision and promptness, which would eventually benefit patients and ease the burden on healthcare systems.

A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT

The goal of this research is to create an ensemble deep learning model for Internet of Things (IoT) applications that specifically target remote patient monitoring (RPM) by integrating long short-term memory (LSTM) networks and convolutional neural networks (CNN). The work tackles important RPM concerns such early health issue diagnosis and accurate real-time physiological data collection and analysis using wearable IoT devices. By assessing important health factors like heart rate, blood pressure, pulse, temperature, activity level, weight management, respiration rate, medication adherence, sleep patterns, and oxygen levels, the suggested Remote Patient Monitor Model (RPMM) attains a noteworthy accuracy of 97.23%. The model's capacity to identify spatial and temporal relationships in health data is improved by novel techniques such as the use of CNN for spatial analysis and feature extraction and LSTM for temporal sequence modeling. Early intervention is made easier by this synergistic approach, which enhances trend identification and anomaly detection in vital signs. A variety of datasets are used to validate the model's robustness, highlighting its efficacy in remote patient care. This study shows how using ensemble models' advantages might improve health monitoring's precision and promptness, which would eventually benefit patients and ease the burden on healthcare systems.

Executive compensation contract effectiveness and firms' green technology innovation structure

As a crucial component of corporate governance, exploring the impacts of the executive compensation contract on green innovation structure is conducive to promoting green transition. Based on a sample of Chinese listed companies from 2012 to 2022, this study reveals a significant enhancement of the executive compensation contract in corporate green innovation structure. The finding points out that the executive compensation contract can stimulate corporate green innovation activities, promoting substantive green innovation. This impact operates mainly through mitigating managers` myopia, and enhancing corporate management levels.

An Approach of BIM-Based Dynamic Adaptive Zoning for Group Piles Construction Multi-Work Areas

In large-scale pile foundation drilling projects, the absence of digital work area management hampers dynamic construction management, affecting efficiency. This article explores multi-work area management during pile foundation drilling using a BIM parameterized model, focusing on informatization. The results indicate the following: (i) A dynamic zoning method for pile foundation construction using BIM models was developed to support information management systems and address resource allocation challenges amid dynamic construction team changes. (ii) Adaptive zoning methods were proposed, incorporating the dynamic adjustment of construction work areas, including the division of virtual work areas and adaptive adjustment of pile foundation partition parameters. (iii) Work area modeling and zoning were applied on site, with pile foundation modeling aligning with engineering design distribution, and work area zoning accurately reflecting the on-site construction status. (iv) This method enables adaptive synchronization between pile foundation model attributes and work area information, integrating zoning management into the information system to enhance the construction unit’s information management system and digital management level.

Long-Term Impact of Crop Diversification and Nutrient Management on Soil Phosphorus Pools in Indo-Gangetic Plain

ABSTRACT Understanding the dynamics of soil phosphorus (P) over extended periods of soil and crop management practices is essential for sustainable P management. This study assessed the impact of four crop rotations [maize-wheat (M-W), maize-wheat-mungbean (M-W-Mb), maize-wheat-maize-chickpea (M-W-M-C), and pigeonpea-wheat (P-W)] each with three levels of nutrient management [control (CT), integrated nutrient management (suboptimal fertilizer+ farmyard manure + crop residue + bio-fertilizers; INM), and sole-chemical fertilizers (CF)] on soil inorganic and organic P (Pi and Po) pools and crop–soil relationships at the end of 15-year cropping. Legume-inclusive rotations resulted in higher labile-P pools, being higher with M-W-M-C and P-W. M-W-M-C rotation had higher moderately labile organic P (Po) in both surface (+23%) and subsurface (+18%) depths over M-W. Di-calcium P (Ca2-P) (+6%) and microbial biomass P (MBP) (+46%) increased in M-W-Mb over M-W, while iron-P (Fe-P) was reduced (−12%) in subsurface soil. INM enhanced bioavailable-P [soluble-P (+17%), labile-Pi (+15%) labile-Po (+12%), MBP (+96%), moderately labile-Po (+22%)] over CF in surface soil, while CF had a higher Fe-P (+16%). Legumes in rotation caused notable changes in the surface-to-subsurface ratio (SSBR) of Ca2-P (1.18–1.50) and occluded-P (1.64–2.78). INM had a higher SSBR of labile-P pools but had a lower SSBR of occluded-P facilitating mobilization of the later in the surface. Hence, in tropical soils, legume-inclusive diversification (particularly with chickpea) and INM involving crop residue recycling could be a sustainable option to improve P use efficiency, crop productivity, and save fertilizer resources.