Innovation Management Research Articles

Climate Change and Urban Flooding: Assessing Remote Sensing Data and Flood Modeling Techniques: A Comprehensive Review

This review critically examines the current understanding of climate change impacts on urban flooding, synthesizing recent findings to provide a comprehensive overview of how rising temperatures, sea-level rise, and increased extreme weather events influence urban floods. Additionally, it discusses various flood modeling techniques, outlining their advantages and disadvantages. Covering a broad spectrum of studies published between 2007 and 2024, selected for their relevance and methodology, this review highlights several key findings. Climate change significantly exacerbates urban flood disasters, with remote sensing emerging as an indispensable tool for climate change and flood monitoring and prediction. Despite these advancements, notable gaps remain in the literature. There is a conspicuous lack of long-term impact studies and limited discourse on the efficacy of existing mitigation strategies. Additionally, the review underscores the deficiency of real-time flood monitoring systems specifically designed for urban areas. These gaps highlight an urgent need for targeted research and the development of adaptive management practices to enhance flood prediction and management in urban settings. Future research must focus on advancing real-time monitoring systems, integrating remote sensing technologies more effectively, and developing comprehensive flood models. The review also emphasizes the importance of interdisciplinary approaches that merge hydrology, climatology, urban planning, and technology. By consolidating existing research, this review serves as a valuable resource for researchers and policymakers. It underscores the critical need for innovative flood modeling techniques and adaptive management strategies to tackle the challenges posed by climate change. This synthesis not only enriches the current body of knowledge, but also provides clear directions for future investigations, emphasizing the imperative for improved prediction, preparedness, and response mechanisms in urban flood management.

Enhancing brewery logistics with smart kegs: A simulation study

Background: Supply chain optimisation is critical for companies in today’s globalised world. Efficient supply chains ensure product quality and freshness in the food industry. For products like beer, efficiency extends beyond transportation and includes the management of logistics containers such as returnable kegs.Objectives: This study investigated the impact of tracking logistics data on the efficiency of container logistics in a small regional brewery. The focus was reducing fleet size, processing times and pick-up distances.Method: A simulation of a small brewery was used to analyse the impact of tracking logistics data. The study examined how kegs equipped with real-time tracking technology could improve logistics operations.Results: The simulation showed that tracking logistics data significantly improved logistics processes. It led to a reduction in the fleet size, turnaround times and pick-up distances for empty kegs. These improvements were attributed to better resource allocation and more efficient management of reusable containers.Conclusion: The study showed that smart kegs could reduce logistical inefficiencies in the brewing industry. The use of smart technologies in container logistics improves operational efficiency and sustainability.Contribution: This research provides insights into how smart technologies can transform traditional logistics models. The results suggest that smart containers can revolutionise supply chains with efficient resource allocation, real-time tracking and automation. This shift towards smart logistics aligns with the broader adoption of the Industrial Internet of Things, offering a blueprint for future innovations in supply chain management. The implications extend beyond brewing, highlighting the potential for greater sustainability and a positive reduction in environmental impact in global supply chains.

Innovative organic nutrient management and land arrangements improve soil health and productivity of wheat (Triticum aestivum L.) in an organic farming system

IntroductionSoil health is vital for ecosystems, but excessive use of fertilizers, chemicals, and irrigation harms soil fertility, leading to reduced yields and degradation. Thus, exploring innovative land arrangements and nutrient management for staple crops such as wheat is essential. Organic farming offers a promising solution. This study hypothesized that an appropriate land arrangement, combined with split applications of farmyard manure (FYM) and liquid organic fertilizer, can enhance wheat productivity while also improving soil health. The objective of this study was to investigate the effects of different sowing methods and organic nutrient management practices on the productivity of wheat and soil health.MethodsThis study aimed to examine the impact of sowing methods and nutrient management practices on soil health and organic wheat productivity during the winter seasons of 2021–22 and 2022–23 at the Organic Farming Unit (Agronomy), Rajasthan College of Agriculture, MPUAT, Udaipur. The experiment was arranged in a split-plot design, with three land arrangements/sowing methods in the main plot and eight nutrient management approaches in the subplots.ResultsConcerning different land arrangements, the furrow irrigated raised bed sowing (FIRB) method resulted in the maximum wheat yield (4.34 t ha−1) compared with flat row sowing and zero tillage sowing. With respect to nutrient management practices, 75% of the recommended dose of N (RDN) through the FYM was basal + 25% RDN with the 1st irrigation + Jeevamrut application at 500 L ha−1 during sowing, and the 1st irrigation + Panchagavya spraying at 5% during the booting stage resulted in the highest grain yield (4.47 t ha−1). Both the zero tillage and FIRB land arrangements resulted in better soil biological activities and microbial counts than did flat sowing. The results indicate that sowing wheat via the FIRB method, with the recommended nitrogen dose applied through split applications of FYM along with liquid organic manures such as Jeevamrut and Panchagavya, can be an excellent option for organic wheat cultivation. This approach can enhance both yield and soil health.ConclusionSeventy-five percent RDN through FYM as a basal + 25% RDN during the 1st irrigation + Jeevamrut at 500 L ha−1 during sowing and the 1st irrigation + spraying of Panchagavya at 5% during the booting stage effectively increased the growth and yield of organic wheat. With respect to land arrangements, both FIRB and zero tillage resulted in better growth, yield, and soil biological properties. The practical utility of this study is the optimization of split applications of FYM and land arrangements for organic wheat cultivation.

Precision Agriculture and Water Conservation Strategies for Sustainable Crop Production in Arid Regions

The intensifying challenges posed by global climate change and water scarcity necessitate enhancements in agricultural productivity and sustainability within arid regions. This review synthesizes recent advancements in genetic engineering, molecular breeding, precision agriculture, and innovative water management techniques aimed at improving crop drought resistance, soil health, and overall agricultural efficiency. By examining cutting-edge methodologies, such as CRISPR/Cas9 gene editing, marker-assisted selection (MAS), and omics technologies, we highlight efforts to manipulate drought-responsive genes and consolidate favorable agronomic traits through interdisciplinary innovations. Furthermore, we explore the potential of precision farming technologies, including the Internet of Things (IoT), remote sensing, and smart irrigation systems, to optimize water utilization and facilitate real-time environmental monitoring. The integration of genetic, biotechnological, and agronomic approaches demonstrates a significant potential to enhance crop resilience against abiotic and biotic stressors while improving resource efficiency. Additionally, advanced irrigation systems, along with soil conservation techniques, show promise for maximizing water efficiency and sustaining soil fertility under saline–alkali conditions. This review concludes with recommendations for a further multidisciplinary exploration of genomics, sustainable water management practices, and precision agriculture to ensure long-term food security and sustainable agricultural development in water-limited environments. By providing a comprehensive framework for addressing agricultural challenges in arid regions, we emphasize the urgent need for continued innovation in response to escalating global environmental pressures.

Mapping the trajectories of digital technology innovation in the construction industry: an integrated SPNP and Louvain approach

PurposeDespite the continuous development and application of new digital technologies in the construction industry, there has been little research on digital technology trajectories in the construction industry. The study addresses the issue faced by the construction industry in exploring digital technology trajectories: how to comprehensively identify and analyse digital technology pathways across multiple technology fields in the construction industry.Design/methodology/approachFirstly, the digital technology patent identification and classification method based on text mining is used to identify digital technology patents and construct a digital technology innovation network. Second, the main path of the digital technology innovation network is identified with the help of SPNP. Then, the subpaths of the digital technology innovation network are identified with the help of the Louvain algorithm and SPNP. Finally, starting from the technology nodes where the main path and subpaths intersect, the technological similarity of the paths is analysed to explore the evolutionary characteristics of the technology trajectories. In light of this, the developed method is applied to the global construction industry patent dataset to analyse the trajectories of digital technologies.FindingsThe technological innovation path in the construction industry starts with construction materials and gradually expands to intelligence, automation and digital data processing technology. Equipment and devices with electronic digital data processing capabilities as well as improvements in green building technologies and user experience-enhancing technologies, may be the future of the construction industry. With the increasing demand for green buildings and intelligent buildings, the direction of digital technology innovation in the construction industry is gradually tilted towards these areas. In addition, influenced by geographic and economic factors, there is a spatial clustering effect of digital technology innovation in the construction industry.Research limitations/implicationsFuture research should analyse in depth the performance of different countries and regions in digital technology innovation and explore the root causes, motivations and influencing factors behind it, such as the policy environment, the level of the economy and the investment in research and development. Exploring the reasons affecting digital technology innovation can help formulate more targeted policies and promote cooperation and exchange of digital technology innovation in the global construction industry. Meanwhile, to solve the problems of overly broad IPC categorization and the difficulty of accurately describing cross-field innovations, combining IPC co-occurrence networks with patent citation networks is an effective strategy. This strategy can track technologically interrelated patents and provide more specific contents to know the advantages and challenges of the construction industry in the field of digital technology innovation.Practical implicationsThe study has practical implications for the construction industry. The identification of digital technology innovation trajectories provides valuable insights for industry firms and research institutes. It helps them understand the current and future directions of digital technology in construction, enabling them to stay at the forefront of technological advancements. The findings highlight the importance of focusing on areas such as solar energy utilisation, green energy, intelligence, automation and data applications. This knowledge can guide firms in developing new building materials, incorporating digital information technologies and enhancing user experiences. The study’s results can inform strategic decision-making, technology adoption and innovation management in the construction sector.Social implicationsThe social implications of this study are significant for various stakeholders. The identification of digital technology innovation trajectories in the construction industry highlights the potential benefits for society. The focus on green energy, intelligent buildings and enhanced user experiences aligns with the increasing demand for sustainability, energy efficiency and comfortable living environments. These technological advancements can contribute to reducing environmental impact, improving quality of life and promoting sustainable development. The findings can inform policymakers, urban planners and architects in shaping regulations, designing sustainable cities and creating buildings that prioritize energy efficiency and user well-being. Ultimately, the study’s social implications aim to foster a more sustainable and livable built environment.Originality/valueAn identification method integrated with SPNP and the Louvain algorithm is developed to map digital technology innovation trajectories in the construction industry. This study helps to reveal the trajectories of digital technology innovation, provides new perspectives, insight and ideas for research in related fields and has great potential for applications in practice to promote the innovation and development of the construction industry.

Top management team attributes and corporate entrepreneurship: A meta‐analysis

AbstractHow do the attributes of a firm's top management team (TMT) influence corporate entrepreneurship across organizational and national contexts? Drawing on upper echelons theory and the managerial discretion perspective, this meta‐analytic study examines the dynamic relationship between TMTs' attributes and corporate entrepreneurship, focusing on the moderating role of managerial discretion arising from organizational and national‐level factors. To provide insights into the micro‐foundations of firm behavior, we explore how key TMT attributes—diversity, size, transformational leadership, tenure, general human capital, and entrepreneurial human capital—affect corporate entrepreneurship. A comprehensive meta‐analysis of 57 primary studies reveals that the effect of a TMT's attributes is context‐dependent and is significantly influenced by the approach to managerial discretion taken by the country in which the firm operates. By showing that transformational leadership and the TMT's entrepreneurial human capital and size affect corporate entrepreneurship, while attributes like tenure, diversity, and general human capital have limited or no impact, our findings challenge the prevailing view that a standardized approach to the TMT's composition drives corporate entrepreneurship. The study also underscores the role of the national‐level managerial discretion and finds that firms in institutional environments that feature low managerial discretion must align their TMT strategies with local institutional contexts to maximize their corporate entrepreneurship. These findings advance upper echelons theory by demonstrating that managerial discretion acts as a boundary condition in shaping how the TMT's attributes influence corporate entrepreneurship based on the national context. This research contributes to the fields of strategic and innovation management and offers practical insights for leaders who seek to harness the full potential of their TMTs.

Exploring the impacts of risk perception and risk management planning on innovation orientation: a PLS-SEM approach

PurposeAlthough risk and innovation are often linked, current studies exploring the correlation between these terms are scarce. This study empirically examines the relationship between construction firms’ risk perception, risk management planning and innovation orientation.Design/methodology/approachA conceptual framework was formed through the literature and validated by the partial least squares structural equation modeling (PLS-SEM) technique, employing the data collected from 182 practitioners working in the Vietnamese construction sector.FindingsThis study highlighted that innovation orientation can be categorized as creation and adoption. The findings indicated that while risk perception can hinder innovation creation, effective risk management planning can mitigate the adverse effects. The findings also highlighted that the focus on innovation adoption will negatively affect innovation creation. Additionally, the findings showed that risk management planning has a positive relationship with innovation creation.Originality/valueThis study fills the research gap by explaining why innovation creation is often prioritized by innovation adoption, as risk perception acts as a deterrent. The results imply that construction firms should balance adopting innovations and fostering an environment conducive to innovation creation. It is recommended that these firms invest organizational resources in forming effective risk management plans to create a more secure environment for innovation creation.

Hierarchical multi-label classification model for science and technology news based on heterogeneous graph semantic enhancement

In the context of high-quality economic development, technological innovation has emerged as a fundamental driver of socio-economic progress. The consequent proliferation of science and technology news, which acts as a vital medium for disseminating technological advancements and policy changes, has attracted considerable attention from technology management agencies and innovation organizations. Nevertheless, online science and technology news has historically exhibited characteristics such as limited scale, disorderliness, and multi-dimensionality, which is extremely inconvenient for users of deep application. While single-label classification techniques can effectively categorize textual information, they face challenges in leading science and technology news classification due to a lack of a hierarchical knowledge framework and insufficient capacity to reveal knowledge integration features. This study proposes a hierarchical multi-label classification model for science and technology news, enhanced by heterogeneous graph semantics. The model captures multi-dimensional themes and hierarchical structural features within science and technology news through a hierarchical transmission module. It integrates graph convolutional networks to extract node information and hierarchical relationships from heterogeneous graphs, while also incorporating prior knowledge from domain knowledge graphs to address data scarcity. This approach enhances the understanding and classification capabilities of the semantics of science and technology news. Experimental results demonstrate that the model achieves precision, recall, and F1 scores of 84.21%, 88.89%, and 86.49%, respectively, significantly surpassing baseline models. This research presents an innovative solution for hierarchical multi-label classification tasks, demonstrating significant application potential in addressing data scarcity and complex thematic classification challenges.

Socially responsible human resource management and employee innovation performance: the roles of person-organization fit, work engagement and individualism orientation

Socially responsible human resource management and employee innovation performance: the roles of person-organization fit, work engagement and individualism orientation

Communication design logics and innovation management

AbstractEffective communication with external or internal stakeholders is crucial for innovation processes. The fourth wave of digital technologies and the fifth industrial revolution have increased the range of communication possibilities, amplifying both the number of communication channels and the availability of data. Yet in existing research that tends to treat communication as an art instead of a science, the evidence only scratches the surface of its mechanics and inner logic. To provide a unified theoretical framework, this study highlights the importance of the four pillars of communication design logic (source, situation, intentions, and impact) in the innovation processes. According to communication theories, individual differences in stakeholders' backgrounds, situations, and intentions might result in systematic variations in what and how they communicate, which influences their subsequent beliefs and reactions to innovation outcomes. By examining relevant communications in terms of their design logic, innovation researchers can address a wide range of questions across ideation, development, and implementation stages. Using novel techniques and unstructured data (e.g., text, image, video, audio mining), the current study reveals tactics for exploring such topics across communication types. The proposed framework also raises several research questions that can be pursued to enhance knowledge of how communication design influences innovation management.

The road less travelled: An exploratory study of the association between top management team dissimilarity and innovation capability

Abstract This study extends the upper echelons literature by shedding light on the role of top management team (TMT) dissimilarity, a specific conceptualization of team diversity. TMTs are typically composed of members from different functional areas who have unique information and values. The perception of the degree to which TMT members view themselves as dissimilar from other team members affects the TMT’s decision-making and, therefore, organizational outcomes. However, research does not address this perspective of TMT diversity. We examine how informational and value dissimilarity among TMT members is associated with incremental and radical innovation capability. We survey top managers from various industries and use partial least squares structural equation modeling analysis to explore the association between TMT dissimilarity and innovation capability empirically. The findings show that informational dissimilarity is positively associated with incremental innovation capability. Value dissimilarity is negatively associated with incremental innovation capability, whereas it is positively associated with radical innovation capability.

PUBLIC ANTI-CRISIS MANAGEMENT AND COMMUNICATIONS WHEN PROVIDING EMERGENCY MEDICAL AID IN THE MEDICAL INDUSTRY OF UKRAINE

In this article, the authors focus on several key problems that arise in the process of management and communication in crisis situations related to the provision of emergency medical care. The article examines approaches to managing crisis situations in the sphere of health care of Ukraine in conditions of increased uncertainty and instability. The authors emphasize the importance of effective communication between medical institutions, government structures and the public to ensure prompt response to emergency situations. The article examines various aspects of public crisis management, including planning, organization of resources, and coordination of actions during the provision of emergency medical care. The article analyzes the tools of public management, which allow to minimize various consequences of incoherence of actions between state institutions and medical institutions. Special attention is paid to the importance of prompt decision-making and establishment of communication links between state bodies, medical workers and the population. The possibilities of applying international experience in the field of anti-crisis management and its adaptation to Ukrainian realities are also discussed. The conclusions of the article emphasize the need to reform the health care system in the direction of strengthening its resilience to crises, improving communication mechanisms, and implementing innovative management solutions to increase the effectiveness of providing emergency medical care in emergency situations. The article emphasizes the need for quick decision-making, building effective communication chains between medical staff, patients and other stakeholders. Special attention is paid to the challenges associated with the lack of resources, the limited capabilities of the health care system in the context of crises and the role of leadership in implementing changes. The article also offers recommendations for improving communication processes and management approaches that will contribute to increasing the effectiveness of medical care during emergency situations, particularly in wartime.

Are Good Deeds Rewarded?—The Impact of Traditional Morality and Modern Responsibility on Green Innovation

The essence of intergenerational sustainability emphasizes the necessity of incorporating altruistic thinking and culture. While prior studies primarily examined corporate innovation strategies from a self-interested lens, this paper aims to investigate the drivers of corporate green innovation from an altruistic perspective. Analyzing a sample of Chinese A-share listed companies from 2011 to 2019, we employ both the OLS model and the mediation effect model to explore how traditional morality and modern responsibility impact corporate green innovation, as well as the mechanisms underlying this relationship. Our findings reveal that both traditional morality and modern responsibility significantly enhance corporate green management innovation, with social trust serving as a key mediating factor. Furthermore, traditional morality and modern responsibility play distinctive roles depending on the stage of economic development: traditional morality primarily influences green innovation in the early stages of economic development, whereas modern responsibility becomes more influential as development progresses. This study provides meaningful insights for research and practice in corporate sustainability, business ethics, and innovation strategy.

Analysis of Football Pitch Performances Based on Different Cutting Systems: From Visual Evaluation to YOLOv8

The quality of sports facilities, especially football pitches, has gained significant attention due to the growing importance of sports globally. This study examines the effect of two different cutting systems, a traditional ride-on mower and an autonomous mower, on the quality and functional parameters of a municipal football field. The analysis includes visual assessments, measurements of grass height, and evaluations of surface hardness, comparing the performance of the two cutting systems. Additionally, studies of turfgrass composition and machine learning techniques, particularly with YOLOv8s and YOLOv8n, are conducted to test the capability of assessing weed and turfgrass species distribution. The results indicate significant differences in grass color based on the position (5.36 in the corners and 3.69 in the central area) and surface hardness between areas managed with a traditional ride-on mower (15.25 Gmax) and an autonomous mower (10.15 Gmax) in the central region. Higher height values are recorded in the area managed with the ride-on mower (2.94 cm) than with the autonomous mower (2.61 cm). Weed presence varies significantly between the two cutting systems, with the autonomous mower demonstrating higher weed coverage in the corners (17.5%). Higher overall performance metrics were obtained through YOLOv8s. This study underscores the importance of innovative management practices and monitoring techniques in optimizing the quality and playability of a football field while minimizing environmental impact and management efforts.

Innovative factors affecting performance of local government organizations in Thailand

This dissertation aimed (1) to study factors that have causal influences that affect the performance of municipalities. (2) to study the causal relationship model of innovative organizations, innovative capabilities, service innovation and performance management that influences the performance of municipalities. (3) to develop a linear structural equation model of the influence of service innovation, innovation organization, innovative capabilities and performance management that affects the performance of local government organizations in the category of municipalities in Thailand. The sample group were 320 executives of local government organizations in the category of municipalities in Thailand. Sampling was done in 2 steps: stratified and systematic sampling. This study is a quantitative study, and the research tool was a structured questionnaire and data were analyzed by percentage, mean, standard deviation, skewness, kurtosis, and confirmatory component analysis and structural equation model analysis. The findings of this study demonstrate significant direct effects of innovative capabilities, service innovation and performance management on performance of local government organizations in Thailand. Moreover, it was observed that innovative organizations and innovative capabilities also exerted indirect effects on performance of local government organizations through their influence on performance management, serving as mediator variables. Through the development of a structural equation model, it was determined that innovative capabilities had the greatest overall influence on the performance of local government organizations in the category of municipalities in Thailand, followed by performance management, service innovation and innovation organization, respectively. This research study made executives of local government organizations in category of municipalities in Thailand can be used as a guideline in determining strategies for managing their organization to be able to keep up with changes in the digital world and to ensure that the performance of the local government organization achieves the specified goals in terms of both efficiency and effectiveness.

Seagull-optimized artificial neural network-based innovative energy management system using improvised boost converter and coupled inductor

Seagull-optimized artificial neural network-based innovative energy management system using improvised boost converter and coupled inductor

Optimized Polyhydroxybutyrate Production by Neobacillus niacini GS1 Utilizing Corn Flour, Wheat Bran, and Peptone: A Sustainable Approach

Plastic pollution is a pressing environmental challenge, necessitating the development of biodegradable alternatives like polyhydroxybutyrate (PHB). This study focuses on optimizing PHB production by Neobacillus niacini GS1, a bacterium isolated from a municipal dumping site. By utilizing agricultural residues such as corn flour, wheat bran, and peptone as substrates, we aimed to establish an eco-friendly method for biopolymer production, contributing to sustainable agricultural residue management and bioplastic innovation. The bacterium was identified using morphological, biochemical, and molecular techniques. The optimization process involved adjusting variables such as inoculum age, inoculum size, incubation time, agitation rate, incubation temperature, pH of the medium, carbon sources, and nitrogen sources. Response surface methodology (RSM) was employed to identify optimal conditions, with the highest PHB yield of 61.1% achieved under specific conditions: 37 °C, pH 7, and an agitation rate of 150 rpm. These findings underscore the potential of Neobacillus niacini GS1 in converting agro-industrial residues into valuable biopolymers, promoting sustainable bioplastic production, and advancing agricultural residue valorization efforts through the use of eco-friendly materials.

Challenges of innovation management in health system organizations: evidence from Germany

ABSTRACT The introduction of innovations poses particular challenges for organizations in the healthcare sector. These can be analyzed based on adoption and diffusion theory. In this study, a two-stage qualitative research design consisting of expert interviews (n = 13) and 3 workshops (n = 26) was used to analyze the experiences of healthcare professionals and related disciplines concerning innovation perception and communication and to derive management challenges for organizations. As part of the interview analysis, a total of 489 text segments were deductively assigned to the diffusion process categories of innovation (n = 100), process (n = 15), social system (n = 15) and information exchange channels (n = 59), and a further 219 text segments, synthesized into 18 categories, were inductively identified as management challenges. The results were validated during the workshop and expanded to include findings on innovation transfer and innovation perception. It was shown that digital innovations in organizations in the healthcare system context are associated with high expectations and that these can be influenced by various interacting communication partners and channels. There is a growing impression that the adoption and diffusion processes of telemedicine and digital innovations on an individual, social and organizational level are more subliminal than previously assumed.

Innovative management strategies for groundwater logging in Aswan city and maximization of its benefits using modeling techniques

Groundwater levels vary from region to another and sometimes in different zones in the same country due to different boundary conditions and extraction rates. Therefore, understanding intricate aquifer systems and predicting how they will react to hydrological changes require the use of groundwater models. In Egypt, the groundwater levels in the Nile Delta aquifer decrease causing problems to the delta ecosystem while it is rising in Aswan area due to the presence of Nasser Lake causing several damages to the city’s buildings and infrastructures. In order to maximize its benefits and lessen the harm brought on by inadequate groundwater management in the city of Aswan, the height of the groundwater level in that city was examined, appraised, and groundwater management scenarios were established in this study. To achieve the objectives of the study, a simulation of Aswan aquifer’s groundwater system is built based on a quasi-three-dimensional transient groundwater flow model using MODFLOW. The model was calibrated and verified. Four management scenarios are tested. The fifth scenario, in this scenario, the four scenarios combined together at the same time and with the same conditions and ratios were proposed to be implemented. The results of the proposal to implement the four scenarios together showed that the rates of decline in groundwater levels in the last stage will be 12.44%. The study results reveal that a better understanding of the simulated long-term average spatial distribution of water balance components is useful for managing and planning the available water resources in the Aswan aquifer.

Malpractice in the public sector and its impact on labor outsourcing: a critical analysis for innovation in public management

Malpractice in the public sector and its impact on labor outsourcing: a critical analysis for innovation in public management