Strategic Resource Management Research Articles

Trends of Sediment Resuspension and Budget in Southern Lake Michigan Under Changing Wave Climate and Hydrodynamic Environment

AbstractSediment suspension and transport driven by waves and currents play a significant role in both the ecological and physical environments of large lakes. Lake Michigan has faced a rapidly increasing water level associated with intensified wind waves in the past decade. To investigate the spatiotemporal characteristics of suspended sediment concentration (SSC) and associated coastal sediment budgets in southern Lake Michigan, a 30‐year (1991–2020) hindcast was performed using a coupled wave‐current‐sediment model (SWAN‐FVCOM‐CSTMS). We found that in southern Lake Michigan, the basin‐wide mean SSC increased, and the coastal sediment loss accelerated dramatically, corresponding with intensified waves, currents and lake water level rises over the past decade. The basin‐wide mean SSC, coastal sediment loss, wave height, wind speed, current speed, and water level in southern Lake Michigan are highly correlated. Spatially, the results reveal decreases in coastal SSC and sediment loss in the western portion of the southern basin, while the eastern sectors show an increase in both metrics. This reflects a clear shift in the wave climate and hydrodynamic environment. The alterations in long‐term coastal sediment budgets imply that considerable shoreline transformations are being influenced by modifications in the wave climate. Understanding the spatiotemporal characteristics of SSC and coastal sediment budgets is crucial for strategic water resource management and coastal infrastructure planning.

Unraveling Ghana’s Resource Curse Hypothesis: Analyzing Natural Resources and Economic Growth with a Focus on Oil Exploration

This study examines the intricate relationship between natural resource abundance, with a specific focus on oil production, and its impact on economic growth in Ghana. Through the application of the robust Fully Modified OLS methodology and using data spanned from 1960–2021 the research underscores the essential inclusion of oil as a significant variable in comprehending economic growth dynamics. Contrary to traditional resource curse theories, the study unveils a positive nexus between oil production and economic growth, particularly within a comprehensive variable framework. This finding challenges simplistic resource curse notions and underscores the need for a holistic economic perspective. Overall, the results show that the impact of oil production on economic growth is sensitive to the inclusion or exclusion of other variables in the model. In Model 1, where all variables are included, oil production has a significant positive (0.0112**) impact on growth. Ghana’s success in avoiding the resource curse is attributed to a multifaceted strategy encompassing diversified economic approaches, transparent governance, and responsible oil revenue management. Importantly, the inclusion of oil as a pivotal variable is well-justified by its tangible contributions to economic growth. The observed positive impacts emphasize the benefits of harnessing oil resources while maintaining a holistic view of the broader economic context. Looking ahead, the insights inform policymakers in resource-rich nations, illustrating how strategic resource management—illustrated by oil—can drive resilient and comprehensive economic growth. Ghana’s experience serves as a compelling template for informed policy decisions, offering valuable lessons for achieving sustainable prosperity.

Patterns of Resource Allocation and Divisional Budgets: The CEO's Strategic Lens Across Various Industries

This paper explores how Chief Executive Officers (CEOs) across various industries adapt their resource allocation and divisional budgeting strategies in response to contemporary business challenges. It aims to shed light on the evolving role of CEOs in steering organizational success through strategic initiatives, highlighting the shift from traditional, efficiency-focused models to flexible, value-driven approaches. By conducting a qualitative analysis of recent literature, the study examines patterns in strategic decision-making, focusing on the balance between operational needs and strategic goals amidst changing market conditions. The research emphasizes the impact of industry-specific factors, such as market volatility and organizational size, on these strategic adaptations. Findings reveal a significant trend towards more adaptable and strategic resource management practices among CEOs, moving beyond short-term operational efficiency to support long-term goals. This shift is evident across different sectors, including healthcare, manufacturing, and e-commerce, though the extent and nature of its implementation vary according to each industry's unique challenges and opportunities. The study underscores the importance of strategic adaptability for organizational resilience and success in a rapidly evolving business landscape.

The impact of electronic and self-rostering systems on healthcare organisations and healthcare workers: A mixed-method systematic review.

To synthesise evidence from studies that explored the impact of electronic and self-rostering systems to schedule staff on healthcare organisations and healthcare workers. Mixed-method systematic review. Studies were screened by two independent reviewers and data were extracted using standardised data extraction tables. The quality of studies was assessed, and parallel-results convergent synthesis was conducted. Academic Search Complete, CINAHL, ERIC, MEDLINE, PsycINFO and PsycARTICLES were searched on January 3, 2023. Eighteen studies were included (10 quantitative descriptive studies, seven non-randomised studies and one qualitative study). Studies examined two rostering interventions including self-rostering (n = 12) and electronic rostering (n = 6). It was found that the implementation of electronic and self-rostering systems for staff scheduling impacted positively on both, healthcare workers and healthcare organisations. Benefits included enhanced roster efficiency, staff satisfaction, greater control and empowerment, improved work-life balance, higher staff retention and reduced turnover, decreased absence rates and enhanced healthcare efficiency. However, self-rostering was found to be less equitable than fixed rostering, was associated with increased overtime, and correlated with a higher frequency of staff requests for shift changes. The impact of electronic and self-rostering systems to schedule staff on healthcare organisations and healthcare workers' outcomes was predominantly positive. Further randomised controlled trials and longitudinal studies are warranted to evaluate the long-term impact of various rostering systems, including electronic and self-rostering systems. Rostering is a multifaceted responsibility for healthcare administrators, impacting patient care quality, workforce planning and healthcare expenditure. Given that healthcare staffing costs constitute a substantial portion of global healthcare expenditure, efficient and strategic resource management, inclusive of healthcare staff rostering, is imperative. The 27-item Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) checklist. No Patient or Public Contribution.

Challenges in the Police Gender and Development Initiatives

Explicitly outlined under Sustainable Development Goal (SDG) 5, the United Nations aims to achieve gender equality and empower all women and girls. Furthermore, it has enumerated initiatives to achieve gender equality in police forces. Guided by the UN call, member countries have instituted Gender and Development (GAD) programs within their police forces. In the Philippines, laws, such as Republic Act 9710 or the Magna Carta for Women, were enacted to enforce gender equality in the police force. Section 15 of the law stipulates the fair treatment of women in the police service. But despite these developments, gender issues are still evident in the police force. Hence, it is the objective of the study to determine the challenges encountered by the police force relative to GAD initiatives. The study adopted a qualitative research design, given the involvement of qualitative data and the absence of experimental manipulations. Thematic analysis served as the chosen method for data examination. The results reveal that budget constraints, involvement constraints, speaker competence, and GAD personnel continuity are the challenges experienced by police in their GAD initiatives. Hence, strategic resource management such as cultivating networks with other government and non-government agencies is necessary to address these issues and guarantee that GAD initiatives are focused and accommodating.

Influence Of Operational Management On The Performance Of Battery Distribution Companies At PT. Abadi Sakti Mitra Mandiri

The purpose of this study was to find the effect of operational management on company performance. Operations management is the strategic management of resources to maximize the efficiency and effectiveness of the transformation process, resulting in outputs that produce greater benefits than inputs. Company performance is a level to get results in achieving company goals. The results of this work are concrete, observable, and measurable. The results of this work are concrete, observable, and measurable. This study uses quantitative methods with data processing and analysis to draw conclusions in the form of numeric data (numbers) which will obtain results from the relationship between variables. Multiple linear regression tests, reliability and validity tests, hypothesis testing (partial T test) and (simultaneous F test), and the coefficient of determination. In the research conducted, the sample used was 35 people in the company. The results of this study are linear regression analysis states that the Operational Management Variable has a positive and significant effect on Company Performance at PT Abadi Sakti Mitra Mandiri, with a regression coefficient of 0.968. That way the questionnaire as an instrument is declared feasible.

Time series analysis and development of simulation model for monthly rainfall using ARIMA model

Rainfall holds critical significance for water resource applications, particularly in rainfed agricultural systems. This study employs the Autoregre ssive Integrated Moving Average (ARIMA) technique, a data mining approach commonly used for time series analysis and future forecasting. Given the increasing importance of climate change forecasting in averting unexpected natural hazards such as floods, frost, forest fires, and droughts, accurate weather data forecasting becomes imperative. The objective of this study was to develop a Seasonal Auto-Regressive Integrative Moving Average (SARIMA) model for forecasting monthly rainfall in Junagadh Station, Gujarat. Utilizing 50 years of historical data (1968 to 2016), the SARIMA model predicts weekly rainfall for the subsequent five years (2018 to 2022). Through comprehensive evaluation using ACF and PACF plots, AIC, SBC, MAPE, and MAE values, the study identifies SARIMA (1,0,0)(3,1,1)12 as the optimal model, offering the most accurate prediction. The robust results affirm that the SARIMA model provides reliable and satisfactory weekly rainfall predictions. This research contributes valuable insights into the precision and efficacy of SARIMA models for rainfall forecasting, aiding in strategic water resource management in the Junagadh region.

Strategic resource management for economic sustainability: Assessing the impact of technological advancement and energy efficiency

In the last two decades, numerous empirical studies have been done exploring the relationship between natural resources and economic growth. Still, the contradictory findings lead the policymakers and governments to adopt inadequate and inappropriate policies for sustainable development. Following the trend, the present study examines the nexus of natural resources and trade with the economic performance of the top global economies during 1988–2021. Using the second and third-generation econometric approaches, this study found the validity of the long-run equilibrium relationship between mineral rents, trade, oil rents, and economic performance. This study employs the cross-section augmented autoregressive distributed lag estimator and concludes that natural resources are adversely affecting the economic performance of the region. However, trade has a beneficial impact on the economic performance. The results are found robust, where energy efficiency and technological advancement are progressively influencing economic performance. This study suggests resource management and improved trade policies to attain economic sustainability.

Ensuring the viability of the organization through the management of strategic resources

In modern conditions, the domestic economy and Russian business are focused on overcoming the negative consequences of the suspension of integration interaction between the Russian and Western economic communities, caused by both crisis phenomena in the economy and sanctions pressure. The article examines the role of strategic resource management in ensuring the vital activity of the organization. The relevance of the research topic is due to the fact that the instability of the conditions for the life of companies currently calls for a strategic approach in the management of organizations. The successful life of an enterprise is based on the effectiveness of its activities and effective management, including strategic resources. It is noted that the management of strategic resources of an organization and the definition of its life cycle is an important tool in the formation of a development strategy and ensuring the viability of a business. The ability to ensure the viability of an organization through the competent management of its strategic resources is a prerequisite for the economic sustainability of a business, its competitiveness in the market and a factor for further growth and efficiency.

Advancing Sustainable Agriculture through Resource Efficiency

Efficiency in technology, distributive effectiveness, and environmental effectiveness all have the potential to be included in the general concept of "resource use efficiency in agriculture." An effective farmer distributes his resources, including labourers, water, and land, appropriately in the best possible way to enhance his revenue while minimising expenses over time. Multiple research studies, however, demonstrate that farmers frequently make inadequate use of their resources. This study presents a comprehensive analysis of various farming practices and technologies, highlighting their impact on agricultural efficiency and resource use. Also, this review investigates the incorporation of advanced technologies such as the Internet of Things (IoT) into agriculture, emphasising the significance of environmental and economic factors in achieving sustainable agricultural productivity. With a focus on the ASEAN region and specific case studies, it assesses how carbon emissions, deforestation, renewable energy, and biodiversity affect farming efficiencies. The paper underscores the value of biodiversity, including underutilized and neglected species, and the potential of IoT and associated technologies to enhance agricultural operations. Moreover, it discusses about how resource optimization models can be used to increase agricultural yields and address environmental issues. A fundamental necessity for strategic management of water resources and joint utilization of water resources to support sustainable agriculture is also emphasized in the evaluation.

Assessing Water Resource Sustainability in the Kabul River Basin: A Standardized Runoff Index and Reliability, Resilience, and Vulnerability Framework Approach

The sustainability of water resources is fundamental for basin management, especially in regions where changing hydrological conditions due to climate extremes are prevalent. This study presents a comprehensive assessment of the Kabul River Basin (KRB) sustainability using the Standardized Runoff Index (SRI) as a runoff indicator. By integrating the concepts of reliability, resilience, and vulnerability (RRV), this research aims to provide a granular understanding of water sustainability within the basin. Utilizing future climate projections derived from the mean ensemble of Global Climate Models (GCMs) of Coupled Model Intercomparison Project Phase 6 (CMIP6) under two shared socioeconomic pathways (SSP2-4.5 and SSP5-8.5), the Soil and Water Assessment Tool (SWAT) model simulated surface runoff for the KRB. Employing a grid-based approach, this study uncovers the internal variabilities within the basin, recognizing that individual grid points may present distinct water availability characteristics. Historical analysis indicated a decline in the KRB’s sustainability, attributed to increased vulnerability and reduced reliability and resilience. Future projections emphasize the basin’s susceptibility to runoff variations, particularly in downstream areas characterized by dense populations and intense agricultural activities. These findings accentuate the need for strategic water resource management within the KRB to address localized vulnerabilities and ensure sustainable water availability amidst climatic uncertainties.

Stochastic Time Series Analysis, Modeling, and Forecasting of Weekly Rainfall Using Sarima Model

Rainfall holds critical significance for water resource applications, particularly in rainfed agricultural systems. This study employs the Autoregressive Integrated Moving Average (ARIMA) technique, a data mining approach commonly used for time series analysis and future forecasting. Given the increasing importance of climate change forecasting in averting unexpected natural hazards such as floods, frost, forest fires, and droughts, accurate weather data forecasting becomes imperative. The objective of this study was to develop a Seasonal Auto-Regressive Integrative Moving Average (SARIMA) model for forecasting weekly rainfall in Junagadh Station, Gujarat. Utilizing 53 years of historical data (1963 to 2016), the SARIMA model predicts weekly rainfall for the subsequent five years (2018 to 2022). Through comprehensive evaluation using ACF and PACF plots, AIC, SBC, MAPE, and MAE values, the study identifies SARIMA (0,0,4)(0,1,1)52 as the optimal model, offering the most accurate prediction. The robust results affirm that the SARIMA model provides reliable and satisfactory weekly rainfall predictions. This research contributes valuable insights into the precision and efficacy of SARIMA models for rainfall forecasting, aiding in strategic water resource management in the Junagadh region.

Playful Approaches to Leadership Development: Three Innovative Uses of Games in the Classroom

How can educators use games and playful interactions to enhance the practice of skills related to leadership and management? Effective leadership involves a number of skills, such as strategic thinking, perspective-taking, critical thinking, ethical thinking, resource management, and reflection on one’s biases. In this article, we will review how three different instructors use games and play in their higher education classrooms to teach critical leadership skills. We will share how we use three different types of games: (1) a commercially-available off-the-shelf digital game ( Democracy 4) to enhance resource management and ethical thinking skills; (2) a non-digital card game ( @Stake Game) to teach critical thinking and argumentation; and (3) an independent (indie) digital game ( SweetXHeart) to teach bias reduction and perspective-taking. We will share best practices and recommendations for using games in leadership and management education.

Exploring the food-energy-water nexus in China's national industries: Insights from network structure and production disturbances

Understanding the food-energy-water nexus (FEWN) among industries' input–output activities is vital for the management of regional strategic resources. However, identifying key nexuses and quantifying their effects within an economy-wide dimension remain a challenge. This study integrated the frameworks of social network analysis (SNA) and computable general equilibrium (CGE) methods based on input–output data, presenting a new methodology to assess inter-industrial FEWN in China. Results indicated that: (1) Agriculture and catering industries were the principal food provision industries in the national economy. They also linked production activities among the food, energy, and water (FEW) sectors. (2) Fossil energy extraction industries with high betweenness centrality were the product circulation media in the industrial network. Their increased outputs could clearly boost domestic production. For instance, the yield of most national industries was expected to expand by 0.5 %–1.5 % due to a 10 % increase in coal supply. The electricity and petroleum processing industries with the highest response coefficients were the mainstays of China's economy. They exerted wide-ranging effects on other industries through short input–output paths. (3) Water-related industries could readily use products and services from other sectors and create demand-driven effects on FEW industries. In contrast, the output scale of national industries was not sensitive to changes in water input. These findings also highlighted the importance of conducting a FEWN evaluation within a balanced macroeconomic system. The proposed SNA–CGE analytical framework showcased good applicability and accuracy in the context of China and could serve as a reference method for FEWN research in other regions.

WRF-Hydro for Streamflow Simulation in the MATOPIBA Region within the Tocantins/Araguaia River Basin—Brazil: Implications for Water Resource Management

The effective management of water resources in regions with a high potential for water resources, such as the Tocantins/Araguaia Basin in Brazil, is crucial in the face of current climate change and urban and agricultural expansion. In this context, this study evaluates the WRF-Hydro hydrological model to simulate the flow of the Manuel Alves Pequeno, Vermelho, and Manuel Alves Grande rivers in the MATOPIBA region (encompassing areas from the states of Maranhão, Tocantins, Piauí, and Bahia), an agricultural frontier and the most key area in terms of grain production in Brazil. The aim is to analyze the hydrological parameters of soil infiltration, surface retention depth, land surface roughness, and Manning’s channel roughness. The simulations are conducted at a spatial resolution of 3 km with a channel network of 100 m, covering a period of heavy rainfall from 13 March to 1 June 2018. For model validation, observational data from three river gauge stations of the National Water and Sanitation Agency are used, with assessments based on the Nash-Sutcliffe efficiency index, standard deviation of observations, root mean square error, percentage bias, and correlation coefficient, resulting in values of 0.69, 0.56, 4.99, and 0.83, respectively. In particular, the adjustment of the infiltration factor and surface roughness parameter has a greater contribution to improving the statistical results than the adjustment of the other two hydrological parameters. Additionally, the quality of discharge simulation at each river gauge station is correlated with the temporal distribution of simulated precipitation compared to observed data in the drainage network. Highlighting WRF-Hydro’s potential as a fine-scale model easily coupled with numerical weather prediction, this study significantly advances regional river dynamics evaluation, crucial for strategic water resource management.

Impact of Strategic Management on Effective Implantation of Organisational in Public Sector Organisations in Zambia – A Literature Review

The purpose of this conceptual paper is to describe and contextualize the important, but yet under reported phenomenon, strategic management, and its role on effective implementation of organisational change in Zambia’s public sector organisations. The author used extensive review of literature that encapsulates the key issues around public sector strategic management elements such as strategic planning, resource management and evaluation and control. This paper significantly contributes to the theoretical aspects as regards public sector strategic management. The paper argues that strategic management is critical for improving organisational performance as it forms a basis for resource allocation, performance evaluation, and recruitment of suitable staff and wide range of other management tasks.

Measures to promote energy, economic and environmental sustainability for an optimal workforce portfolio between Algerian sectors at the 2030 horizon using fuzzy goal programming approach

Navigating towards a sustainable future, Algeria engages in strategic resource management to fulfill its 2030 vision. This study delineates a Fuzzy Goal Programming (FGP) model, inte-grating economic objectives with ecological and energy sustainability. The framework priori-tizes renewable energy, marking a decisive pivot from traditional hydrocarbon reliance to meet global environmental mandates. It also maps out a strategic redistribution of the workforce, signifying a shift towards a diversified, innovation-led economy that embraces sustainable methodologies. The implementation of the model offers a robust, empirical tool for decision-makers, harmonizing Algeria's specific socio-economic attributes with broader, global sus-tainability trends. The outcome is a blueprint for a robust, renewable-centric economy, posi-tioning Algeria at the forefront of sustainable development and energy reform.

Strategic management of natural resources through human, technological, and institutional resources: Sustainable curing the resource curse

The small manufacturing units in Pakistan are increasing over time, but the sustainability of these businesses is questioned. Despite a large amount of research on the management of businesses with sustainability, little is known about the practices for sustainability in small and medium enterprises. To address this knowledge gap, this study was initiated to determine the impact of resource governance, natural resource abundance, human capital development, technological innovations, and institutional quality on the sustainable development of small manufacturing firms. Data for this research was collected with a cross-sectional approach employing a 7-point Likert scale questionnaire, and the sample size was based on 577 small manufacturing sector employees. The partial least squares–structural equation model (PLS-SEM) approach was used to analyze the data, and the study reported that the mediating influence of human capital development and technological innovations is significant between resource governance, natural resource abundance, and sustainable development. This study confirmed that the small manufacturing sector can use institutional quality to influence technological innovation, human capital development, and sustainable development. The novelty of the research relies on its model and the theoretical contributions to the literature. This research significantly reported that resource governance and natural resource abundance are critical for the sustainable development of small manufacturing firms.

Стратегическое управление региональными туристскими ресурсами как фактор развития территории в новых условиях

Based on the analysis of regional tourism strategies, the article emphasizes the challenges and benefits of the strategic approach to tourism development. The authors analyzed various approaches to strategic management of tourism resources and identified current trends and contradictions. The conceptual provisions for strategic management of tourism development in the region based on subject-object and systemic approaches are presented. The methodological basis of the study is presented by the results of research by domestic and foreign specialists, in which a comprehensive analysis of the conditions and specifics of strategic management of regional development with the identification of promising opportunities for the integration of relevant innovative methods in the regional social and economic system was carried out. In accordance with this, the following general theoretical and special research methods were applied in the course of the study: statistical analysis, generalization, grouping, systematization, deduction, and induction. The study showed that the methodology for the promotion of tourism resources requires the improvement of strategic management tools, especially in the current context of an increasingly turbulent external environment and the transition to modern methods and models of territorial development. Taking into consideration the two main directions of development of the tourism industry, i.e., external and internal tourism, the following factors of strategic development are expected to be analyzed: the geographical position of the region, the development of transport infrastructure, and natural and climatic features. External factors such as sanctions, pandemics, and other restrictions also affect the formation and development of tourism potential. Thus, in the context of the restrictions caused by the pandemic, domestic tourism grew considerably. Government-supported regional initiatives in the form of the National Project “Tourism and Hospitality Industry” became a strategic stimulus for regional tourism. The management of the strategy for the development of regional tourism resources involves the development of a desired image of the tourism sector in the region, the identification of priority areas, and effective promotion tools based on the methods of territorial marketing.

Enhancing Breeding Potential and Genetic Conservation: A Comprehensive Approach to Plus-Tree Selection for Tilia amurensis Improvement

The timber degradation and overexploitation of Tilia amurensis necessitate strategic genetic resource management. This study presents a comprehensive approach to plus-tree selection, focusing on growth evaluation. Drawing from the procedures developed for evergreen oak, it encompasses base population selection, criteria establishment, forest stand investigation, standardized measurements, and tree selection. This study advances the baseline selection methods by emphasizing growth differentiation through age and environmental adjustments. A total of 62 superior individuals were selected from 176 candidates across 20 populations, effectively expanding the geographical boundaries. This growth-centric improved approach offers practical insights for selective breeding and genetic conservation, and addresses the ecological characteristics of the species. This study underscores the need for further exploration of genetic differentiation and biological traits to provide a foundation for refining T. amurensis tree improvement programs. In a broader context, these findings contribute to the understanding and sustainable management of diverse broadleaf forests.