Resource Model Research Articles

Theoretical foundations of circular business models in the agriculture sphere: classification, components, and functions

The article is dedicated to the practical implications of circular business models in the agro-food sector, classifying their types and explaining their strategic components and functions. We explore resource models, design models, models of extending the product life cycle, platform models, product as a service, and end-of-life models of the product. We also delve into cascade processes, which are circular processes that involve the creation of reverse biological cycles and the use of biomass to produce products with a more significant share of added value. The importance of these models for preserving the value and duration of the life cycle of biological materials in closed agro-product networks is highlighted. We outline the architecture and strategic basis of business models in agri-food production based on three key components (value proposition, generation of social value, and management of social value). We substantiate a set of functions of circular business models of agro-food production, among which the function of preserving value, the function of extending the life cycle, the function of organization, the function of creating and maximizing additional value, and the function of maximizing income streams are highlighted. Circular business models in the agri-food sector should be considered a strategic tool for achieving sustainable development goals and ensuring business entities' economic sustainability. We substantiate that business models of a closed cycle are a promising and priority way of further socio-economic development, contribute to the solution of society's acute socio-economic and environmental problems, and ensure the creation of a basis for further economic development and growth. Keywords: models, functions, circular economy, business models of closed production, ensuring the sustainability of systems, agricultural enterprises.

How Employee Career Sustainability Affects Innovative Work Behavior under Digitalization

The increasing adoption of cutting-edge technologies, such as cloud computing and machine learning by robots that replace human workers, has posed serious challenges to employees’ career sustainability (CS), affecting their innovative work behavior (IWB). As the digitalization of the workplace continues to progress as normal, further investigations into the relationship between CS and IWB are urgently required. In response, we investigate the relationships among CS, IWB, human capital (HC), and user resistance (UR). Using data collected from 537 employees in Chinese high-tech enterprises, structural equation and regression analyses were performed. Our results reveal that (1) three dimensions of CS (career renewability, career flexibility, and career integrity) are positively related to IWB, while the fourth dimension of CS (career resourcefulness) exerts inverted U-shaped influences on IWB, and (2) there is a significant dual moderating effect between UR and HC on the four dimensions of CS and IWB, with the former demonstrating a negative effect and the latter showing a positive effect. These findings offer valuable insights for global managers and policymakers to more appropriately implement HR practices in this highly competitive international market. Adopting a conservation of resources theory (COR) framework and the Job Demands–Resources model (JD-R), we theoretically elucidate how different dimensions of CS serve as personal resources for IWB in the digitalized context, thereby enriching the literature on innovative behavior and career development.

The Factors Affecting Productivity in Healthcare Sector

Purpose: Due to increasing cost pressures, and the necessity to ensure high quality patient care while maintaining a safe environment for patients and staff, interest in the capacity for HRM practices to make a difference has piqued the attention of healthcare professionals. The purpose of this papers is to present and test a model whereby engagement mediates the relationship between four HRM practices and quality of care and safety in two different occupational groups in healthcare, namely, nurses and administrative support workers.Design/methodology/approach: Structural equation modeling was used to analyze questionnaire data collected by the National Health Service as part of their Staff Survey .The authors tested the hypotheses for nurses and administrative support workers separately.Findings: Training, participation in decision making, opportunities for development, and communication were positively related to quality of care and safety via work engagement. The strength of the relationships was conditional on whether an employee was a nurse or administrative support worker.Originality/value: This is the first paper to examine the mediating role of engagement on the relationship between four relevant HRM practices in the healthcare context, and outcomes important to healthcare practitioners. The authors also add value to the HRM literature by being among the first to use the job demands resources model to explain the impact of HRM practices on performance outcomes. Moreover, the authors provide insight into how HRM practices affect outcomes in the world’s largest publicly funded healthcare service

Modeling and Optimization of Teachers' Organizational Commitment Strengthening

This study aims to find strategies to strengthen the Organizational Commitment of Teachers by analyzing the influence of variables that have a positive and dominant effect on Teacher Organizational Commitment. The research was conducted in 7 State MTs (Islamic Junior High Schools) in Cianjur Regency with a sample of 138 civil servant teachers. This research uses the POP-SDM approach (Modeling and Optimization of Management Resources) with SITOREM analysis to generate optimal solutions from the existing solutions. From this research, it was found that there is a positive and significant influence of transformational leadership on teacher organizational commitment with a standard factor loading value of 0.16, work climate on teacher organizational commitment with a standard factor loading value of 0.27, professional attitude towards teacher organizational commitment with a standard factor loading value of 0.50, transformational leadership on professional attitude with a standard factor loading value of 0.33, work climate on professional attitude with a standard factor loading value of 0.52. Meanwhile, the optimal solution obtained is that all indicators need to be improved with the priority order of improvements as follows: having a sense of responsibility, being enthusiastic about learning, pride in the profession, support from superiors, openness among teachers, high tolerance, freedom of expression, exemplary behavior, raising awareness of vision and mission, inspiration, charisma, responsibility, loyalty, seriousness, and the desire to stay in the organization. The implication of the research is that if organizational commitment is to be strengthened, development is needed in transformational leadership, work climate, and professional attitude.

A data-driven combined prediction method for the demand for intensive care unit healthcare resources in public health emergencies

BackgroundPublic health emergencies are characterized by uncertainty, rapid transmission, a large number of cases, a high rate of critical illness, and a high case fatality rate. The intensive care unit (ICU) is the “last line of defense” for saving lives. And ICU resources play a critical role in the treatment of critical illness and combating public health emergencies.ObjectiveThis study estimates the demand for ICU healthcare resources based on an accurate prediction of the surge in the number of critically ill patients in the short term. The aim is to provide hospitals with a basis for scientific decision-making, to improve rescue efficiency, and to avoid excessive costs due to overly large resource reserves.MethodsA demand forecasting method for ICU healthcare resources is proposed based on the number of current confirmed cases. The number of current confirmed cases is estimated using a bilateral long-short-term memory and genetic algorithm support vector regression (BILSTM-GASVR) combined prediction model. Based on this, this paper constructs demand forecasting models for ICU healthcare workers and healthcare material resources to more accurately understand the patterns of changes in the demand for ICU healthcare resources and more precisely meet the treatment needs of critically ill patients.ResultsData on the number of COVID-19-infected cases in Shanghai between January 20, 2020, and September 24, 2022, is used to perform a numerical example analysis. Compared to individual prediction models (GASVR, LSTM, BILSTM and Informer), the combined prediction model BILSTM-GASVR produced results that are closer to the real values. The demand forecasting results for ICU healthcare resources showed that the first (ICU human resources) and third (medical equipment resources) categories did not require replenishment during the early stages but experienced a lag in replenishment when shortages occurred during the peak period. The second category (drug resources) is consumed rapidly in the early stages and required earlier replenishment, but replenishment is timelier compared to the first and third categories. However, replenishment is needed throughout the course of the epidemic.ConclusionThe first category of resources (human resources) requires long-term planning and the deployment of emergency expansion measures. The second category of resources (drugs) is suitable for the combination of dynamic physical reserves in healthcare institutions with the production capacity reserves of corporations. The third category of resources (medical equipment) is more dependent on the physical reserves in healthcare institutions, but care must be taken to strike a balance between normalcy and emergencies.

The Applications of WFEM in the Exploration of Medium-Depth Geothermal Resources

Medium-depth geothermal energy mainly consists of two types, hydrothermal and dry-heat rock. With huge resource reserves, its exploration and development are of great significance to the transformation of China’s energy structure and the realization of the goal of “Double-Carbon”. From the differences in the electrical characteristics between hydrothermal and hot dry rock geothermal resources, this project uses the numerical modeling of the wide field electromagnetic (WFEM) method as a tool to design a model of typical geothermal resources. Then, we summarize and analyze the detection capability of the WFEM by calculating the WFEM response under the conditions of different depths, resistivity values, thickness-to-depth ratios and other parameters. Moreover, aiming at the key problems faced by the WFEM in real applications, we discuss the factors affecting the detection accuracy and give solutions to improve the reliability of the detection results. Finally, the medium-depth geothermal energy detection in the Jiyang Depression of Shandong is presented as an example, showing how the WFEM detection technique was used with the inversion result profile obtained. By comparing the results of geomagnetic and seismic detection on the same survey line, it is demonstrated that the WFEM method has great potential in the exploration of medium-depth geothermal energy and can be the preferred method.

Online English Resource Integration Algorithm based on high-dimensional Mixed Attribute Data Mining

To improve the scalability of resources and ensure the effective sharing and utilization of online English resources, an online English resource integration algorithm based on high-dimensional mixed-attribute data mining is proposed. First, an integration structure based on high-dimensional mixed-attribute data mining is constructed. According to this structure, the characteristics of online English resources are extracted, and historical data mining is carried out in combination with the spatial distribution characteristics of resources. In this way, the spatial mapping function of features is established, and the optimal clustering center is designed according to the clustering and fusion structure of online English resources. At this node, the clustering and fusion of online English resources are carried out. According to the fusion results, the distribution structure model of online English resources is constructed, and the optimization research of the integration algorithm of online English resources is carried out. The experimental results show that the integration optimization efficiency of the proposed algorithm is 89%, and the packet loss rate is 0.19%. It has good integration performance, and can realize the integration of multi-channel and various forms of online English resources.

A copula-based secured intelligent dynamic-static energy community transportation system for smart cities

This paper addresses a secured co-dynamic model for the energy management of Electrical Vehicles (EVs) within the real community transportation system (RCTS). The proposed model aims to facilitate interoperability among mobile energy resources within the smart city, enabling the RCTS to model the co-dynamic-static transportation systems (TSs) simultaneously. The energy management model within the traffic flow system focuses on dynamic assignment, considering the power consumption associated with the density of moving vehicles. EVs play a key role in economically managing energy in both static and dynamic behaviors within charging stations while aligning with the current traffic flow.To enhance data security within the smart city ecosystem, a directed acyclic graph (DAG)-based decentralized cyber security approach is recommended. This approach ensures that data transactions involving mobile energy resources are secured against cyber-attacks through the use of public, private, and transaction blocks. Additionally, an uncertainty-based copula function is presented to create a precise management environment within the smart city. The results indicate that the proposed model for transportation energy resources tends to reduce energy costs by optimally controlling energy consumption within traffic flow, compared to normal conditions.

Recharging exhausted parents: How and when involvement in children's education increases working parents' flourishing at home and engagement at work

AbstractParental involvement in children's education is highly valued and encouraged in many societies. While existing research has mainly focused on the positive effects parental involvement has for children, we argue that engaging in such quality parent–child interactions can also be a resource‐gaining process for parents. Drawing on the conservation of resources theory and the work–home resources model, the current study aims to investigate how and when working parents' involvement in children's education enhances their well‐being at home and engagement at work. Using a two‐wave survey of 206 full‐time employees with at least one school‐aged child, our results indicate that for parents experiencing higher levels of parental burnout, involvement in their children's education enhances their flourishing experience at home and subsequently improves work engagement and creative process engagement at work. Overall, our study contributes to the well‐being and work–family interface literature by highlighting the positive effect of parental involvement, an underexplored construct, on working parents' well‐being both at home and in the workplace. This study also provides practical implications for burned‐out working parents that they can benefit from involving themselves in their children's education to cope with and thrive from family demands.

Beyond formal innovation: family supportive supervisor behavior promote employee bootlegging behavior through thriving at work

Bootlegging behavior enables employees to better utilize their creativity to contribute more to their organization. Therefore, the facilitative antecedents of employee bootlegging must be emphasized. The role of family supportive supervisor behavior (FSSB), which is critical in the increasingly prevalent telecommuting context of the post-pandemic era, in facilitating employee bootlegging behavior has not received enough attention. Thus, combining the telecommuting context with the work–home resource model and using thriving at work and proactive personality as a mediator and moderator, respectively, we constructed a moderated mediation model to test whether, how, and when FSSB facilitates employee bootlegging behavior. The empirical results, based on an analysis of 277 telecommuters, indicate that FSSB positively influences employee bootlegging behavior directly and indirectly through thriving at work, and proactive personality plays a moderated mediating role in the first stage. This study expands research on the antecedents of employee bootlegging behavior, deepens understanding of FSSB and thriving at work in the telecommuting context, and provides suggestions on addressing the challenges of innovation for telecommuters.

A two-stage robust configuration optimization model and solution algorithm for new flexibility resources considering uncertainty response characterization

As the proportion of new energy continues to increase, the safety and stability of the new power system are challenged, urgently requiring the allocation of new flexible resources. This paper proposes a two-stage robust capacity optimization model considering flexibility demand constraints. Firstly, the uncertain characteristics of new energy are described, and a model of flexible resource adjustment capacity is established. Then, uncertain parameters are introduced to construct a robust capacity optimization model considering supply-demand balance, solved by column constraint generation algorithm and KKT theorem. Finally, a power system in a certain region of China is selected as the simulation object for empirical analysis to verify the effectiveness of the constructed model. The results show that the two-stage robust configuration optimization model constructed in this paper can address the uncertainty of power system and the flexibility demand brought by new energy, and the planning results can achieve a balance between the safety and economy of the new power system.

Model for integration of information and communication technologies in resource sharing practices for enhanced service delivery in academic libraries in southeast Nigeria

PurposeThis study aims to develop a model for integration of information and communication technologies (ICTs) in resource sharing practices for enhanced service delivery in academic libraries in Southeast Nigeria. Seven objectives guided the study; ICT-based resource sharing practices in academic libraries in Southeast Nigeria; ICT infrastructure for resource sharing; ICT needs of librarians for resource sharing practices; stages of ICT integration in resource sharing; perception of librarians towards ICT-based resource sharing; challenges to integration of ICT in resource sharing practices; design a model for the integration of ICT into resource sharing; all in academic libraries in Southeast Nigeria.Design/methodology/approachThe research design adopted for this study is the mixed research design containing the “descriptive survey” research design and the “research and development, R&D.” The population of the study is 164, comprising all of the librarians in federal universities in Southeast Nigeria. All of the librarians of the five federal universities will be involved in the study. Hence, there was no sampling. The instrument for data collection is a structured questionnaire.FindingsThe findings of the study revealed that 88.8% of the librarians use ICT to boost the volume of resources; while 74% of the librarians were positive in all responses pertaining to ICT-based resource sharing practices in the libraries. The study also revealed that ICT infrastructures in the library for resource sharing are highly available and applicable; while computers and internet networks are the most needed gadgets for the operations. Libraries in Southeast Nigeria are in the applying and transforming stages of ICT adoption at a 69.7% response rate; while the librarians have a strong belief and understanding that a lot can be achieved in resource sharing through ICT; and would recommend such. Poor electrification, inadequate funding and unavailability of some ICT technologies were equally identified as challenges. The study conclusively developed a resource sharing model, the Southeast Federal University Library Connect; accessible at https://southeastfeduniconnect.njh.com.ngOriginality/valueThe research study is one of the few types of research that has developed a functional model for resource sharing in academic libraries in Southeast Nigeria.

Risk assessment of man‐machine systems under safety‐critical multitasking situations

AbstractMultitasking is increasingly common in highly complex and safety‐critical systems, especially under abnormal situations. Mental overload (MOL) may occur and result in forgetting/mistaking tasks uncertainly. Such probabilistic errors could have catastrophic consequences and contribute greatly to the multitasking risk of man‐machine systems. In this paper, to better identify the risks of safety‐critical multitasking situations, MOL mechanism is investigated and a risk analysis method considering MOL is proposed. MOL occurs when the demand for resources estimated by Multiple Resources Model exceeds an operator's ability. Then, the operator's performance degrades, and s/he tends to mistake or abandon parts of tasks. Based on the MOL mechanism, a MOL‐performance dependency (MOL‐PDEP) gate is proposed to incorporate MOL into risk analysis. Its inputs are concurrent tasks, and it triggers the related hazardous human behavior events with certain probabilities if MOL occurs. Through this gate, the dependence among these events and their nondeterministic cause relationships to MOL are added to traditional fault tree (FT), which presents a challenge issue to FT analysis. An implicit method is proposed to analyze the FT with MOL‐PDEP gate and calculate the accident probability. A case study on a helicopter crash accident demonstrates the effectiveness of the proposed method.

The future is transient: Barriers and opportunities for improved UK water resource climate change assessments using the enhanced Future Flows and Groundwater (eFLaG) climate service products

AbstractUK water resources face a number of challenges when planning for an uncertain future. Climate change impacts and what future droughts might look like can be a significant contributor to this uncertainty. Recent and potential future developments (e.g. ever‐finer resolutions) in climate modelling offer the potential for running bias‐corrected transient future scenarios through hydrological, hydrogeological and water supply models, providing users with droughts of differing severity, frequency, spatial extent and duration to those experienced historically, incorporating changes over time and an understanding of climate model uncertainty. The recent enhanced Future Flows and Groundwater (eFLaG) project sought to demonstrate a climate service using these transient scenarios, with the aim of enhancing the resilience of the water industry to drought events and complementing existing approaches. The project demonstrated the use of this transient climate change information within a water resource setting, using a variety of hydrological and water resource models to help illuminate potential gaps and issues with such an approach. If we are to realise the potential of transient scenarios, a number of barriers – both scientific and organisational – need to be overcome. We present a road map for the future based on outcomes from the eFLaG project, as well as ways the eFLaG projections could be used to improve system resilience in the present.

Organizational and Individual Resources as Buffers of Work–Family Conflict Linkages to Affect: An Application of the Job Demands and Resources Health Impairment Model

Work–family conflict is a phenomenon known to affect an individual’s well-being. However, its affective consequences are yet to be explored. In this study, we focus on understanding work–family conflict affective consequences on positive and negative affect. Our approach aims to refine the Job Demands and Resources model (JD-R model) by incorporating affect as a psychological mechanism in the health-impairment process and by exploring family-supportive organizational perceptions and psychological detachment as moderators. The final sample was composed of 195 couples, with men’s mean age around 46 years old (M = 46.85, SD = 0.34) and women’s age around 44 (M = 44.23, SD = 0.37). Men worked an average of 44.46 h per week (SD = 0.83), while women worked an average of 39.79 h per week (SD = 0.65). The majority of couples had full-time jobs (77.9% of men and 73.8% of women), worked fixed schedules (55.4% of men and 73.8% of women), were employed by others (75% of men and 82.8% of women), and worked for small companies (54.6% of men and 40% of women). Concerning education, most of the men (81.3%) and women (71.4%) attended high school or had less than 12 years of education. To test our moderation models, PROCESS version 4.1st macro for SPSS was used. Additional analyses included correlations and paired mean comparisons. Our findings indicate that work–family conflict correlates positively with negative affect and negatively with positive affect. Psychological detachment moderated the effect of work–family conflict on negative affect for women, but did not moderate the relationship with positive affect for men or women. Family-supportive organizational perceptions also did not moderate any of the proposed relationships. This study highlights how the ability to detach and separate family and professional domains is important and supports the health-impairment process of the Job Demands and Resources model through affective experiences.

There and back again: The roles of morning- and evening commute recovery experiences for daily resources across the commute-, work-, and home domain

Commuting is a global phenomenon that has primarily been studied in terms of its costs. However, anecdotes and recent theorizing suggest that some employees enjoy their commutes. Is it, thus, possible that commuting can also be beneficial for employees? We integrate the Work–Home Resources model with the Conservation of Resources theory to conceptualize commuting as a source of recovery that facilitates daily resource gain spanning the commute-, work-, and home domain. Specifically, we hypothesize that morning commute recovery experiences (relaxation, mastery and detachment) trigger resource gains in the work domain, manifesting in increased subjective vitality as a manifestation of physical and cognitive energy. Higher levels of subjective vitality in the work domain, in turn, are positively related to work-to-home commute recovery experiences and associated subjective vitality in the home domain. Furthermore, we explore commute duration as a contingency factor of the relationships between commute recovery experiences and subjective vitality at work and home. A diary across ten workdays largely supports our hypothesized model. On days with higher levels of relaxation during the morning commute, employees experience daily resource gains that culminate in increased evening subjective vitality in the home domain through relaxation during the evening commute.

Considering inclusive education through international research partnerships involving organizations from Ghana and Canada

This paper responds to the question: In what ways can an international research partnership involving partners from Canada and Ghana contribute to efforts to foster inclusive education in schools? We describe a research partnership which involved universities in Canada and Ghana, civil society organizations, schools, and government offices. We examine opportunities and learning experiences which were facilitated by the partnership. Key lessons from the partnership are articulated. We propose a framework, the 4R Model for International Research Partnership, where reciprocity, responsiveness, relationships, and resources are prioritized, to ensure that international research partnerships are best positioned to accomplish their goals.

Optimal configuration method of demand-side flexible resources for enhancing renewable energy integration

Demand-side flexible load resources, such as Electric Vehicles (EVs) and Air Conditioners (ACs), offer significant potential for enhancing flexibility in the power system, thereby promoting the full integration of renewable energy. To this end, this paper proposes an optimal allocation method for demand-side flexible resources to enhance renewable energy consumption. Firstly, the adjustable flexibility of these resources is modeled based on the generalized energy storage model. Secondly, we generate random scenarios for wind, solar, and load, considering variable correlations based on non-parametric probability predictions of random variables combined with Copula function sampling. Next, we establish the optimal allocation model for demand-side flexible resources, considering the simulated operation of these random scenarios. Finally, we optimize the demand-side resource transformation plan year by year based on the growth trend forecast results of renewable energy installed capacity in Jiangsu Province from 2025 to 2031.

VIRTUAL SIGN LANGUAGE INTERPRETATIONS IN OPEN AND DISTANCE EDUCATION: A PROBE INTO ‘ENABLERS’ AND ‘CONSTRAINTS’

In line with the philosophy of inclusion and various legislative instruments which encourage ‘education for all’, ODL institutions have made provision for sign language interpreters (SLIs) to facilitate participation for deaf students. Although, some studies have examined issues of virtual learning and the ODL programme; a paucity of studies assessing virtual sign language interpretation (VSLI) in remote educational activities is evident. Therefore, a research study was instituted to probe into perceived enablers and or constraints of providing VSLI during the Covid-19 lockdown in Nigeria. Based on the Job Demand Resources Model, two research questions were raised and answered in this paper. This study adopted the qualitative research design and seven SLIs who had participated in virtual teaching and learning activities during the lockdown were purposively selected to participate in the study. Semi-structured interviews were used for data collection, and the data collected were coded and analysed thematically through using an iterative process. Government policies and the empathetic nature of SLIs were found to be enablers of VSLI, while four themes, namely epileptic power supply; internet connectivity; lack of institutional support and the comprehensibility of deaf students who attended remote lectures were found to serve as barriers to effective and efficient VSLI. Based on the findings, appropriate recommendations were made.

Comparative Analysis of Educational Resource Management Models

The aim of this research is a comparative analysis of educational resource management models. Educational resource management Refers to the context and factors that influence how educational resources are managed and utilized to achieve set educational goals. In its application, the educational resource model involves evaluating and comparing various approaches, methods or strategies in management, development and utilization of resources to achieve educational goals. The education system in Indonesia has formal, non-formal and informal education systems, and existing educational support must be able to provide adequate educational resources. In writing this article, the library study or library research approach is used, where the researcher collects research-related materials from books, magazines, scientific works, literature, mass media reports, etc., then describes and explains the data.