Conceptual Model Research Articles

End-of-life conversations for the older person: A concept analysis.

The aim of this concept analysis is to seek clarity as to what end-of-life conversations involve by developing a clear working definition and using model cases to conceptualise the defining attributes of an end-of-life conversations with the older person. Walker and Avant's eight step approach to Concept Analysis. Four databases were searched, including PubMed, CINAHL, PsycINFO, and Scopus. A total of 339 publications were identified with 30 papers meeting the inclusion criteria and put forward for the final conceptual analysis. The defining attributes associated with end-of life conversations included (1) an ongoing process of older person empowerment, (2) discussion's concerning values and preferences concerning end-of-life issues, and (3) maintaining an open dialogue between all concerned individuals. Antecedents were associated with the older person is their readiness to talk openly about death and dying. Consequences were identified as having a better understanding of what death and dying may mean to the older person in a more specific manner. End-of-life conversations are vital in understanding an individual's values and preferences at the end of life, and yet, the concept of the end-of-life conversation has not been well defined in the literature. End-of-life conversations with the older person encompass ongoing discussions and maintaining open dialogue around end-of-life care while developing strategies to promote individual empowerment in making informed choices. Using a conceptual model, aides in addressing aspects of end-of-life conversations and an acknowledgment of the dynamic process of end-of-life conversations.

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Topicality. Multiple studies have confirmed the significance of physical activity for the health of children and adolescents. However, in the majority of young individuals, their level of physical activity is insufficient. The aim of this article is to draw on the extensive experience of the Children’s Physical Activity Research Group (CPARG) team to develop a set of recommendations on promoting physical activity in children and youth. Methods of the research. The CPARG has applied public health research methods to the study of physical activity, that could be used to promote children’s physical activity at the population level. Results of the work and the key conclusions. A conceptual model for a set of recommendations regarding physical activity for children and youth has been developed, based on research and experience from CPARG, and divided into five categories. Two recommendations focus on persuading, prompting, and praising children and youth for engaging in physical activity at the individual and societal levels. Two recommendations emphasize the importance of providing places where children can engage in safe structured (programs), unstructured (play), and transportation physical activity, and one additional recommendation in the play, programs, participation & pleasure category stresses the importance of structuring these opportunities to facilitate fun, engagement, and enjoyment for children of all ages and abilities. Two recommendations address the need for enacting and enforcing practices and policies to promote physical activity at the local to national levels. Finally, three recommendations build toward the goal of engaging in behaviors at the individual to societal levels to convey physical activity as the normative pattern, communicating that physical activity is what we do.

Development of a new health-related quality of life measure for people with diabetes who experience hypoglycaemia: the Hypo-RESOLVE QoL.

Valid and reliable patient-reported outcome measures are vital for assessing disease impact, responsiveness to healthcare and the cost-effectiveness of interventions. A recent review has questioned the ability of existing measures to assess hypoglycaemia-related impacts on health-related quality of life for people with diabetes. This mixed-methods project was designed to produce a novel health-related quality of life patient-reported outcome measure in hypoglycaemia: the Hypo-RESOLVE QoL. Three studies were conducted with people with diabetes who experience hypoglycaemia. In Stage 1, a comprehensive health-related quality of life framework for hypoglycaemia was elicited from semi-structured interviews (N=31). In Stage 2, the content validity and acceptability of draft measure content were tested via three waves of cognitive debriefing interviews (N=70 people with diabetes; N=14 clinicians). In Stage 3, revised measure content was administered alongside existing generic and diabetes-related measures in a large cross-sectional observational survey to assess psychometric performance (N=1246). The final measure was developed using multiple evidence sources, incorporating stakeholder engagement. A novel conceptual model of hypoglycaemia-related health-related quality of life was generated, featuring 19 themes, organised by physical, social and psychological aspects. From a draft version of 76 items, a final 14-item measure was produced with satisfactory structural (χ2=472.27, df=74, p<0.001; comparative fit index =0.943; root mean square error of approximation =0.069) and convergent validity with related constructs (r=0.46-0.59), internal consistency (α=0.91) and test-retest reliability (intraclass correlation coefficient =0.87). The Hypo-RESOLVE QoL is a rigorously developed patient-reported outcome measure assessing the health-related quality of life impacts of hypoglycaemia. The Hypo-RESOLVE QoL has demonstrable validity and reliability and has value for use in clinical decision-making and as a clinical trial endpoint. All data generated or analysed during this study are included in the published article and its online supplementary files ( https://doi.org/10.15131/shef. 23295284.v2 ).

Safety Participation on Industrial Company: Emphasize Safety Leadership and Safety Climate with Safety Knowledge as Mediation

Purpose: This study aims to empirically test how safety participation can be improved through safety leadership, safety climate to foster safety knowledge in employees. Theoretical Framework: This study uses Omnibearing Leadership Theory to link between variables investigated related to the relationship between safety leadership and safety participation. Design/methodology/approach: The population in this study is employees of the production department at PT. X. While the samples involved in this study were 707 samples. Online questionnaire using accidental sampling. The questionnaires collected and included in the criteria amounted to 405 respondents. Finding: The results of the study empirically that safety participation is influenced by safety leadership, safety climate through safety knowledge. Research, Practical &amp; Social Implication: This research has theoretical implications and practical implications. Theoretically, it can be used as reading material by further researchers, as well as expanding research rules related to the topic of employee safety participation in the company. While practically it can be used as company evaluation material related to the research topic. Originality, value: This research is different from other research, especially from the conceptual model used, besides that this research was conducted in a chemical company that implements a safety management system.

STRATEGI PENCEGAHAN POTENSI PELANGGARAN ARMADA PENANGKAPAN IKAN STUDI KASUS PPS NIZAM ZACHMAN JAKARTA

Before fishing surveillance is one of the important surveillances at fishing ports. A case study at PPS Nizam Zachman Jakarta (PPSNZJ) stated that 22.75% of purse seiners use fishing gear and equipment following did not comply with fishing business license (SLO). This research aims to identify potential violations of fishing vessels at before fishing stage after the SLO was issued and the factors that cause these violations to produce a conceptual model for preventing potential violations of fishing fleets. Primary data were collected using open interview. The secondary data were collected from annual report of the Pangkalan PSDKP Jakarta and PPSNZJ fishing port, and previous studies. This research was approached using 4 stages of a soft system methodology (SSM) approach namely identifying unstructured problems, structuring problems, formulating root definitions, and formulating conceptual models. The results of research show that there are six problems in activities before fishing after the SLO was issued. Based on the SSM approach, issuing supervisory regulations after the SLO was required to prevent illegal addition of fishing gear and fishing equipment. This is due to the absence of supervision after the SLO was issued by fisheries inspectors. Keywords: fishing surveillance, fisheries violation, SSM, strategy, PPSNZJ

A Conceptual Model of Individual Clinical Readiness.

Force readiness is a priority among senior leaders across all branches of the Department of Defense. Units that do not achieve readiness benchmarks are considered non-deployable until the unit achieves the requisite benchmarks. Because military units are made up of individuals, the unit cannot be ready if the individuals within the unit are not ready. For medical personnel, this refers to one's ability to competently provide patient care in a deployed setting or their individual clinical readiness (ICR). A review of the literature found no conceptual model of ICR. Other potential concepts, such as individual medical readiness, were identified but used inconsistently. Therefore, the purpose of this article is to define ICR and propose a conceptual model to inform future efforts to achieve ICR and facilitate future study of the concept. Model development occurred using a 3-step theoretical model synthesis process. The process included specification of key concepts, identification of related factors and relationships, and organizing them into an integrated network of ideas. ICR is the clinically oriented service members' (COSM) ability to meet the demands of the militarily relevant, assigned clinical mission. ICR leads to one's "individual clinical performance," a key concept distinct from ICR. To understand ICR, one must account for "individual characteristics," as well as one's "education," "training," and "exposure." ICR and individual clinical performance are influenced by the "quality of exposure" and the "patient care environment." One's "individual clinical performance" also reciprocally influences the patient care environment, as well as the "team's clinical performance." These factors (individual clinical performance, team clinical performance, and the patient care environment) influence "patient outcomes." In the proposed model, patient outcomes are an indirect result of ICR and its antecedents (personal characteristics, education, training, and exposure); one's individual clinical performance may not be consistent with their ICR. Patient outcomes are also influenced by the "patient environment" (external to the health care environment) and "patient characteristics"; these elements of the model do not influence ICR or individual clinical performance. Force readiness is a Department of Defense priority. In order for military units to be deployment ready, so too must their personnel be deployment ready. For COSMs, this includes one's ability to competently provide patient care in a deployed setting or their ICR. This article defines ICR, as well as identifies another key concept and other factors associated with ICR. The proposed model is a tool for military medical leaders to communicate with and influence non-medical military leaders in the Department of Defense. Future research is needed to further refine the proposed model, determine the strength of the proposed relationships, and identify interventions to improve ICR.

Pāhoehoe lava emplacement in Lon Reudle, Mull

The base of the Mull Lava Sequence, part of the Paleogene British Igneous Province, contains a variety of volcanic features; for example, small-scale filled lava tubes and toes that can be interpreted as large-scale inflated sheets from pāhoehoe lava flows. Here, we re-examine a previously reported unique outcrop found along the coastline of Lon Reudle, Mull, which can be better understood under that conceptual model. The outcrop is composed by multiple layers, with repeating porphyritic, poorly columnar jointed and vesicle-free layers, alternating with vesicle-rich layers with individual vesicles measuring up to 1 m. We reinterpret the outcrop as an individual inflated pāhoehoe lobe with an aggregated total thickness of at least 25 m. The estimated thickness of the upper crust of this lobe is 15 m, as the upper crust would account for 40–60% of the total volume of the flow, and the time required for this upper crust to form is c . 4 years. The alternation between vesicle-rich and vesicle-free layers is likely to be caused by instabilities of the suspended bubbles in the basaltic melt, forming a diapir with abundant evidence of bubble coalescence. Typical Hawaiian pāhoehoe lava flows have thickness of 1–3 m, whereas in other flood basalt provinces thickness can reach 75–80 m, suggesting that pāhoehoe structures are scale-independent. This is a key factor to take into account when reinterpreting other lava structures that have been found in the Paleogene British Igneous Province.

Quantification of Expert Knowledge in Describing COLREGs Linguistic Variables

The International Regulations for Preventing Collisions at Sea 1972 (COLREGs) have been the cornerstone of maritime navigation since their introduction. Knowledge and implementation of these rules are paramount in collision avoidance at sea. However, terms found in these rules are sometimes imprecise or fuzzy, as they are written by humans for humans, giving them some freedom in interpretation. The term Very Large Ship used in Rule 7 of the COLREGs is, by its nature, fuzzy. While human navigators understand this term’s meaning, it could be challenging for machines or autonomous ships to understand such an unprecise expression. Fuzzy sets could easily describe unprecise terms used in maritime navigation. A fuzzy set consists of elements with degrees of membership in a set, making them perfect for interpreting some terms where boundaries are unclear. This research was conducted among 220 navigational experts to describe linguistic variables used in maritime regulations. This research consists of an internationally distributed questionnaire. Membership data were collected with the adapted horizontal method, and the results were statistically analyzed, followed by regression analyses to describe the range and shape of membership functions. A conceptual model of the implementation of linguistic variables is presented. The novelty of this study derives from the data collecting, modeling, and quantification of the important but neglected linguistic term Very Large Ship based on a large number of navigational experts. The same quantification method could be easily used for other COLREGs linguistic variables, which could easily lift barriers to advances in intelligent solutions based on fuzzy sets. The obtained quantified fuzzy sets can be used in decision support or control systems used by conventional or autonomous ships in the future.

Engaging in co-creation experiences: the role of affective image and satisfaction

PurposeThis study proposes a conceptual model and aims (1) to understand how co-creation experience influences guest engagement, (2) to analyse the effect of satisfaction and affective image between co-creation experience and guest engagement, and (3) to analyse the effect of guest engagement on behavioural intentions.Design/methodology/approachA questionnaire-based online survey was conducted targeting U.S.-based hotel customers. Developed on Qualtrics and distributed via Mechanical Turk, the survey garnered 465 useable responses from individuals who had visited international chain hotels within the last year. Data analysis was performed using Structural Equation Modelling (SEM) in IBM SPSS Amos.FindingsThe findings revealed significant direct effects of co-creation experience on affective image and guest satisfaction, with guest satisfaction notably influencing guest engagement, and guest engagement directly influencing behavioural intention. However, both co-creation experience and affective image showed minimal direct impact on guest engagement. The study also highlighted the importance of indirect effects and total effects in understanding the dynamics between the constructs analysed.Research limitations/implicationsThe findings revealed significant direct effects of co-creation experience on affective image, with affective image notably influencing guest engagement, and guest engagement directly influencing behavioural intention. Although satisfaction had direct effects on guest engagement, co-creation experience showed minimal direct impact on guest satisfaction and on guest engagement.Practical implicationsThis study advises managers to use co-creation primarily to enrich guest experiences and establish emotional connections rather than as a tool for directly enhancing engagement. It recommends that managers invest in strategies to enhance guest engagement beyond co-creation given the direct link between guest engagement and behavioural intentions, and the minimal direct impact between co-creation, guest engagement and satisfaction.Originality/valueThis study demonstrates that affective image is a pivotal mediator between co-creation experience and guest engagement. The findings provide valuable implications for hospitality practitioners in designing and managing co-creation experiences, emphasizing the importance of fostering a positive affective image in the value co-creation process to attain positive behavioural outcomes.

Does service quality matter in FinTech payment services? An integrated SERVQUAL and TAM approach

As the number of FinTech start-ups continues to rise globally, the utilization of these services by users becomes increasingly crucial, especially considering potential risks. Various factors affect users' utilization of financial technology, with the quality of services offered by FinTech providers standing out as a significant consideration. The aim of this study is to investigate the relationship between the quality of services offered by FinTech payment platforms and the utilization of FinTech services. We develop a novel conceptual model integrating elements from SERVQUAL and TAM (the Technology Acceptance Model) to investigate these dynamics. To gain a comprehensive understanding, we employed a mixed methods research approach. This approach included a quantitative survey analyzed using a partial least squares structural equation model (PLS-SEM) to examine the proposed framework and the relationships between its constructs. Following the survey, a follow-up focus group discussion with industry experts and academics was conducted to delve deeper into the findings and explore the "why" behind the statistical relationships. The findings reveal a significant impact of the quality of services offered by FinTech payment service providers on the utilization of such services. It demonstrates that in the FinTech sector, perceived usefulness does not always dominate perceived ease of use. Moreover, it confirms the profound influence of perceived usefulness in shaping attitudes and subsequent behaviour related to technology use. These insights contribute to an enhanced understanding of the factors driving the utilization of FinTech services.

Modeling college faculty users’ potential acceptance of library data services for research and teaching

Purpose The increasingly active data practice in academic environments makes investigating college faculty users’ potential needs for library data services (LDS) essential. Guided by a conceptual framework rooted in the data lifecycle and the extended technology acceptance model, this study aims to investigate the relationship between faculty’s data engagement (DE) and their attitudes toward multiaspect LDS. Design/methodology/approach An online survey at a master’s college was conducted to collect data regarding faculty data practice, potential needs for data services (DS) and attitudes toward multiaspect LDS. Based on 139 complete and valid responses, the study built three conceptual models to demonstrate faculty users’ potential acceptance of LDS for research and teaching. Findings Participants’ research and teaching-related DE and background factors directly or indirectly affect their attitudes toward general DS, an institutional data repository if available and repository-based data curation. Originality/value The study contributes to DS and librarianship research by offering three conceptual models to explore LDS’ holistic support for faculty research and teaching. Moreover, the study provides insights into faculty’s job-related DE factors and calls for future research on effective DS in more college communities.

Research on temporal diversity in GVTs: limitations and a new research agenda

AbstractIn addition to cultural and demographic diversity, temporal diversity is increasingly recognized as a crucial factor affecting the dynamics and performance of global virtual teams (GVTs). However, research on temporal diversity tends to analyze the effects of only one source of timing differences at a time: either only time-zone differences or only chronotype differences among the team members. Such a single-focus approach is limiting, and could lead to biased conclusions. We provide a conceptual model that shows how analyzing only one source of temporal diversity at a time can produce an incomplete and even misleading picture. Based on the analysis of different temporal activation patternings, namely the arrangements of timing when team members can fully engage in project-related tasks, we demonstrate how the interplay between time zones and chronotypes can exacerbate or mitigate temporal diversity, resulting in temporal patterns that could be more or less advantageous for a GVT, depending on the team characteristics and nature of its task. We discuss the implications of failing to simultaneously consider both sources of temporal differences when analyzing timing differences among GVT members and provide a guide for future research and practice for handling the issue of temporal diversity more effectively.

Managerial taboos: How the ideal of a manager may harm people and organizations

This conceptual paper explores the seldom-discussed "unspoken rules" or managerial taboos that are often part of a manager's career but are rarely acknowledged openly. These sensitive issues can trigger feelings of guilt, shame, or self-doubt, creating tension between a manager's real identity and the idealized image of an "ideal manager." We propose a conceptual model that links this identity conflict to adverse outcomes, such as decreased productivity and compromised mental and physical health. We argue that the idealized identity is facilitated by several processes in broader management education and learning processes: idealized management skills taught in business schools, popular literature that defines what a "good manager" should be, and high expectations from stakeholders, colleagues, and employees. We recommend transforming management education and training because confronting these managerial taboo topics head-on is necessary to help managers become more resilient and effective and improve their overall well-being.

Ship-from-store omnichannel using a 4pl digital platform

Goal: This research aimed to simulate a ship-from-store operation process from an omnichannel retailer. Based on this we proposed a conceptual model orchestrated through a 4PL. Through the results evaluated by performance indicators in the simulation, computational results of using the approach in a real case can be added to decision-making and the literature. Design / Methodology / Approach: This paper comprises the collection of sales and logistics data from a retailer for developing a computer simulation using R programming language, so that the ship-from-store strategy is evaluated. Data from an omnichannel retailer supported the development of two scenarios: the first represent retailer's current praxis; in the second, the logistics orchestration model is applied. The analysis considers two performance indicators: freight price and freight time. Results: The results demonstrate that after adopting the ship-from-store strategy the omnichannel retailer can reduce the freight price by up to 60%. Regarding the delivery time, a reduction of up to 8 days is envisioned. These reductions positively impact the customer experience in the online channel, increasing its attractiveness. Limitations of the investigation: The limitations of the research are based on a logistics orchestration model for a retailer that is omnichannel and has several stores within its national territory with stock. This stock is sufficient to implement a ship-from-store process in this retailer. Practical implications: This retailer, by applying the method, is able to achieve better customer rewards. In the same way, it manages to make the online channel more attractive at the lowest cost and in the shortest time. This retailer is also able to use new technological resources through a 4PL. This serves as a technological tool for the logistics orchestration operation. Originality / Value: An original computer simulation for a 4PL digital platform orchestrating the ship-from-store strategy in omnichannel retailing is presented.

The Effects of Brand-self Connection on the Willingness to Pay a Price Premium: A New Look at the Consumerbrand Relationship in the Chinese Luxury Market

Exploring brand-self connection as a tool for driving profitability is gaining traction among scholars and industry professionals. This study introduces and validates a conceptual model aimed at discerning the influence of brand-self connection on luxury consumers willingness to pay (WTP) a price premium. Based on survey data from 270 Chinese luxury consumers and analysis via SPSS 27.0, the results reveal that brand-self connection not only directly augments consumers WTP a price premium but also exerts an indirect influence through the mediating roles of brand experience and brand loyalty. Interestingly, though brand-related social media engagement emerges as a moderating factor in this relationship, its impact remains marginal within the luxury market context. Together, these findings illuminate the complex nuances of luxury consumer behavior, enriching brand management, consumer-brand relationships, and pricing strategy. Practitioners can harness these insights for strategic decision-making in the luxury market arena.

Disentangling composite influences of social connectivity and system interactivity on continuance intention in mobile short video applications: The pivotal moderation of user-perceived benefits

The expeditious proliferation of wireless network technology has caused the widespread integration of mobile short video apps into our daily routines, offering unprecedented opportunities for information dissemination and interactive communication. Despite extensive researches on the interactivity of mobile short video app, there has been a limited focus on understanding the underlying factors that contribute to users' perceived benefits and continuance intention. Leveraging insights from preceding studies, this study develops a conceptual research model that investigates how two distinct facets of interactivity, namely social interactivity and system interactivity, influence users' perceived benefits from mobile short video apps, ultimately impacting their intention to continue using them. This analysis rigorously scrutinizes data garnered from 808 users of mobile short video applications, employing structural equation modeling to validate the proposed hypotheses. The findings conclusively reveal that interactivity significantly affects users’ perceived benefits from mobile short video apps. Moreover, the study elucidates that perceived benefits from these apps are the significant predictors of continuance intention. Furthermore, interactivity could indirectly influence continuance intention via the mediation of perceived benefits. These findings possess the potential not only to augment our comprehension of perceived benefits and continuance intention from the interactivity perspective but also to furnish valuable insights for scholars in the field. The research sheds light on effective methodologies to encourage the adoption of mobile short video applications and to boost user engagement in a society oversaturated with mobile technology.

External representations in strategic decision‐making: Understanding strategy's reliance on visuals

AbstractResearch SummaryExternal representations, particularly visuals, are important in strategic decision‐making. However, their pervasiveness and impact are not well understood in the strategy literature. Based on cognitive science research, we identify four cognitive functions crucial to strategic decision‐making that benefit from using external representations. We also propose a conceptual model and propositions that explain how the quality of strategic decision‐making depends on the interactions among task environment, external representations, and managers. We show that external representations influence in predictable ways the boundedly rational process of searching for new strategies. Key determinants include the manager's representational capability and the usability and malleability of the external representation. We discuss implications for users, designers, and teachers of external representations in strategy, as well as suggest avenues for future research.Managerial SummaryThis research points to the pivotal role of external representations, especially visuals, in strategic decision‐making. Drawing from cognitive science, this study identifies four critical cognitive functions that benefit from these external representations—working memory, long‐term memory, pattern recognition, and knowledge transfer. Further, the study highlights that external representations significantly influence the process of strategic decision‐making in predictable ways. Finally, we show that not all external representations are alike in their ease of use and a managers' ability to operate on an external representation, referred to as representational capability, greatly affects the decision‐making quality. The implications extend to users, designers, and educators of external representations, urging attention to the design and use of external representations for improved decision outcomes.

Correlation between sustainability and smartness indicators in Brazilian cities: insights from the 5SenSu model

To face the growing challenges of urbanization, urban management models grounded in the principles of sustainability and smart cities are being proposed. Despite their acknowledged importance, these models are often misunderstood or improperly applied due to a lack of thorough conceptualization, and they are frequently viewed as interchangeable. The aim of this study is to verify whether a correlation exists between indicators of sustainability and smartness in cities. For a sample of 130 Brazilian cities, their Sustainability Synthetic Indicator of System (SSIS) was computed using the Five-Sector Sustainability Model (5SenSu) and data sourced from the ‘Mandala ODS’ framework. Data concerning smart city were directly sourced from the ‘Connected Smart Cities’ framework. Results show that the 5SenSu model emerges as an alternative multicriteria method, epistemologically grounded in a conceptual model capable of quantifying the sustainability of cities. This approach enables quantitative diagnostics, rankings, and benchmarks, providing information to support decision-making processes. Moreover, the correlation analyses employed reveal a moderate linear correlation (Pearson coefficient of −0.61) and a moderate rank-order correlation (Spearman coefficient of −0.59) between sustainability and smartness. Hence, it would be premature to assume that a city deemed smart would automatically be sustainable, or vice versa. Acknowledging the existing limitations, this study contributes to discussions on the conceptual understanding and quantification through indicators of sustainable and smart cities, providing information for shaping effective public policies aimed at fostering more sustainable urban environments.

Assessing rainfall-runoff models for climate change: simple and differential split-sample tests for conceptual and artificial intelligence models

ABSTRACT In this study, the performance of two popular conceptual models, a classic artificial intelligence (AI) model, and a deep learning model is compared using simple and differential split-sample tests (SSST and DSST). Finally, the two conceptual models and the classic AI model are combined employing a model ensemble technique. The SSST and DSST schemes confirmed the ability of both types of models (conceptual and AI) to capture the hydrological response to rainfall events, although the conceptual models showed a better performance in the DSST scheme. The ensemble technique enhanced the modelling performance up to 22% and 35% in the calibration and verification steps. This study highlights the importance of applying DSST using existing data to build further confidence in model projections, and suggests that the use of model ensemble techniques combining conceptual and AI models can enhance the performance of rainfall-runoff modelling in the context of climate change.

Factors Affecting the Resilience of Nurses in the COVID-19 Crisis: A Mixed Method Study from West of Iran

Background: The widespread outbreak of the COVID-19 virus has resulted in an increase in hospitalizations and mortality in healthcare centers, directly affecting healthcare personnel, especially nurses. Resilience stands for one of the key non-cognitive skills that can ensure nurses’ optimal performance during crises. Hence, the present research was aimed at identifying the status of factors affecting resilience among nurses involved in the COVID-19 crisis at Shohada Hospital in Dehloran (Iran). Methods: This mixed-method study (qualitative-quantitative) was conducted in 2021 (Solar year 1400). Respectively in qualitative and quantitative parts, the research sample consisted of 18 academic members and executive managers in the healthcare sector and 118 nurses at Shahid Dehloran Hospital in Ilam province (Iran). Data collection was performed using semi-structured interviews and questionnaires. Qualitative data analysis was conducted using MAXQDA2020 software, and quantitative data analysis was performed using confirmatory factor analysis, AMOS 26, and SPSS 26. Results: The factors influencing the resilience of nurses were categorized into three main themes: personal factors (motivation, stress, personal life, Becoming obsessed, balance in personal life, resilience in personal life challenges), organizational factors (mental and psychological health, organizational leaders’ responsiveness), and environmental factors (lack of cooperation, lack of facilities and equipment). According to the results, among personal factors, motivation (R=0.88), among organizational factors, mental and psychological health (R=0.83), and among environmental factors, the lack of facilities has the most significant effect on nurses’ resilience (R=0.75). Conclusion: The findings highlight the considerable and significant impact of personal, organizational, and environmental factors on enhancing nurses’ resilience. Based on the research results, the proposed conceptual model can serve as a suitable mechanism for hospital managers to enhance the healthcare staff’s resilience.