Journal of Health Organization and Management最新文献

{"title":"Artificial intelligence's impact on oral healthcare in terms of clinical outcomes: a bibliometric analysis.","authors":"Faten AlQaifi, Dilaver Tengilimoglu, Ilknur Arslan Aras","doi":"10.1108/JHOM-06-2024-0233","DOIUrl":"https://doi.org/10.1108/JHOM-06-2024-0233","url":null,"abstract":"<p><strong>Purpose: </strong>This study provides a comprehensive overview of the impact of artificial intelligence (AI) applications on oral healthcare, focusing on clinical outcomes.</p><p><strong>Design/methodology/approach: </strong>A systematic approach was used to gather articles from databases such as Scopus, ScienceDirect, PubMed, Web of Science and Google Scholar from 2010 to 2024. The selection criteria included articles published in English, focusing solely on clinical applications of AI in dentistry. Articles such as conference proceedings, editorial material and personal opinions were excluded. The articles were analyzed and visualized using Rayyan software, Microsoft Excel and VOSviewer.</p><p><strong>Findings: </strong>Results indicate that 120 publications were authored by 58 scholars from 92 institutions across 29 countries, with a notable surge since 2018. This analysis showed the significant emphasis on the use of deep learning, demonstrating its high accuracy and performance in oral healthcare, often exceeding that of dentists. It also proved that even though AI is sometimes seen as an auxiliary tool, many studies revealed that AI has a performance near dental professionals' levels. Findings concluded that the majority of studies indicate that AI is generating better clinical outcomes in oral healthcare.</p><p><strong>Practical implications: </strong>This study provides dental professionals with insights on integrating AI for better diagnosis and treatment. Policymakers and healthcare institutions can use these findings to inform AI adoption and training strategies.</p><p><strong>Originality/value: </strong>It presents novel and valuable findings that can benefit various stakeholders by shedding light on the present scenario and potential future paths of AI integration in oral healthcare, contributing to its overall advancement.</p>","PeriodicalId":47447,"journal":{"name":"Journal of Health Organization and Management","volume":"40 6","pages":"1107-1124"},"PeriodicalIF":2.4,"publicationDate":"2026-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148876335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving insurance deduction identification: a hybrid artificial intelligence model using machine learning and expert systems.","authors":"Raheleh Maleki, Marita Mohammadshahi, Efat Mohamadi, Hojjat Rahmani, Alireza Atashi, Ebrahim Jaafaripooyan, Mohammadreza Mobinizadeh","doi":"10.1108/JHOM-06-2025-0308","DOIUrl":"10.1108/JHOM-06-2025-0308","url":null,"abstract":"<p><strong>Purpose: </strong>Financial challenges in healthcare systems worldwide, especially in low- and middle-income countries like Iran, have increased hospitals' reliance on insurance reimbursements. Unrecognized insurance deductions often cause severe financial shortages, making efficient deduction management crucial. This study aimed to design a hybrid intelligent system for identifying and predicting insurance deductions by combining machine learning and expert system frameworks.</p><p><strong>Design/methodology/approach: </strong>A mixed-methods design was applied in four stages. First, a scoping review identified the causes and patterns of insurance deductions. Second, interviews with 15 insurance experts produced a validated checklist and a dataset from inpatient billing records. Third, using the CRISP-DM methodology, machine learning algorithms were developed and tested in SPSS Modeler alongside a fuzzy expert system developed in MATLAB. Finally, the model was validated using the holdout method.</p><p><strong>Findings: </strong>Four categories of deduction drivers were identified: service provision, registration errors, document submission issues, and revenue conversion processes. The CHAID decision tree outperformed other algorithms with a 99% precision rate and the lowest Mean Absolute Error (9.43). A brief assessment of potential overfitting was conducted to ensure that the CHAID model's high accuracy was interpreted cautiously and supported by the validation results. The fuzzy expert system with validated rules was adaptable for deduction classification, especially for cases unsuitable for quantitative modeling.</p><p><strong>Originality/value: </strong>The hybrid model improves detection and prevention of deductions, offering actionable insights for hospital administrators, insurers, and policymakers. Its implementation can enhance hospital information systems, streamline claims processing, and optimize revenue management amid financial constraints.</p>","PeriodicalId":47447,"journal":{"name":"Journal of Health Organization and Management","volume":" ","pages":"1209-1225"},"PeriodicalIF":2.4,"publicationDate":"2026-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybridisation among hospital managers: the association between the use of control systems and healthcare management.","authors":"Damián Encalada-Avila, David Naranjo-Gil","doi":"10.1108/JHOM-05-2026-0585","DOIUrl":"https://doi.org/10.1108/JHOM-05-2026-0585","url":null,"abstract":"<p><strong>Purpose: </strong>Drawing on New Public Management this study examines whether senior hospital managers' professional training profiles are associated with their use of management control systems in public hospitals. It examines whether medically trained, managerially trained and hybrid clinical-managerial executives differ in their use of Simons's four levers of control - belief, interactive, diagnostic, and boundary systems - and how these levers relate to care-related and managerial objectives.</p><p><strong>Design/methodology/approach: </strong>A cross-sectional survey of 58 senior managers in Ecuadorian public hospitals covered 50.4% of the hospitals registered with the Ministry of Public Health at the time of data collection. The hypotheses were tested using partial least squares structural equation modelling (PLS-SEM). The analysis assessed measurement reliability and validity, effect sizes and out-of-sample predictive performance. Given the moderate sample size and single-source design, the findings are interpreted as exploratory.</p><p><strong>Findings: </strong>Medical training was associated with greater use of belief and interactive systems and with less use of diagnostic and boundary systems. Hybrid clinical-managerial training was associated with the use of all four levers. Belief and interactive systems were positively associated with care-related objectives, whereas diagnostic and boundary systems were positively associated with managerial objectives.</p><p><strong>Originality/value: </strong>The study links professionalism, management control systems, and public-sector healthcare in an under-researched Latin American setting. It shows how hybrid training may support a broader repertoire of control practices in centralised, resource-constrained public hospitals.</p>","PeriodicalId":47447,"journal":{"name":"Journal of Health Organization and Management","volume":" ","pages":"1-18"},"PeriodicalIF":2.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148867175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The link between negative workplace gossip and employee creativity in healthcare organizations - a moderated mediation model.","authors":"Hany M Galal, Rania M El Morsy","doi":"10.1108/JHOM-11-2025-0802","DOIUrl":"https://doi.org/10.1108/JHOM-11-2025-0802","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to investigate how negative workplace gossip (NWG), defined as informal and critical talk about absent colleagues, reduces employee creativity in healthcare organizations. Drawing on social cognitive theory (SCT) and self-determination theory (SDT), the study examines how proactive personality (PP), a stable tendency to initiate change, and organization-based self-esteem (OBSE), employees' context-specific sense of value and competence, function as protective psychological resources. Specifically, these resources mitigate the negative impact of NWG on employee creativity by helping preserve employees' intrinsic motivation and self-efficacy.</p><p><strong>Design/methodology/approach: </strong>A three-wave, multi-source design surveyed 350 healthcare employees and their supervisors in Egyptian hospitals. NWG and PP were measured at Time 1, OBSE at Time 2 and supervisor-rated creativity at Time 3 to minimize common method bias.</p><p><strong>Findings: </strong>NWG significantly reduces employee creativity through lower OBSE, employees' context-specific sense of value and competence. Moderated mediation analysis further shows that a high PP, a stable tendency to initiate change, weakens this indirect effect. Practically, employees with stronger proactive traits are better able to maintain their sense of self-worth and sustain creativity despite negative interpersonal dynamics in the workplace.</p><p><strong>Originality/value: </strong>This research provides rare empirical evidence from a non-Western healthcare context. It extends SCT and SDT by demonstrating that employee creativity in healthcare settings is significantly influenced by workplace social dynamics. The study offers actionable insights for administrators to foster resilient environments by systematically developing proactive capacities and reinforcing employees' OBSE to sustain innovation amidst interpersonal challenges, thereby enhancing organizational effectiveness and patient care quality.</p>","PeriodicalId":47447,"journal":{"name":"Journal of Health Organization and Management","volume":" ","pages":"1-21"},"PeriodicalIF":2.4,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148841720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hospital work environment and perceived workforce productivity: a structure-process-outcome perspective from Thailand's healthcare sector.","authors":"Zulfiqar Ali Jumani, Tachaya Sangkakool, Ruengrumpa Intaraksa, Chila Kaewpraek, Thitika Kaewsomwong","doi":"10.1108/JHOM-01-2026-0077","DOIUrl":"https://doi.org/10.1108/JHOM-01-2026-0077","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Purpose: &lt;/strong&gt;This study examines how hospital environmental conditions influence perceived workforce productivity through the mediating roles of organizational support and job satisfaction. Grounded in Donabedian's structure-process-outcome (SPO) framework and informed by motivational theory, the study conceptualizes productivity as an organizational outcome shaped by structural and psychosocial processes rather than as a purely technical measure.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Design/methodology/approach: &lt;/strong&gt;A quantitative, cross-sectional survey was conducted with 379 healthcare employees working primarily in public hospitals in Thailand. Partial least squares structural equation modeling (PLS-SEM) was used to estimate direct and indirect relationships among hospital environment, organizational support, job satisfaction, and perceived productivity. To assess out-of-sample performance, PLS-Predict and the cross-validated predictive ability test (CVPAT) were employed as complementary diagnostic tools.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Findings: &lt;/strong&gt;The results show that a supportive hospital environment is positively associated with perceived productivity, both directly and indirectly via organizational support and job satisfaction. Predictive assessment indicates moderate-to-strong predictive adequacy (Q2_predict = 0.62-0.74), with model performance comparable to linear benchmarks and consistently superior to naïve indicator-average models. The findings highlight the value of integrating structural and motivational perspectives to inform evidence-based organizational decision-making in healthcare settings.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Originality/value: &lt;/strong&gt;This study contributes to healthcare workforce research in four ways. First, it reframes productivity as an organizational outcome emerging from structural and psychosocial conditions rather than as an individual or technical metric. Second, it integrates Donabedian's SPO framework with Herzberg's two-factor theory to provide a multi-level explanation of workforce performance. Third, it provides empirical evidence from Thailand's public hospital system, an underexplored context in healthcare management research. Fourth, it extends prior explanatory studies by incorporating PLS-Predict and CVPAT to assess out-of-sample predictive validity, enhancing the model's practical relevance for managerial decision-making. Graphical abstract An illustration of a hospital environment's impact on workforce productivity. The illustration depicts a framework for evidence-based decision-making in hospital environments. It shows how physical and technological structures, such as ergonomic design, ventilation, noise control, rest facilities, and technological resources, influence staff productivity. The human connection section highlights job satisfaction and organizational support as key drivers of motivation. Job satisfaction is influenced by work-life balance, morale, teamwork, and fair compensation, while organizational suppor","PeriodicalId":47447,"journal":{"name":"Journal of Health Organization and Management","volume":" ","pages":"1-28"},"PeriodicalIF":2.4,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Managing the hidden burden: psychological safety as a strategic buffer between nurse mental workload and somatization.","authors":"Fatma Demirkaya, Demet Yurtsever, Merve Murat Mehmed Ali, Merve Saritaş, Elvan Emine Ata","doi":"10.1108/JHOM-01-2026-0061","DOIUrl":"https://doi.org/10.1108/JHOM-01-2026-0061","url":null,"abstract":"<p><strong>Purpose: </strong>This study examines the relationship between mental workload and somatization symptoms in nurses, focusing on the role of psychological safety as a mediating factor and investigates the role of psychological safety as a strategic resource in mitigating the negative physiological consequences of high cognitive demands in hospital management.</p><p><strong>Design/methodology/approach: </strong>The study employed a cross-sectional, correlational research design. Data were collected from 422 nurses working at a public training and research hospital in Istanbul, Türkiye. The Mental Workload Scale, Psychological Safety Scale, and Somatization Scale were used in the study. Theoretical relationships were tested using the Job Demands-Resources (JD-R) framework and analyzed using Hayes' PROCESS macro (Model 4) with 5.000 bootstrap resamples.</p><p><strong>Findings: </strong>The results indicate that mental workload is a significant organizational stress factor positively associated with somatization. Psychological safety was found to statistically account for part of this relationship. Consistent with the JD-R framework, psychological safety appears to function as a resource associated with a weaker statistical association between mental workload and somatic tension.</p><p><strong>Originality/value: </strong>This study contributes to the JD-R literature in two ways: Firstly, it focuses on somatization, a health outcome that has received limited attention in the field of nursing. Secondly, it empirically examines the mediating role of psychological safety in the process by which high mental workload is transformed into somatic symptoms.</p>","PeriodicalId":47447,"journal":{"name":"Journal of Health Organization and Management","volume":" ","pages":"1-17"},"PeriodicalIF":2.4,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148819844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital transformation on patient experience and engagement: patient-centered strategy and the role of leadership support for innovation in Ugandan health facilities.","authors":"Hannington Businge, James Kaconco, Jennifer Rose Aduwo","doi":"10.1108/JHOM-02-2026-0248","DOIUrl":"https://doi.org/10.1108/JHOM-02-2026-0248","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Purpose: &lt;/strong&gt;This study examines how managerial perception of digital transformation (DT), patient-centered strategy (PCS) and leadership support for innovation (LSUP) relate to patient experience and engagement (PXE) in Ugandan health facilities.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Design/methodology/approach: &lt;/strong&gt;Drawing on the Technology-Organization-Environment (TOE) framework and Dynamic Capabilities Theory (DCT), the study adopts a mixed-methods design. Quantitative data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) for managerially perceived patient-centered outcomes, complemented by qualitative interviews from managers and patients to contextualize and explain the statistical relationships.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Findings: &lt;/strong&gt;The results show that the direct effect of digital transformation on patient experience and engagement is not statistically significant (β = 0.207, p = 0.078). There is a strong, statistically significant effect of digital transformation on patient-centered strategy (β = 0.600, p &lt; 0.001). Patient-centered strategy positively and significantly affects patient experience and engagement (β = 0.306, p = 0.046). Patient-centered strategy plays a meaningful mediating role in the relationship between Digital Transformation and Patient Experience. While leadership support for innovation on patient experience and engagement does not moderate the relationship (ß = 0.112, p = 0.294). Qualitative findings reveal that digital technologies primarily create value by enabling patient-centered care redesign rather than directly shaping patient perceptions.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Research limitations/implications: &lt;/strong&gt;Despite offering valuable insights into the effects of digital transformation, patient-centered strategy and leadership support for innovation on patient experience and engagement in Ugandan health facilities, this study has several limitations. First, the cross-sectional design limits the ability to establish causal relationships, as the structural model identifies associations rather than causal effects; therefore, longitudinal studies are needed to capture the dynamic influence of digital adoption and strategic interventions over time. xD; xA; A limitation is the small, purposively selected sample of 67 senior leaders, which constrains statistical power and generalizability. Although supported by 48 key informant interviews from senior leaders and patients' perspectives were incorporated. Though PLS-SEM accommodates small samples, caution is warranted in hypothesis testing (Hair et al., 2022). Although patient qualitative interviews strengthened contextual understanding and validation of findings, future studies could further enhance measurement precision by incorporating large-scale quantitative patient-reported outcome measures and patient satisfaction surveys directly into the structural model. Nonetheless, such samples are acceptable for exploratory digital health research, but findings","PeriodicalId":47447,"journal":{"name":"Journal of Health Organization and Management","volume":" ","pages":"1-30"},"PeriodicalIF":2.4,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148809411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence-driven transformation in healthcare: the mediating role of technostress in the impact of openness to organizational change and attitude toward AI on innovative behavior.","authors":"Begüm Yalçın","doi":"10.1108/JHOM-03-2026-0376","DOIUrl":"https://doi.org/10.1108/JHOM-03-2026-0376","url":null,"abstract":"<p><strong>Purpose: </strong>The rapid proliferation of artificial intelligence (AI) applications in healthcare is transforming the ways in which employees interact with technology, making it crucial to understand the effects of this process on employee behavior. The purpose of this study is to examine the effects of openness to organizational change and attitudes toward AI on employees' innovative behavior, and to test the mediating role of technostress in these effects.</p><p><strong>Design/methodology/approach: </strong>The research was conducted using a quantitative research design. Data were collected via face-to-face surveys from 305 healthcare workers employed at a university hospital in Istanbul, Türkiye, between January and February 2026 and analyzed using structural equation modeling. SPSS and AMOS software were used to analyze the collected data.</p><p><strong>Findings: </strong>The findings revealed that employees with high levels of openness to organizational change and a positive attitude toward AI experienced lower levels of technostress, and that this, in turn, increased their innovative work behavior. Additionally, it was determined that technostress plays a partial mediating role in the effects of openness to organizational change and a positive attitude toward AI on innovative behavior.</p><p><strong>Research limitations/implications: </strong>In conclusion, it has been demonstrated that employees' perceptions of technology and their openness to change shape innovative behavior through technostress in AI-driven transformation processes.</p><p><strong>Originality/value: </strong>This study contributes to the literature by integrating digital transformation, organizational behavior, and health management; it also provides practical implications highlighting the importance of employee-centered digital transformation strategies for healthcare organizations and policymakers.</p>","PeriodicalId":47447,"journal":{"name":"Journal of Health Organization and Management","volume":" ","pages":"1-15"},"PeriodicalIF":2.4,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148799577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From boredom to banditry: how abusive supervision amplifies the negative affect-time banditry relationship.","authors":"Yussif Mohammed Alhassan, Bawa Mohammed, Issah Iddrisu","doi":"10.1108/JHOM-02-2026-0223","DOIUrl":"https://doi.org/10.1108/JHOM-02-2026-0223","url":null,"abstract":"<p><strong>Purpose: </strong>This study examines the mediating role of negative affect in the relationship between workplace boredom and time banditry, and tests whether abusive supervision moderates this mediation through a second-stage moderated mediation model.</p><p><strong>Design/methodology/approach: </strong>We employed a three-wave time-lagged design with 611 full-time employees from health sector organizations in Ghana. We measured workplace boredom and abusive supervision at Time 1, negative affect at Time 2 (three weeks later) and time banditry at Time 3 (four weeks after Time 2). We tested the model using Hayes's PROCESS macro Model 14 with 5,000 bootstrap samples.</p><p><strong>Findings: </strong>Results fully supported the hypothesized model. Workplace boredom predicted negative affect (b = 0.36, p < 0.001), which predicted time banditry (b = 0.21, p < 0.001). Abusive supervision significantly, though modestly, moderated the negative affect-time banditry relationship (b = 0.16, p = 0.038). Conditional indirect effects increased from 0.06 under low abusive supervision to 0.09 under high abusive supervision. The index of moderated mediation was significant (0.06, 95% CI [0.01, 0.13]), indicating that abusive supervision amplifies the translation of negative emotions into counterproductive behaviors. Because the interaction was small in magnitude and statistically borderline, this amplification effect should be interpreted with appropriate caution.</p><p><strong>Practical implications: </strong>Organizations should implement integrated interventions addressing both job enrichment to reduce boredom and supervisor training to prevent abusive supervision. Dual interventions targeting both mechanisms simultaneously prove most effective.</p><p><strong>Originality/value: </strong>This study identifies negative affect as the mechanism linking boredom to time banditry and demonstrates that abusive supervision creates synergistic toxicity through behavioral permission rather than affective amplification.</p>","PeriodicalId":47447,"journal":{"name":"Journal of Health Organization and Management","volume":" ","pages":"1-23"},"PeriodicalIF":2.4,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148799542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic resource bundling for wellbeing capability in healthcare organizations: insights from resource-based theory.","authors":"Afshan Rauf, Joshua King Safo Lartey, Shamika Almeida","doi":"10.1108/JHOM-02-2026-0163","DOIUrl":"https://doi.org/10.1108/JHOM-02-2026-0163","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to understand how public healthcare organizations build a sustainable wellbeing capability under resource constraints. It examines how organizational, human, social and temporal resources are bundled, how compassionate leadership translates formal wellbeing intent into everyday practice, and how repeated routines become credible under pressure.</p><p><strong>Design/methodology/approach: </strong>An embedded qualitative case study was conducted in a regional Australian health district comprising eight hospitals. Data were collected between 2019 and 2021 through semi-structured interviews with 51 clinical, managerial, and administrative participants, observations, field notes, and internal documents. Analysis followed an abductive and comparative approach informed by Resource-Based Theory, process theorizing and qualitative case-study principles.</p><p><strong>Findings: </strong>Wellbeing capability emerged not from isolated wellbeing programs but from repeated alignment among HR systems, workforce planning, compassionate leadership and relational routines. Organizational capital mattered when rostering, behavioral expectations and recognition processes were experienced as fair and operationally realistic. Human capital mattered when compassionate leaders noticed strain, practiced gratitude and legitimized reflection. Social capital mattered when debriefing, mentoring and shared problem-solving became routine. Temporality mattered because repeated practices accumulated credibility and were stress-tested during COVID-19 disruption.</p><p><strong>Originality/value: </strong>The paper distinguishes employee wellbeing from organization-level wellbeing capability and extends Resource-Based Theory by showing how resource orchestration works in public healthcare through role-modeling, routine embedding, procedural scaffolding, reciprocity loops and temporal accumulation. It positions compassionate leadership as a capability-building translation mechanism and clarifies how time, repetition and disruption shape whether wellbeing routines become credible organizational capability.</p>","PeriodicalId":47447,"journal":{"name":"Journal of Health Organization and Management","volume":" ","pages":"1-19"},"PeriodicalIF":2.4,"publicationDate":"2026-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148799621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}