Complex Organization Research Articles

Modeling Growth and Photoadaptation of Porphyridium purpureum Batch Culture

The work focuses on mathematical modeling of linear growth marine red algae Porphyridium purpureum batch culture under various surface irradiation. Before starting the batch culture P. purpureum was maintained for 3–5 days in turbidostat, which allowed the culture to adapt to a given light intensity. On each batch curve the maximum specific growth rate and maximum productivity are determined by approximating the exponential and linear growth phases with the appropriate equations. It is taken into account that at the beginning of the linear growth phase the integral light absorption coefficient, calculated from the true absorption spectrum in PAR range, exceeded 50 %. It is shown that with light intensity increase from 15 to 227 µmol photons m–2·s–1 the maximum specific growth rate increased from 0.31 to 1 day–1, the maximum productivity increased from 1.32 to 16.38 g DW m–2·day–1. Mathematical modeling of the linear growth of P. purpureum batch culture have showed that at any light intensity the specific growth rate is determined by the surface illumination, the light absorption coefficient and chlorophyll a concentration. The concept of reduced irradiation – the amount of absorbed light energy per chlorophyll a – was introduced. A linear dependence of the specific growth rate on reduced irradiation is given. The tangent of the angle of line slope is determined by the organization of the key multi-enzyme complex («metabolism bottleneck»). Parameters of this complex depend on the cells photoadaptation degree. For the first time a quantitative relationship between multi-enzyme complex parameters, light intensity and the chlorophyll / P700 ratio was established.

How Should a Virtual University Be Managed? A Theoretical Approach

Abstract The concept of a virtual university (VU) has grown in popularity among academics. It has been adopted by numerous traditional universities (TU) that got familiar with virtual education since spring 2020, triggered by the pandemic context. Today, university decision-makers should see VU as more than just an anchor, a mechanism to ensure the continuity of the educational process in grave conditions, or a model for distance online education through intense use of information technology (IT). This paper's research shows that a conceptual model of a virtual university (MVU) should be seen as a complex organization with a structure of roles held by people who interact in processes to provide products and services to students, researchers, and other learners in a virtual environment, supported by IT resources. The study aims to highlight management process (MP) on MVU. It analyzes and interprets the MP for an organization, followed by universities. This theoretical approach can address university's tactical management needs from the perspective of transition or adoption of MVU and understanding what it means to manage a VU. The presented way of managing VUs offers unique support for decisions of acceptance within the academic and administrative community in Romania to integrate and offer virtual education.

Investigating the use of actor-network theory in healthcare: a protocol for a systematic review

Healthcare systems are confronted with constant challenges and new crisis waves necessitating a transformation of current approaches to healthcare delivery. Transformation calls for integration, partnerships, interprofessional teamwork and collaboration between...

Spatial Patterning Analysis of Cellular Ensembles (SPACE) discovers complex spatial organization at the cell and tissue levels.

Spatial patterns of cells and other biological elements drive both physiologic and pathologic processes within tissues. While many imaging and transcriptomic methods document tissue organization, discerning these patterns is challenging, especially when they involve multiple elements in complex arrangements. To address this challenge, we present Spatial Patterning Analysis of Cellular Ensembles (SPACE), an R package for analysis of high-plex spatial data. SPACE is compatible with any data collection modality that records values (i.e., categorical cell/structure types or quantitative expression levels) at fixed spatial coordinates (i.e., 2d pixels or 3d voxels). SPACE detects not only broad patterns of co-occurrence but also context-dependent associations, quantitative gradients and orientations, and other organizational complexities. Via a robust information theoretic framework, SPACE explores all possible ensembles of tissue elements - single elements, pairs, triplets, and so on - and ranks the most strongly patterned ensembles. For single images, rankings reflect patterns that differ from random assortment. For sets of images, rankings reflect patterns that differ across sample groups (e.g., genotypes, treatments, timepoints, etc.). Further tools then thoroughly characterize the nature of each pattern for intuitive interpretation. We validate SPACE and demonstrate its advantages using murine lymph node images for which ground truth has been defined. We then use SPACE to detect new patterns across varied datasets, including tumors and tuberculosis granulomas.

Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN).

Connectome is understanding the complex organization of the human brain's structural and functional connectivity is essential for gaining insights into cognitive processes and disorders. To improve the prediction accuracy of brain disorder issues, the current study investigates dysconnected subnetworks and graph structures associated with schizophrenia. By using the proposed structural connectivity-deep graph neural network (sc-DGNN) model and compared with machine learning (ML) and deep learning (DL) models.This work attempts to focus on eighty-eight subjects of diffusion magnetic resonance imaging (dMRI), three classical ML, and five DL models. The structural connectivity-deep graph neural network (sc-DGNN) model is proposed to effectively predict dysconnectedness associated with schizophrenia and exhibits superior performance compared to traditional ML and DL (GNNs) methods in terms of accuracy, sensitivity, specificity, precision, F1-score, and Area under receiver operating characteristic (AUC). The classification task on schizophrenia using structural connectivity matrices and experimental results showed that linear discriminant analysis (LDA) performed 72% accuracy rate in ML models and sc-DGNN performed at a 93% accuracy rate in DL models to distinguish between schizophrenia and healthy patients.

Quality of work life, cultural values, and Islamic work ethics: The case of the Arab education system in Israel

The study focuses on quality of work life (QWL), Islamic work ethics (IWE), and cultural values among employees in a complex organization, with a case study of Arab high-school teachers in the education system in Israel. The sample consisted of 1245 employees. To establish a reliable model of QWL, exploratory factor analysis, and confirmatory factor analysis were utilized, resulting in six dimensions. A reliable model of IWE was also established, consisting of two dimensions. Employees reported average QWL levels, high IWE levels, low power distance, high uncertainty avoidance, and a tendency toward collectivism and femininity. This study demonstrates a positive relationship between QWL dimensions and IWE, with certain cultural values—such as collectivism and uncertainty avoidance—moderating this relationship.

The Set of Serine Peptidases of the Tenebrio molitor Beetle: Transcriptomic Analysis on Different Developmental Stages.

Serine peptidases (SPs) of the chymotrypsin S1A subfamily are an extensive group of enzymes found in all animal organisms, including insects. Here, we provide analysis of SPs in the yellow mealworm Tenebrio molitor transcriptomes and genomes datasets and profile their expression patterns at various stages of ontogeny. A total of 269 SPs were identified, including 137 with conserved catalytic triad residues, while 125 others lacking conservation were proposed as non-active serine peptidase homologs (SPHs). Seven deduced sequences exhibit a complex domain organization with two or three peptidase units (domains), predicted both as active or non-active. The largest group of 84 SPs and 102 SPHs had no regulatory domains in the propeptide, and the majority of them were expressed only in the feeding life stages, larvae and adults, presumably playing an important role in digestion. The remaining 53 SPs and 23 SPHs had different regulatory domains, showed constitutive or upregulated expression at eggs or/and pupae stages, participating in regulation of various physiological processes. The majority of polypeptidases were mainly expressed at the pupal and adult stages. The data obtained expand our knowledge on SPs/SPHs and provide the basis for further studies of the functions of proteins from the S1A subfamily in T. molitor.

Stratifying TAD boundaries pinpoints focal genomic regions of regulation, damage, and repair.

Advances in chromatin mapping have exposed the complex chromatin hierarchical organization in mammals, including topologically associating domains (TADs) and their substructures, yet the functional implications of this hierarchy in gene regulation and disease progression are not fully elucidated. Our study delves into the phenomenon of shared TAD boundaries, which are pivotal in maintaining the hierarchical chromatin structure and regulating gene activity. By integrating high-resolution Hi-C data, chromatin accessibility, and DNA double-strand breaks (DSBs) data from various cell lines, we systematically explore the complex regulatory landscape at high-level TAD boundaries. Our findings indicate that these boundaries are not only key architectural elements but also vibrant hubs, enriched with functionally crucial genes and complex transcription factor binding site-clustered regions. Moreover, they exhibit a pronounced enrichment of DSBs, suggesting a nuanced interplay between transcriptional regulation and genomic stability. Our research provides novel insights into the intricate relationship between the 3D genome structure, gene regulation, and DNA repair mechanisms, highlighting the role of shared TAD boundaries in maintaining genomic integrity and resilience against perturbations. The implications of our findings extend to understanding the complexities of genomic diseases and open new avenues for therapeutic interventions targeting the structural and functional integrity of TAD boundaries.

The novel Plasmodium berghei protein S14 is essential for sporozoite gliding motility and infectivity.

Plasmodium sporozoites are the infective forms of the malaria parasite in the mosquito and vertebrate host. Gliding motility allows sporozoites to migrate and invade mosquito salivary glands and mammalian hosts. Motility and invasion are powered by an actin-myosin motor complex linked to the glideosome, which contains glideosome-associated proteins (GAPs), MyoA and the myosin A tail-interacting protein (MTIP). However, the role of several proteins involved in gliding motility remains unknown. We identified that the S14 gene is upregulated in sporozoite from transcriptome data of Plasmodium yoelii and further confirmed its transcription in P. berghei sporozoites using real-time PCR. C-terminal 3×HA-mCherry tagging revealed that S14 is expressed and localized on the inner membrane complex of the sporozoites. We disrupted S14 in P. berghei and demonstrated that it is essential for sporozoite gliding motility, and salivary gland and hepatocyte invasion. The gliding and invasion-deficient S14 knockout sporozoites showed normal expression and organization of inner membrane complex and surface proteins. Taken together, our data show that S14 plays a role in the function of the glideosome and is essential for malaria transmission.

(Thermo)mechanical and chemical characteristics of photochemically crosslinked acrylates from bio‐ and fossil‐based origin

AbstractThe acrylates with oligomers and monomers from (partially) bio‐based feedstock become available at (semi‐)industrial scale, which can be processed through photochemical crosslinking for applications in coatings, additive manufacturing, electronics, or inks. Although fossil‐ and bio‐based acrylates may have a similar chemical composition, it requires good understanding of processing and structure–property relationships as minor changes in microstructure may strongly alter the performance. A comparative study on mechanical properties and chemical structure of bio‐ and fossil‐based acrylates with different functionalities and backbone structures reveals higher ductility of bio‐based acrylates, in relation with a more complex organization of the intrinsic molecular structure. The latter is confirmed by mechanical testing and visco‐elastic characteristics (dynamic mechanical analysis) yielding lower stiffness and higher dampening of bio‐based acrylates, in parallel with a lower glass transition temperature (differential scanning calorimetry). The complex molecular arrangements include a nanoscale morphology with ordered structure (X‐ray diffraction), conformational changes (infrared spectroscopy), and a residual high‐molecular weight fraction (size exclusion chromatography). The visco‐elastic calculations indicate only 4% to 5% lower crosslinking density and around 10% higher mean molar mass of the polymer chains segments between chemical crosslinks and trapped chain entanglements, which explain the unique structure and performance of bio‐based acrylates.

Sensemaking and medical professional identity within the context of strategic change

Objective of the study: To identify how the physicians of a major Brazilian hospital perceive the proposed change in payment models for services provided and whether the proposed change affects elements of the professional identity of the physicians interviewed. Methodology / approach: This study draws on the sensemaking theory, medical professional identity and implementation of strategies in complex organizations. It was carried out a qualitative research through semi-structured interviews with a group of physicians who works in a large Brazilian hospital that was facing changes in the reimbursement model. Originality / Relevance: Research addressing the reasons why physicians tend to resist is important to help strategists to design an approach to obtain professional adherence. Main results: The research participants perceive threats to their autonomy in two attributes, Clinical Autonomy and Financial Autonomy. Regarding the change in the payment model for services rendered, some interviewees perceive their need, but demonstrate a desire for more active participation in the discussion and elaboration of new models, thus configuring the need to maintain their Political Autonomy. Theoretical / methodological contributions: This work contributes to the literature by advancing the process of understanding sensemaking triggers and demonstrating how and why threats to professional identity can hamper the process of implementing strategies in complex organizations. Social / management contributions: The implementation of strategies in hospital organizations is a topic of great relevance for the managers of the healthcare industry, due to its multiplicity of actors and interests, in addition to exponential technological evolution.

Building hybrids between higher education and society

In this study, the changed context for higher education institutions is analysed through the lens of various approaches to collaboration between higher education institutions and society. Three different approaches are discussed: the ivory tower, the factory, and the network. Although these approaches differ, higher education institutions are complex organisations and can embrace a mix of approaches. Nevertheless, depending on the approach applied, this impacts how collaboration between higher education institutions and organisations in society plays out. The study contextualised these approaches in a joint higher education-industry project focusing on developing work-integrated learning (WIL) in a Business Administration program. WIL should embrace practice-based pedagogical methods and strategies by integrating theoretical knowledge in the workplace. To achieve WIL, a network of stakeholders needs to be engaged actively in practice-based activities. The study aimed to report preliminary results from a higher education work-integrated learning project. The following research question was posed: How can higher education institutions, together with organisations in society, apply a networked approach to work-integrated learning? Thus, this paper contributes to knowledge regarding the networked aspects of the design and development of a preliminary framework, including the following themes: Exchanges of experiences and knowledge, Guest lecturers and Bring-Your-Own-Data (BYOD) assignments. These themes manifest a networked WIL framework as a hybrid between higher education and society. First, the networks of experiences and knowledge within academia merge with those of experiences and knowledge in society. Between these two, a hybrid networked work-integrated framework links higher education and society. Second, the same can be said to be true for guest lecturers. Here, guest lecturers became a link between higher education and society and therefore merge the two networks of learning through information and knowledge exchange. Third, BYOD assignments provided further manifestations of a networked WIL framework. Authentic data from the workplace meet the theories of higher education and a hybrid is created. When practice meets theory, they, too, become a link between higher education and society.

Barriers to and Facilitators of Key Stakeholders Influencing Successful Digital Implementation of Remote Monitoring Solutions: Mixed Methods Analysis.

Implementation of remote monitoring solutions and digital alerting tools in health care has historically been challenging, despite the impetus provided by the COVID-19 pandemic. To date, a health systems-based approach to systematically describe barriers and facilitators across multiple domains has not been undertaken. We aimed to undertake a comprehensive mixed methods analysis of barriers and facilitators for successful implementation of remote monitoring and digital alerting tools in complex health organizations. A mixed methods approach using a modified Technology Acceptance Model questionnaire and semistructured interviews mapped to the validated fit among humans, organizations, and technology (HOT-fit) framework was undertaken. Likert frequency responses and deductive thematic analyses were performed. A total of 11 participants responded to the questionnaire and 18 participants to the interviews. Key barriers and facilitators could be mapped onto 6 dimensions, which incorporated aspects of digitization: system use (human), user satisfaction (human), environment (organization), structure (organization), information and service quality (technology), and system quality (technology). The recommendations proposed can enhance the potential for future remote sensing solutions to be more successfully integrated in health care practice, resulting in more successful use of "virtual wards." ClinicalTrials.gov NCT05321004; https://www.clinicaltrials.gov/study/NCT05321004.

Network science: Ising states of matter.

Network science provides very powerful tools for extracting information from interacting data. Although recently the unsupervised detection of phases of matter using machine learning has raised significant interest, the full prediction power of network science has not yet been systematically explored in this context. Here we fill this gap by providing an in-depth statistical, combinatorial, geometrical, and topological characterization of 2D Ising snapshot networks (IsingNets) extracted from Monte Carlo simulations of the 2D Ising model at different temperatures, going across the phase transition. Our analysis reveals the complex organization properties of IsingNets in both the ferromagnetic and paramagnetic phases and demonstrates the significant deviations of the IsingNets with respect to randomized null models. In particular percolation properties of the IsingNets reflect the existence of the symmetry between configurations with opposite magnetization below the critical temperature and the very compact nature of the two emerging giant clusters revealed by our persistent homology analysis of the IsingNets. Moreover, the IsingNets display a very broad degree distribution and significant degree-degree correlations and weight-degree correlations demonstrating that they encode relevant information present in the configuration space of the 2D Ising model. The geometrical organization of the critical IsingNets is reflected in their spectral properties deviating from the one of the null model. This work reveals the important insights that network science can bring to the characterization of phases of matter. The set of tools described hereby can be applied as well to numerical and experimental data.

Optimization of management of economic companies of the agroindustrial complex with state share of ownership

On the basis of the current composition and structure of agroindustrial complex organizations of the Republic of Belarus, the dynamics of change of the state’s share in the authorized capital of agricultural, as well as industrial and service economic societies has been revealed; the peculiarities of normative-legal regulation of management of economic societies of agroindustrial complex with the state share of ownership have been studied; the scheme of the organizational mechanism of their management and the directions of improving the assessment of the performance of the state representatives in the management structure have been proposed.

Viable System Model (VSM): A New Approach to Accounting Information System Development Model

This article discusses the potential for using the Viable System Model (VSM) as a new approach in developing accounting information systems. This article takes the form of a systematic literature review. The analysis was carried out using a comparative approach between the System Development Life Cycle (SDLC-Model) and the Viable System Model (VSM) in general and specifically in the field of accounting and accounting information systems. The SDLC is primarily focused on the development and management of software or systems, while the VSM is concerned with the broader understanding and management of complex organizations. Both concepts have their unique applications and are important in their respective domains. The results of the study show that the VSM has a more holistic approach in developing accounting information systems. The research results also show that VSM is more suitable for developing accounting information systems in organizations that are complex, flexible, and adaptive to the speed of change in the company’s ongoing organizational business environment. The VSM provides a framework for understanding how organizations and systems can adapt to changing environments and maintain viability. It is particularly useful for complex organizations that need to respond to dynamic conditions. Keywords: accounting information system development, viable system model, system development life cycle

Abstract PO2-25-03: Deciphering the immune molecular signature associated with pembrolizumab efficacy in the neoadjuvant setting of Triple-Negative Breast Cancer patients: a single-centre experience

Abstract Triple-negative breast cancer (TNBC) accounts for 15-20% of all breast cancers and is characterized by a high rate of recurrence, despite the improvement of the therapeutic approaches in recent years. Neoadjuvant chemotherapy (NACT) is the standard treatment for early-stage TNBC. Achieving a pathological complete response (pCR) is considered an essential prognostic factor for long-term outcomes. However, the percentage of pCR patients after NACT is limited to 30-40%, thus requiring the implementation of novel therapeutic strategies. Recently, by applying a morphology-guided spatial transcriptomic approach on Tru-Cut biopsies, we showed that intratumoral infiltrating lymphocytes (iTILs) and stromal Natural Killer (NK) cells are major determinants of chemotherapy efficacy in TNBC. These data highlight a complex three-dimensional organization of the tumor landscape and underline how spatiality and molecular activation of immune cells are essential to enhance the efficacy of neoadjuvant NACT in TNBC. The fact that immune cells are important players in this setting is corroborated by the clinical success shown by the KEYNOTE-522 study. This trial paved the way for the use of immunotherapy in neoadjuvant settings, obtaining a significant improvement in the patient’s overall response compared to standard NACT. Still, the implementation of chemotherapy with immunotherapy in the TNBC neoadjuvant treatment implicates several compelling questions, including how to further increase the percentage of patients with a complete response, overcoming resistance mechanisms, and how to improve the personalization of treatment, evaluating which patients can benefit from a therapy de-scalation or another combined therapeutic strategy. In this prospective cohort study, we decided to define the relevance of different immune populations in affecting pembrolizumab efficacy in the neoadjuvant treatment of TNBC patients. We treated 40 patients with an early-TNBC diagnosis with the KEYNOTE-522 regimen that consists of four cycles of an intravenous infusion of pembrolizumab plus paclitaxel and carboplatin, followed by four cycles of pembrolizumab plus epirubicin and cyclophosphamide. Only patients with evident side effects to immunotherapy administration were a priori excluded. Currently, 18 patients ended the neoadjuvant schedule and underwent surgical excision. Our data indicate that 15 patients displayed a pCR at the end of the therapy, whereas 3 patients displayed only partial response. To further clarify the immune dynamics that lead to a complete response to pembrolizumab in these patients, we collected peripheral blood before and after neoadjuvant treatment to isolate peripheral blood mononucleated cells (PBMCs). We applied a single-cell transcriptome analysis to shape any variations in circulating immune cells occurring during neoadjuvant treatment and associated with patient response. In addition, we collected residual tumors at surgery from partial responders and derived three-dimensional organoids that recapitulate the characteristics of the original patient tumor. These ex vivo organoid-based platforms are applied to clarify the molecular mechanisms driving neoadjuvant resistance. To this aim, we are performing co-cultures with autologous immune cells to identify novel combined therapeutic strategies to rescue pembrolizumab efficacy in these models. Overall, our study is defining the immune-related molecular mechanisms driving pembrolizumab and chemotherapy response in the neoadjuvant treatment of TNBC patients. Our findings can improve our understanding of which immune populations are determinant players in anti-TNBC immune response and can be proposed as novel biomarkers of pembrolizumab efficacy during the neoadjuvant treatment. Citation Format: Elisa Gasparini, Gloria Manzotti, Moira Ragazzi, Benedetta Donati, Federica Torricelli, Elisa Salviato, Alessandra Bisagni, Eleonora Zanetti, Alessandra Bologna, Saverio Coiro, Rita Vacondio, Guglielmo Ferrari, Giancarlo Bisagni, Carmine Pinto, Alessia Ciarrocchi, Francesca Reggiani. Deciphering the immune molecular signature associated with pembrolizumab efficacy in the neoadjuvant setting of Triple-Negative Breast Cancer patients: a single-centre experience [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-25-03.

AI-based analysis and linking of technical and organisational data using graph models as a basis for decision-making in systems engineering

AbstractThe increased complexity of development projects surpass the capabilities of existing methods. While Model Based Systems Engineering pursues technically holistic approaches to realize complex products, aspects of organization as well as risk management, are still considered separately. The identification and management of risks are crucial in order to take suitable measures to minimize adverse effects on the project or the organization. To counter this, a new graph-based method and tool using AI, tailored to the needs of complex development projects and organizations is introduced here.

Biallelic Variants of MRPS36 Cause a New Form of Leigh Syndrome.

The MRPS36 gene encodes a recently identified component of the 2-oxoglutarate dehydrogenase complex (OGDHC), a key enzyme of the Krebs cycle catalyzing the oxidative decarboxylation of 2-oxoglutarate to succinyl-CoA. Defective OGDHC activity causes a clinically variable metabolic disorder characterized by global developmental delay, severe neurological impairment, liver failure, and early-onset lactic acidosis. We investigated the molecular cause underlying Leigh syndrome with bilateral striatal necrosis in two siblings through exome sequencing. Functional studies included measurement of the OGDHC enzymatic activity and MRPS36 mRNA levels in fibroblasts, assessment of protein stability in transfected cells, and structural analysis. A literature review was performed to define the etiological and phenotypic spectrum of OGDHC deficiency. In the two affected brothers, exome sequencing identified a homozygous nonsense variant (c.283G>T, p.Glu95*) of MRPS36. The variant did not affect transcript processing and stability, nor protein levels, but resulted in a shorter protein lacking nine residues that contribute to the structural and functional organization of the OGDHC complex. OGDHC enzymatic activity was significantly reduced. The review of previously reported cases of OGDHC deficiency supports the association of this enzymatic defect with Leigh phenotypic spectrum and early-onset movement disorder. Slightly elevated plasma levels of glutamate and glutamine were observed in our and literature patients with OGDHC defect. Our findings point to MRPS36 as a new disease gene implicated in Leigh syndrome. The slight elevation of plasma levels of glutamate and glutamine observed in patients with OGDHC deficiency represents a candidate metabolic signature of this neurometabolic disorder. © 2024 International Parkinson and Movement Disorder Society.

Swedish crisis preparedness planners' understanding and sense‐making of preparedness work in a public organisation: Implications for future development

AbstractThe sometimes rapid development of (new) threats and extraordinary events calls for a robust, flexible, and well‐equipped civil crisis preparedness system to respond and limit the damage of crisis events. To achieve this, Swedish municipalities and regions are required by law to regularly perform and report risk and vulnerability analysis ‘bottom up’ to governmental agencies. When performed in large and complex public organisations, crisis preparedness planning activities require negotiation, coordination, and cooperation among large numbers of people. Crisis preparedness planners facilitate and produce this proactive crisis preparedness work. However, research has revealed that preparedness planners face organisational and practical challenges when performing their work.This study aims at increasing the knowledge of crisis preparedness planners' understandings and sense‐making of their work in one Swedish region when fulfilling the requirements set by the Swedish national regulations. The objectives of this paper are to present findings on (1) how the preparedness planners understand and make sense of their crisis preparedness work; (2) which major enablers and barriers that affect their work; and, based on the results, (3) forward possibilities for improvement.Semi‐structured interviews were conducted with the 10 crisis preparedness planners. A narrative stepwise analysis approach was applied. The analysis results revealed challenges in the crisis preparedness work due to uncommitted managers, unclear goalsetting, and the planners' sometimes limited skills in crisis preparedness work. It also report on managers' autonomy and varying focus on crisis preparedness, planners' unclear individual work space, and many different and sometimes strong voices about the work performance and content. This raises the question whose interest that in practice sets the agenda for crisis preparedness planning in the organisation.The study demonstrates needs for increased organisational sense‐making on the concept of crisis preparedness and how it should be performed, and for conceptual and technical skills to perform the preparedness work. To increase sense‐making and strengthen generic subjectivity on crisis preparedness work, further discussions are needed about enablers and barriers in preparedness work and an increased joint focus on possible internal and external threats. There are also needs for increased manager‐coworker‐planner cooperation when developing the preparedness work, and strategic changes in the organisational development involving goalsetting for crisis preparedness ‘top‐down’ as well as ‘bottom‐up’.