Holistic Model Research Articles

Methodological Aspect of Evaluating the Effectiveness of Public Policy in Depressed Regions

The paper considers the practical possibilities of using various methods of qualitative and quantitative assessment of the effectiveness of public policy implementation, detailed in the context of the problem of depressed regions rehabilitation. The aim of the study is to form a holistic and comprehensive model that allows analyzing the effectiveness of the implementation of state projects at the regional level, taking into account the specific features inherent in the economic and administrative spheres of the depressed subjects of the Russian Federation. The relevance of the research topic to these conditions is defined by the dynamic nature of the development of regional depression, as well as the need to improve public administration mechanisms in order to solve urgent problems of socio-economic development of regions and ensure opportunities for sustainable and balanced spatial development of the Russian Federation. The development of this topic includes the use of methods of retrospective statistical analysis, mathematical modeling, as well as abstraction and socio-economic comparison. Based on the results of the study, a theoretical concept has been formed, including a methodological apparatus that allows evaluating the effectiveness of existing models of public administration for the development of depressed regions. The conclusions obtained at the theoretical level are concretized in the context of a practice-oriented analysis of the state and prospects of development of the depressed region — the Ulyanovsk region; the results of the analysis fully prove the validity of the proposed methodological developments. Based on the results of the study, a number of practical conclusions were made, in particular, in the context of analyzing the effectiveness of public policy, the role of integrated non-financial quantitative assessment tools was updated, as well as a number of aspects of their practical application and further improvement were specified. The prospects for further use of the proposed evaluation model are related to the possibility of its implementation into the structure of software and analytical complexes currently used in public administration practice. The results of the study are of practical importance in the context of the possibilities of optimizing the control and evaluation functions of public authorities and, in particular, can be used by subjects of state strategic planning for the formation and subsequent assessment of territorial development plans of the Russian Federation.

A nationwide digital maturity assessment of hospitals – Results from the German DigitalRadar

ObjectivesIn 2019, the German government established the Hospital Future Fund, allocating 4.3 billion Euros, to support investments in the digital infrastructure of hospitals. The DigitalRadar consortium was commissioned by the German Ministry of Health in 2020 to develop a holistic digital maturity model and evaluate the current state of digitalization and the impact of the funding program. To date, the nationwide digitalization of German hospitals has remained a relatively understudied phenomenon. This study aims to address this gap in knowledge by examining the influence of various factors identified by the DigitalRadar maturity model on the digital maturity of hospitals in Germany. In doing so, it seeks to elucidate the implications these findings have for the development of a digital, patient-centred, safe, and high-quality hospital landscape in the country. MethodsThe model was developed through a scoping review of digital maturity models, requirements set forth in the Hospital Future Act, analysis of components from existing models and feedback from a sounding board. Ultimately, the model includes 234 questions (items) categorized into 7 dimensions of digitalization. It was piloted in 12 hospitals and revised accordingly. 1,624 hospitals (91% of all German hospitals) participated in this self-assessment, as participation was mandatory to receive funding. ResultsThe average DigitalRadar score on a 100-point scale is 33. Maturity is comparatively high in the structures and systems dimension, but low in the clinical processes, exchange of information, telemedicine and patient participation dimensions, suggesting that data exchange is hampered by a lack of interoperability. Drivers of digital maturity are teaching status, size, connectivity, and level of emergency services. ConclusionsThe transparency gained allows hospitals and regulators to identify areas for improvement and develop digital strategies. Additionally, it enables researchers to analyse, for example, the correlation between digitalization and the quality of care, as well as the mechanisms of action of large-scale funding programs for hospital digitization.

Sharing and comparing languages – how teachers and pupils co-construct language comparison interactions

ABSTRACT By focusing on differences and similarities between languages, pupils can increase their learning of abstract principles, metalinguistic awareness and language learning strategies (Duarte, J., & Günther-Van der Meij, M. (2018). A holistic model for multilingualism in education. EuroAmerican Journal of Applied Linguistics and Languages, 5(2), 24–43; Star, J. R., & Rittle-Johnson, B. (2009). It pays to compare: An experimental study on computational estimation. Journal of Experimental Child Psychology, 102(4), 408–426). However, research has demonstrated that the possible benefits of multilingual approaches, such as language comparison, might be limited due to the nature of the classroom interaction in which these approaches are implemented (Rabbidge, M. (2019). The effects of translanguaging on participation in EFL classrooms. The Journal of AsiaTEFL, 16(4), 1305–1322). By using conversation analysis, the current study aimed to gain more insight into how teachers and pupils co-construct language comparison interactions in whole class conversations. Both the conversational structure and the teachers’ practices to stimulate pupils’ active contribution to the interactions were analysed, demonstrating a dominant conversational structure consisting of two key components. Dialogic and non-dialogic participation frameworks could be identified with the first providing pupils more opportunities to actively participate and contribute their own language comparisons than the latter. This study provides interactional evidence for the role of language comparison in making use of pupils’ diverse languages and has direct implications for teachers’ ways of shaping participation frameworks to stimulate home language use in the classroom.

Micro-meso-macro framework: a three-layered approach to understand brand pride

Purpose This study aims to develop a micro-meso-macro framework of brand pride to understand brand pride, its forms, characteristics and the interdependence of this construct, in a comprehensive manner. Design/methodology/approach Literature in brand pride has been systematically extracted, analysed and evaluated, to propose an integrated framework which presents a holistic view of brand pride. Findings At the micro level, brand pride is associated with owning individual level characteristics such as personality, culture, values, beliefs and motivation action and behaviour of the individual; at the meso level, brand pride is associated with characteristics at brand level, actions and behaviour such as brand personality, brand value and image. At the macro level, brand pride is associated with brand interactive characteristics, actions and behaviour, at a broader network of systems and environment such as brand responsible behaviour and brand’s adaptability in creating a robust network in uncertainty. Originality/value This paper identifies brand pride as a useful connecting point between brands and the surrounding environment, to achieve a more sustainable branding practice. Although previous researchers explored its effects on brand loyalty in various contexts, a comprehensive, holistic model for enhancing brand pride, suitable for application at various situations and various levels, was missing. This research fills this gap through a unique contribution by proposing a micro-meso-macro framework, which is a three-layered approach to brand pride.

Treatment Needs of Patients With Severe Alcohol Use Disorders

Background: People with alcohol use disorders (AUDs) have varied needs while they seek treatment. Understanding and focusing on the needs will improve treatment outcomes. The objective of the study is to qualitatively assess the treatment-related needs of patients with AUDs admitted to a tertiary care treatment center. Methods: A semi-structured questionnaire with anchor questions was developed based on a literature review and key informant interviews. All the interviews were audio recorded, transcribed, and color-coded manually. Two reviewers reviewed the codes. Themes and subthemes were generated using thematic inductive analysis. Results: Among 15 patients interviewed, all the patients had severe AUD (100%), were married (100%), were primarily males (86.6%), and more than half below the poverty line (53.4%), with a mean age of 41.1 years (SD = 9.5). Four major themes of treatment needs were identified: (a) individual, (b) family-related, (c) hospital-related, and (d) community-related. Among individual needs-medication-related, psychological, and occupational were prominent. Addressing family conflict and supporting the family are the significant subthemes for family-related needs. The behavior of the treating team, environmental needs, and diverse services were significant hospital-related needs. Awareness, accessibility, availability, and affordability of treatment services were the major community-related needs. Conclusion: The study highlights diverse needs extending from individual to community among people with AUDs. A holistic treatment model to address these needs will improve the quality of care and treatment outcomes.

Assessing the Settlement and Deformation of Pile-Supported Embankments Undergoing Groundwater-Level Fluctuations: An Experimental and Simulation Study

The intensification of extreme weather phenomena, ranging from torrential downpours to protracted dry spells, which trigger fluctuations at the groundwater level, poses a grave threat to the stability of embankments, giving rise to an array of concerns including cracking and differential settlement. Consequently, it is crucial to embark on research targeted at uncovering the settlement and deformation behaviors of pile-supported embankments amidst changes in water levels. In tackling this dilemma, a series of direct shear tests were carried out across a range of wet–dry cyclic conditions. The results confirmed that the occurrence of wet–dry cycles significantly impacted the resilience of silty clay. Additionally, it was observed that the erosion of cohesion and the angle of internal friction initially diminished sharply, subsequently leveling off, with the first wet–dry cycle exerting the most substantial influence on soil strength. Employing a holistic pile-supported embankment model, simulations revealed that variations in the groundwater level, fluctuations therein, varying descent rates, and periodic shifts in the groundwater level could all prompt alterations in soil settlement between embankment piles and could augment the peak tensile stress applied to geogrids. In summary, the orthogonal experimental method was utilized, indicating that, in terms of impacting embankment settlement under periodic water-level changes, the factors ranked in descending order were the following: pile spacing, pile length, embankment height, and the height of the groundwater table.

Podoconiosis in Uganda: prevalence, geographical distribution and risk factors.

Podoconiosis is a neglected debilitating yet preventable disease. Despite its public health significance, podoconiosis is often misdiagnosed and confused with lymphatic filariasis. No appropriate diagnostic tests exist, contributing to underestimation and the absence of control interventions. A population-based cross-sectional survey was conducted in seven districts with suspected or reported cases of podoconiosis or an altitude of 1200m above sea level. Conducted from 30 January to 19 March 2023, the survey employed multilevel stratified sampling to reach eligible household members. Of the 10023 participants sampled, 187 (confidence interval 1.25 to 2.78) had clinical features of podoconiosis. The highest prevalence was recorded in Nakapiripirit (7.2% [58/809]) and Sironko (2.8 [44/1564]) and the lowest in Kasese (0.3% [5/1537]), but ranged from 1.1 to 1.8% in Zombo, Rukungiri, Gomba and Hoima districts. The duration of podoconiosis was reported to range from 1 to 57y. Factors associated with podoconiosis occurrence included advanced age, tungiasis, household cleanliness and personal hygiene. Sleeping on a bed, bathing daily, use of soap and use of footwear in at least moderate condition were protective against podoconiosis. Podoconiosis occurred in all the sampled districts and was linked to personal hygiene. Long-standing cases suggest an absence of treatment. There is potential for early intervention using a holistic care model in managing this condition. Urgent action and stakeholder engagement are essential for effective podoconiosis management.

Factors influencing nurse practitioner panel size in team-based primary care: a qualitative case study

BackgroundLack of access to health care is a worldwide public health crisis. In primary care it has led to increases in the implementation of nurse practitioners and heightened interest in their patient panel capacity. The aim of this study was to examine factors influencing nurse practitioner patient panel size in team-based primary care in Ontario, Canada.MethodsWe used a multiple case study design. Eight team-based primary care practices including rural and urban settings were purposively selected as cases. Each case had two or more nurse practitioners with a minimum of two years experience in the primary care setting. Interviews were conducted in-person, audio recorded, transcribed and analysed using content analysis.ResultsForty participants, including 19 nurse practitioners, 16 administrators (inclusive of executives, managers, and receptionists), and 5 physicians were interviewed. Patient, provider, organizational, and system factors influenced nurse practitioner patient panel size. There were eight sub-factors: complexity of patients’ health and social needs; holistic nursing model of care; nurse practitioner experience and confidence; composition and functioning of the multidisciplinary team; clerical and administrative supports, and nurse practitioner activities and expectations. All participants found it difficult to identify the panel size of nurse practitioners, calling it— “a grey area.” Establishing and maintaining a longitudinal relationship that responded holistically to patients’ needs was fundamental to how nurse practitioners provided care. Social factors such as gender, poverty, mental health concerns, historical trauma, marginalisation and literacy contributed to the complexity of patients’ needs. Participants indicated NPs tried to address all of a patient’s concerns at each visit.ConclusionsNurse practitioners have a holistic approach that incorporates attention to the social determinants of health as well as acute and chronic comorbidities. This approach compels them to try to address all of the needs a patient is experiencing at each visit and reduces their panel size. Multidisciplinary teams have an opportunity to be deliberate when structuring their services across providers to meet more of the health and social needs of empanelled patients. This could enable increases in nurse practitioner panel size.

People with dementia and family carers are welcoming of a model of dementia palliative care, but sceptical of its implementation.

A palliative care approach can improve quality-of-life for people with dementia. It is the preference of many people with dementia to remain living at home until death, with the appropriate care. To develop a successful model for dementia palliative care in the community, it is essential to assimilate the perspectives and experiences of those affected. The guiding research question for this study was: What are people with dementia and family carers' views on a model for dementia palliative care?. Focus groups (n = 3) were conducted with bereaved or current family carers (n = 11), and people with dementia (n = 2). Discussions centred around a proposed model of dementia palliative care. These were transcribed and analysed using thematic analysis. Three main themes were identified: living and dying well with dementia; reducing carer burden to fulfil the wish for home care; and lack of faith in the healthcare system. One statement which summarised the analysis was: "Dementia palliative care is a dream, but not a reality." This reflected participants' repeated "wish" for this "ideal" model of care, but simultaneous scepticism regarding its implementation, based on their prior experiences of healthcare services. All participants were welcoming of the proposed model for dementia palliative care and were generally positive about palliative care as a concept relating to dementia. There was consensus that the model would allow people to live and die well with dementia, and reducing the carer burden would fulfil the wish to remain at home. However systemic changes in the healthcare system will be needed to facilitate a truly person-centred, holistic, individualised and flexible model of care.

GLP-1 receptor agonists and their role in managing type 2 diabetes.

Until recently the focus in diabetes care was on managing blood glucose - a glucocentric view. This is changing to a more holistic model aimed at prevention, treatment and management through lifestyle interventions as well as medication. An estimated 5 million people in the UK are living with diabetes, most have type 2 diabetes which is associated with obesity. Type 2 diabetes can be prevented, treated with diet and weight loss, or managed with medication. The number of people with diabetes has reached epidemic proportions. To manage diabetes well and reduce complications of poorly managed diabetes, management of the condition can no longer be restricted to endocrinologists and diabetes specialist nurses. This article provides guidance on how glucagon-like peptide-1 receptor agonists can be used in the management of type 2 diabetes.

Midwifery experiences in rural Southern Aotearoa New Zealand: insights into pre-eclampsia management

aim: This study investigated the experiences of rural midwives in the Southern region of Aotearoa New Zealand, focussing on practices and challenges in caring for pregnant individuals displaying signs of pre-eclampsia (PE). method: Conducted as part of the University of Otago’s Trainee Intern Healthcare Evaluation Project, investigating the efficacy of the soluble FMS-like tyrosine kinase 1 (sFlt-1)/placental growth factor (PlGF) ratio test, this exploratory study employed qualitative research methods. Twenty-three midwives from nine locations across the Southern region were interviewed by trainee intern doctors (TIs) using a semi-structured interview protocol. Thematic analysis was applied to the data. results: The study highlighted the challenging context of rural midwifery, emphasising diverse working conditions, geographic complexities and the impact of the midwifery shortage. Midwives’ decision making about PE depended on location, experience, scientific evidence, holistic model of care and the constant concern about PE. A model illustrating midwifery decision making in PE management was developed. conclusion: Rural midwives in Aotearoa New Zealand’s Southern region managing PE cases face complex challenges. The model derived from this study illustrates the delicate balance that rural midwives navigate, emphasising the need for strategies to support their practice and preserve Aotearoa New Zealand’s distinctive maternity care model.

IMPACT CKD: Holistic Disease Model Projecting 10-Year Population Burdens

IntroductionThe significant burden of chronic kidney disease (CKD) is not recognized as a global public health priority, although policies aimed at delaying progression to later stages are required. Hence, there is need for a holistic disease model to inform decision-making that accounts for the multi-dimensional impact of CKD, and the interrelated factors that modulate progression. MethodsIMPACT CKD is a microsimulation model that simulates CKD progression and incorporates the effect of clinical events and comorbidities. CKD status is assigned using estimated glomerular filtration rate (eGFR) and albuminuria levels, and CKD progression is predicted by an annual eGFR decline rate. The model projects clinical, healthcare resource use, economic, patient, societal, and environmental burdens from 2022-2032. During development, face, technical, and external validity were evaluated, with calibration conducted to population data. Further, cross-validation was conducted against two published models. The United Kingdom (UK) was selected as the case study for validation. ResultsA 7.7% increase in the CKD population by 2032 was predicted, with increasing numbers of patients with CKD stage 3-5 (21.7%), dialysis (75.3%), and transplantation (58.7%). The rise of renal replacement therapy patients results in an increase of 75% across freshwater use, fossil fuel depletion, and CO2 emissions over the next decade, and an estimated cost of £1.95 billion in 2032. Projections reflect validated findings from other models. ConclusionThe IMPACT CKD model is a robust simulation that delivers validated forecasts of the holistic CKD burden, which can support evaluation of diverse health policies and treatment strategies.

Developing a holistic, rights-based model for the educational inclusion of migrant and refugee students

ABSTRACT Grounded in the universal right to education, this article considers the collective findings of a selection of projects, conducted primarily by researchers from the SIRIUS Policy Network on Migrant Education arguing for a holistic approach to the educational inclusion of Newly Arrived Migrant and Refugee Students (NAMRS). The right to education demands access for all, including NAMRS, to a quality education that meets each individual’s learning needs, and supports and develops their own personal learning pathways. Moreover, a rights-based educational model should empower NAMRS to resist prescribed roles and identities, to define their own past, and liberate their visions of their futures from any constraints associated with their migration, so they can take ownership of the development of their future selves as active citizens of local, national and the global communities. The article sets out a holistic framework for an inclusive educational policy and practice that first considers, and then proposes ways to mitigate, the impact of several barriers to the attainment of this educational aim. Furthermore, the discussion explores the implications of the adoption of such a holistic model to guide educational practice, research and policy making when educating NAMRS.

Bone marrow niches for hematopoietic stem cells.

Hematopoietic stem cells (HSCs) are the cornerstone of the hematopoietic system. HSCs sustain the continuous generation of mature blood derivatives while self-renewing to preserve a relatively constant pool of progenitors throughout life. Yet, long-term maintenance of functional HSCs exclusively takes place in association with their native tissue microenvironment of the bone marrow (BM). HSCs have been long proposed to reside in fixed and identifiable anatomical units found in the complex BM tissue landscape, which control their identity and fate in a deterministic manner. In the last decades, tremendous progress has been made in the dissection of the cellular and molecular fabric of the BM, the structural organization governing tissue function, and the plethora of interactions established by HSCs. Nonetheless, a holistic model of the mechanisms controlling HSC regulation in their niche is lacking to date. Here, we provide an overview of our current understanding of BM anatomy, HSC localization, and crosstalk within local cellular neighborhoods in murine and human tissues, and highlight fundamental open questions on how HSCs functionally integrate in the BM microenvironment.

Evaluation of the coupling of EMACv2.55 to the land surface and vegetation model JSBACHv4

Abstract. We present the coupling of the Jena Scheme for Biosphere–Atmosphere Coupling in Hamburg version 4 (JSBACHv4) to the ECHAM/MESSy Atmospheric Chemistry (EMAC) model. With JSBACH, the soil water bucket model in EMAC is replaced by a diffusive hydrological transport model for soil water that includes water storage and infiltration in five soil layers, preventing soil from drying too rapidly and reducing biases in soil temperature and moisture. A three-layer soil scheme is implemented, and phase changes in water in the soil are considered. The leaf area index (LAI) climatology in EMAC has been substituted with a phenology module calculating the LAI. Multiple land cover types are included to provide a state-dependent surface albedo, which accounts for the absorption of solar radiation by vegetation. Plant net primary productivity, leaf area index and surface roughness are calculated according to the plant functional types. This paper provides a detailed evaluation of the new coupled model based on observations and reanalysis data, including ERA5/ERA5-Land datasets, Global Precipitation Climatology Project (GPCP) data and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data. Land surface temperature (LST), terrestrial water storage (TWS), surface albedo (α), net top-of-atmosphere radiation flux (RadTOA), precipitation (precip), leaf area index (LAI), fraction of absorbed photosynthetic active radiation (FAPAR) and gross primary productivity (GPP) are evaluated in particular. The strongest correlation (r) between reanalysis data and the newly coupled model is found for LST (r=0.985, with an average global bias of −1.546 K), α (r=0.947, with an average global bias of −0.015) and RadTOA (r=0.907, with an average global bias of 3.56 W m−2). Precipitation exhibits a correlation with the GPCP dataset of 0.523 and an average global bias of 0.042 mm d−1. The LAI optimisation yields a correlation of 0.637 with observations and a global mean deviation of −0.212. FAPAR and GPP exemplify two of the many additional variables made available through JSBACH in EMAC. FAPAR and observations show a correlation of 0.663, with an average global difference of −0.223, while the correlation for GPP and observations is 0.564 and the average global difference is −0.001 kg carbon km−1. Benefiting from the numerous added features within the simulated land system, the representation of soil moisture is improved, which is critical for vegetation modelling. This improvement can be attributed to a general increase in soil moisture and water storage in deeper soil layers and a closer alignment of simulated TWS with observations, mitigating the previously widespread problem of soil drought. We show that the numerous newly added components strongly improve the land surface, e.g. soil moisture, TWS and LAI, while surface parameters, such as LST, surface albedo or RadTOA, which were mostly prescribed according to climatologies, remain similar. The coupling of JSBACH brings EMAC a step closer towards a holistic comprehensive Earth system model and extends its versatility.

Perlindungan Hukum terhadap Pekerja Usia Anak di Indonesia

The existence of child exploitation and child labor will add to labor problems in Indonesia. The term "child labor" refers to people who employ children. The term "child labor" can be associated with the use of children's labor with low compensation or considerations regarding their personality development, safety, health, and future prospects. Most child workers do not have time to play or go to school like other children. Underage people work as hard as adults, both in formal and informal jobs. To save child labor in the future, a holistic and comprehensive solution model is needed. One method that can be used is a client-centered case management approach (centered on the client or child worker).

Development of the holistic quality model and assessment – Integrating the economic quality aspect and establishing an extended interrelation analysis

A holistic understanding and careful balancing of different quality aspects can support sustainable, evidence-based decisions during the planning and realisation phases of a building. To this end, it is important to consider, whether and to what extent different quality aspects are interrelated in order to assess potential consequences of decisions. For this purpose, the Holistic Quality Model 2.0 is introduced, representing a second iteration of the Holistic Quality Model developed in recent studies. It incorporates two improvements. First, the integration of the economic quality aspect in addition to the technical, environmental and social quality aspects. Second, the development of an extended interrelations methodology to facilitate better identification and quantitative analysis of interrelations. These improvements and a corresponding case study emphasise the shift from the conventional practice of evaluating quality aspects in isolation towards a holistic approach enabling informed decision-making by considering and balancing different quality aspects.

“Transience, Disruption, and Unfamiliarity in Refugee Journeys”: How Are Newly Arrived Refugee Families Supported in Their Children’s Transition to School in a Host Country?

ABSTRACT Newly arrived refugee families face cultural and linguistic difficulties when navigating their children’s transition to school in a host country. However, little is known about how families are supported in their child’s transition to school. Therefore, this article aimed to investigate how leaders and facilitators in community hubs and centers support refugee families in their child’s transition to school in Australia. Data gathered from interviews with 32 community hub leaders and center facilitators from three Australian states were analyzed thematically. The support provided to families fell into six themes: promoting children’s early learning; building families’ or mothers’ capital about starting school; promoting connections between school, families, and children; offering cultural and linguistic brokerage; providing soft entry support; and easing children’s and families’ transition to school via school-based transition activities and programs. The implications of this holistic model of support for educators that is built on place and strength-based approaches in facilitating newly arrived refugee children’s and families’ smooth start to school in their new communities are outlined.

Noise suppression zeroing neural network for online solving the time-varying inverse kinematics problem of four-wheel mobile manipulators with external disturbances

A novel noise suppression zeroing neural network (NSZNN) is presented for the trajectory tracking problem on a four Mecanum wheeled mobile manipulator (FMWMM) by solving its time-varying inverse kinematics (TVIK) problem. The holistic kinematic model of the FMWMM is developed, which can receive synergistic control of the mobile manipulator. Different from the situation without external interference addressed in our previous work, this paper considers a variety of common time-varying interferences by studying the basic principles of various noises, and proves the NSZNN model’s of the validity and superiority, which solves the TVIK problem of the FMWMM with external disturbances through theoretical analyses. Compared with the existing gradient neural network (GNN) and the traditional zeroing neural network (ZNN), the most representative hybrid noise is selected to conduct a large number of experiments to substantiate the high efficiency and robustness of the NSZNN model. Finally, the NSZNN model is verified on the FMWMM via a robot operating system (ROS) by a successful execution of the trajectory tracking task.

Managing next generation BP-x initiatives

AbstractPast generations of BPM involved the efficient and effective management of business processes. Yet, we currently face a turning point. The technological facets of data-driven BPM add complexity to traditional BPM applications. As a result, organizations face intended and unintended technology-related changes across all business process initiatives. Using the term BP-x, we summarize the recent changes in BPM knowledge that has hitherto been fragmented across academic literature. To address the challenges of BP-x initiatives, we envision a holistic model that focuses on managing related cutting-edge technologies and BPM. Thus, we propose the operationalized BP-x management model as a valuable IT meta-artifact. We develop the model using a two-cycled Design Science Research methodology and conduct a threefold summative evaluation. The results of our study indicate that creating awareness of potentials and opportunities accelerates the process toward action and fosters new business outcomes in terms of performance and innovation. By strategically aligning BP-x endeavors, organizations promote visibility, shared understanding, and culture among stakeholders. Our model guides managers throughout the BP-x adoption journey in conjunction with organizational, managerial, and technological prerequisites.