Algorithmic management and human-centered task design: a conceptual synthesis from the perspective of action regulation and sociomaterial systems theory.

This paper aims to explain potential psychological effects of algorithmic management (AM) on human-centered task design and with that also workers' mental well-being. For this, we link research on algorithmic management (AM) with Sociomaterial System Theory and Action Regulation Theory (ART). Our main assumption is that psychological effects of sociomaterial systems, such as AM, can be explained by their impact on human action. From the synthesis of the theories, mixed effects on human-centered task design can be derived: It can be expected that AM contributes to fewer action regulation opportunities (i.e., job resources like job autonomy, transparency, predictability), and to lower intellectual demands (i.e., challenge demands like task complexity, problem solving). Moreover, it can be concluded that AM is related with more regulation problems (i.e., hindrance demands like overtaxing regulations) but also fewer regulation problems (like regulation obstacles, uncertainty). Based on these considerations and in line with the majority of current research, it can be assumed that the use of AM is indirectly associated with higher risks to workers' mental well-being. However, we also identify potential positive effects of AM as some stressful and demotivating obstacles at work are often mitigated. Based on these considerations, the main question of future research is not whether AM is good or bad for workers, but rather how work under AM can be designed to be humane. Our proposed model can guide and support researchers and practitioners in improving the understanding of the next generation of AM systems.

How are companies going to business digitalization? An explanation based on the implementation of e-commerce with data of SMEs.

The data presented in this article is based on a questionnaire survey regarding e-commerce and business digitalization of SMEs in Mexico answered by the CEOs of the companies. A valid sample of 4121 Mexican SMEs was collected covering many industries, such as primary sector, extractive industries, manufacturing industries, energy, water, recycling, construction, trade, services, and others. The data includes information about the implementation of e-commerce, business digitalization, operational efficiency, corporate performance, and other demographic indicators of the sampling firms. The link between e-commerce and corporate performance is still underexplored in SMEs, even more so between companies from Latin America, being Mexico a perfect example to explore how different SMEs adapt and thrive due to the rapid growth of their e-commerce and the diversity of their business sectors (Santos-Jaén et al., 2023 [2]). Data analysis was conducted using SPSS and Smart PLS. The data are useful as the data can be reproduced, reused and reanalyzed paying special attention to group-specific effects. This data article also opens up better research opportunities going forward through collaboration with other researchers.

Unleashing global opportunities: Exploring the digitalization journey of small and medium-sized enterprises in China and Sri Lanka's thriving E-commerce landscapes.

This study compares hindering and fostering factors for SMEs in China and Sri Lanka in their internationalization efforts through e-commerce. The study uses qualitative research methods to examine how SMEs in both countries utilize e-commerce platforms for global expansion. Narrative and thematic analysis techniques focus on manufacturing sector SMEs actively engaged in global expansion through e-commerce. Purposive sampling is used to select participants. The findings reveal shared patterns and distinctive characteristics in the digital transformation of SMEs. Chinese SMEs benefit from product popularity and advanced technologies, while Sri Lankan SMEs face challenges accessing financial resources and advanced technologies. Perspectives on innovation and regulatory/cross-cultural considerations vary. Supportive government policies and infrastructure are crucial for SME internationalization. The research provides insights for policymakers, researchers, and practitioners to enhance SME development and promote cross-national collaborations in the digital era.

[Digital health applications-What we should know as rheumatologists]. / Digitale Gesundheitsanwendungen ­ was sollten wir als Rheumatolog:innen wissen.

Digital health applications (DHAs) are revolutionising patient care by improving access to evidence-based therapy and promoting active self-management. The continuously growing number of DHAs enables patients to act more independently through digital support. The budget-neutral prescription and cost coverage by statutory health insurance companies reduce financial barriers for practitioners and patients. Initial studies show that DHAs can be used successfully to treat comorbidities and rheumatic diseases. Several DHAs for inflammatory rheumatic diseases are at an advanced stage of development. The identification of suitable patients and support through shared decision making are crucial for successful implementation. Challenges remain in adherence and acceptance of the applications. This article provides an overview of prescription in clinical routine, initial data and experiences from the reality of rheumatology care, and reports on current developments.

Assessing the Relationship between Hospital Process Digitalization and Hospital Quality - Evidence from Germany.

Hospital digitalization aims to increase efficiency, reduce costs, and/ or improve quality of care. To assess a digitalization-quality relationship, we investigate the association between process digitalization and process and outcome quality. We use data from the German DigitalRadar (DR) project from 2021 and combine these data with two process (preoperative waiting time for osteosynthesis and hip replacement surgery after femur fracture, n = 516 and 574) and two outcome quality indicators (mortality ratio of patients hospitalized for outpatient-acquired pneumonia, n = 1,074; ratio of new decubitus cases, n = 1,519). For each indicator, we run a univariate and a multivariate regression. We measure process digitalization holistically by specifying three models with different explanatory variables: (1) the total DR-score (0 (not digitalized) to 100 (fully digitalized)), (2) the sum of DR-score sub-dimensions' scores logically associated with an indicator, and (3) sub-dimensions' separate scores. For the process quality indicators, all but one of the associations are insignificant. A greater DR-score is weakly associated with a lower mortality ratio of pneumonia patients (p < 0.10 in the multivariate regression). In contrast, higher process digitalization is significantly associated with a higher ratio of decubitus cases (p < 0.01 for models (1) and (2), p < 0.05 for two sub-dimensions in model (3)). Regarding decubitus, our finding might be due to better diagnosis, documentation, and reporting of decubitus cases due to digitalization rather than worse quality. Insignificant and inconclusive results might be due to the indicators' inability to reflect quality variation and digitalization effects between hospitals. For future research, we recommend investigating within hospital effects with longitudinal data.

Quality Assessment of Reconstructed Cow, Camel and Mare Milk Powders by Near-Infrared Spectroscopy and Chemometrics.

Milk powders are becoming a major attraction for many industrial applications due to their nutritional and functional properties. Different types of powdered milk, each with their own distinct chemical compositions, can have different functionalities. Consequently, the development of rapid monitoring methods is becoming an urgent task to explore and expand their applicability. Lately, there is growing emphasis on the potential of near-infrared spectroscopy (NIRS) as a rapid technique for the quality assessment of dairy products. In the present work, we explored the potential of NIRS coupled with chemometrics for the prediction of the main functional and chemical properties of three types of milk powders, as well as their important processing parameters. Mare, camel and cow milk powders were prepared at different concentrations (5%, 10% and 12%) and temperatures (25 °C, 40 °C and 65 °C), and then their main physicochemical attributes and NIRS spectra were analyzed. Overall, high accuracy in both recognition and prediction based on type, concentration and temperature was achieved by NIRS-based models, and the quantification of quality attributes (pH, viscosity, dry matter content, fat content, conductivity and individual amino acid content) also resulted in high accuracy in the models. R2CV and R2pr values ranging from 0.8 to 0.99 and 0.7 to 0.98, respectively, were obtained by using PLSR models. However, SVR models achieved higher R2CV and R2pr values, ranging from 0.91 to 0.99 and 0.80 to 0.99, respectively.

Fracturing the affordance space: an account of digitalized alienation.

This paper investigates the lived experience of alienation as a form of mental strife or pathology as it is connected to the digitalization of modern life. To do so, I deploy the concept of affordances from ecological psychology, phenomenology, and embodied cognition. I propose an affordance-based model for understanding digitalized alienation. First, I argue that the lived sense of alienation is best understood as a fracturing of the affordance space, where possibilities for action are lived as disconnected from one another and therefore from one's personal development and search for meaning. Using this model, I show how the process of digitalization can lead to a lived sense of alienation for modern subjects. On this model, digitalization is alienating insofar as it fractures the affordance space into disconnected fields that invite determinate, separate, and repeatable tasks-swiping, clicking, scrolling, etc.-rather than offering opportunities for the development of new cognitive and bodily skills that are mutually informing and enriching across different affordance fields.

Exploring Acceptability, Barriers, and Facilitators for Digital Health in Dermatology: Qualitative Focus Groups With Dermatologists, Nurses, and Patients.

BACKGROUND: Although several digital health interventions (DHIs) have shown promise in the care of skin diseases their uptake in Germany has been limited. To fully understand the reasons for the low uptake, an in-depth analysis of patients' and health care providers' barriers and facilitators in dermatology is needed. OBJECTIVE: The objective of this study was to explore and compare attitudes, acceptability, barriers, and facilitators of patients, dermatologists, and nurses toward DHIs in dermatology. METHODS: We conducted 6 web-based focus groups each with patients (n=34), dermatologists (n=30), and nurses (n=30) using a semistructured interview guide with short descriptions of DHIs described in the literature. A content analysis was performed using deductive constructs, following the unified theory of acceptance and use of technology framework, and inductive categories. RESULTS: Patients identified many positive performance expectancies, such as reduced travel times and improvement in follow-up appointments. Dermatologists also stated positive effects (eg, promotion of standardized care), but also negative implications of health care digitalization (eg, increased workload). All stakeholders reported that a DHI should bring additional value to all stakeholders. A lack of digital competence among patients was identified as the major barrier to adoption by all 3 groups. Nurses and dermatologists want apps that are easy to use and easy to implement into their daily routines. Trust in selected institutions, colleagues, and physicians was identified as a facilitator. Patients reported their dependence on the dermatologists' acceptance. All groups expressed concerns about data privacy risks and dermatologists stated insecurities toward data privacy laws. CONCLUSIONS: To ensure successful digitalization in dermatology, apps should be user-friendly, adapted to users' skill levels, and beneficial for all stakeholders. The incorporation of dermatologists' perspectives is especially important as their acceptance may impact use among patients and nurses. DHIs should ensure and be transparent about data privacy. The found barriers and facilitators can be used for implementation strategies.

The Digital Platform and Its Emerging Role in Decentralized Clinical Trials.

Decentralized clinical trials (DCTs) are becoming increasingly popular. Digital clinical trial platforms are software environments where users complete designated clinical trial tasks, providing investigators and trial participants with efficient tools to support trial activities and streamline trial processes. In particular, digital platforms with a modular architecture lend themselves to DCTs, where individual trial activities can correspond to specific platform modules. While design features can allow users to customize their platform experience, the real strengths of digital platforms for DCTs are enabling centralized data capture and remote monitoring of trial participants and in using digital technologies to streamline workflows and improve trial management. When selecting a platform for use in a DCT, sponsors and investigators must consider the specific trial requirements. All digital platforms are limited in their functionality and technical capabilities. Integrating additional functional modules into a central platform may solve these challenges, but few commercial platforms are open to integrating third-party components. The lack of common data standardization protocols for clinical trials will likely limit the development of one-size-fits-all digital platforms for DCTs. This viewpoint summarizes the current role of digital platforms in supporting decentralized trial activities, including a discussion of the potential benefits and challenges of digital platforms for investigators and participants. We will highlight the role of the digital platform in the development of DCTs and emphasize where existing technology is functionally limiting. Finally, we will discuss the concept of the ideal fully integrated and unified DCT and the obstacles developers must address before it can be realized.

Systematic development of a patient-reported ONCOlogical-ROUTinE-Screening (ONCO-ROUTES) procedure at the University Cancer Center Regensburg.

PURPOSE: The evaluation of treatment success and progression in oncology patient-reported outcomes (PROs) is playing an increasingly important role. Meanwhile, PROs are a component of the certification requirements of the German Cancer Society for oncology centers. PROs are used to provide supportive therapy. There is currently no instrument that fully covers the requirements. At the University Hospital Regensburg (UKR), a digital ONCOlogical-ROUTinE-Screening (ONCO-ROUTES) procedure was developed in order to assess the need for supportive therapy in a standardized way and to provide patients with supportive interventions tailored to their needs. METHODS: On the basis of current requirements and guidelines, the development of ONCO-ROUTES was supported by experts in focus groups and interviews, and digitalization was carried out in connection with the IT infrastructure. RESULTS: A Needs-based, Quality-of-life (QoL) and Symptoms Screening (NQS2) tool already established in the routine at the UKR was further developed into ONCO-ROUTES, which is made up of the domains therapy phase, nutrition, tobacco use, alcohol use, quality of life, general condition/functional status, physical activity, psychooncology, social services, and further support needs. By linking the digitized questionnaire to the hospital information system, the results are available for immediate use in routine operations and thus for the referral of patients for further supportive therapy. CONCLUSION: The digital PRO application ONCO-ROUTES is designed to involve patients in monitoring additional supportive needs and thus, improves supportive interdisciplinary treatment.

[Legal aspects in digital cardiology]. / Rechtliche Aspekte in der digitalen Kardiologie.

Digital assistants have become an indispensable tool in modern cardiology. The associated technological progress offers a significant potential to increase the efficiency of medical processes, enable more precise diagnoses in a shorter time, and thus improve patient care. However, the integration of digital assistants into clinical cardiology also raises new challenges and questions, particularly regarding the handling of legal issues. This review article aims to raise awareness of individual legal issues resulting from the use of digital technologies in cardiology. The focus is on how to deal with various legal challenges that cardiologists face, including issues related to treatment freedom, professional confidentiality and data protection. The integration of digital assistants in cardiology leads to a noticeable improvement in efficiency and quality of patient care, but at the same time, it involves a variety of legal challenges that need to be carefully addressed.

Moving toward sustainable goals 7 and 13: An inclusive mechanism to achieve environmental sustainability through digitalization and energy transition in OECD countries.

In line with Sustainable Development Goals (SDGs) 7 and 13, this study proposes a policy framework while considering digitalization as a critical tool in shaping the energy transition process to attain environmental suitability in OECD countries. The study employed multifaceted empirical techniques, including Method of Moment Quantile Regression (MMQR), Fully Modified Ordinary Least Squares (FMOLS), and Dumitrescu and Hurlin (D-H), augmented with robustness tests over the period 2000 to 2021. The results indicate that digitalization augments energy transition and green finance to attain environmental sustainability. However, moving toward higher quantiles (4th, 6th, and 8th), the total impact of energy transition and digitalization is diminished. Besides that, a bidirectional causal relationship was reported running from green finance and digitalization to greenhouse gas (GHG) emissions. This study offers a detailed policy framework while considering SDGs 7 and 13.

[Digital remote monitoring of chronic retinal conditions-A clinical future tool? : Remote monitoring of chronic retinal conditions]. / Digitale Telemedizin zur Überwachung chronischer Netzhauterkrankungen ­ ein klinisches Werkzeug für die Zukunft? : Fernüberwachung chronischer Netzhauterkrankungen.

BACKGROUND: In view of the predicted increase in incidence and prevalence of chronic retinal diseases and undersupply of care in the population, telemedicine could contribute to reducing access barriers to healthcare and improving the results of treatment. OBJECTIVE: A literature review on remote monitoring of chronic retinal diseases was carried out. MATERIAL AND METHODS: The medical literature was searched for publications on remote monitoring of chronic retinal diseases. The results were compiled in a narrative overview. RESULTS: The four main topics in the literature are: validation studies, implementation strategies, acceptance/target group analyses and health economic analyses. Remote monitoring systems are based on visual function tests, imaging or patient reports and have been particularly investigated in age-related macular degeneration (AMD) and diabetic eye disease (DED). Studies indicate positive effects regarding an optimization of clinical care and a favorable safety profile but randomized controlled trials are lacking for the majority of monitoring tools. CONCLUSION: Remote monitoring could complement existing care structures for patients with chronic retinal diseases, especially AMD and DED. Promising systems are based on hyperacuity or optical coherence tomography, while patient-reported data are not commonly used; however, there is currently insufficient evidence justifying the use of remote monitoring systems in chronic retinal diseases in Europe and more research on the validation of remote monitoring systems is needed.

Deep integration of low-cost liquid handling robots in an industrial pharmaceutical development environment.

The pharmaceutical industry is increasingly embracing laboratory automation to enhance experimental efficiency and operational resilience, particularly through the integration of automated liquid handlers (ALHs). This paper explores the integration of the low-cost Opentrons OT-2 liquid handling robot with F. Hoffmann-La Roche AG's in-house workflow orchestration software, AutoLab, to overcome barriers to lab automation. By leveraging the OT-2's development-oriented interfaces and AutoLab's modular architecture, we achieved a user-friendly, cost-efficient, and flexible automation solution that aligns with FAIR (findable, accessible, interoperable, reusable) data principles. We demonstrate an advanced workflow development methodology, utilizing the software architecture, that facilitates the creation of two flexible pipetting protocols and medium complexity assays. This deep integration approach diminishes the learning curve for novice users while simultaneously enhancing the overall efficiency and reliability of the experimental workflow. Our findings suggest that such integrations can significantly mitigate the challenges associated with lab automation, including cost, complexity, and adaptability, paving the way for more accessible and robust automated systems in pharmaceutical research.

Government digitalization and its influence on government functions transformation adopting a Structural Functionalism perspective: Evidence from county-level governments in China.

A proactive and innovative approach to government digital reform is necessary to ad-dress potential explanations for the sustained influence of government digitalization, thereby optimizing the behavior and performance of government functions transformation. This study constructs a theoretical framework for understanding the driving mechanisms of government digitalization on government functions transformation from a Structural Functionalism perspective. Based on subdividing government digitalization into four dimensions and government functions transformation into two dimensions, a survey questionnaire with high validity and reliability was compiled and distributed. Utilizing Structural Equation Model, the study investigated the driving mechanisms of government digitalization on government functions transformation and their spatial variations as follows: (1) Digitalization Planning underscores its decisive role in local government functions transformation. (2) Digitalization Technology has a substantial direct impact on Digitalization Platform. (3) Digitalization Policy directly affects Digitalization Platform, behavior, and performance of government functions transformation. (4) Digitalization Platform exerts the most direct impact on government functions transformation. Additionally, the driving mechanisms of government digitalization on government functions transformation exhibit both commonalities and differences across the East, Center, and West of China.

Revolutionizing construction: A cutting-edge decision-making model for artificial intelligence implementation in sustainable building projects.

This study examines how certain artificial intelligence (AI) drivers affect the industry's adoption of this technology in the construction industry. The research methods comprised a comprehensive analysis of previous studies to pinpoint the primary factors influencing AI adoption in the construction industry. Data collection was carried out through a well-structured survey involving relevant stakeholders in the building construction sector. The three main constructs of technological devices, advancement, and knowledge were found from the set of drivers with the technique of exploratory factor analysis. The deployment of AI in construction has the potential to improve health and safety and expedite project completion, as this research has evaluated. To figure out how these factors relate to the adoption of AI in the construction industry, partial least squares structural equation modeling was used. The study's conclusions showed that the influence of AI installation in the construction industry is reasonably significant thanks to the technology, advancement, and knowledge, contributing around 15 % of the effects that have been directly witnessed. The practical implications of AI for policy makers, engineers, and construction stakeholders are extensive and provide valuable insights for customized strategies aimed at using AI's potential to improve projects, promote sustainability, and elevate health and safety standards.

Early detection of students' mental health issues from a traditional daily health observation scheme in Japanese schools and its digitalization.

Objective: The implementation of school-based mental health screening offers promise for early detection of mental health issues in children; however, various barriers hinder its widespread adoption. This study aimed to investigate the predictive value of digital data obtained from an established daily health observation scheme in Japanese schools to identify later mental health issues in children. Methods: Data for the analysis were obtained from 2,433 students enrolled in five public schools. The data acquisition period spanned 76 school days, from September 1, 2022, to December 23, 2022, and student absences were recorded during this period. Depressive and anxiety symptoms were assessed in January 2023. The students' daily physical and emotional health status was recorded as "daily health issue" scores and group-based trajectory modeling was employed to classify the long-term trends in these scores. Additionally, rolling z-scores were utilized to capture variability in daily health issue scores, with z-scores above +1 considered unusual responses. Results: After 4 months of daily health observations, students' response trends were classified into five trajectory groups. The group experiencing the highest number of daily health issues (Group 5; 5.4% of the sample) exhibited more subsequent depressive and anxiety symptoms compared to the group with fewer issues (Group 1; 47.5%) (incident rate ratio [IRR] = 5.17; 95% confidence interval [CI]: 3.82, 6.99). Group 5 also demonstrated significantly more days of absence than Group 1 (IRR = 2.14, 95% CI: 1.19, 3.85). The average daily health issue scores for the entire period were associated with both depressive/anxiety symptoms and the number of days absent from school (IRR = 1.59, 95% CI: 1.45, 1.73; IRR = 1.18, 95% CI: 1.04, 1.35, respectively). Furthermore, a higher number of unusual responses during the entire period was also associated with more depressive/anxiety symptoms (IRR = 1.10, 95% CI: 1.07, 1.12). Conclusion: The current study is the first to demonstrate the predictive capability of a traditional daily health observation scheme to identify mental health issues in children. This study highlights the scheme's potential to screen and safeguard children's mental health, emphasizing the importance of digitalization and collaboration with various stakeholders.

From Digital Inclusion to Digital Transformation in the Prevention of Drug-Related Deaths in Scotland: Qualitative Study.

BACKGROUND: Globally, drug-related deaths (DRDs) are increasing, posing a significant challenge. Scotland has the highest DRD rate in Europe and one of the highest globally. The Scottish Government launched the Digital Lifelines Scotland (DLS) program to increase the provision of digital technology in harm reduction services and other support services. Digital technology responses to DRDs can include education through digital platforms, improved access to treatment and support via telehealth and mobile apps, analysis of data to identify risk factors, and the use of digital tools for naloxone distribution. However, digital technology should be integrated into a comprehensive approach that increases access to services and addresses underlying causes. Digital transformation could enhance harm reduction service and support, but challenges must be addressed for successful implementation. The DLS program aims to enhance digital inclusion and improve health outcomes for people who use or are affected by drug use to reduce the risk of DRDs. OBJECTIVE: This study aims to explore the role of digital technology as an enabler and supporter in enhancing existing services and innovating new solutions, rather than being a stand-alone solution. Specifically focusing on individuals who use drugs, the research investigates the potential of digital inclusion and technology provision for preventing DRDs within the context of the DLS program. METHODS: Semistructured interviews were conducted with 47 people: 21 (45%) service users, 14 (30%) service providers, and 12 (26%) program staff who were all involved in DLS. Interviews were audio recorded, transcribed, and then coded. Analysis was done in three phases: (1) thematic analysis of interview data to identify the benefits of digital technologies in this sector; (2) identification of the challenges and enablers of using digital technologies using the Technology, People, Organizations, and Macroenvironment conceptual framework; and (3) mapping digital technology provision to services offered to understand the extent of digital transformation of the field. RESULTS: Participants identified increased connectivity, enhanced access to services, and improved well-being as key benefits. Digital devices facilitated social connections, alleviated loneliness, and fostered a sense of community. Devices enabled engagement with services and support workers, providing better access to resources. In addition, digital technology was perceived as a preventive measure to reduce harmful drug use. Lack of technical knowledge, organizational constraints, and usability challenges, including device preferences and security issues, were identified. CONCLUSIONS: The study found that digital inclusion through the provision of devices and connections has the potential to enhance support in the harm reduction sector. However, it highlighted the limitations of existing digital inclusion programs in achieving comprehensive digital transformation. To progress, there is a need for sustained engagement, cultural change, and economic considerations to overcome barriers.

The Impact of Digital Technology on the Physical Health of Older Workers: Protocol for a Scoping Review.

BACKGROUND: Digital technologies have penetrated most workplaces. However, it is unclear how such digital technologies affect the physical health of older workers. OBJECTIVE: This scoping review aims to examine and summarize the evidence from scientific literature concerning the impact of digital technology on the physical health of older workers. METHODS: This scoping review will be conducted following recommendations outlined by Levac et al and will adhere to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews) guidelines for reporting. Peer-reviewed papers written in English will be searched in the following databases: MEDLINE, Cochrane, ProQuest, Web of Science, Scopus, APA PsycInfo, and ERIH PLUS. The web-based systematic review platform Covidence will be used to create a data extraction template. It will cover the following items: study and participant characteristics, health measures, digital tool characteristics and usage, and research findings. Following the Population, Concept, and Context (PCC) framework, our review will focus on studies involving older workers aged 50 years or older, any form of digital technology (including teleworking and the use of digital tools at work), and how digital technologies affect physical health (such as vision loss, musculoskeletal disorders, and migraines). Studies that focus only on mental health will be excluded. Study selection based on title and abstract screening (first stage), full-text review (second stage), and data extraction (third stage) will be performed by a group of researchers, whereby each paper will be reviewed by at least 2 people. Any conflict regarding the inclusion or exclusion of a study and the data extraction will be resolved by discussion between the researchers who evaluated the papers; a third researcher will be involved if consensus is not reached. RESULTS: A preliminary search of MEDLINE, Epistemonikos, Cochrane, PROSPERO, and JBI Evidence Synthesis was conducted, and no current or ongoing systematic reviews or scoping reviews on the topic were identified. The results of the study are expected in April 2025. CONCLUSIONS: Our scoping review will seek to provide an overview of the available evidence and identify research gaps regarding the effect of digital technology and the use of digital tools in the work environment on the physical health of older workers. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/59900.

Digital transformation and organizational restlessness.

In modern society, organizations are expected to be increasingly flexible and adapt to constantly changing environments. While such flexibility is often considered a positive trait of organizations, the risks of continuous organizational change are often overlooked. Against this background, we argue that continuous, multiple and uncoordinated organizational change can lead to a state we define as "organizational restlessness" and a loss of the benefits of stable structures. Paradoxically, it is even possible that organizational restlessness reduces the capability of organizations to planfully introduce specific and highly desirable changes, such as those related to digital transformation. Using qualitative data from interviews and participant observations, we analyze a large German public administration and identify three sources of organizational restlessness: the innovation imperative of modern society, changes in political leadership as a result of democratic elections and the bureaucratic principle of personnel rotation. While barriers to digital transformation are often explained by bureaucratic rigidity, we show that also constant uncoordinated change hinders sustainable digital transformation. Our paper thus contributes to an enhanced understanding of organizational continuity and disruption, as we show that both are needed to digitalize organizations further.