Characterization of adults concerning the use of a hypothetical mHealth application addressing stress-overeating: an online survey

BACKGROUND

About 40% of people respond to stress by consuming more unhealthy foods. This behavior is associated with increased energy intake and the risk of obesity. As mobile health (mHealth) applications (apps) have been shown to be an easy-to-use intervention tool, the characterization of potential app users is necessary to develop target group-specific apps and to increase adherence rates.

METHODS

This cross-sectional online survey was conducted in the spring of 2021 in Germany. Sociodemographic data and data on personality (Big Five Inventory, BFI-10), stress-eating (Salzburg Stress Eating Scale, SSES), and technology behavior (Personal Innovativeness in the Domain of Information Technology, PIIT; Technology Acceptance Model 3, TAM 3) were collected.

RESULTS

The analysis included 1228 participants (80.6% female, mean age: 31.4 ± 12.8 years, mean body mass index (BMI): 23.4 ± 4.3 kg/m2). Based on the TAM score, 33.3% (409/1228) of the participants had a high intention to use a hypothetical mHealth app to avoid stress-overeating. These persons are characterized by a higher BMI (24.02 ± 4.47 kg/m2, p < 0.001), by being stress-overeaters (217/409, 53.1%), by the personality trait "neuroticism" (p < 0.001), by having specific eating reasons (all p < 0.01), and by showing a higher willingness to adopt new technologies (p < 0.001).

CONCLUSION

This study suggests that individuals who are prone to stress-overeating are highly interested in adopting an mHealth app as support. Participants with a high intention to use an mHealth app seem to have a general affinity towards new technology (PIIT) and appear to be more insecure with conflicting motives regarding their diet.

TRIAL REGISTRATION

This survey was registered in the German Clinical Trials Register (Registration number: DRKS00023984).

Advantages and disadvantages of mobile applications for workplace health promotion: A scoping review

Different interventions and methods are used for workplace health promotion (WHP) programmes, including mobile applications (apps), which have proven effective among different health outcomes if properly communicated and developed. However, knowledge is lacking on the potential advantages and disadvantages of using this technology for WHP compared with nontechnical WHP programmes to support employers in their decision making and effective development of such an intervention. To obtain an overview of factors that decision-makers should consider when deciding whether to implement an WHP app, we conducted a scoping review of studies that have evaluated WHP apps. Potential advantages and disadvantages of using mobile apps for WHP were summarised using a strengths, weaknesses, opportunities and threats (SWOT) analysis. Articles were included if they focussed on a WHP app, were published between 2007 and 2022 in German or English, and evaluated an app for the general employee population. Altogether, 38 studies were included in the review, demonstrating WHP apps' effectiveness among various use cases in terms of content, e.g., mindfulness or sleep, and target groups, e.g., office workers, nurses or pilots. Strengths were found in the context of adoption, convenience for users, the targeted employee group's reach and cost-effectiveness. However, the review also identified some disadvantages in apps, including technical difficulties and usage barriers, as well as challenges, e.g., privacy issues and maintenance costs. Generally, our review found that different factors need to be considered when deciding whether to implement a WHP app based on the individual company situation, e.g., shift work, content to be communicated, and expectations for health parameter screening, among many others. By summarising recent literature on WHP apps, this review uses scientific knowledge to give employers an overview of potential factors to consider in their decision making.

Community indicators for mental health in Europe: a scoping review

Background

Community indicators may predict and influence individuals` mental health, and support or impede mental health management. However, there is no consensus on which indicators should be included in predictions, prognostic algorithms, or management strategies for community-based mental health promotion and prevention approaches. Therefore, this scoping review provides an overview of relevant community-level indicators for mental health in the general as well as risk populations in a European context.

Methods

We conducted a scoping review in the following electronic databases: PubMed, Embase, and PsycInfo. Eligible studies focused on context factors such as either the physical or social environment, reporting at least one mental health outcome and referring to a European population. Publications between 2012 and March 8, 2022 are considered.

Results

In total, the search yielded 12,200 identified records. After the removal of duplicates, 10,059 records were screened against the eligibility criteria. In total, 169 studies were included in the final analysis. Out of these included studies, 6% focused on pan-European datasets and 94% on a specific European country. Populations were either general or high-risk populations (56 vs. 44%, respectively) with depressive disorder as the main reported outcome (49%), followed by general mental health (33%) and anxiety (23%). Study designs were cross-sectional studies (59%), longitudinal (27%), and others (14%). The final set of indicators consisted of 53 indicators, which were grouped conceptually into 13 superordinate categories of community indicators. These were divided into the domains of the physical and social environment. The most commonly measured and reported categories of community indicators associated with mental health outcomes were social networks (n = 87), attitudinal factors toward vulnerable groups (n = 76), and the characteristics of the built environment (n = 56).

Conclusion

This review provides an evidence base of existing and novel community-level indicators that are associated with mental health. Community factors related to the physical and social environment should be routinely recorded and considered as influencing factors or potentially underestimated confounders. The relevance should be analyzed and included in clinical outcomes, data, monitoring and surveillance as they may reveal new trends and targets for public mental health interventions.

Usage of a workplace health promotion app: an evaluation of app usage data and medical check-up results

Smartphone applications (apps) have been used and evaluated in the context of workplace health promotion (WHP) programs. However, there is a lack of studies analyzing actual app usage data and measuring changes in medical markers to evaluate the effectiveness of WHP apps in terms of health improvements in practice. In this study, we evaluated data from 555 employees of an IT company who participated in a WHP program over the course of one year. Participants of the program received a medical check-up as well as a health app to understand their medical results and receive advice for a healthier lifestyle. In addition, 99 of these employees underwent a follow-up medical check-up. It was found that the smartphone app for healthy lifestyle promotion in combination with onsite medical check-ups was effective in improving various health indicators, for example, BMI, body fat, blood pressure and triglycerides. The study further identified influence factors for sustained app usage, and analyzed different usage behaviors among gender and age groups.

Prozessmodularisierung und -standardisierung als Grundlage für die Digitalisierung von Prozessen im Öffentlichen Gesundheitsdienst

Die Digitalisierung des Öffentlichen Gesundheitsdienstes (ÖGD) in Deutschland weist nach wie vor Defizite auf, was nicht zuletzt im Kontext der Pandemiebewältigung zu Problemen führte. Zur Bewältigung ihrer Aufgaben benötigen die etwa 400 deutschen Gesundheitsämtern, eine entsprechende Softwareausstattung, deren Bereitstellung auch durch die Heterogenität des ÖGD erschwert wird. Entsprechend stellt die Standardisierung und Modularisierung von Prozessen die Grundlage für eine nachhaltige Digitalisierung des ÖGD dar. Aufbauend auf diesen Prozessmodellen können geeignete und breit anwendbare Softwaremodule für diverse Aufgabenbereiche der Gesundheitsämter entwickelt und bereitgestellt werden. Die durchgeführte Studie leistet einen ersten wichtigen Beitrag im Kontext der Digitalisierung des ÖGD, indem sie eine Vorgehensweise zur Prozessstandardisierung und -modularisierung entwickelt und beispielhaft anwendet. Im Rahmen dieser Studie erfolgte eine Standardisierung und Modularisierung von Prozessen im Bereich der Wasserhygiene basierend auf den Prozessen eines Gesundheitsamtes in Berlin. In einer Kombination von Design Science Research und Business Process Standardization (BPS) wurden stakeholderübergreifende Ende-zu-Ende Prozesse identifiziert, deren Ist-Zustände mit BPMN (Business Process Model and Notation) visualisiert und anschließend in generalisierbare Soll-Zustände überführt. Die Ergebnisse wurden schließlich mit zwei weiteren Gesundheitsämtern validiert. Die angewandte Methodik und die entwickelten Artefakte können einerseits zur Skalierung dieses Vorgehens in weiteren Gesundheitsämtern und andererseits als eine Grundlage für die Entwicklung von passenden und breit anwendbaren Softwarekomponenten genutzt werden.

Stress eating: an online survey of eating behaviours, comfort foods, and healthy food substitutes in German adults

BACKGROUND

In many people, stress is associated with changes in eating behaviour. Food products consumed during stress (comfort foods) are often unhealthy. It is rather unknown what comfort foods are consumed in Germany and what healthier food products are considered as alternatives to support stress-eaters in making healthier food choices.

METHODS

This online survey was conducted in spring 2021 throughout Germany. Participants were digitally recruited by newsletters, homepages, social media, and mailing lists. The survey included a standardized questionnaire with items concerning e.g. sociodemography, stress, and nutrition. Comfort foods were pre-selected through literature search and food substitutes were defined and discussed by experts. Analyses examined comfort food consumption and substitute preferences dependent on sex, age, body mass index (BMI), and being a self-identified stress-eater. The statistical analysis was performed using R.

RESULTS

Survey participants were mostly female (80.6%, 994/1234), had a mean age of 31.4 ± 12.8 years and a mean BMI of 23.4 ± 4.3 kg/m². Participants stated, that the two favourite comfort foods were chocolate (consumed often/very often by 48.3%, 596/1234) and coffee (consumed often/very often by 45.9%, 566/1234). Regarding food substitutes, the most frequently named alternative food for chocolate and cookies was fresh fruits (for chocolate: 74.4%, 815/1096, for cookies: 62.6%, 565/902). Tea without added sugar (64.4%, 541/840) was the preferred substitute for coffee. Almost 50% of participants (48.1%, 594/1234) identified themselves as stress-eaters, of which 68.9% (408/592) stated to eat (very) often more than usual in subjective stress situations.

CONCLUSIONS

The results from this work suggest that specific comfort foods and substitutes are preferred by the participants in stressful situations. This knowledge about food choices and substitutes should be investigated in further studies to improve eating behaviour in stressful situations.

TRIAL REGISTRATION

The survey was registered in the German Register of Clinical Studies (Registration number: DRKS00023984 ).

Value of normative belief in intention to use workplace health promotion apps

BACKGROUND

Mobile applications (apps) have started to be used for workplace health promotion (WHP). However, the factors that lead to the usage of apps in the workplace from the end-user perspective remain unclear.

METHODS

To investigate the research gap, the study evaluates a model for the adoption of WHP apps by combining the theory of planned behavior, the health belief model, and the technology acceptance model. A self-administered questionnaire with validated scales among 354 participants was used to evaluate the proposed model for WHP.

RESULTS

Although the study indicated a limited overall model fit, interesting aspects were derived. In particular, the study demonstrated that normative belief (especially), perceived usefulness, and attitudinal belief play important roles in the intention to use WHP apps.

CONCLUSION

The study is among the first to validate the theoretical models of mHealth adoption for WHP. Moreover, it shows that not only normative belief but also adjustment to several target groups is a necessary factor to be considered in the development and implementation of an app for WHP.

Stress-induced hyperphagia: empirical characterization of stress-overeaters

Background

Stressful situations can have an impact on an individual’s eating behavior. People vulnerable to the influence of stress tend to change the quantity and quality of their food intake. Variables such as sex and body mass index (BMI) seem to be related to this stress-eating behavior, but it is rather unclear what factors account to the parameters associated with stress-eating behavior. The aim of this survey was to identify further characteristics of adults in Germany related to stress-overeating, focusing on stress perception, coping, eating motives and comfort foods as well as personality types.

Methods

This online survey was performed throughout Germany and comprised a 38-item pre-tested questionnaire. Stress-induced overeating was classified based on the Salzburg Stress Eating Scale (SSES). Moreover, validated questionnaires were used to identify additional characteristics of stress eaters. Participants were recruited using a convenience sampling approach, and data were collected between January and April 2021.

Results

The overall sample consisted of 1222 participants (female 80.8%, aged 31.5±12.8). 42.1% of participants were identified as stress-overeaters. Among the remaining group, 78.9% stated to eat less, 21.1% to eat equally when stressed. Female participants had a higher mean SSES score compared to male participants. The BMI was positively correlated to SSES, r(1220)=0.28, p>0.005. ‘Agreeableness’ (BigFive) was found to be a negative predictor of stress-overeating. The most pronounced difference in eating motives (The Eating Motivation Survey, TEMS) was found for ‘Affect Regulation’ and ‘Weight Control’.

Conclusions

The results indicate that stress-overeating affects a large proportion of the surveyed population. BMI, personality and eating motives additionally characterize stress-overeaters and may contribute to develop new approaches to address unhealthy stress-related eating patterns.

ProteomicsDB: toward a FAIR open-source resource for life-science research

ProteomicsDB (https://www.ProteomicsDB.org) is a multi-omics and multi-organism resource for life science research. In this update, we present our efforts to continuously develop and expand ProteomicsDB. The major focus over the last two years was improving the findability, accessibility, interoperability and reusability (FAIR) of the data as well as its implementation. For this purpose, we release a new application programming interface (API) that provides systematic access to essentially all data in ProteomicsDB. Second, we release a new open-source user interface (UI) and show the advantages the scientific community gains from such software. With the new interface, two new visualizations of protein primary, secondary and tertiary structure as well an updated spectrum viewer were added. Furthermore, we integrated ProteomicsDB with our deep-neural-network Prosit that can predict the fragmentation characteristics and retention time of peptides. The result is an automatic processing pipeline that can be used to reevaluate database search engine results stored in ProteomicsDB. In addition, we extended the data content with experiments investigating different human biology as well as a newly supported organism.

From Product Platform Ecosystem to Innovation Platform Ecosystem: An Institutional Perspective on the Governance of Ecosystem Transformations

Incumbent companies across industries such as banking, insurance, and enterprise software have begun transforming their existing product platform ecosystems into innovation platforms ecosystems to increase generativity in their ecosystems. Such ecosystem transformations not only entail technological challenges as the underlying platform technology changes but also organizational challenges in that ecosystem actors such as partners and customers need to become part of the transformed ecosystem. To study how incumbent companies can govern ecosystem transformations successfully, we interpret ecosystems as organizational fields and ecosystem transformations as changes to the fields’ institutional infrastructure. Based on a multiyear, grounded theory study of the transformation of SAP’s on-premises ERP system, we first identify institutionalization challenges that arise when institutional infrastructure is changed during an ecosystem transformation. We then show how field-level governance mechanisms address these challenges and how the new institutional infrastructure gains legitimacy among ecosystem actors, ultimately leading to the institutionalization of the transformed ecosystem. These findings contribute to the literature on ecosystem transformations and platform governance by highlighting the role that institutional forces play in ecosystem transformations. Furthermore, we add to the literature on institutional theory by providing insights into the dynamics of institutional infrastructure as it becomes infused with digital technologies.

Capabilities for value co-creation and value capture in emergent platform ecosystems: A longitudinal case study of SAP’s cloud platform

Companies across industries are shifting toward a platform ecosystem strategy. By leveraging cloud computing technologies, companies aim to benefit from collaboration with a wide range of third-party developers within emergent platform ecosystems. To succeed, these companies need to develop new organizational capabilities to co-create and capture value in platform ecosystems. To understand what capabilities are crucial to establish platform ecosystems and how they contribute to value co-creation and value capture, we conducted a multi-year, in-depth case study of SAP’s cloud platform project. We identified (1) technology-related capabilities (cloud-based platformization, open IT landscape management) and (2) relationship-driven capabilities (ecosystem orchestration, platform evangelism, platform co-selling) and illustrate how these capabilities help the platform owner to enable and balance value co-creation and value capture in an emergent platform ecosystem. With our findings, we contribute to the discussion on how companies can overcome the challenging emergent phase of platform ecosystems. We thereby bridge literature on value creation in platform ecosystems and on organizational capabilities. Though we conducted our study in the context of the enterprise software industry, we discuss how our findings apply to prospective platform owners from different contexts.

Opportunities and Challenges of Using Mobile Applications for Workplace Health Promotion

Workplace health promotion (WHP) needs be adjusted to the new ways of working and improved in terms of participation rates. As mobile applications (apps) have proved to be effective in various health areas, it might also be a solution for WHP. However, there is a lack of knowledge about the requirements employees would have on such an app for WHP. Therefore, 29 semi-structured interviews were conducted with employees and experts of an IT company. Most employees were rather positive about such an app. Concerns were stated in terms of added value and data security. Variations were found in preferred functionalities. Apps might thus be effective for WHP but would need to add value compared to apps available for private usage. Additionally, clear communication about data privacy would be expected.

ProteomicsDB: a multi-omics and multi-organism resource for life science research

ProteomicsDB (https://www.ProteomicsDB.org) started as a protein-centric in-memory database for the exploration of large collections of quantitative mass spectrometry-based proteomics data. The data types and contents grew over time to include RNA-Seq expression data, drug-target interactions and cell line viability data. In this manuscript, we summarize new developments since the previous update that was published in Nucleic Acids Research in 2017. Over the past two years, we have enriched the data content by additional datasets and extended the platform to support protein turnover data. Another important new addition is that ProteomicsDB now supports the storage and visualization of data collected from other organisms, exemplified by Arabidopsis thaliana. Due to the generic design of ProteomicsDB, all analytical features available for the original human resource seamlessly transfer to other organisms. Furthermore, we introduce a new service in ProteomicsDB which allows users to upload their own expression datasets and analyze them alongside with data stored in ProteomicsDB. Initially, users will be able to make use of this feature in the interactive heat map functionality as well as the drug sensitivity prediction, but ultimately will be able to use all analytical features of ProteomicsDB in this way.

ProteomicsDB

ProteomicsDB (https://www.ProteomicsDB.org) is a protein-centric in-memory database for the exploration of large collections of quantitative mass spectrometry-based proteomics data. ProteomicsDB was first released in 2014 to enable the interactive exploration of the first draft of the human proteome. To date, it contains quantitative data from 78 projects totalling over 19k LC–MS/MS experiments. A standardized analysis pipeline enables comparisons between multiple datasets to facilitate the exploration of protein expression across hundreds of tissues, body fluids and cell lines. We recently extended the data model to enable the storage and integrated visualization of other quantitative omics data. This includes transcriptomics data from e.g. NCBI GEO, protein–protein interaction information from STRING, functional annotations from KEGG, drug-sensitivity/selectivity data from several public sources and reference mass spectra from the ProteomeTools project. The extended functionality transforms ProteomicsDB into a multi-purpose resource connecting quantification and meta-data for each protein. The rich user interface helps researchers to navigate all data sources in either a protein-centric or multi-protein-centric manner. Several options are available to download data manually, while our application programming interface enables accessing quantitative data systematically.

How do Requirements Evolve over Time? A Case Study Investigating the Role of Context and Experiences in the Evolution of Enterprise Software Requirements

In recent years, organizations have increasingly sourced cloud-based enterprise software (ES). Although comprehensively capturing organizations’ requirements considerably affects the success of an ES sourcing project, little is known about how requirements evolve beyond the implementation. We conduct a longitudinal, exploratory single-case study of the life cycle of cloud-based ES in a medium-sized organization. Over 5 years, we trace the evolution of requirements throughout the ES life cycle, beginning with the initial adoption decision and ending with considerations to retire the ES. We develop a process theory that explains how requirements evolve beyond ES implementation and throughout its life cycle. We isolate nine mechanisms that explain how contextual factors and experiences are intertwined and shape the evolution of requirements. We then develop seven propositions that explain how sourcing cloud-based ES alters the mechanisms that shape the evolution of requirements. Our findings emphasize that the evolution of requirements for cloud-based ES follows similar mechanisms to that of the requirements for on-premises ES but changes how particular mechanisms manifest. Sourcing cloud-based ES changes the influence of business divisions in acquisition and configuration activities, the role of upgrade and customization procedures, and the influence of the ES’ ecosystem.

Informatics and Medicine

Objectives: To clarify challenges and research topics for informatics in health and to describe new approaches for interdisciplinary collaboration and education. Methods: Research challenges and possible solutions were elaborated by scientists of two universities using an interdisciplinary approach, in a series of meetings over several months. Results and Conclusion: In order to translate scientific results from bench to bedside and further into an evidence-based and efficient health system, intensive collaboration is needed between experts from medicine, biology, informatics, engineering, public health, as well as social and economic sciences. Research challenges can be attributed to four areas: bioinformatics and systems biology, biomedical engineering and informatics, health informatics and individual healthcare, and public health informatics. In order to bridge existing gaps between different disciplines and cultures, we suggest focusing on interdisciplinary education, taking an integrative approach and starting interdisciplinary practice at early stages of education.

* See more detailed authors´ affiliations at the end of the article.

Smart Glasses in Nursing - Situation Change and Further Usages Exemplified on a Wound Care Application

Smart Glasses are a promising technology that can be leveraged to improve flexible service processes. Especially in the field of nursing where practitioners are facing complex tasks and challenges. Introducing such pervasive computing devices in service processes may have both positive and negative consequences. This leads us to the following research questions: How does the usage of the Smart Glass applications change the caring situation? Which ideas for future usage of Smart Glasses do nurses have? To answer these questions we followed a design science research approach to design a prototype for support of wound care management in nursing. We evaluated the prototype in a real life situation. Five nurses used the application in a real world setting to perform a wound documentation. Afterwards, we conducted semi-structured interviews with the nurses. The intent of the interviews was not only to get information on the current prototype, but to generate knowledge about dimensions of changing the caring situation which should be considered further. The nurses gave the application an overall positive evaluation. They stated that they would expect an improvement of the quality of the wound documentation when using the device. In addition, they mentioned a change in the communication structure with the patient would be necessary. Furthermore, opinions regarding further use cases did differ.

Ontology for Semantic Data Integration in the Domain of IT Benchmarking

A domain-specific ontology for IT benchmarking has been developed to bridge the gap between a systematic characterization of IT services and their data-based valuation. Since information is generally collected during a benchmark exercise using questionnaires on a broad range of topics, such as employee costs, software licensing costs, and quantities of hardware, it is commonly stored as natural language text; thus, this information is stored in an intrinsically unstructured form. Although these data form the basis for identifying potentials for IT cost reductions, neither a uniform description of any measured parameters nor the relationship between such parameters exists. Hence, this work proposes an ontology for the domain of IT benchmarking, available at https://w3id.org/bmontology. The design of this ontology is based on requirements mainly elicited from a domain analysis, which considers analyzing documents and interviews with representatives from Small- and Medium-Sized Enterprises and Information and Communications Technology companies over the last eight years. The development of the ontology and its main concepts is described in detail (i.e., the conceptualization of benchmarking events, questionnaires, IT services, indicators and their values) together with its alignment with the DOLCE-UltraLite foundational ontology.

Measuring and mapping the emergence of the digital economy: a comparison of the market capitalization in selected countries

Purpose

The purpose of this paper is to develop a method to quantify the digital economy using a representative measurement approach and use it to analyze the USA, Germany, the Republic of Korea and Sweden.

Design/methodology/approach

The research approach of this paper is based on a developed methodology to identify firms of the digital economy by measuring the market capitalization of selected countries in comparison over time using financial databases.

Findings

Comparing the market capitalization of the digital economy, the USA lead both in absolute as well as in relative terms. The 11 firms with the largest market capitalization are all American. For Germany, the results show that policy measures should be undertaken to ameliorate competitiveness in the field.

Research limitations/implications

This current measurement only includes public firms. An interesting avenue for future research would be to transfer the approach to investigate private firms.

Originality/value

Previous research has focused on comparing information and communication technologies adoption and infrastructure as well as innovation hubs between countries. The authors are not aware of any paper to date which has compared market capitalization in the digital economy between countries using a representative sample. This paper offers a research approach to measure and compare the digital economy between countries. The methodology could be applied to other countries which seek to benchmark their performance and derive policy measures to be able to compete with jurisdictions leading in the digital economy.

WESSBAS: extraction of probabilistic workload specifications for load testing and performance prediction-a model-driven approach for session-based application systems

The specification of workloads is required in order to evaluate performance characteristics of application systems using load testing and model-based performance prediction. Defining workload specifications that represent the real workload as accurately as possible is one of the biggest challenges in both areas. To overcome this challenge, this paper presents an approach that aims to automate the extraction and transformation of workload specifications for load testing and model-based performance prediction of session-based application systems. The approach (WESSBAS) comprises three main components. First, a system- and tool-agnostic domain-specific language (DSL) allows the layered modeling of workload specifications of session-based systems. Second, instances of this DSL are automatically extracted from recorded session logs of production systems. Third, these instances are transformed into executable workload specifications of load generation tools and model-based performance evaluation tools. We present transformations to the common load testing tool Apache JMeter and to the Palladio Component Model. Our approach is evaluated using the industry-standard benchmark SPECjEnterprise2010 and the World Cup 1998 access logs. Workload-specific characteristics (e.g., session lengths and arrival rates) and performance characteristics (e.g., response times and CPU utilizations) show that the extracted workloads match the measured workloads with high accuracy.

Risk Profiles in Individual Software Development and Packaged Software Implementation Projects

The aim of this paper is to compare risk profiles of individual software development (ISD) and packaged software implementation (PSI) projects. While researchers have investigated risks in either PSI projects or ISD projects, an integrated perspective on how the risk profiles of these two types of information system (IS) projects differ is missing. To explore these differences, this work conducted a Delphi study at a German-based financial services company. The results suggest that: First, ISD projects seem to be more heterogeneous and face a larger variety of risks than the more straightforward PSI projects. Second, ISD projects seem to be particularly prone to risks related to sponsorship, requirements, and project organization. Third, PSI projects tend to be predominantly subject to risks related to technology, project planning, and project completion. Finally, in contrast to available lists of risks in IS projects and irrespective of the project type, the paper found a surprisingly high prominence of technology and testing-related risks.

Determinants of physicians' technology acceptance for e-health in ambulatory care

BACKGROUND

Germany is introducing a nation-wide telemedicine infrastructure that enables electronic health services. The project is facing massive resistance from German physicians, which has led to a delay of more than five years. Little is known about the actual burdens and drivers for adoption of e-health innovations by physicians.

OBJECTIVE

Based on a quantitative study of German physicians who participated in the national testbed for telemedicine, this article extends existing technology acceptance models (TAM) for electronic health (e-health) in ambulatory care settings and elaborates on determinants of importance to physicians in their decision to use e-health applications.

METHODS

This study explores the opinions, attitudes, and knowledge of physicians in ambulatory care to find drivers for technology acceptance in terms of information technology (IT) utilization, process and security orientation, standardization, communication, documentation and general working patterns. We identified variables within the TAM constructs used in e-health research that have the strongest evidence to determine the intention to use e-health applications.

RESULTS

The partial least squares (PLS) regression model from data of 117 physicians showed that the perceived importance of standardization and the perceived importance of the current IT utilization (p<0.01) were the most significant drivers for accepting electronic health services (EHS) in their practice. Significant influence (p<0.05) was shown for the perceived importance of information security and process orientation as well as the documentation intensity and the e-health-related knowledge.

CONCLUSIONS

This study extends work gleaned from technology acceptance studies in healthcare by investigating factors which influence perceived usefulness and perceived ease of use of e-health services. Based on these empirical findings, we derive implications for the design and introduction of e-health services including suggestions for introducing the topic to physicians in ambulatory care and incentive structures for using e-health.

Bundling Processes Between Private and Public Organizations

Businesses are aching under the burdens entailed by public reporting duties while public administrations are faced with rising cost pressures. Fostered by the diffusion and maturation of information technology, businesses put forth growing demands in regard to the quality, integration and usability of public services. An effective means of meeting these challenges is through the identification and bundling of processes caused by reporting duties. Incorporating corresponding concepts from the business sector, to the authors develop an approach for process bundling tailored to public organizations. The authors demonstrate the approach on waste management reporting duties. This paper provides guidance for practitioners striving to optimize information flows and reduce redundancies within B2G contacts. As a result, both public administrations and businesses benefit from a more straightforward and cost-efficient provision of public services.

From ERP to Enterprise Service-Oriented Architecture

This chapter provides an overview of past and present development in technical platforms of ERP systems and its use in enterprises. Taking into consideration the two layers of application and technology, we present the classical scenario of an ERP system as a monolithic application block. As the demands of modern enterprise software cannot be met by this concept, the shift to a more flexible architecture like the service-oriented architecture (SOA) is the current status quo of modern companies. Keeping in mind the administrative complexity of such structures, we will discuss the new idea of business Webs. The purpose of our chapter is, on the one hand, to show the historical development of ERP system landscapes and, on the other hand, to show the comparison of the presented concepts with respect to application and technology view.