Integrated system of occupational safety and health and fire protection of the fire rescue brigades members

The objective of the conducted research is the identification and determination of requirements of members of fire rescue brigades during operations in the conditions of high risk in order to minimize the possibilities for injury incidence during the intervention. The research is focused on examination, determination and identification of factors affecting the increasing number of occupational injuries of members of fire rescue brigades during interventions. Hypothetical framework of the research problem consists of general hypothesis and six special hypotheses. Results suggest that almost all respondents believe that their skills and abilities are applicable in the intervention phase, but less than a half believe that their skills are applicable in prevention phase. Two-thirds of respondents stated that in their organization they have support for further education and upgrading while a half of respondents stated that they need education concerning identification, assessment and management of risks that can lead to emergency situations.     

A web-based system architecture for ontology-based data integration in the domain of IT benchmarking

In the domain of IT benchmarking (ITBM), a variety of data and information are collected. Although these data serve as the basis for business analyses, no unified semantic representation of such data yet exists. Consequently, data analysis across different distributed data sets and different benchmarks is almost impossible. This paper presents a system architecture and prototypical implementation for an integrated data management of distributed databases based on a domain-specific ontology. To preserve the semantic meaning of the data, the ITBM ontology is linked to data sources and functions as the central concept for database access. Thus, additional databases can be integrated by linking them to this domain-specific ontology and are directly available for further business analyses. Moreover, the web-based system supports the process of mapping ontology concepts to external databases by introducing a semi-automatic mapping recommender and by visualizing possible mapping candidates. The system also provides a natural language interface to easily query linked databases. The expected result of this ontology-based approach of knowledge representation and data access is an increase in knowledge and data sharing in this domain, which will enhance existing business analysis methods.     

Community engineering for innovations: the ideas competition as a method to nurture a virtual community for innovations

'Crowdsourcing' is currently one of the most discussed key words within the open innovation community. The major question for both research and business is how to find and lever the enormous potential of the 'collective brain' to broaden the scope of 'open R&D'. Based on a literature review in the fields of Community Building and Innovation Management, this work develops an integrated framework called 'Community Engineering for Innovations'. This framework is evaluated in an Action Research project – the case of an ideas competition for an ERP Software company. The case 'SAPiens' includes the design, implementation and evaluation of an IT-supported ideas competition within the SAP University Competence Center (UCC) User Group. This group consists of approximately 60,000 people (lecturers and students) using SAP Software for educational purposes. The current challenges are twofold: on the one hand, there is not much activity yet in this community. On the other, SAP has not attempted to systematically address this highly educated group for idea generation or innovation development so far. Therefore, the objective of this research is to develop a framework for a community-based innovation development that generates innovations, process and product ideas in general and for SAP Research, in particular, combining the concepts of idea competitions and virtual communities. Furthermore, the concept aims at providing an interface to SAP Human Resources processes in order to identify the most promising students in this virtual community. This paper is the first to present an integrated concept for IT-supported idea competitions in virtual communities for leveraging the potential of crowds that is evaluated in a real-world setting.     

Requirements Engineering for Product Service Systems

In recent years, manufacturing companies and service providers have moved towards offering customer-specific problem solutions. These integrated bundles usually consist of hardware, software, and service components and are called product service systems (PSS) or hybrid products. Since the success of the resulting solution depends on the understanding of all requirements, requirements engineering (RE) has become a key factor. The article analyzes the state of the art of RE for PSS based on an extensive literature review in the domains of product-, software-, and service engineering. For this, criteria are derived from the characteristics of PSS and from the task area of RE in the life cycle of PSS. Based on these criteria we analyze the most established RE approaches for their suitability for PSS. An important finding is that integrated/interdisciplinary approaches for RE are missing. Moreover, the maturity of RE approaches in the three domains varies significantly. All analyzed approaches heavily rely on concepts and solution characteristics of their own domain so that a transfer to other domains is hardly possible. This literature review lays the foundation for successful RE for PSS and especially for future research aiming at combining and integrating RE approaches and models of product-, software-, and service engineering. Such requirement models could connect concepts of single domains and enable an integrated and seamless RE for PSS.     

Challenges and opportunities for pre-crisis emergency risk communication: lessons learned from the earthquake community

Abstract

Prior to the 2009?L’Aquila event, earthquake forecasting and early warning research focused specifically on earthquakes as the crisis events. Although this is still true, the manslaughter convictions of six earthquake scientists and one public official for failed risk communication in 2009 served as a catalyst for expanding these goals to also intentionally examine the challenges of communicating earthquake risk with non-scientific during the pre-crisis stage of the earthquake lifecycle. The Crisis Emergency Risk Communication (CERC) Model developed by the US Centers for Disease Control and Prevention (CDC) provides specific guidelines for doing so. Thus, based on a thematic analysis of interviews with 21 earthquake scientists, this study identifies what those responsible for communicating regularly about earthquake risk see as major communication challenges and the extent to which the CERC model recommendations are useful for addressing them. Results suggest that earthquake risk science communicators are most effective when they translate scientific and technical information simply, respond to competing messages, capitalize on relevant popular culture references, employ risk communication campaigns during ‘quiet periods’, and acknowledge uncertainty. These findings have implications not only for earthquake science risk communicators, but also for expanding the pre-crisis stage best practices proposed in the Crisis Emergency Risk Communication (CERC) model. Essentially, this study reveals that soliciting and responding to feedback in the pre-crisis stage could help spokespersons clarify or correct any messages that are perceived by audiences as unclear or are simply not accurate. Doing so may improve risk communication effectiveness not only during the pre-crisis stage but also throughout the earthquake crisis lifecycle.     

Big Data

“Big data” describes technologies that promise to fulfill a fundamental tenet of research in information systems, which is to provide the right information to the right receiver in the right volume and quality at the right time. For information systems research as an application-oriented research discipline, opportunities, and risks arise from using big data. Risks arise primarily from the considerable number of resources used for the explanation and design of fads. Opportunities arise because these resources lead to substantial knowledge gains, which support scientific progress within the discipline and are of relevance to practice as well. From the authors’ perspective, information systems research is ideally positioned to support big data critically and use the knowledge gained to explain and design innovative information systems in business and administration – regardless of whether big data is in reality a disruptive technology or a cursory fad. The continuing development and adoption of big data will ultimately provide clarity on whether big data is a fad or if it represents substantial progress in information systems research. Three theses also show how future technological developments can be used to advance the discipline of information systems. Technological progress should be used for a cumulative supplement of existing models, tools, and methods. By contrast, scientific revolutions are independent of technological progress.