Chancen und Risiken der Arbeit im E-Business

E-Business, verstanden als ganzheitliche Strategie zur Reorganisation von Geschäftsprozessen, Strukturen und Beziehungen in Unternehmen, bietet für die Arbeitsgestaltung in einer digital vernetzten Welt Chancen und Risiken in Hinblick auf die Humankriterien. Empirische Untersuchungen in 14 Unternehmen zeigen „good practice“-Ansätze im B2B-Feld (Business-to-Business). Untersucht wurden die Tätigkeiten der elektronisch vernetzten Auftragsbearbeitung, des Web-, Content-Managements, der digitalen Druckvorlagenherstellung sowie der CAD- Bauplanzeichnung. Die beobachteten Arbeitsplätze zeigen, dass Arbeitsinhalte eher ganzheitlich und komplex gestaltet sind. Planende, ausführende, kontrollierende und organisierende Anteile weisen auf eine vielfältige Aufgabengestaltung hin, die hohe Anforderungen beinhaltet. Während alle beobachteten Tätigkeiten mit Aufnahme-, Erarbeitungs-, Verarbeitungs-, Übertragungs- und Weitergabeprozessen von Informationen zu tun haben, gibt es Differenzen in Bezug auf den Arbeitsumfang, den Zeitdruck, Fristsetzungen, erwartete Arbeitsleistungen sowie die Planbarkeit der Aufgaben. Die vorgefundenen Aufgabentypen (wenig bis sehr anforderungsreich im Sinne von Denk- und Planungsanforderungen) sind gekennzeichnet durch eine unterschiedlich ausgeprägte Aufgabenkomplexität. Interessant ist, dass, je anforderungsreicher die Aufgabengestaltung, je höher die Aufgabenkomplexität, je größer die Wissensintensität und je niedriger die Planbarkeit ist, desto größer sind die Freiräume in der Aufgabenausführung. Das heißt wiederum, dass bei zunehmenden E-Business-Anteilen mehr Gestaltungsspielräume zur Verfügung stehen. Die bestehenden Chancen auf eine humane Aufgabengestaltung sind umso größer, je höher die E-Business-Anteile in der Arbeit sind. Diese Wirkung findet sich auch bei einem Vergleich der Aufgabenbestandteile wieder. Die negativen Seiten des E-Business zeigen sich in den vorgefundenen Belastungen, die auf die Beschäftigten einwirken. Diskutiert wird die Verschiebung von körperlichen hin zu psychischen und vorrangig informatorischen Belastungen. Letztere stellen ein neues Belastungsfeld dar. Ressourcen, auf welche die Mitarbeiter zurückgreifen können, sind an allen Arbeitsplätzen vorhanden, allerdings unterschiedlich stark ausgeprägt. Personale, organisationale, soziale, aufgabenbezogene und informatorische Ressourcen, die den Beschäftigten zur Verfügung stehen, werden angesprochen. In Bezug auf die Organisationsgestaltung sind positive Ansätze in den untersuchten E-Business-Unternehmen zu beobachten. Der Großteil der untersuchten Betriebe hat neue Arbeitsorganisationskonzepte realisiert, wie die vorgefundenen kooperativen Organisationselemente zeigen. Die kooperativen Organisationsformen gehen allerdings nicht mit einer belastungsärmeren Gestaltung einher. Das vorgefundene breite Spektrum, von hierarchisch organisierten Strukturen bis hin zu prozess- und mitarbeiterorientierten Organisationsstrukturen, zeigt, dass Organisationsmodelle im E-Business gestaltbar sind. Neuen Anforderungen kann insofern gestaltend begegnet und somit die Gesundheit und das Wohlbefinden der Mitarbeiter positiv beeinflusst werden. Insgesamt betrachtet, zeigt E-Business ein ambivalentes Gesicht, das auf der Basis des MTO-Modells (Mensch-Technik-Organisation) von Uhlich (1994) diskutiert wird, indem vernetzte Arbeitsprozesse auf personeller, technischer sowie organisationaler Ebene betrachtet werden. E-business, seen as more than only the transformation of usual business processes into digital ones, furthermore as an instrument of reorganisation of processes and organisation structures within companies, offers chances for a human oriented work organisation. Empirical data of 14 case studies provide good practice approaches in the field of B2B (Business-to-Business). The observed work contents show, that tasks (e.g. order processing, web-, contentmanagement, first print manufacturing and architectural drawing) are well arranged. Executive, organising, controlling and coordinating parts constitute a diversified work content, which can be organised with high demands. Interesting is the result, that the more e-business-parts are within the work contents, on the one hand the higher are the demands of the type of work and on the other hand the larger is the influence on workmanship. The observed enterprises have realised new elements of work organisation, e.g. flexible working time, cooperative leadership or team work. The direct participation of the employees can be strengthened, in particular within the transformation process. Those companies in which the employees were early and well informed about the changes coming up with e-business work, the acceptance for new technique and new processes is higher than in companies which did not involve the person concerned. Structured in an ergonomic way, there were found bad patterns of behaviour concerning ergonomic aspects, because of missing knowledge regarding work-related ergonomic expertise by the employees. E-business indicates new aspects concerning requirements – new in the field of informational demands, as a result of poorly conceived technical balance in the researched SME. Broken systems cause interruptions, which increase the pressure of time all the more. Because of the inadequate usability of software-systems there appear in addition to the informational strains also elements of psychological stress. All in all, work contents and work conditions can be shaped and as a result the health and well-being of e-business-employees can be influenced: Tasks can be structured and organised in a healthfulness way, physiological strain and psychological stress are capable of being influenced, resources are existent and developable, a human work design within e-business structures is possible. The ambivalent face of e-business work is discussed on the basis of the MTO- (Mensch-Technik-Organisation) model (Ulich 1994). Thereby new and interesting results of researches are found out, concerning the personal/human side, the technical side and the organisational side of e-business work.

Capturing Emergent Semantics from Social Annotation Systems

The ongoing growth of the World Wide Web, catalyzed by the increasing possibility of ubiquitous access via a variety of devices, continues to strengthen its role as our prevalent information and commmunication medium. However, although tools like search engines facilitate retrieval, the task of finally making sense of Web content is still often left to human interpretation. The vision of supporting both humans and machines in such knowledge-based activities led to the development of different systems which allow to structure Web resources by metadata annotations. Interestingly, two major approaches which gained a considerable amount of attention are addressing the problem from nearly opposite directions: On the one hand, the idea of the Semantic Web suggests to formalize the knowledge within a particular domain by means of the "top-down" approach of defining ontologies. On the other hand, Social Annotation Systems as part of the so-called Web 2.0 movement implement a "bottom-up" style of categorization using arbitrary keywords. Experience as well as research in the characteristics of both systems has shown that their strengths and weaknesses seem to be inverse: While Social Annotation suffers from problems like, e. g., ambiguity or lack or precision, ontologies were especially designed to eliminate those. On the contrary, the latter suffer from a knowledge acquisition bottleneck, which is successfully overcome by the large user populations of Social Annotation Systems. Instead of being regarded as competing paradigms, the obvious potential synergies from a combination of both motivated approaches to "bridge the gap" between them. These were fostered by the evidence of emergent semantics, i. e., the self-organized evolution of implicit conceptual structures, within Social Annotation data. While several techniques to exploit the emergent patterns were proposed, a systematic analysis - especially regarding paradigms from the field of ontology learning - is still largely missing. This also includes a deeper understanding of the circumstances which affect the evolution processes. This work aims to address this gap by providing an in-depth study of methods and influencing factors to capture emergent semantics from Social Annotation Systems. We focus hereby on the acquisition of lexical semantics from the underlying networks of keywords, users and resources. Structured along different ontology learning tasks, we use a methodology of semantic grounding to characterize and evaluate the semantic relations captured by different methods. In all cases, our studies are based on datasets from several Social Annotation Systems. Specifically, we first analyze semantic relatedness among keywords, and identify measures which detect different notions of relatedness. These constitute the input of concept learning algorithms, which focus then on the discovery of synonymous and ambiguous keywords. Hereby, we assess the usefulness of various clustering techniques. As a prerequisite to induce hierarchical relationships, our next step is to study measures which quantify the level of generality of a particular keyword. We find that comparatively simple measures can approximate the generality information encoded in reference taxonomies. These insights are used to inform the final task, namely the creation of concept hierarchies. For this purpose, generality-based algorithms exhibit advantages compared to clustering approaches. In order to complement the identification of suitable methods to capture semantic structures, we analyze as a next step several factors which influence their emergence. Empirical evidence is provided that the amount of available data plays a crucial role for determining keyword meanings. From a different perspective, we examine pragmatic aspects by considering different annotation patterns among users. Based on a broad distinction between "categorizers" and "describers", we find that the latter produce more accurate results. This suggests a causal link between pragmatic and semantic aspects of keyword annotation. As a special kind of usage pattern, we then have a look at system abuse and spam. While observing a mixed picture, we suggest that an individual decision should be taken instead of disregarding spammers as a matter of principle. Finally, we discuss a set of applications which operationalize the results of our studies for enhancing both Social Annotation and semantic systems. These comprise on the one hand tools which foster the emergence of semantics, and on the one hand applications which exploit the socially induced relations to improve, e. g., searching, browsing, or user profiling facilities. In summary, the contributions of this work highlight viable methods and crucial aspects for designing enhanced knowledge-based services of a Social Semantic Web.