Personalomsättningen är idag väldigt stor inom organisationer och numera söker sig unga människor med mindre arbetslivserfarenhet till bemanningsföretag. Tidspressen är hög inom branschen och företagen vill snabbt få ut sina anställda, vilket ställer stora krav på en lyckad och tidsbegränsad introduktion. Fördelar med en lyckad introduktion är att den anställde känner trygghet och tillit inför kommande uppdrag och arbetsgivare. Bakgrunden till ett fördjupat intresse av att studera introduktionsprocessen inom bemanningsbranschen framstod när tidigare forskningar påvisade tydliga brister men även förbättringsmöjligheter som finns inom området. En bidragande orsak till valet av studie var fallföretagets engagemang, vilja och positiva inställning till en fördjupad forskning. Genom tidigare erfarenheter inom branschen av författarna upplevdes forskningsfrågan relevant och viktig. Efter en avstämning med tänkt fallföretag framkom det att konsultchefen upplevde att informationsspridningen under introduktionsprocessen var problematiskt. Därmed var vår tanke att bidra med en extern samt intern synvinkel över introduktionsprocessen. Syftet med studien var att undersöka hur nyanställda konsulter upplever informationsspridningen vid introduktionsprocessen ur ett informationslogistiskt perspektiv. För att få fram önskade data har ett induktivt angreppssätt använts där författaren gått från empiri till teori. För att få fram djupgående fakta och insikter användes en kvalitativ datainsamlingsmetod där 7 informanter i olika åldersgrupper intervjuades. För att besvara frågeställningen har följande teorier använts; Knowlegde Management, Organisatoriskt lärande, Informationslogistik, Informationsspridning och Bauers 4:cn. Studien har resulterat i en slutsats som visar olika tillvägagångssätt av förbättringsförslag som kan användas till underlag för att implementera och etablera en förändring av introduktionsprocessen. Dessa områden är att göra konsulten mer aktiv under introduktionen, att avsätta tid utifrån varje individs behov samt att använda workshops för att konsulterna ska kunna sprida insikter till varandra. Förslag till fortsatt forskning inom området är att studera ledarskapets roll i introduktionsprocessen samt hur en helt digital introduktion skulle kunna effektivisera introduktionen.

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Nowadays a substantial trend occurs that vast amounts of geospatial data are supplied, managed, and processed over distributed GIS. It is important to provide users with the capability of visualising spatial data quality information in a meaningful way for distributed GIS, since it will significantly enhance user understanding of data quality and aid them in assessing the data fitness for their application requirements. This thesis investigates the issue of visualisation of spatial data quality for distributed GIS. Based on a review of core concepts associated with spatial data quality, metadata standards, and major research areas related to data quality, the limitations of current data quality presentation are highlighted. To overcome some of these limitations, the research topic of this thesis is proposed, namely, adding visualisation functionality to the presentation of spatial data quality to convey uncertainty information to users in an interactive and graphical manner. Based on a review of the theories on visualisation and the frameworks developed for visualisation of spatial data quality in literature, an extended framework is developed incorporating several aspects of visualisation such as contexts, contents, and techniques, where the hierarchical nature of data quality and error models are two main parts of the visualisation contents. A brief framework of visualisation of spatial data quality for distributed GIS is proposed, where data storage with quality information and web services for visualising data quality are two key components. To satisfy a series of requirements for representing spatial data quality, a new object-oriented data model is proposed based on the review of developments of data models. This data model can specifically deal with the hierarchical nature of data quality and error propagation, recognising data quality as a dynamic process. Further, The implementation of the data model using GML and SVG is discussed. The details of a web service for visualising spatial data quality are addressed. After proposing the requirements on building a system for spatial data quality visualisation for distributed GIS, the design of a prototype visualisation system for distributed GIS is addressed in detail. The prototype visualisation system for spatial data quality is developed and implemented with an example data set, where SVG and JavaScript are used to illustrate how various graphic methods such as animation, data quality filters, and colour gradients can be used for distributed GIS. In addition to the visualisation of positional accuracy at the feature level, in this pilot system, the hierarchical structure of data quality information is also presented. Limitations of the research in this thesis are also addressed. However, in general, this research is of great significance for the contributions made to a relatively new research area in terms of theories, procedures, and software developments.

Thesis (Ph.D.) in Spatial Information Science and Engineering--University of Maine, 2006. / Includes vita. Includes bibliographical references (leaves 248-285).

<p>In new cars of today there are several electronically controlled systems that seek to aid the driver and make the journey as safe as possible. This include not only systems that directly control the vehicle such as ABS and ESP, but also systems that might make driving easier such as navigation systems, cruise control and even seat adjustments.</p><p>It is important that the effects on the driver from the use of such systems do not lead to an environment that diverts the attention of the driver from the main task, i.e. driving safely.</p><p>In this thesis a possible way of modeling the driver distractedness level due to the operation of these systems is discussed. This is done in Simulink with vehicle CAN data as inputs. An expert field test is done with 6 drivers over 18 trial runs with 31 secondary tasks on a highway. Two criteria are used to measure the distractedness, one objective based on the attributes of an element and one subjective, based on the use of the elements while driving during the trials. A lane monitoring system is evaluated and the offset from the lane center over time is used as an external criteria to the distractedness level. There is however no significant correlation between the external criteria and the subjective distractedness level.</p><p>The results of the subjective distractedness level are used in the model and possible future extensions to it are discussed.</p>

The objective of the research was to understand how customer knowledge was used in an organization and the role knowledge management systems (KMS) played in this use. Traditionally, organizations have relied on internal knowledge to shape their corporate strategy. Recently however they are tapping new sources of knowledge that are external to the firm. One important source of organizational knowledge is a company’s customers, as they present a source of knowledge that may provide new insights, innovations and ideas that are not necessarily found within the organization. The study examined the perceptions and beliefs of customer knowledge held by an organization’s employees, the types of customer knowledge available to the firm, the use of a KMS, and its impact on an organization’s use of knowledge. We posed the question of how these perceptions and beliefs influenced the types of customer knowledge available and the design and implementation of a KMS. Furthermore, we investigated the impact of customer knowledge types and knowledge management systems on how an organization uses customer knowledge in its regular operational routines. To answer these questions, a case study was conducted in a Canadian health care systems organization. By taking the approach that individuals in an organization are the key to sharing knowledge with customers, this research was able to gain an in-depth understanding of how employees view customer knowledge, including both positive and negative attitudes towards this new source of knowledge. The types of customer knowledge available to the study organization were identified, as were the ways that the newly implemented KMS helped and hindered knowledge sharing. The results of the research demonstrate how the types of customer knowledge available to an organization can be categorized by the perceived quality and the perceived accessibility of the knowledge. These findings contribute to the field of knowledge management by moving towards a theory of how customer knowledge is used by an organization, and how internal and external factors affect this use. Furthermore, this study raises awareness of the importance of a KMS in managing customer knowledge, including key aspects of its design and implementation.

A major challenge to achieving business process agility is the fragmentation of business processes, especially in organizations with semiautonomous business units. This fragmentation manifests itself in the form of diversified business processes performing similar activities. To address this challenge and achieve synergies across business units, processes should be integrated. Extant research on business process management has not paid much attention to such integration. Motivated by this concern, the primary objectives of my research are: “1) to understand how integration of similar business processes is achieved by semiautonomous business units and 2) to develop a process modeling support system that can help find similarities among business process models to aid process designers and to empirically evaluate its effectiveness in supporting process modeling activities.” I use a two-phased approach to address above objectives. In the first phase, I draw upon the analytic concept of frames of reference to develop a socio-cognitive process model to understand cognitive processes of stakeholders involved in the business process integration. This is done by analyzing the shifts in frame salience and frame congruence to enable the development of common-yet-tailorable business process. Data collection was conducted at ManCo, a Fortune 500 manufacturing company that had undertaken a process integration initiative in its multi-billion dollar supply chain across its five business units. Using qualitative data analysis, I identify four frame domains. Shifts in the frame salience and congruence highlight how, through a series of events, process stakeholders bring about integration. Frames domains identified in phase 1 highlight how individual business units’ perceptions differ. The use of diverse terminologies to refer to similar concepts added to the inability of process designers to reuse existing process models. These observations motivated the design research conducted in the second phase. I develop a prototype system, BPSimilar, which helps users to retrieve semantically similar process models. The approach to retrieve process models combines structural and semantic similarity-matching. The need for such a mechanism to speed up the model development was suggested by the case study. The effectiveness of BPSimilar for improving performance of users is evaluated in a qualitative study using verbal protocol analysis.

Understanding individual adaptation to Information Systems (IS) has received relatively little attention in IS research. For furthering these issues, a multi-paper dissertation is adopted and studies distinct aspects of user interaction with IT related with adaptation. Thus, in order to better understand how system users adapt to IT disruptions this study examines (1) how system users who become disrupted by IS that provide them with too much information interact with these systems, (2) the influence of espoused cultural values (Srite et al. 2006) on user coping strategies of adaptation to IS, and (3) middle managers responses to the implementation of disruptive IT in public administration. These dissertation studies together help improve our knowledge on individual adaptive responses to IT disruptions.

Usage of very large sets of historical spatial data in knowledge discovery process became a common trend, and in order to obtain better results from this knowledge discovery process the data should be of high quality. In this thesis we proposed a framework 'GeoExpert' for data quality assessment and cleansing tool for spatial data that integrates the spatial data visualization and analysis capabilities of the ARCGIS, the reason and inference capability of an expert system. In this thesis we implemented the proposed framework both stand-alone and web versions using ArcGIS Engine and ArcGIS Server, respectively. We used JESS expert system shell for the expert system part of the GeoExpert. Use of expert system shell separates the application logic from the actual framework which makes the framework easily updatable and domain independent. In this thesis we implemented the GeoExpert on the spatially referenced water quality data.