As the number of electronic services provided by governments to their citizens has increased, so has the need for understanding whether citizens are satisfied with these services. A literature review indicated that, in the United States alone, several government entities, including federal, state, and local governments, have invested large amounts of resources to develop or introduce electronic government (e-Government) to their citizens. However, very little attention has been paid to developing a standard scale for measuring the intended benefits or for justifying the invested resources. The focus of this study was the development and validation of a scale for measuring e-government user satisfaction (EGUS) to close this gap. Through review of extant literature, a 9-dimensional structure with 86 items was extracted to measure EGUS. Then, a preliminary content validity study was conducted with a 10-member panel of experts, who examined the items to ensure the psychometric properties of the scale were theoretically and empirically sound. This process resulted in elimination of 14 items. The main study was conducted based on the remaining 72 items. Data was collected from 225 e-government users via Web-based survey to assess their experience with online engagement. The items were further subjected to iterative test of dimensionality, construct validity, and internal consistency reliability. The end result was a 9-dimensional scale structure with 67 items. The results of the study indicated that all nine dimensions of EGUS (information content, ease of use, accessibility, timeliness, efficiency, security, privacy, interactivity, and format) were significant in influencing e-government user satisfaction. Thus, this research model has resulted in the basis for development of a new instrument to measure user satisfaction within e-government domain and the groundwork for expanding research on user satisfaction studies within the e-government paradigm. Within the body of knowledge, it has revealed insight into the importance of end user satisfaction in electronic government research. The instrument could be used in various fields of study. E-government practitioners and citizens could also use it for better understanding of the benefits of e-government services over traditional government services. Government personnel could use it to justify investments.

Diploma thesis analyzes procedure of implementing new component of information system on universities in Czech Republic. Data were collected with the aid of question-form and complemented by interview on chosen universities. Analyze of implementation is divided into several areas: IS architecture, component cooperation, opening analysis, contractor selection, contract, methodology used, project management, time table, global analysis, verification of data purity, testing, training, documentation and acceptance. General recommendations of implementation new component into information system are made from gained information in chapter 6 and summary of thesis.

A new reality, where human labor is replaced by automated machines is causing production management to rethink how they can steer the production to meet their customers demand. There is a gap of values, techniques and tools to communicate with the processes existing in the new modern factories, where data sometimes is the single output. This thesis purpose was to develop a model out of Lean and Six Sigma, as an answer to how modern factory could work with an information system, reaching the ideal state.   Through a theoretical analysis, Lean and Six Sigma differences in values, techniques and tools were weighted by the ideal state and recommendations from literature. Through a unstructured interview and system design review with a logistic group at a Swedish Modern Factory (SMF) a concept of an information system was developed. A project to test the model was initialized, where Define, Measure and Analyze phase was conducted. The model was thereafter modified from the projects implications.   The result was a Lean Six Sigma model which values are customer focus, ideal state, result orientation, committed leadership, education and involvement. The technique follow a DMAIC cycle and continuous improvements through a current to future state approach. The used techniques were considered Six Sigma heavy, where Leans principles are considered into the models values. The information system supports the model in setting the processes of the factory in either stability or potential state, where they differ in Measure and Analyze phase. The test at SMF developed several assignable causes to variation on the component As lead time. The model adapted after the test to involve a Measurement System Analysis (MSA), before setting the next current state of the process. / En ny verklighet där människor byts ut mot automatiska maskiner får produktionstekniker att fundera hur det ska styra produktionen för att möta kunders behov. Det finns en brist av värderingar, tekniker och verktyg till att kommunicera med processer i de moderna fabrikerna, där data ibland är det enda att analysera. Examensarbetets syfte var att utveckla en Lean och Six Sigma modell, som ett svar för hur moderna företag kan arbeta med ett informationssystem, för att nå det ideala stadiet.   Genom en teoretisk analys har Leans och Six Sigmas skillnader blivit vägda mot rekommendationer från litteraturen och det ideala stadiet. Genom en ostrukturerad intervju och en genomgång av systemets design hos en logistikgrupp, på ett svenskt företag (SMF), har ett koncept av ett informationssystem framtagits. Ett projekt för att testa modellen påbörjades, där Define, Measure och Analyze fasen var genomförda. Modellen blev därefter modifierad genom de implikationer projektet stött på.   Resultatet av den teoretiska analysen gav en Lean Six Sigma modell, vilka värdering är kundfokus, ideala stadiet, resultatorientering, engagerat ledarskap, utbildning och medverkande. Tekniken följde en DMAIC (Define, Measure, Analyze, Improve, Control) cykel och kontinuerliga förbättringar, från nuläge till ett framtida tillstånd. Teknikerna blev Six Sigma tunga, där Leans principer var beaktade i modellens värderingar. Informationssystemet var en supportfunktion av modellen och skapar en status för fabrikens processer, antingen i stabilitet eller potential stadiet, där de skiljer sig åt i mät – och analys fasen. Testet på SMF genererade flera grundorsaker till variation för komponents As ledtid. Modellen anpassades till att innehålla en mätsystemsanalys (MSA), innan nuläget av processen bestäms.