Information system is a crucial topic in today’s business world. Without a proper information system, it is very difficult to compete on the market. The purpose of the study was to analyze the impact an information system has on the users work and how those factors are assessing the users’ readiness to change to e.g. switch from an existing information system to a new more advanced one. The study was based on the DeLone and McLean IS success model and a single case study was conducted with an inductive research approach. The empirical data has been gathered through semi-structured interviews and the findings show that reliability, response time and IT service of the IS system are the factors with the most influence on the user’s perceived readiness to change. Moreover, the users are not ready to change the current information system that is running within the company for a more advanced one. Position, technical skills and top management are all impacting the user’s readiness to change. Organizationscan use these findings to analyze the users’ satisfaction, their behavior and readiness to face the future changes.

In an era of digital convergence, people in related fields are devoted to activities of digitalization, especially in digital TV. This research is based on the Information System Success Model from Technology Acceptance Model (TAM) and aimed to understand the factors that affect user satisfaction and acceptance behavior. The researcher adopts the methodology of questionnaire survey. After statistical data analyses, the results show the main factor that influences MOD users¡¦ intention to use is perceived usefulness. Furthermore, perceived usefulness is influenced by perceived ease of use and user satisfaction. Three factors related to perceived ease of use and user satisfaction are program content quality, system quality and service quality of MOD. However, the influence of information quality is not significant. This research successfully constructs a technology acceptance model for MOD development and contributes for reference not only to future researches on users concerning innovative technologies but also to specific guidance for MOD operators to improve their services, expediting the development of digital TV in Taiwan.

各產業隨著物聯網、大數據與雲端計算等技術的發展而有新應用，各產業皆朝向智慧化的發展。台灣的醫療產業在國際上頗具盛名，全民健康保險制度的推行，讓台灣人人都能接受醫療服務，但由於就醫的門檻變低了，人們容易出現濫用醫療資源的現象，而有限的醫療資源使得醫療院所設法壓縮成本支出，以確保其營運績效，血汗醫院的現象加上層出不窮的醫療暴力事件，讓醫護人員處於惡劣的工作環境，也進而影響提供給病患的醫療服務品質。「智慧醫院」透過科技的應用，期望能降低醫護人員的工作負擔，並帶給病患更好的醫療照護品質，使得醫療院所的智慧化成了必然的趨勢，智慧醫院建置前的投入、建置後的使用與帶來的成效為何，都影響著智慧醫療往後的發展。 本研究以員林基督教醫院為個案，主要目的為探討智慧醫院之建置所需具備的關鍵資源及其影響，並以資訊系統成功模式的觀點分析影響使用者使用智能系統的因素，找出智慧醫院對病患、醫護人員與院方所帶來的價值。本研究所得之結論為：智慧醫院之建置，除了需投入大量資金於新設備，還要有醫療資訊系統與醫院自身的資訊能力作為關鍵資源，以提供智能系統高系統品質與高資訊品質。系統品質中的易用性、資訊品質的正確性與即時性、上層對基層的期望與醫院所在的環境，都會影響使用者的使用意願與使用狀況。智慧醫院改善醫護人員的工作負擔，亦提升對病患的照護品質，雖然財務上短期無法回收其投入，但無形中為醫院提升醫療服務品質，並帶給病患更便利與貼近的醫療服務。

Magister Commercii (Industrial Psychology) - MCom(IPS) / Working students encounter challenges and responsibilities at university and work. In attempting to study the books and chapters assigned, meet assignment deadlines, take part in extracurricular activities and function at work, working students may be overwhelmed sensing inadequate time to complete all their responsibilities. These may lead to certain negative outcomes for the working student, such as languishing, poor grades, taking longer than the expected time to complete studies or, in the worse scenario, quitting their studies. The primary aim of this study was to examine and understand the influence of non-cognitive factors (including PsyCap, time management, and grit) on flourishing and the working students’ intention to quit employing correlational and hierarchical regression analysis. The secondary objective was to make recommendations to universities and organisations on how to aid working students to develop or increase non-cognitive factors to ensure their flourishing and a reduced intention-to-quit studies. A non-probability sampling technique indicating, convenience sampling and purposive sampling were employed to recruit respondents. Respondents had to be working students (part-time students). The sample included 194 respondents (n = 194) from a university in the Western Cape. The survey instrument included a biographical questionnaire, the academic PsyCap questionnaire, mental health continuum - short form (MHC-SF) questionnaire, Grit-Perseverance of effort subscale, the time management short-range planning subscale, and a self-developed intention-to-quit questionnaire. Numerous studies confirmed the validity and reliability of these instruments. The relationship amongst the non-cognitive variables (PsyCap, grit and time management), flourishing and intention-to-quit studies were assessed through Pearson correlation and hierarchical regression analysis. The non-cognitive variables had a positive relationship with flourishing and a negative relationship with intention-to-quit studies. PsyCap was established to explain the largest proportion of the variance in flourishing and intention-to-quit studies. This is consistent with the findings of studies with similar variables. Recommendations were made for lecturers, counsellors, and university officials to collaborate to incorporate programmes that will aid in developing these non-cognitive variables into the university’s curriculum.

Denna studie och uppsats har behandlat samt fokuserat på att synliggöra användarproblem och bearbeta dessa genom bakomliggande teorier kring olika systemegenskaper. Studien utgår från det aktuella administrationsverktyget Everyware. Verktyget Everyware används idag av tidningar och mediehus för att bygga upp och underhålla webbtidningar. En ständig ökning av digital nyhetspublicering bidrar till en konkurrens inom tidnings- och mediebranschen. Detta betyder i sin tur att branschen vill publicera sina nyheter så snabbt och smidigt som möjligt. Detta har varit en bidragande faktor till studiens syfte. Syftet med studien har varit att ta fram ett nytänkande gränssnittsförslag som utifrån användaren ska upplevas som lätthanterligt, smidigt och responsivt. Det teoretiska ramverk som står till grund för studien är baserat på teorin IS Success Model. Med denna teori har studien undersökt vilka framgångsfaktorer ett informationssystem, enligt användarna, bör tillhandahålla. Som komplement till teorin har studien även använt sig av vetenskapliga områden som användarupplevelse, användbarhet och användarnytta. Genom både kedje- och ändamålsenligt urval har åtta potentiella användare av aktuellt verktyg involverats. Det empiriska materialet har samlats in genom individuella semistrukturerade intervjuer samt en gruppintervju. Utifrån det empiriska material som samlades in har sedan tydliga mönster tagits fram för att senare vidareutvecklas och bearbetas vidare i arbetsprocessen. En kategorisering utifrån olika upplevelser kring användandet av det aktuella verktyget, har tagit studien vidare mot gränssnittsarbetet. För att kunna skapa gränssnittsförslag krävdes en analys av det resultat som framkommit. En innehållsanalys och ett affinitetsdiagram skapades för att ta reda på primära önskemål hos användarna gällande administrationsverktygets egenskaper. Utifrån analysen kunde slutligen ett förslag på ett nytänkande gränssnitt för administrationsverktyget Everyware tas fram. Resultatet av denna studie har visat att användare av ett administrationsverktyg, för skapande av webbtidningar, är beroende av att verktyget tillhandahåller särskilda system, information och serviceegenskaper. Dessa egenskaper kan i sin tur leda till förmåner för användare av administrationsverktyget, tidningsbranschen samt läsarna. / This study has addressed and focused on visualizing user problems and processing them through underlying theories about different system properties. The study is based on the current administration tool Everyware. The tool is today used by newspapers and media houses to build and maintain web magazines. An ongoing increase in digital news publishing contributes to competition in the newspaper and media industry. This in turn means that the industry wants to publish news as quickly and smoothly as possible, which has been a contributing factor to the purpose of the study. The purpose of the study has been to develop a new-minded interface proposal which, according to the users, should be experienced as easy to use, smooth and responsively. The theoretical framework for the study is based on the theory IS Success Model. With this theory, the study has investigated what success factors an information system, according to users, should provide. As a complement to the theory, the study has also used scientific areas such as user experience, usability and utility. Through different methods has eight potential users of the current tool been involved. The empirical material has been collected through individual semi structured interviews and a group interview. Based on the collected data, patterns have been developed for further development and adaption in the work process. A categorization based on different experiences regarding the use of the current tool took the study further towards the interface proposal. In order to create interface proposals, an analysis of the result that was obtained was required. A content analysis and an affinity diagram were created to determine primary requirements of users regarding a management tool properties. Based on the analysis, a proposal of a new interface for the Everyware administration tool could finally be made. The result of this study has shown that users of administration tools are dependent on that the tool are providing specific system, information and service characteristics. These characteristics can in turn lead to net benefits for users of the administration tool but also the newspaper industry and the readers.

Background: The companies of Industry 4.0 need to invest in digitalising their organizations as software is growing into a decisive manufacturing determinant. Especially in the SaaS business and the transformation to Industry 4.0, there are many small companies that are driving the transformation while competing for market share. In this context, the SaaS providers need to develop an understanding of the success of their solution. While the Information Systems Success Model by DeLone and McLean has found some application in the context of SaaS solutions, there is no specific model for the SaaS industry. Furthermore, there is the underlying need to understand which antecedents cause or influence the success of an information system. Purpose: The purpose of this study is to develop an Information Systems Success Model for Software-as-a-Service companies and to understand the antecedents and their relationships to the success of SaaS solutions from the SaaS provider’s point of view. Method: This study followed an abductive approach due to the possibility to simultaneously review existing theory and examine the empirical findings in the analysis. Furthermore, an exploratory study was conducted utilizing both quantitative and qualitative methods. The quantitative data was gathered through a standardized online survey of the customers of a SaaS provider and then analysed using Structural Equation Modelling. The qualitative data was collected through semi-structured interviews with SaaS providers, SaaS customers, and researchers of related fields and then analysed using a hermeneutic data analysis approach. The results of both methods were then triangulated to create the adapted model. Conclusion: Three antecedents of information systems success in the SaaS context were identified as part of this study. The antecedents are Management Support, User Involvement, and Trust. These antecedents can be used as levers by the SaaS provider to steer the success of their solution. Furthermore, the antecedents are integrated in a comprehensive Information Systems Success Model to measure and understand the success of SaaS solutions from the SaaS provider’s point of view.

Assim como outros investimentos em tecnologia da informação, os sistemas de Business Intelligence (BI) também têm sido questionados em relação aos benefícios e retornos obtidos depois de sua implantação. Isso porque o produto de BI é inteligência, ou, em outras palavras, algum tipo de informação processada, e o valor da informação é difícil de avaliar. A presente pesquisa pretende contribuir ao estudo desse problema de pesquisa, abordando o tema da avaliação dos sistemas de BI por meio do modelo de sucesso de sistemas de informação proposto por DeLone e McLean. Além das dimensões tradicionais inter-relacionadas do modelo: capacidade de BI, qualidade da informação, satisfação dos usuários e nível de uso, foi incluída a variável a abordagem de decisão, pois um dos principais objetivos dos sistemas de BI é processar dados advindos de diferentes fontes, para produzir informação que sirva como suporte para a tomada de decisão. Uma vez que a capacidade de BI e a qualidade da informação são constructos multidimensionais, uma das contribuições desta pesquisa foi realizar um levantamento na literatura sobre as dimensões que operacionalizam esse constructo e avaliá-las empiricamente. A capacidade de BI foi definida em termos de acessibilidade, capacidades analíticas, flexibilidade e integração, e qualidade da informação em termos de atualidade, completude, oportunidade e precisão. O problema de pesquisa foi abordado por meio da metodologia de survey, em que os respondentes foram convidados a participar da pesquisa via e-mail e o questionário foi disponibilizado em forma eletrônica através da ferramenta SurveyMonkey. No total, foram obtidas 483 repostas, das quais 246 foram válidas. Já que o modelo conceitual proposto inclui múltiplas relações de interdependência, a técnica estatística selecionada para analisar os dados foi a modelagem de equações estruturais. O software utilizado foi o SmartPLS que testa o modelo estrutural por meio do método de mínimos quadrados ordinários. Foi possível comprovar empiricamente todas as relações de causalidade propostas entre as dimensões de sucesso dos sistemas de BI, a exceção da relação de moderação da variável abordagem de decisão na relação de causalidade entre satisfação e nível de uso. Um teste subsequente permitiu observar que essa variável poderia ser preditora do nível de uso. Segundo os resultados, é possível afirmar que o sucesso de BI pode ser definido em termos da capacidade de BI, qualidade da informação, satisfação dos usuários e nível de uso. A operacionalização realizada dos constructos multidimensionais \"capacidade de BI\" e \"qualidade da informação\" poderia dar luzes sobre quais características devem ser priorizadas na implantação e/ou desenvolvimento dos sistemas de BI nas empresas. / As well as other investments in Information Technology (IT), Business Intelligence (BI) systems have also been questioned in relation to the benefits and returns obtained after its implementation. These questions arise because the BI product is intelligence, or, in other words, some kind of processed information and the value of information is difficult to assess. This research aims to contribute to this by addressing the issue of evaluation of BI systems through the information systems success model proposed by DeLone and McLean, beyond the traditional dimensions that are interrelated: BI capabilities, quality of information, user satisfaction, and level of use. The decision approach was included as a variable since a key objective of BI systems is to process data coming from different sources to produce information that serves as a basis for the decision-making process. Once the BI capability and information quality are multidimensional constructs, one of the contributions of this study was to review the literature available about the dimensions that operationalize this construct and evaluate them empirically. BI capability was defined in terms of accessibility, analytical capabilities, flexibility and integration, and the information quality in terms of opportunity, completeness, timeliness and accuracy. The research problem was addressed by the survey methodology: the respondents were invited to participate in the survey via email and the questionnaire was made available in electronic form through the SurveyMonckey tool. A number of 246 responses were usable out of the 483 total responses that were obtained. Since the proposed conceptual model includes multiple interdependencies, the statistical technique selected to analyze the data was the structural equation modeling. The software used was the SmartPLS, which tests the structural model using the ordinary least squares method. It was possible to prove empirically all the causal relationships proposed between success dimensions of BI systems, except for the moderation effect of making-decision approach variable on the relationship between satisfaction and usage level. A subsequent test allowed us to observe that this variable could be a predictor of the level of use. According to these results, we can say that the success of BI can be defined in terms of BI capability, the quality of information, user satisfaction and the level of use. The operationalization of the variables BI capability and information quality as a multidimensional construct could enlighten the decision about which features should be prioritized in implementing the development of BI systems in companies.

目前各國為了提升政府運作效能與國家競爭力，均將電子化政府視為重點發展策略。電子化政府的發展，從早期推動國家資訊基礎建設，到進一步運用資訊通訊科技提供各類政府服務，再到強調行政服務的效率與整合、網路公民參與等，目前已在世界各國形成風潮。電子化政府的普及應用，對於促成公民社會的發展、公義社會的追求及優質網路社會的建構，都帶來相當的影響，也因此當前電子化政府的最新發展為「電子治理」概念的提出。 在電子治理的概念下，電子化政府的評估方式應該從以往的投入-產出之效率評估轉向強調公共目標實現與否的影響評估。然而當前在電子治理影響評估的研究方面仍十分缺乏，雖然目前的電子治理評估研究已經開始重視從使用者的角度進行評估，但評估的焦點還停留在使用者對電子化政府服務的感受，而非電子化政府服務實際對使用者產生何種影響，且尚未以因果模型的方式建構一個完整的電子治理影響評估架構，以找出造成公共目標實現的關鍵因素。 本研究透過國際電子化政府評估研究、電子化政府評估架構、網路服務品質評估研究、電子治理影響評估四類文獻的整理，結合DeLone & McLean的資訊系統成功模型與Heeks的電子化政府價值鏈模型，提出了電子治理影響評估因果模型以及評估指標，同時介紹我國重要的電子化政府服務：「電子採購系統」的發展現況以及相關評估研究，並透過次級資料分析，針對我國電子採購系統進行因果模型的驗證。研究結果證實本研究所提出的電子採購因果評估模型確實具有一定的解釋能力，同時本研究也透過模型實證的結果針對電子採購的政策以及後續研究提出了相關建議。 / eGovernment, as a popular government activity, has adopted by many countries in order to maximize the competitive advantage of nations. As eGovernment activity grows over time, the main issues of e-government change from e-infrastructure to e-service and to e-participation, and this change brings the concern about the impact of eGovernment. Therefore, the latest development of eGovernment is “eGovernance”. Under the concepts of eGovernance, the focus of eGovernment evaluation should change form program evaluation to impact assessment. However, most of literature concerning eGovernance has focused on the supply side, which is the perspective of the government. Little has focused on the evaluation of actual use and its impact in e-government service. This research reviews literatures and related reports, based on Heeks’ eGovernment Value Chain Model and DeLone and McLean’s Information System Success Model, proposes a causal model for the empirical examination of impacts of the e-Procurement System in Taiwan, this model is strongly supported by the empirical data. This research also makes some suggestions for the improvement of e-Procurement policy in Taiwan, and for futher researches.

Assim como outros investimentos em tecnologia da informação, os sistemas de Business Intelligence (BI) também têm sido questionados em relação aos benefícios e retornos obtidos depois de sua implantação. Isso porque o produto de BI é inteligência, ou, em outras palavras, algum tipo de informação processada, e o valor da informação é difícil de avaliar. A presente pesquisa pretende contribuir ao estudo desse problema de pesquisa, abordando o tema da avaliação dos sistemas de BI por meio do modelo de sucesso de sistemas de informação proposto por DeLone e McLean. Além das dimensões tradicionais inter-relacionadas do modelo: capacidade de BI, qualidade da informação, satisfação dos usuários e nível de uso, foi incluída a variável a abordagem de decisão, pois um dos principais objetivos dos sistemas de BI é processar dados advindos de diferentes fontes, para produzir informação que sirva como suporte para a tomada de decisão. Uma vez que a capacidade de BI e a qualidade da informação são constructos multidimensionais, uma das contribuições desta pesquisa foi realizar um levantamento na literatura sobre as dimensões que operacionalizam esse constructo e avaliá-las empiricamente. A capacidade de BI foi definida em termos de acessibilidade, capacidades analíticas, flexibilidade e integração, e qualidade da informação em termos de atualidade, completude, oportunidade e precisão. O problema de pesquisa foi abordado por meio da metodologia de survey, em que os respondentes foram convidados a participar da pesquisa via e-mail e o questionário foi disponibilizado em forma eletrônica através da ferramenta SurveyMonkey. No total, foram obtidas 483 repostas, das quais 246 foram válidas. Já que o modelo conceitual proposto inclui múltiplas relações de interdependência, a técnica estatística selecionada para analisar os dados foi a modelagem de equações estruturais. O software utilizado foi o SmartPLS que testa o modelo estrutural por meio do método de mínimos quadrados ordinários. Foi possível comprovar empiricamente todas as relações de causalidade propostas entre as dimensões de sucesso dos sistemas de BI, a exceção da relação de moderação da variável abordagem de decisão na relação de causalidade entre satisfação e nível de uso. Um teste subsequente permitiu observar que essa variável poderia ser preditora do nível de uso. Segundo os resultados, é possível afirmar que o sucesso de BI pode ser definido em termos da capacidade de BI, qualidade da informação, satisfação dos usuários e nível de uso. A operacionalização realizada dos constructos multidimensionais \"capacidade de BI\" e \"qualidade da informação\" poderia dar luzes sobre quais características devem ser priorizadas na implantação e/ou desenvolvimento dos sistemas de BI nas empresas. / As well as other investments in Information Technology (IT), Business Intelligence (BI) systems have also been questioned in relation to the benefits and returns obtained after its implementation. These questions arise because the BI product is intelligence, or, in other words, some kind of processed information and the value of information is difficult to assess. This research aims to contribute to this by addressing the issue of evaluation of BI systems through the information systems success model proposed by DeLone and McLean, beyond the traditional dimensions that are interrelated: BI capabilities, quality of information, user satisfaction, and level of use. The decision approach was included as a variable since a key objective of BI systems is to process data coming from different sources to produce information that serves as a basis for the decision-making process. Once the BI capability and information quality are multidimensional constructs, one of the contributions of this study was to review the literature available about the dimensions that operationalize this construct and evaluate them empirically. BI capability was defined in terms of accessibility, analytical capabilities, flexibility and integration, and the information quality in terms of opportunity, completeness, timeliness and accuracy. The research problem was addressed by the survey methodology: the respondents were invited to participate in the survey via email and the questionnaire was made available in electronic form through the SurveyMonckey tool. A number of 246 responses were usable out of the 483 total responses that were obtained. Since the proposed conceptual model includes multiple interdependencies, the statistical technique selected to analyze the data was the structural equation modeling. The software used was the SmartPLS, which tests the structural model using the ordinary least squares method. It was possible to prove empirically all the causal relationships proposed between success dimensions of BI systems, except for the moderation effect of making-decision approach variable on the relationship between satisfaction and usage level. A subsequent test allowed us to observe that this variable could be a predictor of the level of use. According to these results, we can say that the success of BI can be defined in terms of BI capability, the quality of information, user satisfaction and the level of use. The operationalization of the variables BI capability and information quality as a multidimensional construct could enlighten the decision about which features should be prioritized in implementing the development of BI systems in companies.

In today’s society, much information is utilized and distributed through information and communication technology. However, even though IT or ICT has been introduced in the healthcare sector, paper documents are still in use. Studies show that this may create an inefficient healthcare, something pre-surgical medical personnel at a medical clinic in the southern part of Sweden, are well aware of.Their problem is that an increasing number of surgical procedures are cancelled as patients fail to comply with pre-surgery information; the information provided to patients before having surgery. Pre-surgical medical personnel believe that the root to this problem comes from the way patients are given access to the information itself. Currently, this is limited to paper document, a solution that worked in the past. However, a more diverse clientele has resulted in a greater need for information access and paper documents simply cannot support this in an effective manner.Pre-surgical medical personnel believe this could be improved if the information was also made accessible through an information system. And so, the focus of the master thesis was to explore the pre-surgical medical personnel’s perception on the requirements, usage and impact of a new IS that could, subsequently, generate improvements in the accessibility and understandability of pre-surgery information.The problematic situation was approached with an interpretative qualitative case study were data was collected through three different methods so that triangulation could take place. The master thesis then utilized a modified version of the Delone and McLean’s information system success model and a content analysis to approach, analyse and discuss the collected data.The findings of this analysis revealed that pre-surgical medical personnel perceived an information system where the technology used to support it, was less significant than the information system’s ability to provide patients with equal access to pre-surgery information. The analysis also revealed that the information system must be capable of presenting information as both text and narrated video, as well as in a language chosen by the patient. Lastly, the perceived effect of the information systems implementation and usage was a substantial reduction in the number of surgeries that were cancelled.