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Factors Affecting the Adoption of Mobile Technology ¡Xthe Fit-Viability PerspectiveHuang, Hsiao-chun 21 January 2007 (has links)
The increased popularity in mobile devices and technology has motivated business to adopt the technology for increased productivity. However, not much research has investigated the adoption of mobile technology. The purpose of this thesis is to study the factors that influence the adoption of mobile technology and to develop a model of mobile technology adoption. The model can serve as a foundation for future research and provide useful guidelines for organizations that plan to adopting mobile technology.
The model suggests two categories of factors that determine the decision of adopting mobile technology: fit and viability. Fit measures whether the functional capabilities of mobile technology match the need of a task, whereas viability measures whether an organization is ready for the technology. This research develops instruments for measuring fit and viability. A survey was conducted to collect data for model evaluation.
Major findings from the study include: (1) the fitness between task and technology had a direct positive impact on the success of mobile system adoption. (2) Personal characteristic and organizational viability had indirect positive impacts on the success of mobile system adoption via the mediation of system quality. (3) Personal characteristic and organizational viability had positive impacts on the information quality and system quality but had no impact to the service quality. (4) Only the system quality had a positive impact on the success of mobile system adoption.
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Värdeskapande faktorer med en informationshanteringsplattform genom Internet of Things : En fallstudie med fokus på förebyggande underhåll i en producerande verksamhetBlomqvist, Ellen, Lenegård, Mathilda January 2016 (has links)
Internet of Things gör det möjligt att skapa “smarta miljöer” där information kan utbytas mellan olika typer av enheter. Denna teknik kan leda till effektivisering och automatisering på en mängd olika sätt, till exempel i våra hem och för affärsverksamheter. Ett område där intresset för denna teknik är stort är inom industrin, där området benämns som Industry 4.0. Där förväntas tekniken bland annat kunna användas för att effektivisera och förutse underhåll av maskiner, en inriktning som kallas e-maintenance. Denna nya teknik medför anpassning och utveckling av nya affärsmodeller och olika typer av informationssystem baserade på dessa. För att värde ska kunna skapas för verksamheter vid användande av en informationshanteringsplattform bör värdeskapande faktorer utforskas. Syftet med denna studie är att undersöka, utifrån aspekter ur DeLone och McLeans (2003) Information System Success Model, hur värde kan skapas för ett fallföretag vid användning av en informationshanteringsplattform kopplad till sensorer i verksamheten genom Internet of things. Studien har genomförts med en abduktiv forskningsstrategi och en kvalitativ ansats. En fallstudie har genomförts på ett kundföretag till Sigma Technology, som studien görs i samarbete med. Utifrån ett urval av de anställda på fallföretaget har uppfattningar kring värdeskapande faktorer undersökts, genom enskilda semi- strukturerade intervjuer. Intervjuerna har analyserats och jämförts med Delone och McLeans (2003) Information Systems Success Model för att finna samband eller avvikelser. I studien framkom det att de framstående variablerna för värdeskapande är enkelhet, informationsstruktur, tillgänglighet och pålitlighet. Dessa faktorer ansåg respondenterna vara särskilt viktiga vid utformning av en informationshanteringsplattform. Resultatet visar även att studien till stor del stämmer överens med det teoretiska ramverket och de beroendeförhållanden Information System Success Model presenterar. Faktorer som respondenterna inte ansåg vara lika betydande för värdeskapande och som därmed avvek från modellen är dimensionen servicekvalitet. Baserat på studiens resultat presenteras förslaget att vidareutveckla modellen med den nya dimensionen interaktionskvalité, eftersom att analysen av de värdeskapande faktorerna beskriver detta behov. / Internet of Things enables the creation of “smart environments”, where it is possible to exchange information between objects. This can lead to increased efficiency and automatization in different ways, for example in our homes and for business operations. An area where the interest for this technology is immense is in the industrial sector, and is referred to as Industry 4.0. For this area, the adoption of this technology is expected to, for example, improve efficiency and to predict maintenance, an approach known as e-maintenance. This new technology implies modification and development of business models and enables different types of information systems based on these. To be able to generate value for businesses when using an information management platform, variables that create value should be investigated. The purpose of this study is to examine value-adding variables, with aspects from Delone & McLean’s Information System Success Model (2003), for a specific business case by using an information management platform through Internet of Things and sensors in their operations. This study has been carried out as a case study with one of Sigma Technology’s clients, which this study was made in collaboration with. This study was carried out with an abductive research approach and a qualitative method. To examine the opinions of the company’s employees, individual, semi-structured interview was conducted. The interviews was analyzed and compared with Delone & McLean's Information Systems Success Model, to identify resemblance or divergence. The findings in this study show that the significant variables for value to be created are simplicity, information structure, accessibility and reliability. These factors are considered to be especially important, according to the respondents. Findings also show that the study is mostly consistent with the theoretical model, however, some variance has been discovered and some modifications of the model are presented. A dimension that the respondents did not consider equally important for value creation, and thus deviated from the theoretical framework, is service quality. Based on the significant factors presented in the study, the proposal is to further develop the model by adding an additional dimension, interaction quality, for the reason that the analysis of the value creating factors in this study describes this need.
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