31 research outputs found

    The Impact Of Users\u27 Expectations On The Success Of Information Technology Implementation

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    Information Technology (IT) is being used to enhance productivity and effectiveness in response to today\u27s competitive business pressures. However, there still exists a gap between what users expect and get from IT. As a result, this technology may not be helping users respond to the challenges in the business environment. In an effort to improve IT implementation by addressing users\u27 expectations, Disconfirmation Theory, adapted from the consumer behaviour literature, is cast in an Information Systems (IS) setting. This theory helps understand how a deviation between users\u27 expectations and IT performance can lead to IS success or failure. This theoretical foundation is used to address the IT implementation processes and enhance the value of that technology for the organization and the users. Based upon three longitudinal field studies and eleven cross-sectional field studies, it was found that meeting users\u27 expectations (i.e., low disconfirmation) had a greater impact on IS success than users\u27 expectations or users\u27 post-implementation evaluation of the system\u27s performance alone. The users\u27 most important expectations included perceived usefulness, relative advantage, impact on knowledge, analytic capability, strategic orientation, fit or compatibility, ease of use, and contribution to the user\u27s image profile and value as an employee). Managers and system designers can evaluate these important dimensions early in the system development cycle to assess the fit and hence the likelihood of success. Changes can be made to improve the system\u27s impact. Researchers can employ the synthesized expectations categories, which were aggregated from previous work on IS expectations, attitude theories and diffusion of innovations work, to build a cumulative tradition based on common constructs

    A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and Voice Mail Emotion/Adoption Study

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    The ability to detect and accurately estimate the strength of interaction effects are critical issues that are fundamental to social science research in general and IS research in particular. Within the IS discipline, a large percentage of research has been devoted to examining the conditions and contexts under which relationships may vary, often under the general umbrella of contingency theory ( McKeen, Guimaraes, and Wetherbe 1994; Weill and Olson 1989). In our survey of such studies where such moderating variables are explored, a majority fail to either detect and/or provide an estimate of the effect size. In cases where effects sizes are estimated, the numbers are generally small. These results have, in turn, led some to question the usefulnessofcontingencytheoryandtheneedtodetectinteractioneffects(e.g.,WeillandOlson1989). This paper addresses this issue by providing a new latent variable modeling approach that can give more accurate estimates of such interaction effects by accounting for the measurement error in measures which attenuates the estimated relationships. The feasibility of this approach at recovering the true effects is demonstrated in two studies: a simulated data set where the underlying true effects are known and a Voice Mail adoption data set where the emotion of enjoyment is shown to have both a substantial direct and interaction effect on adoption intention

    Frame-of-Reference Effects on the Accuracy of Self-Assessed User Competence

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    It is important for individuals to accurately assess their competence in the information systems they use as individuals are increasingly required to self-manage their IT skills, and self-assessment is critical to self- management. This study conceptualizes the accuracy of self-assessment as the overlap between self-assessed and actual user competence. We argue that a wider frame-of-referenceóthat is, greater experience in and understanding of the domains of ITówill increase the overlap between self-assessed and actual user compe- tence. This study provides information to assist organizations in identifying over- or under-estimation of user competence, which can lead to inefficiencies, and has found initial support for the notion that exposing employees to a wider range of information technology experiences will reap benefits through more accurate self-assessments and increased effectiveness in software usage. This effectiveness will be achieved by improving individualsí assessment accuracy and by working to solve the ìBut, I thought I knew thatî problem

    Representation in Systems Development and Implementation: A Healthcare Enterprise System Implementation

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    Today’s information systems are often large and complex, affecting many people within and beyond the organization. Participation in this context is increasingly challenging because of the complexity of involving all who might be affected by a new information system. As a result, systems of representation, in which individuals are chosen to represent others, are often put in place to manage the participation process. Research has considered particular challenges of “representative participation” (Mumford, 1983); however, there is little empirical research comprehensively examining these systems of representation. Who participates in these systems, how are they structured and how is this representative work undertaken? Most importantly, what are the impacts of these decisions on the representation systems that are built and on the participation that flows from them? The purpose of our research is to explore the structuring of systems of representation in IS development and implementation. Building on the work of Land and Hirschheim (1983) and Mumford (1983), and drawing on Habermas’ deliberative democracy (1998), this research explores the system of representation employed in a large Electronic Health Record implementation as empirical evidence. Healthcare is a critical context for studying information systems implementation because of its uniqueness and complexity (Chiasson and Davidson, 2004; LeRouge et al., 2007), and therefore serves as an important environment for this research. Our contributions, drawn from this Electronic Health Record project, include an understanding of three fundamental tasks for developing systems of representation: defining the constituency, selecting representatives, and determining how the representation relationship will be carried out. We demonstrate that systems of representation can be classified by different meanings of “represent.” These types – “represent as spokesperson,” “represent as example” and “represent as symbol” – differ in the purpose of representation, in who is involved and in how representation is undertaken. Most importantly, these types of systems differ in their participatory potential. The findings highlight the opportunities and challenges inherent in the construction and implementation of systems of representation. The paper concludes by exploring the implications of these findings for practitioners and researchers, suggesting that representation should be more than simply appointing representatives, and offering mechanisms for participation and influence. We call on researchers to view these systems of representation in more fine-grained ways to better understand what their complexities mean for contemporary system development and implementation

    The Partial Least Squares Approach for Causal Modeling in IS Research

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    Thc objective of the tutorial is to present a state of the art overview of &e Partial Least Squares method and position it among other analytic techniques as well as within IS research. Furthermore, this tutorial will highlight the philosophid and operational issues that should be considered when employing causa! modeling

    Social farming as an innovative approach to promote mental health, social inclusion and community engagement

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    I fattori contestuali astratti basati sulla natura vengono riconosciuti come fondamentali per la prevenzione e la promozione della salute mentale . Le aree rurali, infatti, sono sempre più riconosciute come luogo elettivo per la promozione della salute mentale. Negli ultimi anni c'è stata un'ondata di modelli di governance ibrida con base rurale in cui enti pubblici, comunità locali e attori economici uniscono le forze per creare soluzioni di welfare innovative per facilitare le sfide finanziarie (e organizzative) affrontate dai sistemi sanitari nazionali. Utilizzando risorse agricole, come animali e piante, l'agricoltura sociale è in grado di soddisfare esigenze sociali specifiche, tra cui riabilitazione, occupazione protetta, istruzione permanentee altre attività che contribuiscono all'inclusione sociale. Allo stesso tempo, l'agricoltura sociale è in grado di rafforzare la redditività economica e sociale delle comunità rurali. Abbiamo studiato i fattori alla base delle potenzialità delle fattorie sociali per fornire programmi di inserimento lavorativo e riabilitazione per le persone con disturbi mentali. Utilizzando nuove metodologie e strumenti adeguati, abbiamo raccolto dati che indicano gli effetti positivi delle attività agricole sul funzionamento sociale dell'individuo, nonché l'impatto del networking delle aziende agricole sulla sostenibilità del sistema

    MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

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    Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info:eu-repo/semantics/publishedVersio

    Language production impairments in patients with a first episode of psychosis

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    Mammals in Portugal: a data set of terrestrial, volant, and marine mammal occurrences in Portugal

    Get PDF
    Mammals are threatened worldwide, with ~26% of all species being included in the IUCN threatened categories. This overall pattern is primarily associated with habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change, and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished georeferenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of the Azores and Madeira that includes 105,026 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (43%), sign surveys (35%), camera trapping (16%), bioacoustics surveys (4%) and radiotracking, and inquiries that represent less than 1% of the records. The data set includes 13 types of records: (1) burrows | soil mounds | tunnel, (2) capture, (3) colony, (4) dead animal | hair | skulls | jaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8), observation in shelters, (9) photo trapping | video, (10) predators diet | pellets | pine cones/nuts, (11) scat | track | ditch, (12) telemetry and (13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n =31,573) has the highest number of records followed by Chiroptera (n = 18,857), Carnivora (n = 18,594), Lagomorpha (n = 17,496), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 7008). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus [n = 12,159], Monachus monachus [n = 1,512], and Lynx pardinus [n = 197]). We believe that this data set may stimulate the publication of other European countries data sets that would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications

    A multi-element psychosocial intervention for early psychosis (GET UP PIANO TRIAL) conducted in a catchment area of 10 million inhabitants: study protocol for a pragmatic cluster randomized controlled trial

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    Multi-element interventions for first-episode psychosis (FEP) are promising, but have mostly been conducted in non-epidemiologically representative samples, thereby raising the risk of underestimating the complexities involved in treating FEP in 'real-world' services
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