7 research outputs found
Individual Appropriation of Learning Management Systems—Antecedents and Consequences
IT support in the learning process constitutes a key factor for the success of innovative teaching/learning scenarios. To ensure learning success in innovative teaching/learning scenarios, learners need to faithfully apply learning management systems (LMS). However, we lack theoretical insights into which factors affect whether they do so. To help solve this issue, we first used adaptive structuration theory to identify antecedents and consequences regarding faithful LMS appropriation and embed them into a theoretical model. Second, we conducted a survey study with 173 participants to evaluate the model. The results show that the perceived IT support, interactivity, and the task-technology fit significantly affect the degree to which learners faithfully apply a LMS. Moreover, the results indicate that faithful appropriation is a significant indicator of the learning process satisfaction as well as perceived learning success. The present paper thus theoretically contributes to the scientific discussion concerning technology-mediated learning processes while also making a practical contribution by deriving implications for LMS application
Blind to Time? Temporal Trends in Effect Sizes in IS Research
This research-in-progress paper describes cumulative meta-analysis, or meta-trend analysis, a form of meta-analysis that considers temporal trends in effect sizes. While this method is common in medical sciences, it is just starting to gain traction in behavioral research, and temporal trends have typically not been addressed in IS research. A review of 64 meta-analysis papers from 15 IS journals confirms that IS research is generally blind to time. No IS paper has employed meta-trend analysis to test for temporal trends, and less than a quarter of the papers reviewed have any treatment or mention of the possible impact of time. Support from ecological systems theory, in particular the idea of proximal processes, is used to explain why IS researchers may expect temporal trends in effect sizes. To illustrate this, meta-trend analysis is conducted on several frequently examined relationships between IS constructs. Preliminary evidence of temporal trends is observed
Self-Efficacy in Situation Background Assessment and Recommendation Communication Using Information Technology in Baccalaureate Nursing
Strong communication skills are essential in establishing a foundation for safe delivery of care. A report from the Institute of Medicine (IOM) titled: To Err is Human: Building a Safer Health System estimated 44,000 to 98,000 deaths occur due to medical errors annually. Communication failure was found to be the root cause in 70% of these cases of medical error. Several studies also indicate communication issues still represent up to 80% of errors and sentinel events in hospitals accredited by the Joint Commission. The IOM\u27s report indicate improving communication in the healthcare setting is essential in reducing medical errors.
In a second landmark publication, Crossing the Quality Chasm: A New Health System for the 21st Century, a key finding identified information and communication technology as critical to achieving safe delivery of patient care. Additionally, the report highlighted that information and communication technology (IT) and the IT demands impose the need for nursing education to prepare the entry-level nurse in the knowledge, skills, and abilities to communicate effectively using IT in patient care.
The purposes of this study were three-fold: (a) describe the web messaging communication ability of a convenience sample of senior nursing students in a baccalaureate program using the Situation, Background, Assessment, and Recommendation (SBAR) communication format in an IT web messaging application; (b) describe nursing students’ self- efficacy associated with SBAR communication in IT web messaging; and (c) determine the relationship between web messaging self-efficacy and web messaging communication ability using the SBAR method.
This quantitative study used a cross-sectional, descriptive, correlational design with a convenience sample of one group of senior baccalaureate nursing students at a private university in the Pacific Northwest to explore the relationships among web messaging self-efficacy, SBAR knowledge, and SBAR web messaging communication ability in the IT environment. The study was informed by aspects of two theoretical frameworks: Benner’s (1984) novice to expert theory and Bandura’s (1977, 1986) social learning theory of self-efficacy. Aspects of each framework contributed to the model that guided this study.
Results of this study have the potential to influence educational intervention designs to address frequently encountered healthcare team and patient communication failures
The conceptualization and investigation of user capital and its impact on effective use and information systems success
The use and success of Information Systems (IS) is becoming increasingly reliant on users. Therefore, this study sought to develop and test a construct around the notion of User Capital, which this research defines as the attributes possessed by an individual that enable them to use an IS to perform tasks. User Capital was formed by the dimensions of self-regulation, competence, mastery orientation, and attitude. To test the construct a largely quantitative field study approach was adopted. User Capital was found to be a significant driver of effective use and a key construct in the examination of IS success
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Affective Responses to Technology Use: Examining the Dark Side, Exploring the Bright Side
The study of individual, affect-related consequences from technology adoption and use is gaining traction in the information systems (IS) discipline. Efforts to explore affective reactions to technology have considered various positive, affective constructs (e.g., enjoyment, computer playfulness, and flow), with a more recent focus on the dark side of technology use and constructs such as technostress, technophobia, and computer anxiety. While some research has examined these negative affective responses to technology, construct definitions and relationships are not well-defined or theoretically grounded. A recent theoretical advance in IS, the Affective Response Model (ARM) categorizes affective responses to technology based on five dimensions. This three-paper dissertation explores negative affective responses to technology by (1) synthesizing the IS literature through the application of ARM, (2) proposing new affective concepts, and (3) theorizing about and testing the relationships between relevant antecedents and outcomes of these affective responses.
In paper one, an integrative literature review is conducted on computer anxiety, technophobia and technostress, the main negative affective concepts in the IS literature. The known antecedents, dimensions, and outcomes of each concept are organized into nomological networks. These nomological networks are then combined to identify inconsistencies and omissions in the literature. Further, the ARM taxonomy is applied to differentiate the three constructs and to introduce technology-induced state anxiety (TISA), a new temporal (state-like) negative response to a specific instance of technology. Two empirical studies are conducted using existing and newly developed scales, and demonstrate that computer anxiety, technophobia, technostress and TISA are conceptually and empirically distinct, laying a foundation for further exploration of how these constructs are related.
In paper two, much of the integrated nomological network from paper one is tested in the context of a laboratory experiment with a spreadsheet application. The relationship between computer anxiety, technostress and TISA is explored in more depth with the mediating influence of technostress on TISA proposed and confirmed. ARM is further extended in two ways (1) by demonstrating the impact of the characteristics of the task/organizational context, a new category of antecedents identified from paper one, and (2) connecting affective responses to computing performance outcomes (e.g. satisfaction with performance, expected future performance, and an objective measure of task accuracy). Finally, this paper concludes by evaluating how the relationship between antecedents, affective responses and performance outcomes may change with system experience. The laboratory experiment is repeated after six weeks of regular system usage to test whether the strong influence of TISA observed at time 1 diminishes as expected.
In paper 3, the research model from paper 2 is expanded by integrating positive affective concepts. It is known that positive and negative concepts are distinct and individuals can experience high levels of both positive and negative affect at the same time. Therefore, ARM is further extended by demonstrating the practical and theoretical importance of considering both positive and negative affective responses. This paper explores the domain of a less structured creative task, employing a laboratory experiment in which participants design a flyer. Computer anxiety, technostress and TISA are measured alongside enjoyment, and two newly proposed concepts, technomancy and computer enthusiasm. The unique impact of these positive and negative affective responses on performance outcomes is demonstrated. Lastly, the intervention effect of a positive mood is evaluated experimentally. Participants in a positive mood prior to working on the design task experienced more enjoyment. Those assigned a more difficult task and a less usable technology also experienced less TISA due to being in positive mood state. Positive mood also had a helpful indirect effect on performance outcomes.
The findings from the three dissertation papers have important theoretical and practical implications. A major IS theoretical framework is meaningfully applied to negative affective concepts and extended. Second, this work offers more detailed explanation of what antecedents influence certain affective concepts more, building on the omnibus and reciprocal propositions in ARM. Third, this work formally connects affective responses to computing performance outcomes. Lastly, the added benefit of considering positive concepts side-by-side with negative concepts is demonstrated. Focusing on the dark side alone is both theoretically incomplete and practically misleading.
There are also important implications for practitioners. It is shown that minimizing TISA is especially critical in the early stages of using a system, as TISA is the affective concept driving performance outcomes the most at that time. This idea holds true for both structured computing tasks and less structured, creative tasks. Also, establishing a positive mood prior to engaging with the system heightens the enjoyment experienced and reduces TISA under very challenging situations, for instance when the technology is less usable and task requirements are high. This finding confirms that a positive mood can be a positive balancing force to negative affect, indirectly preserving performance outcomes. Finally, the concluding chapter of this dissertation discusses several future research directions that build on this work