The Diffusion of Second Generation Statistical Techniques in Information Systems Research from 1990-2008

Second generation statistical techniques like Structural Equation Modeling (SEM) are being used more frequently by IS researchers to evaluate theoretical models. The purpose of this study is three-fold. First, we aim to ascertain whether there is a “fit” between IS researchers choice of analytic method and theoretical models when they use second generation techniques. Second, we seek to determine the degree to which IS researchers have internalized knowledge about second generation techniques. Finally, we want to see how these factors have changed over time. Analysis of four leading IS journals between 1990 and 2008 matched the use of second generation techniques to rational reasons for using a specific analytic technique and the degree of knowledge internalization found in 265 published empirical articles. In the early period (1990-2002), we found the use of second generation techniques was not associated with rational choices or reasons for their use. In the later period (2003-2008), we found their use was associated with rational choice and there was a higher degree of knowledge internalization. Our findings suggest that, over time, researchers were able to leverage their internalized knowledge of second generation techniques when testing mediation and moderation models as indicated by the higher ratio of internal to external method citations. The paper concludes with implications for IS research

Uncertainty Types and Transitions in the Entrepreneurial Process

While judgment has hitherto typically been viewed as a discrete decision process, we propose that it be conceptualized instead as a continuous and dynamic process of reassessment and revision. Adopting this approach, we revisit the nature of entrepreneurial decision making under uncertainty. We begin with a novel typology of uncertainty that defines and delineates different types of uncertain contexts. We then examine the nature of decision making within these distinct contexts, highlighting differences in how entrepreneurs make decisions within different types of uncertainty. We build these insights into a theory of the entrepreneurial process that highlights the transitory nature of uncertainty as entrepreneurs make certain judgments and revise those judgments over time. We discuss how uncertainty transitions throughout the judgment process, how the judgment process continues dynamically even after a judgment is made, and how the nature of uncertainty shifts over time due to endogenous and exogenous change

Mixing and Demixing Processes in Multiphase Flows With Application to Propulsion Systems

A workshop on transport processes in multiphase flow was held at the Marshall Space Flight Center on February 25 and 26, 1988. The program, abstracts and text of the presentations at this workshop are presented. The objective of the workshop was to enhance our understanding of mass, momentum, and energy transport processes in laminar and turbulent multiphase shear flows in combustion and propulsion environments

The Impact of Individual Learning on Electronic Health Record Routinization: An Empirical Study

Since the passage of the HITECH Act, adoption of electronic health records (EHR) has increased significantly EHR refers to an electronic version of a patient’s medical history. The adoption of EHR has potential to reduce medical errors, duplication of testing, and delays in treatment. However, current literature indicates that implementation of EHR is not resulting in the automatic routinization of EHR. Routinization refers to the notion that truly successful technological innovations are no longer perceived as being new or out-of-the-ordinary. The complexity of EHRs allow individual users to use these systems at different levels of sophistication. Research shows that healthcare professionals are using non-standard ways to use or circumvent the EHR to complete their work and are limited in EHR systems use. Further, although workarounds may seem necessary to physicians and are not perceived to be problematic, they can pose a threat to patient safety and hinder the potential benefits. Hence, we argue the EHR implementations are limited in their potential due to the lack of routinization. Any new technological innovation requires the physician support and willingness to learn about the system to move to the routinization phase of implementation. Hence, we draw from the literature on organization learning, individual learning, and routines to understand factors that influence EHR routinization

The Impact of Individual Learning on Electronic Health Record Routinization: An Empirical Study

Since the passage of the HITECH Act, adoption of electronic health records (EHR) has increased significantly EHR refers to an electronic version of a patient’s medical history. The adoption of EHR has potential to reduce medical errors, duplication of testing, and delays in treatment. However, current literature indicates that implementation of EHR is not resulting in the automatic routinization of EHR. Routinization refers to the notion that truly successful technological innovations are no longer perceived as being new or out-of-the-ordinary. The complexity of EHRs allow individual users to use these systems at different levels of sophistication. Research shows that healthcare professionals are using non-standard ways to use or circumvent the EHR to complete their work and are limited in EHR systems use. Further, although workarounds may seem necessary to physicians and are not perceived to be problematic, they can pose a threat to patient safety and hinder the potential benefits. Hence, we argue the EHR implementations are limited in their potential due to the lack of routinization. Any new technological innovation requires the physician support and willingness to learn about the system to move to the routinization phase of implementation. Hence, we draw from the literature on organization learning, individual learning, and routines to understand factors that influence EHR routinization

Exploration of the relationship between self-compassion, alexithymia and emotion regulation in a clinical population.

Background: Negative forms of self-relating such as self-criticism and self-judgement are known to contribute to poor mental health across diagnoses including eating disorders. Negative self-relating can lead to avoidance or suppression of emotions, and poor attachment relationships can lead to deficits in self-reassuring abilities. Self-compassion is a construct which is gaining attention in clinical research as a potentially important and healthy way of relating to the self in the face of painful or difficult experiences. Systematic review: A systematic review of the literature eating disorders and self-compassion suggested that lower levels of self-compassion are related to worse eating disorder pathology, particularly emotional eating, and body image dissatisfaction. Findings suggest that self-compassion training may have a role in multimodal prevention and treatment approaches for eating disorders, disordered eating and body image problems, particularly bulimia or binge eating disorders. The role in restrictive eating behaviour is less clear and warrants further research. Aims: This study was a cross-sectional study design with a purpose of conducting Confirmatory factor analysis on the Self-Compassion Scale – Short Form, and correlational analysis of the relationship between self-compassion, (as measured on SCS-SF) with emotion regulation difficulties, alexithymia and distress. Participants and procedure: 297 people referred to an adult clinical psychology service in Scotland completed the SCS-SF and measures of emotion regulation, alexithymia and distress. Results: CFAs did not support six factor or hierarchical models for SCS-SF. Instead a two-factor model was supported. Correlation analysis indicated that self-compassion is inversely associated with difficulties in emotion regulation, alexithymia and distress. Hierarchical regression analyses indicated that self-compassion was a unique predictor of distress. Implications: Further clarification of the construct of self-compassion, its role in psychopathology and how it should be measured is required. It is important that as research involving self-compassion and its role in mental health services progresses, that psychometrically valid measures are employed. Furthermore, correlation and regression analyses suggest convergent validity for the construct of self-compassion, and support theoretical links with emotion regulation. Conclusions: Self-compassion appears to be an important variable in eating disorders pathology and appears to be linked with adaptive emotion regulation in clinical populations. However results suggest longitudinal research and a more robust measure is required for use in clinical populations, especially if information about facets of the construct are to be understood