Suchergebnisse

PurposeProcess modeling is a complex organizational task that requires many iterations and communication between the business analysts and the domain specialists. The challenge of process modeling is exacerbated, when the process of modeling has to be performed in a cross‐organizational, distributed environment. This paper aims to suggest a three‐dimensional (3D) environment for collaborative process modeling, using virtual world technology.Design/methodology/approachThe paper suggests a new collaborative process modeling approach based on virtual world technology. It describes the design of an innovative prototype collaborative process modeling approach, implemented as a 3D Business Process Modeling Notation (BPMN) modeling environment in Second Life. We use a case study to evaluate the suggested approach.FindingsBased on a case study application, the paper shows that our approach increases user empowerment and adds significantly to the collaboration and consensual development of process models even when the relevant stakeholders are geographically dispersed.Research limitations/implicationsThe paper presents design work and a case study. More research is needed to more thoroughly evaluate the presented approach in a variety of real‐life process modeling settings.Practical implicationsThe research outcomes as design artifacts are directly available and applicable by business process management professionals and can be used by business, system and process analysts in real‐world practice.Originality/valueThis research is the first reported attempt to develop a process modeling approach on the basis of virtual world technology. It describes a novel and innovative 3D BPMN modeling environment in Second Life.

The validity of true experiments is threatened by a class of self-report biases that affect all respondents at pretest but which are diminished by treatment, yielding noncomparable treated and control subjects at posttest. These biases include inaccurate self-evaluations due to (a) lack of understanding of dimensions of self-rating, (b) unconscious needs to rationalize sources of severe emotional distress, (c) distressed or altered states (e.g., drug states) that lower the ability to report accurately, and (d) deliberate impression management in service of accessing desired treatment. They are detectable via external criteria, special conditions of measurement, and retrospective pretests, and may be lessened in several ways. Unchecked, they produce treatment by self-report bias interactions that undermine the validity of even true experiments.

Evaluation researchers are often confronted with less than optimal conditions in which to design studies. When this occurs, researchers may be forced to utilize relatively weak designs that do not rule out all threats to internal validity. Using archival data from a sales campaign for a state lottery, this article illustrates a multiplist strategy (Cook, 1985) in which several complementary designs are utilized to help rule out the four threats to internal validity associated with the frequently utilized nonequivalent control group design. Specific methods for addressing each of these threats and strengthening the basic nonequivalent control groups design are also illustrated.

On September 16, 2021, the Catholic Law and The Catholic University of America communities celebrated Constitution Day by hosting an interdisciplinary discussion entitled, "Why the Constitution Still Matters," with Sarah H. Duggin, Professor of Law; Matthew Green, Department Chair & Professor of Politics; and Stephen A. West, Associate Professor of History. Professor Green, who teaches a variety of courses in American politics focusing on political institutions, state and local politics, federalism, and methodology, welcomed the group before introducing Professor Duggin and Professor West. Professor Duggin has expertise in constitutional law and Professor West focuses on American Civil War, Reconstruction, and Southern U.S. History. The discussion looked at why the constitution still matters from each of these academic perspectives.