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Temporal Model (temporal + model)

Distribution by Scientific Domains
Business, Economics, Finance and Accounting75%

Selected Abstracts

Modeling the knowledge perspective of IT projects

PROJECT MANAGEMENT JOURNAL, Issue S1 2008
Blaize Horner Reich
Abstract Information technology (IT) projects are often viewed as arenas in which action is paramount, and tasks, budgets, people, and schedules need to be managed and controlled to achieve expected results. This perspective is useful because it encourages the project manager to scope work, manage time and budget, and monitor progress. Another perspective views a project as a place where learning and knowledge is paramount. In this view, projects are seen as a conduit for knowledge, which enters through people, methodologies, and prior learning. During the project, knowledge must be transferred, integrated, created, and exploited to create new organizational value. Knowledge is created, and knowledge can be lost. Within an IT project, this focus on knowledge yields new insights, because IT projects are primarily knowledge work. From this perspective, the project manager's primary task is to combine multiple sources of knowledge about technologies and business processes to create organizational value. These and other views of the IT project are complementary. However, this article focuses only on the knowledge perspective, leaving aside other views. This article is designed to bring together the empirical literature, which has investigated the impact of knowledge perspectives on IT project performance, and to suggest a temporal model of this perspective. In the first part of this article, we consider the knowledge-based view of an IT project and suggest definitions and a typology of knowledge. Then the knowledge risks model (Reich, 2007) is used as a framework within which to collect and examine the empirical data that support the knowledge-based view of an IT project. In the third part of this article, the problem of modeling knowledge and learning within IT projects is addressed. The study begins with the Temporal Model of IT Project Performance (Gemino, Reich, & Sauer, 2008) and discusses evidence that its knowledge-based constructs and subconstructs are influential with respect to project performance. The article ends by proposing a temporal model of the knowledge perspective of an IT project. There are five constructs in this model: knowledge resources, knowledge creation, knowledge loss, project performance, and learning. The content of these constructs and their expected interaction is discussed. Although this stream of work is at its early stages, hopefully it will convince researchers that further investigation into knowledge and learning within projects is warranted because it has the potential to impact both the theory and performance of IT projects. [source]

A model of wine tourist behaviour: a festival approach

INTERNATIONAL JOURNAL OF TOURISM RESEARCH, Issue 3 2008
Jingxue (Jessica) Yuan
Abstract The study constructs a temporal model of wine tourist behaviour on the basis of the social psychologist' theory of consumer attitudes and related concepts with regard to past behaviour, satisfaction, perceived value and behavioural intentions. More importantly, this study added two dimensions to this model by proposing that satisfaction and perceived value had an impact on the attendees' intentions (i) to visit a local winery and (ii) to buy local wine products. Using a path analysis approach and data collected from the attendees at a regional wine festival, the study examined the above relationships. The results of this path analysis can be summarised as: (i) past behaviour influenced the intention to revisit and the level of perceived value, but had no effect on the level of satisfaction; (ii) perceived value strongly affected the level of satisfaction; (iii) satisfaction had a strong impact on future intentions to revisit and also an effect on intentions to visit local wineries and to buy local wine products; and (iv) perceived value affected the intentions to revisit the festival and to visit local wineries but did not influence the intentions to buy local wines. It is believed that the results of the present study will be useful to organisers of wine festivals and/or wine tourism developers. Copyright © 2008 John Wiley & Sons, Ltd. [source]

Toward Deterministic Material Removal and Surface Figure During Fused Silica Pad Polishing

JOURNAL OF THE AMERICAN CERAMIC SOCIETY, Issue 5 2010
Tayyab I. Suratwala
The material removal and surface figure after ceria pad polishing of fused silica glass have been measured and analyzed as a function of kinematics, loading conditions, and polishing time. Also, the friction at the workpiece/lap interface, the slope of the workpiece relative to the lap plane, and lap viscoelastic properties have been measured and correlated to material removal. The results show that the relative velocity between the workpiece and the lap (i.e., the kinematics) and the pressure distribution determine the spatial and temporal material removal, and hence the final surface figure of the workpiece. In cases where the applied loading and relative velocity distribution over the workpiece are spatially uniform, a significant nonuniformity in material removal, and thus surface figure, is observed. This is due to a nonuniform pressure distribution resulting from: (1) a moment caused by a pivot point and interface friction forces; (2) viscoelastic relaxation of the polyurethane lap; and (3) a physical workpiece/lap interface mismatch. Both the kinematics and these nonuniformities in the pressure distribution are quantitatively described, and have been combined to develop a spatial and temporal model, based on Preston's equation, called Surface Figure or SurF. The surface figure simulations are consistent with the experiment for a wide variety of polishing conditions. This study is an important step toward deterministic full-aperture polishing, allowing optical glass fabrication to be performed in a more repeatable, less iterative, and hence more economical manner. [source]

Modeling the knowledge perspective of IT projects

PROJECT MANAGEMENT JOURNAL, Issue S1 2008
Blaize Horner Reich
Abstract Information technology (IT) projects are often viewed as arenas in which action is paramount, and tasks, budgets, people, and schedules need to be managed and controlled to achieve expected results. This perspective is useful because it encourages the project manager to scope work, manage time and budget, and monitor progress. Another perspective views a project as a place where learning and knowledge is paramount. In this view, projects are seen as a conduit for knowledge, which enters through people, methodologies, and prior learning. During the project, knowledge must be transferred, integrated, created, and exploited to create new organizational value. Knowledge is created, and knowledge can be lost. Within an IT project, this focus on knowledge yields new insights, because IT projects are primarily knowledge work. From this perspective, the project manager's primary task is to combine multiple sources of knowledge about technologies and business processes to create organizational value. These and other views of the IT project are complementary. However, this article focuses only on the knowledge perspective, leaving aside other views. This article is designed to bring together the empirical literature, which has investigated the impact of knowledge perspectives on IT project performance, and to suggest a temporal model of this perspective. In the first part of this article, we consider the knowledge-based view of an IT project and suggest definitions and a typology of knowledge. Then the knowledge risks model (Reich, 2007) is used as a framework within which to collect and examine the empirical data that support the knowledge-based view of an IT project. In the third part of this article, the problem of modeling knowledge and learning within IT projects is addressed. The study begins with the Temporal Model of IT Project Performance (Gemino, Reich, & Sauer, 2008) and discusses evidence that its knowledge-based constructs and subconstructs are influential with respect to project performance. The article ends by proposing a temporal model of the knowledge perspective of an IT project. There are five constructs in this model: knowledge resources, knowledge creation, knowledge loss, project performance, and learning. The content of these constructs and their expected interaction is discussed. Although this stream of work is at its early stages, hopefully it will convince researchers that further investigation into knowledge and learning within projects is warranted because it has the potential to impact both the theory and performance of IT projects. [source]