IEEE Transactions on Engineering Management
About: IEEE Transactions on Engineering Management is an academic journal. The journal publishes majorly in the area(s): New product development & Project management. It has an ISSN identifier of 0018-9391. Over the lifetime, 2470 publication(s) have been published receiving 92615 citation(s).
Topics: New product development, Project management, Supply chain, Innovation management, Technology management
Papers published on a yearly basis
TL;DR: A review and meta-analysis of seventy-five articles concerned with innovation characteristics and their relationship to innovation adoption and implementation was performed in this article, where three innovation characteristics (compatibility, relative advantage, and complexity) had the most consistent significant relationship with innovation adoption.
Abstract: A review and meta-analysis was performed of seventy-five articles concerned with innovation characteristics and their relationship to innovation adoption and implementation. One part of the analysis consisted of constructing a methodological profile of the existing studies, and contrasting this with a hypothetical optimal approach. A second part of the study employed meta-analytic statistical techniques to assess the generality and consistency of existing empirical findings. Three innovation characteristics (compatibility, relative advantage, and complexity) had the most consistent significant relationship to innovation adoption. Suggestions for future research in the area were made.
TL;DR: Techniques are shown which acknowledge circuits in the design of systems, showing where estimates are to be used, how design iterations and reviews are handled, and how information flows during the design work, to develop an effective engineering plan.
Abstract: Systems design involves the determination of interdependent variables. Thus the precedence ordering for the tasks of determining these variables involves circuits. Circuits require planning decisions about how to iterate and where to use estimates. Conventional planning techniques, such as critical path, do not deal with these problems. Techniques are shown which acknowledge these circuits in the design of systems. These techniques can be used to develop an effective engineering plan, showing where estimates are to be used, how design iterations and reviews are handled, and how information flows during the design work. This information flow can be used to determine the consequences of a change in any variable on the rest of the variables in the system, and thus which engineers must be informed and which documents must be changed. From this, a critical path schedule can be developed for implementing the change. This method is ideally suited to an automated design office where data, computer input and output, and communications are all handled through the use of computer terminals and data bases. However, these same techniques can also be effectively used in classical engineering environments.
TL;DR: This paper reviews two types of DSM, static and time-based DSMs, and four DSM applications, effective for integrating low-level design processes based on physical design parameter relationships and leads to conclusions regarding the benefits of DSMs in practice and barriers to their use.
Abstract: Systems engineering of products, processes, and organizations requires tools and techniques for system decomposition and integration. A design structure matrix (DSM) provides a simple, compact, and visual representation of a complex system that supports innovative solutions to decomposition and integration problems. The advantages of DSMs vis-a-vis alternative system representation and analysis techniques have led to their increasing use in a variety of contexts, including product development; project planning, project management, systems engineering, and organization design. This paper reviews two types of DSMs, static and time-based DSMs, and four DSM applications: (1) component-based or architecture DSM, useful for modeling system component relationships and facilitating appropriate architectural decomposition strategies; (2) team-based or organization DSM, beneficial for designing integrated organization structures that account for team interactions; (3) activity-based or schedule DSM, advantageous for modeling the information flow among process activities; and (4) parameter-based (or low-level schedule) DSM, effective for integrating low-level design processes based on physical design parameter relationships. A discussion of each application is accompanied by an industrial example. The review leads to conclusions regarding the benefits of DSMs in practice and barriers to their use. The paper also discusses research directions and new DSM applications, both of which may be approached with a perspective on the four types of DSMs and their relationships.
TL;DR: In this paper, the authors describe a process used to determine critical success factors that are felt to be predictive of successful project management and link these ten factors in an interdependent quasi-sequential framework.
Abstract: This paper describes a process used to determine critical success factors that are felt to be predictive of successful project management. Full time managers who have had experience with projects were used to generate critical success factors that they felt to be crucial to successful project implementation. Ten factors were discovered that relate well to previous theoretical formulations in the literature. In addition, these ten factors have been linked together in an interdependent quasi-sequential framework. This research has provided the basis for developing a behavioral instrument to be used as a diagnostic for assessing the status of any project as determined by the ten factor model.
TL;DR: This study describes a free-simulation experiment that compares the degree and relative importance of customer trust in an e-vendor vis-a-vis TAM constructs of the website, between potential and repeat customers, and finds that repeat customers trusted the e-Vendor more, perceived the website to be more useful and easier to use, and were more inclined to purchase from it.
Abstract: An e-vendor's website inseparably embodies an interaction with the vendor and an interaction with the IT website interface. Accordingly, research has shown two sets of unrelated usage antecedents by customers: (1) customer trust in the e-vendor and (2) customer assessments of the IT itself, specifically the perceived usefulness and perceived ease-of-use of the website as depicted in the technology acceptance model (TAM). Research suggests, however, that the degree and impact of trust, perceived usefulness, and perceived ease of use change with experience. Using existing, validated scales, this study describes a free-simulation experiment that compares the degree and relative importance of customer trust in an e-vendor vis-a-vis TAM constructs of the website, between potential (i.e., new) customers and repeat (i.e., experienced) ones. The study found that repeat customers trusted the e-vendor more, perceived the website to be more useful and easier to use, and were more inclined to purchase from it. The data also show that while repeat customers' purchase intentions were influenced by both their trust in the e-vendor and their perception that the website was useful, potential customers were not influenced by perceived usefulness, but only by their trust in the e-vendor. Implications of this apparent trust-barrier and guidelines for practice are discussed.
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