Search results

The fear of receiving a bid protest is said to affect acquisition strategies, yet it has not been empirically explored. Based on the Public Value Framework and interviews with contracting personnel, this research tests a model of antecedents to and consequences of the fear of a protest. Survey data was obtained from a sample of 350 contracting personnel. The fear of protest is mitigated by having sufficient procurement lead time and by source selection experience, and increased by protest risk. Fear of protest increases compromised technical evaluations, added procurement lead time, and transaction costs, while it decreases contracting officer authority and is associated with source selection method inappropriateness. Compromised technical evaluations, in turn, decrease contractor performance while contracting officer authority increases contractor performance. Thus, findings suggest that, indeed, the tail is wagging the dog. The research concludes with several managerial implications, study limitations and future research directions.

The purpose of this research is to explore the effects of supplier selection method on key procurement outcomes such as procurement lead time (PLT), supplier performance and buyer team size.

Data were collected from a sample of 124 archival contract records from the US Department of Defense. A multiple regression model and multivariate analysis of covariance/analysis of covariance models were used to test the effects of source selection method on pertinent procurement outcomes.

The trade-off (TO) source selection method increases PLT, as does the number of evaluation factors and the number of proposals received. Substantially larger sourcing teams are also associated with the TO source selection method. Nonetheless, the TO method results in better supplier performance.

TO source selections yield superior supplier performance than low-bidder methods. However, they are costly in terms of time and personnel. Any assessment of supplier value should consider not only the price premium for higher performance but also the transaction costs associated with the TO method.

Very little research addresses a buying team’s evaluation of supplier-offered value ex ante and whether that value assessment materializes into actual value-added supplier performance. Low bidder tactics are pervasive, but price (i.e. sacrifice) is only one component of value. Benefits from superior supplier performance may yield greater overall value. If value is critical to the buyer, a TO source selection method – versus a low-bidder approach – is the appropriate tool because of higher supplier performance ex post.

Small businesses are critical to economic health and encouraged in government spending by set-asides – annual small business sourcing goals that often are not attained. Little research has explored the negative and risky stigmas associated with small business sourcing.

This research explores reduced transaction costs of small business sourcing to government buyers. A survey of 350 government source selections reveals lower transaction costs derived from lower perceived risk of receiving a bid protest and via more efficient source selection processes.

Contrary to common bias, the performance level of small businesses is no less than that of large business. Thus, small businesses engender lower transaction costs for correcting supplier’s performance. On the basis of these findings, managerial and theoretical implications are discussed.

The purpose of this paper is to compare and contrast research on collaborative information seeking (CIS) and expertise seeking (EXS) to identify focal themes, blind spots, and possibilities for cross-fertilization.

Existing research was reviewed. The review consisted of a content analysis of 70 (CIS) and 72 (EXS) studies with respect to the context, scope, process, and setting of CIS and EXS, supplemented with a bibliometric analysis of the references in the reviewed studies.

In CIS, the context is a group of actors collaborating on a shared task. In EXS, the information need is held by an individual but resolved by consulting other people. While the typical scope of EXS studies is source selection, CIS studies mostly concern the consultation of the sources and the use of the obtained information. CIS and EXS studies also attend differentially to the information-seeking process. Only 4 percent of the references in the reviewed studies are cited in both CIS and EXS research. The author concludes that, at present, CIS and EXS are different discourses about similar issues.

Increased interaction between CIS and EXS will advance research in both areas and prevent duplication of effort. Topics for future research are identified. It should be noted that the findings are limited to the 142 studies reviewed.

By analyzing CIS in the context of EXS, and vice versa, this study provides a fresh look at the information-seeking research that attends to collaboration.

The successful provision of context‐awareness in pervasive environments requires the support of autonomic management facilities that provide ways to efficiently acquire and use contextual information. This paper claims that in order to offer viable context‐aware services, the issue of context imperfection and aging as well as the alignment of the context information that is used by a service with the customized service objectives should be taken into account. It presents an approach for managing the selection of context sources considering the freshness and actuality of the available information, and dynamically adapting to any source change and failure. Accordingly, there is no need to know beforehand the context sources to obtain the required information, but a quality‐aware discovery of the sources is envisioned. Finally, the proposed approach allows services to be ported easily to an environment with a different set of context sources.

Argues that the growing availability of information, especially from electronic sources, offers both potential and problems for the researcher. Increasingly, information has become a commodity, commissioned for a specific purpose and shaped to fit the needs of the commissioner. It follows that user requirements will dictate not just the research remit (what information to collect) but also the selection criteria (why the information is needed). Establishing why information is needed is an integral step in deciding on the particular focus or slant that any search strategy, and subsequent information analysis, must take. A comprehensive, or indeed a balanced, collection of information may be neither necessary nor desirable. End users may only require information that will support their information need. Choice of information sources will also be governed by these information needs, and their selection is a vital factor in the provision of useful, relevant information and its successful communication to the end user.

Modern Enterprise Web Application development can exploit third-party software components, both internal and external to the enterprise, that provide access to huge and valuable data sets, tested by millions of users and often available as Web application programming interfaces (APIs). In this context, the developers have to select the right data services and might rely, to this purpose, on advanced techniques, based on functional and non-functional data service descriptive features. This paper focuses on this selection task where data service selection may be difficult because the developer has no control on services, and source reputation could be only partially known.

The proposed framework and methodology are apt to provide advanced search and ranking techniques by considering: lightweight data service descriptions, in terms of (semantic) tags and technical aspects; previously developed aggregations of data services, to use in the selection process of a service the past experiences with the services when used in similar applications; social relationships between developers (social network) and their credibility evaluations. This paper also discusses some experimental results regarding the plan to expand other experiments to check how developers feel using the approach.

In this paper, a data service selection framework that extends and specializes an existing one for Web APIs selection is presented. The revised multi-layered model for data services is discussed and proper metrics relying on it, meant for supporting the selection of data services in a context of Web application design, are introduced. Model and metrics take into account the network of social relationships between developers, to exploit them for estimating the importance that a developer assigns to other developers’ experience.

This research, with respect to the state of the art, focuses attention on developers’ social networks in an enterprise context, integrating the developers’ credibility assessment and implementing the social network-based data service selection on top of a rich framework based on a multi-perspective model for data services.

At Kean University, a comprehensive teaching institution, the submission of new library book orders by faculty is a long‐standing practice. In order to identify and assess the academic characteristics of faculty selectors as well as the audience, purpose, criteria, and sources prioritized by faculty selectors when submitting new requests, the library conducted a survey. The survey results indicated that, at Kean, the faculty of Liberal Arts and faculty with 1‐5 years of teaching across all disciplines were the most active in their participation in book selection. The findings also showed that Kean’s faculty ordered books mainly for undergraduate students and teaching; and primarily used publishers’ catalogs and professional journal book reviews for selection sources. This research study provides measurable data and constructive feedback for a comprehensive university library to enhance and facilitate the faculty book selection process effectively.

The purpose of this paper is to explore multiple factors affecting online library resource selection by undergraduate students. Three dimensions of factors are investigated including usefulness and ease-of-use, resource quality, and individual differences.

An instrument was developed to measure various aspect factors and online library resource use intention. A survey was administered to 332 undergraduate students. Quantitative analysis, including structural equation modeling, ANOVA, and t-tests, was used to statistically examine the effects of the identified 11 factors on the use intention of online library resources.

The findings indicated that both usefulness and ease-of-use positively influenced the undergraduates’ use intention of online library resources. Also, five resource quality constructs – accessibility, credibility, coverage, currency, and format – were the determinants of online library resources use intention. Interestingly, the effect of accessibility was the strongest, while that of credibility was the weakest. In addition, this study found that familiarity with sources and use of good search skills had a significant effect on users’ use intention at the individual user level.

This study is one of the few studies investigating multiple factors comprehensively that influence online library resource selection.

This systematic literature review aims to elaborate on the research progress and features of information source preferences to help other researchers attain a more comprehensive understanding of the field.

Following a systematic review protocol, 139 research articles from 11 academic databases were analyzed.

Overall, five separate results were obtained: first, information source horizon theory is the main theoretical foundation of information source preferences research, while other theories have been applied less. Second, information source preference research has strong context sensitivity and involves health, work, consumption, learning, survival and development and emergencies. Third, preference criteria can be summarized into three categories: information characteristics, user characteristics, needs characteristics and corresponding specific criteria. Fourth, information source preferences are influenced by both internal and external factors, including five specific aspects, namely demographics, the user's cognition, the user's affection, capital and contextual factors. Fifth, this field is dominated by quantitative methods and an information horizon mapping method could be applied more.

This study is the first to reveal the general picture of information source preferences. It also elaborates on the characteristics of this field and presents potential development directions.