Uncertainty in best value decision making

Phillips, Stephen; Martin, Jim; Dainty, Andrew R.J.; Price, Andrew D.F.

doi:10.1108/13664380780001094

Cited by 5 publications

(9 citation statements)

References 6 publications

(9 reference statements)

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“…The methodology underpinning the support tool has already been used by RSL's to assist them in best value decision making processes (Phillips et al, 2007) and as the support tool has been produced as windows based software it is anticipated that it can be used to assist RSL's in evaluating the high volume of best value tenders in a more effective and efficient manner.…”

Section: Best Value Tendersmentioning

confidence: 99%

Analysis of the quality attributes used in establishing best value tenders in the UK social housing sector

Phillips

Martin

Dainty

et al. 2008

Engineering, Construction and Architectural Management

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PurposeA number of studies have highlighted the problems and challenges that have been encountered with the analysis of best value and partnering tenders carried out in the UK public sector. One of the principal issues is that client organisations and decision makers have to assess numerous diverse quality attributes as part of the contractor selection process. The purpose of this paper is to present the findings of research, which aimed to identify the core factors, which could be used to differentiate bids in the context of social housing.Design/methodology/approachA questionnaire was sent to a cross‐section of stakeholders within the social housing sector asking the respondents to rank the importance of 35 attributes with respect to selecting a successful contractor. The responses were subjected to principal component analysis to detect a structure in the relationship between the attributes and classify the attributes into a set of factors.FindingsThe results indicate that the 35 attributes could be grouped together and reduced to ten core factors.Practical implicationsApplication of the results could enable the stakeholders to streamline the tender analysis procedure allowing the high volume of tenders to be dealt with more effectively and efficiently.Originality/valueIt is not expected that client organisations would limit their tender analysis to the ten core factors only. They are not intended to be prescriptive and the paper only provides a starting point in using them in the choice of contractor selection quality attributes.

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Section: Best Value Tendersmentioning

confidence: 99%

Analysis of the quality attributes used in establishing best value tenders in the UK social housing sector

Phillips

Martin

Dainty

et al. 2008

Engineering, Construction and Architectural Management

Self Cite

View full text Add to dashboard Cite

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“…The technique can incorporate the reality of uncertainty, i.e. the existence of multiple factors involved in a decision making process (see for example, Phillips, Martin, Dainty, & Price, 2007;Wu, Lee, Tah, and Aouad , 2007). AHP has been applied in multiple industry contexts, e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

“…AHP has been applied in multiple industry contexts, e.g. petroleum (Dey, 2001), construction (Phillips, Martin, Dainty, & Price, 2007), textile (Shyjith, Ilangkumaran, and Kumanan, 2008); bridge construction (Dabous & Alkass, 2010); and bidding evaluation (Sipahi and Esen, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

Estimating the Prominence of AHP in Subscribed Online Databases

Ismail¹,

Hasbullah²,

Faudzi³

et al. 2013

Proceedings of the International Symposium on the Analytic Hierarchy Process

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Subscribed online databases (ODB's) have become part of the standard infrastructure of library resources. For students and instructors of higher learning institutions in particular, availability of online access permits users to access the library resources remotely. The main objective of the study was carried out to determine which among the online databases subscribed by a public university library, i.e. International Islamic University Malaysia, contained the specific topics related to Analytic Hierarchy Process (AHP). The five databases used in this study were Scopus, Taylor & Francis, EconLit, Emerald Management Xtra Plus and ProQuest Social Science Journals. By resorting to the original terms supplied by the AHP 2013 conference organizers, the study has obtained validated terminology from the experts and readily overcame issues such as biasness in selecting the search terms. This study accessed the databases on 14 April 2013 from 12.15 a.m. to 2.15 a.m., recorded the results or hits produced by the selected ODB's on the generic sub-theme and also those that were embedded with the acronym, AHP. Comparative hits from generic and AHP specific were computed using ratios to determine comparative availability of selected sub-themes across databases. The ratios were computed by dividing the results of each sub-theme for each ODB over the latter's total. The ratios are considered a convenient standard comparative measure for each sub-theme in each database. By knowing the ratios, one is able to approximate whether there are apparently enough articles about a sub-theme. Computed ratios indicate whether the AHP results are equal to, lower or higher than the general. Equality is reflected by 1.00; if AHP is higher than general then the ratio should be above 1.00, and if below 1.00 should be lower than the general. Results show that

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“…The decision maker has to make a decision in absence of complete information. Phillips, Martin, Dainty, & Price (2007) accommodated the multi objective decision making process within the UK construction industry. Also in UK construction industry, Wu, Lee, Tah, and Aouad (2007) employed multi-attribute AHP to determine the priority of the accessibility criteria.…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

“…In addition to multi attributes, AHP has been used in different industries, such as petroleum (Dey, 2001), construction (Phillips, Martin, Dainty, & Price, 2007;Wu, Lee, J.H.M. Tah, and Aouad, 2007), textile (Shyjith, Ilangkumaran, and Kumanan, 2008); bridge construction (Dabous & Alkass, 2010); and bidding evaluation (Sipahi and Esen, 2010) and a tender decision process (Phillips, Martin, Dainty, & Price, 2007).…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Estimating the Prominence of AHP in a Selected Internet Search Engine

Ismail¹

2013

Proceedings of the International Symposium on the Analytic Hierarchy Process

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Internet has become an instant source of information for almost anyone. By viewing the results of search terms displayed by an Internet Search Engine (ISE), a person may decide his next course of action whether to continue using the Internet, abort or to combine it with other sources of information. The results produced by an ISE can be regarded as an index of relative availability of references. Given a list of suitable search terms, a user will firstly have to decide on the ISE to be used. Due to huge potential references available for given search terms the user has to create heuristics to choose the entries shown on the computer screen. As there are varying breadths and depths of information revealed by various Internet Search Engines (ISE's), this paper will not attempt to make a comparison among ISE's, rather will focus only on a particular search engine and ascertain the results it produces given a list of search terms. Google is chosen as a proxy, being one of the most popular ISE's. By confining to only a search engine, the study affords to control variability among ISE's should multiple ISE's be used. With the search engine placed under control, it is easy to achieve the primary objective of the study, i.e., to ascertain availability of relative breadth of sub-themes of Analytic Hierarchy Process (AHP) in Google. It is natural for user, especially researcher to be concerned with number, quantity. If there is seemingly abundant literature, one would be motivated to pursue research along the theme or sub-theme. In this study, the strength of presence of a sub-theme is measured by using two measures: (i) result of a sub-theme of AHP over the sub-theme itself, and (ii) result of the sub-theme over the total results generated for all of the thirty six sub-themes used in the search. This study controlled biasness in specifying the sub-themes of AHP by adopting the sub-themes or search terms specified by the 2013 AHP conference organizers. This decision helps make the study efficient without with it has to distill the sub-themes by surveying the AHP literature. The data for analysis was gathered by surfing Google on 26 Feb 2013 8.55 p.m.-9.26 p.m. Peninsular Malaysian time. The search results were computed to generate two types of ratios specified earlier. A composite index was created using the resulting two types of ratios which are used to classify the efficiency, hence dominance of the original results (hits). Kendall's correlation produced statistically significant correlations between the composite index and Rank of AHP specific and area results. Using indices greater than 1.000 as the base, 6 AHP specific areas occupy the top positions with ratios ranging from 19.341 to 61.574; 15 AHP specific areas occupy the second top positions with ratios ranging from 1.119 to 9.602, and 14 AHP specific areas occupy the third and last position with indices below 1.000 ranging from 0.050 to 0.894. The paper includes discussion, implications, limitations, conclusions and suggestions for further research.

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Uncertainty in best value decision making

Cited by 5 publications

References 6 publications

Analysis of the quality attributes used in establishing best value tenders in the UK social housing sector

Analysis of the quality attributes used in establishing best value tenders in the UK social housing sector

Estimating the Prominence of AHP in Subscribed Online Databases

Estimating the Prominence of AHP in a Selected Internet Search Engine

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