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Bui, Tuyen; Yen, Jerome; Hu, Jiuru; Sankaran, Siva

doi:10.1023/a:1012441210338

Cited by 42 publications

(2 citation statements)

References 11 publications

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“…Further, the respondents with a mean of 3.96 agreed that their Devolved systems of government consider a number of multiple attributes when selecting negotiation approaches and capabilities of suppliers. This study is in harmony with the study of (Bui et al, 2001) who found out that negotiation approaches should consider multiple attributes and be capable of optimizing both buyer and supplier interests. Also, a study by Warkentin et al (2001) emphasized that there is need for structured negotiations in business-tobusiness (B2B) exchanges and has suggested that digital transactions must support negotiations between buyers and suppliers.…”

Section: Descriptive Statisticssupporting

confidence: 68%

Strategic negotiation on the performance of government’s devolved systems in Kenya

Chepng'etich

2020

IJRBS

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The aim of this study was to investigate the influence of strategic negotiation on the performance of Devolved systems of governments in Kenya, the study adopted a cross-sectional survey design using both quantitative and qualitative approaches. The target population for this study consisted of the 47 county governments in Kenya, the sample size comprised of 10 counties namely; Garissa, Kisii, Nyamira, Narok, Marsabit, Murang’a, Bomet, Nairobi, Kiambu, and Homa Bay, and the respondents ware specifically employees working under finance and procurement department. The study utilized stratified random sampling to pick 186 respondents from the finance and procurement departments. Descriptive and inferential statistics were aided by Statistical Packages for Social Sciences version 24. Hypothesis testing was carried out using multiple regression analysis and standard F tests. The study concluded that strategic negotiation practice has a moderate positive correlation with the performance of devolved systems of government in Kenya using the Pearson correlation coefficient. The study found out that if the management could adopt strategic negotiation, it could increase the performance of devolved systems of government. The study further, therefore, concluded that devolved systems of government strategically have adopted the use of negotiations for various reasons such as to obtain fair prices for the specified quality of the item, agree on delivery period, decide on the packaging, packing, and method of transportation, agree on the payment terms and many other reasons.

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Section: Descriptive Statisticssupporting

confidence: 68%

Strategic negotiation on the performance of government’s devolved systems in Kenya

Chepng'etich

2020

IJRBS

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“…However, for decades most researchers have not coped well with flood related activities [6]. Two measures were recommended to overcome disaster [5]. One is to ward off the disaster and two, to design an emergency system besides disaster preparedness and operation plans.…”

Section: Introductionmentioning

confidence: 99%

Flood Pattern Detection Using Sliding Window Technique

Ku-Mahamud

Zakaria

Katuk

et al. 2009

2009 Third Asia International Conference on Modelling &Amp; Simulation

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Patterns could be discovered from historical data and can be used to recommend decisions suitable for a typical situation in the past. In this study, the sliding window technique was used to discover flood patterns that relate hydrological data consisting of river water levels and rainfall measurements. Unique flood occurrence patterns were obtained at each location. Based on the discovered flood occurrence patterns, mathematical flood prediction models were formulated by employing the regression technique. Experimental results showed that the mathematical flood prediction models were able to produce good prediction on the flood occurrences. Results from this study proved that sliding window technique was able to detect patterns from temporal data. It is also considered a sound approach to adopt in predicting the flood occurrence patterns as it requires no prior knowledge as compared to other approaches when dealing with temporal data.

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