How unit price awareness and usage encourages grocery brand switching and expenditure

2019 ◽  
Vol 49 ◽  
pp. 346-356 ◽  
Author(s):  
Gary Mortimer ◽  
Clinton S. Weeks
2020 ◽  
Vol 19 (10) ◽  
pp. 1965-1986
Author(s):  
T.A. Komkina ◽  
M.A. Nikonova ◽  
M.G. Dubinina

Subject. The article analyzes development trends in certain types of service robots, namely, hybrid UAVs, bionic prosthetic hands, robotic vacuum cleaners. Objectives. We focus on identifying the main trends in the development of certain types of service robots, building dynamic models of their technical indicators and models of dependence of their price and weight on absolute characteristics and technical parameters. Methods. The study employs methods of correlation and multiple regression analysis. The data of the IFR, the Remotely Piloted Aircraft System, and websites of robot manufacturers serve as the informational basis of the paper. Results. The modeling unveils positive correlation between the integrated indicator of the technical level of hybrid UAVs of convertiplane type and the wingspan. The analysis of modern bionic prosthetic hands shows that the developers focus on optimizing the structure of the prosthetic, however, as the functions of the hand improve, the weight of bionic hand increases. The main factors influencing the price of robot vacuum cleaners are their power, weight, and operating hours. Conclusions. The unit price of a complex indicator of the technical level of hybrid UAVs is lower than the corresponding indicator of fixed-wing UAVs, reflecting a greater efficiency of hybrid UAVs. The analysis of technical indicators of robotic prosthetics (using the case of bionic hands) shows that any improvement of functional characteristics leads to deterioration of weight. The analysis of technical and economic indicators of robotic vacuum cleaners reveals a positive correlation between the price and weight, operating hours and power.


1997 ◽  
Vol 133 (3) ◽  
pp. 269-274 ◽  
Author(s):  
W. L. Woolverton ◽  
Justin A. English ◽  
Michael R. Weed

2014 ◽  
Vol 68 ◽  
pp. 23-28 ◽  
Author(s):  
Tracy T. Smith ◽  
Alan F. Sved ◽  
Dorothy K. Hatsukami ◽  
Eric C. Donny

1997 ◽  
Vol 48 (8) ◽  
pp. 1103 ◽  
Author(s):  
Paul A. Breen ◽  
Terese H. Kendrick

After individual quotas were imposed in 1990, the fishery for Jasus edwardsii in the Gisborne area showed continuing declines in catch and catch rate to 1993, and the total quota could not be caught in this area. There were few legal-sized but many sublegal-sized lobsters. Pots caused mortality of sublegal lobsters through handling, pot-related Octopus predation, and thefts from commercial pots. The industry, in conjunction with recreational fishers and Maori, developed a scheme to address these problems. The aim was to increase landed value to compensate for quota reductions, and to do this by landing more lobsters in winter (when prices were higher) and landing smaller lobsters (which had a higher unit price). A shortened season was designed to reduce pot-related mortality. Part of the scheme—a proposal to reduce the minimum legal size of male lobsters—caused controversy. However, the package was evaluated with a simple model and then accepted by the Minister of Fisheries. Results were substantially increased catch rates since 1993, a successful shift to a winter fishery, and a shift in length frequencies toward larger sizes. A simple size-structured model fitted to the fishery data and used to evaluate future management options is also described.


1996 ◽  
Vol 13 (5) ◽  
pp. 415-429 ◽  
Author(s):  
Dawn Iacobucci ◽  
Geraldine Henderson ◽  
Alberto Marcati ◽  
Jennifer Chang

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huimin Li ◽  
Limin Su ◽  
Jian Zuo ◽  
Xiaowei An ◽  
Guanghua Dong ◽  
...  

PurposeUnbalanced bidding can seriously imposed the government from obtaining the best value for the taxpayers' money in public procurement since it increases the owner's cost and decreases the fairness of the competitive bidding process. How to detect an unbalanced bid is a challenging task faced by theoretical researchers and practical actors. This study aims to develop an identification method of unbalanced bidding in the construction industry.Design/methodology/approachThe identification of unbalanced bidding is considered as a multi-criteria decision-making (MCDM) problem. A data-driven unit price database from the historical bidding document is built to present the reference unit prices as benchmarks. According to the proposed extended TOPSIS method, the data-driven unit price is chosen as the positive ideal solution, and the unit price that has the furthest absolute distance measure as the negative ideal solution. The concept of relative distance is introduced to measure the distances between positive and negative ideal solutions and each bidding unit price. The unbalanced bidding degree is ranked by means of relative distance.FindingsThe proposed model can be used for the quantitative evaluation of unbalanced bidding from a decision-making perspective. The identification process is developed according to the decision-making process. The finding shows that the model will support owners to efficiently and effectively identify unbalanced bidding in the bid evaluation stage.Originality/valueThe data-driven reference unit prices improve the accuracy of the benchmark to evaluate the unbalanced bidding. The extended TOPSIS model is applied to identify unbalanced bidding; the owners can undertake objective decision-making to identify and prevent unbalanced bidding at the stage of procurement.


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