Modeling Dynamic Relations Among Marketing and Performance Metrics
نویسندگان
چکیده
منابع مشابه
Investigating the Impact of Organizational Learning and Marketing Metrics on the Performance of Marketing (Case Study: Elon Plast Company)
The aim of this study was to analyze the impact of organizational learning and marketing metrics on the marketing performance in the Elon Plast Company of Kermanshah province. It is a functional purpose study with descriptive – survey method. The statistical population includes 100 employees of Elon Plast Company in Kermanshah province. A sample of 80 people was chosen using Cochran formula. Da...
متن کاملAssessing Marketing Performance: Reasons for Metrics Selection
In recent years both practitioners and academics have shown an increasing interest in the assessment of marketing -performance. This paper explores the metrics that firms select and some reasons for those choices. Our data are drawn from two UK studies. The first reports practitioner usage by the main metrics categories (consumer behaviour and intermediate, trade customer, competitor, accountin...
متن کاملPerformance Modeling, Metrics and Specifications
Authors: Steven Ashby (LLNL), David H. Bailey (LBNL), Maurice Blackmon (UCAR), Patrick Bohrer (IBM), Kirk Cameron (U. SC), Carleton DeTar (U. Utah), Jack Dongarra (U. Tenn.), Douglas Dwoyer (NASA Langley), Peter Freeman (NSF), Ahmed Gheith (IBM), Brent Gorda (LBNL), Guy Hammer (DOD-MDA), Wesley Felter (IBM), Jeremy Kepner (MIT/LL), David Koester (MITRE), Sally McKee (Cornell), David Nelson (DOE...
متن کاملRelations among Mobility Metrics in Wireless Networks
In wireless network simulation analysis, researchers tweak mobility metrics, such as the speed or the pause time of the nodes, to get different stability levels of the network. Meanwhile, in theoretical analysis, link failure rate is widely used to model the stability of a wireless network. This paper presents an analysis of a simplified mobility model and shows that the link failure rate is po...
متن کاملPerformance Metrics, Error Modeling, and Uncertainty Quantification
A common set of statistical metrics has been used to summarize the performance ofmodels ormeasurements— the most widely used ones being bias, mean square error, and linear correlation coefficient. They assume linear, additive, Gaussian errors, and they are interdependent, incomplete, and incapable of directly quantifying uncertainty. The authors demonstrate that these metrics can be directly de...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Foundations and Trends® in Marketing
سال: 2018
ISSN: 1555-0753,1555-0761
DOI: 10.1561/1700000054