Isometry of domains whose boundaries are isometric in the relative metrics

1986 ◽  
Vol 26 (3) ◽  
pp. 380-387 ◽  
Author(s):  
A. V. Kuz'minykh
Keyword(s):  
Relative Metrics

The Impact of a BI-Supported Performance Measurement System on a Public Police Force

2019 ◽  
pp. 509-527
Author(s):  
Elad Moskovitz ◽  
Adir Even
Keyword(s):  
Performance Measurement ◽  
Measurement System ◽  
Business Intelligence ◽  
Police Force ◽  
Performance Measurement System ◽  
Moderation Effect ◽  
Relative Metrics ◽  
Time Period ◽  
The Impact

Performance measurement, as an effective tool for implementing organizational strategy and assisting ongoing control and surveillance, is broadly adopted today. The performance measurement system (PMS) explored in this case study was implemented, using business intelligence (BI) technologies, for a public police force. The system lets police commanders view and analyze the performance scores of their own units and get feedback on the success of their activities. The study examines the system's impact, through analysis of the metric results over a time period of five years. The results show that the vast majority of the metrics examined indeed improved. Further, the results underscore the moderation effect of relative metrics weights, as well as the different behavior of metrics that reflect activity versus those that reflect outcomes. The study underscores both the positive and the negative aspects of those results, and discusses their implications for future PMS implementation with BI technologies.

Relative measures in service research

2015 ◽  
Vol 29 (6/7) ◽  
pp. 448-452 ◽  
Author(s):  
Lerzan Aksoy ◽  
Jens Hogreve ◽  
Bart Lariviere ◽  
Andrea Ordanini ◽  
Chiara Orsingher
Keyword(s):  
Theory And Practice ◽  
Service Research ◽  
Brand Preference ◽  
Firm Resources ◽  
Content Type ◽  
Customer Perceptions ◽  
Relative Metrics ◽  
Novel Approach ◽  
Measurement Practices ◽  
Key Customer

Purpose – The purpose of this paper is to introduce an alternative novel approach to measurement of customer perceptions of the service experience that links closely with customer loyalty outcomes. Design/methodology/approach – This conceptual paper draws upon prior theory and empirical research to investigate the relevance of using relative metrics compared to absolute metrics in service research. Findings – The findings upon which this paper draws upon show that measuring customer satisfaction, likelihood to recommend, brand preference using absolute metrics explain a very small per cent of the variance in key customer outcome measures such as share of wallet. Instead, a relative approach to these and other measures in service research is proposed. Practical implications – Although business practice has embraced relative measurement much more extensively than has scientific research, the vast majority of customer experience measurement programs today continue to employ absolute measures resulting in suboptimal allocation of firm resources. This paper is a call to rethink these current measurement practices. Originality/value – It is one of the first papers to argue for changing the widely employed use of absolute metrics in theory and practice in favor of relative metrics. Application to other service research theories is discussed.

Families of homeomorphisms, relative metrics, and caratheodory's theorem

1972 ◽  
Vol 13 (2) ◽  
pp. 254-265
Author(s):  
V. P. Luferenko ◽  
G. D. Suvorov
Keyword(s):  
Relative Metrics ◽  
Carathéodory’S Theorem

An examination of relative satisfaction and share of wallet: investigating the impact of country and customer characteristics

2016 ◽  
Vol 26 (3) ◽  
Author(s):  
Alexander John Buoye
Keyword(s):  
Design Methodology ◽  
Allocation Rule ◽  
Retail Sector ◽  
Actual Behavior ◽  
Share Of Wallet ◽  
Additional Information ◽  
Relative Metrics ◽  
Scale Usage ◽  
The Impact ◽  
Practical Implications

Purpose Absolute satisfaction ratings are widely used, but demonstrate a poor link to share of wallet, in part because this relationship is mediated and/or moderated by customer characteristics (including total spend in the category) and heterogeneity of scale usage. Relative satisfaction metrics, such as the Wallet Allocation Rule, have been shown to produce a much stronger link to share of wallet than absolute monadic ratings. This study compares absolute and relative satisfaction models after controlling for these mediating and moderating factors and re-examines the impact of these factors when using relative, rather than absolute metrics. Design/methodology/approach 3,793 satisfaction ratings by 1,172 unique grocery customers across 5 countries (US, Brazil, Chile, France & Germany) are used to evaluate the mediating and moderating impacts of scale usage and customer characteristics on the relationship between satisfaction and share of wallet. Findings Relative metrics continue to significantly outperform absolute metrics after controlling for these factors. With the exception of the moderating influence of income, effects of customer characteristics and country differences are insignificant when linking relative satisfaction to share of wallet. Practical implications Managers need to re-evaluate their satisfaction measurement strategy in order to establish a strong link to actual behavior. While calculating relative satisfaction requires managers to collect data on competitors as well as the focal brand, this need for additional information is mitigated by a trade-off in terms of mediating and moderating information that is essential to properly model absolute metrics, but is not needed when using relative measures. Originality/value Provides a significant contribution to both retail literature and scientific literature in general by examining the robustness of a relative metrics approach within the grocery retail sector across a disparate collection of countries.

Competitive context is everything: Moving from absolute to relative metrics

2015 ◽  
Vol 20 (2) ◽  
pp. 18-25 ◽  
Author(s):  
Timothy L. Keiningham ◽  
Alexander Buoye ◽  
Joan Ball
Keyword(s):  
Relative Metrics
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