TY - JOUR
T1 - A company performance index for motor vehicle manufacturers
T2 - company performance measurement with environmental concerns
AU - Zeng, Qinqin
AU - Beelaerts van Blokland, Wouter
AU - Santema, Sicco
AU - Lodewijks, Gabriel
N1 - Accepted Author Manuscript
PY - 2020
Y1 - 2020
N2 - Purpose: Current literature presents limited measurement methods of quantifying manufacturers' performance with environmental concerns. The purpose of this paper is to construct a company performance index for benchmarking motor vehicle manufacturers (MVMs) with environmental concerns. Design/methodology/approach: Methods of constructing the index include regression analysis, a modified linear method for normalizing variables and a geometric mean for aggregating variables into a single index IMVM (index for MVMs). A case study is conducted in 12 MVMs from 2008 to 2017. A sensitivity analysis with the simple additive weighting method is performed to analyze how different aggregation methods affect the final value. The index IMVM is assessed through a benchmark with three existing indices. Findings: Three realistic considerations are identified from MVMs, based on which proper and transparent methods are chosen to construct the IMVM. The construction of the index IMVM has been assessed through a benchmark against the methodologies of three other indices. The results indicate that the new measurement is feasible and effective for MVMs to measure their company performance from an environmental perspective. Practical implications: The construction of the index IMVM can support policymakers with accurate statistics for decision-making. As a response to current imperative climate policies, this paper raises awareness of CO2 emissions in vehicles' production. For statistical organizations and stakeholders in the investment world, this paper provides available and reliable statistics for trend analysis of different MVMs. Originality/value: A new method is designed for constructing a company performance index for MVMs. Three environmental variables are identified based on literature, their environmental impact as well as their data availability from public documents. A ranking by manufacturer with environmental concerns is generated. This index can contribute with available statistics and useful insights toward decision-making.
AB - Purpose: Current literature presents limited measurement methods of quantifying manufacturers' performance with environmental concerns. The purpose of this paper is to construct a company performance index for benchmarking motor vehicle manufacturers (MVMs) with environmental concerns. Design/methodology/approach: Methods of constructing the index include regression analysis, a modified linear method for normalizing variables and a geometric mean for aggregating variables into a single index IMVM (index for MVMs). A case study is conducted in 12 MVMs from 2008 to 2017. A sensitivity analysis with the simple additive weighting method is performed to analyze how different aggregation methods affect the final value. The index IMVM is assessed through a benchmark with three existing indices. Findings: Three realistic considerations are identified from MVMs, based on which proper and transparent methods are chosen to construct the IMVM. The construction of the index IMVM has been assessed through a benchmark against the methodologies of three other indices. The results indicate that the new measurement is feasible and effective for MVMs to measure their company performance from an environmental perspective. Practical implications: The construction of the index IMVM can support policymakers with accurate statistics for decision-making. As a response to current imperative climate policies, this paper raises awareness of CO2 emissions in vehicles' production. For statistical organizations and stakeholders in the investment world, this paper provides available and reliable statistics for trend analysis of different MVMs. Originality/value: A new method is designed for constructing a company performance index for MVMs. Three environmental variables are identified based on literature, their environmental impact as well as their data availability from public documents. A ranking by manufacturer with environmental concerns is generated. This index can contribute with available statistics and useful insights toward decision-making.
KW - Benchmarking
KW - Composite indicator
KW - Environmental measure
KW - Motor vehicle manufacturer
KW - Multi-criteria decision-making
KW - Performance measure
UR - http://www.scopus.com/inward/record.url?scp=85090158332&partnerID=8YFLogxK
U2 - 10.1108/IJPPM-08-2019-0393
DO - 10.1108/IJPPM-08-2019-0393
M3 - Article
AN - SCOPUS:85090158332
JO - International Journal of Productivity and Performance Management
JF - International Journal of Productivity and Performance Management
SN - 1741-0401
ER -
