TY - JOUR
T1 - A holistic model for measuring continuous innovation capability of manufacturing industry
T2 - a case study
AU - Lianto, Benny
AU - Dachyar, Muhammad
AU - Soemardi, Tresna Priyana
N1 - Funding Information:
The authors would like to thank University of Surabaya (UBAYA) and Universitas Indonesia (UI) for permits and support this research funding.
Publisher Copyright:
© 2021, Emerald Publishing Limited.
PY - 2022/6/24
Y1 - 2022/6/24
N2 - Purpose: The purpose of this paper is to develop a comprehensive continuous innovation capability (CIC) measurement model in manufacturing sectors. Design/methodology/approach: The development of this CIC model was conducted through three stages of research, i.e. identification of manufacturing continuous innovation measures (MCIMs), development of measurement model, followed by model evaluation and validation. MCIMs were identified using systematic literature review and focus group discussion. Selection process for MCIMs employed the fuzzy Delphi method. To develop measurement model, contextual relationships between MCIMs were assessed using total interpretive structural modeling, followed by measurements of MCIMs weight with the analytical network process method. Then, assessment indicators for each MCIM and criteria were determined as well as mathematical model to measure CIC scores. Model evaluation and validation were performed in two case studies: in an automotive company and an electronics company. Findings: This research produced 50 criteria and 103 assessment indicators, as well as mathematical model to measure CIC scores. The validation process showed that currently developed model was deemed valid. Practical implications: The results of this research are expected to provide a practical input for manufacturing company managers in managing their innovation activities systematically and comprehensively. Originality/value: The CIC model is a new comprehensive measurement model; it integrates three fundamental elements of CI capability measurement, considering all important dimensions in a company and also able to explain contextual relationships between measured factors.
AB - Purpose: The purpose of this paper is to develop a comprehensive continuous innovation capability (CIC) measurement model in manufacturing sectors. Design/methodology/approach: The development of this CIC model was conducted through three stages of research, i.e. identification of manufacturing continuous innovation measures (MCIMs), development of measurement model, followed by model evaluation and validation. MCIMs were identified using systematic literature review and focus group discussion. Selection process for MCIMs employed the fuzzy Delphi method. To develop measurement model, contextual relationships between MCIMs were assessed using total interpretive structural modeling, followed by measurements of MCIMs weight with the analytical network process method. Then, assessment indicators for each MCIM and criteria were determined as well as mathematical model to measure CIC scores. Model evaluation and validation were performed in two case studies: in an automotive company and an electronics company. Findings: This research produced 50 criteria and 103 assessment indicators, as well as mathematical model to measure CIC scores. The validation process showed that currently developed model was deemed valid. Practical implications: The results of this research are expected to provide a practical input for manufacturing company managers in managing their innovation activities systematically and comprehensively. Originality/value: The CIC model is a new comprehensive measurement model; it integrates three fundamental elements of CI capability measurement, considering all important dimensions in a company and also able to explain contextual relationships between measured factors.
KW - Continuous innovation
KW - Holistic model
KW - Manufacturing
KW - Performance measurement
UR - http://www.scopus.com/inward/record.url?scp=85113755496&partnerID=8YFLogxK
U2 - 10.1108/IJPPM-02-2021-0062
DO - 10.1108/IJPPM-02-2021-0062
M3 - Article
AN - SCOPUS:85113755496
SN - 1741-0401
VL - 71
SP - 2061
EP - 2086
JO - International Journal of Productivity and Performance Management
JF - International Journal of Productivity and Performance Management
IS - 6
ER -
