TY - JOUR
T1 - Formalizing organizational product deletion through strategic cross-functional evaluation
T2 - A Bayesian analysis approach
AU - Zhu, Qingyun
AU - Dhavale, Dileep G.
AU - Sarkis, Joseph
AU - Wang, Xuan
N1 - Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/5/2
Y1 - 2023/5/2
N2 - Product deletion is a strategic organizational decision. Using multiple literature streams, we identify antecedents and relationships of product deletion across four functional areas—marketing, supply chain, finance, and sustainability. Using a field data sample from eight organizations, we apply Bayesian analysis to identify various relationships between product deletion across various functional performance measures. We complete additional simulation analyses using two dependent variable distribution methods (balanced and unbalanced) and validate using parametric logistic regression methodology for robustness checks. The results show predictive relationships exist amongst the functional performance measures and product deletion. High performance across organizational functions results in decreased odds of product deletion; but not as large a margin as expected. If improved product performance is identified across all functions especially cost dimensions, the likelihood of product deletion decreases. Amongst these functions, surprisingly supply chain performance is a better indicator of a product's candidacy for deletion. The integrative findings are exploratory but provide insights for further research development and practical implementation.
AB - Product deletion is a strategic organizational decision. Using multiple literature streams, we identify antecedents and relationships of product deletion across four functional areas—marketing, supply chain, finance, and sustainability. Using a field data sample from eight organizations, we apply Bayesian analysis to identify various relationships between product deletion across various functional performance measures. We complete additional simulation analyses using two dependent variable distribution methods (balanced and unbalanced) and validate using parametric logistic regression methodology for robustness checks. The results show predictive relationships exist amongst the functional performance measures and product deletion. High performance across organizational functions results in decreased odds of product deletion; but not as large a margin as expected. If improved product performance is identified across all functions especially cost dimensions, the likelihood of product deletion decreases. Amongst these functions, surprisingly supply chain performance is a better indicator of a product's candidacy for deletion. The integrative findings are exploratory but provide insights for further research development and practical implementation.
KW - 512 Business and Management
KW - Bayesian analysis
KW - Cross-functional performance
KW - Performance management and analysis
KW - Product deletion
KW - Supply chain management
UR - http://www.scopus.com/inward/record.url?scp=85159615818&partnerID=8YFLogxK
U2 - 10.1016/j.ijpe.2023.108894
DO - 10.1016/j.ijpe.2023.108894
M3 - Article
AN - SCOPUS:85159615818
SN - 0925-5273
VL - 262
JO - International Journal of Production Economics
JF - International Journal of Production Economics
M1 - 108894
ER -