A Triple-A supply chain measurement model: validation and analysis
Abstract
Purpose – The purpose of this paper is to establish definitions and dimensions of Triple-A supply chain (SC) variables based on a literature review and to validate a Triple-A SC measurement model using a worldwide multiple informant sample. Design/methodology/approach – Following a literature review, Triple-A SC variables (agility, alignment and adaptability) are conceptualized and a list of possible items is created for their measurement. An international 309 plant sample is used to validate the convergent and criterion validities of the composites proposed to measure Triple-A SC. Findings – Contributions to the literature: clarification of Triple-A SC variable concepts; identification of key dimensions of Triple-A SC variables; development of a validated Triple-A SC measurement scale for future empirical research and industrial applications. Research limitations/implications – A rigorously validated instrument is needed to measure Triple-A SC variables and enable researchers to credibly test theories regarding causal links between capabilities, practices and performance. Practical implications – Proposal of a scale for use by managers of different functions to analyze Triple-A SC deployment in the company. Originality/value – The only Triple-A SC scale used in the previous literature has serious limitations: scales were not taken from an extended literature review; data were collected from single respondents in a single country. This is the first validated Triple-A SC measurement model to overcome these limitations.
Full text
Depósito de investigación de la Universidad de Sevilla https://idus.us.es/ “This is an Accepted Manuscript of an article published in International Journal of Physical distribution & logistic management on 10 october 2018, available at: https://doi.org/10.1108/IJPDLM-06-2018-0233.”
International Journal of Physical Distribution & Logistics Management A Triple - A supply chain measurement model: validation and analysis Journal: International Journal of Physical Distribution & Logistics Management Manuscript ID IJPDLM-06-2018-0233 Manuscript Type: Research Paper Keywords: Agility, adaptability, alignment, Triple-A, supply chain, competitive advantage International Journal of Physical Distribution & Logistics Management
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International Journal of Physical Distribution & Logistics Management Validationprocess Phasea) Convergent Validity Phase0 ContentValidity Phaseb) ConcurrentCriterionValidity OutputAnalysis Literature Review Qrsorting 26itemTriplerASCmeasurement model:8SCAgility,8SC Adaptability,10SCAlignment 43itemsforredundancyanalysis: 16SCAgility,12SCAdaptability,15 SCAlignment Redundancy analysis R2>0.64 Yes Convergentvaliditydemonstrated forTriplerASC,SCAgility,SC AdaptabilityandSCAlignment No Stop Phaseb.1)1ststep: Measurementmodelfor LOC(dimensionsofSC variables) Goodmodel? Measurementequivalence? Configuralinvariance? Yes MeasurementModelfor dimensionsofSCAgility,SC AdaptabilityandSCAlignment No Stop Phaseb.2)2ndstep: Validation2ndorderHOC Goodmodel? R2betweenconstructand criterion? Yes MeasurementModelforSCAgility, SCAdaptabilityandSCAlignmentas 2ndorderHOC No Stop Phaseb.3)3rdstep: Validation3rdorderHOC Goodmodel? R2betweenconstructand criterion? Yes MeasurementModelforTriplerASC as3rdorderHOC No Stop Page 18 of 20International Journal of Physical Distribution & Logistics Management 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
International Journal of Physical Distribution & Logistics Management Page 19 of 20 International Journal of Physical Distribution & Logistics Management 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
International Journal of Physical Distribution & Logistics Management Paths CI BCa 5.0% CI BCa 95.0% f2 CI BCa 5.0% CI BCa 95.0% SC-Ag-LVS -> Cri-Cust-supp&serv-LVS 0.109 -0.015 0.228 0.009 0.000 0.040 SC-Ag-LVS -> Cri-Reconfg-LVS 0.157 0.050 0.263 0.024 0.003 0.069 SC-Ag-LVS -> Cri-SC-collab-LVS 0.084 -0.022 0.180 0.005 0.000 0.029 SC-Ad-LVS -> Cri-Cust-supp&serv-LVS 0.124 0.018 0.238 0.011 0.000 0.040 SC-Ad-LVS -> Cri-Reconfg-LVS 0.523 0.419 0.620 0.268 0.155 0.422 SC-Ad-LVS -> Cri-SC-collab-LVS 0.159 0.058 0.267 0.020 0.002 0.055 SC-Al-LVS -> Cri-Cust-supp&serv-LVS 0.148 0.044 0.250 0.021 0.002 0.062 SC-Al-LVS -> Cri-Reconfg-LVS 0.003 -0.089 0.097 0.000 0.000 0.015 SC-Al-LVS -> Cri-SC-collab-LVS 0.233 0.136 0.321 0.055 0.020 0.114 Triple-A-SC-LVS -> Cri-Cust-supp&serv-LVS (#) 0.306 0.217 0.388 0.125 0.116 0.116 Triple-A-SC-LVS -> Cri-Reconfg-LVS (#) 0.576 0.503 0.637 0.542 0.418 0.576 Triple-A-SC-LVS -> Cri-SC-collab-LVS (#) 0.378 0.300 0.450 0.204 0.193 0.193 Table 1. Step 2 - Path coefficients and f2 values for criterion validity. (#) Third Step results Page 20 of 20International Journal of Physical Distribution & Logistics Management 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60