The role of competitive environment and strategy in the supply chain's agility, adaptability and alignment capabilities

Garrido‐Vega, Pedro; Dı́az, Macarena Sacristán; Fuentes, José Moyano; Alfalla-Luque, Rafaela

doi:10.1108/ejmbe-01-2021-0018

Cited by 18 publications

(15 citation statements)

References 68 publications

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“…The conceptual framework developed by Lee (2004) proposes the Triple-A SC capabilities as drivers for achieving a sustainable SC–CA and is gaining relevance in the current markets characterised by increasing uncertainty, turbulence, high competitive intensity and a complex SC (Garrido-Vega et al. , 2021).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

In search of a suitable way to deploy Triple-A capabilities through assessment of AAA models' competitive advantage predictive capacity

Marín-García

Machuca

Alfalla-Luque

2023

IJPDLM

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PurposeTo determine how to best deploy the Triple-A supply chain (SC) capabilities (AAA-agility, adaptability and alignment) to improve competitive advantage (CA) by identifying the Triple-A SC model with the highest CA predictive capability.Design/methodology/approachAssessment of in-sample and out-of-sample predictive capacity of Triple-A-CA models (considering AAA as individual constructs) to find which has the highest CA predictive capacity. BIC, BIC-Akaike weights and PLSpredict are used in a multi-country, multi-informant, multi-sector 304 plant sample.FindingsGreater direct relationship model (DRM) in-sample and out-of-sample CA predictive capacity suggests DRM's greater likelihood of achieving a higher CA predictive capacity than mediated relationship model (MRM). So, DRM can be considered a benchmark for research/practice and the Triple-A SC capabilities as independent levers of performance/CA.Research limitations/implicationsDRM emerges as a reference for analysing how to trigger the three Triple-A SC levers for better performance/CA predictive capacity. Therefore, MRM proposals should be compared to DRM to determine whether their performance is significantly better considering the study's aim.Practical implicationsResults with our sample justify how managers can suitably deploy the Triple-A SC capabilities to improve CA by implementing AAA as independent levers. Single capability deployment does not require levels to be reached in others.Originality/valueFirst research considering Triple-A SC capability deployment to better improve performance/CA focusing on model's predictive capability (essential for decision-making), further highlighting the lack of theory and contrasted models for Lee's Triple-A framework.

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Section: Theoretical Backgroundmentioning

confidence: 99%

In search of a suitable way to deploy Triple-A capabilities through assessment of AAA models' competitive advantage predictive capacity

Marín-García

Machuca

Alfalla-Luque

2023

IJPDLM

Self Cite

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“…With respect to how the competitive environment and business strategies influence agility, adaptability, and alignment-which are linked, as reported by a recent study (Garrido-Vega et al, 2021)-there is a paucity of articles focusing on the strategic behaviour of MSW management firms. Some studies have drawn conclusions concerning the degree and type of market competition Sebő, 2020, 2021).…”

Section: Background and Literaturementioning

confidence: 99%

Efficient Scale and Scope of Business Models Used in Municipal Solid Waste Management

Foggia

Beccarello

2023

SSRN Journal

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“…With respect to how the competitive environment and business strategies influence agility, adaptability and alignment – which are linked, as reported by a recent study (Garrido-Vega et al. , 2021) – there is a paucity of articles focussing on the strategic behaviour of MSW management firms.…”

Section: Background and Literaturementioning

confidence: 99%

Efficient scale and scope of business models used in municipal solid waste management

Foggia

Beccarello

2023

EJMBE

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PurposeThe paper aims to compare the efficiency of alternative municipal solid waste (MSW) management business models: a single provider against multiple providers.Design/methodology/approachIn this paper the drivers of MSW management costs are analysed to test the impact of the scale and scope of MSW management services on the average cost. While the business-as-usual scenario foresees a single provider, the alternative scenario foresees multiple providers.FindingsBased on the empirical data on municipal waste management costs, on average, the size and the average cost of the service are inversely related. This trend is supported using sub-sets defined by the quantity of waste managed. Multiple factors aid in explaining this result, and among others, due to scale and scope, factors such as transition costs increase with the number of players running different services.Practical implicationsThe provision of public services of economic interest should favour the participation of more companies wherever possible to the extent that social surplus is produced. However, pursuing this principle to the detriment of efficient service delivery is not ideal. This paper demonstrated that a single-provider waste management business model is efficient under specific conditions, as in this article.Originality/valueThis paper presents an original research methodology for comparatively analysing waste management service efficiency in urban areas and provides adequate evidence using alternative measures of costs according to the phase of the waste management chain, the scale and ultimately the scope of MSW management services.

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The role of competitive environment and strategy in the supply chain's agility, adaptability and alignment capabilities

Cited by 18 publications

References 68 publications

In search of a suitable way to deploy Triple-A capabilities through assessment of AAA models' competitive advantage predictive capacity

In search of a suitable way to deploy Triple-A capabilities through assessment of AAA models' competitive advantage predictive capacity

Efficient Scale and Scope of Business Models Used in Municipal Solid Waste Management

Efficient scale and scope of business models used in municipal solid waste management

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