Juan A. Marin-Garcia, Jose A.D. Machuca and Rafaela Alfalla-Luque
To 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…
Abstract
Purpose
To 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/approach
Assessment 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.
Findings
Greater 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/implications
DRM 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 implications
Results 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/value
First 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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Rafaela Alfalla-Luque, Darkys E. Luján García and Juan A. Marin-Garcia
The link between supply chain agility (SCA) and performance has been tested in previous research with different samples and results. The present paper quantitatively analyses and…
Abstract
Purpose
The link between supply chain agility (SCA) and performance has been tested in previous research with different samples and results. The present paper quantitatively analyses and summarises the impact of SCA on performance found in previous empirical papers and determines the influence of several identified moderators.
Design/methodology/approach
Using a meta-analysis approach based on a systematic literature review, a total of 63 empirical papers comprising a sample of 14,469 firms were meta-analysed to consider substantive (type of performance and SCA operationalisation) and extrinsic (economic region and industry) moderators.
Findings
Results confirm a significantly large, positive correlation between SCA and performance. None of the analysed moderators has enabled the identification of any significant differences between the SCA and performance correlations by subgroup. However, high heterogeneity in total variance, both in the full sample and the subgroups by moderator, demands further rigorously reported empirical research on this topic with clearly conceptualised variables and frameworks and the use of validated scales.
Research limitations/implications
Several research gaps and best practice recommendations have been indicated to improve future empirical research on this topic.
Practical implications
Practitioners in different economic regions and industries will find consistent evidence of improvements in performance through SCA.
Originality/value
No meta-analysis has been found in previous research to estimate the value of the correlation between SCA and performance and the influence of moderating variables.
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Pedro Garrido-Vega, Macarena Sacristán-Díaz, José Moyano-Fuentes and Rafaela Alfalla-Luque
This paper analyses the way that the industry's competitive environment and the company's strategy influence the implementation of the supply chain's (SC’s) triple-A capabilities…
Abstract
Purpose
This paper analyses the way that the industry's competitive environment and the company's strategy influence the implementation of the supply chain's (SC’s) triple-A capabilities (agility, adaptability and alignment). Two competitive environment variables are analysed: competitive intensity of the industry and complexity of the SC. Two opposing competitive strategies are also considered: cost and differentiation.
Design/methodology/approach
The hypotheses have been tested using data gathered via a questionnaire given to 277 Spanish manufacturing companies, and structural equation modelling has been used for the analysis.
Findings
The results show that competitive intensity is the most influential factor followed by business strategy. SC complexity does not seem to affect agility. Moreover, although the competitive environment variables affect the business strategy, the latter has no mediating effects between the competitive environment and SC agility, adaptability and alignment capabilities.
Originality/value
This study presents new insights into the environmental and strategic drivers linked to the implementation of SC agility, adaptability and alignment capabilities and offers guidelines to managers involved in SC management.
研究目的
本文分析產業的競爭環境和公司的策略如何影響供應鏈三A能力 (靈活性、適應能力和調整能力) 的實現。兩個競爭環境變數被分析, 就是產業的競爭強度和供應鏈的複雜性。同時, 兩個對立的競爭策略也被探討,就是價格和差異化。
研究方法
各個假設均以數據測試; 數據取自277間西班牙製造商囘應之問卷, 分析則以結構方程模型進行。
研究結果
研究結果顯示、競爭強度是最重要的影響因素, 其次是經營策略。供應鏈的複雜性似乎對靈活性沒有影響; 而且, 雖然競爭環境變數影響著經營策略, 但經營策略在競爭環境與供應鏈靈活性、適應能力和調整能力之間沒有起仲介效果。
研究的原創性
本研究就環境和策略如何驅動供應鏈靈活性、適應能力和調整能力方面提供了新的啓示, 亦為負責供應鏈管理的主管提供了指引。
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Jun-Hwa Cheah, Wolfgang Kersten, Christian M. Ringle and Carl Wallenburg
Nakayima Farida, Ntayi Joseph, Namagembe Sheila, Kabagambe Levi and Muhwezi Moses
This study investigates how asset specificity, relational governance and firm adaptability relate with supply chain integration (SCI), considering selected food processing firms…
Abstract
Purpose
This study investigates how asset specificity, relational governance and firm adaptability relate with supply chain integration (SCI), considering selected food processing firms (FPFs) in Uganda.
Design/methodology/approach
This study applies a quantitative research methodology. This research draws on a sample of 103 FPFs that have been selected from a population of 345 FPFs located in Kampala district. Hypothesis testing was done using Smart PLS version 3.
Findings
Asset specificity has a significant positive relationship with SCI, and firm adaptability partially mediates this relationship. Also, there is a full mediation impact of firm adaptability on the relationship between relational governance and SCI.
Research limitations/implications
This study focused on perceptual measures to get responses from managers on the level of integration with key suppliers and customers, yet firms deal with a number of suppliers and customers.
Originality/value
This study contributes to existing literature on SCI by applying the transaction cost theory. The study focuses on the influence of asset specificity, relational governance and firm adaptability on SCI in the food processing sector. Literature on relational governance in supply chain using the transaction cost theory remains scanty. Few studies have also focused on firm adaptability as a mediator in the FPS with specific focus on Uganda, yet the sector is highly faced with uncertain events. The uncertain events in the sector and in developing countries call for adaptive strategies. Additionally, this study is the first to use firm adaptability to mediate the influence of asset specificity and relational governance on SCI more so in a developing country like Uganda where the FPS is one of the most important in the economy.