The triple-As supply chain competitive advantage

Supply chain agility and performance: evidence from a meta-analysis

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.

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

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.

Exploring factors of the sustainable supply chain in the post-COVID-19 pandemic: SWARA approach

The present research aimed to provide a mechanism for enhancing sustainable supply chain survivability (SSCS) during and after the COVID-19 outbreak. Logistical and manufacturing operations have been restricted due to the severe lockdown, which significantly impacts the demand and supply of various items. COVID-19 has a massive effect on a multitude of units of various sectors. This research emphasized the important elements that must be considered to adapt the sustainable supply chain (SSC) practices. As a result, businesses are now attempting to improve the system for SSC. The stepwise weight assessment ratio analysis (SWARA) approach is used in this research to classify dynamic aspects for improving SSC survival in an epidemic condition. The results reveal that the viability of the supply chain network is the essential criteria for managing the relationships of suppliers and buyers and maximizing SSCS during and after COVID-19. This research will help businesses, manufacturers, and other stakeholders to concentrate on the described factors to achieve a brighter environment.

Understanding influence of supply chain competencies when developing Triple-A

Purpose

To be successful in the rapidly changing global business environment, supply chains (SCs) must be agile, adaptable and aligned (Lee, 2004), a practice known as Triple-A. Therefore, the purpose of this paper is to investigate the dimensions of Triple-A SCs and their concurrent impact on all three Triple-A components.

Design/methodology/approach

The relationship among these factors is analyzed through Smart PLS-structured equation modeling (PLS-SEM) for which data have been collected from 243 SC professionals working in manufacturing organizations.

Findings

The findings of this study reveal that the relationship between visibility and adaptability are directly significant but that the negative relationship between velocity and alignment is insignificant; however, indirectly these relationships have a positive impact using the mediating effect of agility over visibility and adaptability, velocity and alignment. However, the relationship of flexibility over SC Triple-A is positively significant, visibility over agility and alignment is positively significant and velocity over agility and adaptability is also positively significant, and each impact agility over adaptability and adaptability over alignment which is significant.

Originality/value

There is a shortage of empirical studies to date that empirically provide evidence of possible relationships among Triple-A and its key dimensions when attempting to obtain Triple-A. This is the first authenticated Triple-A SC conceptual framework that provides direction to better understand the dimension and significance of Triple-A.

Analysis of factors impacting survivability of sustainable supply chain during COVID-19 pandemic: an empirical study in the context of SMEs

Purpose

Nowadays, many firms are finding ways to enhance the survivability of sustainable supply chains (SUSSCs). The present study aims to develop a model for the SUSSCs of small and medium enterprises (SMEs) during the COVID-19 pandemic.

Design/methodology/approach

With the help of exhaustive literature review, constructs and items are identified to collect the responses from different SMEs. A total of 278 complete responses are received and 6 hypotheses are developed. Hypotheses testing have been done using structural equation modeling (SEM).

Findings

Major constructs identified for the study are supply chain (SC) performance measurement under uncertainty (SPMU), supply chain cooperation (SCCO), supply chain positioning (SCP), supply chain administration (SCA), supply chain feasibility (SCF) and the SUSSCs. From statistical analysis of the data collected, it can be concluded that the considered latent variables contribute significantly towardsthe model fit.

Research limitations/implications

The present study contributes to the existing literature on disruptions and survivability. The study can be further carried out in context to different countries and sectors to generalize the findings.

Practical implications

The research findings will be fruitful for SMEs and other organizations in developing strategies to improve survivability during uncertain business environments.

Originality/value

The study has developed a model that shows that the identified latent variables and their indicators contribute significantly toward the dependent variable, i.e. survivability. It contributes significantly in bridging the research gaps existing in context to the survivability of SMEs.

The impact of information sharing on supply chain adaptability and operational performance

Purpose

This study looks beyond firm boundaries to depict supply chain (SC) adaptability and classifies it into internal, customer and supplier dimensions to investigate their performance implications, respectively. This study also examines the enablers of SC adaptability based on information processing theory.

Design/methodology/approach

This study applies the structural equation modeling method to investigate relationships among SC information sharing, SC adaptability and operational performance using data collected from 216 manufacturers in China.

Findings

Internal information sharing has a positive impact on three dimensions of SC adaptability, whereas supplier and customer information sharing only have a positive impact on supplier adaptability. Customer and supplier information sharing interact to positively influence the three dimensions of SC adaptability, while internal and customer information sharing interact to negatively affect customer adaptability. We also find that all the three dimensions of SC adaptability can enhance operational performance.

Originality/value

This study contributes to providing a holistic definition of SC adaptability and classifies it into three dimensions. It also investigates antecedents and performance outcomes of SC adaptability.

Strategic supply chains: a configurational perspective

Purpose

Drawing on configuration theory and adopting a holistic perspective, the authors aim to explore strategic supply chain elements' interaction with internal and external contextual conditions. Specifically, they evaluate multivariate co-alignment of supply chain's capabilities (agility, adaptability, alignment), adhocracy organizational structure and environmental uncertainty (dynamism, munificence and complexity) that lead to superior performance outcomes (supply chain cycle time, financial performance, market performance).

Design/methodology/approach

A survey research design is adopted to collect primary and secondary data from 182 international firms. Cluster analysis and profile deviation techniques are employed first to derive a taxonomy of strategic supply chains and then examine multivariate co-alignment.

Findings

The analysis reveals that four groups of triple-A supply chains could emerge. It is found that strategic supply chains exhibit a flexible/organic/fluid organizational structure and a high level of triple-As in their processes. These supply chains perform superior to a higher level of environmental complexity, munificence and dynamism.

Practical implications

This study's results provide insights for practitioners by informing their investment decisions for developing strategic supply chains. Specifically, this research highlights the contextuality of triple-A supply chains and offers best practices to capitalize on strategic supply chains.

Originality/value

Executives in organizations require a holistic understanding of various elements to ensure that the organizational system as a whole performs effectively. This research offers insights into the interdependencies of triple-A supply chains with other organizational and external environmental elements. Noteworthy implications for scholarship in operations/supply chain management and supply chain practitioners are presented.

Synergistic effect of cooperation and coordination to enhance the firm's supply chain adaptability and performance

Purpose

To address how organizations should be malleable, the purpose herein is to draw on complementarity theory to examine the interaction effect of customer integration (i.e. coordination) and shared relationship governance (i.e. cooperation) on supply chain adaptability and firm's performance.

Design/methodology/approach

A survey research design is adopted to collect primary data from 177 automotive components suppliers. After assessing the measures' psychometric properties, the hypothesized relationships are evaluated using hierarchical regression analysis supplemented by structural equation modeling and complementarity test.

Findings

In the context of industrial markets, and specifically the automotive component industry, a complementary interaction effect is found between coordination and cooperation. The complementary impact was significant in affecting the supply chain adaptability and the firm's performance. Our results refine the existing supply chain integration by highlighting the complementary effect of coordination and cooperation.

Practical implications

Understanding the true interaction effect between cooperation and coordination to develop supply chain integration avoids decision-makers' misperception over or underinvesting in activities. This research also provides key insights on the complementary effect of coordination and cooperation to establish structural flexibility in the supply chain and the ability to respond to the disruptions, such as the COVID-19 pandemic.

Originality/value

Understanding the true interaction effect between cooperation and coordination to develop supply chain integration avoids decision-makers' misperception over or underinvesting in activities. The implications for theory and practice are also presented.

Accelerating retail supply chain performance against pandemic disruption: adopting resilient strategies to mitigate the long-term effects

Purpose

Coronavirus disease 2019 (COVID-19) has disrupted global supply chains, revealing dreadful gaps and exposing vulnerabilities. Retailers are challenged to tackle risks and organise themselves to fit into the “new normal” scenario. This global outbreak has established a volatile environment for supply chains; it has raised the question of survival in the market, forcing companies to rethink resilient strategies to be adopted for the post-pandemic situation to mitigate the long-term effects of this virus. This study explores the priorities for retail supply chains (RSCs) to align their business operations and strategies for the post-pandemic world.

Design/methodology/approach

This study has utilised integrated full consistency model (FUCOM) – best–worst method (BWM) for assessment of RSCs to enhance their business performance irrespective of pandemic disruptions. The FUCOM has been employed to identify the priorities of determinants enhancing business performance, whereas RSC strategies are evaluated using the BWM method.

Findings

The current study identifies “Collaboration Efficiency” as the main criterion for accelerating the performance of RSCs in a dynamic social environment. Also, the study concludes that “Order Fulfilment” and “Digital RSCs” are the most appropriate resilient business strategies to mitigate the long-term effects.

Research limitations/implications

Supply-demand balancing is a challenging task at the moment, but highly significant for the future. The pandemic disruptions have placed intense pressure on retailers to deliver products as per consumers' changing behaviours towards the purchase of essentials and other products. Hence, “Order Fulfilment” and “Digital RSCs” should be adopted for meeting customer requirements and to ensure sustainability in the post-pandemic business world.

Originality/value

This work sets out a comprehensive framework which will be helpful for accelerating RSCs performance against pandemic disruption by adopting resilient strategies to mitigate the long-term effects.

The triple-a supply chain and strategic resources: developing competitive advantage

Purpose

Scholars have recently begun to empirically evaluate the triple-A supply chain, which emphasizes concurrent capabilities in agility, adaptability and alignment across the supply chain to develop sustainable competitive advantage. Complexity theory suggests however that other combinations of triple-A capabilities may be equally effective, especially given a firm's strategic orientation relative to its market and its supply chain. Our research objective was to examine what combinations of these capabilities lead to the same outcome (i.e. high firm performance).

Design/methodology/approach

We collected 182 survey responses from a global sample of supply chain managers. Qualitative comparative analysis (QCA) was employed to assess effective recipes of agility, adaptability, alignment, supply chain orientation, and market orientation.

Findings

Our results revealed four distinct “recipes” (i.e. combinations of agility, adaptability, alignment, supply chain orientation and market orientation) that lead to high levels of firm performance.

Originality/value

Our results indicate that firms currently do not necessarily have to concomitantly develop capabilities across all triple-A components. Considering the costs associated with developing each of these capabilities, the findings allow us to derive several theoretical and managerial insights.