Assessing the impact of supply chain agility on operational performances-a PLS-SEM approach

Purpose This study aims to examine the effect of supply chain agility (SCA) on operational performance (OP) measurements of steel manufacturing firms. It also investigates the role of cost efficiencies concerning enhance OPs. Design/methodology/approach The study is based on an experimental research design by collecting data from responses 398 responses of key officials of India’s steel manufacturing firms. Analyses are carried to explore this modern concept with the help of Smart-partial least square (PLS) version 3.3.2 with confirmatory factor analysis and PLS structural equational modelling. Findings SCA factor (SCAF) directly has influenced the firm’s OP. It also represents cost efficiencies that have partial mediation between the SCAF and OP. The impact of cost efficiencies on OPs is strongly significant as compared to the impact of SCAF on cost efficiencies. Practical implications Management teams in the manufacturing industry should stress the role of SCA as a comprehensive concept in responding to market needs in a volatile environment. SCA reflects one of its winning strategies in today’s dynamic and competitive world. Managers must thoroughly know the ramifications of agility to develop a mechanism for determining the procedures and identifying inequality in SC operation. Originality/value This study speaks explicitly about the linkage between SCAF, OP, CE. It is an addition to the existing theories of RBV. Enhancements in OP measurements, specifically performance and flexibility, will lead to better firm performance. study conceptualizing the complementing effects of SCA (IS capability) and OPs and second cost efficiencies play positive partial mediating effect in between the link. The achievement of SC agile is especially a critical approach to Boost customer satisfaction and differentiate market position.

Effect of Supply Chain Coordination on Performance

Research on supply chain management (SCM) focuses on “what” factors of a supply chain enable firms to achieve high performance. It examines the effect of two strategically important pillars: supply chain relationships or capabilities. However their isolated investigation leads to a limited understanding of “how” they can be combined to increase firm performance. In this study we argue that beyond their direct effects the relational and the capability-based determinants of a supply chain have a network of indirect relationships that concurrently and differentially affect firm performance. Building on the relational and resource-based views we develop a serial-mediation model examining the mediating effects of trust in supply chain and collaborative advantage (i.e. relational determinants), and supply chain agility and coordinated supply chain (i.e. capability-based determinants) of SCM. Through the use of hierarchical linear regression analysis we show that trust, agility and collaboration act as serial mediators that carry the indirect effect of coordination to firm performance.

Triple-A strategy: For supply chain performance of Indonesian SMEs

Supply chain management is an activity that effectively integrates suppliers, companies, retailers where goods are produced and distributed at the right quality, location, and time with minimum cost levels to provide the highest quality services for consumers. Supply chain agility, supply chain adaptability, supply chain alignment, which is known as the Triple-A strategy, are elements to form supply chain performance. In this study, we tried to apply it to SMEs in developing countries, such as Indonesia. The purpose of this study is to show whether it is true that the supply chain cannot be applied to SMEs, while for a disruption as it is today, competition is getting tougher not only among SMEs but also against large companies, and SMEs need to develop several strategies that were previously unimaginable. This study uses quantitative techniques to determine the effect of supply chain agility, supply chain adaptability, supply chain alignment on supply chain performance either partially or simultaneously. The results showed that all hypotheses were accepted. This shows that supply chain management can be a strategy to create better SMEs performance and can even be used to achieve competitive advantage.

The mediation role of supply chain agility on supply chain orientation-supply chain performance link

This study aims to analyze the supply chain performance mediation on the relationship between supplier flexibility, supply agility, and company performance. The population in this study were 100 broilers in the districts / cities in Banten Province. The data to be used in this study are primary data, through sending questionnaires. Development of theoretical models with five hypotheses processed in the analysis using SmartPLS Software version 3.0.m3. The results showed that supplier flexibility and supply agility have a positive and significant effect on company performance, supplier flexibility and supply agility have a positive and significant effect on supply chain performance and supply chain performance has a positive and significant effect as an intervening variable to the company performance. Supply chain mediation has an important role in integrating production processes from upstream to downstream, including establishing good relations between businesses involved in supply chain management to improve the company's performance.

The impact of business intelligence on supply chain performance with emphasis on integration and agility–a mixed research approach

PurposeThe paper aims to explore how business intelligence (BI), integration and agility influence supply chain performance.Design/methodology/approachThe study was performed by the exploratory sequential mixed method in two phases including meta-synthesis as a qualitative method and survey as a quantitative method. Data were collected through a survey of 369 Iranian companies across various industries. Structural equation modeling was used to test hypotheses.FindingsThe results show that BI, integration and agility play an important role in achieving better supply chain performance. In the meantime, BI has the greatest impact on supply chain performance. Additionally, BI has a positive and significant effect on the integration and agility of the supply chain. The study also found that integration has a direct effect on supply chain agility.Originality/valueTo the best of the authors' knowledge, the paper theoretically and empirically presents a new conceptual model of the relationship between BI, integration, agility and supply chain performance. The study helps researchers and practitioners to achieve insights into supply chain performance improvement.

Deploying Big Data Enablers to Strengthen Supply Chain Agility to Mitigate Bullwhip Effect: An Empirical Study of China’s Electronic Manufacturers

With the development of economic globalization, the uncertainty of supply chains is also increasing, and alleviating the bullwhip effect has become an important issue. From previous discussions on alleviating the bullwhip effect, there was no research on alleviating it by enhancing supply chain agility through improving big data. Moreover, it has not been found that quality function deployment is used to analyze the interdependence between big data and supply chain agility, as well as between supply chain agility and the bullwhip effect. In particular, the interaction of bullwhip effect factors are not considered. In this study, the multicriteria decision-making integrated framework is proposed and the largest relay manufacturer in China is taken to identify key big data enablers to enhance supply chain agility and mitigate the bullwhip effect, thus providing an effective method for electronic equipment manufacturing enterprises to develop a supply chain that can quickly respond to changes and uncertainties. These big data enablers can enhance supply chain agility and reduce the bullwhip effect. This framework provides an effective method for electronic manufacturers to formulate supply chain agility indicators and big data enablers to mitigate the bullwhip effect and also provides a reference for other manufacturing enterprises in supply chain management.

Analysis of the agility of the automotive industry supply chain in times of COVID-19: a case study

In the early stages of the corona virus pandemic, business environment was changing rapidly. The Moroccan automotive industry was one of the export sectors most affected negatively by the corona crisis; it collapsed during the three months of confinement and the pandemic has created immense uncertainties in demand and disrupted global supply chains. Indeed, to save the automotive industry, Morocco relies on its competitiveness and challenges current supply models for supply chain agility in order to better prepare for future disruptions. Achieving a competitive edge requires aligning company with suppliers and customers as well as working together to achieve agility, organizationally, strategically and individually. However, agile supply chains are the most powerful competitive vehicles of the manufacturing companies. To help automakers deal with the many challenges associated with the pandemic, let’s present this research on the key enablers that will need to be monitored as the situation evolves. Thus, our article presents an original approach which, by linking the competitive priorities, agile supply chain attributes and enablers, aims at evaluates and enhances supply chain agility of a Moroccan automotive factory. Let’s adopt fuzzy quality function deployment (FQFD) approach and, in particular, the two houses of quality (HOQ) with a fuzzy scale in order to identify the most appropriate enablers to be implemented by the factory. This evaluation demonstrates that there are three enablers needing maximum attention: process compliance, logistics and distribution capabilities and supportive information technology. Then, the supply chain agility improvement should be based on these enablers

Supply chain agility in third-party logistics providers: its relationship with institutional and cultural geographical traits in a developing country

PurposeThe purpose of this paper is to investigate the relationship between geographical traits consisting of institutional traits and cultural traits, and supply chain agility in third-party logistics providers.Design/methodology/approachA theoretical model was developed and assessed through a structured questionnaire survey using cross-sectional data from 170 third-party logistics providers registered in Uganda. To validate the suggested model, data were analysed using exploratory factor analysis, correlations and regressions.FindingsCorrelation results revealed that all institutional and cultural geographical traits in the model, i.e. infrastructural frameworks, regulatory frameworks, organisational culture and national culture are positively and significantly associated with supply chain agility. However, a further analysis using regression revealed that regulatory framework and organisational culture are the only significant predictors of supply chain agility and together, all the four traits account for 28.1% variance in supply chain agility.Research limitations/implicationsThis study applies the institutional theoretical framework to provide an empirical understanding of the role of institutional and cultural factors in supply chain management practice. Furthermore, it confirms and expands on the existing theories about supply chain agility.Practical implicationsThe findings provide firm ground for managerial decisions regarding emphasis on external factors in building firms' supply chain agility. Managers should scan the macro-environment and make conscious firm decisions regarding institutions and culture in certain geographical locations. The host countries should also be aware of their role in building firms' supply chain agility.Originality/valueDistinctive from the literature on antecedents of supply chain agility, which predominantly focuses on the firm and supply chain capabilities, this study utilises the paradigm of institutional fit to empirically show how managers in a developing country wishing to build supply chain agility should not only focus on their supply chains and internal operations, but go beyond and consider geographical traits when making firm location and/or operational decisions for certain geographical contexts in order to achieve fit.

Blockchain Technologies in Logistics and Supply Chain Management: A Bibliometric Review

The emergence of blockchain technology has sparked significant attention from the supply chain management (SCM) and logistics communities. In this paper, we present the results from a thorough bibliometric review that analytically and objectively identifies the intellectual structure of this field, the seminal papers, and the most influential scholars. We employ a knowledge domain visualization technique to generate insights that go beyond other review studies on blockchain research within logistics and SCM. The analysis starts with selecting a total of 628 papers from Scopus and the Web of Science that were published during 2016–2020. The bibliometric analysis output demonstrates that the number of blockchain papers has rapidly increased since 2017. The most productive researchers are from the USA, China, and India. The top academic institutions contributing to the literature are also identified. Based on network analyses, we found that the literature concentrates mainly on the conceptualization of blockchain; its potentials for supply chain sustainability; its adoption triggers and barriers; and its role in supporting supply chain agility, trust, protection of intellectual property, and food/perishable supply chains. Besides systematically mapping the literature, we identify several research gaps and propose numerous actionable research directions for the future. This study enriches the extant blockchain literature, provides a timely snapshot of the current state of research, and examines the knowledge structure of blockchain research in logistics and SCM with the help of evidence-based scientometric methods.