Risk-agility interactive model: a new look at agility drivers

2017 ◽  
Vol 12 (4) ◽  
pp. 690-711
Author(s):  
Seyed Mahmoud Zanjirchi ◽  
Negar Jalilian ◽  
Ali Mirhoseini
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Structural Equation ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Supply Chain Risk ◽  
Organizational Agility ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Supply Chain Agility

Purpose According to the definitions presented for agility drivers, it can be mentioned that supply chain risk factors in terms of feature have very close roles to agility drivers and both of these factors impact the uncertainty in the environment. However, the risk factors with a wider domain are more comprehensive. This study aims to examine the effectiveness of risk as a driver on the organizational agility. Design/methodology/approach To conduct the research, after identification of influential risk factors of supply chain and indicators of organizational agility, questionnaires needed for the research were designed and after confirming their validity and reliability were distributed among the member of the sample. To assess the relationship between supply chain risk and the amount of organizational agility, data obtained from the questionnaires were analyzed using structural equation modeling technique. Findings The results of data analysis showed that supply chain risk factors could be considered as a driver affecting the organizational agility. In addition, in this study, supply chain risk factors were ranked using interpretive structural modeling. The presented comprehensive model indicated that based on causal relationships between risk factors, sovereign risk as the basis for model (three levels) and product and customer satisfaction risks as the output of the model (Level 1) were considered. Originality/value This paper fulfills an identified need to study how the risk factors as drivers of supply chain agility can have effect on agility.

scholarly journals Understanding supply chain analytics capabilities and agility for data-rich environments

2019 ◽  
Vol 39 (6/7/8) ◽  
pp. 887-912 ◽  
Author(s):  
Samuel Fosso Wamba ◽  
Shahriar Akter
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Supply Chain Agility ◽  
The Usa

Purpose Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator. Design/methodology/approach The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model. Findings The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented. Originality/value The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.

Analysis of Indian retail demand chain using total interpretive modeling

2017 ◽  
Vol 12 (3) ◽  
pp. 322-348 ◽  
Author(s):  
Arun Kumar Deshmukh ◽  
Ashutosh Mohan
Keyword(s):  
Supply Chain ◽  
Organizational Performance ◽  
Structural Equation ◽  
Influential Factors ◽  
Equation Modeling ◽  
Exploratory Research ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Demand Chain ◽  
Marketing Orientation

Purpose The study aims to present demand chain management (DCM) modeling of Indian apparel retailers. This will result in a structured model presenting contextual interrelationship among DCM variables so that retailers can proactively manage their demand chain. Design/methodology/approach The research follows an exploratory research design. It initially involves identification and analysis of influential factors of the implementation of DCM practices through the review of literature. Then, these variables were analyzed using total interpretive structural modeling or TISM followed by a statistical verification and case-based validation of the model. Findings The major findings of the paper are: top-management commitment and support, information management and supply chain agility in supply chain are the most significant enablers with the highest driving power. The other apparel retail specific significant variables are assortment planning, category management and marketing orientation. The model also indicates that the firms that implement customer-centric DCM practices do well in terms of organizational performance and thereby achieve differential advantage over their competitors. Research limitations/implications Because the literature on DCM is still in nascent stage, the study bases itself on interpretive method; that is, TISM of analysis with a limited number of experts. Future studies may consider larger sample with more advanced statistical tools such as structural equation modeling for further validation of the findings. Originality/value The novelty of the paper lies in the study of an emerging supply chain philosophy; that is, DCM and its key practices per se. It has rarely been studied from the theory building perspective hitherto. Moreover, TISM-based approach is applied for the first time to study the DCM practices and its drivers vis-à-vis dependents.

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

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Taha Jafari ◽  
Azim Zarei ◽  
Adel Azar ◽  
Alireza Moghaddam
Keyword(s):  
Supply Chain ◽  
Business Intelligence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Research Approach ◽  
Supply Chain Performance ◽  
Content Type ◽  
Supply Chain Agility ◽  
Two Phases ◽  
The Impact

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.

Supply chain antecedents of agile manufacturing in a developing country context

2018 ◽  
Vol 29 (6) ◽  
pp. 1042-1064 ◽  
Author(s):  
Ayman Bahjat Abdallah ◽  
Israa Hussein Nabass
Keyword(s):  
Supply Chain ◽  
Developing Country ◽  
Structural Equation ◽  
Manufacturing Sector ◽  
Agile Manufacturing ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Validity And Reliability ◽  
Content Type ◽  
Internal Integration

Purpose The purpose of this paper is to determine supply chain practices that contribute most to the success of agile manufacturing (AM), and to examine their effects on its implementation levels in the Jordanian manufacturing sector. It also investigates the effect of AM on operational performance (OP). Design/methodology/approach The study is based on survey data collected from 294 manufacturing companies from different industry types in Jordan. Validity and reliability analyses were performed using SPSS and AMOS, and the study hypotheses were tested using structural equation modeling. Findings The results revealed that supplier involvement, internal integration, and modularization of products positively and significantly affect AM. Customer involvement and postponement were insignificantly related to AM. Further, the results demonstrated that AM positively and significantly affect OP. Originality/value A limited number of previous studies investigated supply chain antecedents of AM. Further, there is no consensus among researchers on these practices. In addition, this area is underinvestigated in the developing countries in general and in Jordan in particular. The current study contributes to the literature by determining the most commonly linked supply chain practices to AM and examining their effects on its implementation levels in the context of a developing country, Jordan.

Achieving supply chain resilience: the role of supply chain ambidexterity and supply chain agility

2020 ◽  
Vol 31 (6) ◽  
pp. 1185-1204 ◽  
Author(s):  
Haris Aslam ◽  
Abdul Qadeer Khan ◽  
Kamran Rashid ◽  
Saif-ur Rehman
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Equation Modeling ◽  
Simultaneous Application ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Supply Chain Agility ◽  
The Relationship

PurposeThis study analyzes the role of supply chain ambidexterity (SC-Ambidexterity) in developing supply chain resilience (SC-Resilience). We describe SC-Ambidexterity as a simultaneous application of supply chain adaptability (SC-Adaptability) and supply chain alignment (SC-Alignment) capabilities. We also consider the role of supply chain agility (SC-Agility) in the relationship between SC-Ambidexterity and SC-Resilience. We further suggest that the relationship between SC-Ambidexterity and SC-Resilience may be stronger in case of higher market uncertainty.Design/methodology/approachBased on the dynamic capabilities view (DCV) of the firm, we develop a set of hypotheses that are tested through a survey of manufacturing firms in Pakistan. The hypothesized model is tested through structural equation modeling (SEM).FindingsThe results of this study show a positive effect of SC-Ambidexterity on SC-Resilience. SC-Agility positively mediates the relationship between SC-Ambidexterity and SC-Resilience. However, our results show that this relationship does not vary at different levels of environmental uncertainty.Originality/valueThis study provides the seminal operationalization of SC-Ambidexterity in the supply chain context. It further shows the importance of SC-Ambidexterity and SC-Agility in contributing toward SC-Resilience.

Building theory of green supply chain management for the chemical industry

2020 ◽  
Vol 31 (5) ◽  
pp. 1285-1308 ◽  
Author(s):  
Shohanuzzaman Shohan ◽  
Syed Mithun Ali ◽  
Golam Kabir ◽  
S.K. Kafi Ahmed ◽  
Tasmiah Haque ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Chemical Industry ◽  
Structural Equation ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Equation Modeling ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Content Type

PurposeIn Bangladesh, the chemical industry is one of the expanding industries based on current statistical data analysis. Green supply chain management (GSCM) is pivotal in order to compete with the global competition. This paper main aim is to discuss a systematic approach to build a structural outline. The purpose of the proposed structural outline is to predict the constructive implementation of GSCM especially on chemical industry in Bangladesh.Design/methodology/approachThis proposed structural framework evaluates the suitable interrelationship next to the barriers of GSCM in the Bangladesh's chemical industry. Here, on the basis of literature review and survey from expert opinions by the use of the Delphi methodology in total eight barriers were concluded. Here additionally, MICMAC analyses were applied to determine the driving and dependence power. Furthermore, the frameworks outline for the barriers were included by means of total interpretive structural modeling (TISM) method.FindingsBased on the analysis, the most significant barriers were found lack of supporting laws and guidance from the government and cost of disposal of hazardous products.Research limitations/implicationsThe TISM technique only has implemented to develop the framework, whereas other tools or structural equation modeling (SEM) technique can be used to develop and validate the frameworks for barriers.Originality/valueIn this research, Delphi method questionnaire generated based on the GSCM in the Bangladesh chemical sector. This study will assist the industrial managers to assess and evaluate the crucial sectors, whereas they should give priority to apply the GSCM in the Bangladesh chemical industry.

The road to supply chain agility: an RBV perspective on the role of logistics capabilities

2014 ◽  
Vol 25 (1) ◽  
pp. 160-179 ◽  
Author(s):  
David M. Gligor ◽  
Mary Holcomb
Keyword(s):  
Supply Chain ◽  
Information Management ◽  
Structural Equation ◽  
Critical Role ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Supply Chain Agility ◽  
Effective Manner ◽  
Logistics Capabilities

Purpose – The concept of supply chain agility (SCA) has been identified as one of the most important issues in supply chain management literature. However, despite the popularity of the concept, many attributes of SCA are largely unexplored. One area that is deficient in research is the antecedents of SCA. This paper aims to seek further theory development by addressing these gaps in the SCA literature. Design/methodology/approach – Data for this study were obtained from a field survey. A mail questionnaire was constructed that contained items measuring the constructs of interest. The theoretical model was evaluated using structural equation modeling. Findings – The findings indicate that logistics capabilities positively impact SCA. The results provide empirical evidence for logistics’ unique and critical role in helping firms respond in a timely and effective manner to market volatility and other uncertainties. Research limitations/implications – As is the case with most supply chain survey research, the constructs of interest were evaluated based on the perception of a single party involved in a specific relationship. Future research using multiple dyads or triads within various supply chains could address this limitation. Practical implications – If limited resources are available for investment (as is often the case), a more balanced distribution of resources toward the development of multiple logistics capabilities (e.g. demand-management interface, information-management interface) is preferred to pooling all the resources toward the development of a single capability (e.g. information-management interface). Originality/value – Considering logistics’ boundary-spanning nature, prior research suggest that logistics capabilities perform a key role in achieving SCA. However, the relationship between firm-specific logistics capabilities and SCA has not been empirically tested. This paper address that gap in the research.

Impact of a country’s logistical capabilities on supply chain risk

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
R. Sreedevi ◽  
Haritha Saranga ◽  
Sirish Kumar Gouda
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Supply Chain ◽  
Risk Perception ◽  
Risk Perceptions ◽  
Structural Equation ◽  
Primary Data ◽  
Equation Modeling ◽  
Supply Chain Risk ◽  
Content Type

Purpose This paper aims to examine the relationship between environmental factors, risk perception and decision-making in risk management. Specifically, using attribution theory, the authors study the influence of macro-level logistical capabilities of a host country on a firm’s actual and perceived supply chain risk, and examine if this country-level factor and the firm level perception of risk affect a firm’s decision-making in risk management. Design/methodology/approach This study uses a combination of primary data from 932 manufacturing firms from 22 countries and secondary data from the logistics performance index (LPI), and empirically tests the conceptual framework using partial least squares structural equation modeling. Findings Key results reveal that a country’s logistical capabilities, measured using LPI, have a significant impact on managers’ risk perception. Firms located in countries with high LPI perceive lower risk in their supply chain both in the upstream and downstream, and therefore do not invest much in external integration, compared to firms in low LPI countries, and hence are exposed to high risk. Originality/value This is one of the first empirical studies linking a country’s logistical capabilities with supply chain risk perceptions, objective supply chain risk and supply chain risk management efforts of a firm using the International Manufacturing Strategy Survey database.

Examining the role of stakeholder pressure and knowledge management on supply chain risk and demand responsiveness

2014 ◽  
Vol 25 (1) ◽  
pp. 202-223 ◽  
Author(s):  
David E. Cantor ◽  
Jennifer Blackhurst ◽  
Mengyang Pan ◽  
Mike Crum
Keyword(s):  
Risk Management ◽  
Knowledge Management ◽  
Supply Chain ◽  
Structural Equation ◽  
Risk Mitigation ◽  
Equation Modeling ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this paper is to contribute to the supply chain risk management literature by examining how stakeholders place pressure on the firm to engage in risk management activities. Design/methodology/approach – This paper utilizes a survey approach to test the nomological model. The analysis was carried out using structural equation modeling techniques. Findings – The results demonstrate that stakeholders place pressure on the firm to mitigate risk and that knowledge management (KM) and joint planning activities with suppliers serve as mediating roles in the model. The process-oriented model reveals that these factors influence the firm's ability to be responsive to customer demand. Originality/value – The research represents one of the first papers to empirically test how stakeholder theory and KM contributes to risk mitigation activities. Additionally, the paper shows the impact of KM factors on risk mitigation activities. The paper attempts to explain from both a theoretical and empirical perspective how and why firms are engaging in risk mitigation activities and how the impacts demand responsiveness.

The effect of supply chain agility on export performance

2019 ◽  
Vol 30 (5) ◽  
pp. 821-839 ◽  
Author(s):  
Haya Fawzi Ayoub ◽  
Ayman Bahjat Abdallah
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Export Performance ◽  
Industrial Sector ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Mediating Effects ◽  
Content Type ◽  
Supply Chain Agility ◽  
The Relationship

Purpose The purpose of this paper is to examine the effect of supply chain agility (SCA) on supply chain responsiveness (SCR), supply chain innovativeness (SCI) and export performance (EP) in the industrial sector in Jordan. It also explores the effects of SCR and SCI on EP. In addition, the study investigates the mediating effects of SCR and SCI on the relationship between SCA and EP. Design/methodology/approach A questionnaire was prepared based on the extant literature. Data were gathered from 290 companies representing various types of manufacturing in Jordan. The appropriate tests were employed to ensure the validity of the study constructs and their reliability. Hypotheses were tested using structural equation modeling. Findings SCA was found to directly and positively affect EP. It also positively affected SCR and SCI. In addition, SCR and SCI fully mediated the SCA–EP relationship. Originality/value This study is one of the first to investigate the effect of SCA on EP. Also, it is the first, to the best of the authors knowledge, to highlight the effect of SCA on SCI. Further, this is the first study to examine the mediating effect of SCI on the SCA–EP relationship. Similarly, the mediating effect of SCR on the SCA–EP relationship has rarely been investigated in the literature.

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