Modeling the enablers of supply chain strategies and information technology: improving performance through TISM approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Irfan ◽  
Mingzheng Wang ◽  
Abaid Ullah Zafar ◽  
Mohsin Shahzad ◽  
Tahir Islam
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Textile Industry ◽  
Process Automation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Fourth Level ◽  
Managerial Implications ◽  
Flexible Capacity ◽  
Garment Manufacturing

Purpose This study aims to investigate the hierarchical relationship between industry-specific attributes of supply chain (SC) strategies and information technology (IT) to improve the performance of firms in textile industry in Pakistan. Design/methodology/approach This study presents a mix of enablers through literature review and experts’ opinions. Next, the driving and dependence powers of enablers were identified, using the interpretive structural modeling (ISM) approach. Findings The ISM model suggests eight levels, with customer satisfaction at the top of the model. Process automation and TQM are placed at second and third level, respectively, whereas flexible sourcing and flexible capacity are positioned at fourth level. The key enablers of IT have high driving power, hence positioned at the bottom of ISM model. Originality/value This study has value for firms in garment manufacturing and exporting industry to invest into IT and sustainable SC design for competitive performance. The theoretical and managerial implications are provided.

Achieving sustainability through the lean and resilient management of the supply chain

2019 ◽  
Vol 49 (2) ◽  
pp. 122-155 ◽  
Author(s):  
Rocio Ruiz-Benitez ◽  
Cristina López ◽  
Juan C. Real
Keyword(s):  
Supply Chain ◽  
Three Dimensions ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Lean Practices ◽  
Aerospace Sector ◽  
Managerial Implications ◽  
Different Dimensions ◽  
The Relationship ◽  
Resilient Supply Chain

Purpose In the present work, lean and resilient practices applied to supply chains are studied in order to evaluate their impact on the three dimensions of sustainability. Additionally, the mutual impact of lean and resilient supply chain practices is investigated. The paper aims to discuss these issues. Design/methodology/approach The aerospace sector and its supply chain are chosen, since lean and resilient practices have been proven relevant in the sector. A methodology based on Interpretive Structural Modeling approach is applied in order to identify the existing relationships between lean and resilient supply chain practices and their impact on the three different dimensions of sustainability. Findings The results reveal synergetic effects between lean and resilient practices. The former practices act as drivers of the latter practices. Hence, lean practices lead to direct and indirect effects in achieving supply chain sustainability. Research limitations/implications The relationship between lean and resilient practices has been studied for the aerospace sector. Different sectors may lead to different results as the practices considered important in each sector may differ as well as the way in which each practice is implemented. Originality/value This study highlights the relationship existing between lean and resilient supply chain practices and their impact on sustainability. Additionally, several managerial implications are drawn out to help managers make better decisions.

The role of demand management in achieving supply chain agility

2014 ◽  
Vol 19 (5/6) ◽  
pp. 577-591 ◽  
Author(s):  
David M. Gligor
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Flexible Manufacturing ◽  
Demand Management ◽  
Comprehensive Review ◽  
Content Type ◽  
Turbulent Environments ◽  
Supply Chain Agility ◽  
Managerial Implications

Purpose – The purpose of this paper is to explore the role of demand management in achieving supply chain agility (SCA) through a multi-disciplinary review of the relevant research. The systematic literature review provides the basis for formulating a conceptual framework of the relationship. Design/methodology/approach – A systematic, comprehensive review of the literature on manufacturing, marketing organizational and SCA from 1991 through 2013 was conducted. The literature on demand management is also examined to identify the various elements that contribute to SCA. Findings – Most agility frameworks take a supply-side perspective and assume that demand is known. Those that do acknowledge the role of demand fall short of offering a holistic framework that acknowledges the role of both. This paper suggests that it is simply not enough to have flexible manufacturing, distribution and procurement systems to achieve SCA. Flexibility in managing demand is also needed. Furthermore, it is the premise of this paper that demand and supply integration (DSI) inside the firm is critical to achieving SCA. Research limitations/implications – This research is a systematic, integrative review of the existing literature on the concept of agility. As such, the next phase of research needed for theory building will be the operationalization of constructs and testing of the hypothesized relationships proposed by the conceptual framework. Practical implications – The paper has several managerial implications as well. It illustrates how firms can create and sustain competitive advantages in turbulent environments. Managers can use the framework developed here to assess what structures and decision-making processes they can use to increase the firm’s SCA. Practitioners can use this model as a checklist to identify candidate areas for improving agility. The section illustrating the use of knowledge management to increase DSI should be of particular interest to managers, considering that a great deal of firms experience a disconnect between demand creation and supply fulfillment. Originality/value – Through a systematic, comprehensive review of multi-disciplinary literature, the paper explores the role of demand management in achieving SCA.

Restaurant dependence/autonomy in the supply chain and market responsiveness

2018 ◽  
Vol 30 (9) ◽  
pp. 2945-2964 ◽  
Author(s):  
Meehee Cho ◽  
Mark A. Bonn ◽  
Alex Susskind ◽  
Larry Giunipero
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Technology Adoption ◽  
Moderating Effect ◽  
Hierarchical Regression ◽  
Content Type ◽  
Information Technology Adoption ◽  
Supply Relationship ◽  
Market Responsiveness ◽  
Positive Effect

Purpose This study aims to understand how restaurant dependence and autonomy within the supply chain influence market responsiveness. An examination of influences related to improving market responsiveness was also conducted by investigating the moderating roles of information technology adoption and trust. Design/methodology/approach Hierarchical regression models were developed to test the hypothesized relationships. In particular, data were obtained from only independent restaurant owners and managers because of their ability to select and determine their own suppliers. Findings Results revealed that restaurant autonomy from suppliers has a more positive effect on market responsiveness than supplier dependence. The moderating test results revealed that information technology adoption significantly improved the relationships between restaurant dependence and market responsiveness, while exhibiting no significant moderating effect. Restaurant trust in suppliers significantly improved the positive effect of autonomy upon market responsiveness; however, it had no significant moderating effect on this link. Originality/value This study was conducted to identify what types of supplier relationships should be pursued to improve the independent restaurant’s ability to effectively respond to market conditions. The findings regarding the moderating effects of information technology adoption and trust provided clear evidence that buyer–supply relationship strategies should be developed in consideration of those distinguishable characteristics unique to the operations and environment of independent restaurants. Practical implications Findings can be applied to developing desirable relationships with suppliers characterized by restaurant dependence or autonomy and contribute to improving managerial actions for independent restaurants involving adopting information technology and building trust.

Sustainable logistics barriers of fruits and vegetables

2018 ◽  
Vol 25 (8) ◽  
pp. 2589-2610 ◽  
Author(s):  
Rakesh Raut ◽  
Bhaskar B. Gardas
Keyword(s):  
Supply Chain ◽  
Value Chain ◽  
Fruits And Vegetables ◽  
Structural Model ◽  
Fresh Produce ◽  
Sustainable Transportation ◽  
Three Dimensions ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Sustainable Logistics

PurposeThe reduction of food wastage at every stage of a fresh produce supply chain helps in achieving balance among all three dimensions (social, ecological and economic) of the sustainability and helps in stimulating the growth and development in the agricultural domain. The purpose of this paper is to address the causal factors of post-harvesting losses (PHLs) occurring in the transportation phase.Design/methodology/approachThrough exhaustive literature survey and expert opinions, 12 crucial barriers to sustainable transportation of fruits and vegetables (F&V) are identified. The interpretive structural modeling (ISM) methodology, a multi-criteria decision-making (MCDM) approach, is employed for developing a structural model of the identified barriers.FindingsThe results of the analysis highlighted that two factors, namely, the non-availability of refrigerated vehicles, and excessive loading on the vehicles, are the most significant barriers to sustainable transportation which are found to have the highest driving power.Research limitations/implicationsThe results of the present research are applicable to the F&V supply chains only. The established interrelation among the identified factors depends on the judgments given by the experts which could be biased. The developed ISM model is intended to guide the policy and decision makers for formulating the policies for the performance improvement of the fresh produce value chain.Originality/valueIt is the first research of its kind focusing on the model development of critical factors causing PHLs in the transportation phase of the agricultural fresh produce supply chain using MCDM process.

An integrated interpretive structural modeling and a graph-theoretic approach for measuring the supply chain complexity in the Indian automotive industry

2018 ◽  
Vol 29 (3) ◽  
pp. 478-514 ◽  
Author(s):  
Kavilal E.G. ◽  
Shanmugam Prasanna Venkatesan ◽  
Joshi Sanket
Keyword(s):  
Supply Chain ◽  
Automotive Industry ◽  
Structural Modeling ◽  
Theoretic Approach ◽  
Passenger Vehicle ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Graph Theoretic ◽  
Graph Theoretic Approach ◽  
Numerical Index

Purpose Easily employable quantitative supply chain complexity (SCC) measures considering the significant dimensions of complexity as well as the drivers that represent those dimensions are limited in the literature. The purpose of this paper is to propose an integrated interpretive structural modeling (ISM) and a graph-theoretic approach to quantify SCC by a single numerical index considering the interdependence and the inheritance of the SCC drivers. Design/methodology/approach In total, 18 SCC drivers identified from the literature are clustered according to the significant dimensions of complexity. The interdependencies established through ISM and inheritance values of SCC drivers are mapped into a Variable Permanent Matrix (VPM). The permanent function of this VPM is then computed and the resulting single numerical index is the measure of SCC. Findings A scale is proposed by computing the minimum and maximum threshold values of SCC with the help of expert opinions of the Indian automotive industry. The complexity of commercial and passenger vehicle sectors within the automotive industry is measured and compared using the proposed scale. From the results, it is identified that the number of suppliers, increase in spare-parts due to shortened product life-cycle and demand uncertainties increase the SCC of the passenger vehicle sector, while number of parts, products and processes, variety of products and process and unreliability of suppliers increase the complexity of the commercial vehicle sector. The result indicates that various SCC drivers have a different impact on determining the SCC level of these two sectors. Originality/value The authors propose an integrated method that can be readily applied to measure and quantify SCC considering the significant dimensions of complexity as well as the interdependence and the inheritance of the SCC drivers that contribute to those dimensions. This index further helps to compare the complexity of the supply chain which varies between industries.

How does information integration enhance SMEs’ credit quality: the mediating role of supply chain capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yaqin Yuan ◽  
Linlin Liu ◽  
Liu Liu
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Theoretical Model ◽  
Information Sharing ◽  
Information Integration ◽  
Theoretical Research ◽  
Equation Modeling ◽  
Content Type ◽  
Credit Quality

PurposeThis paper aims to investigate the relationship between information integration, supply chain capabilities and credit quality of small and middle enterprises (SMEs) in supply chain finance (SCF).Design/methodology/approachGrounded in the resource-based view (RBV) and signaling theory, this study proposes a theoretical model. Then, structural equation modeling and interview analysis are employed to test the theoretical model.FindingsThe results show that both two aspects of information integration, namely, information technology and information sharing, have positive effects on the SMEs’ credit quality in SCF, and these effects are mediated by supply chain capabilities.Originality/valueFirst, the paper contributes to SCF literature by simultaneously examining the role of two dimensions of information integration (information technology and information sharing) in enhancing SMEs’ credit quality. Second, this paper enriches the existing theoretical research on SCF by integrating the SMEs perspective and SCF service provider perspective. Moreover, this paper explores the indirect effects of information integration on SMEs’ credit quality by incorporating supply chain capabilities as a mediating factor.

Prioritizing the vaccine supply chain issues of developing countries using an integrated ISM-fuzzy ANP framework

2019 ◽  
Vol 15 (1) ◽  
pp. 112-165 ◽  
Author(s):  
Dheeraj Chandra ◽  
Dinesh Kumar
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Relevant Literature ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Vaccination Programs ◽  
Network Process ◽  
Key Issues

Purpose Delivering vaccines to the children who need them requires a supply chain that is efficient and effective. In most of the developing countries, however, the unknown and unresolved supply chain issues are causing inefficiencies in distributing vaccines. There is, therefore, a great need in such countries to recognize the issues that cause delays in vaccine delivery. With this purpose, the present study aims to identify and analyze the key issues in the supply chain of basic vaccines required to immunize children in developing countries. Design/methodology/approach Based on a field survey of three states of India, in-depth review of relevant literature and experts’ opinions, 25 key issues were recognized as factors of the vaccine supply chain (VSC) and categorized into five main domains. Using integrated interpretive structural modeling and fuzzy analytic network process approaches, the issues have been prioritized to determine their relative importance in the VSC. In addition, a sensitivity analysis has been performed to investigate the priority stability of the issues. Findings The results of the analysis show that among the five domains of VSC issues, the economic domain with a weight of 0.4262 is the most important domain, followed by the management (0.2672), operational (0.2222), environmental (0.0532) and social (0.0312). Research limitations/implications This study focuses on the prioritization of VSC issues; therefore, the results of the present study can provide direction to the decision-makers of immunization programs of developing countries in driving their efforts and resources on eliminating the most important obstacles to design successful vaccination programs. Originality/value To the authors’ knowledge, this paper is first to provide a direction to the decision-makers in identifying and managing important issues through the use of an analytical approach.

The moderating role of information technology capability in the relationship between supply chain collaboration and organizational responsiveness

2016 ◽  
Vol 36 (10) ◽  
pp. 1247-1271 ◽  
Author(s):  
Zhao Cai ◽  
Qian Huang ◽  
Hefu Liu ◽  
Liang Liang
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Hierarchical Regression ◽  
Supply Chain Collaboration ◽  
Organizational Responsiveness ◽  
Content Type ◽  
It Capability ◽  
Types Of Information ◽  
Information Technology Capability ◽  
The Relationship

Purpose The purpose of this paper is to propose a model to test the relationship between supply chain collaboration (SCC) and organizational responsiveness. Three types of information technology (IT) capability are considered as moderators in this relationship. Design/methodology/approach The study conducted a questionnaire survey of 208 firms from various industries in China. Hierarchical regression analysis was used to test the hypotheses. Findings SCC positively affects organizational responsiveness. Both outside-in and spanning IT capability positively moderates this relationship, whereas inside-out IT capability has a negative moderating effect on this relationship. Originality/value This research extends the knowledge regarding the value creation process of SCC from an organizational learning perspective. The study explores the moderating roles of three types of IT capability in this process and further clarifies the relationship between SCC and organizational responsiveness.

An ISM approach for the barrier analysis in implementing sustainable supply chain management

2017 ◽  
Vol 55 (8) ◽  
pp. 1824-1850 ◽  
Author(s):  
Mahmood Movahedipour ◽  
Jianqiu Zeng ◽  
Mengke Yang ◽  
Xiankang Wu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Qualitative Analysis ◽  
Matrix Multiplication ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management

Purpose Sustainability has been on the executive agenda for years and it is now one of the fastest growing supply chain management trends. The purpose of this paper is to analyze the barriers for the adoption and implementation of the sustainable supply chain management (SSCM) concept. Design/methodology/approach This study has been divided into two phases such as identification of barriers and qualitative analysis. First, to identify the most influential barriers, the authors offer a systematic literature review, taking 188 papers published from 2010 to November 2016 into account. The investigation phase led to the selection of 15 barriers based on the literature in consultation with industrial experts and academicians. Second, the interpretive structural modeling qualitative analysis was used to find out the mutual influences between the 15 barriers by a survey. Findings Further, the authors propose and illustrate the cross-impact matrix multiplication applied to classification analysis to test a framework that extrapolates SSCM barriers and their relationships. “Inadequate information technology implementation” has been identified as the most important barrier that may force organizations to implement SSCM practices to ensure their business sustainability. Research limitations/implications The authors presented some limitations in their research in some fields which could allow new researchers and practitioners to conduct the future research to grow in different dimensions. Practical implications Practitioners or policymakers usually are not familiar with these types of research works; that is why most of these surveys remain theoretical and conceptual. Future investigation needs to be done in practical application domain instead of merely giving opinions. Originality/value Based on the authors’ research, the researchers have more attention to work in conceptual analysis due to other fields, but the authors believe that even with the implementation of SSCM, many remarkable areas still exist for future research which could help in development. The authors also provide more details in this paper.

Joint order allocation and transportation planning under uncertainty within a socially responsible supply chain

2019 ◽  
Vol 15 (2) ◽  
pp. 531-565 ◽  
Author(s):  
R. Ghasemy Yaghin ◽  
P. Sarlak
Keyword(s):  
Supply Chain ◽  
Social Responsibility ◽  
Transportation Planning ◽  
Textile Industry ◽  
Research Work ◽  
Planning Under Uncertainty ◽  
Market Demand ◽  
Order Allocation ◽  
Total Contribution ◽  
Content Type

Purpose This paper aims to propose an integrated supplier selection, order allocation, transportation planning model, along with investment planning for corporate social responsibility (CSR), over a given multi-period horizon under uncertainty. Furthermore, a customer’s behavior to pay more money for items with CSR attributes is considered in the total market demand. Design/methodology/approach The objective functions, i.e. social value of purchasing, total profit (TP), total delivery lead-time, total air pollution, total water pollution and total energy consumption with regard to a number of constraints are jointly considered in a multi-product system. It is worth noting that operational- and sustainable-related parameters are usually vague and imprecise in this area. Therefore, this paper develops a new fuzzy multi-objective optimization model to capture this inherent fuzziness in critical data. Findings Through the numerical examples in the textile industry, the application of the model and usefulness of solution procedures are carried out. The numerical results obtained from the proposed approach indicate the efficiency of the solution algorithm in different instances. Moreover, the authors observe that social investment of the buyer, to stimulate market demand, can affect the TP and also involve the total contribution of suppliers in social responsibility. Originality/value This research work concentrates on providing a procurement and inventory model through the lens of sustainability to enable textile supply chain managers and related industries to apply the approach to their inventory control and supply management. Totally, the proposed methodology could be applied by many fabric buyers of textile industry tackling purchasing issues and attempting to perfect understanding of social supply chains.

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