Information technology is an enabling factor affecting supply chain performance in Indian SMEs

2016 ◽  
Vol 11 (1) ◽  
pp. 269-287 ◽  
Author(s):  
Sushanta Tripathy ◽  
Satyabrata Aich ◽  
Anurup Chakraborty ◽  
Gyu M. Lee

Purpose – The purpose of this paper is to identify the success factors for supply chain in Indian small- and medium-scale enterprises (SMEs) and establish a causal relationship among them. In the present scenario, the SMEs are under huge pressure to achieve the supply chain competitive advantage and to improve operation and logistic effectiveness and, at the same time, remain tractable to the demand uncertainty and volatility in the market. To enhance the performance of supply chain in SMEs, the managers need to identify the internal as well as the external factors that affect the supply chain performance of SMEs in India. They need to understand the causal relationship of these factors. Design/methodology/approach – There may be a number of factors that are critical for achieving acceptable supply chain performance, and these factors have been identified by principal component analysis (PCA). In all, 29 factors have been identified by using PCA and the dominating 29 factors are categorized into 6 constructs, and finally, the structural equation modelling (SEM) methodology using the AMOS 4.0 program has been adopted as the primary methodology for this paper to assess the causal relationship among six constructs. Findings – In this paper, the authors analyzed the structural relations among information technology (IT), logistic effectiveness, operational effectiveness, customer relationship, supplier relationship and SCM competitive advantage. Results indicate that IT holds the key to achieve the SCM competitive advantage in SCM practices of SMEs in India. Research limitations/implications – The proposed models for enabling factors are tested in firms with a limited numbers of factors in highly competitive environment. More factors may be incorporated, which will help for a clear understanding and establishing the causal relationship among the various enabling factors. Practical implications – Although managers of Indian SMEs are aware of various enabling factors, a systematic approach is required for identifying enabling factors, and as these factors may have complex interrelation between them for analyzing supply chain performance in SMEs, it is essential that such an approach is in place. The paper presented here will help the SMEs managers in identifying the areas in which they need to focus their attention to improve SCM practices. A structural equation modelling is developed to show the complex relationship between the factors that affect the performance. In addition to that, the proposed structural equation model acts as a good guideline to improve the performance of the supply chain in India. Originality/value – The paper provides a structural equation model to develop a map of the causal relationships and magnitude among identified enabling factors.

2014 ◽  
Vol 19 (5/6) ◽  
pp. 733-746 ◽  
Author(s):  
Young-Joon Seo ◽  
John Dinwoodie ◽  
Dong-Wook Kwak

Purpose – This purpose of this paper is to study the impact of innovativeness on supply chain integration (SCI) and supply chain performance (SCP) and the role of SCI in mediating between innovativeness in the supply chain and SCP. Innovativeness is an accepted driver to leverage firm performance. SCI and SCP require innovativeness in the supply chain, but their interrelationships have rarely been researched empirically. Design/methodology/approach – A questionnaire survey and structural equation modelling were used in this work. After a structural and measurement model was devised from existing supply chain literature, the main data were collected in a web-based questionnaire survey of South Korean manufacturers. Structural equation modelling was applied to test proposed hypotheses on the associations between variables, following a hierarchical analysis process. Findings – Innovativeness in the supply chain had a positive impact on both SCI and SCP. However, the direct impact of innovativeness on SCP disappeared when the model included SCI as a mediator. In specific, internal and supplier integration fully mediated innovativeness–SCP relationships, whereas customer integration had no mediating role on those relationships. The findings suggest that innovativeness can influence SCP only when the manufacturer’s level of SCI is sufficiently effective in developing necessary supply chain practices. Research limitations/implications – In this work, innovativeness in the supply chain effectively influenced SCP through the mediation of SCI. However, cross-sectional analysis in one nation using one response per organisation invites validation embracing other geographical areas and longitudinal studies. Practical implications – Design of an innovative culture within a firm and along a supply chain can enhance SCI practices by stimulating innovativeness. A high level of SCI should be pursued to effectively transform innovativeness into performance. Originality/value – This work seminally examines the effect of innovativeness in the supply chain on SCI and SCP as well as the mediating role of SCI in the relationships between innovativeness and SCP.


foresight ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samer Al-Shami ◽  
Mohammed Hariri Bakri ◽  
Hayder Adil ◽  
Abdullah Al Mamun

Purpose Previous studies equated information technology (IT) with the notion of effective resources. ITs improved firms’ competitive advantage and innovativeness. Yet, far fewer studies investigated types of IT competencies that corresponded to innovation capabilities, particularly in developing countries. The aim of this paper is to provide an investigation concerning the types of IT competencies and examine their influence on the innovation capabilities across high-tech firms. Design/methodology/approach A survey was randomly distributed to 274 respondents across four main sectors of Malaysian high-tech firms. The main sectors were electric and electronic, aerospace, computers and office machinery and pharmaceuticals. A structural equation model, Amos, was used to analyse data. Findings Three findings were surmised. First, IT competencies driven by IT infrastructure, alignment, management affected high-tech firms’ innovation capabilities. Second, absorptive capacity (AC) partially determined the relationship between IT infrastructure and IT alignment and innovation capabilities. AC also determined the relationship between IT management and innovation capabilities. The significance of IT competencies in the improvement of innovation capabilities was presented as a key predictor in bolstering high-tech manufacturing firms’ competitive advantage. Originality/value Two points on novelty were presented. First, by conceptualising IT competencies from resource-based theory (RBV), a shift in understanding RBV was presented. Second, alternative key predictors concerning how IT competencies could improve aspects of AC and innovation capabilities were presented.


Author(s):  
Prasanta Kumar Dey ◽  
Guo-liang Yang ◽  
Chrysovalantis Malesios ◽  
Debashree De ◽  
Konstantinos Evangelinos

AbstractAlthough the contribution of small and medium-sized enterprises (SMEs) to economic growth is beyond doubt, they collectively affect the environment and society negatively. As SMEs have to perform in a very competitive environment, they often find it difficult to achieve their environmental and social targets. Therefore, making SMEs sustainable is one of the most daunting tasks for both policy makers and SME owners/managers alike. Prior research argues that through measuring SMEs’ supply chain sustainability performance and deriving means of improvement one can make SMEs’ business more viable, not only from an economic perspective, but also from the environmental and social point of view. Prior studies apply data envelopment analysis (DEA) for measuring the performance of groups of SMEs using multiple criteria (inputs and outputs) by segregating efficient and inefficient SMEs and suggesting improvement measures for each inefficient SME through benchmarking it against the most successful one. However, DEA is limited to recommending means of improvement solely for inefficient SMEs. To bridge this gap, the use of structural equation modelling (SEM) enables developing relationships between the criteria and sub-criteria for sustainability performance measurement that facilitates to identify improvement measures for every SME within a region through a statistical modelling approach. As SEM suggests improvements not from the perspective of individual SMEs but for the totality of SMEs involved, this tool is more suitable for policy makers than for individual company owners/managers. However, a performance measurement heuristic that combines DEA and SEM could make use of the best of each technique, and thereby could be the most appropriate tool for both policy makers and individual SME owners/managers. Additionally, SEM results can be utilized by DEA as inputs and outputs for more effective and robust results since the latter are based on more objective measurements. Although DEA and SEM have been applied separately to study the sustainability of organisations, according to the authors’ knowledge, there is no published research that has combined both the methods for sustainable supply chain performance measurement. The framework proposed in the present study has been applied in two different geographical locations—Normandy in France and Midlands in the UK—to demonstrate the effectiveness of sustainable supply chain performance measurement using the combined DEA and SEM approach. Additionally, the state of the companies’ sustainability in both regions is revealed with a number of comparative analyses.


2016 ◽  
Vol 27 (4) ◽  
pp. 577-611 ◽  
Author(s):  
Gunjan Soni ◽  
Rambabu Kodali

Purpose – Several authors in extant literature have shown concern towards lacuna in availability of standard constructs in supply chain management (SCM). These standard constructs can represent pillars of SCM excellence. However, frameworks on SCM excellence unlike its contemporary fields are very few. Thus the purpose of this paper is to develop a path analysis for proposed framework of SCM excellence in Indian manufacturing industry proposed by Soni and Kodali (2014) using interpretive structural modelling (ISM) and structural equation modelling (SEM). Design/methodology/approach – The ISM is performed on two exemplary cases of supply chain in Indian manufacturing industry. These cases were selected on the consideration of supply chain excellence index (SCEI), based on the results of an empirical study conducted by Soni and Kodali (2014) in Indian manufacturing industry. The focal manufacturing company which exhibited lowest and highest SCEI were selected as contenders for developing ISM. The relationships among pillars and constructs of SCM excellence framework are obtained from ISM, and later are subjected to statistical testing of model fit by using SEM. The input to SEM was the respondent’s data used in previous study. Findings – The major findings revealed that ISM based on focal company having highest SCEI, is statistically fit for SCM excellence framework, and finally the structural models of the constructs for each pillar of SCM excellence are also formed by using path analysis. Originality/value – The study offers a unique managerial approach for analysing the underlying relationships between pillars of SCM excellence. Researchers can use this study for developing frameworks in various realms of SCM excellence.


2018 ◽  
Vol 23 (6) ◽  
pp. 500-517 ◽  
Author(s):  
Himanshu Shee ◽  
Shah Jahan Miah ◽  
Leon Fairfield ◽  
Nyoman Pujawan

PurposeTheorising from the intersection of supply chain and information systems (IS) literature, this study aims to investigate supply chain integration (SCI) as a multidimensional construct in the context of cloud-based technology and explores the effect of cloud-enabled SCI on supply chain performance, which will eventually improve firm sustainability from a resource-based view (RBV). In addition, the moderating effect of top management is explored.Design/methodology/approachUsing cross-sectional survey data collected from a sample of 105 Australian retail firms, this study used structural equation modelling to test the hypothesised relationship of cloud-enabled SCI with performance in a theoretical model.FindingsResults show that cloud-based technology has positive effect on SCI, and the cloud-enabled SCI is positively related to supply chain performance which eventually influenced firm sustainability. Further, top management intervention moderates the relationship between supplier and internal integration with supply chain performance. But it is found to have no moderating effect on the relationship between customer integration and supply chain performance.Practical implicationsRecognising the potential benefits of emerging cloud-based technologies reported in this study, retail managers need to understand that higher order SCI requires the support of cloud-based technology to improve supply chain performance and firm sustainability.Originality/valueThis research extends prior research of information and communication technologies-enabled SCI and its effect on supply chain performance which overly remains inconsistent. In addition, IS literature abounds with discussion on cloud computing technologyper se, and its adoption in supply chain is overly rhetoric. This study fills this gap by conceptualising the multiple dimensions of SCI enabled by cloud-based technology and the way it affects supply chain and firm sustainable performance. Investigating SCI in context of cloud-based technology is a unique contribution in this study. The moderating effect of top management in this decision also adds to the current body of literature.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
David Asamoah ◽  
Dorcas Nuertey ◽  
Benjamin Agyei-Owusu ◽  
Joseph Akyeh

PurposeThe study examines how supply chain responsiveness (logistics process responsiveness, operations systems responsiveness and supplier network responsiveness) impacts the ability of firms to attract, satisfy and retain customers.Design/methodology/approachUsing a quantitative approach, a total of 250 questionnaires were distributed to firms in the Kumasi metropolis in the Ashanti Region of Ghana, with 100 useable responses retrieved. The effect of supply chain responsiveness on customer development was analysed using partial least squares structural equation modelling.FindingsThe findings showed that operations systems responsiveness and supplier network responsiveness drive the logistics systems responsiveness of firms as hypothesized. It was also revealed that operations systems responsiveness and logistics process responsiveness enhanced customer development, but supplier network responsiveness did not. Logistics process responsiveness additionally partially mediated the effect of operations systems responsiveness on customer development.Originality/valueTo the best of the researchers' knowledge, no previous studies have empirically examined interrelationships between the dimensions of supply chain responsiveness. Additionally, no previous study has examined the effect of supply chain responsiveness on customer development.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Idrees Asghar ◽  
Haris Aslam ◽  
Amer Saeed

PurposeThis research aims to understand how competencies for supply chain professionals are developed and how they can affect the manager's performance, especially the manager's resilience in times of significant supply chain disruptions.Design/methodology/approachA research model was developed based on a comprehensive literature survey in the area of individual competencies grounded in the knowledge-based view of the firm. We tested our research model using a quantitative, survey-based study with a sample of 175 Pakistani supply chain managers. The hypotheses were tested using structural equation modelling (SEM).FindingsThe analysis identified corporate training and knowledge sharing as the main antecedents of supply chain professional's competencies. It also showed that these competencies result in higher performance in the form manager's resilience and job performance.Research limitations/implicationsThis study provides a valuable framework for organisations to focus on skill-developing training and promoting a knowledge-sharing culture among employees to achieve desired performance levels.Originality/valueThis study is unique as no prior research studied such a comprehensive model of antecedents and consequences of supply chain professionals' competencies.


2018 ◽  
Vol 29 (3) ◽  
pp. 608-628 ◽  
Author(s):  
Gensheng (Jason) Liu ◽  
Weiyong Zhang ◽  
Chundong Guo

PurposeEffective mass customization (MC) depends on accurately identifying customer needs and procuring appropriate components from supply base to manufacture the required product configurations in a timely manner. In essence, effective MC for a focal firm is contingent on effective supply chain management. However, extant literature is not very clear on how supply chain (SC) planning and integration activities affect MC. The purpose of this paper is to fill the gap by examining the impacts of SC-planning and SC-integration on MC.Design/methodology/approachOrganizational information processing theory is used to link SC-integration with MC ability, and a link is hypothesized between SC-planning and SC-integration. The structural equation model is then analyzed using data from 262 manufacturing plants.FindingsIt is found that SC-integration fully mediates the relationship between SC-planning and MC-ability.Research limitations/implicationsThe SC-integration measure is from a focal manufacturer’s standpoint, rather than the standpoint of the entire SC.Practical implicationsThe results indicate that using a SC perspective in planning activities helps a focal firm integrate with key stakeholders along the SC, which subsequently helps the firm mass customize. Practitioners should recognize the added importance of SC-planning and SC-integration if they want to mass customize.Originality/valueThis study provides a theoretical foundation for the relationship between SC-integration and MC. It also provides a more comprehensive conceptualization of SC-integration, which includes supplier integration, customer integration, as well as internal functional integration which was neglected in many previous studies.


2019 ◽  
Vol 25 (4) ◽  
pp. 625-646 ◽  
Author(s):  
Hassan Barau Singhry ◽  
Azmawani Abd Rahman

Purpose Despite the importance of collaborative planning, forecasting, and replenishment (CPFR), its influence on supply chain innovation capability (SCIC) and supply chain performance (SCP) has not been sufficiently examined. The purpose of this paper is to examine the antecedence of SCP through CPFR and SCIC. Design/methodology/approach Through cluster and stratified random sampling, 286 responses from top managers of 1,574 Nigerian manufacturing companies were analyzed. Data analysis was performed using structural equation modeling with AMOS graphics. Findings The results show that SCIC has a full mediating effect on the relationship between CPFR and SCP. Specifically, CPFR has a significant relationship with both SCP and SCIC, and SCIC also relates significantly to SCP. Practical implications This study offers implications for manufacturers in developing countries in general, and in Nigeria in particular, by providing a guideline on how to improve SCP through CPFR. Originality/value The paper contributes to the limited studies on CPFR and SCP by extending this line of study into the realm of innovation capability and innovation. It integrates the social exchange theory and the dynamic capabilities theory to examine the collaborative processes of CPFR in the supply chain context. This study stressed the importance of boundary theoretical spanning by extending CPFR and SCP into the domain of innovation capability.


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