The impact of cloud-enabled process integration on supply chain performance and firm sustainability: the moderating role of top management

2018 ◽  
Vol 23 (6) ◽  
pp. 500-517 ◽  
Author(s):  
Himanshu Shee ◽  
Shah Jahan Miah ◽  
Leon Fairfield ◽  
Nyoman Pujawan
Keyword(s):  
Supply Chain ◽  
Information And Communication Technologies ◽  
Structural Equation ◽  
Moderating Effect ◽  
Top Management ◽  
Supply Chain Performance ◽  
Unique Contribution ◽  
Content Type ◽  
The Impact ◽  
The Relationship

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.

Examining the impact of strategic supplier partnership, customer relationship and supply chain responsiveness on operational performance: the moderating effect of demand uncertainty

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jitendra Nenavani ◽  
Rajesh K. Jain
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Demand Uncertainty ◽  
Moderating Effect ◽  
Customer Relationship ◽  
Operational Performance ◽  
Manufacturing Companies ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to examine the impact of strategic supplier partnership and customer relationship on supply chain responsiveness and then to analyse the influence of supply chain responsiveness on operational performance in the manufacturing industry in India. In addition to that, this study also investigates the moderating effects of demand uncertainty on the relationship between strategic supplier partnership–supply chain responsiveness and customer relationship–supply chain responsiveness. Design/methodology/approach A structured self-administered questionnaire was developed to collect data from manufacturing companies in India. This study performed the structural equation modelling and moderated regression for testing the hypotheses after ensuring the validity and reliability of identified constructs. Findings Strategic supplier partnership and customer relationship positively influence supply chain responsiveness, and supply chain responsiveness also positively impacts operational performance. In addition to that, demand uncertainty negatively moderates the relationship between strategic supplier partnership and supply chain responsiveness. However, demand uncertainty does not significantly affect the relationship between customer relationship and supply chain responsiveness. Originality/value Strategic supplier partnership and customer relationship are firstly investigated as antecedents of supply chain responsiveness. To the best of the author’s knowledge, this study is one of the first to examine the moderating effect of demand uncertainty on the relationship between supply chain practices (strategic supplier partnership and customer relationship) and supply chain responsiveness.

Supply chain resilience for performance: role of relational practices and network complexities

2019 ◽  
Vol 24 (5) ◽  
pp. 659-676 ◽  
Author(s):  
Md Maruf Hossan Chowdhury ◽  
Mohammed Quaddus ◽  
Renu Agarwal
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Theoretical Perspective ◽  
Supply Chain Performance ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Relational Practices ◽  
Novel Approach ◽  
The Relationship ◽  
Different Levels

PurposeFollowing a contingent resource-based view (CRBV) perspective, this paper aims to explore the operating context in which supply chain resilience (SCRE) is likely to enhance the supply chain performance (SCP) of organizations. More specifically, the authors developed the ‘Supply Chain Resilience’ model wherein we considered two important exogenous context variables (supply chain relational practices [SCRPs] and network complexities [NCs]) and studied their moderating roles on the relationship between SCRE and SCP. The authors also investigated the conditional effect of SCRE on SCP at different levels of SCRPs and NCs.Design/methodology/approachThis study used both qualitative and quantitative approaches. For the qualitative approach, a field study was undertaken, while the quantitative study was conducted via the use of a survey questionnaire of 274 apparel manufacturers and their suppliers in Bangladesh. The authors applied Hayes PROCESS enabled multiple regression analysis and structural equation modelling to statistically test the proposed research models.FindingsThe research findings revealed that SCRP and NC individually moderated the link between SCRE and SCP. The link between SCRE and SCP was strengthened via the interaction effect of SCRP and NC, even if the NC value was high.Practical implicationsThe findings will assist supply chain managers in managing supply chain performance during uncertainties by strengthening resilience capability at different levels of NCs and SCRPs.Originality/valueDrawing on CRBV, the authors studied how the conditional effects of exogenous variables (SCRP and NC) moderated the relationship between SCRE and SCP in both two- and three-way interactions, which is a novel approach in the SCRE literature and also extends the theoretical perspective of CRBV.

Risk management integration and supply chain performance in ISO 9001-certified and non-certified firms

2019 ◽  
Vol 69 (6) ◽  
pp. 1205-1225 ◽  
Author(s):  
Scott Dellana ◽  
John F. Kros ◽  
Mauro Falasca ◽  
William J. Rowe
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Positive Impact ◽  
Mediating Effect ◽  
Iso 9001 ◽  
Supply Chain Performance ◽  
Content Type ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to explore the mediating effect of supply chain risk management integration (RMI) on the relationship between supply chain logistics performance (LP) and supply chain cost performance (CP), as well as on the relationship between LP and supply chain service performance (SP). The impact of CP and SP on overall firm performance (FP) is also explored. ISO 9001-certified firms and non-certified firms are assessed to determine whether superior risk-based thinking, as required in the latest ISO 9001 standard, has a positive impact on the different relationships. Design/methodology/approach A theoretical model is developed and tested based on the participation of 140 supply chain managers. The proposed structural equation model positively relates LP, RMI, CP and SP. RMI is positively linked to CP and SP, while CP and SP are positively related to overall FP. Two subsamples (a group of 63 ISO 9001-certified firms and a group of 77 non-certified firms) are used to evaluate the model. Findings For certified and non-certified firms, LP is positively related to RMI, CP and SP, and SP and CP are positively related to FP. However, for certified firms, RMI partially mediates the relationship of LP with both CP and SP, while for non-certified firms, RMI does not mediate these relationships. The findings suggest that ISO 9001-certified firms are able to leverage RMI efforts to impact positively on supply chain performance, whereas non-certified firms are not. Research limitations/implications The study findings are based on the perceptions of managers. Even though the majority of the 63 certified firms included in this study were ISO 9001:2015 certified, the model results do not differentiate between companies certified to the 2008 version of the standard and the 2015 version (which specifically requires demonstration of risk-based thinking). Practical implications This study suggests that ISO 9001 provides a framework for risk management processes and collaboration with supply chain partners to positively impact the relationship of LP with cost and SP. Originality/value This is one of the first studies to characterize the benefits of using a structured approach for risk-based thinking that is associated with ISO 9001.

Developing a reverse logistics competency

2016 ◽  
Vol 46 (3) ◽  
pp. 293-315 ◽  
Author(s):  
Tyler R. Morgan ◽  
Robert Glenn Richey Jr ◽  
Chad W. Autry
Keyword(s):  
Supply Chain ◽  
Reverse Logistics ◽  
Structural Equation ◽  
Equation Modeling ◽  
Resource Based View ◽  
Content Type ◽  
Supply Chain Relationships ◽  
Research Questions ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to explore the influence of collaboration and information technology (IT) on the reverse logistics competency of firms. Through collaboration firms can improve their ability to handle returns, but this research introduces IT as providing a moderating influence over the impact of collaboration in the advancement of a reverse logistics competency. Design/methodology/approach – A survey was administered to employees involved with supply chain relationships. Empirical evidence from 267 respondents is analyzed with structural equation modeling. Findings – Support is found for the positive moderating influence of an IT competency on the relationship between collaboration and a reverse logistics competency. Additional benefits for logistics performance are also realized. Research limitations/implications – This research provides theoretical implications for the development of a reverse logistics competency through an application of resource-based theory/resource-based view of the firm. The study is limited to the selected research questions and sample of predominantly US firms. Practical implications – This research assists managers as they attempt to develop a reverse logistics competency to address the growing problem of returns through collaboration with supply chain members and the development of an IT competency. Originality/value – The framework developed in this research provides insights regarding the handling of product returns. Specifically, the moderating influence of an IT competency is addressed as it enhances the impact of collaboration on the development of a reverse logistics competency.

Business process innovation on quality and supply chains

2018 ◽  
Vol 24 (3) ◽  
pp. 635-651 ◽  
Author(s):  
Dara G. Schniederjans
Keyword(s):  
Supply Chain ◽  
Quality Management ◽  
Business Process ◽  
Process Innovation ◽  
Supply Chain Performance ◽  
Content Type ◽  
The Impact ◽  
The Relationship ◽  
Moderating Role

Purpose The purpose of this paper is to assess the role of business process innovation on the relationship between social quality management (SQM) and supply chain performance. To address this issue, this paper distinguishes SQM from soft quality management. This paper further refines the impact of two levels of business process innovation (radical vs incremental) on this relationship. Design/methodology/approach Data were collected through a survey of manufacturing firms throughout the USA. Hierarchical moderated regression analyses were performed in order to examine the hypotheses. Findings This study confirmed the positive association between SQM and supply chain performance. While the results confirm a positive moderating relationship with incremental business process innovation between SQM and supply chain performance, radical process innovation was found to have a negative moderating role on this relationship. Originality/value This paper distinguishes SQM from soft quality management thus making it easier to determine which aspects of soft quality management enhance supply chain performance. This study also provides evidence of the differing ways in which business process innovation moderates the relationship between SQM and supply chain performance specifically identifying the positive and negative moderating role of incremental and radical business process innovations.

scholarly journals The impact of innovativeness on supply chain performance: is supply chain integration a missing link?

2014 ◽  
Vol 19 (5/6) ◽  
pp. 733-746 ◽  
Author(s):  
Young-Joon Seo ◽  
John Dinwoodie ◽  
Dong-Wook Kwak
Keyword(s):  
Supply Chain ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Supply Chain Integration ◽  
Supply Chain Performance ◽  
Content Type ◽  
Mediating Role ◽  
Equation Modelling ◽  
The Impact

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.

scholarly journals An examination of the effect of supply chain disruption risk drivers on organizational performance: evidence from Chinese supply chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahour Mellat Parast ◽  
Nachiappan Subramanian
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Supply Chain Performance ◽  
Supply Chain Disruption ◽  
Content Type ◽  
Disruption Risk ◽  
Relationship Of ◽  
The Impact ◽  
Disruption Risks ◽  
The Relationship

Purpose This paper aims to examine the relationship of supply chain disruption risk drivers to supply chain performance and firm performance outcomes. Design/methodology/approach Four disruption risk drivers for a supply chain are identified, namely, demand disruption risk, supply disruption risk, process disruption risk and environment disruption risk. A cross-sectional survey was developed and data was collected from 315 Chinese firms to determine the relationship of supply chain disruption risks to supply chain performance and firm performance. Findings The empirical findings show that supply disruption risks and process disruption risks have a significant impact on supply chain performance. In addition, this paper shows that supply disruptions, demand disruptions and process disruptions are significantly related to firm performance. This paper shows that supply chain disruption risks have different effects on supply chain performance and firm performance. Managers should be aware that disruption risk drivers can have an impact on firm performance that is different from their impact on supply chain performance. An important finding of the study is that the magnitude of the impact of disruption risks on supply chain performance is greater on the upstream side of the supply chain than on the downstream side of the supply chain. Originality/value This is one of the early studies to examine the effect of supply chain disruption risk drivers on both firm performance and supply chain performance. An important finding of the study is that the magnitude of the impact of disruption risks on supply chain performance is greater on the upstream side of the supply chain than on the downstream side of the supply chain.

The impact of applying knowledge in the technological pillars of Industry 4.0 on supply chain performance

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anurak Sawangwong ◽  
Poti Chaopaisarn
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Organizational Performance ◽  
Cyber Security ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
The Impact

PurposeThe purpose of the study is to investigate the impact of technological pillars of Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and medium-sized enterprises (SMEs) 4.0. In addition, to increase knowledge and understanding of how to apply knowledge in technology 4.0 to improve the efficiency of supply chains and organizations.Design/methodology/approachAn integrated model was developed from applying knowledge in five technological pillars of Industry 4.0 such as Internet of things (IoTs), cloud computing, big data and analytics, additive manufacturing and cyber-security. The bibliometric analysis was used to find the relationship between the technological pillars of Industry 4.0 and the literature review. The survey questionnaires were sent to Thai SME 4.0 (manufacturing aspect). Of these, 240 useable responses were received, resulting in a response rate of 65.84%, after then, the exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and validity were used to evaluate the model through IBM SPSS 21 and AMOS 22.FindingsEFA showed the four groups of the technological pillars of Industry 4.0, such as support human, automation, real-time and security. These groups positively impact supply chain performance (increase delivery reliability, increase resource efficiency, decrease costs in the supply chain and reduce delivery time). Another important finding is that supply chain performance positively impacts organizational performance in profitability, return on investment (ROI) and sale growth.Originality/valueThis study is a model development to support the supply chain performance and increase understanding related to applying knowledge in technology 4.0 that remains unclear for SME 4.0.

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.

Investigating the impact of knowledge flow enablers on SC performance in Indian manufacturing organizations

2018 ◽  
Vol 25 (2) ◽  
pp. 426-449 ◽  
Author(s):  
Vishal Ashok Bhosale ◽  
Ravi Kant ◽  
Ravi Shankar
Keyword(s):  
Supply Chain ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Knowledge Flow ◽  
Equation Modeling ◽  
Content Type ◽  
Manufacturing Organizations ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to test the relationship between supply chain knowledge flow enablers (SCKFEs), knowledge flow performance and supply chain (SC) performance (operational performance, customer satisfaction, and financial performance) for Indian manufacturing organizations. Design/methodology/approach A structured survey was used to collect the necessary data within the Indian manufacturing industry. Construct validity was conducted using convergent validity, reliability, and discriminant validity. Structural equation modeling was used to test the model. Findings The results of the study are tested based on data from 269 respondents from an Indian manufacturing organizations show positive influence: from SCKFEs to knowledge flow performance; knowledge flow performance to SC performance. In essence, the research reveals that the awareness to implement SCKFEs will increase the knowledge flow performance and SC performance. Practical implications The findings of this study are beneficial for decision-making authorities in the organization to know the importance of SCKFEs and their influence on knowledge flow performance and SC performance. Originality/value This is the unique study, which provides the theoretical framework which shows the relationship among SCKFEs, knowledge flow performance and SC performance and validates the framework with the help of an empirical study with Indian organizations.

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