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.

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.

Business intelligence competence, agile capabilities, and agile performance in supply chain

2015 ◽  
Vol 26 (2) ◽  
pp. 356-380 ◽  
Author(s):  
Mohamad Sadegh Sangari ◽  
Jafar Razmi
Keyword(s):  
Supply Chain ◽  
Business Intelligence ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Equation Modeling ◽  
Content Type ◽  
Supply Chain Agility ◽  
And Performance ◽  
The Relationship

Purpose – The purpose of this paper is to study the role of business intelligence (BI) in achieving agility in supply chain context by examining the relationship between BI competence, agile capabilities, and agile performance of the supply chain. Design/methodology/approach – A theoretical framework is developed drawing on the resource-based view, the dynamic capabilities perspective, and the competence-capability relationship paradigm, as well as an extensive review of the literature. Structural equation modeling is employed to analyze the data collected from Iranian manufacturers in the automotive industry. Findings – The empirical results support the conceptualization of supply chain BI competence as a multi-dimensional construct comprising managerial, technical, and cultural competence, and confirm that it is a key enabler of supply chain agility in terms of both agile capabilities and agile performance. The results also provide support for partial mediation of agile capabilities on the relationship between BI competence and agile performance of the supply chain. Originality/value – This paper provides a response to the identified need for empirical evidence on the benefits derived from BI, especially in the supply chain context. It also contributes to the existing supply chain agility literature by providing insight into the value and role of BI in enhancing agile capabilities and performance in the inter-organizational supply chain.

Effects of supply chain agility on profitability

2017 ◽  
Vol 23 (5) ◽  
pp. 1064-1082 ◽  
Author(s):  
Reza Abdoli Bidhandi ◽  
Changiz Valmohammadi
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Structural Equation ◽  
Evaluation Criteria ◽  
Equation Modeling ◽  
Content Type ◽  
Minimal Impact ◽  
Factors Affecting ◽  
Supply Chain Agility ◽  
The Impact

Purpose The purpose of this paper is to identify factors affecting agile supply chain and evaluate the effect of these factors on profitability. To that end, after reviewing the theoretical foundations of this field, the authors identified the factors affecting supply chain agility and profitability and provided an appropriate conceptual model to measure and verify this relationship. Design/methodology/approach A 48-item questionnaire was prepared and distributed among 270 members of staff and managers of the company from which 240 questionnaire were completed and returned. The response rate was 88 percent. Using exploratory factor analysis (EFA), 37 indicators were selected and redundant questions were excluded. Results were analyzed using the structural equation modeling technique, and the relationships between factors were obtained and the impact of each supply chain agility factor on profitability was determined and prioritized. Findings Through EFA, the indicators related to each supply chain agility factor and profitability were extracted and using the literature, supply chain agility indicators were classified in four factors of speed, responsiveness, competency and flexibility and the indicators related to profitability in one factor, and confirmatory factor analysis (CFA) was conducted accordingly. The CFA results showed that all four factors are significantly associated with profitability, and flexibility has the greatest impact on profitability, and speed has minimal impact on profitability. Research limitations/implications As this study has been done in the context of Iran, cautious should be taken to generalize the results. Originality/value Other studies have examined the effect of agility on business performance and the relationship between them but this study, by providing a comprehensive set of supply chain agility evaluation criteria and indicators and considering all its dimensions, intends to identify the factors affecting supply chain agility and evaluate and determine the effects of these factors on profitability and examine if supply chain agility affects profitability.

Rural women entrepreneurs in Oman: problems and opportunities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Suhail M. Ghouse ◽  
Omar Durrah ◽  
Gerard McElwee
Keyword(s):  
Rural Women ◽  
Women Entrepreneurs ◽  
Structural Equation ◽  
Equation Modeling ◽  
Research Approach ◽  
Content Type ◽  
Business Opportunities ◽  
Survey Responses ◽  
The Impact ◽  
Traditional Roles

PurposeThis paper examines the challenges associated with rural women entrepreneurs in Oman. The study is based on women living in rural and highland areas who aim to move beyond their traditional roles in the family seeking avenues for growth and development. It identifies several problems encountered by rural women entrepreneurs and the impact on their future business opportunities.Design/methodology/approachA mixed research approach involving quantitative and qualitative elements was adopted for the study. The research is based on 183 survey responses and personal interviews with 8 rural women entrepreneurs. Partial least squares structural equation modeling (PLS-SEM) was adopted to analyse the quantitative responses and depict a model featuring the intensity of the problems affecting business opportunities. Seven short cases based upon the interviews with rural women entrepreneurs are also detailed.FindingsSeveral problems experienced by rural women entrepreneurs were identified hampering their business ventures, linked to personality, family, educational, socio-cultural, facilities, legal, financial and economic, organizational and geographical, out of which household, organizational and geographical linked problems were most significant. Entrepreneurial opportunities for rural women entrepreneurs are discussed.Practical implicationsThe research suggests that the policymakers should holistically consider how the rural women engaged in informal business for various means can be better supported and sustained by overcoming associated problems, can achieve business opportunities and contribute to regional socio-economic development.Originality/valueThere is a limited literature available on rural women entrepreneurship in an Arab context. The study provides an overview of the challenges and problems experienced by these women and the support areas required to overcome them for their sustainability in this region.

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.

scholarly journals Impact of big data and predictive analytics capability on supply chain sustainability

2018 ◽  
Vol 29 (2) ◽  
pp. 513-538 ◽  
Author(s):  
Shirish Jeble ◽  
Rameshwar Dubey ◽  
Stephen J. Childe ◽  
Thanos Papadopoulos ◽  
David Roubaud ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Theoretical Model ◽  
Performance Measures ◽  
Structural Equation ◽  
Predictive Analytics ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.Design/methodology/approachThe authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.FindingsThe statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support forH4. Although the authors did not find support forH4(moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.Originality/valueThis study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

Analyzing the post-harvest supply chain enablers of vertical integration for rural employability and marketability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Priyadarshi ◽  
Srikanta Routroy ◽  
Girish Kant
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Vertical Integration ◽  
Rural Areas ◽  
Structural Equation ◽  
Equation Modeling ◽  
Value Addition ◽  
Content Type ◽  
Post Harvest ◽  
The Impact

Purpose The purpose of this study is to analyze the post-harvest supply chain enablers (PHSCEs) for vertical integration to enhance rural employability, farmer profitability and rural produce marketability (i.e. market prospects) in the post-harvest supply chain (PHSC). The impact of vertical integration is also explored for various commercial produces. Design/methodology/approach A structural equation modeling (SEM) of PHSCEs for vertical integration was developed to enhance market prospects, rural employability and farmer profitability. The impact of business-to-business (B2B) and business-to-customer market prospects are explored in various dimensions for stakeholders such as farmers, manufacturers (processors), distributors and retailers. The fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS) was used to prioritize these PHSCEs to improve market prospects and rural employability. Findings The PHSCEs are clustered into three groups, namely, initiatives at the strategic frontier, initiatives at the tactical frontier and concerns for rural employability via vertical integration using exploratory factor analysis, confirmatory factor analysis and SEM to prove the null hypothesis. With F-TOPSIS results, the availability of warehousing was found to be the most crucial enabler when observing the PHSCEs from the initiatives’ perspective. The technology adaptability and availability, institute for training and research and information infrastructure and information visibility were found to be the key PHSCEs when observed from PHSC stakeholders’ perspectives. Research limitations/implications The implementation of this study will improve the rural produce marketability, rural employability, B2B marketing (i.e. effective distribution) and subsequent value chains with the practice of vertical integration for fresh produce at the rural level. Practical implications The outcomes of this study have a key role in developing the rural regions and improving rural livelihoods via value addition. The awareness of commercial cultivation and value addition in rural areas needs to be improved. This will help farmers to earn better revenues with improved market prospects in comparison to the revenues obtained from the cultivation of staple/conventional crops. Originality/value In an era of cold chains and food processing, this study aims to disseminate awareness about value addition for commercial and fresh produces at the rural level. The implication of this study will improve rural produce marketability, rural employability and farmer profitability at the rural level with the level of vertical integration.

The impact of information security initiatives on supply chain robustness and performance: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sindhuja P.N.
Keyword(s):  
Supply Chain ◽  
Information Security ◽  
Supply Chains ◽  
Structural Equation ◽  
Essential Element ◽  
Equation Modeling ◽  
Content Type ◽  
And Performance ◽  
The Impact ◽  
Supply Chain Robustness

Purpose Information security is an essential element in all business activities. The damage to businesses from information security breaches has become pervasive. The scope of information security has widened as information has become a critical supply chain asset, making it more important to protect the organization’s data. Today’s global supply chains rely upon the speedy and robust dissemination of information among supply chain partners. Hence, processing of accurate supply chain information is quintessential to ensure the robustness and performance of supply chains. An effective information security management (ISM) is deemed to ensure the robustness of supply chains. The purpose of the paper is to examine the impact of information security initiatives on supply chain robustness and performance. Design/methodology/approach Based on extant literature, a research model was developed and validated using a questionnaire survey instrument administered among information systems/information technology managers. Data collected were analyzed using exploratory and confirmatory factor analysis. Further, to test the hypotheses and to fit the theoretical model, Structural equation modeling techniques were used. Findings Results of this study indicated that information security initiatives are positively associated with supply chain robustness and performance. These initiatives are likely to enhance the robustness and performance of the supply chains. Originality/value With the advancements in internet technologies and capabilities as well as considering the dynamic environment of supply chains, this study is relevant in terms of the capability that an organization needs to acquire with regards to ISM. Benefiting from the resource dependency theory, information security initiatives could be considered as a critical resource having an influence on the internal and external environment of supply chains.

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.

Enhancing supply chain performance through collaborative planning, forecasting, and replenishment

2019 ◽  
Vol 25 (4) ◽  
pp. 625-646 ◽  
Author(s):  
Hassan Barau Singhry ◽  
Azmawani Abd Rahman
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Collaborative Planning ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Innovation Capability ◽  
Manufacturing Companies ◽  
Content Type

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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