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.

Exploring the consequences of judgmental and quantitative forecasting on firms' competitive performance in supply chains

2020 ◽  
Vol 27 (5) ◽  
pp. 1717-1737
Author(s):  
Reza Salehzadeh ◽  
Reihaneh Alsadat Tabaeeian ◽  
Farahnaz Esteki
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Structural Equation ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Competitive Performance ◽  
Content Type ◽  
Forecasting Methods

PurposeThe purpose of this study is to examine the impacts of different forecasting methods (judgmental, quantitative and mixed forecasting) on firms' supply chains and competitive performance.Design/methodology/approachWorking with three groups of manufacturing companies, we explore the consequences of judgmental, quantitative and mixed forecasting methods on firms' competitive performance in supply chains. The validity of constructs and path relationships was examined using structural equation modeling (SEM).FindingsOur findings indicate that supply chain efficiency influences both cost reduction and customer satisfaction. In addition, the three dimensions of supply chain performance are shown to be direct antecedents of competitive performance. Our empirical results reveal that although all studied forecasting methods meaningfully influence supply chain performance, the mixed method, compared to the other two methods, has greater capabilities to enhance supply chain performance.Originality/valueThis research provides originality and insight into supply chain practices through forecasting methods to improve competitive performance.

The influence of dynamic capabilities on hospital-supplier collaboration and hospital supply chain performance

2017 ◽  
Vol 37 (5) ◽  
pp. 664-684 ◽  
Author(s):  
Santanu Mandal
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Positive Impact ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
Technology Orientation ◽  
Supplier Collaboration

Purpose The purpose of this paper is to explore the influence of hospital’s visibility for sensing (VFS), learning, coordinating and integrating on hospital-supplier collaboration. Second, it explored the influence of hospital-supplier collaboration on hospital supply chain performance. The author also explored how the technology orientation of the medical chain units influences the above linkages. Design/methodology/approach The study adopted a multi-unit study of different hospital supply chains. Consequently, perceptual data were gathered from seven dominant entities in a typical medical/hospital supply chain: hospitals and clinics, accommodation (i.e. hotels), chemistry and pharmaceutical, marketing/public relations/promotion, medical equipment manufacturers, food and beverage and insurance. The responses were gathered using e-mail survey and were analyzed using structural equation modeling. Findings Based on 192 completed responses, the author found positive influences of VFS, learning and integrating on hospital-supplier collaboration and a positive impact of hospital-supplier collaboration on hospital supply chain performance. An insignificant influence of hospital’s visibility for coordinating was noted on hospital-supplier collaboration. The study argued hospitals to invest more for enriching their dynamic capabilities to diagnose the changes in the environment so as to sustain their collaborative relationships leading to positive performance implications. Originality/value The study is the foremost to investigate the effects of hospital’s dynamic capabilities on its collaborative efforts with its key supplier and their influence on hospital supply chain performance. Also the study is foremost in exploring the importance of technology orientation on hospital dynamic capabilities and hospital-supplier collaboration. An important contribution of the research is the conceptualization of supply chain visibility core components (visibility of sensing, visibility of learning, visibility of coordinating and visibility of integrating) in the context of hospital supply chains.

The effect of supplier development initiatives on purchasing performance: a structural model

2005 ◽  
Vol 10 (4) ◽  
pp. 289-301 ◽  
Author(s):  
Cristóbal Sánchez‐Rodríguez ◽  
David Hemsworth ◽  
Ángel R. Martínez‐Lorente
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Structural Model ◽  
Essential Element ◽  
Equation Modeling ◽  
Supplier Development ◽  
Manufacturing Companies ◽  
Content Type ◽  
Different Levels

PurposeSupply chain management is an increasingly important organizational concern, and proper management of supplier relationships constitutes one essential element of supply chain success. However, there is little empirical research that has tested the effect of supplier development on performance. The main objective is to analyze the effect of supplier development practices with different levels of implementation complexity on the firm's purchasing performance.Design/methodology/approachThree supplier development constructs were defined: basic supplier development, moderate supplier development, and advanced supplier development. Three structural models were hypothesized and tested using structural equation modeling through field research on a sample of 306 manufacturing companies in Spain.FindingsIdentified important interrelationships among the various supplier development practices, basic, moderate, and advanced. Also indicated that the implementation of supplier development practices significantly contributes to the prediction of purchasing performance.Research limitations/implicationsThe use of a single key informant could be seen as a potential limitation of the study. The study was a cross‐sectional and descriptive sample of the manufacturing industry at a given point in time. A more stringent test of the relationships between the different levels of supplier development and performance requires a longitudinal study, or field experiment.Practical implicationsThis study focused on supplier development practices and revealed how involving suppliers in supplier development activities is important and may help buyers to increase their purchasing performance. The findings from the structural analysis should provide practicing managers with insights on how these practices and their benefits are related in terms of purchasing performance, thus affecting their ability to make better sourcing decisions.Originality/valueFills an important gap in the purchasing literature with respect to the area of supplier development. While there is much written about supplier development based on conceptual and case study research, this study is unique in that it is the first attempt to empirically model the relationships between different levels of supplier development and their impact on purchasing performance using a comprehensive set of practices.

Complementarity effect of supply chain competencies on innovation capability

2019 ◽  
Vol 25 (6) ◽  
pp. 1251-1272 ◽  
Author(s):  
Ying Liao ◽  
Yulong Li
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supply Network ◽  
Innovation Capability ◽  
Exploration And Exploitation ◽  
Complementarity Effect ◽  
Content Type ◽  
Essential Components ◽  
Network Flexibility

Purpose From the perspective of the economic theory of complementarity, the purpose of this paper is to examine how internal collaboration and external competencies would provoke and strengthen each other, and subsequently enhance organizational innovation capability. Design/methodology/approach The survey data were collected from 201 manufacturing firms and checked for common method variance, validity and reliability. Structural equation modeling was then used to test the hypothetical complementarity effect. Findings The results suggest that internal collaboration (as a manifestation of exploitative learning) and external competencies, which include supply network flexibility and supplier operational capabilities (as manifestation of exploratory learning), do in fact compensate for each other’s deficiencies. Complementary deployment of internal collaboration and external competencies enhances each other’s contribution to innovation capability. Practically, the study indicates that organizations should consider making concerted efforts to develop internal collaboration, supply network flexibility and supplier operational capability as a bundle. Originality/value Extensive discussions exist in the literature on exploration and exploitation being essential components of innovation and their conflicting impact on innovation efficiency and effectiveness. But how an organization should operationally develop supply chain competencies in order to maximize overall innovation capability still remains largely an unanswered question. The current study advances the research on the inter-relationships between exploration and exploitation by empirically demonstrating the complementary nature of internal collaboration and external competencies in developing sustainable innovation capabilities.

Effect of supply chain technology internalization and e-procurement on supply chain performance

2019 ◽  
Vol 26 (6) ◽  
pp. 1425-1442
Author(s):  
Durgesh Pattanayak ◽  
Plavini Punyatoya
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Project Managers ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Effective Utilization ◽  
Content Type ◽  
Supply Chain Efficiency ◽  
Proposed Model ◽  
Survey Responses

Purpose The purpose of this paper is to examine how e-procurement (EP) and supply chain technology internalization (SCTI) influence supply chain performance (SCP) through supply chain integration (SCI). Design/methodology/approach This research analyzed 214 survey responses from project managers who have prior experience in the field of supply chain management. Structural equation modeling was used to analyze the data. Findings The results show that EP and SCTI positively influence SCI and SCP. The effects of EP and SCTI on SCP are found to be mediated by SCI in the context for the construction industry. Research limitations/implications Future studies should focus on quantitative measures of SCP like budget overrun, supply chain efficiency and project success. Further research can be done through the exploration of moderating interactions of the proposed model. Practical implications First, the study highlights the importance of SCTI. Supply chain managers should first focus on effective utilization of different technologies used to support supply chain. Second, the research gives the guidelines to the supply chain managers and project managers about the benefits of EP. They should focus on proper implementation of EP in their organizations. Originality/value This paper contributes to the literature by proposing and testing the influences of EP and SCTI on SCI. This allows a strategic viewpoint when implementing SCTI, EP systems and SCI, intended to improve SCP.

Information sharing, coordination and supply chain performance

2019 ◽  
Vol 119 (5) ◽  
pp. 1046-1071 ◽  
Author(s):  
Siyu Li ◽  
Xiling Cui ◽  
Baofeng Huo ◽  
Xiande Zhao
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Structural Equation ◽  
Demand Uncertainty ◽  
Mainland China ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
Processing Theory ◽  
Strategic Coordination

PurposeThe purpose of this paper is to explore the effects that customer structured and unstructured information sharing (IS) can have on customer operational and strategic coordination and on supply chain performance (SCP). In addition, the study examines how customer IS influences customer coordination under various levels of demand uncertainty (DU).Design/methodology/approachThe conceptual model for this study is designed on the basis of information-processing theory (IPT). Using data collected from 622 manufacturers in mainland China and Taiwan, the theoretical model is tested using the structural equation modeling method.FindingsThe authors find that both customer structured IS and unstructured IS are positively associated with customer strategic coordination. Customer structured IS increases customer operational coordination, but customer unstructured IS does not. DU positively moderates the relations between customer unstructured IS and strategic coordination, and between customer structured IS and operational coordination. Also, DU negatively moderates the relationship between customer structured IS and strategic coordination. Customer strategic coordination is positively related to SCP and to operational coordination. Customer operational coordination has no significant impact on SCP.Originality/valueThis study deepens our understanding of customer IS by distinguishing between customer structured and unstructured IS. The study also provides a greater understanding of customer coordination by making a distinction between the customer strategic and the operational coordination. The findings extend the empirical application of IPT. In addition, this study’s findings direct SC managers to apply varied customer IS practices that can enhance specific kinds of customer coordination activities, thereby enabling improved SCP.

Dynamic capabilities of logistics service providers: antecedents and performance implications

2019 ◽  
Vol 31 (4) ◽  
pp. 1058-1075 ◽  
Author(s):  
Ivy S.N. Chen ◽  
Patrick K.O. Fung ◽  
Simon S.M. Yuen
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Service Providers ◽  
Equation Modeling ◽  
Service Firms ◽  
Content Type ◽  
Logistics Service ◽  
The Relationship

Purpose Dynamic capabilities (DC) have been linked to firm competitive advantage, but the ways in which firms can create and build these DC are still not clear. The purpose of this paper is to propose a model with organizational learning (OL) and supply chain orientation (SCO) as antecedents of dynamic logistics capabilities and firm performance as the outcome. The study tests this model on a sample of logistics service firms. Design/methodology/approach Partial least squares structural equation modeling was used to analyze the data collected from 103 logistics firms drawn from the Chartered Institute of Logistics and Transportation of Hong Kong. Findings Results show that OL directly enhances DC and indirectly through SCO. The relationship between OL and SCO is stronger than the relationship between OL and DC. DC are positively related to logistics firm performance. Research limitations/implications The study relied on perceptual and self-reported data from senior management. Relationships among variables may also be inflated by common method variance but efforts were taken to reduce this threat. Practical implications Logistics firms should promote a learning culture in the organization. Organization learning enhances a firm’s willingness to change and innovate. It also helps employees to gain a better understanding of clients’ supply chains and possibilities. SCO helps the firm to direct its reconfiguration and renewal efforts where the returns are the highest. Originality/value There is scant empirical research on the antecedents of DC outside of manufacturing and knowledge-intensive services. The study focused on the logistics services industry. SCO, a necessary strategic orientation for firms in the supply chain, has not been empirically investigated in the previous research. This study addressed these gaps in the literature and contributes to the understanding of the factors giving rise to DC.

Antecedents of kaizen culture and its effect on operational performance: perspective of manufacturing companies in Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kong Siew Mui ◽  
Rajendran Muthuveloo ◽  
Josephine Ie Lyn Chan
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Online Survey ◽  
Dynamic Capabilities ◽  
Organizational Innovation ◽  
Operational Performance ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Content Type ◽  
Electronic Manufacturing

PurposeThe purpose of this research is to examine the effect of kaizen culture on innovation and operational performance of electrical and electronic manufacturing companies in Malaysia. A research framework, with underpinning theories of dynamic capabilities and socio-technical systems, was conceptualized to investigate the interplay of these relationships.Design/methodology/approachData were collected from 123 manufacturing companies using an online survey and analyzed with IBM SPSS Statistics version 24.0 and the partial least squares structural equation modeling (PLS-SEM) (SmartPLS) version 3.2.8.FindingsUltimately, the findings proved that kaizen culture is crucial for organizations to optimize their operational performance and can be nurtured through the implementation of process innovation and organizational innovation.Originality/valueUnlike past studies, this research examines the concepts of innovation, kaizen culture and operational performance in a single study; thus, provides further opportunities for new discoveries through such relationships. Also, the novelty is identifying that kaizen culture can be nurtured via innovation.

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.

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