Benchmarking supplier external risk factors in electronic equipment industry supply chains

Lockamy, Archie

doi:10.1108/bij-01-2018-0004

Cited by 12 publications

(10 citation statements)

References 72 publications

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“…Several recent works have adopted the BN approach for SCR analysis, including Yuan et al (2012), Lockamy (2014Lockamy ( , 2019, Badurdeen et al (2014), Sharma and Sharma (2015), Garvey et al (2015), Sharma and Routroy (2016), Qazi et al (2017) and Cao et al (2019). Commonly, the BN structure is developed by either knowledge elicitation of experts or learning of dataset.…”

Section: Bayesian Network Approach For Modelling Uncertain and Interd...mentioning

confidence: 99%

Modelling supply chain risks and their impacts on the performance of the sago starch agro-industry

Anwar

Djatna

Sukardi

et al. 2021

IJPPM

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PurposeSupply chain risks (SCRs) have uncertainty and interdependency characteristics that must be incorporated into the risk assessment stage of the SCR management framework. This study aims to develop SCR networks and determine the major risk drivers that impact the performance of the sago starch agro-industry (SSA).Design/methodology/approachThe risk and performance variables were collected from the relevant literature and expert consultations. The Bayesian network (BN) approach was used to model the uncertain and interdependent SCRs. A hybrid method was used to develop the BN structure through the expert’s knowledge acquisitions and the learning algorithm application. Sensitivity analyses were performed to examine the significant risk driver and their related paths.FindingsThe analyses of model indicated several significant risk drivers that could affect the performance of the SSA. These SCR including both operational and disruption risks across sourcing, processing and delivery stage.Research limitations/implicationsThe implementation of the methodology was only applied to the Indonesian small-medium size sago starch agro-industry. The generalization of findings is limited to industry characteristics. The modelled system is restricted to inbound, processing and outbound logistics with the risk perspective from the industry point of view.Practical implicationsThe results of this study assist the related actors of the sago starch agro-industry in recognizing the major risk drivers and their related paths in impacting the performance measures.Originality/valueThis study proposes the use of a hybrid method in developing SCR networks. This study found the significant risk drivers that impact the performance of the sago starch agro-industry.

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Section: Bayesian Network Approach For Modelling Uncertain and Interd...mentioning

confidence: 99%

Modelling supply chain risks and their impacts on the performance of the sago starch agro-industry

Anwar

Djatna

Sukardi

et al. 2021

IJPPM

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“…In the first decade of the 21st century, innovativeness was associated with the ability of a company to be open to new ideas and work on new solutions (Crawford & Di Benedetto, 2003), referring to a reputation for innovation as a permanent characteristic and not an episodic success (Im & Workman, 2004). In the meantime, the global electronic equipment industry has evolved into one of the most innovative technology‐based business sectors, and much of its success has been attributed to effective supply chain management (Lockamy, 2019). According to Mackelprang et al (2014) and Sancha et al (2015), the coordination and integration of activities across the supply chain can improve firm performance, innovation capacity and lead to a sustainable competitive advantage for its membership.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Some authors (Autant‐Bernard et al, 2010; Crawford & Di Benedetto, 2003; Im & Workman, 2004; Tang et al, 2013) discussed the components of organizational learning and its influence on a firm's innovativeness. Others discussed the tools to measure it (Ruvio et al, 2014; Sancha et al, 2015), and the benefits of knowledge exchange between companies (Bryan Jean et al, 2017; Lockamy, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Relationship between innovativeness and competitiveness in networked organizations: A perspective from the electric and electronic industry in Brazil

Dos‐Santos

2021

Creat Innov Manage

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The construction of innovative environments has been understood as one of the basic conditions for sustaining and expanding the competitive capacity of organizations. This work proposes to fill gaps in the studies about innovativeness effects on competitiveness in emerging countries specifically from the electric and electronic industry perspective. The innovativeness was analysed from three first‐order constructs: organizational learning, predisposition for innovation and innovation diffusivity. Competitiveness was studied by performance. The cross‐section data were collected through a survey with 102 executives from the supply network of the Brazilian electrical and electronic industry and were analysed using descriptive statistics and partial least squares structural equation modelling (PLS‐SEM) techniques. The results indicate that there is a significant positive relationship between innovativeness and competitiveness, highlighting the robustness of two factors (predisposition for innovation and innovation diffusivity), and the three first‐order constructs are significant predictors of competitiveness. The theoretical and managerial implications recommend knowledge‐sharing practices, technical qualification and management incentive to people's innovative attitude as a basis for building innovative environments and expanding competitiveness.

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“…However, the general classification of the electronics industry consists of manufacturers of electronic equipment, components, instruments, etc. for original equipment manufacturers (OEM) or equipment manufacturers, the end products developed from OEM find its application in analytical, electronic testing and measurement instruments, electronic components, connection devices, telecommunication devices, hardware devices and other miscellaneous types of equipment (Lockamy, 2019). The electronics industry is primarily concerned with the interlinking of technologies to obtain the desired product for its end users (Dedrick and Kraemer, 2008).…”

Section: Importance Of Risk In Escmentioning

confidence: 99%

An integrated framework for the assessment of inbound supply risk and prioritization of the risk drivers

Ramesh

Sarmah

Tarei

2019

BIJ

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Purpose The purpose of this paper is to present a framework for identifying various inbound supply-risk factors and analyzing its indicators considering the contextual relationship between them. This study additionally proposes a framework for developing an overall inbound supply-risk score considering a real-life case of the electronics supply chain (ESC) in the Indian context. Design/methodology/approach In total, 32 risk indicators are identified by a systematic literature review approach and are validated by supply chain practitioners/experts and further categorized into six main risk factors. A hybrid multi-criteria decision-making-based DANP (DEMATEL and ANP) framework is employed to develop the overall inbound-supply-risk score (ISRS) and to prioritize the risk indicators. Indian ESC is chosen as a viable case study to demonstrate the effectiveness of the proposed framework. Findings The outcomes from the study reveal that the overall ISRS in the ESC is 36 percent and additionally forewarns critical inbound-supply-risk factors such as supplier performance, product, and buyer organization. Further, the study also identifies the most significant risk indicators such as price margin, investment, on-time delivery, order fulfillment and design changes for ESC. Research limitations/implications Supply chain practitioners can adopt this framework as a useful inbound supply-risk assessment tool. Moreover, the hybrid framework will address subjectivity and interrelations among various factors through experts’ judgments. The results will assist the managers to have better insights on the critical risk factors and their complicated interrelationships and further strategize action plans to nullify the impact of incoming risks. This study mainly focused on risk identification and assessment of electronics inbound-supply-risk indicators in the Indian context. The framework can be used for other manufacturing and service industries, albeit the results derived are in the context of a developing country. Originality/value This paper provides an effective risk assessment framework for the supply chain practitioners/managers to develop a decision-support system for inbound-supply-risk quantification and prioritization of risk factors in the context of the ESC.

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Benchmarking supplier external risk factors in electronic equipment industry supply chains

Cited by 12 publications

References 72 publications

Modelling supply chain risks and their impacts on the performance of the sago starch agro-industry

Modelling supply chain risks and their impacts on the performance of the sago starch agro-industry

Relationship between innovativeness and competitiveness in networked organizations: A perspective from the electric and electronic industry in Brazil

An integrated framework for the assessment of inbound supply risk and prioritization of the risk drivers

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