Data-driven food supply chain management and systems

Zhong, Ray Y.; Tan, Kim Hua; Gopalakrishnan, Bhaskaran

doi:10.1108/imds-06-2017-0269

Cited by 20 publications

(14 citation statements)

References 24 publications

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“…This poses a challenge to connect the community to the rest of public distribution system (Aryal et al , 2018; Stone and Rahimifard, 2018; Handayati et al , 2015). Information flow and management through modern technologies are important factors to make it meaningful to all the stakeholders (El Bilali and Allahyari, 2018; Zhong et al , 2017; Burch et al , 2013). A variety of information and skills are required to deal with a value chain like India's, which is highly complex and fragmented at different levels (Behnke and Janssen, 2019; Naik and Suresh, 2018; Shukla and Jharkharia, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

“…With (Kilubi, 2016) the help of real-time data, ICT can monitor the effectiveness of intervention strategies (Barnett et al , 2019; Thöni and Tjoa, 2017). Appropriate application and management of ICT in agri-food supply need to ensure quality, efficiency and safety (Tian et al , 2019; Zhong et al , 2017; Akhtar et al , 2016). Therefore, transparency in any supply chain helps to safeguard the business sustainability, customer trust and product desirability (Sarpong, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

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Exploring the relationship between ICT, SCM practices and organizational performance in agri-food supply chain

Kumar

Singh

Modgil

2020

BIJ

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PurposeThis paper presents the concerns in agri-food supply chain. Further the research investigates the role of information and communication technology (ICT) in agri-food supply chain and determines the impact of supply chain management (SCM) practices on firm performance.Design/methodology/approachThe theoretical framework was proposed for the study on the basis of existing literature. Data for the study was collected with the help of structured questionnaire from 121 executives and officers of the public food distribution agency. Partial least square (PLS)–structured equation modeling was employed to test the framework and hypotheses.FindingsThe results indicate that ICT and SCM practices (logistics integration and supplier relationships) have a significant relationship. Furthermore, SCM practices (information sharing, supplier relationship and logistics integration) have a significant and positive impact on performance of the organization.Research limitations/implicationsFurther research could be carried out to test the moderation effect of SCM practices between ICT and organizational performance (OP). Extending the research study to the companies operating in other sectors can enhance the external validity of the study and improve the accuracy of parameters examined.Practical implicationsThis study can be of interest to the agri-food industry as well as other industry practitioners interested in improving the performance of the organization from the view of supply chain.Originality/valueThe outcomes of this study have important implications that translate into a series of recommendations for the management of public food distribution as well as other agri-food-based supply chains.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Exploring the relationship between ICT, SCM practices and organizational performance in agri-food supply chain

Kumar

Singh

Modgil

2020

BIJ

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“…Thus, this research motivates the managers for facilities allocation in building up the IoT based information networking system for improving PM. Further based on improved SCV ( IoT based data driven SC), this research may guide the managers to select the appropriate PM attributes like responsiveness, SC reliability, asset management, flexibility and cost for measuring the performance of the different SC processes (Zhong et al, 2017).…”

Section: Managerial and Practitioners' Implicationsmentioning

confidence: 99%

“…In the last few years, there have increased advance technologies to support the SCV (Kamble et al, 2018). In this context, Internet of Things (IoT) provides timely based data in Agriculture Supply Chain (ASC) based on improved communicating and coordinating system for the Supply Chain (SC) (Zhong et al, 2017). The huge amount of information generated from IoT based SC may be understand by means of big data technology.…”

Section: Introductionmentioning

confidence: 99%

Development of IoT based data-driven agriculture supply chain performance measurement framework

Yadav

Garg

Luthra³

2020

JEIM

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PurposePerformance measurement (PM) of any supply chain is prerequisite for improving its competitiveness and sustainability. This paper develops a framework for supply chain performance measurement (SCPM) for agriculture supply chain (ASC) based on internet of things (IoT). Moreover, this article explains the role of IoT in data collection and communication (SC visibility) based on the supply chain operation reference (SCOR) model.Design/methodology/approachThis research identifies various key performance indicators (KPIs) and also their role in SCPM for improving its sustainability by using SCOR. Further, Shannon entropy is utilized for weighing the basic processes of SCPM and by using weights, fuzzy TOPSIS is applied for ranking of identified KPIs at metrics level 2 (deeper level).Findings“Flexibility” and “Responsiveness” have been reported as two most important KPIs in IoT based SCPM framework for ASC towards achieving sustainability.Research limitations/implicationsIn this research, metrics are explained only at SCOR level 2. But, this research will guide the managers and practitioners of various organizations to set their benchmark for comparing their performance at different levels of business processes. Further, this paper has managerial implications to develop an effective system for PM of IoT based data-driven ASC.Originality/valueBy using IoT based data driven system, this article fills the gap between SCPM by measuring different SC strategies in their performance measurable form of reliable, responsive and asset management etc.

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“…The above literature review shows that a series of studies have used DEA methods to assess the performance of the power industry. The research gaps of these studies can be summarized from the perspective of the following aspects: First, the technological development provides massive data volume for the supply chain system (Zhong et al , 2017a, 2017b). Analyzing the operation performance of the supply chain based on this massive data volume becomes particularly important.…”

Section: Literature Reviewmentioning

confidence: 99%

Does China's power supply chain systems perform well? A data-based path-index meta-frontier analysis

Sun

2020

IMDS

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PurposeTo improve the sustainable performance of the power supply chain system (PSCS), the Chinese government proposed a series of relevant policies and promoted the application of various technologies in the power industry. This study analyzes the sustainable performance and technology levels of PSCSs in various regions of China.Design/methodology/approachTo quantify the technological heterogeneity between PSCSs, this study incorporates a meta-frontier into the performance evaluation model. To increase the performance of inefficient PSCSs, this study also proposes a series of performance improvement path indexes.FindingsEmpirical analysis of China's provincial PSCSs, using data from 2014 to 2017, has yielded several key findings. First, the average performance of PSCSs of all provinces in China is 0.7192, indicating that PSCSs in China have great potential for improvement. Second, independent of power generation subsystem (PGS) or power retail subsystem (PRS), regional differences affect the technological heterogeneity of PSCSs in China. Third, for PGS, the technological level of PSCSs in the eastern region displays a high level, while the management level can still be greatly improved. Fourth, only the PSCS of Beijing is best in both PGS and PRS. The two subsystems of the PSCSs in the other provinces are either insufficiently managed or technologically inadequate.Originality/valueCompared with the traditional performance model, the model proposed in this study considers the technological heterogeneity between PSCSs. In addition, the path indexes proposed in this study clearly indicate an improvement direction and the specific improvement level for inefficient PSCSs.

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Data-driven food supply chain management and systems

Cited by 20 publications

References 24 publications

Exploring the relationship between ICT, SCM practices and organizational performance in agri-food supply chain

Exploring the relationship between ICT, SCM practices and organizational performance in agri-food supply chain

Development of IoT based data-driven agriculture supply chain performance measurement framework

Does China's power supply chain systems perform well? A data-based path-index meta-frontier analysis

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