Factors influencing organisational efficiency in a smart-logistics ecological chain under e-commerce platform leadership

Liu, Weihua; Zhang, Jiahui; Wei, Shuang; Wang, Di

doi:10.1080/13675567.2020.1758643

Cited by 51 publications

(31 citation statements)

References 63 publications

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“…Generally, logistics 4.0 refers to the combination of using logistics with the innovations and applications added by the cyber-physical system. However, so many related concepts and definitions of logistic 4.0 exist today including smart services and products [541], green logistics [542], smart logistics or intelligent logistics, and smart warehouses [543][544][545][546][547]. Furthermore, logistics 4.0 reflects logistics innovation [548], digitization in maritime logistics [549], digital supply chain [550,551], smart ships, smart containers (container 42), and autonomous vessels [130].…”

Section: Convergence Of Disruptive Technologies In Healthcarementioning

confidence: 99%

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

Bongomin

Yemane

Kembabazi

et al. 2020

Journal of Engineering

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Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly distinguish between what is artificial and what is natural (e.g., man-made virus and natural virus). Thus, the level of discombobulation among people, companies, or countries is indeed unprecedented. The fact that industry 4.0 is explosively disrupting or retrofitting each and every industrial sector makes industry 4.0 the famous buzzword amongst researchers today. However, the insight of industry 4.0 disruption into the industrial sectors remains ill-defined in both academic and nonacademic literature. The present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technology convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in the education industry (education 4.0), energy industry (energy 4.0), agriculture industry (agriculture 4.0), healthcare industry (healthcare 4.0), and logistics industry (logistics 4.0) was described. The convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated. The study divulged the need for extensive research to expand the application areas of the disruptive technologies in the industrial sectors.

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Section: Convergence Of Disruptive Technologies In Healthcarementioning

confidence: 99%

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

Bongomin

Yemane

Kembabazi

et al. 2020

Journal of Engineering

View full text Add to dashboard Cite

show abstract

“…Research shows that peer competition has significantly promoted the integration of organizations in the supply chain (Kim, 2006). On the one hand, competition will empower the supply ecological group by accelerating innovation of the ecological operator (Liu et al, 2020). For example, peer competition has increased the incentives of the ecological operator to further improve the efficiency of resource allocation, which is conducive to the supply ecological group to reduce costs and increase production (Liu et al, 2019).…”

Section: Factors Affecting Empowerment Capabilitymentioning

confidence: 99%

“…SLEC is a new supply chain structure composed of a supply ecological group, a logistics ecological operator and a demand ecological group. It is mainly supported by information-sharing technologies and credit mechanisms (Liu et al, 2020). Among them, multiple upstream logistics service providers are interconnected and differentiated to form a supply ecological group.…”

Section: Introductionmentioning

confidence: 99%

The organizational collaboration framework of smart logistics ecological chain: a multi-case study in China

Liu

Liang

Wei

et al. 2020

IMDS

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PurposeThis study explores the influencing factors of smart logistics ecological chain's (SLEC's) organizational collaboration and designs a corresponding conceptual framework.Design/methodology/approachThe multi-case study is applied to this paper. Specifically, this study is a combination of exploratory and explanatory case studies.FindingsThe findings are threefold. First, empowerment capability and the information-sharing level are unique factors that affect SLEC's organizational collaboration. Second, greater empowerment capability stimulates the increase of information-sharing level. Third, emerging digital technology, personalized demand and peer competition affect the degree of SLEC's organizational collaboration through an intermediary variable – empowerment capability. Specifically, the emerging digital technology application and peer competition degrees have positive effects on empowerment capability, while the demand personalization degree negatively (positively) affects empowerment capability in the short (long) term.Originality/valueAs an important part of supply chain performance, organizational collaboration is receiving more attention. However, in the smart economy context, no theoretical framework exists for analyzing factors that affect the organizational collaboration degree of SLEC. This study fills this gap.

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“…Therefore, this is different from pure supply chain or technological innovation (Rong et al, 2020). The current research on the smart logistics ecological chain focuses on the construction of the smart logistics ecological chain system (Duan et al, 2018), and discusses the development of enterprises from the perspective of the ecological chain (Lin, 2019), and the influencing factors of a certain link of the efficiency of smart logistics organization (Liu et al, 2020c). However, there are research gaps in the theoretical framework of the organizational efficiency of the smart logistics ecological chain, and there is no theoretical framework for the organizational efficiency of the smart logistics ecological chain that can reflect the characteristics of smart logistics.…”

Section: Literature Review 21 Smart Logistics Ecological Chainmentioning

confidence: 99%

Influencing factors on organizational efficiency of smart logistics ecological chain: a multi-case study in China

Liu

Wei

Liang

et al. 2021

IMDS

Self Cite

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PurposeThis study explores the influencing factors on organizational efficiency of the smart logistics ecological chain, and designs the corresponding theoretical framework to guide the practice of enterprisesDesign/methodology/approachA multi-case study method is adopted in this study. It includes four companies A, B, C and D in China as the case study objects, collects data through enterprise survey and uses the combination of open coding and spindle coding to process the data. By testing the reliability and validity, the theoretical framework is summarized.FindingsFirst, organizational efficiency in smart logistics ecological chains is directly related to their service and technology innovation capability. Second, symbiotic relationships, information sharing and customer demand affect the efficiency of smart logistics multi-case ecological chains by influencing their service capacity; their technological innovation capability regulates the mechanism of influence. Third, technological innovation in smart logistics ecological chains positively impacts their service capabilities. Improving technological innovation capability can enhance logistics service capabilities.Originality/valueAccording to the characteristics of smart logistics, the theoretical framework about organizational efficiency of smart logistics ecological chain is constructed, which fills the research gap and can provide interesting perspectives for the future research related to the smart logistics ecological chain. At the same time, the findings can also help enterprises to better build the smart logistics ecological chain in practice.

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Factors influencing organisational efficiency in a smart-logistics ecological chain under e-commerce platform leadership

Cited by 51 publications

References 63 publications

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

The organizational collaboration framework of smart logistics ecological chain: a multi-case study in China

Influencing factors on organizational efficiency of smart logistics ecological chain: a multi-case study in China

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