The role of the 4PL Model in a contemporary supply chain

Skender, Helga Pavlić; Mirković, Petra Adelajda; Prudky, Ivan

doi:10.31217/p.31.2.3

Cited by 10 publications

(8 citation statements)

References 5 publications

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“…16 The 4PL manage a value creating business solution through control of time and place and possession within the client organization. 17 5PL is the realization of full-scale operation of e-procurement 18 as an e-logistics agent or a provider of e-solutions. 7PL is the amalgamation of a well-established 3PL domain with the concept of 4PL, rendering various services to respond customer demands more with no own assets.…”

Section: Logistics Service Activity For Courier Businessmentioning

confidence: 99%

Idea selection of new service for courier business: The opportunity of data analytics

Jintana

Ramingwong

2021

International Journal of Engineering Business Management

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E-commerce growth enforces the courier business to focus on developing a new business model decision. This paper aims to explore a suitable new business idea for courier business if the Data Analytics (DA) can be advantageous, using small courier company as a case study. The study investigates Logistics Service Provider (LSP) activities and the Gap Analysis and SWOT analysis were conducted to explore Data Analytics (DA) opportunity. Then, the alternative business models were pre-screened by the requirements of company, i.e. reasonable investment cost and the opportunity in using Data Analytics (DA). Ansoff Matrix is used to classify the alternative of new service idea into two segments; 1) offer development, i.e. Market development, and 2) New business development, i.e. Service development and Diversification. Fuzzy Analytic Hierarchy Process (FAHP) is used to select suitable business idea by weighted summation on five of Data Analytics (DA) accommodation criteria, i.e. company capability; the ability performs of demand; vision, strategy, and desire of executive, investment strategy and customer data opportunity. The business models that are mostly desirable are 1) Suppliers-Consignees recommendation, 2) Fulfillment service model and 3) Sourcing model. These three models were elaborated and discussed in the perspectives of company and customer. Additionally, this research proposes several challenges in Data Analytics (DA) related in logistics activity, key decision criteria and methods of idea selection implemented guidelines for logistics business practice.

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Section: Logistics Service Activity For Courier Businessmentioning

confidence: 99%

Idea selection of new service for courier business: The opportunity of data analytics

Jintana

Ramingwong

2021

International Journal of Engineering Business Management

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“…Amidst a technological revolution, the Pakistani automobile manufacturing sector grapples with transformative shifts driven by Industry 4.0 and Big Data, reshaping supply chain paradigms. The implementation of these technologies has catalyzed substantive changes in supply chain activities and methodologies, especially within manufacturing firms aiming to harness emerging techniques and technologies (Skender, Mirkovic, & Prudky, 2021). With digitalization and automation at the forefront, stemming from the integration of Industry 4.0 applications, supply chain processes evolve, enabling network agents to autonomously communicate and exchange data, thus refining their capacities and augmenting their operational efficacy (Abdirad & Krishnan, 2021).…”

Section: Introductionmentioning

confidence: 99%

Strategic Impact of Industry 4.0 and Big Data on Supply Chain Efficacy in Pakistani Manufacturing

Arif,

Khan,

Shah

2023

ABBDM

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The research aims to scrutinize the influence of Industry 4.0 indicators and Big Data Analytics in innovating and transforming supply chain processes in the manufacturing sector of Pakistan, highlighting how Industry 4.0 factors alter supply chain activities. This study was conducted within the manufacturing industry, specifically targeting employees from the automobile sector in Karachi, Pakistan. Data was collected through online Google Forms, utilizing a closed-ended questionnaire deployed on a Likert scale, to explore various independent variables and their impact on supply chain performance. Survey responses indicate that the variables—supply chain flexibility, supply chain agility, research and development, role of MIS, leadership style, and big data analytics—predominantly influence supply chain performance, albeit with one insignificant relationship noted between leadership style and supply chain performance. The research also affirms the significant mediating impact of supply chain performance indicators on organizational performance. The research may confront limitations related to its generalizability across varied industries and regions due to potential disparities in technological adoption and regulatory frameworks, and the exclusive focus on supply chain performance as the sole mediator might overlook alternative pathways through which the independent variables could influence organizational performance. The insights derived from this research could serve as a guide for managers and manufacturing organizations to comprehend the transformations invoked by Industry 4.0, offering a lens through which to perceive shifts in supply chain performance and activities. The study offers a pivotal examination of the evolution in supply chain practices induced by Industry 4.0 and Big Data Analytics within the context of Pakistan’s manufacturing arena, thereby providing a valuable resource for practitioners and academicians to understand and navigate the landscape of digitally transformed supply chains.

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“…The complexity of today's supply chains (SC), combined with demand variability (Mehmann and Teuteberg, 2016a) and the global health crisis, require that logistics service providers (LSPs) improve their resiliency, competitiveness and innovativeness, thereby increasing the perceived importance of the role played by fourth-party logistics (4PL) (Pavlić Skender et al. , 2017; Saikouk et al.…”

Section: Introductionmentioning

confidence: 99%

“…The current issue and full text archive of this journal is available on Emerald Insight at: https://www.emerald.com/insight/0957-4093.htm perceived importance of the role played by fourth-party logistics (4PL) (Pavli c Skender et al, 2017;Saikouk et al, 2021). Introduced by Andersen Consulting (Now Accenture Consulting) in 1996 as a trademark, 4PL has been defined by Bade and Mueller (1999) as "an integrator that assembles its own resources, capabilities, technology and other service providers to design and manage complex supply chains" (p. 78).…”

Section: Introductionmentioning

confidence: 99%

A new taxonomy of fourth-party logistics: a lexicometric-based classification

Fattam¹,

Saikouk

Hamdi

et al. 2022

IJLM

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PurposeThis paper aims to elaborate on current research on fourth party logistics “4PL” by offering a taxonomy that provides a deeper understanding of 4PL service offerings, thus drawing clear frontiers between existing 4PL business models.Design/methodology/approachThe authors collected data using semi-structured interviews conducted with 60 logistics executives working in 44 “4PL” providers located in France. Using automatic analysis of textual data, the authors combined spatial visualisation, clustering analysis and hierarchical descending classification to generate the taxonomy.FindingsTwo key dimensions emerged, allowing the authors to clearly identify and distinguish four 4PL business models: the level of reliance on interpersonal relationships and the level of involvement in 4PL service offering. As a result, 4PL providers fall under one of the following business models in the taxonomy: (1) The Metronome, (2) The Architect, (3) The Nostalgic and (4) The Minimalist.Research limitations/implicationsThe study focuses on investigating 4PL providers located in France; thus, future studies should explore the classification of 4PL business models across different cultural contexts and social structures.Practical implicationsThe findings offer valuable managerial insights for logistics executives and clients of 4PL to better orient their needs, the negotiations and the contracting process with 4PLs.Originality/valueUsing a Lexicometric analysis, the authors develop taxonomy of 4PL service providers based on empirical evidence from logistics executives; the work addresses the existing confusion regarding the conceptualisation of 4PL firms with other types of logistical providers and the role of in/formal interpersonal relationships in the logistical intermediation.

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The role of the 4PL Model in a contemporary supply chain

Cited by 10 publications

References 5 publications

Idea selection of new service for courier business: The opportunity of data analytics

Idea selection of new service for courier business: The opportunity of data analytics

Strategic Impact of Industry 4.0 and Big Data on Supply Chain Efficacy in Pakistani Manufacturing

A new taxonomy of fourth-party logistics: a lexicometric-based classification

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