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This paper introduces a new mathematical model for analyzing the economic benefits of incorporating the fourth party logistics (4PL), which is a contractor (i.e. agent) for the supply chain coordination and construction based on the division of community and the outsourcing development. Based on the physical theory and the wave-particle duality, a supply chain is the special organization whose characteristic has wave-particle duality. The mathematical model enriches the connotation of 4PL and it broadens the thought for 4PL development. Secondly, the proposed mathematical model predicated on transaction costs, is supported by Transaction Cost Theory (TCT) and acts as the theoretical analysis tool of 4PL for coordinating 3-party generic supply chain. Through the model, some trendy conclusions can be drawn to provide theoretical support for 4PL’s practices. Finally, a case illustrates our conclusions.

The aim of this study is to examine the role and capabilities of fourth party logistics (4PL) in the supply chain agility and firm performance. In addition to this, the relationship between supply chain agility and firm performance is also examined. This study aims to fulfill the gap in the literature about the studies on the relationship between 4PL capability dimensions, supply chain agility and business performance.

The study uses survey data from 58 senior executives and managers in the logistics and supply chain functions from 4PL service providers' customer firms in Turkey. The results are structural equation modeling using SmartPLS software. Snowball sampling method was used to collect survey data.

This study shows that integrator and supply chain infomediary are appropriate practices for mediating the impact of agile supply chain strategies, on firm performance. For supply chain practitioners, results indicate that firms benefit greatly if they consider the outsourcing, such as a 4PL partnership, in conjunction with their supply chain strategy.

Time, cost and the presence of businesses located in different cities across Turkey in the sample of study and the existence of the tendency of enterprises not to participate in the research can be stated as the limitations of this study.

In the literature, studies on 4PL have been conducted in different fields which can be categorized as follows: 4PL solution development, reasons that facilitate and prevent the design and implementation of 4PL, scope of 4PL service delivery and profit and risk sharing from the structure of 4PL networks. Briefly, the studies focus on conceptualizing and differentiating of 4PL from 3PL before reaching a common definition. Motivation of this study is to fulfill the gap of literature about supply chain agility, firm performance relationship and mediation role of 4PL skill dimensions.

The purpose of this paper is to identify integrated solutions business as the first generation of servitized offerings and modular solution offerings as the second development phase in servitization of original equipment manufacturers. This study examines how the servitized manufacturer, Kone, moves from integrated solutions to modular solutions business and develops the requisite capabilities to design, produce and implement modular solution offerings.

The paper reports a longitudinal case study of a provider of integrated solutions installed in buildings. During the ten years studied, the manufacturer implemented a strategic initiative to modularize its integrated solutions offering.

The firm’s transition to modular solutions progressed through three major capability development phases: solutions based on ad hoc integration, smart solutions based on modular design and through-chain modularity. The modular structure aims at fostering the efficiency of the solution offering and the associated production system.

Leveraging the benefits of modularity calls for an aligned combination of strategic, operational and technical capabilities contributing to the integration of resources in a modular production system for the solution providers’ competitive performance.

The study reports how a solution provider can develop the operational capabilities to integrate the core and peripheral components into the solution, and orchestrate the modular production system.

This study is a rare longitudinal analysis of how a manufacturer builds a modular offering, the solution platform and the required competitive capabilities to provide the solution.

Technology-enabled business-to-business (B2B) services contribute the largest share to GDP growth and are fundamental for an economy’s value creation. This article aims to identify key service- and digital technology-driven B2B innovation modes and proposes a research agenda for further exploration.

This conceptual paper adopts a techno-demarcation view on service innovation, encompassing three core dimensions: service offering (the service product, or the “what”), service process (the “how”) and service ecosystem (the “who/for whom”). It delineates the implications of three digital technologies – the internet-of-things (IoT), intelligent automation (IA) and digital platforms – for service innovation across these core dimensions in B2B markets.

Digital technology has immense potential ramifications for value creation by reshaping all three core dimensions of service innovation. Specifically, IoT can transform physical resources into reconfigurable service products, IA can augment and automate a rapidly expanding array of service processes, while digital platforms provide the technical and organizational infrastructure for the integration of resources and stakeholders within service ecosystems.

This study suggests an agenda with six themes for further research, each linked to one or more of the three service innovation dimensions. They are (1) new recurring revenue models, (2) service innovation in the metaverse, (3) scaling up service innovations, (4) ecosystem innovations, (5) power dependency and lock-in effects and (6) security and responsibility in digital domains.

This study aims to analyze the factors that drive or prevent interorganizational data sharing in the context of digital transformation (DT). Data sharing appears as a precondition for companies to capture emerging opportunities in supply chain management and for product-related servitization; however, there are ongoing concerns, and data are often perceived as the “new oil.” It is thus important to gain a better understanding of the determinants of firms’ decisions.

The authors develop an embedded case study analysis involving 16 firms within an extended supply network in the automotive industry. The authors focus on the peculiarities of the new context, as opposed to elements highlighted by research prior to the advent of the latest technologies. Abductive reasoning is applied to the theoretical foundations of the resource-based view, resource dependence theory and the complex adaptive systems perspective.

Data sharing is largely underpinned by factors identified prior to DT, such as data specificity, dependence dynamics and protection mechanisms and the dynamism of the business context. DT, however, can influence the extent of data sharing. New factors concern complementarities whenever data are pooled from different sources and digital platforms, as well as different forms of data ownership protection.

This study stresses that data sharing in the context of DT can be explained through established theoretical lenses, providing the integration of elements accounting for new technological opportunities.

The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry.

Exploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms.

The findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets.

This study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.