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This study proposes a model for the analysis and performance evaluation of e‐supply chains (e‐SCs), that are supply chains (SCs) in which actors are connected by Internet technologies. It is assumed that e‐SC performances are influenced by the network ol structures, by the criteria adopted to manage relationships among involved actors, and by the critical activities that the leading company performs. At first, the variables influencing such factors are identified and the interdependencies among them are analysed to establish existing correlations. This, in turn, enables one to group the values of the influencing factors in four coherent sets which are consistent with different business environments, thus assuring the effectiveness and efficiency to the e‐SC. The obtained reference model is then tested by applying it to literature‐based case studies. The output of this model may be used to design totally new e‐SCs or to redesign the existing ones, in both manufacturing and services industries.

This purpose of this paper is to present a methodology for optimally planning long‐haul road transport activities through proper aggregation of customer orders in separate full‐truckload or less‐than‐truckload shipments in order to minimize total transportation costs.

The model is applied to a specific Italian multi‐plant firm operating in the plastic film for packaging sector. The method, given the order quantities to be shipped and the location of customers, aggregates shipments in subgroups of compatible orders resorting to a heuristic procedure and successively consolidates them in optimized full truck load and less than truck load shipments resorting to a Genetic Algorithm in order to minimize total shipping costs respecting delivery due dates and proper geographical and truck capacity constraints.

The paper demonstrates that evolutionary computation techniques may be effective in tactical planning of transportation activities. The model shows that substantial savings on overall transportation cost may be achieved adopting the proposed methodology in a real life scenario.

The main limitation of this optimisation methodology is that an heuristic procedure is utilized instead of an enumerative approach in order to at first aggregate shipments in compatible sets before the optimisation algorithm carries out the assignments of customer orders to separate truckloads. Even if this implies that the solution could be sub‐optimal, it has demonstrated a very satisfactory performance and enables the problem to become manageable in real life settings.

The proposed methodology enables to rapidly choose if a customer order should be shipped via a FTL or a LTL transport and performs the aggregation of different orders in separate shipments in order to minimize total transportation costs. As a consequence, the task of logistics managers is greatly simplified and consistently better performances respect manual planning can be obtained.

The described methodology is original in both the kind of approach adopted to solve the problem of optimising orders shipping in long‐haul direct shipping distribution logistics, and in the solution technique adopted which integrates heuristic algorithm and an original formulation of a GA optimisation problem. Moreover, the methodology solves both the truckload assignment problem and the choice of LTL vs FTL shipment thus representing an useful tool for logistics managers.

To present a decision support system (DSS) enabling the analysis of the cost‐effectiveness of direct‐shipping long‐haul road transport policies, including full truck load (FTL) and less than truck load (LTL) modes, and to select the optimal carrier.

Analytical estimation of transportation costs is provided in a framework including an interactive computer procedure and a dedicated database structure capable of characterizing the logistics system.

Main criticalities of manual logistic planning are: sub‐optimal selection of carrier and excessive use of LTL transport, while the optimal FTL vs LTL trade‐off is not fully explored in practice.

This is an analysis tool of user‐defined scenarios and does not provide the automatic synthesis of shipments planning. Admittedly, this model does not attempt to optimize the shipping strategy, but to quantitatively assess the effects of the adopted decisions.

Alternative shipping policies can be compared to perform what‐if analyses and explore the outcome of alternative decisions (FTL vs LTL shipping modes) even in terms of transportation expenditures. Allows rapid selection of the optimal motor carrier and assesses the extra cost due to a sub‐optimal choice. Gives the experienced manager a framework for critical assessment of shipping decisions, suggesting improvement areas for cost reduction.

With respect to other software tools for carrier selection provides explicit analysis of extra costs incurred by manual planning, thus becoming a strategic tool for logistic decision making. Furthermore, enables managerial insights to be gained and makes manual planning more effective.

Manufacturing offshoring has received substantial attention within international business studies that have explored where activities are located and how they are governed. However, recent examples of manufacturing relocation to the home country/region have put the advantages of offshoring under scrutiny, since the location of production activities in high-cost countries may have positive impacts in terms of innovation and marketing opportunities. Despite the growing interest in offshoring and “relocations of second degree,” there is a lack of knowledge on the alternative strategies firms may implement after offshoring. This chapter aims to propose a comprehensive framework to summarize and classify the multiple alternatives firms may implement after the initial relocation abroad of manufacturing activities. Based on an extensive literature review and a comparative analysis of Italian case studies, the chapter suggests theoretical advancement in the theory of location of business activities, offering multiple post-offshoring strategic options that may be implemented individually or in combination. In so doing, the analysis also stresses the variety of strategic paths and the complexity of choices concerning manufacturing location, emphasizing reshoring as a nuanced phenomenon and exploring how domestic and foreign locations can complement each other and be mutually reinforcing.

The aim of this paper is to analyze and classify research that has been conducted on manufacturing reshoring, i.e. the decision to bring back to the home country production activities earlier offshored, independently of the governance mode (insourcing vs outsourcing). Consequently, the paper also aims at providing avenues for future research and to highlight the distinct value of studying manufacturing reshoring either per se or in combination with other constructs of the international business tradition.

A set of 57 carefully selected articles on manufacturing reshoring published in international journals or books indexed on Scopus in the past 10 years was systematically analyzed based on the “5Ws and 1H” (who-what-where-when-why and how) set of questions.

The authors’ work shows a certain convergence among authors regarding what reshoring is and what its key features and motivations are. In contrast, other related aspects, such as the decision-making and implementation processes, are comparatively less understood.

As manufacturing reshoring is a “recent” topic, for some of its aspects, only exploratory research is available to date, limiting the authors’ possibility to either characterize it in a more exhaustive way or highlight well-established patterns.

The paper demonstrates that studying reshoring will indeed contribute to expanding our understanding of internationalization processes and strategies in general and of production internationalization specifically. While past studies have argued that the learning derived from international experience would permit firms to overcome their unfamiliarity with new business environments, reshoring might show that this outcome is not necessarily certain. Rather, firms might not be able to overcome obstacles because of internationalization or they might realize that attempting to do so is not desirable, e.g. because of excessive risk or changes in the firm’s strategic priorities.

From a societal point of view, the present research underlines that reshoring can be part of that re-industrialization policy that many Western countries include in their economic agenda – yet, its impact on employment should not be overestimated, as often relocation is only in regard to some product lines. At the same time, there might be an intimate relationship between reshoring and the various forms of technological innovations applied to manufacturing – which has become popularly labeled as “Industry 4.0”.

Literature reviews proposed until now usually paid almost exclusive attention to motivations driving this phenomenon. This paper offers a broader and more comprehensive examination of the extant knowledge of manufacturing reshoring and identifies the main unresolved issues and knowledge gaps, which future research should investigate.

Due to wider acceptance of information technology (IT) and e-commerce among the consumers, firms belonging to agri businesses are rapidly redefining IT-driven stakeholders' centric completive strategy for their supply chain. This has forced the firms to understand the stakeholders' information needs and quality they expect from the electronic supply chains. Thus, the present study focusses on developing an information quality framework that ensures the success of stakeholders' centric e-agri supply chain. The study also attempts to investigate the interrelationship between formative endogenous latent variables, i.e. value of information (VoI), e-platform responsiveness (RESP), e-platform aesthetics (SAE), e-platform ease of use (EoU) and fulfillment of expectation (FoE) used in the developing the proposed framework.

Survey based data are obtained from 280 respondents using semistructured questionnaire to validate the proposed theoretical framework. The structural equation modeling is performed using IBM Statistical Product and Service Solutions (SPSS) 16.0 and Analysis of Moment Structures (AMOS) 24.0 package to establish structural model by accommodating determinants of information quality framework identified from extent literature. Confirmatory factor analysis (CFA) is employed to examine the robustness of manifesting variables that define the latent constructs. The robustness measuring items of constructs are also ensured through specified criteria of reliability, convergent validity and discriminant validity. At last the one-way ANOVA and post-hoc analysis are employed to investigate the stakeholders’ group difference on each study construct.

The results infer the impact RESP, VoI, SAE and EoU on the fulfillment of expectation (FoE). After applying the bootstrapping technique, it was observed that all causal relationships as proposed in hypotheses H1, H1a, H1b, H2, H3 and H4 have gained significant empirical support, thus verify the framework applicable to e-agri supply chain as the study outcome. Addition to this, SAE mediates relationship of RESP and VoI. The RESP and SAE have an indirect positive effect on “EoU.” Findings also suggest that the intermediaries expect better e-platform responsiveness and value of information from e-agri supply chain as compared to farmers and end consumers.

The findings of the study emphasized on the importance of five exogenous variables for e-agri supply chain in order to achieve stakeholders' expectation fulfillment on the information delivered through e-agri supply chain. The study is of great significance to the practitioners and management professionals by aiding strategic worth of market expansion by maximizing users' base by developing, deploying and facilitating a responsive and resilient stakeholders' centric e-agri supply chains. The study provides insights to the cross-domain researchers, firms, managers and policymakers to capture detailed and deeper understanding on the system design, stakeholders' behavior and in policy formulation so as to suggest remedial measures to strengthen the stakeholders' belief on relying e-agri supply chain.

The study considers the empirical model that shows the determinants and their relationship in the “information quality framework” as unique and novel contribution in the context of e-agri supply chain. The framework determines the quality and efficacious use of information that regulates the effectiveness of e-platform from stakeholders' perspective. The investigated constructs and their relationship depict their importance in creating systematic value chain of information across the supply chain.

Based on in-depth case studies from a high-cost environment, we identify context-specific aspects as important motivating factors for decision-makers re-evaluating the previous offshoring decisions. This chapter sheds light on the complexity of backshoring motives by adding a meso level, illustrating how case companies’ sourcing decisions evolve alongside the institutional context at a regional level. Further, the chapter provides a deeper understanding of the motives that underlay backshoring decisions and argues that these motivating factors differ from a broader set of drivers that can be found within the existing frameworks of backshoring.

This paper aims to theorize on the internationalization process model to explain cases of manufacturing reshoring as decisions taken to manage risk when internationalizing.

The paper is of a conceptual nature. Building on the logic of the internationalization process model, the authors extend previous work by focusing on firms’ risk perception (determined by commitment, knowledge and uncertainty as key variables) to explain also reshoring decisions.

Four propositions were developed, concerning the likelihood of firms to make manufacturing reshoring decisions. The first two propositions deal with the effects of new risk contingencies, and the other two refer specifically to the effects of managerial perceptions of three different typologies of risk, namely, host-country, home-country and reshoring-process specific risk.

While reshoring has been discussed mainly on the basis of economic arguments, this paper offers an alternative, behavioural view of this phenomenon as a strategic risk-management process. Therefore, it offers initial steps to theorize about reshoring from a risk-management perspective and, in doing so, opens up a number of avenues for future research.

Backshoring keeps gaining popularity with consultancies, politicians and businesses alike, yet academic research lags behind this seemingly increasing practice. Through a narrative, critical overview of literature the paper demonstrates incipient nature of backshoring research and identifies international business and economic geography as most relevant disciplines in furthering the understanding of the phenomenon and its managerial, policy and developmental significance.

The number of firms which backshored some or all of their activities from locations abroad appears to be growing, however due to unavailability of reliable data it is difficult to accurately assess how common backshoring is. There is a problem even with estimating the scale of the phenomenon which stems from the fact that the concept remains to be ill-defined. Consequently, current research is dominated by contradicting observations disallowing meaningful conclusion. However it is such shortcomings which arguably offer an unmissable opportunity for theory testing and development, and contribution to managerial practice and policy design.

The advantages of offshoring are increasingly under scrutiny, and coronavirus disease 2019 (COVID-19) has advanced the debate, calling for a redefinition of firms' production location strategies. While attention has primarily focused on the relocation of second-degree strategies, such as back-shoring, near-shoring and further offshoring, there are also other alternatives, including home country-based domestic product and process innovations, and the development of new business activities. The objective of the authors' paper is to identify which factors influence decision-makers when they select and implement such post-offshoring strategic alternatives.

The authors consider 11 Italian manufacturing companies that implemented these strategies and analyze triggers, drivers, enabling factors and barriers of the decision phase, as well as content, governance mode and timing of the implementation phase.

Based on the collected findings, the authors suggest a set of propositions for further research. First of all, firms can simultaneously manage multiple strategies by adopting an ambidextrous approach through which to mitigate supply chain risks. They may integrate their domestic and international production activities, but the home country remains central for innovations and production of high-end products and Industry 4.0 technologies increases the probability of investing in their home country. At the same time, lack of competence induces selective near- and back-shoring, while full back-shoring is mainly a consequence of managerial mistakes. Competence availability acts as a barrier to relocation in the home country, inducing the implementation of either an insourcing strategy or a combination of insourcing and outsourcing.

The authors' work identifies post-offshoring as a dynamic process and provides insights into the post-pandemic scenario. The conceptual framework may represent a useful tool for company managers in re-evaluating their initial offshoring strategies.