Purpose The purpose of this paper is to present a conceptual model that defines the essential components shaping the new Digital Supply Chains (DSCs) through the implementation and acceleration of Industry 4.0. Design/methodology/approach The scope of the present work exposes a conceptual approach and review of the key literature from 1989 to 2019, concerning the evolution and transformation of the actors and constructs in logistics and Supply Chain Management (SCM) by means of examining different conceptual models and a state-of-the-art review of Industry 4.0’s concepts and elements, with a focus on digitization in supply chain (SC) processes. A detailed study of the constructs and components of SCM, as defined by their authors, resulted in the development of a referential and systematic model that fuses the inherent concepts and roles of SCM, with the new technological trends directed toward digitization, automation, and the increasing use of information and communication technologies across logistics global value chains. Findings Having achieved an exploration of the different conceptual frameworks, there is no compelling evidence of the existence of a conceptual SCM that incorporates the basic theoretical constructs and the new roles and elements of Industry 4.0. Therefore, the main components of Industry 4.0 and their impact on DSC Management are described, driving the proposal for a new conceptual model which addresses and accelerates a vision of the future of the interconnectivity between different DSCs, grouped in clusters in order to add value, through new forms of cooperation and digital integration. Originality/value This research explores the gap in the current SCM models leading into Industry 4.0. The proposed model provides a novel and comprehensive overview of the new concepts and components driving the nascent and current DSCs. This conceptual framework will further aid researchers in the exploration of knowledge regarding the variables and components presented, as well as the verification of the newly revealed roles and constructs to understand the new forms of cooperation and implementation of Industry 4.0 in digitalized SCs.

The situation we are currently experiencing, such as the health crisis, by COVID-19 has generated an increase in online purchases; factors such as the Quality of Electronic Service (e-SQ) are considered determining in this process since it allows us to evaluate and know the perception of consumers. The purpose of this article is to classify the knowledge generated about e-SQ and the diverse contexts in which it has been studied. For the review process, the Kitchenham and Charters method is used, with which diverse definitions and applications of service quality were obtained, and although there is no single concept that is accepted by the scientific community, it has been adapted by diverse authors. In the review, it was found as part of the results that five of the dimensions of quality of service had greater impact and relevance, which have been used in various contexts, leading to the creation of other models. Finally, a model is proposed for Mexico that starts from the five dimensions that had greatest impact and relevance in the studies for the consumer, which are Efficiency, Privacy, Compliance, Responsiveness and Contact; a dimension is added to the model that is "guaranty" considering some factors of the geographical area. This model could present important contributions for the measurement of service quality in a new context such as Mexico.

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Electronic Service Quality (e-SQ) is a topic that has been reviewed by several authors and, given the situation we live in, has become more relevant in the world; therefore, it is of vital importance to generate an effective measurement of the service being provided, which will allow companies to know the needs and expectations of their customers and how they evaluate the service received. This article considers an exploratory-descriptive research, which through a systematic literature mapping (MSL) reviews the methods and techniques that have been applied for the validity of the scales derived from e-SQ, thus generating a focused view of the methods applied in scientific research in the last five years. With the results obtained, a theoretical model for validating a scale is generated and proposed, which could be useful for researchers seeking to confirm and validate their scales or who are in the process of developing a research project.

The multivariate technique of partial least squares structural equations (PLS-SEM) considered as second generation, has become more relevant in its application in recent years in various investigations, so this article considers an descriptive research, the which presents some properties characteristic of said technique and through the application of data and values obtained from a case study shows the phases required to validate and evaluate a model with the PLS-SEM technique. With the results obtained, a theoretical model is generated and proposed that could be useful for researchers who starting in the use and application of this technique.