Abstract
In view of the strong market presence and leverage of major corporations involved in this topic, the most straightforward answer to the questions above is “No”. Nevertheless, multiple perspectives should be considered. Thus, along this article we reflect about the concept of “metaverse”, what parts of it exist today, and what is foreseen that makes this concept a much discussed game changer.

Abstract
This paper focuses on developing and assessing a non-obtrusive and transformative method, based on virtual reality, to evaluate science communication projects in science centres. The method was tested using deep-sea cutting-edge scientific content. We applied a mixed design, with 72 adult participants randomly assigned to experimental conditions (with/without exhibition exposure). Results showed that the exhibition promoted a better understanding of science. The non-obtrusive measures on awareness and engagement were positively related with questions posed via questionnaire and interview. The study adds theoretical and empirical support to the design and implementation of non-obtrusive and transformative evaluation experiences in science exhibitions in science centres and museums.

Abstract

Abstract
In this work, we study a flexible compensation scheme for last-mile delivery where a company outsources part of the activity of delivering products to its customers to occasional drivers (ODs), under a scheme named crowdshipping. All deliveries are completed at the minimum total cost incurred with their vehicles and drivers plus the compensation paid to the ODs. The company decides on the best compensation scheme to offer to the ODs at the planning stage. We model our problem based on a stochastic and dynamic environment where delivery orders and ODs volunteering to make deliveries present themselves randomly within fixed time windows. The uncertainty is endogenous in the sense that the compensation paid to ODs influences their availability. We develop a deep reinforcement learning (DRL) algorithm that can deal with large instances while focusing on the quality of the solution: we combine the combinatorial structure of the action space with the neural network of the approximated value function, involving techniques from machine learning and integer optimization. The results show the effectiveness of the DRL approach by examining out-of-sample performance and that it is suitable to process large samples of uncertain data, which induces better solutions.

Abstract
Organic food purchase behavior is attracting increasing attention from researchers and managers. However, there is a need to further explore differences among groups of consumers, namely with regards to cultural dimensions. To help fill this gap, this article aims to examine the impact of collectivism on the determinants of organic food purchase intention and behavior. Building on the theory of planned behavior, this article suggests its extension by considering an additional set of explanatory variables that are shown to be relevant to explain consumer behavior. It includes a quantitative study conducted with young consumers from two European countries, Norway (n = 468) and Portugal (n = 448). Structural equation modelling allowed to conclude that collectivism positively impacts attitude, subjective norm, perceived price, and environmental concern towards organic food. The expected positive impacts of collectivism on product availability and health concerns were not supported by the study. Furthermore, the positive impact of attitude, subjective norm, perceived price, health consciousness, and environmental concerns on intention to purchase organic food were also confirmed, even though availability had an insignificant impact on intentions. Finally, and aligned with extant literature, this study also found a positive impact of intention to purchase behavior on organic food. Interestingly, the positive relationship between Collectivism and Availability, and between Availability and Purchase Intention, was only significant for Portugal. The study confirms the relevance of considering cultural dimensions, particularly collectivism/individualism, to further understand consumer behaviors toward organic food. Based on the findings, implications for both managers and researchers are highlighted.

Abstract
To modernize distribution networks and enable the energy transition, we need to understand the most appro-priate regulatory approach. A set of new technologies with positive externalities challenge the traditional reg-ulatory models. We develop a decision model to assess firms' incentives to invest in new technologies under different regulatory schemes that consider externality effects. Results show that regulatory schemes under which companies retain the gains (or losses) of achieving (or not) efficiency targets more effectively promote inno-vation investments that reduce network costs. However, a case-by-case approach should be preferred for tech-nologies whose benefits go mostly beyond the network activities.