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The anticipated benefits of connected and autonomous vehicles (CAVs) include safety and mobility enhancement. Small headways between successive vehicles, on one hand, can cause increased capacity and throughput and thereby improve overall mobility. On the other hand, small headways can cause vehicle occupant discomfort and unsafety. Therefore, in a CAV environment, it is important to determine appropriate headways that offer a good balance between mobility and user safety/comfort.

In addressing this research question, this study carried out a pilot experiment using a driving simulator equipped with a Level-3 automated driving system, to measure the threshold headways. The Method of Constant Stimuli (MCS) procedure was modified to enable the estimation of two comfort thresholds. The participants (drivers) were placed in three categories (“Cautious,” “Neutral” and “Confident”) and 250 driving tests were carried out for each category. Probit analysis was then used to estimate the threshold headways that differentiate drivers' discomfort and their intention to re-engage the driving tasks.

The results indicate that “Cautious” drivers tend to be more sensitive to the decrease in headways, and therefore exhibit greater propensity to deactivate the automated driving mode under a longer headway relative to other driver groups. Also, there seems to exist no driver discomfort when the CAV maintains headway up to 5%–9% shorter than the headways they typically adopt. Further reduction in headways tends to cause discomfort to drivers and trigger take over control maneuver.

In future studies, the number of observations could be increased further.

The study findings can help guide specification of user-friendly headways specified in the algorithms used for CAV control, by vehicle manufacturers and technology companies. By measuring and learning from a human driver's perception, AV manufacturers can produce personalized AVs to suit the user's preferences regarding headway. Also, the identified headway thresholds could be applied by practitioners and researchers to update highway lane capacities and passenger-car-equivalents in the autonomous mobility era.

The study represents a pioneering effort and preliminary pilot driving simulator experiment to assess the tradeoffs between comfortable headways versus mobility-enhancing headways in an automated driving environment.

This paper aims to report on a case study concerning the development of sustainable energy partnerships involving engineering faculty and undergraduate students at the University of Girona, Catalonia, Spain.

Faculty were motivated to seek partnerships with public and private entities in the local area for the purposes of realising mutually beneficial outcomes. The educational programmes of future engineers, when sustainability is considered, are analysed. Education for sustainable development has to include multidisciplinary active learning as a desirable competence. Active learning can be obtained when problems are based on real life because they are most motivating for students. Constructive alignment component is obtained because learning objectives are linked with learning activities related to the needs of public and private entities.

Through the provision of technical expertise, the adoption and success of renewable energy projects was facilitated on the one hand, while final year undergraduate students benefited in terms of hands-on experience in helping to bring these projects to life, drawing on the knowledge and skills they had acquired throughout their degree programmes. These works are addressed to students by faculty members with the aim of developing and promoting renewable energies. Outcomes from partnerships surpassed expectations; not only were different benefits realised as were initially hoped for, but this success led to partnerships being sustained over time.

Fossil fuel-based energy systems are associated with a myriad of negative environmental and social externalities. It is difficult to overstate the importance of transitioning towards alternative low carbon energy sources for climate change mitigation which are less centralised compared to the status-quo for energy security and energy independence. By actively facilitating the development of decentralised renewable energy sources in Catalonia, the projects reported herein are of significant value in social environmental and educational terms.

The aim of the study is to explore the genesis of entrepreneurial ecosystems (EE) and highlight the role played by intellectual capital (IC) in that process. Specifically, the paper adopts the collective intelligence approach, and the study shows how human capital (HC), structural capital (SC) and relational capital (RC) interact to create an entrepreneurial ecosystem.

The paper adopts a single case study of an Italian EE. The data analysis is based upon the collection of different sources of data: semi-structured interviews with representatives of each actor of the ecosystem; email correspondence; meetings report; a 24-months period of direct observation. Given the novelty of the topic, the qualitative method seems well suited for studying innovation-based EE since the method offers rich data about a phenomenon in real-life context.

The case is a top-down, innovation-based EE in which all main components of the IC play a crucial role from the initial stage. Findings show how the constant interchange between IC components occurs at two different levels: the micro and the meso level. HC and RC play major roles at both levels, whilst SC only occurs at a meso level, representing the environment in which the whole ecosystem takes place. Additionally, the use case, a new intangible asset integrating all three components of IC, emerged as one of the main outcomes of this innovation-based EE.

The paper contributes to a rather unexplored topic in the existing literature on EE and IC, namely the formation process of EE and the role played by IC within that process. Additionally, through the application of the collective intelligence approach, the authors shed light on the need to manage IC at both micro and meso level in the creation of an EE.

This study aims to provide a measurement model, and the underlying constructs and items, for Logistics 4.0 in manufacturing companies. Industry 4.0 technology for logistics processes has been termed Logistics 4.0. Logistics 4.0 and its elements have seen varied conceptualizations in the literature. The literature has mainly focused on conceptual and theoretical studies, which supports the notion that Logistics 4.0 is a relatively young area of research. Refinement of constructs and building consensus perspectives and definitions is necessary for practical and theoretical advances in this area.

Based on a detailed literature review and practitioner focus group interviews, items of Logistics 4.0 for manufacturing enterprises were further validated by using a large-scale survey with practicing experts from organizations located in Central Europe, the Northeastern United States of America and Northern Thailand. Exploratory and confirmatory factor analyses were used to define a measurement model for Logistics 4.0.

Based on 239 responses the exploratory and confirmatory factor analyses resulted in nine items and three factors for the final Logistics 4.0 measurement model. It combines “the leveraging of increased organizational capabilities” (factor 1) with “the rise of interconnection and material flow transparency” (factor 2) and “the setting up of autonomization in logistics processes” (factor 3).

Practitioners can use the proposed measurement model to assess their current level of maturity regarding the implementation of Logistics 4.0 practices. They can map the current state and derive appropriate implementation plans as well as benchmark against best practices across or between industries based on these metrics.

Logistics 4.0 is a relatively young research area, which necessitates greater development through empirical validation. To the best of the authors knowledge, an empirically validated multidimensional construct to measure Logistics 4.0 in manufacturing companies does not exist.

The paper aims to address the gap in the literature related to students’ mindsets and learning activities through investigation of the differences in students’ expectations of, feelings towards, and perceptions of an overseas study tour based on their mindset. The study provides an in-depth analysis of students with different mindsets and proposes the use of overseas tours and intercultural learning to foster students’ growth mindset.

An overseas study tour hosted by a self-financing tertiary institution in Hong Kong was selected for investigation. 13 sub-degree students participated in the study tour during the summer term in 2018. Two types of primary data – quantitative (i.e., a questionnaire survey) and qualitative (i.e., in-depth interviews) – of fixed mindset and growth mindset students were collected for analysis.

The findings indicate differences in students’ expectations of, feelings towards, and perceptions of an overseas study tour depending on whether they demonstrate a fixed or growth mindset. The growth mindset students had more and higher expectations of the study tour, all of which were related to personal growth and development. The fixed mindset students did not have as much of a desire for personal development and their expectations were easily met. Both growth and fixed mindset students had positive feelings and perceptions of the tour.

Research on the application value of overseas study tours in helping students from self-financing tertiary institutions develop a growth mindset is scarce, and thus warrants further investigation.

The purpose of this study is to explore how luxury companies can use knowledge embedded in tradition to set up effective business models.

Given the limited coverage in previous literature regarding the manner in which tradition can be leveraged by companies to create and capture value, this paper adopts a qualitative approach, i.e. the exploratory analysis of a single case study, namely, that of the high-end Italian hotel Borgo Egnazia.

Within a focus on luxury firms, this paper conceptualizes the tradition-driven business model highlighting activities aimed at creating and capturing value by using knowledge embedded in tradition. Combining value creation and value capture with tacit and codified knowledge, the authors are able to highlight the components of a business model that uses tradition as its main distinctive resource.

To the best of the authors’ knowledge, this is the first study to explore how companies use tradition to create and capture value.

Firms can choose from an array of approaches for reducing the detrimental financial effects caused by unfavorable fluctuations in commodity prices. The purpose of this paper is to provide guidance for effectively estimating the financial effects of mitigating commodity price risk volatility (CPV) in supply chain management decisions.

This paper adopts two prominent and complementary methodologies, namely, total cost of ownership (TCO and real options valuation (ROV), to illustrate how commodity price risk mitigation strategies can be analyzed with respect to their effect on costs and performance. The paper provides insights through a case study to demonstrate the application of these methods together and establish the benefits and challenges associated with their implementation.

The paper illustrates advantages and disadvantages of TCO and ROV and how these approaches can be adopted together to contribute to effective purchasing decisions. Supply chain flexibility is a key capability but requires investments. Holistically measuring the financial effects of flexibility investments is imperative for gaining executive management support in mitigating commodity price volatility.

This study can provide supply chain professionals with useful guidance for measuring the costs and benefits related to developing strategies for mitigating commodity price volatility. TCO provides a focus on the costs associated with the commodity purchasing process, and ROV enables the aggregation of all the costs and benefits associated with the use of the strategy and synthesizes them into the net value estimate.

The paper provides a comparison of different but complementary approaches, specifically TCO and ROV, for analyzing the effectiveness of CPV risk mitigation decisions. In addition, these two methods allow supply chain professionals to evaluate and control the financial effects of CPV risk, particularly the impact of mitigation on firm’s cash flows.