Search results

Public opinion regarding autonomous vehicles (AV) heavily influences how quickly the technology will be implemented and adopted in the future. However, there is a dearth of empirical evaluations in the literature about riders' perceptions toward service characteristics of shared autonomous vehicles (SAVs) and their attitudes toward developing AVs. Therefore, the aim of this study is to identify attitudes, views and concerns regarding a self-driving demonstration called RAPID (Rideshare, Automation and Payment Integration Demonstration) incorporated with an already-existing on-demand ridesharing service in Arlington, Texas.

This study developed a ridership survey to collect data from those who had experience using the service at least once during the service deployment. As the RAPID service operations were restricted to the areas near the University of Texas at Arlington (UTA) campus, sample population of this study is highly skewed with all participants being affiliated with UTA.

Findings indicated that survey respondents positively perceived the service features, including comfort, boarding the vehicles, ride safety, booking and scheduling, vehicle speed, climate control and service cost. To complement the survey results, the authors conducted interviews and a focus group study and used conventional content analysis to gain more in-depth insights about RAPID service operations from the perspectives of users and non-users in the post-implementation period. The results indicated that geographic accessibility, service availability and trip cost were the primary concerns of the focus group participants.

This study offers critical insights into individual attitudes and perceptions toward shared AVs (SAVs) that will assist local, state and federal transit authorities and planners in formulating policies and transportation strategies to target SAV ridership when the service is more widespread.

The purpose of this study is to address the significant impact AVs will have on public services and the ability of first responders to conduct their jobs safely and effectively. Autonomous vehicles (AVs) are expected to drastically change the transportation industry, and it is vital that first responders be equipped to integrate them into their occupational responsibilities.

A systematic literature review was conducted, and following a multistep exclusion process, 161 articles were selected for detailed review. The impacts of AVs on first responders were identified, classified and categorized into lists of challenges and opportunities. Based on the findings of the literature review, a SWOT (strengths, weaknesses, opportunities and threats) analysis was conducted, and stakeholder management strategies were designed.

Through the examination of the impacts of AVs on first responders, 17 identified challenges and opportunities were classified into the following categories: AV-related emergency response and training, perceptions and acceptance of AVs, technology development and laws and regulations. The study revealed that the optimal benefits of AVs would require stakeholders to focus more on how they interact with first responders; thus, 14 stakeholder management strategies were identified. First responders, AV manufacturers, legislators and future research paths will all benefit from this study, as it can facilitate smooth interactions between AVs and first responders.

A range of studies have been published on the safety of AVs and the public’s perceptions of this new technology; however, the integration of AVs and their interactions with first responders has been neglected. The goal of this study was to fill that research gap by providing a thorough synthesis of autonomous driving systems in the context of their interactions with first responders.

This paper aims to review the shape sensing techniques using large area flexible electronics (LAFE). Shape perception of humanoid robots using tactile data is mainly focused.

Research papers on different shape sensing methodologies of objects with large area, published in the past 15 years, are reviewed with emphasis on contact-based shape sensors. Fiber optics based shape sensing methodology is discussed for comparison purpose.

LAFE-based shape sensors of humanoid robots incorporating advanced computational data handling techniques such as neural networks and machine learning (ML) algorithms are observed to give results with best resolution in 3D shape reconstruction.

The literature review is limited to shape sensing application either two- or three-dimensional (3D) LAFE. Optical shape sensing is briefly discussed which is widely used for small area. Optical scanners provide the best 3D shape reconstruction in the noncontact-based shape sensing; here this paper focuses only on contact-based shape sensing.

Contact-based shape sensing using polymer nanocomposites is a very economical solution as compared to optical 3D scanners. Although optical 3D scanners can provide a high resolution and fast scan of the 3D shape of the object, they require line of sight and complex image reconstruction algorithms. Using LAFE larger objects can be scanned with ML and basic electronic circuitory, which reduces the price hugely.

LAFE can be used as a wearable sensor to monitor critical biological parameters. They can be used to detect shape of large body parts and aid in designing prosthetic devices. Tactile sensing in humanoid robots is accomplished by electronic skin of the robot which is a prime example of human–machine interface at workplace.

This paper reviews a unique feature of LAFE in shape sensing of large area objects. It provides insights from mechanical, electrical, hardware and software perspective in the sensor design. The most suitable approach for large object shape sensing using LAFE is also suggested.

Originating in the USA and Northern Europe, Free and Open Source Software (FOSS) found on the internet its fertile environment. In more recent years, FOSS is becoming an increasingly important element in strategies for development and implementation of information and communication technologies also in developing countries. Mainstream research on FOSS has catered to the underlying principles or freedom, open organizational forms, and on its economical aspects. The purpose of this paper is to shed new light on the actual consequences of FOSS, often left in the background.

The paper examines where FOSS principles' assumptions are likely to be more evident: in contexts of developing countries, which are geographically and organizationally far from the original environment of FOSS. A mixed methodology characterizes this work: quantitative and qualitative methods bring readers' attention to unusual empirical settings and downplayed organizational processes of information technology (IT) implementation and adoption.

The consequences of FOSS on IT implementation and actual use are ambivalent. It is argued that FOSS adoption does not happen spontaneously, neither by decree, and that the relevance of open technologies as public goods remains in the different role of local actual technical and organizational capabilities, and environment conditions.

Such a focus complements existing studies on the economical relevance of FOSS, which are not the focus of this paper.

The main purpose of this study is to increase the scholarly understanding of managerial growth aspirations in small firms. Research has shown that managers' aspirations are important to ensure firms' growth, but researchers know less of where their aspirations come from and how variation in these aspirations shapes organizational outcomes. By focusing on two growth strategies of particular importance for small firms – innovation and internationalization – the authors map out how managers' ambitious aspirations may create negative organizational effects and also how they may counteract such effects.

The study employs structural equation modeling (SEM) on a sample of 249 Norwegian small- and medium-sized enterprises (SMEs).

The findings of this study suggest that managerial experience is associated with high aspirations as well as high change effectiveness on the managerial team. The authors find that ambitious growth aspirations are associated with exploration in the form of radical innovation but also lead to reduced employee well-being. Managers' level of perceived change effectiveness, on the other hand, is positively associated with radical innovation and also raises employee well-being.

This study highlights the positive and negative effects of managerial aspirations on different organizational outcomes. Further, it shows that managerial teams working effectively together in the face of change is important for the well-being of employees. Results confirm the positive relationship between aspirations for growth and applied growth strategies in organizations. The data sample is, however, extracted from one country only, and the authors cannot exclude the possibility that findings will be different elsewhere.

To ensure successful growth, managers should combine ambitious aspirations with attention to the top management team's (TMT) experience levels and change effectiveness. Assessment of possible needs for development and adjustments could ensure growth processes with limited negative effects for employee well-being.

By distinguishing between growth through international sales (exploitation) and growth through a more change-intensive strategy of radical innovation (exploration), the authors investigate how variations in managerial aspirations and perceptions influence organizational growth processes. This paper paints a unique picture of how managers can be both the cause and cure of employee well-being in change-demanding situations.

Sensing- and warning-based technologies are widely used in the construction industry for occupational health and safety (OHS) monitoring and management. A comprehensive understanding of the different types and specific research topics related to the application of sensing- and warning-based technologies is essential to improve OHS in the construction industry. The purpose of this paper is to examine the current trends, different types and research topics related to the applications of sensing- and warning-based technology for improving OHS through the analysis of articles published between 1996 and 2017 (years inclusive).

A standardized three-step screening and data extraction method was used. A total of 87 articles met the inclusion criteria.

The annual publication trends and relative contributions of individual journals were discussed. Additionally, this review discusses the current trends of different types of sensing- and warning-based technology applications for improving OHS in the industry, six relevant research topics, four major research gaps and future research directions.

Overall, this review may serve as a spur for researchers and practitioners to extend sensing- and warning-based technology applications to improve OHS in the construction industry.

This study explores the mechanism by which intellectual capital (IC) [i.e. human capital (HC), structural capital (SC) and relational capital (RC)] influences small and medium-sized enterprise (SME) efficiency in the presence of business model innovation (BMI) as a mediator.

Data collection is conducted through a survey completed by 319 owners and top managers of SMEs operating in the manufacturing sector in three cities in Pakistan. A simple random sampling method is used. A structural equation modeling artificial neural network (SEM-ANN)-based approach is applied to evaluate the role of IC predictors. The mediation results are authenticated using PROCESS.

The results indicate that HC, SC and RC significantly influence SME efficiency and BMI. Furthermore, BMI fully mediates the relationship between human capital and SME efficiency, while partially mediating the relationship between structural capital and SME efficiency, as well as between SC and SME efficiency.

This study pioneers research into the link between IC and SME efficiency. It contributes to the literature by defining IC as an antecedent of SME efficiency. It further contributes to the literature by defining IC as an antecedent and BMI as an intervening variable of SME efficiency.

This is a preliminary report about experimentation with new forms of cooperation in seven firms within the Danish metal industry.