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Upon graduating from university, many engineers will work in new product development and/or technology adoption for continuous improvement and production optimization. These jobs require employees to be cognizant of ethical practices and implications for design. However, little engineering coursework, outside the traditional ABET (Accreditation Board for Engineering and Technology) required Engineering Ethics course, accounts for the role of ethics within this process. Because of this, engineering students have few learning opportunities to practice and reflect on ethical decision-making.

This paper highlights one approach to integrating ethics into an engineering course (outside of engineering ethics). Specifically, the study is implemented within a five-week module with a focus on big data ethics, as part of a Supply Chain Management Technology course (required for Industrial Engineering Technology majors), using metacognition as the core assessment.

Four main themes were identified through the qualitative data analysis of the metacognitive reflections: (1) overreliance on content knowledge, (2) time management skills, (3) career connections and (4) knowledge extensions.

Three notable points emerged which contribute to the literature. First, this study showcased one example of how an ethics module can be integrated into an engineering course (other than Engineering Ethics). Second, this study demonstrated how metacognitive reflections can be used to reinforce student self-awareness of the learning process and connections to big data ethics in the workplace. Finally, this study exhibited how metacognitive reflection assignments can be deployed as a teaching and learning assessment tool, providing an opportunity for the instructor to make immediate changes as needed.

Accessibility to entrepreneurial education can be very restrictive because of associated barriers (e.g. add-on course/credit cost and prolonged duration) that prevent students from gaining entry into learning experiences. This study aims to provide an approach to address the gap of inaccessibility. This study proposes the integration of entrepreneurially minded coursework into aviation coursework using information literacy (IL) exercises by incorporating readings, videos, student-centered online discussions and student-facilitated presentations.

Students participated in an intervention consisting of five entrepreneurially minded online discussions where they watched a video or read an article and then responded to a series of questions. Upon completion of the intervention, participants completed a survey related to student learning outcomes and satisfaction.

The results from this study provide insight into changes in student perceptions after engaging in IL exercises designed to develop the entrepreneurial mindset. There is evidence that online discussions, journal article critiques and student-facilitated presentations are effective ways to integrate IL into aviation courses to cultivate entrepreneurial mindsets among students.

Several university-based approaches currently exist to help students develop an entrepreneurial mindset, including majors and minors in entrepreneurship, entrepreneurship coursework and centers for entrepreneurship that offer extracurricular learning experiences. Although these approaches offer a great foundation, they are typically viewed as “extra” with high barriers to entry. The limited focus on integration into coursework (whereby everyone gets an opportunity) prevents equitable access to a larger contingent of students. Therefore, in this study, we propose one approach to integrating the entrepreneurial mindset into coursework.

The National Science Foundation (NSF) Research Experience for Undergraduates (REU) programs are traditionally delivered in-person and full-time (40 h per week) for 10 weeks during the summer. However, this type of format has the potential to limit broader student participation. This study aims to compare learning assessment data between a traditional NSF REU (10 weeks of summer, full-time, in-person) to an alternative NSF REU delivered virtually, part-time and over 10 months as a result of the coronavirus disease 2019 (COVID-19) pandemic.

A retrospective pre-then-post survey was completed to assess perceived learning gains for each REU program. Three learning gains categories were assessed: entrepreneurial competencies, career goals and research skill development. T-tests were used to evaluate a difference in means between pre and post.

Findings show the greatest quantity of learning gains within the alternative program delivery. Moreover, a larger quantity of learning gains was perceived within the first semester of the alternative program delivery compared to the second semester.

The authors propose the NSF should be intentional about trying new approaches to REU programs delivery, including duration and format, as a way to broaden participation in engineering.

This study is original in that it is the first of its kind to assess an alternative REU program delivery (allowed only because of the COVID-19 pandemic) in comparison to traditional REU program delivery.

Innovation and entrepreneurship are economic drivers promoting competition and growth among organizations throughout the world, many of which would not exist without well-established new product development processes coupled with intentional and strategic focus on research and development. New product development processes, such as the lean start-up methodology and design thinking, are well-known and thriving as a result of empirically grounded research efforts. Unfortunately, educational institutions and educational researchers, alike, are lagging when it comes to new program/degree development processes. Although the quantity of new degree offerings has increased substantially over the past several decades (in particular for multidisciplinary, interdisciplinary and transdisciplinary programs), limited research has been conducted to document key procedures associated with the creation of new degree programs. The purpose of this study is to show one approach to how students can be involved within the new program development process.

This approach uses participatory research, wherein students act as researchers and actively participate in the data collection and analysis process. Under the umbrella of participatory research, the study uses photovoice, photoelicitation and focus groups for collecting qualitative data.

Results suggest that students in one transdisciplinary studies in technology program value the following key attributes: learning style (agency and choice, active hands-on learning and real-world applications) and learning context (technology and design-focused assignments, integration of humanities and self-selected disciplines of interest).

Recommendations are provided for various higher education benefactors of the user-generated data, including administration, faculty, marketing, recruitment, advisors and the students themselves.

Investing in Industry 4.0 is an important consideration for manufacturing firms who strive to remain competitive in this global economy, but the uncertainty and complexity of where to focus technology investments is a problem facing many manufacturers. The purpose of this paper is to highlight a region of manufacturing firms in the Midwest USA to investigate the role of firm size, access to funds and industry type on decision to invest in and deploy various Industry 4.0 technologies.

A survey was developed, piloted, and deployed to manufacturing companies located in the Midwest USA, specifically, Indiana, USA. A total of 138 manufacturing firms completed the full survey. The survey participants were requested to rank order the various technology categories with respect to previous historical spending, workforce capabilities and anticipated return on investment. The survey was supplemented with publically available data. Due to the use of rank-order data to identify Industry 4.0 priorities, a non-parametric analysis was completed using the Kruskall Wallis test.

The findings suggest that manufacturers with less than 20 employees and/or less access to funds (sales less than $10m) prioritize digital factory floor technologies (e.g. technology directly impacting productivity, quality and safety of manufacturing processes). Larger manufacturers with 20 or more employees and/or access to more funds (sales greater than or equal to $10m) prioritize enterprise support operations technologies.

Research studies and reports tend to lump manufacturing’s perspective of Industry 4.0 into one homogenous group, and rarely acknowledge the limited participation of “smaller” Small and medium-sized enterprises, which account for the far majority of manufacturing firms in the USA. The value of this study is on the “novelty of approach,” in that the data collection and analysis focuses on heterogeneity of manufacturing firms with respect to size, access to funds and industry type. The findings and recommendations are beneficial and relevant to organizations supporting Industry 4.0 efforts through workforce development and economic development initiatives.

This study analyzes the impact of different types of social capital (structural, relational, cognitive) from different sources (internal and external) generated in electronic social networks on organizational performance.

We test our hypotheses using OLS regression analysis of data obtained from nonprofit organization (NPO) fundraising on a popular online social networking website.

The results provide insights into the multifaceted, complex nature of social capital in electronic environments. We find that electronic social capital does indeed impact organizational outcomes, but that these impacts vary depending on the type of social capital, the type of outcomes, and roles within the social network.

These results clearly indicate the need to further research exploring social capital, in all its forms, within increasingly popular online and electronic social networks. While specifically applicable to NPOs, the findings also provide important insights for a wide variety of organizations.

The purpose of this study is to assess the opportunity for a distributed, networked open biomedical repository (OBR) using a knowledge management system (KMS) conceptual framework. An innovative KMS conceptual framework is proposed to guide the transition from a traditional, siloed approach to a sustainable OBR.

This paper reports on a cycle of action research, involving literature review, interviews and focus group with leaders in biomedical research, open science and librarianship, and an audit of elements needed for an Australasian OBR; these, along with an Australian KM standard, informed the resultant KMS framework.

The proposed KMS framework aligns the requirements for an OBR with the people, process, technology and content elements of the KM standard. It identifies and defines nine processes underpinning biomedical knowledge – discovery, creation, representation, classification, storage, retrieval, dissemination, transfer and translation. The results comprise an explanation of these processes and examples of the people, process, technology and content dimensions of each process. While the repository is an integral cog within the collaborative, distributed open science network, its effectiveness depends on understanding the relationships and linkages between system elements and achieving an appropriate balance between them.

The current research has focused on biomedicine. This research builds on the worldwide effort to reduce barriers, in particular paywalls to health knowledge. The findings present an opportunity to rationalize and improve a KMS integral to biomedical knowledge.

Adoption of the KMS framework for a distributed, networked OBR will facilitate open science through reducing duplication of effort, removing barriers to the flow of knowledge and ensuring effective management of biomedical knowledge.

Achieving quality, permanency and discoverability of a region’s digital assets is possible through ongoing usage of the framework for researchers, industry and consumers.

The framework demonstrates the dependencies and interplay of elements and processes to frame an OBR KMS.