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The Harry F. Byrd, Jr. School of Business at Shenandoah University engaged in an intense planning process in the fall of 2004. In addition to clarifying its mission and strategic directions, the Byrd School clearly articulated its vision: to become recognized as a provider of individualized business education driven by entrepreneurial thinking, global understanding, and ethical practice. The development of the Institute for Entrepreneurship described in this article is a critical step in actualizing this vision.

Despite the potential for research institutes to advance interdisciplinary research on university campuses, There have been few studies on how interdisciplinary research centres integrate multiple disciplines in practice, how they influence the collaborative behaviours of scientists and how they establish collaborative communities. This study aims to provide a deeper understanding of how interdisciplinary research is being enabled at research institutes and offers signposts for how research institutes can further embed interdisciplinarity within their units.

Within this study, 30 interviews were conducted with leadership and faculty within 4 sustainability research institutes in the USA exploring how research institutes support interdisciplinary research within their units. A thematic analysis on the interview data revealed themes on how research institutes are enabling interdisciplinary research within their organisations and universities.

The study highlights eight themes on how research institutes are, and can further, enable interdisciplinary research within their organisations and universities. Some of the themes are fully implemented within the research institutes, whilst others are more aspirational and highlight where institutes can create additional capability and capacity for interdisciplinary research within their units and universities.

Whilst the study is limited to four major sustainability research institutes the findings will be applicable to all research centres and institutes attempting to create interdisciplinary research environments.

The study will be of particular interest to research institutes and university leadership who wish to cultivate a deeper culture of interdisciplinary research within their organisations.

The advancement of inter- and transdisciplinary research within universities are seen by many academic institutions, expert groups and funding bodies as essential for solving wicked problems and grand challenges facing society. The findings of this paper will help universities increase their capacity for interdisciplinary research.

There are few comparable publications in terms of methodology, approach and focus on research institutes.

This paper aims to describe the “InDO: Institute Demographic Ontology” and demonstrates the InDO-based semiautomated process for both generating and extending a knowledge graph to provide a comprehensive resource for marginalized US graduate students. The knowledge graph currently consists of instances related to the semistructured National Science Foundation Survey of Earned Doctorates (NSF SED) 2019 analysis report data tables. These tables contain summary statistics of an institute’s doctoral recipients based on a variety of demographics. Incorporating institute Wikidata links ultimately produces a table of unique, clearly readable data.

The authors use a customized semantic extract transform and loader (SETLr) script to ingest data from 2019 US doctoral-granting institute tables and preprocessed NSF SED Tables 1, 3, 4 and 9. The generated InDO knowledge graph is evaluated using two methods. First, the authors compare competency questions’ sparql results from both the semiautomatically and manually generated graphs. Second, the authors expand the questions to provide a better picture of an institute’s doctoral-recipient demographics within study fields.

With some preprocessing and restructuring of the NSF SED highly interlinked tables into a more parsable format, one can build the required knowledge graph using a semiautomated process.

The InDO knowledge graph allows the integration of US doctoral-granting institutes demographic data based on NSF SED data tables and presentation in machine-readable form using a new semiautomated methodology.

This paper aims to present a preliminary experimental result on a large-scale experiment on a cyber-physical hybrid discussion support environment in a panel discussion session in an international conference.

In this paper, the authors propose a hybrid (cyber-physical) environment in which people can discuss online and also offline simultaneously. The authors conducted a large-scale experiment in a panel discussion session in an international conference where participants can discuss by using their online discussion support system and by physical communications as usual.

The authors analyzed the obtained date from the following three viewpoints: participants’ cyber-physical attention, keywords cyber-physical linkage and cyber-physical discussion flow. These three viewpoints indicate that the methodology of the authors can be effective to support hybrid large-scale discussions.

Online large-scale discussion has been focused as a new methodology that enable people to discuss, argue and make consensus in terms of political issues, social complex problems (like climate change), city planning and so on. In several cases, the authors found that online discussions are very effective to gather people opinions and discussions so far. Moreover, this paper proposes a hybrid (cyber-physical) environment in which people can discuss online and also offline simultaneously.

There appears to be no empirical-based method in the literature for estimating if an engineering change proposal (ECP) will occur or the dollar amount incurred. This paper aims to present an empirically based approach to address this shortfall.

Using the cost assessment data enterprise database, 533 contracts were randomly selected via a stratified sampling plan to build two regression models: one to predict the likelihood of a contract experiencing an ECP and the other to determine the expected median per cent increase in baseline contract cost if an ECP was likely. Both models adopted a stepwise approach. A validation set was placed aside prior to any model building.

Not every contract incurs an ECP; approximately 80 per cent of the contracts in the database did not have an ECP. The likelihood of an ECP and the additional amount incurred appears to be statistically independent of acquisition phase, branch of service, commodity, contract type or any other factor except for the basic contract amount and the number of contract line item numbers; both of these later variables equally affected the contract percentage increase because of an ECP. The combined model overall bested current anecdotal approaches to ECP withhold.

This paper both serves as a published reference point for ECP withholds in the archival forum and presents an empirically based method for determining per cent ECP withhold to use.

This paper aims to use a data-driven approach to identify the factors and metrics that provide the best indicators of academic attrition in the Korean language program at the Defense Language Institute Foreign Language Center.

This research develops logistic regression models to aid in the identification of at-risk students in the Defense Language Institute’s Korean language school.

The results from this research demonstrates that this methodology can detect significant factors and metrics that identify students at-risk. Additionally, this research shows that school policy changes can be detected using logistic regression models and stepwise regression.

This research represents a real-world application of logistic regression modeling methods applied to the problem of identifying at-risk students for the purpose of academic intervention or other negative outcomes. By using logistic regression, the authors are able to gain a greater understanding of the problem and identify statistically significant predictors of student attrition that they believe can be converted into meaningful policy change.

Mid-stream operation has had a significant role in Hong Kong’s economic development since the 1960s. Prior to the building of container terminals in Hong Kong, cargo was mainly loaded onto and discharged from ocean-going vessels by mid-stream operations and then shipped to Europe and North America. This paper aims to reinforce mid-stream operation is considered a “must” in supporting the substantial growth of maritime industry and strengthening Hong Kong’s role as an entrepôt.

The authors undertake a historical review of the evolution of Hong Kong’s mid-stream operation over the past half-century and investigate the future of mid-stream operation in light of the Hong Kong Special Administrative Region government’s policy of allocating Public Cargo Working Areas through an open auction process. Semi-structured, in-depth interviews are also undertaken in this study.

The emergence of container terminals generated competition for cargo between container terminals and mid-stream operators. In addition, the Hong Kong Special Administrative Region government’s policy of allocating Public Cargo Working Areas to mid-stream operators through an open auction process intensified negative influences on the survival of the mid-stream operation sector.

To date, mid-stream operation has been abandoned nearly everywhere except in Hong Kong. Yet, Hong Kong’s container system has become the most advanced in the world. The authors explain how and why mid-stream operation still plays such a key role in Hong Kong and how to enhance its sustainability. The authors also discuss the academic and managerial implications of their findings.

The purpose of this paper is to investigate how certain characteristics of the university–industry–government collaboration facilitate knowledge creation and management, hence innovation focusing on particularities of the Brazilian scenario.

As a conceptual basis, there are correlations between theories of knowledge management and the Triple Helix, a model referenced to university–industry–government cooperation. The research was conducted through a multiple case study at two National Institutes of Science and Technology (INCTs in Portuguese).

The main results show the importance of participation in the INCT program, as it enables the creation of an organizational structure with the coordinator’s leadership, who directs the flow of knowledge among organizations and stimulates innovation.

The choice of the topic is justified by the lack of studies on the identification and analyses of the main aspects of this type of collaboration in an integrated way.

The purpose of this paper is to assess whether China’s public sector can continue to generate advanced genetically modified (GM) technologies that will be competitive in the market.

The authors investigated all the research teams that have been conducting research projects under the variety development special program. The data collected include detail information on research capacity, research areas, performance, and process of their research projects. Based on the survey data, the authors assessed the innovations and progress of the variety development special program.

Unlike other countries, most GM products in China are developed by public research institutes. There is rising concern on the ability of China’s public sector to continuously generate indigenous GM technology that can compete with multinational companies. The study surveyed 197 research institutes and 487 research teams and found that the GM program in China lacks coordination: researchers do not want to share their research materials with others. Due to the lack of coordination, most of the hundreds of research teams often worked independently in the year 2008-2010. Moreover, the authors found the lack of coordination may be due to the reason that the interests of researchers are not well protected. This paper also provided the recent progress and policy changes of GM program in China, and it found that the efficiency in the later three years improved a lot. In order to establish a competitive national public GM research system, China should continuously consolidate and integrate the upstream, midstream, and downstream activities of the whole GM innovation process. China’s public sector may also need to work more closely with both the domestic and international private sectors.

This paper is a comprehensive analysis on the development of transgenic technology in China. The results of this paper can provide evidence for the dynamic adjustment of the policies in the variety development special program and can also provide reference for the future assessment of the variety development special program.

Aircraft availability (AA) is a key metric for assessing operational readiness. The declining trend in AA is a documented concern for senior Air Force leaders. This paper aims to investigate the components of non-available time and subsequently focuses on the largest and fastest growing category: not mission capable maintenance unscheduled (NMCMU). Then, utilization of aircraft platforms is examined to determine the readiness benefits of increasing available hours.

Stepwise regression is conducted on a data set of 30 aircraft platforms, consisting of 542 observations from 1998 to 2017, to reveal drivers of NMCMU. Next, utilization of aircraft platforms is examined through regression and correlation analysis of aircraft platforms and sorties or hours flown.

Regression analysis reveals drivers of NMCMU include platform type, average age of aircraft, fleet size, breaks and cannibalization. These factors explain 80.6 per cent of the variance in the data set when predicting NMCMU. Additionally, the utilization results show that when more hours are made available, 5 per cent of each new hour is used for flying. Further analysis at the individual platform level finds a strong or moderate correlation between available hours and sorties flown for 93 per cent of the platforms.

Implications from the regression analysis demonstrate there are remedies to increase AA, but many of these remedies may be costly. The utilization analysis expresses the potential readiness benefits of increasing available hours.