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Simulation-based digital twins represent an effort to provide high-accuracy real-time insights into operational physical processes. However, the computation time of many multi-physical simulation models is far from real-time. It might even exceed sensible time frames to produce sufficient data for training data-driven reduced-order models. This study presents TwinLab, a framework for data-efficient, yet accurate training of neural-ODE type reduced-order models with only two data sets.

Correlations between test errors of reduced-order models and distinct features of corresponding training data are investigated. Having found the single best data sets for training, a second data set is sought with the help of similarity and error measures to enrich the training process effectively.

Adding a suitable second training data set in the training process reduces the test error by up to 49% compared to the best base reduced-order model trained only with one data set. Such a second training data set should at least yield a good reduced-order model on its own and exhibit higher levels of dissimilarity to the base training data set regarding the respective excitation signal. Moreover, the base reduced-order model should have elevated test errors on the second data set. The relative error of the time series ranges from 0.18% to 0.49%. Prediction speed-ups of up to a factor of 36,000 are observed.

The proposed computational framework facilitates the automated, data-efficient extraction of non-intrusive reduced-order models for digital twins from existing simulation models, independent of the simulation software.

Nested within institutional theory and the political economy perspective, this study aims to examine Chinese outward foreign direct investments (OFDI)-supporting organizations and fostering mechanisms for its SMEs in Europe’s largest economy, Germany.

The authors conduct a multiple-case study to present rich insights from elite interviews with representatives of Chinese and German governmental organizations, intermediary parties and specialized OFDI consultants. In addition, the authors analyze secondary data such as presentations, websites, brochures, social media and recent Chinese OFDI policies for SMEs. The findings are triangulated by interviewing business owners and senior executives of seven Chinese SMEs that have invested in Germany.

Cooperating with Germany’s federal government, China’s ministries implemented an effective OFDI support network in Germany, which connects and benefits both economies. This includes Chinese governmental organizations, privately-held national champions, German–Chinese business associations and linked intermediary parties. These organizations support SMEs through four main mechanisms: networking and information, mutually beneficial knowledge transfer between innovation partners, lobbying for potential cooperation and an objective picture of Chinese OFDI and facilitating investment services.

This study advances OFDI theory and contributes to the growing discussion on the internationalization of Chinese SMEs by shedding light on China’s OFDI support organizations and mechanisms in the German market. The study also offers practical contributions. Understanding better how governments can spur internationalization is vital, as it determines the effectiveness of policymaking and fosters international mutual understanding, cultural exchange and firm growth and innovation (Ahlstrom, 2010), and hence ultimately contributes positively to society. Moreover, knowing the specific OFDI support organizations and measures China is currently adopting can serve as a helpful orientation for Chinese entrepreneurs who plan to invest in Germany.

Police officer perceptions of their own legitimacy can be important in shaping aspects of their performance and other organizational outcomes. The current study uses person-environment fit theory to assess the effects of value congruence with top managers, immediate supervisors and coworkers on officers' perceptions of self-legitimacy.

The study used a cross-sectional survey of nearly 250 front-line police officers from seven municipal police departments in Michigan, Indiana and Kentucky to examine the effects of perceived value congruence on officers’ self-legitimacy. A hierarchical model of fit is assessed using structural equation modeling.

Findings demonstrate that value congruence positively relates to officers’ reported self-legitimacy, suggesting that officers who perceive greater similarity in values with others in the organization will express more confidence in their authority.

Our findings add to research on police officers’ self-legitimacy, and the use of a hierarchical model of person-environment fit might offer implications for future research on police culture.

The purpose of this study is to explore the impacts coronavirus disease 2019 (COVID-19) had on US police academies’ production of police recruits.

The study used a national online survey of police academy directors in the USA, followed by purposive, semi-structured interviews of select academy directors. A combination of quantitative and qualitative data is combined in a mixed methods approach.

The findings suggest that academies experienced a range of impacts related to COVID-19. These impacts lead to more questions concerning how academies and state-level governing boards responded not only to pandemic-related challenges, but also to their willingness to accept more online and alternative curriculum delivery strategies.

Police academies are a required step in the production of new police recruits in the USA, but researchers have paid little attention to how academies operate. While exploratory, this study provides some insights into how this aspect of policing weathered the COVID-19 pandemic, and offers suggestions for future research, as well as policy implications.

This public-sourced case describes the latest restructuring efforts by Deutsche Bank (DB) and gives a short history of prior restructuring efforts from the decade before. In July 2019, Christian Sewing, the new CEO of DB, announced a series of measures that included, among others, the elimination of global equity trading, the layoff of 18,000 employees, the creation of a “bad bank” to transfer noncore assets, and the suspension of dividends until 2022. The case describes key decisions a bank CEO makes when a bank needs to change course to return to profitability and growth. The case offers an opportunity to debate these key decisions, as well as discuss some of the prior ones during earlier restructuring efforts, and put the students in the CEO's shoes: What would you do and why? The case also describes key banking performance metrics (e.g., ROE, ROA) and other critical variables such as those reflecting capital health (Tier 1 ratio), as well as gives an overview of the bank business model and factors impacting bank profitability and value.

Research on science communication in organizational contexts is scarce – even though many cases can be found where organizations from science and beyond communicate about science-related issues, or where organizational contexts have an impact on the communication of individual scientists and scientific organizations. Therefore, it is time for an “organizational turn” in science communication research, and for more scholarly emphasis on the specific cases that science-related communication in, from and about organizations presents. Such an approximation would benefit both science communication research and analyses of strategic and organizational communication.

This special issue of the “Journal of Communication Management” on “Communicating Science in Organizational Contexts” is a step in this direction: It compiles commentaries from leading scholars in the respective fields as well as research articles coming from various disciplines and conceptual as well as methodological paradigms. In the editorial, we assess overlaps between scholarship on science communication and strategic communication, respectively, based on a meta-analysis of journals in the field(s), develop a guiding heuristic for analyzing science communication in organizational settings, and introduce the contributions to the special issue.

The meta-analysis shows that overlaps between science communication research and scholarship on strategic communication are scarce. While organizations and their communication appear occasionally, and increasingly often, in science communication research, scholars of strategic communication only rarely analyze science communication.

The meta-analysis is limited to the publications of five scholarly journals over ten years. It still demonstrates the lack of research in the intersection of scholarship on science communication and strategic communication.

Scientific organizations are rapidly extending and professionalizing their strategic communication, and an increasing number of organizations beyond science communicate on science or science-related issues. Understanding science communication in organizational settings, therefore, is crucial for practitioners in both areas.

Analyzing science communication in organizational settings is of increasing importance – yet few studies exist that have done it, and the respective research fields devote not much attention to one another. The special issue is a first foray into this new, intersectional field.

In reflective writing, students are encouraged to examine their own setbacks and progress. With a shortage of guidance in how to provide feedback to students on this type of writing, teachers are often left to figure it out on the job. The central hypothesis in this paper is that the lens of reflective practice can help focus teacher efforts and ultimately improve both feedback and instruction. The purpose of this paper is not to produce a universal prescription for assessing reflective writing but rather a protocol for teacher reflective practice that can apply to challenging grading and feedback-giving situations.

Student assessment is a chance for teachers to learn about their students’ abilities and challenges and to provide feedback for improvement. Assessment and grading sessions can also become opportunities for teachers to examine their own instructional and assessment practices. This self-examination process, a cornerstone of reflective practice (Schön, 1984), is challenging, but it may be especially valuable when guidelines for feedback and assessment are hard to come by. Such may be said to be the case in student-centered learning environments such as school Fablabs and makerspaces, where stated goals commonly include cultivating learner self-regulation and resilience. These hard-to-measure constructs are typically assessed through analysis of student reflective journals. This in-depth case study uses mixed-methods to examine how a semester-long intervention affected the grading, feedback and instructional practices of a teacher in a hands-on design classroom. The intervention involved 10 grade-aloud sessions using a computer-based rubric tool (Gradescope) and a culminating card-sorting task. The lens of reflective practice was applied to understanding the teacher’s development of their own reflective capabilities.

During the intervention, the participating teacher grappled with grading and feedback-giving dilemmas which led to clarifications of assessment objectives; changes to instruction; and improved feedback-giving practices, many of which persisted after the intervention. The teacher perceived the intervention as adding both rigor and productive “soul-searching” to their professional practice. Lasting changes in feedback behaviors included a comprehensive rubric and an increase in the frequency, specificity and depth of feedback given to student written work.

Significant prior efforts have been directed separately at the use of reflective practice for teachers, in general, and on the feedback and grading of student process journals. This work combines these lines of inquiry in the reflective classroom assessment protocol, a novel on-the-job professional development opportunity that fosters reflective practice in times of assessment to improve instructional and feedback practices.

Many scholars and practitioners consider development to be as much an institutional and organizational phenomenon as it is an economic one. Among other elements, civil society is a key determinant of a country’s level of social capital. Important links appear to exist between a robust associational milieu and the effective operation of democracy. However, the role of civil society organizations in human development has only recently gained attention.

This study is dedicated to universities' strategic social media communication and focuses on the fan engagement triggered by Facebook postings. The study contributes to a growing body of knowledge that addresses the strategic communication of universities that have thus far hardly dealt with questions of resonance and evaluation of their social media messages.

Using the Facebook Graph API, the authors collected posts from the official Facebook fan pages of the universities listed on Shanghai Ranking's Top 50 of 2015. Specifically, the authors retrieved all posts in a three-year range from October 2012 to September 2015. After downloading the Facebook posts, the authors used tools for automated content analysis to investigate the features of the post messages.

Overall, the median number of likes per 10,000 fans was 4.6, while the number of comments (MD = 0.12) and shares (MD = 0.40) were considerably lower. The average Facebook Like Ratio of universities per 10,000 fans was 17.93%, the average Comment Ratio (CR) was 0.56% and the average Share Ratio (SR) was 2.82%. If we compare the average Like Ratios (17.93%) and Share Ratios (2.82%) of the universities with the respective Like Ratios (5.90%) and Share Ratios (0.45%) of global brands per 10,000 fans, we may find that universities are three times (likes) and six times (shares) as successful as are global brands in triggering engagement among their fan bases.

The content analysis was solely based on the publicly observable Facebook communication of the Top 50 Shanghai Ranking universities. Furthermore, the content analysis was limited to universities listed on the Shanghai Ranking's Top 50. Also, the Facebook posts have been sampled between 2012 and September 2015. Moreover, the authors solely focused on one social media channel (i.e., Facebook), which might restrict the generalizability of the study findings. The limitations notwithstanding, university communicators are invited to take advantage of the study's insights to become more successful in generating fan engagement.

First, posts published on the weekend generate significantly more engagement than those published on workdays. Second, the findings suggest that posts published in the evening generate more engagement than those published during other times of day. Third, research-related posts trigger a certain number of shares, but at the same time these posts tend to lower engagement with regard to liking and commenting.

To the authors’ best knowledge, the automated content analysis of 72,044 Facebook posts of universities listed in the Top 50 of the Shanghai Ranking is the first large scale longitudinal investigation of a social media channel of higher education institutions.

The purpose of this study is to explore the ideological gaps across a range of policing interactions with the public.

In a survey distributed via Mechanical Turk (MTurk) (n = 979), the authors explore the role that respondents' political ideology plays in the agreement of 13 aspects of policing services, their demeanor and decorum.

Attitudes toward policing interactions are slightly positive. Conservatives steadfastly hold positive attitudes about police. Liberals vacillate from negative to positive attitudes across the 13 policing interaction statements.

Although small, there is an ideological consensus that police adequately protect citizens and are knowledgeable about the law.

Even at record lows of public confidence in the police, some subsections of the sample, such as conservatives, firmly hold positive attitudes about police. The unwavering support for police by conservatives continues across the multi-item measure of policing interactions, whereas liberals illustrated less uniformity in their attitudes.