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This article considers the current state of teacher discourse and reflection, situated in daily practice, craft knowledge, multiliteracies and new literacies. Based on studies of content area teachers' use of multiple texts in social studies fields like economics, the authors profile Kenneth, an experienced teacher whose practice is grounded in craft knowledge and ideas about principled practices. In addition, Kenneth is an active proponent of new and digital literacy practices in his classroom simulations. The case example of Kenneth is then used to suggest how the process of practical argument might offer other content area teachers a useful framework for teacher reflection based on teachers’ craft knowledge and principled practices.

Discretizing the magnetic vector potential formulation of eddy current problems in space results in an infinitely stiff differential algebraic equation system that is integrated in time using implicit time integration methods. Applying a generalized Schur complement to the differential algebraic equation system yields an ordinary differential equation (ODE) system. This ODE system can be integrated in time using explicit time integration schemes by which the solution of high-dimensional nonlinear algebraic systems of equations is avoided. The purpose of this paper is to further investigate the explicit time integration of eddy current problems.

The resulting magnetoquasistatic Schur complement ODE system is integrated in time using the explicit Euler method taking into account the Courant–Friedrich–Levy (CFL) stability criterion. The maximum stable CFL time step can be rather small for magnetoquasistatic field problems owing to its proportionality to the smallest edge length in the mesh. Ferromagnetic materials require updating the reluctivity matrix in nonlinear material in every time step. Because of the small time-step size, it is proposed to only selectively update the reluctivity matrix, keeping it constant for as many time steps as possible.

Numerical simulations of the TEAM 10 benchmark problem show that the proposed selective update strategy decreases computation time while maintaining good accuracy for different dynamics of the source current excitation.

The explicit time integration of the Schur complement vector potential formulation of the eddy current problem is accelerated by updating the reluctivity matrix selectively. A strategy for this is proposed and investigated.

A systematic literature review (SLR) was used to identify and analyze literature related to use of system dynamics (SD) applications in organizational performance measurement (PM) research. The purpose of this article is to present the results of a thematic analysis (TA) conducted to synthesize existing empirical evidence, investigate trends and evaluate developments in the research area.

A SLR was conducted resulting in a dataset of 97 articles in this research area. Using TA, major themes/subthemes were inductively synthesized to explore the current development and emerging trends and provide guidance for future research.

The TA resulted in seven themes in the research area – Enhancing knowledge, Approaches to operationalizing PM systems, Utilizing simulation models, Improving organizational outcomes, Achieving strategic alignment, Applying systems thinking and Identifying critical variables. The analysis suggests that although SD has the potential to improve PM systems, there are many limitations and challenges that must be addressed to improve implementation and practical applications. In addition, the results showed that much of the work is exploratory and many fail to fully validate their models suggesting that this research is still in an relatively early phase of development.

The results of this study are limited to the 97 articles identified using the SLR protocol. Although the search was designed to be comprehensive, there may be other relevant literature that was excluded. Further, the TA was limited to addressing the research questions.

A key insight for managers is that these tools would support decision-makers in understanding performance behaviors and identifying performance drivers for improvement. This suggests that stakeholders can adopt the approach to improve understanding and effectiveness of PM, and to enhance strategic decision-making.

This study provides a distinct and thorough analysis of this research area by conducting an inductive synthesis of developments and challenges and guidance for future research and practice. The resulting thematic model, identified code definitions and proposed framework of strategies to overcome challenges, provide a general overview and resource to support future studies in the research area and facilitate practical use of SD capabilities to support PM.

The purpose of this paper is to examine how upstream social marketing can benefit from using social media commentary to identify cognitive biases. Using reactions to leading media/news publications/articles related to climate and energy policy in Australia, this paper aims to understand underlying community cognitive biases and their reasonings.

Social listening was used to gather community commentary about climate and energy policy in Australia. This allowed the coding of natural language data to determine underlying cognitive biases inherent in the community. In all, 2,700 Facebook comments were collected from 27 news articles dated between January 2018 and March 2020 using exportcomments.com. Team coding was used to ensure consistency in interpretation.

Nine key cognitive bias were noted, including, pessimism, just-world, confirmation, optimum, curse of knowledge, Dunning–Kruger, self-serving, concision and converge biases. Additionally, the authors report on the interactive nature of these biases. Right-leaning audiences are perceived to be willfully uninformed and motivated by self-interest; centric audiences want solutions based on common-sense for the common good; and left-leaning supporters of progressive climate change policy are typically pessimistic about the future of climate and energy policy in Australia. Impacts of powerful media organization shaping biases are also explored.

Through a greater understanding of the types of cognitive biases, policy-makers are able to better design and execute influential upstream social marketing campaigns.

The study demonstrates that observing cognitive biases through social listening can assist upstream social marketing understand community biases and underlying reasonings towards climate and energy policy.

This paper aims to assess the representation of women of color (WOC) in the top 3 fashion magazines and explore the implications of underrepresentation within marketing communications. The authors draw from diffusion theory and marketplace omission and commission to situate the research focus and highlight its application to the study findings.

A content analysis was conducted on 481 cover models on the top three fashion magazines of 2018 – Vogue, Cosmopolitan and Vanity Fair during 2006–2018.

The findings indicate WOC are underrepresented despite the strides of inclusion in the marketplace in America during a postracial period. Representation is as follows: white – 412 (86%); black – 41 (9%); Latina – 19 (3.9%); biracial 7 (1.5%); Asian – 1 (0.2%); and Native American – 1 (0.2%). Latina models had the lowest representation. Native and Asian women were completely excluded. When they do appear, black and Latina cover models are more likely than white models to be shown wearing sexually suggestive attire.

This study makes four recommendations to promote antiracism in marketing: diversify staff hiring and editorial decision-makers for public-facing talent; solicit counsel from multicultural marketing agencies; create antiracist marketing curriculum; and cultivate a pipeline of diverse talent for future hiring.

The originality of this paper centers its contribution to the dearth research investigating representation implications within the fashion marketing industry during an alleged post-racial period, and a longer time span. It also presents structured antiracist marketing solutions to mitigate underrepresentation.

The high rate of internet penetration has led to the proliferation of social media (SM) use, even at the workplace, including academia. This research attempts to develop a topology and thereby determine the dominant use motive for faculty’s use of SM.

In this two-part study, a two-stage research design has been adopted for topology development based on the application of Uses and Gratifications Theory. In the second part, the Technology Acceptance Model is applied to discern the dominant motive for SM use in academia.

The work is able to develop a seven-item topology, conforming to the basic three use motives, namely, hedonic, utilitarian and social. The work shows faculty attach more value to the instrumental utility of SM, while the hedonic function is also significant.

Discerning dominant motive implies that SM use at the workplace should not be banned, rather effective regulated use will instil the faculty to enhance work outcomes. The conceptualisation of topology for SM use in academia at the workplace can aid in designing an effective organisation policy, and design of an internal SM platform.

The study is unique towards topology development for academic faculty and has many important implications for management and academia, especially towards policy design for SM use at the workplace.