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This chapter analyzes the link between the digital divide, infrastructure regulation, and disaster planning and relief through a case study of the flood in San Jose, California triggered by the Anderson dam’s overtopping in February 2017 and an examination of communication failures during the 2018 wildfire in Paradise, California. This chapter theorizes that regulatory decisions construct social and disaster vulnerability. Rooted in the Whole Community approach to disaster planning and relief espoused by the United Nations and the Federal Emergency Management Agency, this chapter calls for leadership to end the digital divide. It highlights the imperative of understanding community information needs and argues for linking strategies to close the digital divide with infrastructure and emergency planning. As the Internet’s integration into society increases, the digital divide diminishes access to societal resources including disaster aid, and exacerbates wildfire, flood, pandemic, and other risks. To mitigate climate change, climate-induced disaster, protect access to social services and the economy, and safeguard democracy, it argues for digital inclusion strategies as a centerpiece of community-centered infrastructure regulation and disaster relief.

Educational institutions have a special social responsibility to initiate processes of sustainability transformation in society, nevertheless, activities that effectively address students as well as employees are rather moderate. To initiate change alongside strategic and political decisions, this paper aims to present findings of a gamification intervention (hereafter referred to as climate duel), which was implemented in a field study and tested to assess its potential as a supporting and transformative approach in a university context.

A three-month field study was conducted with two universities of applied sciences. The study included an environmental impact analysis of the two participating university departments, the conception and testing of the intervention and associated surveys to evaluate the effectiveness of the intervention in order to and to obtain feedback that would allow the duel to be scaled up at other universities or institutions.

Three hundred seventy-five people took part and saved 2.6 tons of greenhouse gas emissions through their participation in the climate duel and their corresponding behavioural changes. In addition, feedback from the participants yielded positive results in terms of behavioural changes and generated valuable evidence for future implementations. Nevertheless, there is still room for improvement, especially in terms of supporting communication activities that promote social relatedness to motivate each other, share experiences or deal with implementation difficulties in everyday life.

Building on the promising effects of gamification, the study is a showcase for applied science. With the possibility of testing a theory-based intervention in practice, an implementable, effective and scalable measure for universities that helps to accelerate the transformation process is available.

This chapter focusses on analysing the origins and evolution of the SWOT analysis. It explains the drivers and limitations of the conventional SWOT analysis, laying the groundwork for new decision-making models that can aid researchers and practitioners in comprehending both the external landscape and the internal characteristics of a company. This chapter demonstrates how the strengths, weaknesses, opportunities, and threats of the SWOT analysis can be approached dynamically. Conventional SWOT analysis offers only a limited perspective on the environment and employs terminology that can confuse users, hindering their clear understanding of the factors that influence an organisation’s situation. This chapter provides a concise literature review of tools for evaluating quality management, its resources, and the surrounding environment, which serves as a valuable means to grasp the economic and social context within which a firm operates.

In this paper, improvements in reducing transmitted accelerations in a full vehicle are obtained by optimizing the gain parameters of an active control in a roughness road profile.

For a classically designed linear quadratic regulator (LQR) control, the vibration attenuation performance will depend on weighting matrices Q and R. A methodology is proposed in this work to determine the optimal elements of these matrices by using a genetic algorithm method to get enhanced controller performance. The active control is implemented in an eight degrees of freedom (8-DOF) vehicle suspension model, subjected to a standard ISO road profile. The control performance is compared against a controlled system with few Q and R parameters, an active system without optimized gain matrices, and an optimized passive system.

The control with 12 optimized parameters for Q and R provided the best vibration attenuation, reducing significantly the Root Mean Square (RMS) accelerations at the driver’s seat and car body.

The research has positive implications in a wide class of active control systems, especially those based on a LQR, which was verified by the multibody dynamic systems tested in the paper.

Better active control gains can be devised to improve performance in vibration attenuation.

The main contribution proposed in this work is the improvement of the Q and R parameters simultaneously, in a full 8-DOF vehicle model, which minimizes the driver’s seat acceleration and, at the same time, guarantees vehicle safety.

This study aims to examine the effect of sustainability report quality (SRQ) on information risk. This research also aims to examine the effect of SRQ on stock market participation through information risk.

The research sample includes 120 firm-years listed on the Sri Kehati Index period of 2017–2021. The hypothesis test uses firm and industry effect regression analysis. SRQ is measured by the existence of a sustainability committee and external assurance. The information risk is measured by bid-ask spread. Stock market participation is measured by volume of stock trading.

Based on the data analysis, this investigation finds that SRQ reduces information risk. This research also finds that SRQ improves stock market participation by reducing information risk.

First, this examination gives new evidence of SRQ to promote information environment improvement. Second, this examination contributes to providing the role of SRQ in an emerging market, such as Indonesia. Third, this examination contributes to providing the evaluation standard for sustainability reporting quality in Indonesia, since Indonesia has no specific standard for the sustainability report. Fourth, this examination contributes to filling the previous gap.

Investors who can transfer their savings to investments in a well-regulated market benefit not only themselves but also economic development. Hence, it is crucial for fund owners to evaluate their stock market investment decisions. The goal of the study is to understand which model determines the asset returns most efficiently. In this regard, the validity of single and multi-index asset pricing models (capital asset pricing model-CAPM and Fama–French models) has been examined in the Turkish Stock Exchange for 2009–2020, with the quantile regression (QR) approach.

On 18 portfolios comprised of quoted stocks in the Istanbul Stock Exchange 100 (ISE-100/BIST-100), we test the CAPM, the Fama and French three factor model (FF3) and the Fama and French five factor model (FF5). Empirical analyses have been carried out via QR approach regressing the portfolios' average weekly excess returns on risk premium/market factor (Rm-Rf), firm size, book value/market value (B/M), profitability and investments factors. QR estimation has been employed since QR is more effective and provides a better definition of the distribution’s tails.

Our empirical findings have revealed that the average excess weekly returns can be explained more strongly via CAPM. Moreover, Fama and French models are expected to give more reliable result with more data, whereas the market premium would give robust results for the Turkish Capital Market.

Individuals investing in financial assets must find the price model that best fits the market. The return can be approximated in the most appropriate manner using the right variables.

The study differs from other research by comparing the asset pricing models via examining the assets' weekly returns with QR in the Istanbul Stock Exchange 100 (ISE-100).

Journalists moving into corporate communication have for many years been regarded as a move to the “dark side”. This paper turns the lens to explore how trained journalists working as internal communication practitioners due to their journalistic self-concept and skills can contribute to internal communication.

An interview study was conducted with twelve trained journalists working with internal communication in different types of organizations. Three indicators of professionalism, namely autonomy, altruism and expert knowledge, were used as categories to structure the interviews and analysis.

The respondents perceived that their journalistic self-concept and skills helped them identify the employee perspective, write relevant stories and deliver them quickly. Furthermore, their courage and lack of fear of authorities enabled them to challenge decisions made by their senior managers, especially regarding how, what and when to communicate.

The three indicators of the journalist profession, – autonomy, altruism and journalistic knowledge and skills – may help establish internal communication that is relevant, transparent and trustworthy.

Organizations may benefit from building their internal communication around the three indicators of the journalist profession. They could, for example, host independent internal media that present the employees’ perspective and maintain a critical attitude to the organization in a relevant and compelling manner.

Few studies have explored the role of journalists working as internal communication practitioners and their contributions to internal communication.

This paper aims to analyze the extent to which education for sustainable development (ESD) training enhances university teachers’ professional competence and whether it has the same effect in the digital as in the face-to-face format.

A training concept was developed based on the professional action competence model. Between 2018 and 2021, 19 training sessions were conducted with 183 university teachers: ten in face-to-face sessions and nine in the digital format. Questionnaires were administered before and after the training to determine its impact.

Overall, the training proved to be effective. There was a significant increase in professional knowledge and self-efficacy after the training, but there was no change in motivation. The face-to-face and digital formats proved to be equally effective.

The long-term effect of the training could not be determined.

There should be regular ESD training and coaching for university teachers.

There has been little research on the effectiveness of ESD teacher training, and no comparison between the face-to-face and digital approaches exists. It has been possible to train a relatively large number of university teachers from a wide range of subject areas, about two-thirds of whom have had no previous ESD experience.