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The purpose of this paper is to show that lesson study by including elements from music and music education can sustainably expand and improve the dialogical space for teaching and learning in higher education, especially for primary and secondary teacher education students.

For the first time under the topic “Lesson Study: Music in Dialogue,” corresponding study programs were prepared at the University College of Teacher Education, Lower Austria. The data material from which answers to research questions can be generated are the “Didactic Design Pattern” and classical research lesson planning, observation and discussion instruments. Moreover, discussion protocols of the reflection meetings offered insights the participants gained through sharing their experience of a series of lesson study cycles including focussed collaboration between mentors, teachers, teacher education students and primary school pupils.

Within the lesson study groups, the space for cooperation and dialogue widened considerably and the interest in the work and expertise of each other increased. Based on the principles of a “community of practice,” this study shows the positive effects of professional collaboration on primary and secondary teacher education students and a lasting impact on their pupils’ learning. Thereby, the dialogical principle was found to play a central and important role. In connection with music- and art-related processes, previous limitations in teaching and learning with music can be exceeded for pupils, teacher education students and teachers.

This study, therefore, provides new insights into questions of organization and implementation, as well as scientific and didactic support in professional learning communities.

So far, there has been little practitioner research through lesson study in the field of music education. In particular, lesson study enhancing the cooperation between music education and other subject areas through dialogical-integrative work has brought about knowledge and insights of great importance for the further development of an appropriate didactic approach in dialogic music education.

The purpose of this paper is to analyze message features of fear appeals in current British road safety campaigns directed against mobile phone use while driving and to discuss barriers to explicit theory use in campaign message design.

This message-centred research takes a qualitative content analytical approach to analyze nine British web-based road safety campaigns directed against mobile phone use while driving based on the extended parallel process model. Message content and message structure are analyzed.

There still exists a gap between theory and road safety campaign practice. The study reveals that campaigns with fear appeals primarily use threatening messages but neglect efficacy-based contents. Severity messages emerge as the dominant content type while self-efficacy and response efficacy are hardly represented. Fear appeal content in the threat component was mainly communicated through the mention of legal, financial and physical harm, whereas efficacy messages communicated success stories and encouragement. As regards message structure, the threat component always preceded the efficacy component. Within each component, different patterns emerged.

To enhance efficacy in campaigns directed against distracted driving and to reduce the gap between theory and practice, social marketers should include messages that empower recipients to abstain from mobile phone use while driving. Campaigns should show recommended behaviours and highlight their usefulness and effectiveness.

This paper adds to limited research conducted on effect-independent message properties of fear appeals. It enhances understanding of fear appeal message features across the structure and content dimension. By discussing barriers to explicit theory use in social marketing practice and offering practical implications for social marketers, it contributes towards reducing the barriers to explicit theory use in campaign message design.

The International Network of Research Management Societies (INORMS) celebrated its 20^th anniversary in 2021. It was established to increase communication among research management societies. The need for a formal international research management community developed because there was (1) increased international funding of research, (2) the number of international research collaborations was growing, and (3) there was a need to understand research regulations in other countries. INORMS sought to address these issues through international congresses and by providing a forum for member societies to work more closely together on common issues. Membership in INORMS steadily increased over the years. The 20^th anniversary meeting was highlighted with the signing of the Hiroshima Statement that described a research manager’s principles and responsibilities, which include collegiality, inclusiveness, professionalisation, innovation, and accountability. This chapter summarises the factors that led to the formation of INORMS and its history.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

This study aims to explore the antecedents that generate value co-destruction, the negative outcomes resulting from interactive value formation, in the sharing economy context, particularly taxi services. The focus of the study is on customers’ Uber reviews that are written in English and posted online. Three keywords, “bad”, “terrible” and “awful”, were used to capture online narratives linked to customers’ negative experiences with Uber. Out of the 758 online reviews, 75 negative reviews were analysed in this study.

A grounded theory approach was used for data analysis.

Two distinct themes resulted in value co-destruction: Uber drivers’ bad behaviour and poor customer service. The managerial implications include that Uber clearly should invest more resources to minimise the negative experiences of its customers by clearly defining the taxi drivers’ tasks and responsibilities. In addition, when customers report their dissatisfaction, they should be dealt with promptly and effectively through good customer service.

First, the netnography study, by its nature, was restricted to those customers who shared their reviews online. The study did not consider those customers who have not posted their reviews online. Second, the focus of the study was on customer reviews that were written in English. Third, only three keywords (“bad”, “terrible” and “awful”) were used in the data selection process, limiting the number of review posts (75) that were analysed in this study. In addition, even if this study does not produce statistically generalizable findings, the findings are valuable in an analytical sense.

From a managerial perspective, Uber clearly should invest more in resources to minimise the negative experiences of its customers (both domestic customers and tourists) by clearly defining the taxi drivers’ tasks and responsibilities. If the drivers’ tasks are unclear, then customers cannot be served in an effective manner and with consistent service quality. The taxi drivers, regardless of their full-time or part-time work shifts, should ensure that quality services are offered to customers. Providing high-quality service might reduce the number of complaints and result in positive comments and compliments.

This study addresses the gap in previous literature by examining customers’ negative experiences during the overall service encounter and antecedents of value co-destruction in the context of Uber. This study contributes to a better understanding of value co-destruction within the sharing economy.

Crisis services personnel are frequently deployed around the globe under highly demanding conditions. This raises the need to better understand the deployment process and more especially, sustainable reintegration after deployment. Despite recent research efforts, the study of the post-deployment stage, more specifically the reintegration process, remains fragmented and limited. To address these limitations, this review aims at (1) describing how reintegration is conceptualised and measured in the existing literature, (2) identifying what dimensions are associated with the reintegration process and (3) identifying what we know about the process of reintegration in terms of timing and phases.

Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) protocol, the authors identified 5,859 documents across several scientific databases published between 1995 and 2021. Based on predefined eligibility criteria, 104 documents were yielded.

Research has primarily focused on descriptive studies of negative individual and interpersonal outcomes after deployment. However, this review indicates that reintegration is dynamic, multi-sector, multidimensional and dual. Each of its phases and dimensions is associated with distinct challenges.

To the authors’ knowledge, this is the first research that investigates reintegration among different crisis services and provides an integrative social-ecological framework that identifies the different dimensions and challenges of this process.

This paper examines in detail how the use of storytelling with parallax technology can influence the user experience (UX) in online shops as well as brand- and behavior-relevant variables. Furthermore, this study analyzes the causal relationships between UX, brand attitudes and brand-related behavioral intentions in terms of purchase intention and price premiums. Explicit and implicit paths of human information processing are considered.

A sample of 266 respondents completed a web-based experiment under two conditions (text-based vs parallax storytelling online shop). An existing and operational online shop was used. The causal relationships were assessed by using partial least squares structural equation modeling (PLS-SEM). To measure implicit information processing, a single category implicit association test was applied.

By applying the storytelling technique with parallax scrolling, the online shop increased visitors' UX on explicit and implicit information processing levels and increased the online shop's overall perceived attractiveness. Storytelling with parallax motion enables an efficient transmission of brand-related associations to consumers' minds, enhances their explicit and implicit brand attitudes and increases their willingness to pay a higher price. Moreover, this study provides empirical evidence on the effects of UX on brand-related measures by applying PLS-SEM and thus reveals a causal chain of effects from UX on online shop attractiveness, brand attitude and behavioral intentions. Again, explicit and implicit perceptions were considered.

Science and practice are increasingly emphasizing that storytelling emotionalizes content, which facilitates effective communication and builds strong relationships with customers. Little evidence exists about its efficient implementation in an online shopping context and in fulfilling hedonic and pragmatic needs throughout the online journey. This study provides novel insights into managing online shoppers' UX, brand-related perceptions and behavioral intentions with the optimal use of techniques to implement storytelling. Furthermore, this is one of the first studies to holistically consider the human perception of online shops by drawing on theories and methods of psychology, marketing, consumer behavior, brand research and consumer neuroscience and considering explicit and implicit information processing in terms of hedonic and pragmatic UX and brand-related measures.

This study aims to analyze and compare the relationship between international trade in global value chains (GVC) and greenhouse gas (GHG) emissions for Brazil and China from 2000 to 2016.

The input-output method apply to multiregional tables from Eora-26 to decompose the GHG emissions of the Brazilian and Chinese productive structure.

The data reveals that Chinese production and consumption emissions are associated with power generation and energy-intensive industries, a significant concern among national and international policymakers. For Brazil, the largest territorial emissions captured by the metrics come from services and traditional industry, which reveals room for improving energy efficiency. The analysis sought to emphasize how the productive structure and dynamics of international trade have repercussions on the environmental dimension, to promote arguments that guide the execution of a more sustainable, productive and commercial development strategy and offer inputs to advance discussions on the attribution of climate responsibility.

The metrics did not capture emissions related to land use and deforestation, which are representative of Brazilian emissions.

Comparative analysis of emissions embodied in traditional sectoral trade flows and GVC, on backward and forward sides, for developing countries with the main economic regions of the world.

The internationalization of United States higher education has been described as a “two-way street” where students arrive at knowledge transfer. That transfer occurs through a curriculum deemed “unidirectional” with no relevance to local issues or needs and results in limited application and educational colonialism perceptions. Specific to leadership education, the extant literature presents implications of neglect to cultural contexts traditionally reflected in the curriculum within a host nation. We used an explanatory mixed methods design for this study to investigate the degree to which undergraduate Western-based leadership studies courses taught in China reflect the notion of “neocolonialism” by prioritizing Western interests and values.

While the study’s quantitative results reveal cultural differences in leadership education concepts, the qualitative follow-up phase finds students’ appreciation in the utility of leadership concepts and knowledge gained from the leadership curriculum. Students could cite specific situations in which they employed leadership concepts acquired from their respective leadership courses.