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This study aims to contribute to the exploration of inter-disciplinary approaches in higher education for sustainability. It is a reflection on a case study linking students in the arts and sustainability science, through which the inter-disciplinary and problem-solving processes for solving a concrete sustainability challenge were explored.

The case study featured a workshop with students from two educational programmes at Aalborg University, namely, Art and Technology and Environmental Management and Sustainability Science, the latter being an engineering programme and the former part of the humanities. Experience evaluation was based on participant observation, written feedback and the workshop facilitators’ post-event reflections. Data analysis was based on multi-grounded theory, dialectically combining empirical data (through open coding) with relevant emergence theories. Notions of emergence were chosen because the supposed benefit of inter-disciplinarity is the emergence of novel solutions to complex problems. The study investigates the concrete conditions of emergence in educational inter-disciplinary settings.

The workshop led to a successful experience, bringing an art-based approach together with sustainability science for arriving at solutions that neither of the two would have arrived at separately. Based on participant experiences and realisations, five “emergence concepts” are suggested as supportive learning criteria and conditions, namely, “knowledge expansion”, “complementarity”, “disciplinary self-reflection”, “change of practice” and “play”.

The findings and emergence concepts can be an inspiration for creating an effective learning environment supporting the emergence of different forms of knowledge and solution concepts for solving sustainability challenges.

Through a review of historically famous cases and a chronicle of neurotechnology development, this chapter discusses brain structure and brain function as two distinct yet interrelated paths to understand the relative contributions of anatomical and physiological mechanisms to the human brain–behavior relationship. From an organizational neuroscience perspective, the chapter describes over a dozen neuroimaging technologies that are classified under four groupings: morphologic, invasive metabolic, noninvasive metabolic, and electromagnetic. We then discuss neuroimaging variables that may be useful in social science investigations, and we underscore electroencephalography as a particularly useful modality for the study of individuals and groups in organizational settings. The chapter concludes by considering emerging science and novel brain technologies for the organizational researcher as we look to the future.

The essay narrates and analyzes Eugen Dühring’s remotion, i.e. the taking away of his status as Privatdozent, and thereby of his right to teach at a university, by the Prussian Minister of Culture in 1877. After sketching out the background of the University of Berlin, the institution of Privatdozent, and Dühring himself, first, Dühring’s 1875 clash with Adolph Wagner is described, which put him on “probation”. Then, the 1877 scandal is looked at in detail, and the accusations against Dühring by the Faculty of Philosophy – mainly libel and insult – checked against the facts. It is argued that, while there might have been a point in Dühring’s charge of plagiarism against the physicist Helmholtz regarding the first law of thermodynamics, Dühring was generally guilty as charged, and that his remotion was certainly legal. As far as the legitimacy of this harsh measure is concerned, the case is less clear, but in the end, it is claimed that the remotion was legitimate as well.

This study is the first to examine consumer’s neural reaction to different merchandising communication strategies at the point-of-sale (PoS) by applying functional near-infrared spectroscopy (fNIRS). By doing so, the purpose of this study is to extend consumer neuroscience to retail and shopper research.

Two experiments were conducted in which 36 shoppers were exposed to a realistic grocery shopping scenario while their brain haemodynamics were measured using mobile fNIRS.

Results revealed that mobile fNIRS appears a valid method to study neural activation of the prefrontal cortex (PFC) in the field of “shopper neuroscience”. More precisely, results demonstrated that the orbitofrontal cortex (OFC) might be crucial for processing and predicting merchandising communication strategy effectiveness.

This research gives evidence that certain regions of the PFC, in particular the OFC and the dorsolateral prefrontal cortex (dlPFC), are crucial to process and evaluate merchandising communication strategies.

The current work opens a promising new avenue for studying and understanding shopper’s behaviour. Mobile fNIRS enables marketing management to collect neural data from shoppers and analyse neural activity associated with real-life settings. Furthermore, based on a better understanding of shoppers’ perceptual processes of communication strategies, marketers can design more effective merchandising communication strategies.

The study is the first to implement the innovative, mobile neuroimaging method of fNIRS to a PoS setting. It, therefore, opens up the promising field of “shopper neuroscience”.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

This paper aims to examine how direct-to-consumer advertising (DTCA) in terms of endorser selection and message tonality affect patients' self-efficacy, response efficacy, and compliance.

This study employed a 3 (Endorser: physician, patient, or celebrity)×2 (Tonality: supportive vs threatening) experimental design. Subjects were 1,211 people with diabetes from Germany.

First, the study shows that the interaction between message sender and tonality significantly affects all dependent variables such as self-efficacy, response efficacy, and patient compliance. Second, physicians as endorsers work best when they use unfavorable, threatening arguments. The results are significant for all dependent variables such as self-efficacy, response efficacy, and patient compliance. Most surprisingly, patients judge attitude significantly higher if physicians use threatening instead of supportive argumentation. Third, tonality does not play a dominant role for patients as person-based testimonials. Fourth, a celebrity performs best by using a supportive message. With regard to stimulating health outcome (self-efficacy, response efficacy, and patient compliance) the celebrity has a significant impact in the supportive rather than in the threatening condition.

This is the first empirical study that examines the effects of DTCA in terms of endorser selection and message tonality on patients' self-efficacy, response efficacy, and compliance.

This study aims to examine the impact of consumer brand experience on brand love and loyalty toward a favorite tequila brand across Mexico and the USA while advancing marketing strategies to strengthen consumer-brand relationships.

Data were analyzed from 906 respondents (348-USA and 558-Mexico) to assess paths to purchase loyalty and test brand relationship hypotheses using partial least squares.

Analysis revealed that consumers in both markets demonstrated similar paths from tequila experience to brand love and attitude toward their favorite tequila brand. On the contrary, significant differences in the influence of tequila experience on the brand image were evident. Tequila experience did not have a significant difference between markets on purchase loyalty. Attitude toward the tequila brand had a much stronger influence on brand image for the USA compared to Mexican respondents. Finally, brand love’s influence on purchase loyalty differed significantly between the two markets of respondents.

Considering different paths to behavioral brand loyalty across markets enables segmentation strategy development to increase repeat purchase and brand allegiance. Results indicate that the brand's image is a strong influencer of purchase loyalty, suggesting opportunities exist for brand managers to consider unique paths toward purchase loyalty.

This study advances the literature by answering the call for multi-national studies that investigate consumer-brand relationships. Furthermore, the research setting offers insight into consumer-brand relationships and consumption patterns for spirits in a different national context, in this case, the product’s country of origin (Mexico) and its largest market (USA).

This paper aims to present the IZA Evaluation Dataset, a newly created data source allowing for the evaluation of active labor market policies in Germany.

The paper's approach is a description of the sampling and contents of the IZA Evaluation Dataset and an outline of its research potential.

The evaluation of active labor market policies is often confronted with a lack of adequate empirical data. The IZA Evaluation Dataset may serve as a role model for the provision of such data.

The scope of active labor market policy instruments that can be analyzed with the IZA Evaluation Dataset is mainly restricted to measures for unemployed individuals.

In recent years, many countries have opened their administrative databases for evaluation studies. However, information that might be relevant for economic modeling is often absent. The IZA Evaluation Dataset aims to overcome such limitations for Germany by complementing administrative data from the Federal Employment Agency with innovative survey data.