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Anti-Consumption
(2019)
Transcending the conventional debate around efficiency in sustainable consumption, anti-consumption patterns leading to decreased levels of material consumption have been gaining importance. Change agents are crucial for the promotion of such patterns, so there may be lessons for governance interventions that can be learnt from the every-day experiences of those who actively implement and promote sustainability in the field of anti-consumption. Eighteen social innovation pioneers, who engage in and diffuse practices of voluntary simplicity and collaborative consumption as sustainable options of anti-consumption share their knowledge and personal insights in expert interviews for this research. Our qualitative content analysis reveals drivers, barriers, and governance strategies to strengthen anti-consumption patterns, which are negotiated between the market, the state, and civil society. Recommendations derived from the interviews concern entrepreneurship, municipal infrastructures in support of local grassroots projects, regulative policy measures, more positive communication to strengthen the visibility of initiatives and emphasize individual benefits, establishing a sense of community, anti-consumer activism, and education. We argue for complementary action between top-down strategies, bottom-up initiatives, corporate activities, and consumer behavior. The results are valuable to researchers, activists, marketers, and policymakers who seek to enhance their understanding of materially reduced consumption patterns based on the real-life experiences of active pioneers in the field.
A large literature exists examining the functions of legislatures and the behaviour of MPs in established democracies. But little efforts have been made to observe how MPs behave in new democratic assemblies. This article seeks to address this shortcoming through an exploration of the use of parliamentary questions in two new democracies: Kenya and Zambia. Analysing an innovative dataset we offer one of the few attempts to directly measure legislative behaviour in new democracies. We examine how the factors found in the literature on parliamentary questions in liberal democracies react to this shift of context and to what degree legislatures in these countries fulfil their core functions. Results show that opposition MPs are not necessarily among the most active but that electoral incentives such as the margin by which MPs have won their seats or the number of voters they represent explain the use and content of parliamentary questions.
The present dissertation investigates profit-maximizing behavior in different phases of the negotiation process. Over the last decades, research dealt in detail with behavior of negotiation actors with the aim of identifying performance enhancing factors. The majority of those studies focused on behavior within the main negotiation phase. This work, however, considers phases which are, so far, underrepresented in research but show an impact on the negotiation process and outcome. Those phases are the pre-negotiation, the first offer, and the main negotiation phase which is further divided by breaks into several rounds. Within these phases, traits of behavior are analyzed that can be used strategically in order to impact the negotiation outcome. The dissertation contains three papers, each one dealing with a specific strategy within one phase. The first paper investigates communication behavior in the pre-negotiation phase. Content analysis of a negotiation experiment shows that the employment of positive communication elements such as the generation of enthusiasm for an upcoming project results in an increase of agreements on entering a negotiation and also leads to a higher willingness to make concessions. The second paper explores the impact of a semantic first anchor, which does not contain a specific number but only gives a numerical direction, on the opponent’s concession behavior and the final outcome. By means of two scenario-based questionnaires and a negotiation experiment it is demonstrated that semantic offers reveal an anchoring effect and lead to better negotiation outcomes. The third paper deals with the introduction of breaks and their effect on the following negotiation process. Therefore, content and outcome of another negotiation experiment are investigated. The analysis shows that breaks evoke a dominant impression but can negatively impact the atmosphere and thereby also the outcome. Finally, the gathered insights are brought together and discussed. The dissertation closes with implications for practice, limitations of the work, and ideas for future research.
The development of new and better optimization and approximation methods for Job Shop Scheduling Problems (JSP) uses simulations to compare their performance. The test data required for this has an uncertain influence on the simulation results, because the feasable search space can be changed drastically by small variations of the initial problem model. Methods could benefit from this to varying degrees. This speaks in favor of defining standardized and reusable test data for JSP problem classes, which in turn requires a systematic describability of the test data in order to be able to compile problem adequate data sets. This article looks at the test data used for comparing methods by literature review. It also shows how and why the differences in test data have to be taken into account. From this, corresponding challenges are derived which the management of test data must face in the context of JSP research.
In this study, we analyze the forecast accuracy and profitability of buy recommendations published in five major German financial magazines for private households based on fundamental analysis. The results show a high average forecast accuracy but with a very high standard deviation, which indicates poor forecast accuracy with regard to individual stocks. The recommendation profitability slightly exceeds the performance of the MSCI World index. Considering the involved risk, which is represented by a high standard deviation, the excess returns appear to be insufficient.
This paper challenges the solely rational view of the scenario technique as a strategy and foresight tool designed to cope with uncertainty by considering multiple possible future states. The paper employs an affordance-based view that allows for the identification and structuring of hidden, emergent attributes of the scenario technique beyond the intended ones. The suggested framework distinguishes between affordances (1) that are intended by the organization and relate to its goals, (2) that emergently generate organizational benefits, and (3) that do not relate to organizational but individual interests. Also, constraints in the use of scenarios are discussed. Affordance theory’s specific lens shows that the emergence of such attributes depends on the users’ specific intentions.
On May 17, 2012, the social networking company Facebook Inc. fixes its initial public offering (IPO) price at $38.00 a share. Over the next couple of months, contrary to expectations raised by previous IPOs, the stock price crashes more than 50 per cent. Immediately, the question arises whether the issuer’s or the stock market’s pricing of the share are in line with the firm’s fundamentals. Thus, the purpose of this paper is to determine the company value in close proximity to the date of IPO.
The paradox of openness is inherent to all platform ecosystems-the tension in enabling maximum openness to create joint innovation while guaranteeing value capturing for all actors. Governance mechanisms to solve this paradox are embedded into the technical architecture of the platform, addressing the dimensions of access, control, and incentives. Blockchain technology offers unique ways to design novel governance mechanisms through the standardization of interactions. However, the design of such an architecture requires careful consideration of the cost associated with it.
The business model has emerged as a construct to understand how firms drive innovation through emerging technologies. It is defined as the ‘architecture of the firm’s value creation, delivery and appropriation mechanisms’ (Foss & Saebi, 2018, p. 5). The architecture is characterized by complex functional interrelations between activities that are conducted by various actors, some within and some outside of the firm. In other words, a firm’s value architecture is embedded within a wider system of actors that all contribute to the output of the value architecture.
The question of what drives innovation within this system and how the firm can shape and navigate this innovation is an essential question within innova- tion management research. This dissertation is a compendium of four individual research articles that examine how the design of a firm’s value architecture can fa- cilitate system-wide innovation in the context of Artificial Intelligence and Block- chain Technology. The first article studies how firms use Blockchain Technology to design a governance infrastructure that enables innovation within a platform ecosystem. The findings propose a framework for blockchain-enabled platform ecosystems that address the essential problem of opening the platform to allow for innovation while also ensuring that all actors get to capture their share of the value. The second article analyzes how German Artificial Intelligence startups design their business models. It identifies three distinct types of startup with dif- ferent underlying business models. The third article aims to understand the role of a firm’s value architecture during the socio-technical transition process of Arti- ficial Intelligence. It identifies three distinct ways in which Artificial Intelligence startups create a shared understanding of the technology. The last article exam- ines how corporate venture capital units configure value-adding services for their venture portfolios. It derives a taxonomy of different corporate venture capital types, driven by different strategic motivations.
Ultimately, this dissertation provides novel empirical insights into how a firm’s value architecture determines it’s role within a wider system of actors and how that role enables the firm to facilitate innovation. In that way, it contributes to both business model and innovation management literature.
Little is known about the conscious experience of internal bodily sensations in preschool-aged children. Given that preschoolers are in the most rapid phase of brain development, and display profound emotional development, it was the aim of the present study to establish an adapted interoceptive accuracy paradigm and to investigate associations between sociodemographic (age, sex) and emotional variables with interoceptive accuracy. Forty-nine children (aged 4–6 years) completed the jumping jack paradigm (JJP), a heartbeat tracking paradigm, which includes a noninvasive physical perturbation via performing jumping jacks for 10 s. An interoceptive accuracy score was based on the comparison between self-reported and objectively recorded heart rate prior to and after completion of jumping jacks. Children also completed validated measures for emotion recognition and emotion regulation. Children's objectively recorded heart rate significantly increased after the JJP by 20 bpm on average. There was a positive relationship between reactivity on self-reported heart rate and objectively recorded heart rate increase. The derived scores for interoceptive accuracy increased with age, suggesting older children to report more self-reported heart rate change than objectively recorded, but were unrelated to children's sex or BMI. While emotion recognition and regulation significantly increased with age, the interoceptive accuracy score was unrelated to emotion recognition, but marginally associated to emotion regulation. Children with higher interoceptive accuracy score (i.e., self-reporting more heart rate change than objectively recorded) received lower emotion regulation score. The present study is the first to depict a novel behavioral paradigm to assess interoceptive accuracy in preschool-aged children.