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'Tools' in public management
(2022)
Tools are methods or procedures, and thus operational patterns of action, applied in public administrations to solve standard problems. It is also possible to consider them as structured communication according to professional standards aiming at complexity reduction. Regularly, tools in management stem on a deductive-synoptic rationale offering a seemingly ‘objective’ decision basis. They have a strong formative influence on the organization, regularly also beyond the intended effects. The prominence of tools is sometimes confused with management as such, e.g. introducing tools is mistaken as equivalent to managing for a particular purpose. However, tools have to be closely and carefully managed regarding the objectives and purposes they should serve.
Strategic management is the deliberate engagement of an administration with the challenges of fulfilling its mission and ensuring and improving its ability to act by clarifying measures of success, an understanding of how to influence patterns of action, and organiza-tional learning. In this respect, it is not just about planning, but about an understanding of the emerging strategies of the administration in fulfilling its tasks and the use of opportunities for performance improvement, taking into account stakeholder expectations, resource base and organizational capabilities.
Does personality matter? Is an individual who is open to experience more or less likely to become an entrepreneur? Is it better to score low or high in agreeableness for surviving as an entrepreneur? To the extent that personality captures one part of entrepreneurial abilities, which are usually unobservable, the analysis of traits and personality characteristics helps better understanding such abilities. This chapter reviews research on the relationship between personality and entrepreneurship since 2000 and shows that possessing certain personality characteristics will make it more likely that an individual will start an own business and hire staff. More specifically, with respect to the entry decision, research finds that nearly all so-called Big Five factors as well as several specific personality characteristics influence the entry probability into entrepreneurship. Further, entrepreneurs are more likely to hire, the higher they score in risk tolerance, trust, openness to experience, and conscientiousness. However, different factors such as low scores in agreeableness, the only Big Factor that does not affect entrepreneurial entry, influence entrepreneurial survival. And for some of characteristics that influence entrepreneurial entry, like high scores in the factor openness for experience or in risk tolerance, “revolving door effects” are found, explaining why some entrepreneurs subsequently exit again the market.
Context-aware, intelligent musical instruments for improving knowledge-intensive business processes
(2022)
With shorter song publication cycles in music industries and a reduced number of physical contact opportunities because of disruptions that may be an obstacle for musicians to cooperate, collaborative time consumption is a highly relevant target factor providing a chance for feedback in contemporary music production processes. This work aims to extend prior research on knowledge transfer velocity by augmenting traditional designs of musical instruments with (I) Digital Twins, (II) Internet of Things and (III) Cyber-Physical System capabilities and consider a new type of musical instrument as a tool to improve knowledge transfers at knowledge-intensive forms of business processes. In a design-science-oriented way, a prototype of a sensitive guitar is constructed as information and cyber-physical system. Findings show that this intelligent SensGuitar increases feedback opportunities. This study establishes the importance of conversion-specific music production processes and novel forms of interactions at guitar playing as drivers of high knowledge transfer velocities in teams and among individuals.
Coming back for more
(2022)
Recent spikes in social networking site (SNS) usage times have launched investigations into reasons for excessive SNS usage. Extending research on social factors (i.e., fear of missing out), this study considers the News Feed setup. More specifically, we suggest that the order of the News Feed (chronological vs. algorithmically assembled posts) affects usage behaviors. Against the background of the variable reward schedule, this study hypothesizes that the different orders exert serendipity differently. Serendipity, termed as unexpected lucky encounters with information, resembles variable rewards. Studies have evidenced a relation between variable rewards and excessive behaviors. Similarly, we hypothesize that order-induced serendipitous encounters affect SNS usage times and explore this link in a two-wave survey with an experimental setup (users using either chronological or algorithmic News Feeds). While theoretically extending explanations for increased SNS usage times by considering the News Feed order, practically the study will offer recommendations for relevant stakeholders.
Although mothers and fathers in almost all rich democracies are entitled to some form of paid parenting leave, fathers in particular do not take all the leave available to them. As employers play an important role in the implementation of parenting leave policies, this chapter investigates which workplace characteristics influence mothers' and fathers' uptake of their statutory leave entitlements. In Part 1, we estimate the size of the gap between statutory leave entitlement and leave uptake across genders and countries by combining data from the OECD and the European Labor Force Survey. In Parts 2 and 3, we review the literature on structural, cultural, and normative explanations for the gap in parenting leave uptake. We conclude the chapter with suggestions for further research, including the need for reliable data on the size of the implementation gap and research on non-European countries.
Modeling and Formal Analysis of Meta-Ecosystems with Dynamic Structure using Graph Transformation
(2022)
The dynamics of ecosystems is of crucial importance. Various model-based approaches exist to understand and analyze their internal effects. In this paper, we model the space structure dynamics and ecological dynamics of meta-ecosystems using the formal technique of Graph Transformation (short GT). We build GT models to describe how a meta-ecosystem (modeled as a graph) can evolve over time (modeled by GT rules) and to analyze these GT models with respect to qualitative properties such as the existence of structural stabilities. As a case study, we build three GT models describing the space structure dynamics and ecological dynamics of three different savanna meta-ecosystems. The first GT model considers a savanna meta-ecosystem that is limited in space to two ecosystem patches, whereas the other two GT models consider two savanna meta-ecosystems that are unlimited in the number of ecosystem patches and only differ in one GT rule describing how the space structure of the meta-ecosystem grows. In the first two GT models, the space structure dynamics and ecological dynamics of the meta-ecosystem shows two main structural stabilities: the first one based on grassland-savanna-woodland transitions and the second one based on grassland-desert transitions. The transition between these two structural stabilities is driven by high-intensity fires affecting the tree components. In the third GT model, the GT rule for savanna regeneration induces desertification and therefore a collapse of the meta-ecosystem. We believe that GT models provide a complementary avenue to that of existing approaches to rigorously study ecological phenomena.
From victims to activists
(2022)