@phdthesis{Weissenberger2017, author = {Weißenberger, Martin}, title = {Start-up subsidies for the unemployed - New evaluation approaches and insights}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-406362}, school = {Universit{\"a}t Potsdam}, pages = {viii, 239}, year = {2017}, abstract = {Start-up incentives targeted at unemployed individuals have become an important tool of the Active Labor Market Policy (ALMP) to fight unemployment in many countries in recent years. In contrast to traditional ALMP instruments like training measures, wage subsidies, or job creation schemes, which are aimed at reintegrating unemployed individuals into dependent employment, start-up incentives are a fundamentally different approach to ALMP, in that they intend to encourage and help unemployed individuals to exit unemployment by entering self-employment and, thus, by creating their own jobs. In this sense, start-up incentives for unemployed individuals serve not only as employment and social policy to activate job seekers and combat unemployment but also as business policy to promote entrepreneurship. The corresponding empirical literature on this topic so far has been mainly focused on the individual labor market perspective, however. The main part of the thesis at hand examines the new start-up subsidy ("Gr{\"u}ndungszuschuss") in Germany and consists of four empirical analyses that extend the existing evidence on start-up incentives for unemployed individuals from multiple perspectives and in the following directions: First, it provides the first impact evaluation of the new start-up subsidy in Germany. The results indicate that participation in the new start-up subsidy has significant positive and persistent effects on both reintegration into the labor market as well as the income profiles of participants, in line with previous evidence on comparable German and international programs, which emphasizes the general potential of start-up incentives as part of the broader ALMP toolset. Furthermore, a new innovative sensitivity analysis of the applied propensity score matching approach integrates findings from entrepreneurship and labor market research about the key role of an individual's personality on start-up decision, business performance, as well as general labor market outcomes, into the impact evaluation of start-up incentives. The sensitivity analysis with regard to the inclusion and exclusion of usually unobserved personality variables reveals that differences in the estimated treatment effects are small in magnitude and mostly insignificant. Consequently, concerns about potential overestimation of treatment effects in previous evaluation studies of similar start-up incentives due to usually unobservable personality variables are less justified, as long as the set of observed control variables is sufficiently informative (Chapter 2). Second, the thesis expands our knowledge about the longer-term business performance and potential of subsidized businesses arising from the start-up subsidy program. In absolute terms, the analysis shows that a relatively high share of subsidized founders successfully survives in the market with their original businesses in the medium to long run. The subsidy also yields a "double dividend" to a certain extent in terms of additional job creation. Compared to "regular", i.e., non-subsidized new businesses founded by non-unemployed individuals in the same quarter, however, the economic and growth-related impulses set by participants of the subsidy program are only limited with regard to employment growth, innovation activity, or investment. Further investigations of possible reasons for these differences show that differential business growth paths of subsidized founders in the longer run seem to be mainly limited by higher restrictions to access capital and by unobserved factors, such as less growth-oriented business strategies and intentions, as well as lower (subjective) entrepreneurial persistence. Taken together, the program has only limited potential as a business and entrepreneurship policy intended to induce innovation and economic growth (Chapters 3 and 4). And third, an empirical analysis on the level of German regional labor markets yields that there is a high regional variation in subsidized start-up activity relative to overall new business formation. The positive correlation between regular start-up intensity and the share among all unemployed individuals who participate in the start-up subsidy program suggests that (nascent) unemployed founders also profit from the beneficial effects of regional entrepreneurship capital. Moreover, the analysis of potential deadweight and displacement effects from an aggregated regional perspective emphasizes that the start-up subsidy for unemployed individuals represents a market intervention into existing markets, which affects incumbents and potentially produces inefficiencies and market distortions. This macro perspective deserves more attention and research in the future (Chapter 5).}, language = {en} } @techreport{SultanowVolkovCox2017, author = {Sultanow, Eldar and Volkov, Denis and Cox, Sean}, title = {Introducing a Finite State Machine for processing Collatz Sequences}, edition = {1st version}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-399223}, year = {2017}, abstract = {The present work will introduce a Finite State Machine (FSM) that processes any Collatz Sequence; further, we will endeavor to investigate its behavior in relationship to transformations of a special infinite input. Moreover, we will prove that the machine's word transformation is equivalent to the standard Collatz number transformation and subsequently discuss the possibilities for use of this approach at solving similar problems. The benefit of this approach is that the investigation of the word transformation performed by the Finite State Machine is less complicated than the traditional number-theoretical transformation.}, language = {en} } @phdthesis{Schiprowski2017, author = {Schiprowski, Amelie}, title = {Four empirical essays on the economics of job search}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-413508}, school = {Universit{\"a}t Potsdam}, pages = {xiii, 209}, year = {2017}, abstract = {Modern welfare states aim at designing unemployment insurance (UI) schemes which minimize the length of unemployment spells. A variety of institutions and incentives, which are embedded in UI schemes across OECD countries, reflect this attempt. For instance, job seekers entering UI are often provided with personal support through a caseworker. They also face the requirement to regularly submit a minimum number of job applications, which is typically enforced through benefit cuts in the case of non-compliance. Moreover, job seekers may systematically receive information on their re-employment prospects. As a consequence, UI design has become a complex task. Policy makers need to define not only the amount and duration of benefit payments, but also several other choice parameters. These include the intensity and quality of personal support through caseworkers, the level of job search requirements, the strictness of enforcement, and the information provided to unemployed individuals. Causal estimates on how these parameters affect re-employment outcomes are thus central inputs to the design of modern UI systems: how much do individual caseworkers influence the transition out of unemployment? Does the requirement of an additional job application translate into increased job finding? Do individuals behave differently when facing a strict versus mild enforcement system? And how does information on re-employment prospects influence the job search decision? This dissertation proposes four novel research designs to answer this question. Chapters one to three elaborate quasi-experimental identification strategies, which are applied to large-scale administrative data from Switzerland. They, respectively, measure how personal interactions with caseworkers (chapter one), the level of job search requirements (chapter two) and the strictness of enforcement (chapter three) affect re-employment outcomes. Chapter four proposes a structural estimation approach, based on linked survey and administrative data from Germany. It studies how over-optimism on future wage offers affects the decision to search for work, and how the provision of information changes this decision.}, language = {en} } @phdthesis{Mahlstedt2017, author = {Mahlstedt, Robert}, title = {Essays on job search behavior and labor market policies}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-397081}, school = {Universit{\"a}t Potsdam}, pages = {252}, year = {2017}, abstract = {Persistently high unemployment rates are a major threat to the social cohesion in many societies. To moderate the consequences of unemployment industrialized countries spend substantial shares of their GDP on labor market policies, while in recent years there has been a shift from passive measures, such as transfer payments, towards more activating elements which aim to promote the reintegration into the labor market. Although, there exists a wide range of evidence about the effects of traditional active labor market policies (ALMP) on participants' subsequent labor market outcomes, a deeper understanding of the impact of these programs on the job search behavior and the interplay with long-term labor market outcomes is necessary. This allows policy makers to improve the design of labor market policies and the allocation of unemployed workers into specific programs. Moreover, previous studies have shown that many traditional ALMP programs, like public employment or training schemes, do not achieve the desired results. This underlines the importance of understanding the effect mechanisms, but also the need to develop innovative programs that are more effective. This thesis extends the existing literature with respect to several dimensions. First, it analyzes the impact of job seekers' beliefs about upcoming ALMPs programs on the effectiveness of realized treatments later during the unemployment spell. This provides important insights with respect to the job search process and relates potential anticipation effects (on the job seekers behavior before entering a program) to the vast literature evaluating the impact of participating in an ALMP program on subsequent outcomes. The empirical results show that training programs are more effective if the participants expect participation ex ante, while expected treatment effects are unrelated to the actual labor market outcomes of participants. A subsequent analysis of the effect mechanisms shows that job seekers who expect to participate also receive more information by their caseworker and show a higher willingness to adjust their search behavior in association with an upcoming ALMP program. The findings suggest that the effectiveness of training programs can be improved by providing more detailed information about the possibility of a future treatment early during the unemployment spell. Second, the thesis investigates the effects of a relatively new class of programs that aim to improve the geographical mobility of unemployed workers with respect to the job search behavior, the subsequent job finding prospects and the returns to labor market mobility. To estimate the causal impact of these programs, it is exploited that local employment agencies have a degree of autonomy when deciding about the regional-specific policy mix. The findings show that the policy style of the employment agency indeed affects the job search behavior of unemployed workers. Job seekers who are assigned to agencies with higher preferences for mobility programs increase their search radius without affecting the total number of job applications. This shift of the search effort to distant regions leads to a higher probability to find a regular job and higher wages. Moreover, it is shown that participants in one of the subsidy programs who move to geographically distant region a earn significantly higher wages, end up in more stable jobs and face a higher long-run employment probability compared to non-participants. Third, the thesis offers an empirical assessment of the unconfoundedness assumption with respect to the relevance of variables that are usually unobserved in studies evaluating ALMP programs. A unique dataset that combines administrative records and survey data allows us to observe detailed information on typical covariates, as well as usually unobserved variables including personality traits, attitudes, expectations, intergenerational information, as well as indicators about social networks and labor market flexibility. The findings show that, although our set of usually unobserved variables indeed has a significant effect on the selection into ALMP programs, the overall impact when estimating treatment effects is rather small. Finally, the thesis also examines the importance of gender differences in reservation wages that allows assessing the importance of special ALMP programs targeting women. In particular, when including reservation wages in a wage decomposition exercise, the gender gap in realized wages becomes small and statistically insignificant. The strong connection between gender differences in reservation wages and realized wages raises the question how these differences in reservation wages are set in the first place. Since traditional covariates cannot sufficiently explain the gender gap in reservation wages, we perform subgroup analysis to better understand what the driving forces behind this gender gap are.}, language = {en} } @phdthesis{Muehlenhoff2017, author = {M{\"u}hlenhoff, Judith}, title = {Culture-driven innovation}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-104626}, school = {Universit{\"a}t Potsdam}, pages = {143}, year = {2017}, abstract = {This cumulative dissertation deals with the potential of underexplored cultural sources for innovation. Nowadays, firms recognize an increasing demand for innovation to keep pace with an ever-growing dynamic worldwide competition. Knowledge is one of the most crucial sources and resource, while until now innovation has been foremost driven by technology. But since the last years, we have been witnessing a change from technology's role as a driver of innovation to an enabler of innovation. Innovative products and services increasingly differentiate through emotional qualities and user experience. These experiences are hard to grasp and require alignment in innovation management theory and practice. This work cares about culture in a broader matter as a source for innovation. It investigates the requirements and fundamentals for "culture-driven innovation" by studying where and how to unlock cultural sources. The research questions are the following: What are cultural sources for knowledge and innovation? Where can one find cultural sources and how to tap into them? The dissertation starts with an overview of its central terms and introduces cultural theories as an overarching frame to study cultural sources for innovation systematically. Here, knowledge is not understood as something an organization owns like a material resource, but it is seen as something created and taking place in practices. Such a practice theoretical lens inheres the rejection of the traditional economic depiction of the rational Homo Oeconomicus. Nevertheless, it also rejects the idea of the Homo Sociologicus about the strong impact of society and its values on individual actions. Practice theory approaches take account of both concepts by underscoring the dualism of individual (agency, micro-level) and structure (society, macro-level). Following this, organizations are no enclosed entities but embedded within their socio-cultural environment, which shapes them and is also shaped by them. Then, the first article of this dissertation acknowledges a methodological stance of this dualism by discussing how mixed methods support an integrated approach to study the micro- and macro-level. The article focuses on networks (thus communities) as a central research unit within studies of entrepreneurship and innovation. The second article contains a network analysis and depicts communities as central loci for cultural sources and knowledge. With data from the platform Meetup.com about events etc., the study explores which overarching communities and themes have been evolved in Berlin's start up and tech scene. While the latter study was about where to find new cultural sources, the last article addresses how to unlock such knowledge sources. It develops the concept of a cultural absorptive capacity, that is the capability of organizations to open up towards cultural sources. Furthermore, the article points to the role of knowledge intermediaries in the early phases of knowledge acquisition. Two case studies on companies working with artists illustrate the roles of such intermediaries and how they support firms to gain knowledge from cultural sources. Overall, this dissertation contributes to a better understanding of culture as a source for innovation from a theoretical, methodological, and practitioners' point of view. It provides basic research to unlock the potential of such new knowledge sources for companies - sources that so far have been neglected in innovation management.}, language = {en} } @phdthesis{Thim2017, author = {Thim, Christof}, title = {Technologieakzeptanz in Organisationen}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-401070}, school = {Universit{\"a}t Potsdam}, year = {2017}, abstract = {Technological change is influencing organisations in their operation. It is used as a means to enhance productivity or to gain momentum on the market. The success of introducing new technologies into the organisation relies heavily on user acceptance. Existing explanations like the Diffusion of Innovation Theory (Rogers, 2003) and the Technology Acceptance Model and its extensions (Davis, 1989; Venkatesh and Davis, 1996; Venkatesh and Davis, 2000; Venkatesh, Morris, et al., 2003) do not address the organisational context sufficiently. Their models concentrate on technology adoption in a non-mandatory environment. Furthermore they do not encompass resistance against a new technology. Hence these models cannot be used to analyse the acceptance and usage decision process within organisations. This thesis therefore aims at investigating the organisational dynamics evoked by the introduction of new technologies with regard to acceptance and usage. More precisely it answers the question, whether different organisation types exert varying influences on their members and produce different patterns of acceptance and usage. The groundwork to achieve this insight is the synthesis and extension of different models of technology acceptance and organisational governance. The resulting model describes the development dynamics within an organisation and model combines two perspectives. On one hand the individual level encompasses socio-psychological aspects and individual decision making processes. This perspective is based on the aforementioned theories of individual acceptance, which are extended with different fit theories (Goodhue and Thompson, 1995; Floyd, 1986; Liu, Lee, and Chen, 2011; Parkes, 2013). Furthermore the resistance to new technology is introduced into the analysis as another possible course of action (Patsiotis, Hughes, and Webber, 2012). The organisational perspective on the other hand embeds the individual acceptance and usage decision into a social context. The interaction between organisation members based on the observation of others and the internalisation of social pressure are introduced as determinants of acceptance and usage. Furthermore organisational governance structures moderate this social influence and specify its impact. The relationship between governance and social influence is elaborated through the application of system theory to the organisational context: Actors like change agents or management use governance media (Luhmann, 1997; Fischer, 2009) to intervene in the individual decisions. The effect of these governance media varies with certain attributes of the organisation. Different coordination mechanisms of organisational configurations (Mintzberg, 1979) provide a link to governance media and their connectivity to individual decision processes. In order to demonstrate the feasibility of model a simulation experiment is conducted in AnyLogic. The validity of the model was tested in a sensitivity analysis. The results from the experiment show a specific acceptance and usage pattern. The acceptance is dropping at first due to the initial frustration. It then recovers and is growing in a bounded manner. Since usage is mandatory in an organisation, it is enforced by the management. This leads to a rapid increase of usage at first and stabilises on different levels during the course of the simulation. It was also found that different organisation configurations produce varying outcomes. The bureaucratic organisation enforces the usage better than any other configuration, leading to a higher usage level. However it fails to produce acceptance. The adhocracy on the other hand reaches a higher acceptance level through mutual adjustment. Its downside is the lack of usage. Furthermore the behaviour is not predictable, which can either lead to mostly positive outcomes or the complete break-down of the diffusion process. The simulation shows that organisations have to decide during the introduction of a new technology whether they want high usage rates fast with the risk of failing in the long term or establish a self-enforcing and sustainable diffusion processes which requires more time to be effective.}, language = {de} } @techreport{SultanowVolkovCox2017, author = {Sultanow, Eldar and Volkov, Denis and Cox, Sean}, title = {Introducing a Finite State Machine for processing Collatz Sequences}, edition = {2nd version}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-404738}, pages = {17}, year = {2017}, abstract = {The present work will introduce a Finite State Machine (FSM) that processes any Collatz Sequence; further, we will endeavor to investigate its behavior in relationship to transformations of a special infinite input. Moreover, we will prove that the machine's word transformation is equivalent to the standard Collatz number transformation and subsequently discuss the possibilities for use of this approach at solving similar problems. The benefit of this approach is that the investigation of the word transformation performed by the Finite State Machine is less complicated than the traditional number-theoretical transformation.}, language = {en} } @phdthesis{Schmierer2017, author = {Schmierer, Christoph}, title = {Technologietransfer und Spillovereffekte ausl{\"a}ndischer Tochterunternehmen in Entwicklungs- und Schwellenl{\"a}ndern}, series = {Potsdam Economic Studies}, journal = {Potsdam Economic Studies}, number = {6}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, isbn = {978-3-86956-398-5}, issn = {2196-8691}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-103988}, school = {Universit{\"a}t Potsdam}, year = {2017}, abstract = {F{\"u}r den Industrialisierungsprozess von Entwicklungs- und Schwellenl{\"a}ndern haben ausl{\"a}ndische Direktinvestitionen (ADI) eine wichtige Funktion. Sie k{\"o}nnen zum einen zu einer Erh{\"o}hung des industriellen Output des Ziellandes f{\"u}hren und zum anderen als Tr{\"a}ger von technologischem Wissen fungieren. Neues Wissen kann den Empf{\"a}ngerl{\"a}ndern der ADI durch Spillovereffekte und Technologietransfers ausl{\"a}ndischer Tochterunternehmen zufließen. Diese Arbeit soll Antworten auf die Fragen geben, durch welche Mechanismen Spillovereffekte und Technologietransfers ausgel{\"o}st werden und wie Entwicklungs- und Schwellenl{\"a}ndern diesen Wissenszufluss zur Beschleunigung ihres Industrialisierungsprozesses einsetzen k{\"o}nnen. Hierf{\"u}r wird ein Konzept zur F{\"o}rderung von Spillovereffekten entwickelt. Weiterhin wird ein theoretisches Modell entwickelt, in dem der Technologietransfer ausl{\"a}ndischer Exportplattformen erstmals in Abh{\"a}ngigkeit des Anteils der Vorprodukte, die im Gastland nachgefragt werden, untersucht. In den Fallstudien Irland und Malaysia werden die Ergebnisse des theoretischen Modells sowie des entwickelten Konzepts illustriert.}, language = {de} } @phdthesis{Wagner2017, author = {Wagner, Mario}, title = {Industrie 4.0 und demografische Entwicklung aus strukturationstheoretischer Sicht}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-412230}, school = {Universit{\"a}t Potsdam}, pages = {235}, year = {2017}, abstract = {Das Ziel der Arbeit ist die Entwicklung eines heuristischen Bezugsrahmens zur Erkl{\"a}rung der Komplexit{\"a}t im Kontext von Industrie 4.0 und der demografischen Entwicklung aus strukturationstheoretischer Sicht. Dabei sind in Bezug auf die zuk{\"u}nftig zu erwartenden kognitiven Anforderungen an die Besch{\"a}ftigten die Fragen essentiell, vor welchen Herausforderungen Unternehmen bez{\"u}glich der Einstellung und dem Verhalten sowie dem Erfahrungswissen der Besch{\"a}ftigten stehen und welche L{\"o}sungsans{\"a}tze sich im Umgang mit den Herausforderungen in der Praxis bisher als hilfreich erweisen. In Kapitel 1 erfolgt zun{\"a}chst die Beschreibung der Ausgangslage. Es werden die Begriffe Industrie 4.0 und demografische Entwicklung inhaltlich diskutiert und in einen theoretischen Zusammenhang gebracht. In Kapitel 2 erfolgt die theoretische Fundierung der Arbeit. Dabei wird eine strukturationstheoretische Sicht auf Unternehmen als soziotechnische Systeme eingenommen. Durch diese „nicht deterministische" Sichtweise wird ein prozessualer Blick auf den Wandlungsprozess in Unternehmen geschaffen, der es m{\"o}glich macht, die Besch{\"a}ftigten als aktiv handelnde Akteure im Sinne von „organisieren" zur Erkl{\"a}rung m{\"o}glicher Zusammenh{\"a}nge zwischen Industrie 4.0 und der demografischen Entwicklung mit einzubeziehen. Der soziotechnische Systemansatz und die Strukturationstheorie bilden in diesem Sinne den „Kern" des zu entwickelnden heuristischen Bezugsrahmens. Die inhaltliche Gestaltung des theoriebasierten heuristischen Bezugsrahmens erfolgt in Kapitel 3 und Kapitel 4. Kapitel 3 beschreibt ausgew{\"a}hlte Aspekte zuk{\"u}nftiger Anforderungen an die Arbeit, die durch eine systematische Aufbereitung des derzeitigen Forschungsstandes zu Industrie 4.0 ermittelt wurden. Sie bilden die „Gestaltungsgrenzen", innerhalb derer sich je nach betrieblicher Situation unterschiedliche neue oder ge{\"a}nderte Anforderungen an die Besch{\"a}ftigten bei der Gestaltung von Industrie 4.0 ableiten lassen. In Kapitel 4 werden ausgew{\"a}hlte Aspekte menschlichen Handelns am Beispiel {\"a}lterer Besch{\"a}ftigter in Form zweier Schwerpunkte beschrieben. Der erste Schwerpunkt betrifft m{\"o}gliche Einflussfaktoren auf die Einstellung und das Verhalten {\"a}lterer Besch{\"a}ftigter im Wandlungsprozess aufgrund eines vorherrschenden Altersbildes im Unternehmen. Grundlage hierzu bildete die Stigmatisierungstheorie als interaktionistischer Ansatz der Sozialtheorie. Mit dem zweiten Schwerpunkt, den ausgew{\"a}hlten handlungstheoretischen Aspekten der Alternsforschung aus der Entwicklungspsychologie, wird eine Lebensspannenperspektive eingenommen. Inhaltlich werden die komplexit{\"a}tsinduzierten Faktoren, die sich aus handlungstheoretischer Perspektive mit der Adaptation von {\"a}lteren Besch{\"a}ftigten an ver{\"a}nderte {\"a}ußere und pers{\"o}nliche Lebensbedingungen besch{\"a}ftigen, systematisiert. Anschließend wird auf Grundlage der bisherigen theoretischen Vor{\"u}berlegungen ein erster theoriebasierter Bezugsrahmen abgeleitet. Kapitel 5 und Kapitel 6 beschreiben den empirischen Teil, die Durchf{\"u}hrung teilstrukturierter Interviews, der Arbeit. Ziel der empirischen Untersuchung war es, neben der theoretischen Fundierung den theoriebasierten heuristischen Bezugsrahmen um Praxiserfahrungen zu konkretisieren und gegebenenfalls zu erg{\"a}nzen. Hierzu wurde auf Grundlage des theoriebasierten heuristischen Bezugsrahmens mittels teilstrukturierter Interviews das Erfahrungswissen von 23 Experten in pers{\"o}nlichen Gespr{\"a}chen abgefragt. Nachdem in Kapitel 5 die Vorgehensweise der empirischen Untersuchung beschrieben wird, erfolgt in Kapitel 6 die Beschreibung der Ergebnisse aus der qualitativen Befragung. Hierzu werden aus den pers{\"o}nlichen Gespr{\"a}chen zentrale Einflussfaktoren bei der Gestaltung und Umsetzung von Industrie 4.0 im Kontext mit der demografischen Entwicklung analysiert und in die {\"u}bergeordneten Kategorien Handlungskompetenzen, Einstellung/ Verhalten sowie Erfahrungswissen geclustert. Anschließend wird der theoriebasierte heuristische Bezugsrahmen durch die {\"u}bergeordneten Kategorien und Faktoren aus den Expertengespr{\"a}chen konkretisiert und erg{\"a}nzt. In Kapitel 7 werden auf Grundlage des heuristischen Bezugsrahmens sowie der Empfehlungen aus den Experteninterviews beispielhaft Implikationen f{\"u}r die Praxis abgeleitet. Es werden Interventionsm{\"o}glichkeiten zur Unterst{\"u}tzung einer positiven Ver{\"a}nderungsbereitschaft und einem positiven Ver{\"a}nderungsverhalten f{\"u}r den Strukturwandel aufgezeigt. Hierzu geh{\"o}ren die Anpassung des F{\"u}hrungsverhaltens im Wandlungsprozess, der Umgang mit der Paradoxie von Stabilit{\"a}t und Flexibilit{\"a}t, der Umgang mit Altersstereotypen in Unternehmen, die Unterst{\"u}tzung von Strategien zu Selektion, Optimierung und Kompensation sowie Maßnahmen zur Ausrichtung von Aktivit{\"a}ten an die Potenzialrisiken der Besch{\"a}ftigten. Eine Zusammenfassung, ein Res{\"u}mee und ein Ausblick erfolgen abschließend in Kapitel 8.}, language = {de} }