Click on a term to reduce result list
The result list below will be reduced to the selected search terms. The terms are generated from the titles, abstracts and STW thesaurus of publications by the respective author.
462 records from EconBiz based on author Name
1. Catalyzing gender equality : foreign MNC subsidiaries as agents of change in mitigating wage discrimination against women
abstractWage discrimination against women remains a major obstacle to fair economic opportunities for women and a grand challenge constraining economic growth in many countries. Existing research is ambivalent about whether foreign MNC subsidiaries as employers of women offer a solution to this grand challenge. On the one hand, foreign MNC subsidiaries can pay higher wages to women because they are outsiders to the host country and can deviate from social norms that disadvantage women. On the other hand, they suffer from the liabilities of foreignness that limit their attractiveness as employers for women relative to domestic firms. We theorize that the latter factor becomes less important as the level of wage discrimination against women by domestic employers increases, so that foreign MNC subsidiaries become more attractive employers when women change jobs. We isolate two boundary conditions for this effect based on (a) whether women can observe wage premiums at foreign MNC subsidiaries in local labor markets and (b) when foreign MNC subsidiaries deviate from social norms in the labor market by relying more on female top managers than domestic employers. We test and support these hypotheses for 123,343 female professionals/managers who changed jobs in Denmark between 2000 and 2016.
Kaiser, Ulrich; Grimpe, Christoph; Sofka, Wolfgang;2023
Type: Graue Literatur; Non-commercial literature; Arbeitspapier; Working Paper;
Availability:
Link Link 2. Catalyzing Gender Equality: Foreign MNC Subsidiaries as Agents of Change in Mitigating Wage Discrimination against Women
Kaiser, Ulrich; Grimpe, Christoph; Sofka, Wolfgang;2023
Type: Working Paper;
Availability:
3. Creating marketing innovation abroad : the value of marketing professionals in foreign MNC subsidiaries
Kaiser, Ulrich; Sofka, Wolfgang; Grimpe, Christoph;2023
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link
4. The value of publicly available, textual and non-textual information for startup performance prediction
abstractCan publicly available, web-scraped data be used to identify promising business startups at an early stage? To answer this question, we use such textual and non-textual information about the names of Danish firms and their addresses as well as their business purpose statements (BPSs) supplemented by core accounting information along with founder and initial startup characteristics to forecast the performance of newly started enterprises over a five years' time horizon. The performance outcomes we consider are involuntary exit, above{average employment growth, a return on assets of above 20 percent, new patent applications and participation in an innovation subsidy program. Our first key finding is that our models predict startup performance with either high or very high accuracy with the exception of high returns on assets where predictive power remains poor. Our second key finding is that the data requirements for predicting performance outcomes with such accuracy are low. To forecast the two innovation-related performance outcomes well, we only need to include a set of variables derived from the BPS texts while an accurate prediction of startup survival and high employment growth needs the combination of (i) information derived from the names of the startups, (ii) data on elementary founder-related characteristics and (iii) either variables describing the initial characteristics of the startup (to predict startup survival) or business purpose statement information (to predict high employment growth). These sets of variables are easily obtainable since the underlying information is mandatory to report upon business registration. The substantial accuracy of our predictions for survival, employment growth, new patents and participation in innovation subsidy programs indicates ample scope for algorithmic scoring models as an additional pillar of funding and innovation support decisions.
Kaiser, Ulrich; Kuhn, Johan M.;2020
Type: Graue Literatur; Non-commercial literature; Arbeitspapier; Working Paper;
Availability: Link
Link Link 5. The value of publicly available, textual and non-textual information for startup performance prediction
abstractCan publicly available, web-scraped data be used to identify promising business startups at an early stage? To answer this question, we use such textual and non-textual information about the names of Danish firms and their addresses as well as their business purpose statements (BPSs) supplemented by core accounting information along with founder and initial startup characteristics to forecast the performance of newly started enterprises over a five years' time horizon. The performance outcomes we consider are involuntary exit, above-average employment growth, a return on assets of above 20 percent, new patent applications and participation in an innovation subsidy program. Our first key finding is that our models predict startup performance with either high or very high accuracy with the exception of high returns on assets where predictive power remains poor. Our second key finding is that the data requirements for predicting performance outcomes with such accuracy are low. To forecast the two innovation-related performance outcomes well, we only need to include a set of variables derived from the BPS texts while an accurate prediction of startup survival and high employment growth needs the combination of (i) information derived from the names of the startups, (ii) data on elementary founder-related characteristics and (iii) either variables describing the initial characteristics of the startup (to predict startup survival) or business purpose statement information (to predict high employment growth). These sets of variables are easily obtainable since the underlying information is mandatory to report upon business registration. The substantial accuracy of our predictions for survival, employment growth, new patents and participation in innovation subsidy programs indicates ample scope for algorithmic scoring models as an additional pillar of funding and innovation support decisions.
Kaiser, Ulrich; Kuhn, Johan M.;2020
Type: Graue Literatur; Non-commercial literature; Arbeitspapier; Working Paper;
Availability:
Link Link 6. Who founds? : an analysis of university and corporate startup entrepreneurs based on Danish register data
abstractWe compare individuals presently employed either at an university or at a firm from a R&D intensive sector and analyze which of their personal-specific and employer-specific characteristics determine their choice of subsequently founding a startup. Our data set is unusually rich and combines the population of Danish employees with their present employers. We focus on persons who at least hold a Bachelor's degree in engineering, sciences and health and track them over the time period 2001-2012. We show that (i) there are overall little differences between the characteristics of university and corporate startup entrepreneurs, (ii) common factors triggering startup activity of both university and corporate employees are education, top management team membership, previous job mobility and being male, (iii) it is exclusively human capital-related characteristics that affect startup choice of university employees while (iv) the characteristics of the present workplace constitute major factors of entrepreneurial activity.
Kaiser, Ulrich; Kuhn, Johan M.;2019
Type: Graue Literatur; Non-commercial literature; Arbeitspapier; Working Paper;
Availability: Link Link
7. The Effects of Website Provision on the Demand for German Women's Magazines
abstractThe effect of website provision on the demand for German women's magazines is analyzed using differentiated product demand models estimated on panel data that cover the period 1990 2000. Descriptive evidence on the magazines' website contents suggests that websites are used to provide supplementary information and to advertise the current print issue. Website provision does not significantly affect magazines' market shares. This result is robust with respect to the application of alternative econometric approaches to identify the demand model. A counter-factual analysis shows, however, that online magazines would loose around 0.3 per cent in market shares if they went back offline. Likewise, magazines that are currently offline may gain market shares of between 0.07 and 0.37 per cent if they launched a website. Interestingly, some of the potential winners' from going online actually launched a website in 2001
Kaiser, Ulrich;2022
Availability: Link
8. Product Portfolio Size Strategy in Markets for Fast-Moving Consumer Goods : Theory and Evidence
abstractThe optimal number of products to offer consumers constitutes one of the core strategic problems that firms face. While the existing literature has studied this question mainly in markets with long-lived goods, little is known for markets in which firms sell fast-moving consumer goods---i.e., products with frequent and often spontaneous purchases by consumers. We provide a game-theoretic model to analyze how firms choose their product portfolio size in such markets, and empirically test the resulting predictions. We first show theoretically that the interplay between portfolio size and investment in customer satisfaction (e.g., through quality improvements) shapes the strategic effects in these markets. In particular, the two variables can either be strategic complements or substitutes, dependent on market profitability. We then derive novel predictions of how market conditions determine a firm's product variety. Interestingly, a higher customer profitability can lead to a reduced number of products. Instead, an increase in the number of competitors or a larger share of loyal consumers might induce firms to expand their product variety. The intuition is rooted in the fact that e.g. a more profitable market segment induces firms to invest more in customer satisfaction; this implies that fewer consumers switch to a competitive product, thereby lowering the value of a large product variety. We conduct an empirical analysis using data from the German magazine industry, which provides supportive evidence for our predictions. It also shows that portfolio size and investment in customer satisfaction are strategic substitutes in this industry
Kaiser, Ulrich; Reisinger, Markus;2022
Availability: Link Link
Citations: 1 (based on OpenCitations)
9. Innovating for the better? : the role of advocacy group work experience for employee pay
abstractHow valuable is work experience with advocacy groups, e.g. Greenpeace, for new hires of innovative firms? We integrate strategic human capital with stakeholder theory and suggest that this experience creates scarce human capital (knowledge, skills, abilities) facilitating innovations acceptable and legitimate for stakeholders such as regulators or residents. We argue that such human capital is complementary to firm resources and leads to a value surplus. Individuals with advocacy group work experience can subsequently appropriate at least parts of that surplus through higher salaries. Using matched data for 10,303 employees in Denmark, we find that new hires of innovative firms with advocacy group human capital enjoy salary premiums which are stronger in mature and technologically concentrated firms. Our findings have important implications for HR decision making.
Grimpe, Christoph; Kaiser, Ulrich; Sofka, Wolfgang;2018
Type: Graue Literatur; Non-commercial literature; Arbeitspapier; Working Paper;
Availability: Link Link
10. Public funding and corporate innovation
abstractWe review and condense the body of literature on the economic returns of public R&D on private R&D and find that: (i) private returns to R&D appear to be large and larger than the returns to alternative investments; (ii) private R&D and R&D subsidies are positively correlated and there is no evidence for crowding out; (iii) R&D cooperation increases private R&D; (iv) there appear to exist complementarities between alternative sources of funding; (v) the mobility of R&D workers, particularly of university scientists, is positively related to innovation; (vi) there are many university spin-offs but these are no more successful than non-university spin-offs; (vii) universities constitute important collaboration partners and (viii) clusters enhance collaboration, patents and productivity. Key problems for economic policy advice are that the identification of causal effects is problematic in most studies and that little is known about the optimal design of policy measures.
Beck, Mathias; Junge, Martin; Kaiser, Ulrich;2018
Type: Graue Literatur; Non-commercial literature; Arbeitspapier; Working Paper;
Availability: Link Link