Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one...
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Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one...
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Reports des European Forecasting Network (EFN)
Reports des European Forecasting Network (EFN) Das European Forecasting Network...
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IWH-FDI-Mikrodatenbank
IWH-FDI-Mikrodatenbank Die IWH-FDI-Mikrodatenbank (FDI = Foreign Direct Investment)...
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CompNet Database
The CompNet Competitiveness Database The Competitiveness Research Network (CompNet)...
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Executives with Customer Experience and Firm Performance in the B2B Context
Yiwei Fang, Cong Feng, Iftekhar Hasan, Jiong Sun
European Journal of Marketing,
Nr. 7,
2021
Abstract
Purpose:
This paper aims to examine the presence of an executive with customer experience (ECE) in a supplier firm’s top management team (TMT). The role of ECE presence remains understudied in the marketing literature. This study attempts to examine the relationship between ECE presence and firm performance.
Design/methodology/approach:
This paper draws on the resource-based view of the firm and adopts a panel firm fixed effects estimator to test the proposed hypotheses. The empirical analysis uses a sample of 1,974 firm-year observations with 489 unique supplier firms. Selection-induced endogeneity is mitigated through the Heckman procedure.
Findings:
ECE presence improves firm performance. Additionally, firms benefit less from ECE presence if a board member with customer experience (BCE) is also present, if a chief executive officer commands a higher pay slice (compared to other executives), and if a TMT is more functionally diversified. However, ECE presence is particularly beneficial if the overall economy is in contraction. Comparing the functional positions held by ECEs reveals that ECE in the marketing function (as a chief marketing officer) offers the largest benefit to an average supplier firm. ECE presence is also associated with other firm outcomes (e.g. bankruptcy odds, innovation and customer orientation).
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Living with Lower Productivity Growth: Impact on Exports
Filippo di Mauro, Bernardo Mottironi, Gianmarco Ottaviano, Alessandro Zona-Mattioli
IWH-CompNet Discussion Papers,
Nr. 1,
2018
Abstract
This paper investigates the impact of sustained lower productivity growth on exports, by looking at the role of the productivity distribution and allocative efficiency as drivers of export performance. It follows and goes beyond the work of Barba Navaretti et al. (2017), analysing the effects of productivity on exports depending on the dynamics of allocative efficiency. Low productivity growth is a well-documented stylised fact in Western countries – and possibly a reality likely to persist for some time. What could be the impact of persistent sluggish growth of productivity on exports? To shed light on this question, this paper examines the relationship between the productivity distribution of firms and sectoral export performance. The structure of firms within countries or even sectors matters tremendously for the nexus between productivity and exports at the macroeconomic level, as the theoretical and empirical literature documents. For instance, whether too few firms at the top (lack of innovation) or too many firms at the bottom (weak market selection) drives slow average productivity at the macro level has very different implications and therefore demands different policy responses.
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R&D Cooperation with Scientific Institutions: A Difference-in-difference Approach
Gunnar Pippel, V. Seefeld
Economics of Innovation and New Technology,
Nr. 5,
2016
Abstract
Economists and business managers have long been interested in the impact of research and development (R&D) cooperation with scientific institutions on the innovation performance of firms. Recent research identifies a positive correlation between these two variables. This paper aims to contribute to the identification of the relationship between R&D cooperation with scientific institutions and the product and process innovation performance of firms by using a difference-in-difference approach. In doing so, we distinguish between two different types of scientific institutions: universities and governmental research institutes. For the econometric analyses, we use data from the German Community Innovation Survey. In total, data from up to 560 German service and manufacturing firms are available for the difference-in-difference analyses. The results suggest that R&D cooperation with universities and governmental research institutes has a positive effect on both product innovation and process innovation performance of firms.
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Taking the First Step - What Determines German Laser Source Manufacturers' Entry into Innovation Networks?
Jutta Günther, Muhamed Kudic, Andreas Pyka
International Journal of Innovation Management,
Nr. 5,
2015
Abstract
Early access to technological knowledge embodied in the industry’s innovation network can provide an important competitive advantage to firms. While the literature provides much evidence on the positive effects of innovation networks on firms’ performance, not much is known about the determinants of firms’ initial entry into such networks. We analyze firms’ timing and propensity to enter the industry’s innovation network. More precisely, we seek to shed some light on the factors affecting the duration between firm founding and its first cooperation event. In doing so, we apply a unique longitudinal event history dataset based on the full population of German laser source manufacturers. Innovation network data stem from official databases providing detailed information on the organizations involved, subject of joint research and development (R&D) efforts as well as start and end times for all publically funded R&D projects between 1990 and 2010. Estimation results from a non-parametric event history model indicate that micro firms enter the network later than small-sized or large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of geographical determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
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