The “human side” of open innovation: The role of employee diversity in firm-level openness

The use of external knowledge for innovation (i.e., inbound or outside-in open innovation) has received substantial attention in the innovation literature. However, the “human side” of open innovation is still poorly understood. We consider the role of employee characteristics with respect to predicting firm-level openness. Drawing on the human capital, learning and creativity literatures, we theorize that knowledge diversity of the firm’s employees is positively associated with employees’ ability to identify and absorb external knowledge, which aggregates to increased firm-level openness—that is, firms’ use of external knowledge in their pursuit of innovation. Based on a combination of three data sources, namely, two survey data sources and register data, we find support for our hypothesis that employees’ educational diversity is positively associated with firm-level openness. However, we find no direct association between employees’ work history diversity and firm-level openness but rather—as also hypothesized—a conditional relationship based on educational background, which implies that diverse work history only has a positive impact at higher levels of educational diversity. To reduce endogeneity concerns, we undertake a series of robustness checks.     

Why are some independent inventors ‘heroes’ and others ‘hobbyists’? The moderating role of technological diversity and specialization

Despite a substantial body of research investigating the market significance of inventions by independent inventors, relatively little attention has been devoted to understanding their technological significance. A recent study conducted by [Dahlin, K., Taylor, M., Fichman, M., 2004. Today's Edisons or weekend hobbyists: technical impact and success of inventions by independent inventors. Res. Policy 33, 1167-1183] on the tennis racket industry shows that independent inventors are a heterogeneous group which includes both “heroes” who contribute substantially to technological progress and “hobbyists” who make only a marginal contribution. What is not asked - and therefore not explained - is why this distinction arises. In this paper, we focus on the type of prior technological knowledge (in terms of technological specialization and diversity) applied by independent inventors and their corporate counterparts as a factor explaining differences in technological impact. Our empirical setting is the field of medical equipment technology. We find that independent inventors are more sensitive to the negative effects of technological diversity than their corporate counterparts. Furthermore, our study reveals that technological specialization pays off more for independent inventors than for their corporate counterparts. Therefore, those independent inventors who apply low degrees of diversity and high degrees of specialization are capable of reaching the same level as or even outperforming their corporate counterparts, thus becoming “heroes”. Based on our findings, we discuss implications for research and corporate practice.     

Family firms and R&D behavior – New evidence from a large-scale survey

This paper analyzes how founders and their families influence R&D intensity. Information on R&D comes from a large-scale, bi-annual survey among listed German firms. We find that R&D intensity is higher in firms that are actively managed by the family. The impact of family control (via voting rights) is negative, but mostly not significant. While this negative family control effect is in line with hitherto existing literature, the positive impact of family management is surprising. Indeed, this positive effect disappears if we follow previous research and use R&D information from financial statements. We show that this puzzling result is related to corporate opacity. Opaque family managed firms report too conservative R&D expenditures, especially if they face financial constraints. This leads to an under-estimation of R&D intensity in these firms if accounting figures are used.     

Political uncertainty and innovation: The relative effects of national leaders’ education levels and regime systems on firm-level patent applications

We explore the effect of political uncertainty on innovation. In particular, we examine the differential effects of two sources of uncertainty – leaders’ education levels and political regimes (i.e., presidential vs. parliamentary) – on patent applications. We posit that firms react to political uncertainty caused by the unexpected departure of a national leader by investing in patents as growth options. The empirical design analyzes a panel with information from over 62 million patent applications at the aggregated applicant level. Results show that leaders’ unexpected departures cause, on average, increases of approximately 9% in the aggregate growth of patent applications. We also find that the leader’s level of education and the country’s political regime system have significant effects on the relationship between political uncertainty and innovation. The difference between leaders with high and low levels of education accounts for 21% of the change in the growth of patent applications. Further, the effect of political uncertainty on innovation is amplified in presidential systems, which grant leaders more power and make electoral transitions less predictable. The differences between presidential and parliamentary systems account for approximately 16% of the change in the growth of patent applications. As a robustness check, we utilized a subsample of more than 170,000 firms with local and foreign patent applications, as well as a panel of over 5700 government non-profits, universities, and hospitals with local patent applications. Consistent with our theory, the former react to political uncertainty by investing in patents, while the latter remain unaffected. We contribute by showing the theoretical mechanisms linking leader and regime characteristics with patent applications.     

The adoption of M-government services from the user’s perspectives: Empirical evidence from the United Arab Emirates

The primary aim of this study is to examine the factors that predict end users’ intention to adopt mobile government (m-government) services in a developing country. The research is based upon a self-administered questionnaire survey of 120 current users’ in the United Arab Emirates (UAE), a leader in m-government development in the Arab world. The study employs advanced statistical techniques to test an extended the Technology Acceptance Model (TAM) by incorporating the determinants of trust, cost, social influence, variety of services, perceived usefulness in information technology and demographic profiles. The findings revealed that trust and social influence are positively associated with end users intention to adopt m-government services in the UAE. By identifying the predictors of users’ adoption of m-government, this study provides several theoretical and practical implications related to m-government service adoption.     

Is firm-specific innovation associated with greater value appropriation? The roles of environmental dynamism and technological diversity

This paper extends the resource-based theory of the firm to examine the contingencies that either intensify or reduce the relationship between firm-specific innovation and value appropriation. Based on a large-scale analysis of a sample of US manufacturing firms, we found that greater innovation rents appropriation is associated with an increase in firm specificity of its innovative knowledge. But the positive relationship between firm-specific innovations and firm value appropriation tends to decrease when the product or technology market is highly dynamic. Further, under high environmental dynamism, firms should increase the diversity in their knowledge composition in order to mitigate the risk of value erosion associated with firm-specific innovations.     

Which firms benefit from investments in green energy technologies? – The effect of energy costs

Firms will invest in green energy technologies only if these investments have an economic pay-off. Based on unique firm-level data from Austria, Germany, and Switzerland, we find that the marginal effect of investments in green energy technologies on productivity is positive only for the 19% of firms with the highest energy costs. These results have major implications for companies and policy makers regarding the design of green energy policies and incentives.     

Clean and productive? Empirical evidence from the German manufacturing industry

In view of the controversial policy debate on “green” growth and corresponding stimulus packages we empirically investigate the production effects of environmental investment as well as of environmental and energy expenditures. Using a panel dataset of German manufacturing sectors our econometric analysis identifies a positive impact of environmental investment on production growth. In contrast, our estimation results cannot support the hypothesis of positive production impacts induced by environmental or energy expenditures. We thus conclude that environmental regulation should in particular stimulate environmental investment in order to be compatible with the pursuit of production growth.     

Exploring the economic value of personal information from firms’ financial statements

Currently personal data gathering in online markets is done on a far larger scale and much cheaper and faster than ever before. Within this scenario, a number of highly relevant companies for whom personal data is the key factor of production have emerged. However, up to now, the corresponding economic analysis has been restricted primarily to a qualitative perspective linked to privacy issues. Precisely, this paper seeks to shed light on the quantitative perspective, approximating the value of personal information for those companies that base their business model on this new type of asset. In the absence of any systematic research or methodology on the subject, an ad hoc procedure is developed in this paper. It starts with the examination of the accounts of a number of key players in online markets. This inspection first aims to determine whether the value of personal information databases is somehow reflected in the firms’ books, and second to define performance measures able to capture this value. After discussing the strengths and weaknesses of possible approaches, the method that performs best under several criteria (revenue per data record) is selected. From here, an estimation of the net present value of personal data is derived, as well as a slight digression into regional differences in the economic value of personal information.     

A commentary on ‘The economic implications of alternative publishing models’

Jay Stone is a final year Ph.D. student based at the Institute of Ophthalmology in London. She is attempting to identify novel therapeutic targets for the treatment of vascular proliferation in retinal disease. She believes that to be effective in the laboratory, scientists need to communicate their work to all audiences. She currently writes articles for the British Society of Cell Biology and BioNews.     

The politics of research and innovation: Understanding instrument choices in complex governance environments – the case of France and Italy

What governments desire to achieve, and how they want to accomplish their goals, represent the core of any policy design process. However, it is still unclear how partisan politics, in its combined effect with path-dependency forces, influence policy makers’ choices over alternative instrument mixes. Through a comparative analysis of Research and Innovation (R&I) instrument choices in countries characterized by different paradigmatic models of policy (Italy and France), the paper investigates how the politics of different cabinets influence the formulation of national R&I strategies and the extent to which these decisions are constrained by the legacy of previous choices. By capitalizing on a new proposed treatment of policy instruments, the paper contributes to the definition of the types of tools found in policy mixes, investigating how national R&I instrument mix variations develop. The results of the analysis indicate how the selection of R&I policy instruments does not closely follow traditional left versus right-wing political cleavages, and their evolution is generally influenced by a combination of different context-dependent dynamics. However, when partisan acceptance of consolidated R&I instrument mixes across cabinets is present, this triggers a consolidating effect on path-dependency forces.     

The effects of the English libel laws on medicine and research – a personal view

Dr Peter Wilmshurst is a consultant cardiologist. He is a leader in his field, and also a whistleblower, drawing attention to that which he believes to be wrong. He was presented with the HealthWatch Award 2003. Peter Wilmshurst has clashed with universities, editors, the medical establishment, and – perhaps inevitably – with the pharmaceutical industry. It is this last encounter that has taken him to court and that has made explicit and very public the relevance of the UK's libel laws to scientific research.     

How patenting informs VC investors – The case of biotechnology

In the presence of asymmetric information, economic agents need to communicate their quality to investors and other parties. This paper investigates how information generated during the patenting process affects the ability of new ventures to attract VC financing. While much of the literature on information asymmetries focuses on patent applications, we argue that the entire examination process should be considered, including information that emerges in the course of patent examination and review. We test several hypotheses using a sample of British and German companies that seek venture capital. We find that the filing of patent applications is positively related to VC financing. Moreover, the examination process at the patent office generates valuable technological and commercial information via search reports, citations and opposition procedures which affect the likelihood of VC financing. Our results suggest that the patenting process supports investors in updating their expectations regarding the quality of new ventures.     

Information and knowledge assessment – Results from a multinational automotive company

This article reports the results from an information and knowledge assessment (IKA) to identify information and knowledge needs and, their coverage by information resources to derive recommendations for improvement and proposes a contingeny framework. The approach is based on a review of audit methods from information sciences and management, knowledge management and the engineering discipline and tested with data (N = 580) collected from the engineering domain within an automotive supplier over six European sites. The integrated assessment uses content needs profiles from two complementary perspectives, the coverage of needs by various internal information sources and data on awareness and usage of these information sources. The employment of content categories on a more granular analytical level than information systems sources opens up new possibilities to derive improvement measures and requirements for the design of information systems within an organization. The brief data-gathering instrument also reduces the required resources to implement this approach considerably overcoming weaknesses previously identified in case studies and the IA literature. It makes a contribution to research bridging the gap between research and practice and opens up options to design contingency frameworks for a specific domain.     

The Characteristic of Hemingway’s The Old Man and The Sea

Ernest Hemingway,a famous American modern writer,who has a high position in the international literature field.The Old Man and the Sea is a great masterpiece