Extending private‐collective innovation: a case study

The private‐collective innovation model proposes incentives for individuals and firms to privately invest resources to create public goods innovations. Such innovations are characterized by non‐rivalry and non‐exclusivity in consumption. Examples include open source software, user‐generated media products, drug formulas, and sport equipment designs. There is still limited empirical research on private‐collective innovation. We present a case study to (1) provide empirical evidence of a case of private‐collective innovation, showing specific benefits, and (2) to extend the private‐collective innovation model by analyzing the hidden costs for the company involved. We examine the development of the Nokia Internet Tablet, which builds on both proprietary and open source software development, and that involves both Nokia developers and volunteers who are not employed by the company. Seven benefits for Nokia are identified, as are five hidden costs: difficulty to differentiate, guarding business secrets, reducing community entry barriers, giving up control, and organizational inertia. We examine the actions taken by the management to mitigate these costs throughout the development period.     

Why makers make what they make: motivations to contribute to open source hardware development

Open source software (OSS) and hardware (OSH) are two expressions of one broader concept and its related movement. One of the most fundamental questions relating to these phenomena is why developers contribute their private resources to these public goods. While this question has been discussed, theorized, and empirically investigated in the context of OSS, there has been no research so far in the context of OSH. Can we really assume the motivations behind the development of the OSH to be the same as those behind OSS? Based on the self-determination theory (SDT), we provide original insights into the motivations behind contributions to OSH development. We collected data from the most common and active 3D printing communities, which are the main loci of OSH development. We thus have a unique cross-sectional data set with participants from over 30 different countries using all kinds of different OSH platforms. Our analysis reveals several important findings: firstly, the motivations are in some aspects very similar to those in open source software notwithstanding different possibilities, hurdles, and incentives regarding the OSS and OSH. Above all, enjoyment-based intrinsic motivation is a major factor affecting contribution levels. Secondly, among internalized extrinsic motivations, expected private benefits through improving own skills stands out. Thirdly, different factors of internalized extrinsic motivations can have different moderating effects on the effect of enjoyment-based intrinsic motivation. Given the imminent changes in business models throughout manufacturing industries in order to adapt to the challenge that OSH will increasingly pose, our findings have important implications not only for OSH communities and 3D development platforms, but also for businesses that want and probably soon have to engage in open innovation.     

Local Energy Markets*

In current power markets, the bulk of electricity is sold wholesale and transported to consumers via long-distance transmission lines. Recently, decentralized local energy markets have evolved, often as isolated networks based on solar generation. We analyze strategic pricing, investment, and welfare in local energy markets. We show that local energy markets yield competitive equilibrium prices and provide efficient investment incentives. Yet, we find that strategic behavior leads to allocative inefficiency. We propose a clearing mechanism that induces truth-telling behavior and restores first-best welfare.     

Is the diversification discount caused by the book value bias of debt?

We analyze whether the diversification discount is driven by the book value bias of corporate debt. Book values of debt may be a more downward biased proxy of the market value of debt for diversified firms, relative to undiversified firms, as diversification leads to lower firm risk. Thus, measures of firm value based on book values of debt undervalue diversified firms relative to focused firms. Our paper complements recent literature which uses market values to test the risk reduction hypothesis for a subsample of firms for which debt is traded. Alternatively, we employ market value of debt estimates for the whole firm universe. Consistent with the above hypothesis, we show that the use of book values of debt underestimates the value of diversified firms. There is no discount for mainly equity financed firms and lower distress risk and equity volatility for diversified firms. More concentrated ownership increases firm valuation.     

The effectiveness of tax incentives in attracting investment: panel data evidence from the CFA Franc zone

In this paper we investigate to what extent tax incentives are effective in attracting investment in Sub-Saharan Africa. We test the neo-classical investment theory prediction that tax incentives, by lowering the user cost of capital, raise investment. Next to tax incentives, we also estimate the impact on investment of other investment climate variables that are under direct control of the government, such as the transparency and complexity of the tax system, and the legal protection of foreign investors. In developing countries these variables might be as important as or even more important than the tax variables themselves.     

Temporary Agency Work and Firm Competitiveness: Evidence from German Manufacturing Firms

This paper addresses the relationship between the utilization of temporary agency workers by firms and their competitiveness measured by unit labor costs, using a rich, newly built, dataset of German manufacturing enterprises. We conduct the analysis by applying different panel data models while taking the inherent selection problem into account. Making use of dynamic panel data models allows us to control for firm‐specific fixed effects as well as for potential endogeneity of explanatory variables. The results indicate an inverse U‐shaped relationship between the extent that temporary agency workers are used and the competitiveness of firms.     

Aligning the Mindset and Capabilities within a Business Network for Successful Adoption of Smart Services

This paper explores the synchronized change of mindset and capability within a business network that is driven by the adoption and provision of smart services. The research is implemented as an empirical multi‐case study, and the primary data include interviews and observations in seven globally operating firms. The findings identify two categories of barriers and three categories of alignment needs to successful adoption of smart services. The study combines the institutional theory and dynamic capability perspectives to make three main contributions to the research of service innovation for an improved understanding of the determinants of successful field‐level adoption of smart services. The results show that firms need to align the change of logic and capabilities within the organization and the business network to succeed in the adoption of smart services.     

Generalized confidence intervals for process capability indices in the one-way random model

The method of generalized confidence intervals is proposed as an alternative method for constructing confidence intervals for process capability indices under the one-way random model for balanced as well as unbalanced data. The generalized lower confidence limits and the coverage probabilities for three commonly used capability indices were studied via simulation, separately for balanced and unbalanced cases. Simulation results showed that the generalized confidence interval procedure is quite satisfactory both in the balanced and unbalanced cases. Examples are provided to illustrate the results.     

A Meta‐Analysis of General and Partial Equilibrium Simulations of Trade Liberalisation under the Doha Development Agenda

Model‐based simulation of welfare effects is commonly used to make a case for trade liberalisation and to inform participants and stakeholders in trade negotiations. However, the simulated welfare effects of trade liberalisation vary greatly, even across studies that model similar liberalisation scenarios. This undermines confidence in the reliability of model‐based simulations. A meta‐analysis of over 100 studies that model WTO Doha Development Agenda trade negotiation outcomes is employed to identify characteristics of models, databases and liberalisation experiments that influence simulated welfare effects. Meta‐regressions produce plausible results and explain a significant proportion of the variation in simulated welfare effects in a representative sample of Doha Development Agenda trade liberalisation studies. Results also reveal that many quantitative trade policy simulation studies fail to adequately document the assumptions and data on which they are based.