The relative importance of human resource management practices for innovation

Human resource management (HRM) practices are generally expected to stimulate a firm's innovation performance. However, which of these practices really pay off? Based on a unique dataset that includes detailed information for both a firm's innovation activities and a broad set of HRM practices, we find that primarily new workplace organization practices seem to enhance a firm's innovation activities. Flexible practices of working time management and incentive payment schemes show only small effects on both innovation propensity and innovation success. Further training does only affect innovation success, but not innovation propensity. Overall, we find a stronger linkage between HRM practices and innovation propensity than with innovation success. Further, we find that innovation propensity increases, first, with the number of combinations of HRM practices adopted by a firm but not with the number of combinations of HRM practices from different groups of HRM practices adopted by a firm.     

Using the multi-level perspective on socio-technical transitions to assess innovation policy

In recent years a growing literature on socio-technical transitions towards sustainability has emerged. Scholars have explored ways through which configurations of technologies, infrastructures, social practices, institutions and markets can change to fulfil their functions in a more sustainable way. A multi-level perspective (MLP) has been developed to describe and analyse these complex, long-term processes. It has also been used to help design policy for example in the Netherlands. In this paper the MLP is used in a novel way: as a heuristic to ex ante assess policies to stimulate socio-technical transitions. Instead of using it for policy development, the MLP is used here for an assessment of policy. The analysis focuses on a particular policy initiative intended to stimulate the transition to a low carbon economy in the UK: the Carbon Trust. This paper makes two contributions to the socio-technical transitions literature: Conceptually, the paper demonstrates the usefulness of the socio-technical multi-level perspective to analyse policies and assess their likely impact ex ante against the background of theorising about the patterns of large scale, socio-technical change. Empirically, the paper finds that the activities of the Carbon Trust consist of a variety of well targeted ways to stimulate the development of socio-technical niches as well as to change regime practices directly. Nevertheless, the paper argues that this model also faces difficulties in promoting a transition towards a low carbon economy.     

The internal impact of a customs union; Baden and the Zollverein

Tariffs can affect the growth of states. But how do they affect regional growth within states? Using Baden's 1836 entry into the Zollverein, the customs union of German states, I investigate the internal impact of a change in tariffs. With a new data set of regional employment data I demonstrate that the Zollverein had a substantial positive effect. Two market access effects are shown, one follows the standard market access predictions and the second triggers the direct investment by Swiss entrepreneurs in German regions close to their home base. Furthermore occupational change within the crafts sector was shifting labour towards higher taxed occupations and towards the region close to Switzerland.     

Disparitäten in der Entwicklung der Gemeindesteuern

Generally, taxes are the most relevant source of revenue for German municipalities. In the period from 2004 to 2014, tax revenues were growing at remarkable rates. However, statistical analyses show that not all municipalities were benefitting in the same way, and thus state-wide averages are of limited value, since they tend to whitewash inner-state inequality. Disparities are even significant in states with strong economic fundamentals. According to absolute measures, disparities are growing at the national level. This can be explained by a few tax-strong outliers. In contrast, relative inequality remains static. The alarming finding is that intertemporal mobility among municipalities in the allocation of tax revenues is limited, and thus tax-weak municipalities face a cloudy outlook.     

Pre-sale information

In markets as diverse as that for specialized industrial equipment or that for retail financial services, sellers or intermediaries may earn profits both from the sale of products and from the provision of pre-sale consultation services. We study how a seller optimally chooses the costly quality of pre-sale information, next to the price of information and the product price, and obtain clear-cut predictions on when information is over- and when it is underprovided, even though we find that information quality does not satisfy a standard single-crossing property. Buyers who are a priori more optimistic about their valuation end up paying a higher margin for information but a lower margin for the product when they subsequently exercise their option to purchase at a pre-specified price.     

Brand Equity, Consumer Learning and Choice

The aim of this paper is to explore the links between brand equity, consumer learning and consumer choice processes in general and considering two recent trends in the market place: store brands and the Internet. We first review the advances that have occurred in brand equity research in marketing in the past decade, with particular emphasis on integrating the separate streams of research emanating from cognitive psychology and information economics. Brand equity has generally been defined as the incremental utility with which a brand endows a product, compared to its non-branded counterpart. We amplify this definition: we propose that brand equity be the incremental effect of the brand on all aspects of the consumer's evaluation and choice process. We propose an agenda of research based on this amplified definition.     

Making real options work for practitioners: a generic model for valuing R&D projects

We propose a generic valuation framework for the appraisal of R&D projects based on real option theory. The added value of this approach is the presentation of a model that was implemented in a manner that allows corporate decision makers to use real options in an intuitive and standardized way. The project valuation procedure is separated into three main phases: project modeling, data and input collection, and result generation and analysis. The project model represents the structure of the real world R&D project with its investments, expected results, and decisions that need to be taken conditionally on the outcomes of research activities. The project model is represented in the form of a decision tree, where different research results or taken decisions lead to new branches. In this way, every possible situation the project can pass through can be represented. Uncertainties are separated into market uncertainties (e.g., market prices) and project specific, private uncertainties (e.g. uncertainty of research results). For both uncertainties, event trees are constructed which are then combined and merged with the above mentioned decision tree in order to represent the value evolution of the R&D project under given decisions and uncertainties. For every possible state of the project the real option value is calculated. By creating multidimensional trees, a multitude of decision steps and various kinds of real options (e.g., continue, expansion, switch, abandonment) can be modeled. The calculation complexity for the decision trees is given. From the tree structure we can calculate the real option value of starting an R&D project, i.e., the value of undertaking the first investment and thus acquiring the subsequent decision opportunities given by the completion of the first research effort. Furthermore, the optimal exercise strategy is derived from the decision tree. The exercise strategy gives the manager the possibility to have an a priori overview of where an R&D project may lead to, which decisions need to be taken in which circumstances, and when the project needs to be stopped in order not to generate losses. In an in‐depth case study we use an illustrative R&D project to set up and discuss the three phases of project modeling in the real options framework: building the multidimensional decision tree, input generation, and calculation of the real option value as well as the optimal strategy for the R&D project.