Introducing OMOV: The Labour Party–Trade Union Review Group and the 1994 Leadership Contest

Most scholars conclude that the introduction of one member, one vote (OMOV) into the electoral college that chooses the Labour leader demonstrates a new, reduced role for the party's affiliated trade unions. This article examines the adoption of OMOV by Labour. It looks at discussions in the Labour party–trade union review group that moulded the decision to adopt OMOV during 1992–1993. Drawing on the full breakdown of results, it goes on to examine the outcome of the 1994 leadership contest. The distribution of votes, union by union, indicates that, contrary to the conventional view, trade union leaderships retained the capacity to shape the pattern of voting through their ability to nominate candidates. The article concludes that the introduction of OMOV did not reduce the role of trade union leaderships in Labour's internal affairs in the manner that many scholars have concluded to be the case.     

The Effect of Explicit Communication on pricing: Evidence from the Collapse of a Gasoline Cartel

We study the collapse of collusion in Québec's retail gasoline market following a Competition Bureau investigation, and show that it involved two empirical regularities: high margins, and asymmetric price adjustments. Using weekly, station‐level prices we test whether collusion was successful, and whether asymmetric adjustments were part of the cartel's strategy. We do so in the markets targeted by the investigation, and in markets throughout the province with similar pre‐collapse pricing (cyclical markets). Our results suggest that stations in both target and cyclical markets adjusted pricing following the announcement: margins fell (by 30%/15% in target/cyclical markets), and adjustments became more symmetric.     

Timing the Start of Material Substitution Projects: Creating Switching Options under Volatile Material Prices

Firms developing new products often face the challenge of making investment decisions under uncertain input–cost conditions due to the price volatilities of the materials they use. These decisions need to be made long before the final products are launched on the market. Therefore, firms that invest in the opportunity to switch materials in a timely manner will have the flexibility to react to material price changes and realize competitive advantages. However, volatile material prices may also cause a firm to delay investment. Using real‐options reasoning, this paper studies the influence of input‐cost fluctuations on the timing decision to start new product development (NPD) and thus create the follow‐on opportunity to later replace an existing product. A model that combines waiting and switching options to derive influencing factors of the flexibility value that triggers the investment is developed and tested on a sample of material substitution projects from manufacturing firms. The results show how price uncertainty of the new and the old material, their joint price development, the expected project duration, and competitive preemption are related to the propensity to delay the start of NPD. The findings provide new insights on how timing in adopting materials can be used to hedge exposure to volatile material prices. The insights are relevant for adopters and producers of new materials, as well as for policy makers who strive for supporting the diffusion of new materials.     

When Research Meets Development: Antecedents and Implications of Transfer Speed

This paper focuses on the organization of new product development in large, R&D‐intensive firms. In these firms, research and development activities are often separated. Research is conducted in dedicated research projects at specialized research labs. Once research results are achieved by research projects, they are transferred to business units for further development and commercialization. We investigate the speed whereby research projects transfer their first research results to business units (hereafter: transfer speed). In particular, we analyze the antecedents and performance implications of transfer speed. Based on data of 503 research projects from a European R&D intensive manufacturing firm, our results suggest that a fast transfer speed (as measured by the time it takes for a research project to develop and transfer its first research result to business units) is associated with a better research performance (as measured by the total number of transfers the research project generates). Moreover, we find that different types of external R&D partners—science‐based and market‐based partners—play distinct roles in speeding up project first research transfers. While market‐based partnerships (i.e., customers and suppliers) generally contribute to a faster transfer of first research results, science‐based partnerships (i.e., universities and research institutions) only speed up first research transfers of technologically very complex projects. Our results also show that early patent filings by research projects accelerate first research transfers.     

The Impact of Employment on Parental Coresidence

We examine the extent to which parents use housing and shared living arrangements as a form of risk‐sharing for their adult children, using detailed data on children and parents in the Health and Retirement Study for 1998–2012. On average, a young man moving from full‐time to nonemployment raises the likelihood of coresiding with a parent by 1.5 percentage points; moving from full‐time employment to being part‐time employed raises the likelihood of coresiding with a parent by 2 percentage points. The implied elasticity of parental coresidence with respect to the son's income is ‐1.1; for daughters, the elasticity is ‐0.5.     

High Leverage and Willingness to Pay: Evidence from the Residential Housing Market

I document a strong correlation between paying the full listing price on homes and borrowing 100% loan‐to‐value. Homebuyers who do both overpay by 2.8% to 3.9% ($4,800 to $6,700) and are 22.7% more likely to have their properties foreclosed within one year. The correlation is not mechanical: there is a discontinuity in the average leverage around the full listing price. The correlation is stronger in areas with a high fraction of financially constrained and unsophisticated residents, and in areas of high past price growth (potentially indicative of buyer optimism).     

Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.     

The impact of earnings pressure on exploratory innovation

While earnings expectation has been shown to determine a firm’s investment decisions, the knowledge about how such expectation influences a firm’s investment horizon for innovation is still blurred. This study therefore addresses this research issue by examining the relationship between earnings pressure and exploratory innovation while investigating the moderating effects of cross‐rival effect and resource availability. By examining high‐tech industrial firms in S&P 1500 from 2000 to 2012, the results indicate that stock analysts, as information intermediaries between innovation firms and the capital market, impose pressure through earnings forecasts on firms’ exploratory innovation. Our findings also reveal that the earnings pressure‐exploratory innovation relationship can be mitigated when its competitors encounter a higher level of earnings pressure. However, a firm’s financial slack shows less significant association to moderate the earnings pressure‐exploratory innovation relationship. Possible explanations for the results in regard to their theoretical and practical implications are discussed in this study.     

R&D Partnerships and Innovation Performance: Can There Be too Much of a Good Thing?

R&D collaboration facilitates the pooling of complementary skills, learning from the partner as well as the sharing of risks and costs. Research therefore stresses the positive relationship between collaborative R&D and innovation performance. Fewer studies address the potential drawbacks of collaborative R&D. Collaborative R&D comes at the cost of coordination and monitoring, requires knowledge disclosure, and involves the risk of opportunistic behavior by the partners. Thus, while for lower collaboration intensities the net gains can be high, costs may start to outweigh benefits if firms perform a higher share of their innovation projects collaboratively. For a sample of 2735 firms located in Germany and active in a broad range of manufacturing and service sectors, this study finds that increasing the share of collaborative R&D projects in total R&D projects is associated with a higher probability of product innovation and with a higher market success of new products. While this confirms previous findings on the gains for innovation performance, the results also show that collaboration has decreasing and even negative returns on product innovation if its intensity increases above a certain threshold. Thus, the relationship between collaboration intensity and innovation follows an inverted‐U shape and, on average, costs start to outweigh benefits if a firm pursues more than about two‐thirds of its R&D projects in collaboration. This result is robust to conditioning market success to the introduction of new products and to accounting for the selection into collaborating. This threshold is, however, contingent on firm characteristics. Smaller and younger as well as resource‐constrained firms benefit from relatively higher collaboration intensities. For firms with higher collaboration complexities in terms of different partners and different stages of the R&D process at which collaboration takes place, returns start to decrease already at lower collaboration intensities.     

Perception evaluation kit: a case study with materials and learning styles

International Journal of Technology and Design Education - Materials are elements that configure our built environment and are key components in design and engineering education. This research aims...