Project Leadership Influences Resistance to Change: The Case of the Canadian Public Service

This article analyzes how leadership affects resistance to change in projects. Using Dulewicz and Higgs' (2005) leadership framework in the context of the Canadian Public Service, types of resistance and factors influencing them were listed, leading to the identification of competence areas for the project manager. It was found that an engaging leadership style, developed through proper training, effectively reduced resistance to change. Other factors, such as the inclusion of affected people in the decisions, as well as a formal project management methodology, were instrumental in reducing resistance. Finally, upper management support was identified to be a mandatory success factor.     

Labor‐saving technologies and structural transformation in northern Ghana

Labor‐saving technologies played a fundamental role historically in the structural transformation of agrarian economies. We focus on an emerging labor‐saving trend in Ghana, use of motorized tricycles (MTs), which provide an affordable alternative to manually transferring crops from plots to homestead. A household survey collected in 2017 in northern Ghana is used to shed light on how the time savings made available by using MTs may be converted into activities that enhance agricultural productivity and/or diversify the household away from agriculture. Detailed information collected on the agricultural production and agro‐processing behavior of 1,400 households allows us to examine the above transformative channels. Ordinary least squares and instrumental variable regressions are applied to quantify the effect of MTs on related outcomes. We find households are able to diversify their farming activities into selling processed agricultural goods with the time savings provided through MT adoption. Policies aimed to foster the diffusion of MTs elsewhere in Ghana may expedite structural change and, hence, economic growth.     

Small firms and internationalisation: learning to manage and managing to learn

Small firms contribute significantly to the UK economy, but most research into learning and work features the experience of large organisations. This article focuses on learning and work in small organisations. An interpretive framework relating to organisational learning is derived from the literature. Data on learning in small firms that internationalise are analysed to assess the extent to which models of organisational learning are applicable to the context and challenges they face. The article suggests that the large firm model of learning is inappropriate; the distinctive culture and communication systems of small organisations require different approaches to the acquisition, transmission and interpretation of knowledge. Tacit knowledge, developed through informal learning, is a priority and learning through local business networks is more important than participation in formal programmes. Advocacy of human resource development (HRD) practices based on conventional theories of organisational learning, therefore, may hinder rather than encourage performance in small organisations.     

Firm-Level Influences on Forms of Employment and Pay in Russia

This article examines forms of employment and compensation in a sample of 44 Russian enterprises in 1996. The incidence of employee participation in decision making is highest in employee-owned enterprises. Otherwise, ownership has little impact. Effects of industry, size, resources, and transaction costs are consistent with Western experience. The employment relation in contemporary Russian enterprises is thus not so deeply embedded in institutional influences as to be insensitive to conditions prevailing in individual workplaces.     

Health expenditure models: A comparison using panel data

In this article, we focus on the estimation of outpatient expenditures with panel data. We model the logarithm of expenditures and consider five different models. The first two are two-part and sample selection cross-section models. Two-part panel data models turn out to be inappropriate for dealing with expenditures. We thus estimate sample selection models with panel data: one without a lagged dependent variable and two with a lagged dependent variable. These two latter models differ in their assumptions on the variance of the residuals. Modelling heteroscedasticity may indeed be important to avoid the bias due to the retransformation problem. We show that lagged dependent variables are important factors for heteroscedasticity. For the models with state dependence, we provide a new solution to the initial conditions problem by controlling for generalised residuals. We establish that panel data models highly improve the correlation explained by the model in the time-series dimension without damaging the fit in the cross-section dimension. For all indicators of fit, the model with state dependence and heteroscedasticity seems to dominate the others.     

Proof of concept processes in UK university technology transfer: an absorptive capacity perspective

Successful research commercialisation within the university domain is predicated upon basic research being developed into technology that will attract funding, ultimately resulting in entities such as University spin-out companies or licensing arrangements. This development process involves considerable risk and uncertainty and may require substantial resources to fund early stage operations while returns are uncertain. Hence there is a need to explore risk-minimisation approaches relating to proving the potential for development while concurrently allocating resources in an incremental manner. This paper focuses on the development of the Northern Ireland Proof of Concept (PoC) process within a University Science Park Incubator (USI) as a particular approach to addressing these challenges inherent in the United Kingdom University technology transfer. Furthermore, Absorptive Capacity has emerged in the literature as an appropriate theoretical framework or lens for exploring the development and application of new technology. Therefore, the aim of this paper is to explore the PoC process within a USI as a means for improving the commercialisation of University technology transfer using an Absorptive Capacity perspective. A multiple case analysis of PoC applications within a UK university is described. From the findings it emerges that Absorptive Capacity influencing factors such as levels of R&D investment, prior knowledge base and integration of stakeholder and technology planning all impact on PoC outcomes. In addition a number of process improvement areas for PoC are identified in relation to the influencing factors within the Absorptive Capacity framework.     

Enhancing digital entertainment through personalization: The evolving role of product placements

This research tests a model of the effects of personalized product placements on consumer preference, both for the embedded brand and the digital entertainment product in which that brand is embedded. The latter has yet to be examined in the traditional product placements literature. The results of two studies conducted in the domain of eBooks are presented. Evidence suggests that when pre-existing rankings of brands were systematically collected and used to design personalized product embeds, participants were willing to pay more for the eBook when it contained a favourably (vs. unfavourably) ranked brand, but only when the brand embed was subtle (as opposed to obvious). Study 2 also finds that personalized product placements enhanced consumers’ recall of, and probability of choosing the embedded brand. Results suggest that both the digital entertainment product and the embedded brand can benefit from the strategic use of personalized product placements.