Bridging the gap between technological possibilities and people:: Involving people in the early phases of technology development

Technology provides endless promising possibilities to support people's lives. In reality, it is not a matter of what is possible, but rather a matter of how and when technology will be integrated, accepted and adopted by people. However, conventionally within organizations the areas of technology development and market research are not closely related nor applied in the process of innovation and do not always share the same scope. In that sense there is a gap between the potential of technology and humankind's preferences.This paper discusses the current areas of technology development and market research in a business environment and proposes an integrated approach to bridge the gap between technology and people, in which people, rather than market sizes become central in the development of technology. In addition, it also describes how this approach of people-driven innovation is brought into practice through the development of early experience demonstrators. The core focus of this paper is on the processes and practices regarding innovation within an organization, rather than the adoption of innovation by users or the rate of the adoption of a marketed solution (Rogers, 1995 [E.M. Rogers, Diffusion of Innovations, The Free Press, New York, 1995. [1]]).     

Comparing Conventional and New Policy Approaches for Carnivore Conservation: Theoretical Results and Application to Tiger Conservation

New policy approaches to facilitate the co-existence of wildlife and livestock are needed for situations where predation incidents greatly impact households’ income and retaliatory killing threatens endangered carnivore species’ survival. In this paper, models are developed to assess how two alternative policy approaches impact a herder’s decisions on carnivore hunting and livestock protection. We find that while the well-established ex-post compensation policy induces suboptimal livestock protection it can generate sufficient incentives for the herder to refrain from hunting so that the carnivore population reaches its socially optimal level. Performance payments are proposed as alternative policy. They are found not to distort livestock protection incentives and can also help achieve a socially optimal carnivore population level. Which of the two scheme types gives rise to less cost is ambiguous. An empirical analysis of the model with data from tiger-livestock conflicts in India is presented.     

Search for good policies in a single-warehouse, multi-retailer system by particle swarm optimisation

An optimal control of sufficiently realistic single-warehouse, multi-retailer systems (SWMR-systems) requires the simulation optimisation approach. After a brief discussion of modelling and simulation aspects for such systems, we present a simulator providing a sufficiently large set of options to customize it to realistic problem situations. The paper then focuses on the applicability of optimisation algorithms and introduces the methods particle swarm optimisation and threshold accepting. We show that both approaches yield good optimisation results for several examples of a 5-retailer system investigated according to their reordering strategy and transportation resources.     

Measuring the effects of geographical distance on stock market correlation

Recent studies suggest that the correlation of stock returns increases with decreasing geographical distance. However, there is some debate on the appropriate methodology for measuring the effects of distance on correlation. We modify a regression approach suggested in the literature and complement it with an approach from spatial statistics, the mark correlation function. For the stocks contained in the S&P 500 that we examine, both approaches lead to similar results. Contrary to previous studies we find that beyond 50 miles geographical proximity is irrelevant for stock return correlations. For distances below 50 miles, we can show that the magnitude of local correlations varies with investor sentiment.     

The future of food demand: understanding differences in global economic models

Understanding the capacity of agricultural systems to feed the world population under climate change requires projecting future food demand. This article reviews demand modeling approaches from 10 global economic models participating in the Agricultural Model Intercomparison and Improvement Project (AgMIP). We compare food demand projections in 2050 for various regions and agricultural products under harmonized scenarios of socioeconomic development, climate change, and bioenergy expansion. In the reference scenario (SSP2), food demand increases by 59–98% between 2005 and 2050, slightly higher than the most recent FAO projection of 54% from 2005/2007. The range of results is large, in particular for animal calories (between 61% and 144%), caused by differences in demand systems specifications, and in income and price elasticities. The results are more sensitive to socioeconomic assumptions than to climate change or bioenergy scenarios. When considering a world with higher population and lower economic growth (SSP3), consumption per capita drops on average by 9% for crops and 18% for livestock. The maximum effect of climate change on calorie availability is ?6% at the global level, and the effect of biofuel production on calorie availability is even smaller.     

Corporate Expenditure on Environmental Protection

We examine the determinants of firm’s current environmental expenditure and firm’s capital investment in equipment for pollution control in Irish manufacturing industries using a Heckman selection model. The main determinants for the two types of expenditure are similar: larger, exporting and energy-intensive firms are more likely to spend. Being subject to environmental regulation also has an effect. Once the decision to commit resources has been taken, larger, older, foreign-owned, exporting and energy-intensive firms incur higher environmental expenditure. For the amount of capital investment only firm size and age play a role. This suggests that the economic and regulatory incentives in place are such that it is the largest and most polluting firms that do most to reduce pollution.     

Analysing mediating effects underlying the relationships between P–O fit,P–J fit,and organisational commitment

Abstract

Person–Organisation fit (P–O fit) and Person–Job fit (P–J fit) are important predictors of employees’ commitment to their organisations. Yet little is known about the underlying mediating variables that account for these relationships. Based on assumptions derived from Social Exchange Theory (SET) and Social Identity Theory (SIT), the present study predicts that the effects of P–J fit and P–O fit on employee commitment are mediated by job satisfaction and organisational identification, respectively. An online survey (N = 432 employees) was used to test the proposed relationships using a series of path models in AMOS. As expected, P–O fit and P–J fit are positively related to affective, normative, and continuance commitment, with P–O fit showing stronger effects than P–J fit. Organisational identification and job satisfaction completely mediate the effects of fit on the commitment facets. Evidence of differential effects for P–O fit and P–J fit suggest that different forms of fit operate in different ways to influence facets of organisational commitment. This knowledge can be helpful for advancing the integration of SIT and SET in the context of the employee–organisation relationship and for designing interventions to foster organisational commitment.     

Backing what works? Social Impact Bonds and evidence-informed policy and practice

ABSTRACT

Social Impact Bonds (SIBs) offer an opportunity to explore the use of evidence to inform public policy and commissioning decisions in both discursive and practical terms in what are frequently highly politicized contexts. We identify three potential mechanisms by which SIBs may promote evidence use and explore these through empirical findings drawn from a three-year evaluation of SIBs applied to health and social care in the English NHS.     

A Process Perspective on Organizational Failure: A Qualitative Meta‐Analysis

An important stream of the organizational failure literature has proposed process models to describe how firms fail. Despite much progress, this stream is currently at a crossroads. Previous process models try to capture how failure unfolds in singular models that describe organizational failure as the result of either inertia or extremism or as a mixture of both. However, it remains unclear how these competing explanations are related and what underlying mechanisms explain why organizational failure processes unfold as they do. We address these issues by examining failure processes using a qualitative meta‐analysis research design. The qualitative meta‐analysis allows us to analyse and synthesize the wealth of previously published single‐case studies in order to develop process models of organizational failure. The most salient finding of our analysis is that failure processes converge around four distinct process archetypes, which we name imperialist, laggard, villain, and politicized. Each process archetype can be explained by the interplay of distinct rigidity and conflict mechanisms. Differentiating the four process archetypes and explaining the underlying mechanisms helps to resolve some contradictions in the previous failure process literature.