Turn to the material: Remote diagnostics systems and new forms of boundary-spanning

To learn and adapt, organizations engage widely in Information Technology (IT)-mediated boundary-spanning. This involves making sense of a swath of peripheral information made available by digital means so as to expand local knowledge. Prior research on boundary-spanning has paid scant attention to material differences between IT systems in enabling or constraining such activity. In this article, we argue that material features do matter: features afforded by IT systems have a significant impact on the form and content of boundary-spanning. We analyze material features and related affordances provided by remote diagnostics systems – a family of ubiquitous IT systems. These features allow remote diagnostics systems to collect, store, and continuously analyze data about the state of machinery and related production processes across space, time and organizational boundaries. Organizations use these systems to determine when maintenance intervention is needed, or to improve their production processes. Often, these systems are run by external service providers at remote sites, which become the new ears and the eyes of a focal organization’s production processes. Building on a longitudinal multi-site case study of two organizations, we explore the impacts of remote diagnostics systems on boundary-spanning. We observe that material features afforded by the remote diagnostics led the organizations to change their boundary-spanning in contradictory ways. On one hand, they reinforced existing boundaries. On the other hand, they crossed or cut down others, or created new ones. This suggests that the material features of these systems, when combined with new knowledge creation and sharing practices, within and between the local and the remote sites generate richer, multi-faceted inter-organizational knowledge flows. We surmise that IT’s new material features will continue to significantly shape organizing logics that determine where and when organizational boundaries are drawn and crossed. Future boundary-spanning will increasingly be shaped by socio-technical assemblages brought together by increasingly pervasive IT capabilities.     

Household Adoption of Water-Efficient Equipment: The Role of Socio-Economic Factors,Environmental Attitudes and Policy

Using survey data of around 10,000 households from 10 OECD countries, we identify the driving factors of household adoption of water-efficient equipment by estimating Probit models of a household’s probability to invest in such equipment. The results indicate that environmental attitudes and ownership status are strong predictors of adoption of water-efficient equipment. In terms of policy, we find that households that were both metered and charged for their water individually had a much higher probability to invest in water-efficient equipment compared to households that paid a flat fee.     

Heterogeneous returns to personality: the role of occupational choice

We analyze the role of personality in occupational choice and wages using data from Germany for the years 1992 to 2009. Characterizing personality by use of seven complementary measures (Big Five personality traits, locus of control, and a measure of reciprocity), the empirical findings show that personal characteristics are important determinants of occupational choice. Associated with that, identical personality traits are differently rewarded across occupations. Hence, breaking down the analysis on the level of occupational groups provides more detailed results of returns to personality. By evaluating different personality profiles, we additionally estimate the influence of personality as a whole. The estimates establish occupation-specific patterns of significant returns to particular personality profiles. These findings underline the importance to consider the occupational distribution when analyzing returns to personality due to its heterogeneous valuation.     

Local environmental quality and life-satisfaction in Germany

Hitherto the task of valuing differences in environmental quality arising from air pollution and noise nuisance has been carried out mainly by using the hedonic price technique. This paper proposes a different approach to derive information on individual preferences for local environmental quality. It analyses data drawn from the German socio-economic panel in an attempt to explain differences in self-reported levels of well-being in terms of environmental quality. Mindful of existing research a large number of other explanatory variables are included to control for socio-demographic differences, economic circumstances as well as neighbourhood characteristics. Differences in local air quality and noise levels are measured by how much an individual feels affected by air pollution or noise exposure in their residential area. The evidence suggests that even when controlling for a range of other factors higher local air pollution and noise levels significantly diminish subjective well-being. But interestingly differences in perceived air and noise pollution are not capitalised into differences in house prices.     

Customer relationship management and company performance—the mediating role of new product performance

Customer Relationship Management (CRM) is widely accepted as an effective approach for collecting, analyzing, and translating valuable customer information into managerial action. However, the potential of CRM has been investigated only in the context of existing products. CRM’s potential to aid in future new product development (NPD) has been neglected. We develop a conceptual framework in which multiple facets of CRM are linked to new product and company performance. We test this model based on a cross-functional sample consisting of 115 R&D and 122 Marketing managers from firms spanning multiple industries. The results provide evidence that CRM has a positive effect on new product performance and further, that this effect is moderated by CRM reward systems but not CRM technology. We also show that new product performance mediates the relationship between CRM and company performance. These findings have important implications for research and practice in both the CRM and NPD areas.     

The Emergence of Proto-Institutions in the New Normal Business Landscape: Dialectic Institutional Work and the Dutch Drone Industry

In the current business landscape, in which technology-enabled entrepreneurship is part of the New Normal, regulatory institutional structures are in constant flux. Previous studies have framed the challenges facing entrepreneurs in mature organizational fields as avoiding the power of overbearing regulators long enough to establish the legitimacy of their ventures. In fields typified by New Normal conditions, however, regulatory frameworks for evaluating new technology-enabled ventures are often still lacking. Regulators may choose to actively reach out to entrepreneurs to arrive at a better understanding of the radical technological changes and high-frequency entrepreneurial behavioural adaptations that occur in these settings. To grasp how novel regulatory institutional structures come about in the New Normal business landscape, we conducted a processual study of the emergence of a new technology that is the Dutch remotely piloted aircraft systems (drone) industry between 2000 and 2018. Our findings show that regulatory proto-institutions result from dialectic institutional work in the form of structured interactions between entrepreneurs and regulators. Specifically, we present a process model that reveals how new regulatory structures evolve in contexts where high levels of technological and behavioural change induce systemic uncertainty, and enlarge the interdependence between entrepreneurs and regulators. We suggest that our process theory of proto-institutional emergence generalizes towards other organizational fields in which technology-enabled entrepreneurship has become the main driver of growth. Theoretically, our findings speak to the literatures on institutional work, proto-institutional emergence, and the New Normal business landscape.     

Encouraging collaboration for the provision of ecosystem services at a landscape scale—Rethinking agri-environmental payments

In this viewpoint we draw on insights from participatory agri-environmental policy making, spatial planning and collaborative approaches to environmental management. We propose steps for planning, design and implementation of agri-environmental payment schemes that will encourage collaboration and co-ordinated actions at a landscape scale to contribute more effectively to the continued provision of ecosystem services.     

HRM in dynamic environments: Exploitative,exploratory, and ambidextrous HR architectures

Abstract

The current economic crisis has brought to the fore the need for firms to deal with ambiguity and complexity. Hence, firms need a specific balance between exploration and exploitation in order to keep pace with varying and changing environmental conditions. Hitherto, there is limited research that has examined the nexus of HR architectures, ambidexterity, and environmental dynamics. In this conceptual paper we ask: How do HR architectures serve as a means of balancing exploitative and exploratory learning in different dynamic environments? We explain how exploratory, exploitative, and ambidextrous HR architectures with their embedded HRM systems on the business unit level enable organizations to meet different environmental requirements. Thus, firms in which heterogeneous demands for flexibility and for innovation co-exist need to develop internally differentiated HR architectures. In particular, we elucidate how critical the organization’s ability is to connect different HRM systems to create an ambidextrous HR architecture to find an appropriate balance between exploration and exploitation.     

Rising wage inequality,the decline of collective bargaining,and the gender wage gap

This paper investigates the increase in wage inequality, the decline in collective bargaining, and the evolution of the gender wage gap in West Germany between 2001 and 2006. Based on detailed linked employer–employee data, we show that wage inequality is rising strongly — driven not only by real wage increases at the top of the wage distribution, but also by real wage losses below the median. Coverage by collective wage bargaining plummets by 16.5 (19.1) percentage points for male (female) employees. Despite these changes, the gender wage gap remains almost constant, with some small gains for women at the bottom and at the top of the wage distribution. A sequential decomposition analysis using quantile regression shows that all workplace related effects (firm effects and bargaining effects) and coefficients for personal characteristics contribute strongly to the rise in wage inequality. Among these, the firm coefficients effect dominates, which is almost exclusively driven by wage differences within and between different industries. Labor demand or firm wage policy related effects contribute to an increase in the gender wage gap. Personal characteristics tend to reduce wage inequality for both males and females, as well as the gender wage gap.