The recruitment and selection of pension trustees:an integrative approach

The role of a pension trustee is significant, which makes the recruitment and selection of labour trustees an important issue. In this article, we examine and combine aspects of two approaches to recruitment and selection: the political nomination model and the more professional HRM approach. We argue that an integrative approach would acknowledge the political, regulatory and organisational context while incorporating valid selection criteria such as domain-specific skills and performance on the job. Such an integrated process can help trade unions in filling labour trustee positions with talented individuals who are more likely to be effective in achieving labour's goals in pension governance

Understanding Behavioral Sources of Process Variation Following Enterprise System Deployment

This paper extends the current understanding of the time-sensitivity of intent and usage following large-scale IT implementation. Our study focuses on perceived system misfit with organizational processes in tandem with the availability of system circumvention opportunities. Case study comparisons and controlled experiments are used to support the theoretical unpacking of organizational and technical contingencies and their relationship to shifts in user intentions and variation in work-processing tactics over time. Findings suggest that managers and users may retain strong intentions to circumvent systems in the presence of perceived task-technology misfit. The perceived ease with which this circumvention is attainable factors significantly into the timeframe within which it is attempted, and subsequently impacts the onset of deviation from prescribed practice and anticipated dynamics

The role of intelligent systems in delivering the smart grid

The development of "smart" or "intelligent" energy networks has been proposed by both EPRI's IntelliGrid initiative and the European SmartGrids Technology Platform as a key step in meeting our future energy needs. A central challenge in delivering the energy networks of the future is the judicious selection and development of an appropriate set of technologies and techniques which will form "a toolbox of proven technical solutions". This paper considers functionality required to deliver key parts of the Smart Grid vision of future energy networks. The role of intelligent systems in providing these networks with the requisite decision-making functionality is discussed. In addition to that functionality, the paper considers the role of intelligent systems, in particular multi-agent systems, in providing flexible and extensible architectures for deploying intelligence within the Smart Grid. Beyond exploiting intelligent systems as architectural elements of the Smart Grid, with the purpose of meeting a set of engineering requirements, the role of intelligent systems as a tool for understanding what those requirements are in the first instance, is also briefly discussed

Northern Eurasia Future Initiative (NEFI): facing the challenges and pathways of global change in the twenty-first century

During the past several decades, the Earth system has changed significantly, especially across Northern Eurasia. Changes in the socio-economic conditions of the larger countries in the region have also resulted in a variety of regional environmental changes that can have global consequences. The Northern Eurasia Future Initiative (NEFI) has been designed as an essential continuation of the Northern Eurasia Earth Science Partnership Initiative (NEESPI), which was launched in 2004. NEESPI sought to elucidate all aspects of ongoing environmental change, to inform societies and, thus, to better prepare societies for future developments. A key principle of NEFI is that these developments must now be secured through science-based strategies co-designed with regional decision-makers to lead their societies to prosperity in the face of environmental and institutional challenges. NEESPI scientific research, data, and models have created a solid knowledge base to support the NEFI program. This paper presents the NEFI research vision consensus based on that knowledge. It provides the reader with samples of recent accomplishments in regional studies and formulates new NEFI science questions. To address these questions, nine research foci are identified and their selections are briefly justified. These foci include warming of the Arctic; changing frequency, pattern, and intensity of extreme and inclement environmental conditions; retreat of the cryosphere; changes in terrestrial water cycles; changes in the biosphere; pressures on land use; changes in infrastructure; societal actions in response to environmental change; and quantification of Northern Eurasia’s role in the global Earth system. Powerful feedbacks between the Earth and human systems in Northern Eurasia (e.g., mega-fires, droughts, depletion of the cryosphere essential for water supply, retreat of sea ice) result from past and current human activities (e.g., large-scale water withdrawals, land use, and governance change) and potentially restrict or provide new opportunities for future human activities. Therefore, we propose that integrated assessment models are needed as the final stage of global change assessment. The overarching goal of this NEFI modeling effort will enable evaluation of economic decisions in response to changing environmental conditions and justification of mitigation and adaptation efforts

Ethical Implications of Predictive Risk Intelligence

open access articleThis paper presents a case study on the ethical issues that relate to the use of Smart Information Systems (SIS) in predictive risk intelligence. The case study is based on a company that is using SIS to provide predictive risk intelligence in supply chain management (SCM), insurance, finance and sustainability. The pa-per covers an assessment of how the company recognises ethical concerns related to SIS and the ways it deals with them. Data was collected through a document review and two in-depth semi-structured interviews. Results from the case study indicate that the main ethical concerns with the use of SIS in predictive risk intelli-gence include protection of the data being used in predicting risk, data privacy and consent from those whose data has been collected from data providers such as so-cial media sites. Also, there are issues relating to the transparency and accountabil-ity of processes used in predictive intelligence. The interviews highlighted the issue of bias in using the SIS for making predictions for specific target clients. The last ethical issue was related to trust and accuracy of the predictions of the SIS. In re-sponse to these issues, the company has put in place different mechanisms to ensure responsible innovation through what it calls Responsible Data Science. Under Re-sponsible Data Science, the identified ethical issues are addressed by following a code of ethics, engaging with stakeholders and ethics committees. This paper is important because it provides lessons for the responsible implementation of SIS in industry, particularly for start-ups. The paper acknowledges ethical issues with the use of SIS in predictive risk intelligence and suggests that ethics should be a central consideration for companies and individuals developing SIS to create meaningful positive change for society

Justice Expectations and Applicant Perceptions

Expectations, which are beliefs about a future state of affairs, constitute a basic psychological mechanism that underlies virtually all human behavior. Although expectations serve as a central component in many theories of organizational behavior, they have received limited attention in the organizational justice literature. The goal of this paper is to introduce the concept of justice expectations and explore its implications for understanding applicant perceptions. To conceptualize justice expectations, we draw on research on expectations conducted in multiple disciplines. We discuss the three sources of expectations – direct experience, indirect influences, and other beliefs - and use this typology to identify the likely antecedents of justice expectations in selection contexts. We also discuss the impact of expectations on attitudes, cognitions, and behaviors, focusing specifically on outcomes tied to selection environments. Finally, we explore the theoretical implications of incorporating expectations into research on applicant perceptions and discuss the practical significance of justice expectations in selection contexts

The Evolution of Shopping Center Research: A Review and Analysis

Retail research has evolved over the past sixty years. Christaller\u27s early work on central place theory, with its simplistic combination of range and threshold has been advanced to include complex consumer shopping patterns and retailer behavior in agglomerated retail centers. Hotelling\u27s seminal research on competition in a spatial duopoly has been realized in the form of comparison shopping in regional shopping centers. The research that has followed Christaller and Hoteling has been as wide as it has been deep, including literature in geography, economics, finance, marketing, and real estate. In combination, the many extensions of central place theory and retail agglomeration economics have clearly enhanced the understanding of both retailer and consumer behavior. In addition to these two broad areas of shopping center research, two more narrowly focused areas of research have emerged. The most recent focus in the literature has been on the positive effects large anchor tenants have on smaller non-anchor tenant sales. These positive effects are referred to as retail demand externalities. Exploring the theoretical basis for the valuation of shopping centers has been another area of interest to researchers. The primary focus of this literature is based in the valuation of current and expected lease contracts