Selecting human health metrics for environmental decision-support tools.

Environmental decision‐support tools often predict a multitude of different human health effects due to environmental stressors. The accounting and aggregating of these morbidity and mortality outcomes is key to support decision making and can be accomplished by different methods that we call human health metrics. This article attempts to answer two questions: Does it matter which metric is chosen? and What are the relevant characteristics of these metrics in environmental applications? Three metrics (quality adjusted life years (QALYs), disability adjusted life years (DALYs), and willingness to pay (WTP)) have been applied to the same diverse set of health effects due to environmental impacts. In this example, the choice of metric mattered for the ranking of these environmental impacts and it was found for this example that WTP was dominated by mortality outcomes. Further, QALYs and DALYs are sensitive to mild illnesses that affect large numbers of people and the severity of these mild illnesses are difficult to assess. Eight guiding questions are provided in order to help select human health metrics for environmental decision‐support tools. Since health metrics tend to follow the paradigm of utility maximization, these metrics may be supplemented with a semi‐quantitative discussion of distributional and ethical aspects. Finally, the magnitude of age‐dependent disutility due to mortality for both monetary and nonmonetary metrics may bear the largest practical relevance for future research.     

Breaking the Ties That Bind: From Corporate Sustainability to Socially Sustainable Systems

Although the recent push toward sustainability is certainly generally a positive development in business and society, we can see many problems in the execution of the theory of sustainability. Where the triple bottom line calls on companies to weigh effects on stakeholders and the environment alongside profit, in practice in many cases, sustainability has been perverted to represent sustainable profits. In these cases, environmental impact and effects on people are only important insofar as they positively contribute to a firm‘s future profits. It is not only practitioners who have often espoused this misappropriated view of sustainability but also academics have lent credibility to this view. In this work, we start by criticizing the often espoused current view of sustainability and remind academics of their responsibility to adapt a more critical view of this narrow focus. We provide examples that show how the current system of capitalism has resulted in outcomes for people and the environment that are patently unacceptable. Reasons are given as to why there is much hesitation to change the status quo. We then call on academics to reexamine what the role of businesses should be within society, what obligations business and corporations should have in society, and how we can encourage meaningful change that results in a better world for future generations.     

Polarization: Concepts,Measurement, Estimation

We develop the measurement theory of polarization for the case in which income distributions can be described using density functions. The main theorem uniquely characterizes a class of polarization measures that fits into what we call the “identity‐alienation” framework, and simultanously satisfies a set of axioms. Second, we provide sample estimators of population polarization indices that can be used to compare polarization across time or entities. Distribution‐free statistical inference results are also used in order to ensure that the orderings of polarization across entities are not simply due to sampling noise. An illustration of the use of these tools using data from 21 countries shows that polarization and inequality orderings can often differ in practice.     

Impact of Uncertainty Parameter Distribution on Robust Decision Making Outcomes for Climate Change Adaptation under Deep Uncertainty

Deep uncertainty in future climatic and economic conditions complicates developing infrastructure designed to last several generations, such as water reservoirs. In response, analysts have developed multiple robust decision frameworks to help identify investments and policies that can withstand a wide range of future states. Although these frameworks are adept at supporting decisions where uncertainty cannot be represented probabilistically, analysts necessarily choose probabilistic bounds and distributions for uncertain variables to support exploratory modeling. The implications of these assumptions on the analytical outcomes of robust decision frameworks are rarely evaluated, and little guidance exists in terms of how to select uncertain variable distributions. Here, we evaluate the impact of these choices by following the robust decision-making procedure, using four different assumptions about the probabilistic distribution of exogenous uncertainties in future climatic and economic states. We take a water reservoir system in Ethiopia as our case study, and sample climatic parameters from uniform, normal, extended uniform, and extended normal distributions; we similarly sample two economic parameters. We compute regret and satisficing robustness decision criteria for two performance measures, agricultural water demand coverage and net present value, and perform scenario discovery on the most robust reservoir alternative. We find lower robustness scores resulting from extended parameter distributions and demonstrate that parameter distributions can impact vulnerabilities identified through scenario discovery. Our results suggest that exploratory modeling within robust decision frameworks should sample from extended, uniform parameters distributions.     

Consortium for Atlantic Regional Assessment: Information Tools for Community Adaptation to Changes in Climate or Land Use

To inform local and regional decisions about protecting short-term and long-term quality of life, the Consortium for Atlantic Regional Assessment (CARA) provides data and tools (for the northeastern United States) that can help decision makers understand how outcomes of their decisions could be affected by potential changes in both climate and land use. On an interactive, user-friendly website, CARA has amassed data on climate (historical records and future projections for seven global climate models), land cover, and socioeconomic and environmental variables, along with tools to help decision makers tailor the data for their own decision types and locations. CARA Advisory Council stakeholders help identify what information and tools stakeholders would find most useful and how to present these; they also provide in-depth feedback for subregion case studies. General lessons include: (1) decision makers want detailed local projections for periods short enough to account for extreme events, in contrast to the broader spatial and temporal observations and projections that are available or consistent at a regional level; (2) stakeholders will not use such a website unless it is visually appealing and easy to find the information they want; (3) some stakeholders need background while others want to go immediately to data, and some want maps while others want text or tables. This article also compares what has been learned across case studies of Cape May County, New Jersey, Cape Cod, Massachusetts, and Hampton Roads, Virginia, relating specifically to sea-level rise. Lessons include: (1) groups can be affected differently by physical dangers compared with economic dangers; (2) decisions will differ according to decision makers' preferences about waiting and risk tolerance; (3) future scenarios and maps can help assess the impacts of dangers to emergency evacuation routes, homes, and infrastructure, and the natural environment; (4) residents' and decision makers' perceptions are affected by information about potential local impacts from global climate change.     

Towards a Theory of Network Facilitation: A Microfoundations Perspective on the Antecedents,Practices and Outcomes of Network Facilitation

Firms cooperate in inter‐firm networks to foster their competitiveness and improve their innovation outcomes. In many cases, network facilitators who are either embedded in a lead firm or a third‐party organization manage the cooperation among the network firms. This qualitative study adopts a microfoundations perspective to investigate the behavioural antecedents of the network facilitators, their facilitation practices and the related network‐level outcomes. Results show that lead‐firm facilitators more strongly invest in trust‐building measures since they are considered deficient in benevolence and integrity. Without these investments, they run the risk that conflicts of interest hinder the stimulation of positive network‐level outcomes. Third‐party facilitators, by contrast, enjoy certain credits of trust and focus on balancing firm interests from the network's activation, but need to invest in enhancing their competencies and skills with regard to the industry the firms operate in. The findings contribute to developing a theory of network facilitation by providing a nuanced understanding of how network‐level outcomes can be reduced to individual‐level factors.     

How Software Project Risk Affects Project Performance: An Investigation of the Dimensions of Risk and an Exploratory Model*

To reduce the high failure rate of software projects, managers need better tools to assess and manage software project risk. In order to create such tools, however, information systems researchers must first develop a better understanding of the dimensions of software project risk and how they can affect project performance. Progress in this area has been hindered by: (1) a lack of validated instruments for measuring software project risk that tap into the dimensions of risk that are seen as important by software project managers, and (2) a lack of theory to explain the linkages between various dimensions of software project risk and project performance. In this study, six dimensions of software project risk were identified and reliable and valid measures were developed for each. Guided by sociotechnical systems theory, an exploratory model was developed and tested. The results show that social subsystem risk influences technical subsystem risk, which, in turn, influences the level of project management risk, and ultimately, project performance. The implications of these findings for research and practice are discussed.     

Projecting Rates of Spread for Invasive Species

All else being equal, the faster an invading species spreads, the more dangerous its invasion. The projection of spread rate therefore ought to be a central part of the determination of invasion risk. Originally formulated in the 1970s to describe the spatial spread of advantageous alleles, integrodifference equation (IDE) models have since been co-opted by population biologists to describe the spread of populations. More recently, they have been modified to include population structure and environmental variability. We review how IDE models are formulated, how they are parameterized, and how they can be analyzed to project spread rates and the sensitivity of those rates to changes in model parameters. For illustrative purposes, we apply these models to Cytisus scoparius, a large shrub in the legume family that is considered a noxious invasive species in eastern and western North America, Chile, Australia, and New Zealand.     

Adaptive culture and product/service innovation outcomes

Organizational culture has been used and defined extensively as a relatively stable, enduring set of values, beliefs, assumptions, and symbols shared in the organization. Based on this conception, researchers have studied the relationship between different types of cultures and innovation outcomes. In contrast to this static perspective, the dynamic systems perspective views culture as not necessarily determined by internalized and shared values. Rather, as cultures are constantly receiving environmental pressures that require continuous adaptation, they have an inherent attribute of change, which has been called adaptive culture. We focus on adaptive culture as an antecedent of product/service innovation outcomes, since innovations require a progressive upgrading of shared values, assumptions, and beliefs. Based on the thinking and acting schema, we propose two determinants of adaptive culture that help us to understand how culture can evolve to facilitate product/service innovation outcomes. We propose that structural flexibility and reflexive learning positively affect product/service innovation outcomes by creating an adaptive culture. A 190-company sample is used to analyze the theoretical model variables’ relationship to a culture that can change its values to improve product/service innovation outcomes. The results support the theoretical model, and lead to some implications for the management of culture.     

Conceptualizing leadership perceptions as attitudes: Using attitude theory to further understand the leadership process

Leadership is one of the most examined factors in relation to understanding employee well-being and performance. While there are disparate approaches to studying leadership, they share a common assumption that perceptions of a leader's behavior determine reactions to the leader. The concept of leadership perception is poorly understood in most theoretical approaches. To address this, we propose that there are many benefits from examining leadership perceptions as an attitude towards the leader. In this review, we show how research examining a number of aspects of attitudes (content, structure and function) can advance understanding of leadership perceptions and how these affect work-related outcomes. Such a perspective provides a more multi-faceted understanding of leadership perceptions than previously envisaged and this can provide a more detailed understanding of how such perceptions affect outcomes. In addition, we examine some of the main theoretical and methodological implications of viewing leadership perceptions as attitudes to the wider leadership area. The cross-fertilization of research from the attitudes literature to understanding leadership perceptions provides new insights into leadership processes and potential avenues for further research.     

Competitive Division of a Mixed Manna

A mixed manna contains goods (that everyone likes) and bads (that everyone dislikes), as well as items that are goods to some agents, but bads or satiated to others. If all items are goods and utility functions are homogeneous of degree 1 and concave (and monotone), the competitive division maximizes the Nash product of utilities (Gale–Eisenberg): hence it is welfarist (determined by the set of feasible utility profiles), unique, continuous, and easy to compute. We show that the competitive division of a mixed manna is still welfarist. If the zero utility profile is Pareto dominated, the competitive profile is strictly positive and still uniquely maximizes the product of utilities. If the zero profile is unfeasible (for instance, if all items are bads), the competitive profiles are strictly negative and are the critical points of the product of disutilities on the efficiency frontier. The latter allows for multiple competitive utility profiles, from which no single‐valued selection can be continuous or resource monotonic. Thus the implementation of competitive fairness under linear preferences in interactive platforms like SPLIDDIT will be more difficult when the manna contains bads that overwhelm the goods.     

Accounting information for managerial decision-making in shareholder management versus stakeholder management

With global challenges like climate change and, of course, the crisis of capital markets in the recent past stakeholder oriented management receives enhanced attention whereas shareholder value management is increasingly criticized for its undesirable external effects on stakeholders other than owners. Regardless of whether these criticisms are well founded or not, the question arises how accounting-related techniques for supporting managerial decision-making differ in shareholder and stakeholder value management. Accounting information can affect managerial decision-making in two ways: directly as input to decisions or indirectly by influencing the behavior of managers. This article reviews the contributions and limitations of information that prominent accounting-related techniques of shareholder management and stakeholder management provide for managerial decision-making. In a comparative perspective we find that the approaches in shareholder value management are much more advanced. In particular the two roles of information in shareholder value management are manifest in accounting-related techniques which are focused on increasing firm value. The value driver models or residual income-based performance measures may serve as examples. In comparison, accounting-related techniques to support managerial decision-making in stakeholder management are not as well advanced. So far we have approaches which concentrate on selective stakeholder groups and only partially address the multi-dimensionality of stakeholder value creation. From a conceptual perspective our findings indicate that stakeholder value creation requires a more integrated approach for answering the question whether stakeholder value is created or diminished. As a consequence, if stakeholder-orientation is taken seriously, the time has come to pay more attention to related accounting techniques.     

CSR signaling in controversial and noncontroversial industries: CSR policies,governance structures,and transparency tools

Corporate social responsibility (CSR) initiatives are signals used by organizations to reduce information asymmetries within the market and to make their commitment to sustainability observable. The present study aims at investigating the hypothesis that responsible companies operating in controversial industries (i.e., companies whose core business or production processes are perceived as questionable by society given current environmental, social, or/and ethical issues) are likely to be more active in using different types of CSR signals. Through ANCOVA, we assess how firms belonging to both controversial and non-controversial industries differ in the way they manage CSR signals. The empirical results show that companies in controversial sectors are significantly more focused on developing CSR policies and transparency tools since they expect these signals to be really visible and distinctive to stakeholders. However, companies in controversial industries seem to be similar to non-controversial companies in signaling CSR governance, suggesting that organizations expect receivers to attribute little relevance to the least visible signals. Therefore, these signals do not grant a sufficiently large reputational payoff, discouraging firms from taking advantage of the implementation of CSR governance structures. The study supports the idea that firms, in designing different types of CSR signals, take into account the peculiarities of different receivers. At the same time though, this could make firms underestimate the receivers’ ability to decode the signals and to generate countersignals, thus failing in assessing properly the expected return from their CSR signaling.     

An evaluation of social learning and learner outcomes in a massive open online course (MOOC): a healthcare sector case study

ABSTRACT

This paper responds to calls for new inquiries into the use of technology in HRD. We examine how, and to what extent, social media tools contribute to learner experiences and learner outcomes in an HRD intervention in a workplace context. We analyse qualitative and quantitative data relating to a massive open online course (MOOC) in a healthcare sector case study setting. We examine the interaction between the MOOC programme, social learning through social media tools and learner outcomes. The results of our evaluation show that usage of social media tools does not significantly affect knowledge outcomes but social media usage enhances affective outcomes. We conclude that social media tools can foster productive social learning processes. We also find evidence of some reluctance to engage with the technologies and declining patterns of interactivity using social media over the duration of the MOOC programme. We conclude that a more nuanced theorization to take account of personal and professional workplace context is necessary to explain how learners regulate their engagement with social media tools and the effect of social technologies for sustained social learning in HRD interventions.     

In search of rigor, relevance, and legitimacy: what drives the impact of publications?

In this study, we introduce the concept of legitimacy to the rigor-relevance debate and investigate empirically how rigor, relevance, and legitimacy are related to the process of knowledge dissemination within a research field. We argue that this analysis has been a missing piece in the debate on rigor and relevance when institutional logics about what constitutes both elements lead researchers to act according to what they perceive to be appropriate behavior in the research field. We draw on insights from the micro and macro levels of institutional theory to show how researchers aiming to bestow legitimacy on their own work conform to these “rules of the game”. Using meta-analytical techniques, we focus on the field of strategic entrepreneurship and analyze how rigor- and relevance-related characteristics of studies in this field are linked to their legitimacy and therefore to the impact they have in the research community.     

An integrated framework of mimetic pressures,quality and environmental management,and firm performances

Abstract

Manufacturers have extensively recognised the strategic importance of quality and environmental management. However, there is little guidance on how they adopt and exercise both management practices in a way that enhances firms’ performance outcomes. To fill the research gap, this paper empirically investigates the relationships among mimetic pressures, a firm’s quality management practices (QMPs), environmental management system (EMS), and environmental and financial performances. By using a data set collected from 212?U.S. manufacturing firms, this study examines the proposed hypotheses. Our major findings are: first, mimetic pressures are a driving factor for EMS but do not motivate the adoption of QMPs; second, QMPs are an important enabler not only for enhancing firms’ financial performance but also for promoting EMS and environmental performance; and finally, EMS does not influence firms’ financial performance directly, but indirectly does so through enhancing environmental performance. This study contributes to the literature of quality and environmental management and provides practical implications by addressing motivating factors of both QMPs and EMS, and identifying factors for successful environmental management practices.     

Representation,Propagation, and Decision Issues in Risk Analysis Under Incomplete Probabilistic Information

This article tries to clarify the potential role to be played by uncertainty theories such as imprecise probabilities, random sets, and possibility theory in the risk analysis process. Instead of opposing an objective bounding analysis, where only statistically founded probability distributions are taken into account, to the full‐fledged probabilistic approach, exploiting expert subjective judgment, we advocate the idea that both analyses are useful and should be articulated with one another. Moreover, the idea that risk analysis under incomplete information is purely objective is misconceived. The use of uncertainty theories cannot be reduced to a choice between probability distributions and intervals. Indeed, they offer representation tools that are more expressive than each of the latter approaches and can capture expert judgments while being faithful to their limited precision. Consequences of this thesis are examined for uncertainty elicitation, propagation, and at the decision‐making step.     

Industrial harm to an ecological dream

We have inherited past industrial pollution, but can business change the future and introduce sustainable solutions? This article focuses on how a small business can improve its internal barriers to environmental efficiency. Bovince Limited is working on a strategy of integrating ISO 9002, ISO 14001, EMAS, Kaizen, Investors in People systems to promote cyclic activity. We have been working on this strategy for improvement since the early 1990's, to ensure the continuous progression of our systems. The transparency of systems and strategies are seen as being of fundamental importance to business sustainability. Going beyond normal business activity and looking at how the impacts of people development and behaviorism affect strategic outcomes.Looking at these broader based concepts and their impact on day-to-day business is seen as the way forward. Bovine believe that quality of product or service cannot happen unless environmental considerations are linked into the process. Environmental systems and the reporting of them will not mean anything unless people are involved in their improvement. People will be unable to perform to their full potential unless developed.     

Noncontractible Heterogeneity in Directed Search

This paper provides a directed search model designed to explain the residual part of wage variation left over after the impact of education and other observable worker characteristics have been removed. Workers have private information about their characteristics at the time they apply for jobs. Firms value these characteristics differently and can observe them once workers apply. They hire the worker they most prefer. However, the characteristics are not contractible, so firms cannot condition their wages on them. This paper shows how to extend arguments from directed search to handle this, allowing for arbitrary distributions of worker and firm types. The model is used to provide a functional relationship that ties together the wage distribution and the wage–duration function. This relationship provides a testable implication of the model. This relationship suggests a common property of wage distributions that guarantees that workers who leave unemployment at the highest wages also have the shortest unemployment duration. This is in strict contrast to the usual (and somewhat implausible) directed search story in which high wages are always accompanied by higher probability of unemployment.     

Reconsidering Scale: Using Geographic Information Systems to Support Spatial Planning Conversations

How do planners compose plans that fit complex environmental systems? How do they align mismatched ecological and governance landscapes? We studied a small group of practitioners planning for groundwater sustainability to explore these questions. We recorded and transcribed their talk as they worked with geovisualization tools to diagnose and resolve future water shortages. Our findings showed how these planners crossed scales and levels as they reconsidered the relationships between groundwater supplies and consumers. While they recognized the urgency of aquifer overdraft, they complained about a lack of fine-grained hydrogeologic data, which they rely on for managing local water shortages.