What is a 'fair' price? Ethics as sensemaking

Whereas the deliberative democracy approach to ethics seeks to bridge universalist reason and contextual judgment to explain the emergence of intersubjective agreements, it remains unclear how these two are reconciled in practice. We argue that a sensemaking approach is useful for examining how ethical truces emerge in equivocal situations. To understand how actors navigate through ethical complexity, we conducted an ethnographic inquiry into the multistakeholder practices of setting Fairtrade Minimum Prices. We offer three contributions. First, we develop a process model of ethics as sensemaking that explains how actors come to collectively agree on what is ethical in complex situations, even if no complete consensus arises. Second, our findings suggest that moral intuition and affect also motivate ethical judgment alongside moral reasoning. Third, an ethical sensemaking perspective explains some of the pitfalls actors confront in coping with ethical complexities in practice and how they attend to the challenges arising from stark inequalities in extreme contexts

The persistence of a stigmatised practice: a study of competitive intelligence

Studies on the diffusion of practices provide valuable insights into how organizations adopt, adapt, sustain and abandon practices over time. However, few studies focus on how stigmatized practices diffuse and persist, even when they risk tainting the adopters. To address this issue and understand how firms manage stigmatized practices, we study US organizations associated with the practice of competitive intelligence (CI) between 1985 and 2012. CI includes legitimate information gathering practices that are sometimes also associated with infringements and espionage. Our findings suggest that CI became highly diffused and persisted despite the risk of stigmatizing its adopters. We identified three factors to explain CI's persistence: (1) keeping it opaque to avoid the negative effects of stigmatization, (2) ‘constructing’ usefulness to justify its ongoing use by leveraging accepted beliefs and invoking fear of unilateral abandonment and (3) adapting it by developing multiple versions to increase its zone of acceptability. These three factors contribute to practice persistence by allowing firms to dilute the potential stigma from use of the practice. Our contribution lies in explaining the adoption, diffusion and ongoing use of a stigmatized practice whose benefits cannot be overtly acknowledged or made public

Taming wicked problems: the role of framing in the construction of corporate social responsibility

While scholars have explained how business has increasingly taken on regulatory roles to address social and environmental challenges, less attention has been given to the process of how business is made responsible for wicked problems. Drawing on a study of ‘conflict minerals’ in the Democratic Republic of Congo, we examine the process through which companies became responsible for a humanitarian crisis. We contribute by: (1) bridging insights from contentious performance and deliberative approaches – to present a model of corporate political responsibilization for a wicked problem that explains how a ‘field frame’ of responsibility can emerge; (2) explaining shifting boundaries between public and private responsibilities and the changing role of the state as catalytic rather than coercive; and (3) showing how responsibility can be attributed to a target by framing an issue and its root cause in ways that allow such an attribution, and how the attribution can diffuse and solidify.Juliane Reinecke acknowledges the support of an Early Career Fellow-ship by the Independent Social Research Foundation (ISRF)

How are practices made to vary? Managing practice adaptation in a multinational corporation

Research has shown that management practices are adapted and ‘made to fit’ the specific context into which they are adopted. Less attention has been paid to how organizations anticipate and purposefully influence the adaptation process. How do organizations manage the tension between allowing local adaptation of a management practice and retaining control over the practice? By studying the adaptation of a specialized quality management practice – ACE (Achieving Competitive Excellence) – in a multinational corporation in the aerospace industry, we examine how the organization manages the adaptation process at the corporate and subsidiary levels. We identified three strategies through which an organization balances the tension between standardization and variation – preserving the ‘core’ practice while allowing local adaptation at the subsidiary level: creating and certifying progressive achievement levels; setting discretionary and mandatory adaptation parameters; and differentially adapting to context-specific and systemic misfits. While previous studies have shown how and why practices vary as they diffuse, we show how practices may diffuse because they are engineered to vary for allowing a better fit with diverse contextual specificities

Are logics enough? Framing as an alternative tool for understanding institutional meaning making

Understanding institutions requires attending both to their social fact qualities and to the bidirectional nature of institutional processes as they influence and are influenced by actors. We advocate for frames and framing as tools to elucidate meaning making activities, and to explain whether and how meanings subsequently spread, scale up, and perhaps become widely institutionalized. Frames as cognitive structures provide resources for actors and shape what they see as possible, while framing as an interaction process is a source of agency that is imbedded in the everyday activities of individuals, groups, and organizations. In making the case for the framing approach, we consider how the extensive use of the logics approach in organization theory research has created confusion about what logics are and how they accommodate both structure and agency. We conclude with a discussion of the phenomenological and ontological potential of frames and framing

Perspectives on disruptive innovations

Everyday experiences speak to the accelerated pace of innovation in this era of continual change. Sometimes, innovations enhance the value of existing products and services. At other times, they render existing business models obsolete, disrupt value‐networks, prompt providers to rethink who their customers are, and lead customers to rethink what they value. What does it mean to manage in such a world of disruptive changes, and how might we research this phenomenon? Together with the contributors to this special issue, we anchor, explore and extend the meanings associated with the concept of disruptive innovation. In particular, we discuss several perspectives on disruption – evolutionary, relational, temporal and framing – that culminate in a performative (as opposed to a predictive) approach to thinking about the phenomenon. In doing so, our intention is to open up the agenda for both researchers and practitioners

The disruptor's dilemma: TiVo and the U.S. television ecosystem

Firms introducing disruptive innovations into multisided ecosystems may confront the disruptor's dilemma – they must gain the support of the very incumbents they disrupt. We examine how these firms may address this dilemma through a longitudinal study of TiVo, a company that pioneered the Digital Video Recorder. Our analysis reveals how TiVo navigated co-opetitive tensions by continually adjusting its strategy, its technology platform, and its relational positioning within the evolving U.S. television industry ecosystem. We theorize how (a) disruption may affect not just specific incumbents, but also the entire ecosystem, (b) co-opetition is not just dyadic, but also multilateral and intertemporal, and (c) strategy is both a deliberative and emergent process involving continual adjustments, as the disruptor attempts to balance co-opetitive tensions over time

Systems Immunology Analysis Reveals an Immunomodulatory Effect of Snail-p53 Binding on Neutrophil- and T Cell-Mediated Immunity in KRAS Mutant Non-Small Cell Lung Cancer

Immunomodulation and chronic inflammation are important mechanisms utilized by cancer cells to evade the immune defense and promote tumor progression. Therefore, various efforts were focused on the development of approaches to reprogram the immune response to increase the immune detection of cancer cells and enhance patient response to various types of therapy. A number of regulatory proteins were investigated and proposed as potential targets for immunomodulatory therapeutic approaches including p53 and Snail. In this study, we investigated the immunomodulatory effect of disrupting Snail-p53 binding induced by the oncogenic KRAS to suppress p53 signaling. We analyzed the transcriptomic profile mediated by Snail-p53 binding inhibitor GN25 in non-small cell lung cancer cells (A549) using Next generation whole RNA-sequencing. Notably, we observed a significant enrichment in transcripts involved in immune response pathways especially those contributing to neutrophil (IL8) and T-cell mediated immunity (BCL6, and CD81). Moreover, transcripts associated with NF-κB signaling were also enriched which may play an important role in the immunomodulatory effect of Snail-p53 binding. Further analysis revealed that the immune expression signature of GN25 overlaps with the signature of other therapeutic compounds known to exhibit immunomodulatory effects validating the immunomodulatory potential of targeting Snail-p53 binding. The effects of GN25 on the immune response pathways suggest that targeting Snail-p53 binding might be a potentially effective therapeutic strategy

Machine Learning based Energy Management Model for Smart Grid and Renewable Energy Districts

The combination of renewable energy sources and prosumer-based smart grid is a sustainable solution to cater to the problem of energy demand management. A pressing need is to develop an efficient Energy Management Model (EMM) that integrates renewable energy sources with smart grids. However, the variable scenarios and constraints make this a complex problem. Machine Learning (ML) methods can often model complex and non-linear data better than the statistical models. Therefore, developing an ML algorithm for the EMM is a suitable option as it reduces the complexity of the EMM by developing a single trained model to predict the performance parameters of EMM for multiple scenarios. However, understanding latent correlations and developing trust in highly complex ML models for designing EMM within the stochastic prosumer-based smart grid is still a challenging task. Therefore, this paper integrates ML and Gaussian Process Regression (GPR) in the EMM. At the first stage, an optimization model for Prosumer Energy Surplus (PES), Prosumer Energy Cost (PEC), and Grid Revenue (GR) is formulated to calculate base performance parameters (PES, PEC, and GR) for the training of the ML-based GPR model. In the second stage, stochasticity of renewable energy sources, load, and energy price, same as provided by the Genetic Algorithm (GA) based optimization model for PES, PEC, and GR, and base performance parameters act as input covariates to produce a GPR model that predicts PES, PEC, and GR. Seasonal variations of PES, PEC, and GR are incorporated to remove hitches from seasonal dynamics of prosumers energy generation and prosumers energy consumption. The proposed adaptive Service Level Agreement (SLA) between energy prosumers and the grid benefits both these entities. The results of the proposed model are rigorously compared with conventional optimization (GA and PSO) based EMM to prove the validity of the proposed model

The breadth of primary care: a systematic literature review of its core dimensions

Background: Even though there is general agreement that primary care is the linchpin of effective health care delivery, to date no efforts have been made to systematically review the scientific evidence supporting this supposition. The aim of this study was to examine the breadth of primary care by identifying its core dimensions and to assess the evidence for their interrelations and their relevance to outcomes at (primary) health system level. Methods: A systematic review of the primary care literature was carried out, restricted to English language journals reporting original research or systematic reviews. Studies published between 2003 and July 2008 were searched in MEDLINE, Embase, Cochrane Library, CINAHL, King's Fund Database, IDEAS Database, and EconLit. Results: Eighty-five studies were identified. This review was able to provide insight in the complexity of primary care as a multidimensional system, by identifying ten core dimensions that constitute a primary care system. The structure of a primary care system consists of three dimensions: 1. governance; 2. economic conditions; and 3. workforce development. The primary care process is determined by four dimensions: 4. access; 5. continuity of care; 6. coordination of care; and 7. comprehensiveness of care. The outcome of a primary care system includes three dimensions: 8. quality of care; 9. efficiency care; and 10. equity in health. There is a considerable evidence base showing that primary care contributes through its dimensions to overall health system performance and health. Conclusions: A primary care system can be defined and approached as a multidimensional system contributing to overall health system performance and health