Universitat Ramon Llull

Bronchiectasis in adults is a chronic disorder associated with poor quality of life and frequent exacerbations in many patients. There have been no previous international guidelines.The European Respiratory Society guidelines for the management of adult bronchiectasis describe the appropriate investigation and treatment strategies determined by a systematic review of the literature.A multidisciplinary group representing respiratory medicine, microbiology, physiotherapy, thoracic surgery, primary care, methodology and patients considered the most relevant clinical questions (for both clinicians and patients) related to management of bronchiectasis. Nine key clinical questions were generated and a systematic review was conducted to identify published systematic reviews, randomised clinical trials and observational studies that answered these questions. We used the GRADE approach to define the quality of the evidence and the level of recommendations. The resulting guideline addresses the investigation of underlying causes of bronchiectasis, treatment of exacerbations, pathogen eradication, long term antibiotic treatment, anti-inflammatories, mucoactive drugs, bronchodilators, surgical treatment and respiratory physiotherapy.These recommendations can be used to benchmark quality of care for people with bronchiectasis across Europe and to improve outcomes.

Qualitative comparative analysis is increasingly applied in strategy and organization research. The main purpose of our essay is to support this growing community of qualitative comparative analysis scholars by identifying best practices that can help guide researchers through the key stages of a qualitative comparative analysis empirical study (model building, sampling, calibration, data analysis, reporting, and interpretation of findings) and by providing examples of such practices drawn from strategy and organization studies. Coupled with this main purpose, we respond to Miller’s essay on configuration research by highlighting our points of agreement regarding his recommendations for configurational research and by addressing some of his concerns regarding qualitative comparative analysis. Our article thus contributes to configurational research by articulating how to leverage qualitative comparative analysis for enriching configurational theories of strategy and organization.

Abstract The paper presents the latest version of the International Reference Ionosphere model (IRI‐2016) describing the most important changes and improvements that were included with this version and discussing their impact on the IRI predictions of ionospheric parameters. IRI‐2016 includes two new model options for the F 2 peak height h m F 2 and a better representation of topside ion densities at very low and high solar activities. In addition, a number of smaller changes were made concerning the use of solar indices and the speedup of the computer program. We also review the latest developments toward a Real‐Time IRI. The goal is to progress from predicting climatology to describing the real‐time weather conditions in the ionosphere.

Causal complexity has long been recognized as a ubiquitous feature underlying organizational phenomena, yet current theories and methodologies in management are for the most part not well-suited to its direct study. The introduction of the Qualitative Comparative Analysis (QCA) configurational approach has led to a reinvigoration of configurational theory that embraces causal complexity explicitly. We argue that the burgeoning research using QCA represents more than a novel methodology; it constitutes the emergence of a neo-configurational perspective to the study of management and organizations that enables a fine-grained conceptualization and empirical investigation of causal complexity through the logic of set theory. In this article, we identify four foundational elements that characterize this emerging neo-configurational perspective: (a) conceptualizing cases as set theoretic configurations, (b) calibrating cases’ memberships into sets, (c) viewing causality in terms of necessity and sufficiency relations between sets, and (d) conducting counterfactual analysis of unobserved configurations. We then present a comprehensive review of the use of QCA in management studies that aims to capture the evolution of the neo-configurational perspective among management scholars. We close with a discussion of a research agenda that can further this neo-configurational approach and thereby shift the attention of management research away from a focus on net effects and towards examining causal complexity.

This paper provides an overview of the main perspectives and themes emerging in research on open innovation (OI). The paper is the result of a collaborative process among several OI scholars - having a common basis in the recurrent Professional Development Workshop on Researching Open Innovation' at the Annual Meeting of the Academy of Management. In this paper, we present opportunities for future research on OI, organised at different levels of analysis. We discuss some of the contingencies at these different levels, and argue that future research needs to study OI - originally an organisational-level phenomenon - across multiple levels of analysis. While our integrative framework allows comparing, contrasting and integrating various perspectives at different levels of analysis, further theorising will be needed to advance OI research. On this basis, we propose some new research categories as well as questions for future research - particularly those that span across research domains that have so far developed in isolation.

Aims In light of the rise in research on technological addictions and smartphone addiction in particular, the aim of this paper was to review the relevant literature on the topic of smartphone addiction and determine whether this disorder exists or if it does not adequately satisfy the criteria for addiction. Methods We reviewed quantitative and qualitative studies on smartphone addiction and analyzed their methods and conclusions to make a determination on the suitability of the diagnosis "addiction" to excessive and problematic smartphone use. Results Although the majority of research in the field declares that smartphones are addictive or takes the existence of smartphone addiction as granted, we did not find sufficient support from the addiction perspective to confirm the existence of smartphone addiction at this time. The behaviors observed in the research could be better labeled as problematic or maladaptive smartphone use and their consequences do not meet the severity levels of those caused by addiction. Discussion and conclusions Addiction is a disorder with severe effects on physical and psychological health. A behavior may have a similar presentation as addiction in terms of excessive use, impulse control problems, and negative consequences, but that does not mean that it should be considered an addiction. We propose moving away from the addiction framework when studying technological behaviors and using other terms such as "problematic use" to describe them. We recommend that problematic technology use is to be studied in its sociocultural context with an increased focus on its compensatory functions, motivations, and gratifications.

The use of social media creates the opportunity to turn organization-wide knowledge sharing in the workplace from an intermittent, centralized knowledge management process to a continuous online knowledge conversation of strangers, unexpected interpretations and re-uses, and dynamic emergence. We theorize four affordances of social media representing different ways to engage in this publicly visible knowledge conversations: metavoicing, triggered attending, network-informed associating, and generative role-taking. We further theorize mechanisms that affect how people engage in the knowledge conversation, finding that some mechanisms, when activated, will have positive effects on moving the knowledge conversation forward, but others will have adverse consequences not intended by the organization. These emergent tensions become the basis for the implications we draw.

Transition economies are often characterized by underdeveloped formal institutions, often resulting in an unstable environment and creating a void usually filled by informal ones. Entrepreneurs in transition environments thus face more uncertainty and risk than those in more developed economies. This article examines the relationship of institutions and entrepreneurship in Russia and China in the context of institutional theory by analyzing private property as a formal institution, as well as trust and blat/ guanxi as informal institutions. This article thus contributes to the literature on entrepreneurship and institutional theory by focusing on these topics in transition economies, and by emphasizing how their relationship differs from that in developed economies. We conclude that full convergence toward entrepreneurs‘ reliance on formal institutions may not readily occur in countries like Russia and China due to the embeddedness of informal institutions. Instead, such countries and their entrepreneurs may develop unique balances between informal and formal institutions that better fit their circumstances. Implications for the theory and practice of entrepreneurship in such environments are also offered.

Social networking sites (SNS) are especially attractive for adolescents, but it has also been shown that these users can suffer from negative psychological consequences when using these sites excessively. We analyze the role of fear of missing out (FOMO) and intensity of SNS use for explaining the link between psychopathological symptoms and negative consequences of SNS use via mobile devices. In an online survey, 1468 Spanish-speaking Latin-American social media users between 16 and 18 years old completed the Hospital Anxiety and Depression Scale (HADS), the Social Networking Intensity scale (SNI), the FOMO scale (FOMOs), and a questionnaire on negative consequences of using SNS via mobile device (CERM). Using structural equation modeling, it was found that both FOMO and SNI mediate the link between psychopathology and CERM, but by different mechanisms. Additionally, for girls, feeling depressed seems to trigger higher SNS involvement. For boys, anxiety triggers higher SNS involvement.

Technology platform strategies offer a novel way to orchestrate a rich portfolio of contributions made by the many independent actors who form an ecosystem of heterogeneous complementors around a stable platform core. This form of organising has been successfully used in smartphone, gaming, commercial software, and industrial sectors. Technology ecosystems require stability and homogeneity to leverage common investments in standard components, but they also need variability and heterogeneity to meet evolving market demand. Although the required balance between stability and evolvability in the ecosystem has been addressed conceptually in the literature, we have less understanding of its underlying mechanics or appropriate governance. Through an extensive case study of a business software ecosystem consisting of a major multinational manufacturer of enterprise resource planning software at the core and a heterogeneous system of independent implementation partners and solution developers on the periphery, our research identifies three salient tensions that characterize the ecosystem: standard–variety, control–autonomy, and collective–individual. We then highlight the specific ecosystem governance mechanisms designed to simultaneously manage desirable and undesirable variance across each tension. Paradoxical tensions may manifest as dualities, where tensions are framed as complementary and mutually enabling. Alternatively, they may manifest as dualisms, where actors are faced with contradictory and disabling “either…or” decisions. We identify conditions where latent, complementary tensions become manifest as salient, contradictory tensions. By identifying conditions in which complementary logics are overshadowed by contradictory logics, our study further contributes to the understanding of the dynamics of technology ecosystems, as well as the effective design of technology ecosystem governance that can explicitly embrace paradoxical tensions toward generative outcomes.

Abstract Starting in the early 1990s, countries in southern Europe experienced low productivity growth alongside declining real interest rates. We use data for manufacturing firms in Spain between 1999 and 2012 to document a significant increase in the dispersion of the return to capital across firms, a stable dispersion of the return to labor, and a significant increase in productivity losses from capital misallocation over time. We develop a model with size-dependent financial frictions that is consistent with important aspects of firms’ behavior in production and balance sheet data. We illustrate how the decline in the real interest rate, often attributed to the euro convergence process, leads to a significant decline in sectoral total factor productivity as capital inflows are misallocated toward firms that have higher net worth but are not necessarily more productive. We show that similar trends in dispersion and productivity losses are observed in Italy and Portugal but not in Germany, France, and Norway.

Management scholars study phenomena marked by complex interdependencies where multiple explanatory factors combine to bring about an outcome of interest. Yet, theorizing about causal complexity can prove challenging for the correlational theorizing that is predominant in the field of management, given its “net effects thinking” that emphasizes the unique contribution of individual explanatory factors. In contrast, configurational theories and thinking are well-suited to explaining causally complex phenomena. In this article, we seek to advance configurational theorizing by providing a model of the configurational theorizing process which consists of three iterative stages—scoping, linking and naming. In each stage, we develop and offer several heuristics aimed at stimulating configurational theorizing. That is, these theorizing heuristics are intended to help scholars discover configurations of explanatory factors, probe the connections among these factors, and articulate the orchestrating themes that underpin their coherence. We conclude with a discussion of how configurational theorizing advances theory development in the field of management and organizations, and beyond.

Abstract Purpose – To make their supply chains more socially responsible, many companies are implementing supplier assessment tools and collaborative practices. The aim of this paper is to provide a systematic literature review on the governance structures used to extend sustainability to suppliers. More specifically, the authors aim to answer two questions: "What is the impact of these mechanisms or governance structures on sustainable performance?" and "What are the enablers of these mechanisms?". Design/methodology/approach – A structured literature review is carried out that analyses published studies, evaluates contributions, summarises knowledge and identifies managerial implications and lines for further research. Findings – Both assessment and collaboration have a positive impact on environmental performance and corporate social responsibility, although the most recent collaborative paradigm stresses that assessment alone is not enough. Some enablers of these practices are identified. Research limitations/implications – Although the authors believe that the right search terms have been used, the choice of these terms could be a limitation of this study. Also, the selection of the articles could be considered subjective, although the papers were reviewed by two researchers. Practical implications – Supplier assessment and collaboration are effective in improving sustainability. However, the results also indicate that assessment alone is not enough. Firms also need to adopt a collaborative approach. Finally, a list of enablers to implement these practices is provided. Originality/value – The paper summarises knowledge related to the impact of supplier assessment and collaboration on sustainability, and describes the enablers of such initiatives, providing some managerial implications and lines for further research.

Assessing the correctness of a structural equation model is essential to avoid drawing incorrect conclusions from empirical research. In the past, the chi-square test was recommended for assessing the correctness of the model but this test has been criticized because of its sensitivity to sample size. As a reaction, an abundance of fit indexes have been developed. The result of these developments is that structural equation modeling packages are now producing a large list of fit measures. One would think that this progression has led to a clear understanding of evaluating models with respect to model misspecifications. In this article we question the validity of approaches for model evaluation based on overall goodness-of-fit indexes. The argument against such usage is that they do not provide an adequate indication of the “size” of the model's misspecification. That is, they vary dramatically with the values of incidental parameters that are unrelated with the misspecification in the model. This is illustrated using simple but fundamental models. As an alternative method of model evaluation, we suggest using the expected parameter change in combination with the modification index (MI) and the power of the MI test.

This paper treats organizations as adaptive systems that have to match the complexity of their environments. The nature of this complexity is analyzed by linking an institutional Information-Space (I-Space) framework to the work of complexity theorists. The I-Space framework identifies the codification, abstraction, and diffusion of information as cultural attributes. Codification involves the assignment of data to categories, thus giving them form. Abstraction involves a reduction in the number of categories to which data needs to be assigned for a phenomenon to be apprehended. Information is diffused through populations of data-processing agents, thus constituting the diffusion dimension. Complexity theorists have identified the stability and structure of algorithmic information complexity in a way that corresponds to levels of codification and abstraction. Their identification of system parts and the richness of cross-coupling draws attention to the fabric of information diffusion. We discuss two modes of adaptation to complex environments: complexity reduction and complexity absorption. Complexity reduction entails getting to understand the complexity and acting on it directly, including attempts at environmental enactment. Complexity absorption entails creating options and risk-hedging strategies, often through alliances. The analysis, and its practical utility, is illustrated with reference to China, the world's largest social system. Historical factors have shaped the nature of complexity in China, giving it very different characteristics than those typical of Western industrial countries. Its organizations and other social units have correspondingly handled this complexity through a strategy of absorption rather than the reduction strategy characteristic of Western societies. Western firms operating in China therefore face a choice between maintaining their norms of complexity reduction or adopting a strategy of complexity absorption that is more consistent with Chinese culture. The specifics of these policy alternatives are explored, together with their advantages and disadvantages. The paper concludes with the outlines of a possible agenda for future research, focusing on the investigation of complexity-handling modes and the contingencies which may bear upon the choice between them.

Evidence suggests lungs as the organ most affected by coronavirus disease 2019 (COVID-19). The literature on previous coronavirus infections reports that patients may experience persistent impairment in respiratory function after being discharged. Our objective was to determine the prevalence of restrictive pattern, obstructive pattern and altered diffusion in patients post-COVID-19 infection and to describe the different evaluations of respiratory function used with these patients. A systematic review was conducted in five databases. Studies that used lung function testing to assess post-infection COVID-19 patients were included for review. Two independent reviewers analysed the studies, extracted the data and assessed the quality of evidence. Of the 1973 reports returned by the initial search, seven articles reporting on 380 patients were included in the data synthesis. In the sensitivity analysis, we found a prevalence of 0.39 (CI 0.24–0.56, p < 0.01, I2 = 86%), 0.15 (CI 0.09–0.22, p = 0.03, I2 = 59%), and 0.07 (CI 0.04–0.11, p = 0.31, I2 = 16%) for altered diffusion capacity of the lungs for carbon monoxide (DLCO), restrictive pattern and obstructive pattern, respectively. Post-infection COVID-19 patients showed impaired lung function; the most important of the pulmonary function tests affected was the diffusion capacity.

Summary The rising use of artificially intelligent (AI) technologies, including generative AI tools, in organizations is undeniable. As these systems become increasingly integrated into organizational practices and processes, understanding their impact on workers' experiences and job designs is critical. However, the ongoing discourse surrounding AI use in the workplace remains divided. Proponents of the technology extol its benefits for enhancing efficiency and productivity, while others voice concerns about the potential harm to human workers. To provide greater clarity on this pressing issue, this article presents a systematic review of empirical research that sheds light on the implications of AI use at work. Organized under five inductively generated themes within a multilevel framework, we uncover individual, group, and organizational factors that shape the interplay between humans and AI. Specifically, the themes are: (1) human–AI collaboration; (2) perceptions of algorithmic and human capabilities; (3) worker attitudes towards AI; (4) AI as a control mechanism in algorithmic management of platform‐based work; and (5) labor market implications of AI use. Our review offers insights into these themes and identifies five pathways for future research. Finally, we provide practical recommendations for organizational leaders seeking to implement AI technologies while prioritizing their employees' well‐being.

This paper contributes to extant research on green human resource management (HRM) relying on the instrumental value of stakeholder theory, which implies that stakeholders impact on company decisions and their development of organizational resources and performance. Following that theory, the study conceives green HRM practices as a set of management processes that companies implement for responding to stakeholder pressures on environmental issues. Accordingly with those premises, we empirically test the distinct role that different green HRM practices (i.e. green hiring, green training and involvement, and green performance management and compensation) play in mediating the relationship between pressures on environmental issues from two specific external stakeholders (i.e. customers and regulatory stakeholders) and environmental performance. Our findings, based on a multi-respondent survey in which the respondents were Human Resource Managers and Supply Chain Managers operating in Italy, confirm the hypothesized mediation model. Our results (as well as their implications) are discussed in light of the recent calls to broaden the scope of HRM research, considering the embeddedness of the company in a socio-political context and exploring the role that actors and factors outside the company play in shaping its green HRM practices.

Abstract Manuscript Type Review Research Question/Issue This study provides a systematic multi‐level review of recent literature to evaluate the impact of corporate governance mechanisms (CG) at the institutional, firm, group, and individual levels on firm level corporate social responsibility (CSR) outcomes. We offer critical reflections on the current state of this literature and provide concrete suggestions to guide future research. Research Findings/Insights Focusing on peer‐reviewed articles from 2000 to 2015, the review compiles the evidence on offer pertaining to the most relevant CG mechanisms and their influence on CSR outcomes. At the institutional level, we focus on formal and informal institutional mechanisms, and at the firm level, we analyze the different types of firm owners. At the group level, we segregate our analysis into board structures, director social capital and resource networks, and directors' demographic diversity. At the individual level, our review covers CEOs' demography and socio‐psychological characteristics. We map the effect of these mechanisms on firms' CSR outcomes. Theoretical/Academic Implications We recommend that greater scholarly attention needs to be accorded to disaggregating variables and yet comprehending how multiple configurations of CG mechanisms interact and combine to impact firms' CSR behavior. We suggest that CG‐CSR research should employ a multi‐theoretical lens and apply sophisticated qualitative and quantitative methods to enable a deeper and finer‐grained analysis of the CG systems and their influence on CSR. Finally, we call for cross‐cultural research to capture the context sensitivities typical of both CG and CSR constructs. Practitioner/Policy Implications Our review suggests that for structural changes and reforms within firms to be successful, they need to be complemented by changes to the institutional makeup of the context in which firms function to encourage/induce substantive changes in corporate responsible behaviors.

An angular analysis of the B 0 K * 0 ( K + -) + -decay is presented. The dataset corresponds to an integrated luminosity of 3.0 fb -1 of pp collision data collected at the LHCb experiment. The complete angular information from the decay is used to determine CP -averaged observables and CP asymmetries, taking account of possible contamination from decays with the K + -system in an S-wave configuration. The angular observables and their correlations are reported in bins of q 2 , the invariant mass squared of the dimuon system. The observables are determined both from an unbinned maximum likelihood fit and by using the principal moments of the angular distribution. In addition, by fitting for q 2 -dependent decay amplitudes in the region 1.1 < q 2 < 6.0 GeV 2 /c 4 , the zero-crossing points of several angular observables are computed. A global fit is performed to the complete set of CP -averaged observables obtained from the maximum likelihood fit. This fit indicates differences with predictions based on the Standard Model at the level of 3.4 standard deviations. These differences could be explained by contributions from physics beyond the Standard Model, or by an unexpectedly large hadronic effect that is not accounted for in the Standard Model predictions.