Fads and Fashions in Management Practices: Taking Stock and Looking Forward

Established management practices – such as Six Sigma or business process re‐engineering, as well as more recent practices such as agile management processes, HR analytics and beyond budgeting – are viewed by practitioners as the basic tools of their trade. Yet they have been known to wax and wane in popularity, often quite unpredictably, with one technique following the other in wave‐like fashion. The scholarly observation of this phenomenon has given rise to the literature on fads and fashions in management studies, which – building on earlier work in allied disciplines – has sought to explain the transience, persistence, and overall trajectory of management practices. In this paper, we review and integrate the existing literature on management fads and fashions, taking stock of the sizable body of work that has accumulated over the past three decades and which has, to our knowledge, never been reviewed comprehensively before. At the same time, we also note that technological change – with the advent of social media and the ubiquity of Internet connectivity, for example – has radically transformed how practitioners seek, consume, and engage with new practices, as well as the way in which such practices are broadcast and diffuse. In our review, therefore, we try to make this well‐established body of literature current by explicitly discussing how well its central tenets and theoretical arguments have stood the test of time, and propose useful directions for moving forward.     

The MIMIC–CUB Model for the Prediction of the Economic Public Opinions in Europe

Social Indicators Research - To study the Europeans’ perception on the economic conditions, a model that combine Multiple Indicators Multiple Causes (MIMIC) and Combination of Uniform and...     

A Quality Risk Management Model Approach for Cell Therapy Manufacturing

International regulatory authorities view risk management as an essential production need for the development of innovative, somatic cell‐based therapies in regenerative medicine. The available risk management guidelines, however, provide little guidance on specific risk analysis approaches and procedures applicable in clinical cell therapy manufacturing. This raises a number of problems. Cell manufacturing is a poorly automated process, prone to operator‐introduced variations, and affected by heterogeneity of the processed organs/tissues and lot‐dependent variability of reagent (e.g., collagenase) efficiency. In this study, the principal challenges faced in a cell‐based product manufacturing context (i.e., high dependence on human intervention and absence of reference standards for acceptable risk levels) are identified and addressed, and a risk management model approach applicable to manufacturing of cells for clinical use is described for the first time. The use of the heuristic and pseudo‐quantitative failure mode and effect analysis/failure mode and critical effect analysis risk analysis technique associated with direct estimation of severity, occurrence, and detection is, in this specific context, as effective as, but more efficient than, the analytic hierarchy process. Moreover, a severity/occurrence matrix and Pareto analysis can be successfully adopted to identify priority failure modes on which to act to mitigate risks. The application of this approach to clinical cell therapy manufacturing in regenerative medicine is also discussed.     

Innovation in Family Firms: A Systematic Literature Review and Guidance for Future Research

Through a systematic review of 118 peer‐reviewed journal articles published between 1961 and 2017, this article provides an integrative picture of the state of the art of the family firm innovation literature. Our aim is to widen existing understanding of innovation in family firms by building a theoretical bridge with studies in the mainstream innovation literature. Specifically, in identifying the main gaps in the literature and providing future research directions, our critical and dynamic picture of family‐specific determinants of innovation is intended to advance the debate on innovation in general, and family firms in particular.     

Governance Considerations for Seeker–Solver Relationships: A Knowledge‐Based Perspective in Crowdsourcing for Innovation Contests

The need to solve innovation problems and insource knowledge has led to an increasing number of organizations engaging in crowdsourcing activities and subsequently establishing working relationships with winning solution providers. Using a knowledge‐based view and the problem‐solving perspective, we develop a theoretical framework suggesting how specific innovation problem attributes (i.e. the decomposability, formulation and search space of the problem) influence the governance decision (unilateral vs. bilateral) of seekers to manage the relationship with winning solvers. We empirically analyse the framework using 582 challenges broadcast on the NineSigma crowdsourcing platform. Our results indicate that problem attributes – the formulation and search space of the problem – have a positive effect on seekers’ preference towards unilateral governance structures. However, we did not find any empirical confirmation of the effect that the decomposability of the innovation problem has on seekers’ preference towards unilateral governance structures. This study offers several contributions to the crowdsourcing literature, and also has important implications for managers of organizations aiming to insource knowledge through crowdsourcing for innovation contests.     

Subject-specific odds ratios in binomial GLMMs with continuous response

In a regression context, the dichotomization of a continuous outcome variable is often motivated by the need to express results in terms of the odds ratio, as a measure of association between the response and one or more risk factors. Starting from the recent work of Moser and Coombs (Stat Med 23:1843–1860, 2004) in this article we explore in a mixed model framework the possibility of obtaining odds ratio estimates from a regression linear model without the need of dichotomizing the response variable. It is shown that the odds ratio estimators derived from a linear mixed model outperform those from a binomial generalized linear mixed model, especially when the data exhibit high levels of heterogeneity.     

Maximum likelihood estimation in Dagum distribution with censored samples

In this work, we show that the Dagum distribution [3 Dagum, C. 1977. A new model of personal income distribution: Specification and estimation. Econ. Appl., XXX: 413–436.  [Google Scholar]] may be a competitive model for describing data which include censored observations in lifetime and reliability problems. Maximum likelihood estimates of the three parameters of the Dagum distribution are determined from samples with type I right and type II doubly censored data. We perform an empirical analysis using published censored data sets: in certain cases, the Dagum distribution fits the data better than other parametric distributions that are more commonly used in survival and reliability analysis. Graphical comparisons confirm that the Dagum model behaves better than a number of competitive distributions in describing the empirical hazard rate of the analyzed data. A probability plot to provide graphical check of the appropriateness of the Dagum model for right censored data is constructed, and the details are given in the appendix. Finally, a simulation study that shows the good performance of the maximum likelihood estimators of the Dagum shape parameters for finite type II doubly censored samples is carried out.     

A New Relative Importance Index of Evaluation for Conjoint Analysis: Some Findings for CRM Assistant

Social Indicators Research - ELECTUS is an Italian multi-centre research project with the aim of reinforcing the relationship between the academic world and business. Through this project, it is...     

Economic Crisis and Migration

This article develops a perspective on African migrant integration, reflecting on the ‘visualization’ of migrant experience. It formulates some considerations on how integration of migrants can be captured, drawing on empirical material from street photography in modern-day Greece. The main research question concerns the role of visual images as sites for the construction and depiction of social difference. In that sense, their meaning goes beyond their content and they act as visual representations of discourses. The paper addresses this issue through a focus on local aspects of integration of sub-Saharan African migrants in the city centre of Athens. Specifically it looks at three themes related to discourses on migrant integration in today's economic crisis: (1) the physical and social environment of marginalization, (2) the migrant body and (3) the fear of the migrant. On the basis of the findings a synthesis is attempted of several parallel existing representations in discourses about African migration. The synthesis betrays the ongoing struggle between, on the one hand, the dominant structures that the state creates to deal with their presence and, on the other, the migrant strategies for adaptation and inclusion, which in turn sustain the mechanisms and form integration takes in this context.     

Toward health: A staff learns to use mentally ill clients,families, and communities as advisors

This paper demonstrates how clinical supervision might incorporate family systems expertise, in combination with certain social work and agency traditions, to create slight shifts in staff behavior. In a mental health clinic/day treatment setting, the supervisor's interventions are made to help staff and clients move beyond interactional impasses.