Do community factors influence suicide?an application of strucutral pluralism theory on suicide cases

Suicide and suicidal behavior affect individuals of all ages, genders, races and religious groups in all countries, representing an important social issue. The major risk factor associated with suicide is depression. However, in some instances, suicide is not preceded by warning signs of mental disorders. Variations in the sociopolitical structures in the communities in U.S. may hold the explanation of variations on suicide rates. The objective of this study is to understand how suicide relates with variations in the community structure. Some specific socio-structural elements of a community have the potential to protect against distress by protecting individuals’ socio-psychological health. Specifically, variations in structural pluralism affect a community’s welfare because of the potential presence of dense networks of associations that create problem-solving capacity for the community. The problem solving capacity of communities results from pluralistic political structures with dense networks of associations, advocating civic welfare. As one of the consequences of influence on community’s welfare, the structural pluralism theory is tested here as a direct protection again suicide. To address this objective, county-level data are needed. Several data sources will be used to provide information essential for the analysis in this study. The suicide rates will be calculated from the Centers for Disease Control, National Center for Health Statistics’ Compressed Mortality File for the years of 1998-2002. To provide information on structural pluralism, data from the 2000 County Business Patterns will be used. The 2000 Census data and the Religious Congregations and Membership Study 2000 will be used to provide information on demographic characteristics

A real options based support system to open innovation

Pharmaceutical R&D process (PR&DP) has been deeply investigated by different streams of literature; the interest is due to the strategic implication of the related decisions undertaken. The PR&DP has been revolutionised by the biotech advent and as a consequence R&D managers cannot avoid to consider Open Innovation paradigm during this decision process. Starting from a Real Option optimization model available in literature, the paper aims at proposing a decision support system (DSS) able to suggest the candidate products to be included in the best R&D portfolio varying input parameters (resilient products), to provide a products Pareto analysis that aims at individuating the products for which it is worthwhile to acquire a deeper input parameters knowledge and to draw what if rules. The proposed DSS has been applied to a numerical example available in literature and research findings show interesting managerial and academic implications

A real options based model to select a balanced R&D portfolio

The R&D process in the pharmaceutical industry has a long and dynamic life then it is an ideal field of application for ROA. Actually, ROA implementation, as widely demonstrated in literature, is narrowed to very limited cases because its perceived complexity. This research wants to suggest a simplified method, respect the ones available in literature, that could foster the use of ROA: we built up an integer linear programming model, based on a model available in literature, useful for selecting a balanced R&D portfolio from a set of candidate drugs. The model has been tested through a case study

Risk assessment and profit sharing in business networks

Nowadays network is the preferred governance form to conduct economic transactions. Network solution allows to reach flexibility maintaining cost and quality level. Since network concept refers to a great variety of organizational hybrids it is possible to choose the one that fits better market requirements. The new trends in interorganization relationships push towards network solutions: companies are interested in relationships with partners and customers to overcome resource dependence, to enter too risky market or simply differentiate their business portfolio. The proposed research focuses on the network concept aiming at highlighting threats and opportunities to investigate the double nature of the risk concept. Network structures offer flexibility and higher profit as a consequence and business risk sharing opportunity. These two aspects (profit and risk) are strictly related and have to be considered together to depict a complete scenario; this implies that risk assessment and management in network environment cannot neglect profit sharing or, in other words, that profit sharing mechanisms should use risk as driver. In this context our research proposes a methodology to measure risk taking into account network peculiarities; risk estimation is a basic step to evaluate the opportunity cost of capital needed to compute the network Net Present Value (NPV) that is assumed as base in the profit sharing process. The profit sharing process has been tackled using the Shapley value approach that is inspired to the fairness principle while the opportunity cost of capital is assessed using the Capital Asset Pricing Model (CAPM)

Open innovation: A real option to restore value to the biopharmaceutical R&D

The pharmaceutical landscape has changed, and new business models, based on alliances, are increasingly being adopted in this industry. Biotechnology advances have pushed this development, and pooling complementary resources coming from incumbents and newcomers is a key skill to succeed: these are the premises for a quick spread of the open innovation (OI) paradigm in this industry. R&D portfolio selection needs R&D project evaluation, and Real Options Analysis (ROA) is acknowledged as a powerful tool to evaluate uncertain projects that have an intrinsic flexibility. The present research aims to foster the use of ROA in the OI field in order to encourage firms to undertake this innovation model; to achieve this goal the authors propose a closed-form model that is easy to implement, to evaluate the OI initiative for selecting an optimal R&D portfolio. The study wants to support managers in optimal R&D portfolio construction in terms of choosing the most promising products, the means by which the related project has to be undertaken (in an open or closed manner; i.e. licensing-in or not) and the self-financing policy. The proposed model can be easily implemented into a spreadsheet, and the inputs needed to run it are usually requested to evaluate projects using the most used net-present-value-based methods. Moreover, some parameters of the model allow strategic aspects to be considered: for example the nature of the project (core/non-core), the impending project phase, and the risk-sharing opportunity. The results of the developed numerical example show that the selected portfolio is well balanced in terms of development stages, core/non-core therapeutic areas and, licensing-in (an inbound open innovation solution), is preferred in the case of products at their early stages of developmen

How risk influences the choice of governance mode in biopharmaceutical inter-firm relationships

This paper proposes a new theoretical framework for assessing the influence of risk in shaping the governance form in biopharmaceutical inter-firm relationships. In particular, we propose a multidimensional operationalization of relational and performance risk and, by following Transaction Cost Economics (TCE) and Real Options (RO) theory constructs, we hypothesize a relation between the aforementioned risk components and the choice of governance form. Specifically, following TCE reasoning, we hypothesize that a high level of relational risk leads towards more hierarchical governance forms, while, following RO theory, we hypothesize that a high level of performance risk leads toward market-oriented governance forms; finally, we hypothesize a moderating effect of each risk component on the other. We empirically test our framework through the analysis of 353 inter-firm relationships signed worldwide between pharmaceutical and biotech companies from 2007 to 2010. The results show substantive support for our theoretical framework. Furthermore, we find a significant moderating effect of the performance risk on the TCE relation between relational risk and governance forms

Drivers influencing the governance of inter-firm relationships in the biopharmaceutical industry: an empirical survey in the Italian context

This paper focuses on factors influencing the choice of the governance form in inter-firm relationships (IFRs) between pharmaceutical and biotechnology companies. By reviewing the relevant literature on transaction cost economics, property right theory, real option and resources-based view, we located some drivers that might influence such relationships and we formulated a set of hypotheses linking them to governance forms. Such a theoretical framework has been empirically tested through a survey conducted among the Italian companies associated to Farmindustria. Empirical results provide some interesting insights on how shaping bio-pharmaceutical deals; we found that the developmental stage of the product/technology object of the agreement, the existence of previous collaborations between firms and the number of products marketed by the biotech company are able to influence the selection of a specific governance for

Regret and Other Emotions Related to Decision-Making: Antecedents, Appraisals, and Phenomenological Aspects

Objectives: The mainstream position on regret in psychological literature is that its necessary conditions are agency and responsibility, that is, to choose freely but badly. Without free choice, other emotions, such as disappointment, are deemed to be elicited when the outcome is worse than expected. In two experiments, we tested the opposite hypothesis that being forced by external circumstances to choose an option inconsistent with one’s own intentions is an important source of regret and a core component of its phenomenology, regardless of the positivity/negativity of the post-decision outcome. Along with regret, four post-decision emotions – anger toward oneself, disappointment, anger toward circumstances, and satisfaction – were investigated to examine their analogies and differences to regret with regard to antecedents, appraisals, and phenomenological aspects. Methods: Through the scenario methodology, we manipulated three variables: choice (free/forced), outcome (positive/negative), and time (short/long time after decision-making). Moreover, we investigated whether responsibility, decision justifiability, and some phenomenological aspects (self-attribution, other attribution, and contentment) mediated the effect exerted by choice, singularly or in interaction with outcome and time, on the five emotions. Each study was conducted with 336 participants, aged 18–60. Results: The results of both studies were similar and supported our hypothesis. In particular, regret elicited by forced choice was always high, regardless of the valence of outcome, whereas free choice elicited regret was high only with a negative outcome. Moreover, regret was unaffected by responsibility and decision justifiability, whereas it was affected by the three phenomenological dimensions. Conclusion: Our results suggest that (1) the prevailing theory of regret is too binding, since it posits as necessary some requirements which are not; (2) the antecedents and phenomenology of regret are broader than it is generally believed; (3) decision-making produces a complex emotional constellation, where the different emotions, singularly and/or in combination, constitute the affective responses to the different aspects of decision-making

To Chase or not to Chase: A Study on the Role of Mentalization and Alcohol Consumption in Chasing Behavior

Background and aims: Chasing is a behavioral marker and a diagnostic criterion for gambling disorder. Although chasing has been recognized to play a central role in gambling disorder, research on this topic is relatively scarce. This study investigated the association between chasing, alcohol consumption, and mentalization among habitual gamblers. Method: A total of 132 adults took part in the study. Participants were administered the South Oaks Gambling Screen, the Alcohol Use Disorders Identification Test, the Reflective Functioning Questionnaire, and a laboratory task assessing chasing behavior. Participants were randomly assigned to three experimental conditions (Control, Loss, and Win). To deeply investigate chasing behavior, participants were requested to indicate the reasons for stopping or continuing playing at the end of the experimental session. Results: Logistic regression analysis showed that the choice to stop or continue playing depended on experimental condition and alcohol use. Hierarchical linear regression indicated that chasing propensity was affected by experimental condition, alcohol consumption, and deficit in mentalization. The results of path analysis showed that hypermentalizing predicts chasing not only directly, but also indirectly via alcohol consumption. Conclusions: Overall, these results for the first time showed that hypermentalization plays a key role in chasing behavior over and above gambling severity. Since these findings support the idea that chasers and non-chasers are different subtypes of gamblers, clinical interventions should consider the additive role of chasing in gambling disorder