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The purpose of this study is to gain new insight into the true nature of the relationship between product diversification and performance, as well as to explore the roles the home country environment and time can play on this relationship.

The study reviews a large part of the research that has addressed the relationship between product diversification and performance over the last four decades.

This study identifies the main views (models) that can help scholars to adequately understand, both theoretically and empirically, the potential effect of product diversification on performance: the premium diversification model; the discount diversification model; and the U‐inverted model. The study confirms a wide diversity of results. Drawing from the institutional‐based view, it is argued that a significant part of this heterogeneity stems from the effect of two factors that have often been ignored: the home country environment and time period. The review of recent empirical research seems to provide some support for the central argument that the value firms achieve through product diversification may be contingent both on the specific home country environment (environmental dependency) and time period (time dependency) under study.

This study yields an alternative explanation to the inconsistency in findings that goes beyond strictly theoretical and methodological reasons. It shows that the arguments related to different views (or models) need to be considered “environment‐dependent” and “time‐dependent”. It concludes by proposing a framework to guide future research.

A separate study of the different behavioral biases does not allow for a full understanding of the complexity and stability of the heterogeneity of beliefs. Therefore, through a more global view of these anomalies, the authors wish to show that they can converge on a single concept, which is the heterogeneity of beliefs.

It is therefore essential to stress that the importance of this study is mainly reflected in the methodological approach used in the construction and analysis of the map and not only in the results achieved. This contribution states that structural analysis, as a means of building the cognitive map, can facilitate the task of investors and other decision-makers, in the identification and analysis of the heterogeneity of beliefs that can therefore guide investors' strategy in decision-making.

The authors have studied the behavior of the investor and its way of interpreting the information and the authors have emphasized the value of studying the concept of heterogeneity of beliefs in its complexity. So that part of the work seems to be relevant and crucial to filling, if you will, that void. In this sense, the authors have shown that behavioral abnormalities are multidimensional concepts: “self-deception”, “cognitive bias”, “emotional bias” and “social bias”.

In particular, this article will aim to achieve the objective of proposing a model for measuring the heterogeneity of beliefs. Thus, the authors want to show that the heterogeneity of beliefs can be measured directly through the different behavioral anomalies.

Secondary customers often experience secondary vulnerabilities that manifest in family-centred transformative services as other- and self-related customer needs. Yet, a relational perspective on primary and secondary customers’ needs is lacking. The study analyses secondary customers’ needs and their relationship to primary customers’ needs to enhance well-being in customer entities. The service inclusion lens is used to understand customers’ experiences of vulnerability.

The study uses an exploratory approach. The data consists of ethnographic observations and interviews of elderly residents (primary customers), their family members (secondary customers) and nurses in two nursing homes.

Primary and secondary customers’ needs are interrelated (or unrelated) in four ways: they are separate, congruent, intertwined or discrepant. The vulnerability experiences fluctuate in intensity and over time, individually reflecting on these need dimensions.

The study contributes to service research concerning customers’ experiences of vulnerability, secondary customers and their inclusion in services. Primary customers’ service inclusion may increase/decrease secondary customers’ service inclusion and their experience of vulnerability. Moreover, secondary customers’ inclusion is often necessary to foster primary customers’ inclusion and well-being.

Fostering service inclusion and well-being for primary and secondary customers requires balanced inclusion and acknowledging the needs of both groups. Service providers may need to act as moderators within customer entities if discrepant needs occur.

The study addresses the under-researched areas of family members’ customer needs, their relation to primary customers’ needs, experiences of secondary vulnerability and context-related vulnerability.

The paper proposes addressing the design and implementation of a web‐based risk assessment system that enables remote project team members to assess the risks at the conceptual design stage.

The prototype system is based on a client/server architecture and uses fuzzy logic and web‐based technology. A risk assessment scenario is used to demonstrate the operation and benefits of the prototype system.

The research found that the use of a web‐based risk assessment system for distributed project team members has major benefits in terms of use of linguistic terms to express risk assessment, ease of communication, ease of maintenance, and greater consistency, among others.

There is scope for enhancing the system through the development of a risk management module, improving the user interface and making specific provisions for different project types.

The move in industry towards collaborative working practices is supported by systems such as this. Risk assessment is an important area that requires the input of all team members, if evenly distributed.

This paper has presented an innovative approach to risk assessment for distributed project teams. It will be of interest to all parties involved in construction projects, particularly those involved in risk assessment.

The growth, diversity and applications of research into dynamic capabilities (DCs) have resulted in the whole literature on DCs becoming a complex and disconnected body of knowledge. This has led to criticisms of the subject of DCs as being vague, tautological and without practical value. Hence, the purpose of this paper is to synthesize the diverse scholarly literature about DCs and develop a more integrated understanding to minimize the reported apparent vagueness.

In this paper, the authors review various relevant themes on DCs using a selection of 133 articles published in 22 recognized, top-tier management journals during the period between 1990 and 2016, with an aim to build a structured and integrated theory. For this, morphological analysis (MA), a systems-thinking technique, is applied.

MA is applied to develop a multi-dimensional conceptual framework comprising five dimensions and 26 variants that enable a structured representation of the conceptual foundations of DCs. Further, the authors identify 81 individual DCs noted by various scholars; elucidate assumptions and antecedents relevant to the DCs approach; structure the key characteristics; and expound the input factors, impacting factors, desired outcomes and assessment yardsticks.

This would be a useful resource for researchers working in the area of DCs to explore opportunities for future research.

The MA framework helps managers to look at DCs more holistically, and hence would help them in developing, managing and retaining DCs in organizations.

This study is the original work contributed by the authors and has no specific organizational reference. This research implies new directions to look beyond individual DCs in firms toward a more integrated theory building.

The following conceptual exposition is presented in light of the growing number of scholars who indicate need for a comprehensive and coherent approach to disaster reduction, while practitioners seem to be continually faced with dynamic and seemingly contradictory goals and strategies.

This article reviews arguments from an assorted collection of literature in order to increase theoretical understanding of disasters and attempts to integrate various concepts, paradigms and policy proposals.

The discussion points out the strengths and weaknesses of alternative viewpoints about disasters, and suggests that a broad conceptualization of vulnerability may be best suited to assimilate findings for academia and simplify policy guidance for professionals in the field.

Because this is a cursory exploration of the casting of vulnerability management in terms of liability reduction and capacity building, additional research on the matter will undoubtedly be needed. Nonetheless, it is hoped that this article may pull together diverse academic frameworks, in order to avert recurring mistakes among those designing and implementing policy.

By updating the author's prior work in this area with additional considerations regarding the natural hazards, civil defense, risk management and homeland security schools, this article may be useful for scholars and practitioners interested in reversing the trend of more frequent and intense disasters.

The purpose of this paper is to examine the relationship between women on the board of directors and firm performance in a comparative analysis between Italy and Spain.

The generalized method of moment is employed to examine this relationship in a sample of 1,393 firm-year observations.

The results show that the presence of women on the board has a positive impact on the performance of Italian and Spanish firms. However, when the whole sample is divided into Italy and Spain, some results are remarkable. For Spain, the presence of women on the board has a positive influence on firm performance, whereas for Italy the authors find a negative and significant effect on firm performance. This study also finds that the “masculinity” dimension has a negative impact on firm performance.

The results of this study have several practical implications. First, masculinity differences within the countries can have a large impact on firm performance and can explain some differences between similar countries. Second, the legal system of countries might not explain adequately some differences in the decision-making process. Third, cultural values and thinking styles, in terms of masculinity, might better explain why the results on the relationship between female directors and firm performance are mixed. Fourth, the findings suggest that it is very important to promote gender equality, not only by passing laws but also taking action about the educational system.

To the best of the authors’ knowledge, this is the first study that investigates the relationship between female directors and firm performance between Italy and Spain considering the cultural differences in term of “masculinity.”

el objetivo de este trabajo es examinar la relación entre la presencia de mujeres en el Consejo de Administración y el rendimiento de la empresa, realizando un análisis comparativo entre Italia y España.

Se emplea el método generalizado de los Momentos (GMM), utilizando una muestra de 1.393 observaciones.

los resultados muestran que la presencia de mujeres en el consejo tiene un impacto positivo en el rendimiento de las empresas italianas y españolas. Sin embargo, cuando se analizan por separado ambas submuestras se obtienen algunos resultados destacables. Para España, la presencia de mujeres en el consejo tiene un efecto positivo, mientras que para Italia la influencia resulta negativa. Este estudio también muestra que la dimensión “masculinidad” tiene un efecto negativo en la rentabilidad de la empresa.

Los resultados de este estudio tienen varias implicaciones prácticas. En primer lugar, la diferencia en la masculinidad entre países puede tener un gran impacto en el rendimiento de las empresas y explicar algunas diferencias entre países de características similares. En segundo lugar, el sistema legal de los países podría no explicar adecuadamente algunas diferencias en el proceso de toma de decisiones. En tercer lugar, los valores culturales y el modo de pensar, en términos de “masculinidad” podría explicar mejor el hecho de que los resultados de la relación entre consejeras y rendimiento de la empresa no sea concluyente. En cuarto lugar, nuestros hallazgos sugieren que es muy importante promover la igualdad de género no sólo a través de la aprobación de leyes, sino también actuando sobre el sistema educativo.

Que tengamos conocimiento, este es el primer estudio que investiga la relación entre la presencia de consejeras y rendimiento de la empresa para Italia y España considerando las diferencias culturales en términos de “masculinidad.”

Economy-wide crises create major challenges for small and medium enterprises (SMEs). Existing studies emphasize the crucial role of contrasting behavioral strategies, effectuation and causation in SMEs' adaptation to crisis conditions. Yet, prior literature concentrated predominantly on exploring the impact of effectuation and causation on firm performance rather than survival. The authors present and empirically test a theoretical model explaining how behavioral strategies affect SME survival during an economy-wide crisis under different levels of environmental dynamism.

The authors propose a theoretical framework based on the combination of the effectuation literature and the emerging variance-based perspective on entrepreneurial actions. The theoretical model is then tested using a sample of Russian SMEs during a period of economic adversity and recovery (2015–2019).

The empirical results reveal that causation reduces the probability of firm survival in dynamic environments, while effectuation increases the chance of survival irrespective of the state of the environment. In a nutshell, the study provides evidence that the effectuation logic serves a viable way for SMEs to increase the chances of survival through the economic shock and subsequent recovery period.

For the first time in the literature, the authors demonstrate the role of behavioral strategy (effectual and causal) as a crucial antecedent of SME survival in the short and medium term, particularly during an economy-wide downturn. Furthermore, the study demonstrates the power of variability-based theorizing for explaining and predicting the survival/failure implications of entrepreneurial actions.

The purpose of this paper is to propose a data-driven scheme for identifying critical project complexity dimensions and establishing the trade-off across multiple project performance criteria.

This paper adopts a hybrid approach using Bayesian Belief Networks (BBNs) and Artificial Neural Networks (ANNs). The output of the ANN model is used as input to the BBN model for prioritizing project complexity dimensions relative to multiple project performance criteria. The proposed process is demonstrated through a real application in the construction industry.

With a number of nonlinear interactions involved within and across project complexity and performance, it is not feasible to model and assess the strength of these interactions using conventional techniques. The proposed process helps in effectively mapping a “multidimensional complexity” space to a “multidimensional performance” space and makes use of data from past projects for operationalizing this mapping scheme by means of ANNs. This obviates the need for developing a parametric model that is both challenging and computationally cumbersome. The mapping function can be used for generating all possible scenarios required for the development of a data-driven BBN model.

This paper introduces a data-driven process for operationalizing the mapping of project complexity to project performance within a network setting of interacting complexity dimensions and performance criteria. The results of the application study manifest the importance of capturing the interdependency across project complexity and performance. Ignoring the underlying interdependencies and relying exclusively on conventional correlation-based techniques may lead to making suboptimal decisions.