Exploring factors motivating entrepreneurial intentions: the case of Italian university students

This study aims to identify the factors motivating the intentions of university students to become entrepreneurs. Leveraging data from a survey of 941 Italian students and adopting Ajzen's theory of planned behaviour, this paper employs the structural equation model to identify factors explaining students’ entrepreneurial intentions. The findings show that attitudes, subjective norms and perceived behavioural control positively shape Italian students’ intentions. Moreover, the findings signal that the skills acquired during the university pathway play a crucial role in encouraging students to consider entrepreneurial choices. The paper extends and complements the academic and policy debate in the field of entrepreneurship offering a comprehensive investigation of the factors affecting entrepreneurial intentions. It also allows us to contend that higher education may have an important role to play in fostering the entrepreneurial intentions of young people. This is especially significant given current global economic conditions and the renewed importance of self‐employment strategies.     

Measuring dynamics and structural change of time-dependent socio-economic networks

This paper addresses the issue of measuring temporal dynamics of complex socio-economic relational systems, represented as time-dependent networks. Network dynamics is first splitted into a structural component, accounting for changes in the network topology, and a non-structural component, accounting for permutation of vertex labels. A quantitative measure of the dynamics and its components is then proposed and it is shown how it can be used to investigate and interpret the time evolution of networks. A real example is discussed, pertaining to the dynamics of a subnetwork of the Italian corporate board network.     

The Image of Spain as Tourist Destination Built Through Fictional Cinema

Fictional cinema is one of the cultural agents that shapes the international image of each country. It colonizes spectators' imagery, and it can influence their choice of tourist destinations. Spanish cinema's international diffusion has allowed the exhibition of movies that spread and renew the image of Spain in different ways. In this respect, we propose a three‐fold typology of films focusing our attention on their content and the ways in which they build the image of Spain: Icon Films, Pastiche Films, and Tourist Poster Films. These films may stimulate the increase of a cultural tourism very different from the traditional one that inspired many to come to Spain mainly looking for sunny beaches.     

A Review of Personality Research in the Tourism and Hospitality Context

Most commentators agree that human relations are central to tourism and hospitality. Different personalities thus display different reactions to the same task. This article provides an overview of prior studies on personality in the context of tourism and hospitality. Using EBSCOHost's Hospitality & Tourism Index, the largest online database for tourism and hospitality research, we analyzed published articles on the topic. Broadly speaking, prior studies can be grouped into the seven dimensions of disposal, biological, intrapsychic, cognitive, social, and adjustment in personality research, plus brand personality. Interestingly, our results show although the Internet has become one of the major marketing channels for hospitality and tourism, only a small number of published articles are related to consumers' online behavior. We thus propose that this area be further researched in the future.     

A critical look at technological innovation typology and innovativeness terminology: a literature review

A plethora of definitions for innovation types has resulted in an ambiguity in the way the terms ‘innovation’ and ‘innovativeness’ are operationalized and utilized in the new product development literature. The terms radical, really‐new, incremental and discontinuous are used ubiquitously to identify innovations. One must question, what is the difference between these different classifications? To date consistent definitions for these innovation types have not emerged from the new product research community. A review of the literature from the marketing, engineering, and new product development disciplines attempts to put some clarity and continuity to the use of these terms. This review shows that it is important to consider both a marketing and technological perspective as well as a macrolevel and microlevel perspective when identifying innovations. Additionally, it is shown when strict classifications from the extant literature are applied, a significant shortfall appears in empirical work directed toward radical and really new innovations. A method for classifying innovations is suggested so that practitioners and academics can talk with a common understanding of how a specific innovation type is identified and how the innovation process may be unique for that particular innovation type. A recommended list of measures based on extant literature is provided for future empirical research concerning technological innovations and innovativeness.

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Uses of Agent‐Based Modeling in Innovation/New Product Development Research*

Little has been written in the new product development literature about the simulation technique agent‐based modeling, which is a by‐product of recent explorations into complex adaptive systems in other disciplines. Agent‐based models (ABM) are commonly used in other social sciences to represent individual actors (or groups) in a dynamic adaptive system. The social system may be a marketplace, an organization, or any type of system that acts as a collective of individuals. Agents represent autonomous decision‐making entities that interact with each other and/or with their environment based on a set of rules. These rules dictate the behavioral choices of the agents. In these simulation models, heterogeneous agents interact with each other in a repetitive process. It is from the interactions between agents that aggregate macroscale behaviors or trends emerge. The simulated environment can be thought of as a “virtual” society in which actions taken by one agent may have an effect on the resulting actions of another agent. This article is an introduction to the ABM methodology and its possible uses for innovation and new product development researchers. It explores the benefits and issues with modeling dynamic systems using this methodology. Benefits of ABMs found in sociology and management studies have found that as the heterogeneity of individuals increase in a system or as network effects become more important in a system, the effectiveness of ABMs as a methodology increases. Additionally, the more adaptive a system or the more the system evolves over time, the greater the opportunity to learn more about the adaptive system using ABMs. Limitations to using this methodology include some knowledge of computer‐programming techniques. Three potential areas of research are introduced: diffusion of innovations, organizational strategy, and knowledge and information flows. A common use of ABMs in the extant literature has been the modeling of the diffusion process between networked heterogeneous agents. ABMs easily allow the modeling of different types of networks and the impact of these networks on the diffusion process. A demonstrative example of an agent‐based model to address the research question of how should manufacturers allocate resources to research (exploration) and development (exploitation) projects is provided. Future courses of study using ABMs also are explored.     

Community structure in the World Trade Network based on communicability distances

In this paper, we investigate the mesoscale structure of the World Trade Network. In this framework, a specific role is assumed by short- and long-range interactions, and hence by any suitably defined network-based distance between countries. Therefore, we identify clusters through a new procedure that exploits Estrada communicability distance and the vibrational communicability distance, which turn out to be particularly suitable for catching the inner structure of the economic network. The proposed methodology aims at finding the distance threshold that maximizes a specific quality function defined for general metric spaces. Main advantages regard the computational efficiency of the procedure as well as the possibility to inspect intercluster and intracluster properties of the resulting communities. The numerical analysis highlights peculiar relationships between countries and provides a rich set of information that can hardly be achieved within alternative clustering approaches.