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This chapter examines representations of gender in online modafinil markets. While gender has often been absent from scholarship on online drug markets, our analysis demonstrates the ubiquity of gender in representations of modafinil users and sellers. The analysis draws on visual images, blogs, and marketing emails relating to three websites selling modafinil, discussed pseudonymously. We describe the range of ways that notions of gender are represented in advertising. Although women represent around 40% of that buying modafinil online, websites and communications tended not to feature women. Although sexist stereotypes of women were rarely present (in contrast to direct-to-consumer pharmaceutical advertising), the ways that modafinil was imagined tended to focus narrowly on corporate spheres of work and productivity. We contrast this narrow imaginary with female journalists’ own accounts of using modafinil to manage illness and enhance creativity. Thus, we conclude that the ways that modafinil has been imagined reflects working assumptions as to who is considered the ‘normal’ participant in online modafinil markets.

The paper contributes to the debate about local food and conceptualization of rural entrepreneurship by analysing the performance of small-scale dairies departing from their relation to innovations, innovative activities and risk.

The authors use phenomenography to identify representative categories, and to draw conclusions about how these are consistent or different from dominant definitions of rural entrepreneurship and self-employment. The authors conducted semi-structured interviews, participatory workshops and compiled a database of all small-scale dairies established between 1968 and 2020.

A focus on innovations contributes to differentiate between rural entrepreneurship and self-employment and how these interact in the process of economic growth. Innovations are seldom disruptive. Instead, innovative behaviour is strongly related to business models and to imitation. Social capital and collective action play a key role for the innovative capacity of small businesses, especially to realize disruptive innovations, such as the establishment of a new market.

The innovative capacity of rural businesses can be understood through their ability to break patterns, alter institutions and turn embededdness into assets. Rural entrepreneurship and self-employment are intertwined in the economic growth process.

Innovative behaviour is a significant aspect for firm survival over time, and it is also strongly related to new business models. Most rural firms can be characterized as self-employment, the latter are essential because they provide rural livelihoods and help bring maturity to newly established markets.

The right type of support, e.g. adopting enabling industrial regulations and granting access to constructive experiences of others, contributes to the innovative behaviour of small-scale rural firms.

This study differentiates rural entrepreneurship from rural self-employment by analysing the role of innovation. The authors show how innovations and innovative behaviour work their way through the process of economic growth and how innovation can break patterns by turning rural embeddedness into assets; and how innovative behaviour related to self-employments contributes to the creation of value and interacts with entrepreneurship in the process of economic growth.

This study investigates the extent to which a company's usage of open access (OA) literature for R&D activities depends on its size. The authors’ assumption is that smaller pharmaceutical companies have less access to (usually expensive) journal subscriptions.

A fixed-effect Poisson model was used to study a panel dataset of USPTO pharmaceutical company patents. The dependent variable is the count of citations to OA resources in a given company patent.

Results support current anecdotal evidence that many SMEs suffer from high journal prices.

This result justifies the assumption made by policymakers about the potentially positive impact OA mandates have on national innovation activity. It was also shown that collaborating with universities can be a potential coping mechanism for companies that struggle to gain access to the journals they need. In addition to the novelty of its findings, this study introduces a new way to study the impact of OA in nonacademic contexts.

This research aims to contribute to the literature on sustainable hospitality and tourism by applying social network analysis to identify sustainable tourism business networks and untangle the role of cognitive and geographical proximity in their formation.

Data mining and machine learning techniques were applied to data collected from the websites of tourism companies located in northeastern Italy, namely, the Veneto region. Specifically, the authors used Web scraping to extract relevant information from the internet.

The results support the existence of geographical clusters of tourist accommodation providers that are linked by strong cognitive proximity based on sustainability principles that are well communicated via their websites. This does not appear to be greenwashing because companies that have agreed on sustainability principles have also implemented concrete actions and tend to signal these actions through a variety of sustainability certifications.

The results may guide tourism managers and policymakers in developing tourism initiatives directed at the creation of fruitful collaborations between similarly oriented organizations and methods to support clusters of sustainable tourism accommodation. Identifying sustainable tourism networks may assist in the identification of potential actors of change, fueling a widespread transition toward sustainability.

In this study, the authors adopted an innovative methodology to detect sustainability-oriented tourism business networks. Additionally, to the best of the authors’ knowledge, this study is one of the first to simultaneously explore the cognitive and geographical connections between tourism businesses.

Testing business processes is crucial to assess the compliance of business process models with requirements. Automating this task optimizes testing efforts and reduces human error while also providing improvement insights for the business process modeling activity. The primary purposes of this paper are to conduct a literature review of Business Process Model and Notation (BPMN) testing and formal verification and to propose the Business Process Evaluation and Research Framework for Enhancement and Continuous Testing (bPERFECT) framework, which aims to guide business process testing (BPT) research and implementation. Secondary objectives include (1) eliciting the existing types of testing, (2) evaluating their impact on efficiency and (3) assessing the formal verification techniques that complement testing.

The methodology used is based on Kitchenham's (2004) original procedures for conducting systematic literature reviews.

Results of this study indicate that three distinct business process model testing types can be found in the literature: black/gray-box, regression and integration. Testing and verification approaches differ in aspects such as awareness of test data, coverage criteria and auxiliary representations used. However, most solutions pose notable hindrances, such as BPMN element limitations, that lead to limited practicality.

The databases selected in the review protocol may have excluded relevant studies on this topic. More databases and gray literature could also be considered for inclusion in this review.

Three main originality aspects are identified in this study as follows: (1) the classification of process model testing types, (2) the future trends foreseen for BPMN model testing and verification and (3) the bPERFECT framework for testing business processes.

Cities are facing challenges that dramatically affect their social and physical landscapes, leading to the increase of urban segregation and polarization. One response to these challenges is adaptive reuse, yet, in heterogeneous communities, these adaptations are often a source of conflict, because local actions often lack an integrative approach, leading to further exclusion. In this paper the authors explore the potential of adaptive reuse of urban heritage as a planning tool to support inclusiveness and heterogeneity.

The city of Acre is used as a case study, where different scenarios for urban heritage are proposed and tested among stakeholders through interviews. These aim to explore how adaptive reuse processes can lead to the inclusion or exclusion of certain groups and how design interventions in historic urban landscapes challenge the way the current disconnected historic and urban layers interact.

The paper presents the commonalities and differences between the interviewees' perceptions on Acre's functioning, their idea of inclusiveness and other aspects related to urban design. Moreover, it highlights the existing conflicts of interest, value prioritization and the adequacy of the proposed scenarios, serving as a way to verify the accuracy of the scenario building process.

Testing an urban design tool related to adaptive reuse of urban heritage in a real and extreme case, based on the guidelines of the Historic Urban Landscape Recommendation; and critically analysing the sources of conflict and value systems to address inclusion in heterogenous settings.