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Big pharma, which comprise the most important companies in the pharmaceutical sector, are ambidextrous organizations by nature. Big data can heavily influence this characteristic by simultaneously requiring adequate business process management. In fact, the impact of big data on business process management can assist big pharma in increasing process efficiency (which is related to the research and development pipeline) and process efficacy (related to product portfolio management). The purpose of this paper is to investigate this possibility and opportunity.

In the absence of specific scientific studies, as indicated by a review of the existing literature, the authors have adopted a grounded theory approach. This research has observed multiple cases (the 15 most important big pharma companies worldwide) through an electronic survey conducted on secondary data. The study has allowed the generation of a theoretical framework based on the (direct) relationship between knowledge process standardization (as the dependent variable) and big data (as the independent variable) in organizations oriented toward ambidexterity, such as big pharma in the specific scope of this research.

As big data utilization becomes widespread along the pipeline (or even along the value chain/supply chain), business process management increasingly uses (or tends to use) standardization, adopting process standardization as the main coordination mechanism to manage big knowledge. This theory is even more true when considering the moderating role of ambidexterity. An enterprise oriented toward structural ambidexterity (such as big pharma) that uses big data will require increased process standardization to manage big knowledge. Alternatively, an enterprise oriented toward contextual ambidexterity that uses big data will require increased output standardization.

Based on an analytical literature review, no research to date has focused strict attention on the influence that big data can have on business process management to improve the natural ambidexterity of big pharma. The main unique feature of this research relies on this point. The main value of the research originates from the theoretical framework reconstructed by grounded theory, which constitutes a powerful strategic tool to support executives and managers of big pharma in organizing business process management for their ambidextrous organizations using big data.

From literature, an uncovered issue around the customer-based brand equity (CBBE) is detected: the influence of sensorial preferences on the relationship between social media communication and CBBE. The purpose of this paper is to investigate the effects produced by social media brand communication – both firm-created content (FCC) and user-generated content (UGC) – on CBBE, according to the sensorial preferences in the beer industry.

A literature review has been used to develop a research model and hypotheses. The research is based on online survey carried out on a sample of 183 valid questionnaires of Italian active fans and followers in the beer industry. A multi-group analysis applied to structural equation modeling is used.

The sensory dimension prevails limiting the operating range of brand awareness that does not strongly affect CBBE. In brand equity development’ process, non-sensorial users do not consider sensorial preferences. The brand equity can become stronger by stimulating the reaction of customers through firms’ communication by using social media platforms. Therefore, the quality of peer interactions in the social media communication has a positive impact on brand loyalty. When firms use social media communication to increase overall brand equity, they have to foster and monitor FCC and UGC responses that affect different CBBE components.

The paper provides empirical evidence about the relationship between social media communication and CBBE, according to the importance given to sensorial preferences by beer lovers. This can be considered as the first study on this specific topic focused on the CBBE issue.

Big data management research and practice, however, have received enormous interest from academia and industry; the extant literature demonstrates that the authors have limited understanding and challenges in this knowledge-stream to fully capitalize with its potentials. One of the contemporary challenges is to accurately verify data veracity, and developing value from the verified data for an organization and its stakeholders. Consequently, the purpose of this paper is to develop insights on how the authors could strategically deal with the contemporary challenges in strategic management of big data, related to data veracity and data value.

The inductive–constructivist approach is followed to develop insights at the intersection of dynamic capabilities theory and stakeholder relationship management concept, in order to strategically deal with the contemporary challenges in big data management, related to data veracity and data value.

At the intersection of dynamic capabilities theory and stakeholder relationship management concept, an implication is acknowledged, which has research and practical significance to strategically verify data source, its veracity and value. Following this implication, a framework of a data incubator is proposed to proactively develop insights on veracity and value of data. Empirical insights are also presented in this study to support this initial framework.

For future research in strategic management of big data, academics will have contextual understanding on the particular interconnected and interdependent attributes from dynamic capabilities and stakeholder relationship management research streams to further enhance the understanding on big data management. For practice, these insights will be useful for executives to focus on specific attributes of the proposed data incubator to confirm data veracity and develop insights on how to design, deliver and evaluate stakeholder value based on the verified data.

Following a synthesis at the intersection of dynamic capabilities theory and stakeholder relationship management concept, this study introduces a data incubator to meaningfully deal with the big data management challenges, related to veracity and value of data.

The Museo Archeologico Nazionale di Napoli (MANN, National Archaeological Museum of Naples) is one of the most important archaeological museums in the world. In 2017, MANN launched several projects, such as Father and Son, the first video game made by an archaeological museum, and Ancient Present (Antico Presente), a series of five short films produced by the museum in five different languages and based on different artworks selected from the museum's permanent collections. The idea behind these projects was to ‘bring the museum outside the museum’, with the assumption that some tools may improve the museum's ability to speak and interact with its audiences, both in the spatial sense (outside its physical perimeter) and the temporal dimension (not only during the visit experience, but also before and after it). We have studied these two MANN projects, as this museum has explicitly targeted audience development as one of its main objectives (MANN, 2016, p. 72) and these projects are important examples of how to use new ‘languages’ (the digital and the cinematographic) to start a dialogue with new audiences and to address museum accessibility in a new way.

Starting from the premises that Internet of Things (IoT) applications can be used in museums as an aid to visiting systems, the purpose of this paper is to see how recommendation systems can be developed to provide advanced services to museum visitors.

The research methodology employs a qualitative exploratory multi-case study: the method used has consisted in crossing the information currently known on the most advanced communication technologies (ICT) with the requirements of enhancing museum services, in order to determine the possible trajectories of applying the former to the latter.

The implementation of recommender system outlines the main implications and effects of an advanced market-driven digital orientation, as the system’s users are the starting point for innovation and the creation of value. For a museum, it will be possible to access to an additional system of knowledge alongside that of its scientific staff. This process has profound implications in the way in which a museum presents itself and how it is perceived by its visitors and, in a wider sense, by the potential demand.

The paper consists in an exploratory effort to introduce an analytical framework for an evolved adaptive museum orientation system; the empirical investigation can be structured in the inductive-predictive view of assessing this promising debate further.

Implementing the IoT blueprint entails introducing a plethora of new products, services and business models, opening new routes to guide and direct cultural events. Now, more than ever, sustainable development involves an intrinsic balancing act between the pluralism of data and that of customer needs, which is achieved through the elaboration of digital data.

The purpose of this paper is to focus on territorial dynamics generated by five music festivals in the Emporda region (Spain) and its tourism sector.

Using qualitative methodology, 10 qualified informants were interviewed. Their answers were coded and analysed.

Territorial features favour the organisation of festivals. Promoters wish to offer some added value using local products. Festivals broadcast local identity to the world. Festivals’ features as tourist products explain how they are perceived as innovative.

These existing products are being further developed to meet cultural tourism requirements. This strategy is justified by the search for innovation in a fiercely global competitive context.

Current paper focuses on a present product and analyses its transformation: how a territory uses an old strategy in a new way generating future opportunities for tourism sector and local economies.