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This paper aims to advance the international marketing debate by presenting the results of a structured literature review (SLR) focusing on Big Data implementation in customer relationship management (CRM) strategizing. It outlines past and present literature and frames a future research agenda.

The research analyzes papers published in journals from 2013 to 2020, deriving significant insights about Big Data applications in CRM. A sample of 48 articles indexed at Scopus was preliminarily submitted for bibliometric analysis. Finally, 46 papers were analyzed with content and a bibliometric analysis to identify areas of thematic specializations.

The paper presents a conceptual multilevel framework demonstrating areas of specialization emerging from the literature. The framework is built around four coordinated sequences of actions relevant to “why,” “what,” “who” and “how” Big Data is implemented in CRM strategies, thus supporting the conception and implementation of an internationalization marketing strategy.

Implications for the development of the future research agenda on international marketing arise from the comprehension of Big Data in CRM strategy.

The paper provides a comprehensive SLR of the articles dealing with models and processes of Big Data for CRM from an international marketing perspective. Despite these issues' relevance and the increasing literature focused on them, research in this area is still fragmented and underexplored, requiring more systematic and holistic studies.

The paper aims to contributes on the debates about University Idea Incubation by investigating the role and the engagement of different University's stakeholders in the process of opportunity recognition in an entrepreneurship education program targeted at students with an interdisciplinary background.

Through a longitudinal case study methodology, the Contamination Lab at University of Salento (Lecce, Italy), the learning approaches and the knowledge process to create an entrepreneurial awareness, mindset and capability in students with different educational background are presented.

The findings demonstrates the crucial role of stakeholders' engagement for business idea presentation, open innovation challenge, contamination workshop on specialized topics, enterprise projects are important vehicle for effective students' business ideas and innovative projects development in a multidisciplinary environment. The close interaction among students, academia, companies and institutions creates a favourable environment that enables opportunity identification, idea generation through a deep contamination of knowledge, skills and experiences.

Limitations include the need to generalise the results even if this limitation is typical of the case study methodology. Other research is necessary for an in-depth analysis in deep of the other Contamination Lab in Italy and to derive the “invariance traits” of this environment according to the features of the local entrepreneurial ecosystems.

Implications for practices include recommendations for designing innovative programs where the interactions between University-Institutions-Industry are realized.

A conceptual framework is proposed by defining all the entrepreneurial knowledge process and knowledge creation within the Contamination Lab, highlighting the contribution of the stakeholders in each phase and learning initiative of the program.

In the landscape created by digital transformation, developing the ability to adapt and innovate by absorbing and generating new knowledge has become a strategic priority for organizations. The theory of dynamic capabilities, especially from a knowledge-based perspective, has proven particularly useful in studying the phenomena of transformation and change. Moving from this premise, this paper aims to map the state of research and to define guidelines for the actualization of dynamic capabilities theory in the digital transformation era.

A structured literature review of 75 papers, using descriptive, bibliographic and content analysis, was performed to analyze the evolution of dynamic capabilities in the context of digital transformation.

Studies concerning knowledge-based dynamic capabilities for digital transformation have been clustered into five main research areas: the micro-foundation of dynamic capabilities for digital transformation; dynamic capabilities for value creation in digital transformation; dynamic capabilities for digital transition in specific industries; dynamic capabilities for “data-driven organizations”; and dynamic capabilities for digital transformation in SMEs and family firms. A future research agenda for scholars in strategic management is presented.

A conceptual framework and a future research agenda are presented to highlight directions for this promising research field concerning the renewal of dynamic capabilities in the context of digital transformation.

The originality of the paper lies in the conceptual framework aiming to systematize current research on knowledge-based dynamic capabilities for digital transformation and to provide a new conceptualization of digital dynamic capabilities, clarifying how organizations create and share knowledge in the era of digitalization.

In the current economic scenario characterized by turbulence, innovation is a requisite for company's growth. The innovation activities are implemented through the realization of innovative project. This paper aims to prospect the promising opportunities coming from the application of Machine Learning (ML) algorithms to project risk management for organizational innovation, where a large amount of data supports the decision-making process within the companies and the organizations.

Moving from a structured literature review (SLR), a final sample of 42 papers has been analyzed through a descriptive, content and bibliographic analysis. Moreover, metrics for measuring the impact of the citation index approach and the CPY (Citations per year) have been defined. The descriptive and cluster analysis has been realized with VOSviewer, a tool for constructing and visualizing bibliometric networks and clusters.

Prospective future developments and forthcoming challenges of ML applications for managing risks in projects have been identified in the following research context: software development projects; construction industry projects; climate and environmental issues and Health and Safety projects. Insights about the impact of ML for improving organizational innovation through the project risks management are defined.

The study have some limitations regarding the choice of keywords and as well the database chosen for selecting the final sample. Another limitation regards the number of the analyzed papers.

The analysis demonstrated how much the use of ML techniques for project risk management is still new and has many unexplored areas, given the increasing trend in annual scientific publications. This evidence represents an opportunities for supporting the organizational innovation in companies engaged into complex projects whose risk management become strategic.

The paper aims to contribute to the Circular Economy debate from the Entrepreneurship Education perspective. Despite scholars' growing interest in both these research streams, scarce consideration is given to the comprehension of their mutual implications and meaning.

The paper is based on a cross-case analysis. It compares 16 higher education programmes launched by Universities in Europe aimed to create competences and skills for Circular Economy in students with different profiles. The analysis provides a critical view of the emerging trends for the entrepreneurship education skills and competencies needed for the emerging circular entrepreneurship paradigm.

The paper discusses the main trends of Entrepreneurship Education focused on Circular Economy debate at the European level: rationale and learning objectives (why); contents (what), target students and stakeholders (who) and the learning processes (how). Four thematic areas are identified as common patterns: circular economy business model, green supply chain management, technology entrepreneurship and innovation and public policies and institutional frameworks.

The paper sheds new light on a still under-researched area, suggesting several implications and avenues for future research in Circular Economy and Entrepreneurship Education. Limitations regard the need to analyse education programmes from a larger geographical area, to take into consideration interesting experiences in the rest of the world and to also collect quantitative data.

Practical implications arise for the development of learning initiatives for the Circular Economy: learning objectives and new thematic areas focused on circular, sustainable and innovative rethinking of the process for creating value in the incumbent companies; exploring meaning and benefits of collaborative approaches and participation in the circular economy innovation ecosystem and developing advanced models for soft-skills development in terms of leadership, motivational and creative skills.

The debate on CE can also be rooted in the paradigm of entrepreneurship as a core process to advance knowledge on valuable and sustainable innovation.

This paper aims to demonstrate how the integration of netnography and business analytics can support companies in the process of value creation from social big data by leveraging on customer relationship management and customer knowledge management (CKM).

This paper adopts the methodology of a single case study by using desk analysis, netnography and business analytics. The context of analysis has been identified into the case of Aurora Company, a well-known producer of fountain pens.

The case demonstrates how the integration of big data analytics and netnography is relevant for the development of a customer relationship management strategy. The results obtained have been categorized according to the three main categories of customer knowledge, such as knowledge for, from and about customer.

This paper presents implications for the advancement of the theory on CKM by demonstrating, as the acquisition, storage and management of data generated by customers on social media require the adoption of a cross-disciplinary approach resulting from the integration of qualitative and quantitative approaches. The framework is structured as methodological tool to detect knowledge in virtual community.

Practical implications arise for managers and entrepreneurs in terms of value creation from knowledge assets generated on social big data through the management of the customers’ relationship and data-driven innovation patterns.

This paper offers an original contribution of integration of well-established research streams. The focus on the knowledge under the perspectives of information assets for, from and about customers in the debate on value creation and management of big data is an element of value offered by this study in addition to the comprehension of strategies of social customer relationship management as actual initiative embraced by a company in the leveraging of innovation and tradition.

The wide development of digital platforms permitted the birth of new financing modalities, namely, crowdfunding, where the crowd of individuals and investors can supply the necessary financial resources for venture creation and growth. While the extant literature has focused on analyzing the dynamics and features of crowdfunding campaigns, few studies have focused on understanding how crowd investors decide which ventures to invest in and which factors influence their decision-making process. Due to this gap, the purpose of this paper is to analyze the factors influencing the choice to invest in an equity crowdfunding campaign, by defining a set of indicators useful to evaluate the risk of the campaign.

An empirical research study of Italian equity crowdfunding campaigns has been conducted to identify quantitative indicators useful for evaluating the risk in a crowdfunding campaign.

Findings demonstrate that the risk indicators proposed to represent important gauges that investors can usefully consider ex ante to assess the degree of riskiness of the investment in the equity crowdfunding campaign.

The limitations of the study regarding the size of the sample that is small due to the necessity to extract enough information in pre and post-equity campaigns. Also, the lack of historical data is another limitation.

The originality of the studies relies on the proposal of quantitative indicators for the evaluation of the risk in equity crowdfunding campaigns for “crowd” investors to reduce information asymmetries.

The paper provides a contribution of systematisation to the literature on the blue economy and aquaculture as challenging issues for achieving sustainable growth and a circular economy. The growing scientific interest in recent years and the increased attention in political agendas make the blue economy and aquaculture as promising fields for scientific investigation. The latter has been confirmed during a particular period too as the pandemic times. To identify those areas of specialisation emerging from the intersection of such topics, the paper embraces a systematic literature review for inspiring future research.

The study covers a period of 20 years by including 85 papers extracted from the Scopus database. Through the adoption of VOSviewer, the investigation explores the main descriptive statistics, while content analysis has been embraced to identify thematic areas.

The main results of this study are about statistics (i.e. publication trends, geographic distribution, most frequent keywords and most influential authors, etc.). Three main thematic areas have been identified in this study: SDGs and policies for sustainable development, food and energy, business models and managerial issues.

Practical implications arise both for firms and policymakers. About the firsts, interesting insights can be derived in terms of business model innovation, collaborative approaches and technological exploration. About policymakers, inspiration in terms of renewal of strategic guidelines, creation of enabling contextual conditions and evidences for new regulations can be noted.

Elements of original contributions can be identified in the adoption of an SLR to verify the advancement of the debate till the recent pandemic.

Entrepreneurship Education (EE) is increasing throughout the world. In 2012, the Italian Ministry of Education, University and Research (MIUR) financed Contamination Labs (CLabs), which are laboratories that are aimed at developing entrepreneurial mindsets in all university students. This study analyses the entrepreneurial learning process mechanisms adopted in these CLabs.

An ethnographic case study was performed in two Italian CLabs from October 2017 to December 2019.

Findings demonstrate that the CLabs in Italy are promising Entrepreneurship Education Centres which create programmes to develop an entrepreneurial mindset in students with different educational backgrounds and levels. Interdisciplinarity in the composition of the student teams, virtuous contamination of knowledge and experience between the students and the stakeholders from the entrepreneurial ecosystem are the key pillars to foster an entrepreneurial mindset in all the students.

The limitations of this work regard the need to expand the analysis to all the other CLabs created in Italian universities.

The findings provide indications that may be used to guide a university faculty in the design and management of Entrepreneurship Education Centres in collaboration with entrepreneurs, corporations, student clubs, incubators and representatives of the local entrepreneurial ecosystem. Moreover, the results point out a need to develop interdisciplinary entrepreneurial programmes.

The originality resides in the analysis of a novel type of Entrepreneurship Education Centre in Italian Universities created as the result of an ad-hoc Italian policy.

This paper provides a structured literature review (SLR) about the effects of social media technologies on entrepreneurship activities and processes, to identify relationships, connectivity and interdependencies. The paper offers an outline of the past and the present literature and frames a future research agenda.

The structured literature review has been conducted on 159 journal papers extracted from Scopus, initially submitted to a bibliometric analysis. A final list of 69 papers published in a variety of academic journals specialized in the field of entrepreneurship, information science and business management has been analyzed through a content and bibliometric analysis.

Findings show that literature is really scant, and four research streams have been identified: Social media for entrepreneurial learning and self-employment; social media as tools for entrepreneurial marketing; social media as sources of entrepreneurial opportunities and finally, social media as enablers of networking and entrepreneurial ecosystems.

The limitations of the study regard the need for more holistic studies, considering both the technological and the social aspects.

The findings demonstrate the actuality of the research focus and the need of a deep exploration about the role of social media for the different forms of entrepreneurship process. This evidence calls for a holistic and integrated framework.

The originality of the paper resides in a novel SLR with reference to the recent role of social media for entrepreneurship. Despite the increasing literature, the debate in such field is still fragmented and under-researched, offering a promising research field.