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The paper provides a new definition of healthy and functional food considering the case of sorghum, which is dealing with environmental challenges, calling for exploration of eco-conscious consumers' behavior in the free-from food innovative market.

Through a systematic literature review and bibliometric analysis, this article offers a deep and broad outlook on a sustainable open innovations approach for agri-food systems. The bibliometric analysis includes a total of 198 scientific papers, deeply analyzed through Bibliometrix package.

Results show increasing academic interest in sustainable innovations for the agri-food system, where the relevance of the food-grade sorghum is noticed. An open innovation approach is called for to deal with environmental challenges.

Theoretically, the research offers a new definition of healthy and functional food in line with current environmental challenges. It also provides a deep literature review on eco-conscious consumers and food-grade sorghum as functional food in the context of the free-from food market.

This study aims to investigate consumer acceptance for a set of innovations that can be applied to the production process of extra-virgin olive oil. The final purpose is to verify whether, and to what extent, consumer acceptance of innovations varies depending on the type of technology used and the profile of consumers.

A cross-sectional consumer survey has been carried out in Italy. A structured questionnaire was administered to a national representative sample of individuals who are responsible for grocery shopping (N = 1,003). Consumer acceptance for a set of ten innovations has been measured. Statistical differences between the various measures have been analysed through pairwise comparisons using Wilcoxon's signed-rank test, and subsequent effect sizes have been estimated. A cluster analysis has been also performed to distinguish consumer segments with different response patterns.

The results showed that the type of technology affects significantly the level of consumer acceptance of the tested innovations. In addition, high heterogeneity has been detected among consumer responses, and this leads to identify three consumer segments with different response patterns.

The study is focused on extra-virgin olive oil, which is one of the most important traditional food product in Mediterranean countries. This is the first study where several innovations for extra-virgin olive oil were jointly tested and compared for acceptance through a survey on a nation-wide representative sample of consumers.

Institutional venture capitalists (IVCs) and corporate venture capitalists (CVCs) deploy analogous activities but adopt different approaches to financing innovation and value creation for venture-backed firms. Thus, this paper aims to investigate their potential ambidexterity as a result of knowledge management (KM) strategies and processes.

After a focused literature review showing evidence of KM behaviors as a source of potential ambidexterity for IVCs and CVCs, descriptive, inferential and discriminant analyses on the 15 most active IVCs and CVCs in the world in 2019 are presented. Correlations between numbers of deals, prevailing entrepreneurial intensity and potential ambidexterity are investigated.

Specific differences are analyzed from a KM perspective, revealing that the number/percentage of operations per round can result as a misleading criterion of knowledge accumulation. Finally, a theoretical model for ambidexterity for venture capitalists is developed.

The study shows that IVCs act with greater investment capacity because of their organizational structure and purpose and focus on financial goals; moreover, they are ambidextrous, although their exploration may more frequently entail exploitation than “real” exploration. CVCs tend to invest in sectors related to their core business, coherent with their strategic purpose and more oriented with KM strategies for accumulating intellectual capital.

The purpose of this paper is to shed light on the propensity of family firms to join a cross-border acquisition as acquirers.

The present study analyzes a sample of 270 acquisitions in the period 2015–2017 whose acquiring firms are represented by family and nonfamily listed European firms.

The results point out that family firms are less likely to make a cross-border acquisition than nonfamily counterparts.

Mergers and acquisitions (M&A) activity is cyclical by nature, represented by waves of concentrated intensity rather than necessarily by constant activity over time. Therefore, the main limitation is represented by the period analyzed (2015–2017), which restricts the possibility of seizing a greater number of transactions.

If careful evaluation leads to the consideration of M&A as the optimal mode of entry into a certain foreign market, family firms should broaden the pool from which managers are selected in order to access more qualified staff, who are able to face international M&As.

In recent years, a growing body of literature has focused on the effects of family ownership on the propensity of making an M&A, on the method of payment chosen by an acquired family firm, and on the reaction of the market at the announcement of a family business’ M&A. However, despite of the relevance of the entry modes of firms’ internationalization strategies, scant attention has been devoted to cross-border M&As conducted by family firms, which occur when a family firm acquires a firm located in a foreign country. In order to fill the research gap, this work investigates the likelihood of a family firm’s acquisition of a foreign target.

The purpose of this paper is to investigate the food and beverage automatic retail environment by analysing the impact of planograms, conceived as a visual merchandising practice and shopping time – the time spent making a purchase – as part of food consumer purchasing behaviour to further enrich the debate on the ability of companies to absorb customer knowledge.

A real-world experiment was conducted using a sample of 27,230 valid observations of consumer purchasing decision-making processes at automatic vending machines (AVMs). Data were collected by a shopper behaviour analytics system that allows for a better understanding of the AVM users' behaviour. Two sets of regressions were run to test the two hypotheses.

The experimental results demonstrated that planograms – the planned, systematic organisation of products in an AVM – positively impact food purchases. A planogram acts as a mediator in the relationship between shopping time and purchase, resulting in shorter shopping times and more purchases.

This work adds to the customer knowledge literature by focussing on customer behaviour in the food and beverage automated shopping environment. The shopper analytics technology adopted to collect real-time data leads to a better understanding of the purchasing behaviour of AVMs' users and provides new marketing and retail insights into AVMs' performance that retailers can use to improve their marketing strategies.

Sustainable development involves companies on an individual, organizational and social level requiring the adoption of business models or innovations capable of privileging the co-creation of mutual value with a view to sustainability. From an organizational perspective, this paper aims to show that knowledge brokers, by making explicit their roles as mediators of interactions and acting on dynamic capabilities (DCs), can generate a proactive approach to the three dimensions of sustainability and specifically allows capabilities to positively impact the propensity toward sustainable supply chain management (SSCM) practices.

This study offers an empirical analysis of 200 companies in the agro-food sector participating in a knowledge brokerage system activated by protection consortia. It uses a multiple regression technique that allows for observing relationships between DCs and SSCM.

Absorptive, adaptive and innovative capabilities, when understood and brokered, have a positive and direct impact on the SSCM.

As there have rarely been frameworks developed that correlate knowledge brokerage, DCs and sustainability, this paper suggests that DCs, when adequately valued by the knowledge broker, allow for identifying the requirements of the various stakeholders regarding sustainability and changes in market scenarios to generate sustainability practices along the supply chain.

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.

The purpose of this paper is to provide evidence regarding the contributions of ambidextrous workforces as a source of value for dynamic companies and organizations facing emerging market turbulence.

Using structural equation modeling, the paper analyses the data collected via a semi-structured questionnaire administered to a sample of 1,227 employees from 37 Italian small- to medium-sized enterprises to investigate the effect on companies’ economic performance of ambidextrous workforce-related elements such as study background, previous work experience, work flexibility and soft capabilities.

The research shows that multidisciplinary human resources’ study background, previous human resources’ work experience and human resources’ soft capabilities are positively linked to companies’ return on sales, providing indirect evidence about the role of ambidextrous workforces in supporting companies facing emerging market turbulence.

The research demonstrates the relevant role of human resources in supporting companies to better align themselves to the emerging social and economic variety.

We explore the impact of a specific knowledge management framework on the quality of innovation, the geographic distribution of R&D and the cross-regional integration. We use directly observed indicators of cross-regional knowledge application within the firm as well as examine collaborative mechanisms that firms may use to promote such knowledge translation.

Our analysis is based upon successful patents in biotechnology sector applied for during 2011–2014. The empirical assessment follows a mixed method approach. The sample used for testing the empirical hypotheses is composed of 130,720 patents from 860 large US firms. The sample of patents was obtained from USPTO and NBER dataset.

The idea of this paper was to introduce a model specifically developed for the process of knowledge translation. This research contributes to the literature related to the emergent and new issue namely collaborative knowledge translation (CKT), especially emphasizing the key role of the knowledge translation practices and tools for the internationalization of R&D teams and supporting the quality of innovations in different ways.

This research is conceptually based on the broader concepts of spiral of knowledge of Nonaka and Takeuchi. In spite of the increasing research in innovation, few studies have been done about the diverse contexts' role in the knowledge flows supporting the innovation development. In the attempt to cover this gap, the objective of this research is to answer the following main research question: How to support and manage the process of knowledge translation in innovation processes occurring in collaborative teams?

The study aims to investigate the influence of FinTech (Financial Technology) determinants such as crowdfunding, mobile payment and blockchain as potential facilitators in an entrepreneurial ecosystem for undertaking decisions in Tunisia, as an example of emerging economy.

Quantitative research was carried out with data collection based on a questionnaire that has been sent via email to young Tunisian entrepreneurs (potential or actual). A following regression was calculated on 93 respondents.

Analysis of the data showed that most of the relationships under investigation were confirmed. Statistical tests highlighted that knowledge, availability and access about crowdfunding and blockchain had a positive and significant impact on entrepreneurial intention. Regarding mobile payment, there was a negative and insignificant effect on entrepreneurial intention.

From the evidence of the research, Fintech ecosystems may positively influence the decision to undertake, with relevant implications at institutional, industrial and individual level. More specifically, demonstrating a positive and significant relationship between some main dimensions of FinTech and entrepreneurial intention and emphasizing the contribution of related knowledge to intellectual capital accumulation through entrepreneurial education, this study seems to be unique in examining and verifying this potential effect.