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This research unpacks the micro-mechanisms that exist between an organisation's ability to conduct big data analytics (BDA) and its achievement of strategic flexibility. Knowledge management capabilities and organisational ambidexterity have long been considered factors influencing the aforementioned relationship. In order to assess this, the authors build on dynamic capabilities as the main theoretical lens through which to examine.

Structural equation modelling (SEM) is the main methodological approach used in this research. A structural model was developed and tested based on 215 survey responses collected from managers of organisations in continental Europe.

The results indicate that BDA capabilities are a significant antecedent of an organisation's strategic flexibility. This relationship, however, is influenced by knowledge management capabilities and ambidexterity.

Managers wishing to properly exploit the potential of big data should invest in the elaboration of knowledge management processes across their organisation. This strategy can foster strategic flexibility.

Previous research has explored the theoretical links between big data, knowledge management and strategic flexibility. However, little attention has been paid to the quantitative investigation of the phenomenon.

The aim of this research was to explore the mechanisms underpinning open innovation (OI) success and its sustainability in agrifood businesses. First, the authors explored the importance of 4.0 technologies in data collection from crowds, subsequently examining how new technologies might drive forward the development of collaborative strategies with suppliers. Reductions in resource wasting were observed. The role of 4.0 technologies in increasing supply chain sustainability overall was the main focus of the study.

This research builds on a single inductive case study method. The authors performed an in-depth analysis of data from an Italian agritech distributor. Data – aside from multiple semi-structured interviews – were collected via several different sources. The results have been summarized in an integrated holistic conceptual framework.

The findings show that 4.0 technologies allow for swift information exchanges between consumers, the agritech business and suppliers. As a result, consumers might demand new products and, consequently, the agritech business can arrange new offerings with suppliers, completing the OI and shared value creation circle. Likewise, the possibility of adopting a just-in-time approach of sorts may reduce the wasting of resources. The absorptive capacities and knowledge management capabilities of the agritech business play a fundamental role in OI performance, sustainability and success.

This research seminally explores how 4.0 technologies and knowledge management techniques can enable OI in agrifood businesses. Additionally, the ways in which OI may foster the development of sustainability-orientated supply chain strategies have been conceptualized.

This paper presents an in-depth investigation on how brands may concur to the co-creation of consumers’ experiences. In particular, the purpose of this paper is to clarify the main types of co-created experiences that consumers may encounter as a result of social media brand communities.

To identify the main types of co-created experiences, a digital investigation has been used as the main method of analysis. The authors draw their digital investigation on the digital methods paradigm.

Four principal types of co-created experiences have been identified and conceptualized, namely, brand’s products’ individual usage experiences, auto-celebrative experiences, brand’s products’ communal usage experiences and collective celebration experiences.

Results stress the importance for brand strategists to involve members of social media brand communities to stimulate co-creation experiences. Specifically, it emerges that the simultaneous interaction among members of the community and the brand may directly affect co-creation experiences.

La presente investigación se propone analizar en profundidad cómo las marcas pueden estar de acuerdo con la co-creación de las experiencias de los consumidores. En particular, el objetivo de la investigación es aclarar cuáles son los principales tipos de experiencias co-creadas que los consumidores pueden experimentar debido a su participación en las comunidades de marcas de redes sociales.

Para hacerlo, en primer lugar, se han identificado los factores que influyen en la co-creación de las experiencias de los miembros de las comunidades de marcas. En particular, el punto de partida de esta investigación está representado por el papel de otros consumidores y de la marca en la co-creación de experiencias. Con el fin de identificar los principales tipos de experiencias co-creadas, se ha utilizado una investigación digital como el principal método de análisis. Dibujamos nuestra investigación digital en el paradigma de Métodos Digitales.

Se identificaron y conceptualizaron cuatro tipos principales de experiencias co-creadas.

Los resultados enfatizan la importancia de que los estrategas de marca involucren a los miembros de las comunidades de marcas de medios sociales para estimular la co-creación de experiencias. Específicamente, surgió cómo la interacción simultánea de otros miembros de la comunidad y la marca puede afectar la co-creación.

Co-creación de valor, Comunidades de marca, Experiencias de los consumidores, Experiencias co-creadas, Investigación digital, Marketing experiencial

The purpose of this paper is to investigate the micro-linkages fostering consumers’ e-loyalty in grocery retailers B2C e-commerce context. Specifically, the authors focused on the neglected role of security, privacy and website design. Grocery retailing has been selected as the context of research because grocery retailers too have been required to develop B2C e-commerce platforms to meet their consumers’ evolving preferences.

A survey was distributed to several students from University of Florence (Italy). Structural equation modeling was used to compile the research, and its results reflect the impact on e-loyalty development on specific features of the e-commerce environment.

The main findings of this research are related with the importance of website characteristics as antecedents of e-loyalty in online grocery retailing.

Albeit the explored phenomenon has been subject to extensive study, some of its facets are yet to be fully explored. In particular, though the influence of e-trust, e-satisfaction and e-commitment on e-loyalty has been shown, little attention has been paid to the factors affecting these three antecedents of e-loyalty. In this regard, this research focuses on the importance of B2C e-commerce platform characteristics such as security, perceived relationship investment and website design. In addition, the phenomenon was scarcely explored in grocery retailers B2C e-commerce context.

Recently, several manuscripts about the effects of big data on organizations used dynamic capabilities as their main theoretical approach. However, these manuscripts still lack systematization. Consequently, the purpose of this paper is to systematize the literature on big data and dynamic capabilities.

A bibliometric analysis was performed on 170 manuscripts extracted from the Clarivate Analytics Web of Science Core Collection database. The bibliometric analysis was integrated with a literature review.

The bibliometric analysis revealed four clusters of papers on big data and dynamic capabilities: big data and supply chain management, knowledge management, decision making, business process management and big data analytics. The systematic literature review helped to clarify each clusters’ content.

To the authors’ best knowledge, minimal attention has been paid to systematizing the literature on big data and dynamic capabilities.

The purpose of this article is to develop a configurational approach based on the TOE framework (technology, organization and environment) to understand the degree of implementation of I4.0 technologies in manufacturing small- and medium-sized enterprises (SMEs). Specifically, the study considers technological infrastructure and competence, I4.0 integration capabilities, organizational agility and strategic flexibility, environmental dynamism and industry-specific forces as simultaneous pre-conditions for achieving an effective implementation of I4.0 technologies.

This study uses the fuzzy-set qualitative comparative analysis (fsQCA) methodology as it allows for asymmetric and configurational-focused testing of proposition and sound theoretical development. In total, 305 responses were collected through a survey administered to SME managers in Europe and the United Kingdom (UK).

The study examines the influence of technology, organizational and environmental aspects on I4.0 technologies implementation in SMEs. High I4.0 degree of implementation is structured around 5 configurations, while other 4 configurations are related to low levels of I4.0 implementation.

This study proposes a configurational approach for SMEs to become I4.0 ready and how they may successfully implement I4.0 technologies. Such findings represent an original and novel contribution to existing research, offering a broad view on the I4.0 implementation by manufacturing SMEs.

The purpose of this paper is to analyze the relationship between knowledge management capabilities and successful open innovation within agri-food businesses. This particular piece of research focuses on agri-food businesses which utilize crowdfunding platforms.

The research adopts a survey-based methodology, which is useful in enhancing the generalization of results. The final sample includes 80 cases for the analysis. The model and the hypotheses were tested through a hierarchical regression model.

This research assesses the importance of knowledge management capabilities for successful open innovation in crowdfunding for agri-food businesses. In particular, it emerged that IT-based knowledge exploitation capabilities are enablers of open innovation strategies. Additionally, it emerged that knowledge exploration capabilities can positively mediate the relationship between IT-based knowledge exploitation capabilities and open innovation in the context of agri-food businesses.

To the authors’ best knowledge, few researchers have explored this topic and, as such, there is a need to better conceptualize this intriguing phenomenon and to provide empirical evidence to support it.

The purpose of this paper is to explore the effect of big data analytics-capable business process management systems (BDA-capable BPMS) on ambidextrous organizations’ agility. In particular, how the functionalities of BDA-capable BPMS may improve organizational dynamism and reactiveness to challenges of Big Data era will be explored.

A theoretical analysis of the potential of BDA-capable BPMS in increasing organizational agility, with particular attention to the ambidextrous organizations, has been performed. A conceptual framework was subsequently developed. Next, the proposed conceptual framework was applied in a real-world context.

The research proposes a framework highlighting the importance of BDA-capable BPMS in increasing ambidextrous organizations’ agility. Moreover, the authors apply the framework to the cases of consumer-goods companies that have included BDA in their processes management.

The principal limitations are linked to the need to validate quantitatively the proposed framework.

The value of the proposed framework is related to its potential in helping managers to fully understand and exploit the potentiality of BDA-capable BPMS. Moreover, the implications show some guidelines to ease the implementation of such systems within ambidextrous organizations.

The research offers a model to interpret the effects of BDA-capable BPMS on ambidextrous organizations’ agility. In this way, the research addresses a significant gap by exploring the importance of information systems for ambidextrous organizations’ agility.

The purpose of this paper is to unpack the underlying mechanisms of entrepreneurs' passion, orientation and behavior by investigating the role of rational and nonrational cognitive elements. Building on dual process theory and sociointuitionism, a conceptual model is proposed in order to explore the relationship between entrepreneurial passion, entrepreneurial orientation (EO) and strategic entrepreneurship behavior (SEB). Specifically, entrepreneurs' linear thinking styles (System 2) and nonlinear thinking styles (System 1) are hypothesized as being significant moderators of such a relationship.

Covariance-based structural equation modeling (CB-SEM) is used to empirically validate the proposed conceptual model and test the moderating hypotheses on a sample of 300 entrepreneurs actively involved in European small and medium enterprises (SMEs).

Entrepreneurial passion is shown to be a significant antecedent of EO, which, in turn, strongly influences SEB. Moreover, entrepreneurs' linear thinking style positively moderates the EO-SEB relationship, but not the link between passion and EO. Instead, a nonlinear thinking style positively moderates the relationship between passion and EO, but not the links between EO and SEB.

Entrepreneurs should trust their nonlinear thinking style – related to affective/emotive and intuitive information processing systems – to foster the effect of their entrepreneurial passion on EO. Furthermore, entrepreneurs should rely on a linear thinking style, namely the rational and deliberative cognitive processes, to enhance the impact of their EO on SEB.

Dual process theory and sociointuitionism are integrated to simultaneously investigate the effect of nonrational and rational cognitive mechanisms on entrepreneurs' orientation and behavior. Moreover, the proposed model is empirically tested on a sample of entrepreneurs working in SMEs located in Europe, which have received little attention from entrepreneurship scholars in comparison to their US counterparts. The authors’ findings suggest important implications for entrepreneurs, policymakers and entrepreneurial universities educators.

Using an enhanced version of the theory of reasoned action (TRA), this study investigates the antecedents of organic quinoa-based food buying intention. In addition to attitude toward this behavioral intention, the proposed model examines the influence that ecological welfare, political values, and consumer-perceived corporate social responsibility (CSR) of the point of sale exert on consumer willingness to purchase organic quinoa-based food.

Structural equation modeling (SEM) was used to analyze the data collected through an intercept survey conducted at specialized organic stores on a convenience sample of 158 individuals in Italy.

Although ecological welfare and a retailer's CSR image positively influence consumer attitude toward buying organic quinoa-based food, political values negatively affect this attitude. Furthermore, consumer attitude is found to be a crucial predictor of behavioral intention.

At the theoretical level, the results are useful for demonstrating that other variables, in addition to those used in the traditional TRA, can further explain consumers' organic food buying intention. Additionally, the findings might be useful for both quinoa producers and retailers in creating and executing their marketing and communication strategies.

In addition to contributing to the stream of literature that investigates possible variables that might increase the predictive power of the TRA, this study sheds some light on organic food purchasing consumer behavior.