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This study aims to propose and test a theoretical model exploring the impact of internal and external factors of social media use by IT organisations on open innovation (OI) adoption with the mediating effect of knowledge management capabilities.

Data were collected from 200 IT firms and partial least squares structural equation modelling was used to analyse the data of this study and to test the research hypotheses.

The results revealed that both customer involvement in social media and top management support (TMS) for social media had a significant impact on OI adoption. However, only the relationship between TMS for social media usage and OI link was mediated by knowledge management capability.

This study stresses the importance of social media policy development for business managers to create an interactive platform for their customers to participate in the activities of the firm. Moreover, the results suggest that for developing open knowledge management capabilities, leaders must focus on and support the use of social media technologies by the firms.

Social media technologies have taken the world by storm. Organisations and individuals are influenced by the knowledge available on Web 2.0 platforms. Most of the current research has focussed on the impact of social media use on OI in developed countries, but developing nations on the Asian continent have been left out of this discussion. Moreover, while most studies have focussed on the OI outcomes, less efforts have been directed towards understanding and exploring the OI antecedents.

The purpose of this paper is to explore how big data can shape ambidextrous business process management (BPM) in terms of exploitation and exploration.

A qualitative methodology involving case studies has been chosen to explore the impact of big data deployment on exploitative and explorative business processes.

The results of case studies offer some opportunities and challenges for service firms related to both the exploitative and the explorative aspects of BPM driven by big data.

The deployment of big data in business processes has attracted a large amount of interest recently. However, these studies are mostly conceptual, so empirical research about this complex relationship is quite rare, especially research with specific arguments regarding exploitative and explorative activities. This paper aims to fill this gap by offering empirical evidence for big data-driven business processes.

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.

The increasing adoption of digital technologies such as social media have changed the way consumers share knowledge about products and services among each other. The aim of this paper is to test what factors drive customers to share knowledge about products and services on social media pages.

A quantitative survey design was employed for this study. Empirical data were drawn from 358 consumers in Italy, using a purposive sampling technique. The hypothesised relationships were tested using ordinary least squares regression modelling.

The results of this study reveal that the usage frequency of online reviews (UFORs), social bonds (SBs), subjective happiness (SH) and reciprocity positively impact on customer knowledge sharing (CKS). By contrast, the perceived usefulness of online reviews (PUORs), helping others, customer susceptibility to interpersonal influence (CSII) and informational (INFO) do not impact CKS.

To the best of the authors' knowledge, this study is amongst the first to empirically test the antecedents of knowledge-sharing behaviours about products and services on online social media. The present work offers relevant implications for theory. First, the work enriches the customer knowledge management (CKM) theory by providing empirical evidence on factors leading to the higher sharing of knowledge amongst customers. Second, the work adds to the literature on social media, demonstrating the individual determinants on knowledge-sharing behaviours about products and services in online communities. Practically speaking, this paper identifies some key elements driving CKS in social media conversations. Thus, building upon the findings of this study, the authors provide some guidelines for social media managers and retailers for promoting CKS on social media pages.

Since the first definition of open innovation (OI), the indivisible relationship between this concept and entrepreneurship was undeniable. However, the exact mechanisms by which an entrepreneurial approach may benefit OI processes and vice versa are not yet fully understood. The study aims to offer an accurate map of the knowledge evolution of the OI–entrepreneurship relationship and interesting gaps to be filled in the future.

The study adopted a bibliometric analysis, coupled with a systematic literature review performed over a data set of 106 peer-reviewed articles published from 2005 to 2020 to identify thematic clusters.

The results show five thematic clusters: entrepreneurial opportunities, organisational opportunities, strategic partnership opportunities, institutional opportunities and digital opportunities for OI. Investigating each of them, the authors created a framework that highlights future avenues for further developing the topic.

This study is the first of its kind to systematise, analyse and critically interpret the literature concerned with the topic of the OI–entrepreneurship.