Search results

This study aims to investigate the effects of open innovation (OI) and big data analytics (BDA) on reflective knowledge exchange (RKE) within the context of complex collaborative networks. Specifically, it considers the relationships between sourcing knowledge from an external environment, transferring knowledge to an external environment and adopting solutions that are useful to appropriate returns from innovation.

This study analyzes the connection between the number of patent applications and the amount of OI, as well as the association between the number of patent applications and the use of BDA. Data from firms in the 27 European Union countries were retrieved from the Eurostat database for the period 2014–2019 and were investigated using an ordinary least squares regression analysis.

Because of its twofold lens based on both knowledge management and OI, this study sheds light on OI collaboration modes and highlights the crucial role they could play in innovation. In particular, the results suggest that OI collaboration modes have a strong effect on innovation performance, stimulating the search for RKE.

This study furthers a deeper understanding of RKE, which is shown to be an important mechanism that incentivizes firms to increase their efforts in the innovation process. Further, RKE supports firms in taking full advantage of the innovative knowledge they generate within their inter-organizational network.

This paper investigates the user entrepreneurship process in the video game industry, and how this process is influenced by the interactions between user entrepreneurs and communities.

The paper presents an exploratory multiple case study on 17 firms founded in the video game industry by Italian users.

The findings show that in most of the cases analysed, innovation by users precedes identification of the entrepreneurial opportunity. This research identifies three categories of communities that provide different forms of support to user entrepreneurs: communities of (1) gamers/users, (2) developers/innovators and (3) entrepreneurs. Given the different role played, the three categories of communities have a different relevance during the various phases of the innovation and entrepreneurial path: communities of gamers/users and of developers/innovators affect innovation development and opportunity identification, while communities of entrepreneurs help users to evolve from opportunity recognition to the start-up of a firm.

This study investigates the video game industry, a context in which user entrepreneurship is under-researched and that is characterized by the intangible nature of the products (while previous studies have mainly focused on physical goods). It contributes to extant literature by revealing that, at the beginning of the end-user entrepreneurial process, there may be not only unmet needs but also “excitement-driven” innovations. Moreover, by analysing the whole entrepreneurial path, the study shows how three categories of communities (gamers/users, developers/innovators and entrepreneurs) provide different forms of support to user entrepreneurs in the different phases of the entrepreneurial process.

The study aims to investigate whether and how digital transformation, in terms of digital collaboration, joint efforts with internal/external partners to achieve common goals and the adoption of digital tools supporting this practice, affect social innovation capital in the context of small innovative enterprises (SIEs).

The research hypotheses derived from the analysis of the literature, evaluating how sharing resources, sharing intensity and digital patterns affect the collective capacity of SIEs to innovate, were investigated by applying multiple regression analysis. Data were retrieved from a sample of Italian SIEs through an online survey.

The main findings suggest that the propensity to spread resources and the sharing intensity positively affect the collective capacity of SIEs to innovate. Also, the effect of resources sharing on collective innovation increases as more digital patterns are used as tools. The connection is weaker for the intensity of resources sharing.

The study is conducted on Italian SIEs, a particular cluster of small and medium enterprises (SMEs). It would be interesting to compare and contrast the results of an analysis of a large sample of international companies, of different sizes and belonging to digital and non-digital sectors.

The results enrich the existing literature on social innovation capital, by clarifying its competitive benefits on the characteristic context of the SIEs and underlining the mediating role of the digital patterns.

Building upon the insights of the resource-based view and internationalization theories, the purpose of this paper is to examine the role networks play in SMEs' readiness for internationalization. By investigating three different types of knowledge sharing, namely economic-setting, market-specific and customer-specific, the study analyzes their effect on SMEs' readiness for internationalization.

The four research hypotheses derived by from the analysis of the literature have been investigated by applying the multiple regression technique. By means of an online survey, 300 valid questionnaires were collected and information from a sample of Italian SMEs belonging to 11 agro-food consortia have been analyzed.

The results suggest that SMEs' readiness for internationalization could be supported by sharing customer-specific, market-specific and economic-setting knowledge with other firms operating within the same agro-food consortium. Additionally, data analysis highlights a negative relation between the risk perception in the process and readiness for internationalization, suggesting the importance of knowledge sharing in reducing the criticality issues of being a newcomer entering international markets.

From a theoretical perspective, this study aims to fill the gap in knowledge management and international relationship marketing literature. Since proposes a combination of different kinds of knowledge that contribute to reducing the criticalities SMEs must face by identifying useful information to be conveyed within the network. From a managerial perspective, the study provides useful insights for the agro-food sector, highlighting how experiential and network knowledge constitutes a pre-condition for managing internationalization complexity and discovering opportunities on foreign markets.

The purpose of this paper is to empirically investigate how big data collected from social media contribute to knowledge management practices, innovation processes and business performance.

The study used 418 questionnaires collected from firms that actively invest in marketing, advertising and communication in the Italian market. The hypotheses testing and analysis were conducted using structural equation modeling.

The results reveal that customers’ data gathered from social media produce different effects on knowledge management practices and firms’ innovation capacity. Furthermore, increased innovation capacity turned out to affect customer relationship performance directly, while it contributes to gain better financial performance only when it is used to gain relational outcomes.

The outcomes of the study help firms to develop a clear understanding about which big data retrieved from social media can be useful to improve their knowledge management practices and enhance their innovation capacity. Moreover, by investigating the mediating role of big data knowledge management in the context of social media knowledge acquisition and innovation capacity, this study also extends the mediation variables used to understand the relationship between knowledge capabilities and practices and innovation constructs.

The purpose of this study is to develop an analytical comparison between the impact of social media communication (both user-generated and firm-created) and the effects of traditional media communication. In particular, the components of customer-based brand equity and any difference in the effects according to brand origin associations are investigated. The target group consisted of fans and followers of beer brands on social media.

In all, 192 questionnaires were collected a survey link that was posted on beer brand pages that operate in the Italian market. Structural equation modeling was developed to investigate the impact of social and traditional media communication on brand equity and a multi-group analysis to examine the differences according to the brand names’ origin associations.

Results show that fans and followers cannot be considered as a collective unit. Additionally, consumers make a clear distinction between firm-created/user-generated social media and traditional media communication. Specifically, they distinguish how the effects of the two media outlets differ in relation to the brand origin associations. International brands should concentrate on both firm-created and user-generated communication, whereas national (Italian) brands should foster their firm-created communications. In both cases, however, traditional media communication loses its effectiveness on the brand equity components.

Contrary to existing literature, this project compares the effect of 2.0 and traditional media on various social media platforms, pointing out two different models according to the brands’ origin associations. This study develops interesting insights both for international companies with huge brand portfolios and for national firms in a complex market like those for beer.

Taking jointly into account social commerce and online brand community, this paper aims to investigate how the growth of social commerce and the fast adoption of online brand communities have given firms the opportunity to establish a new kind of community, namely, the social commerce brand community. Adopting a managerial perspective, the research aims to identify the core dimensions of social commerce brand community and shed light on how they contribute in engaging customers and transform them into brand advocates.

Five social commerce retailers operating into five different sectors of activity have been involved in a multiple case study. Data retrieved from semi-structured interviews have been triangulated with information gathered from different sources to provide depth to the cases and enhance data validity.

This study substantiates the rise of social commerce brand community as a new phenomenon that differs from traditional online brand communities and provides firms with concrete support in selling activities and in managing relationships with customers. The multiple case study allows also to detect social commerce brand community core pillars, namely, participants’ identification, participation, conversation and social support. These four elements turned out to be crucial to develop an effective social commerce brand community.

This study extends existing theory on social commerce and online brand community by investigating the social commerce brand community as a new phenomenon and clarifying the fundamental pillars on which it relies.

This study extends existing theory on social commerce and online brand community by investigating the social commerce brand community as a new phenomenon and clarifying the fundamental pillars on which it relies.

This paper analyzes the effect of circular economy practices on firm performance for a circular supply chain and explores the moderating role that big-data-driven supply chain plays within these relationships.

This study uses data collected through an online survey distributed to managers of 378 Italian firms that have adopted circular economy principles. The data are processed using multiple regression analysis.

The results indicate that the three categories of circular economy practices investigated – namely circular economy supply chain management design, circular economy supply chain relationship management and circular economy HR management – play a crucial role in enhancing firm performance from a circular economy perspective. A big-data-driven supply chain acts as a moderator of the relationship between circular economy HR management and firm performance for a circular economy supply chain.

This study makes a number of original contributions to research on circular economy practices in a big-data-driven supply chain and provides useful insights for practitioners. First, it answers the call to capture digital transformation trends and to extend research on sustainability in supply chain management. Second, it enhances the literature by investigating the relationships between three different kinds of circular economy supply chain practices and firm performance. Finally, it clarifies the moderating role of big data in making decisions and implementing circular supply chain solutions to achieve better environmental, social and economic benefits.

This paper aims to conduct a tertiary review to analyse the state of the art of literature reviews on knowledge management (KM) published in academic journals and provide an overview of their evolution. From 2000 to 2022, about 500 reviews have been published in the KM field, with most systematic studies compared to bibliometric or meta-analytic studies, and an absence of previous tertiary studies. Therefore, given the lack of previous tertiary research, this paper provides a complete picture of the evolution of review topics in the past and presents implications for both researchers and practitioners.

A classification scheme was defined to cluster and evaluate the literature reviews, both in terms of methodological approach and content. Regarding the content, the various secondary papers were classified according to the purpose of the research (state of the art, taxonomy, research agenda and research framework), the unit of analysis (small and medium enterprise, large company, start-up and university), the KM models adopted and the thematic areas addressed. Furthermore, a tertiary review methodology was identified integrating two main approaches: a bibliometric approach for cluster identification and a systematic approach for the discussion.

Two categories of contributions emerge from the results: those concerning research topics that have found a continuous interest over time and those that have not yet found a constant research interest. This latter aspect is relevant to help researchers conduct future literature analysis in KM research to bridge existing research gaps.

This paper provides a unique compendium of search directions to offer a comprehensive overview of the scientific debate about KM. This overview can also be used as a managerial panacea to identify best KM practice guidelines from existing reviews.

This is a unique attempt to conduct a tertiary study on KM for more than two decades by providing insights into the structural body of knowledge through academic progress in the subject of KM. Thus, this study expands the field of KM and provides original approaches for research in the field.