Search results

This study aims to examine the role of organisational democracy (OD) in facilitating the knowledge sharing (KS) process within companies, thus considering the effect of different OD principles.

The authors used data collected through a questionnaire on a sample of 254 employees at private universities and colleges to test the relationship between OD and KS. Data were analysed using the structural equation modelling technique.

Overall, OD has a direct and significant effect on facilitating KS in organisations. Also, the results showed that there are different degrees and intensities among the individual principles (sub-concepts) of OD and KS.

The findings highlight the important role of democracy in an organisation to enhance the organisational climate and employees’ behaviours, thus leading to higher KS outcomes. Also, results, provide an opportunity for managers to consider enhancing democracy in an organisation for improving internal collaboration effectiveness in KS.

This paper sheds light and adds new knowledge to embryonic studies that are directed towards the integration of democracy within the main concept of knowledge management (KM). This emphasises the need to use and stimulate OD and its principles for improving the effectiveness of KM practices with specific attention to KS.

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 paper is to investigate whether Italian listed companies within the food and beverage (F&B) industry adopt sustainable responsible conduct beyond the boundaries of compliance and which industry-specific matters the companies address as core to their business within a regulatory setting of sustainability disclosure.

This study develops a multiple case study of the five Italian listed companies in the F&B industry and employs a content analysis on their sustainability reports.

This study reveals a policies–practices decoupling along with a means–ends decoupling that jeopardises the commitment to sustainability. The results show a reasonable level of compliance, but companies are at an early stage of coherent and practical application.

This study offers practical avenues for companies, regulators and policy makers. Companies in the F&B industry are guided towards the learning process to shape sustainable, responsible practices at the core of their business, as this study provides a replicable assessment of F&B sustainability issues. Regulators and policy makers are called to monitor the concrete implementation of sustainability issues and improve the understanding of the sustainability agenda to overcome the misalignments that companies are currently facing.

This study provides fertile ground for assessing the degree of maturity in favour of sustainable responsible conduct within the F&B industry and shows the obstacles to this commitment in the mandatory setting of sustainability disclosure.

The purpose of this research is to verify whether the disclosure of intellectual capital (IC) positively affects the level of integration of financial and sustainability information.

The sample of the analysis relies on European public companies. The data were gathered from Refinitiv, focussing on a multi-year observation from 2013 to 2021 and performing a fixed-effect regression. According to the extant literature, the authors developed the Intellectual Capital Score and the Integrated Thinking and Reporting Score.

The more disclosure of IC, the more financial and sustainability information is integrated. Indeed, the results confirm that the disclosure of IC enhances the level of integration of financial and sustainability information.

The study enriches academic knowledge about IC in conjunction with integrated reporting (IR) and integrated thinking by highlighting its relevance in the value-creation process and acting as a trait d’union of the disciplines.

For standard setters, the research may be framed to redefine the guidelines explaining the information on IC to be disclosed. Moreover, it could be helpful for practitioners when identifying the IC information that deserves to be disclosed, other than being exploitable to conduct enterprises geared towards adopting integrated reports.

This study answers the call for further research on the relationship between financial information and sustainability information to highlight their joint perspectives quantitatively.

In this research, extracting the innovation drivers of successful crowdfunding from the literature review, screening them for the entrepreneurial small- and medium-sized enterprises (SMEs), analysing the cause-and-effect relationship amongst them and presenting a basic causal conceptual model and eventually determining the importance/weight of each relevant driver were the primary purposes of this research. As a result, the authors have also designed a score function to measure the future innovative crowdfunding score for SMEs.

A multi-layer multi-criteria decision-making (MCDM) approach has been designed and employed to achieve research objectives. After extracting the initial list of drivers, Fuzzy Delphi was applied to screen the relevant innovation drivers of successful crowdfunding for entrepreneurial SMEs. Decision-making trial and evaluation laboratory (DEMATEL) was used to analyse the cause-and-effect relationship amongst the drivers and illustrate a basic conceptual model. Analytical network process (ANP) and Stepwise Weight Assessment Ratio Analysis (SWARA) were applied to determine the importance of the drivers and by aggregating them to measure the innovative crowdfunding score.

Initially, 28 innovation drivers of successful crowdfunding were extracted from the literature. Then by employing the first-round Delphi fuzzy method amongst 15 international entrepreneurs in SMEs, the relevant drivers, including eleven items, were screened and selected. Then by implementing the DEMATEL method, the relationship amongst these screened drivers was identified, and seven drivers were determined as causes and the rest as effects. Subsequently, a conceptual model based on the causal analysis of the drivers from the DEMATEL method was designed. Eventually, by aggregating the weight of drivers emanated from SWARA, DEMATEL and DANP, the score function for measuring the situation of an SME was designed.

According to the crowdfunding scores in this research from entrepreneurs of SMEs, influential factors in developing countries were recognised as two times more prominent in developing countries. This might be rooted in the circumstances of developing countries where many startups and SMEs are emerging in vast areas and different fields due to investment in innovation management. In these countries, the authorities and officials support these companies to empower their capabilities and innovative ideas to (1) deal with the severe competitive market and (2) benefit from them as potential economic engines. Therefore, crowdfunding platforms and public initiatives can be considered one of the most effective government supports, which may involve financial risks.

To the best knowledge of the authors, investigating the innovation drivers of successful crowdfunding via quantitative analysis by multi-layer decision-making approaches has not been considered previously. Moreover, the authors have designed a crowdfunding score function to determine the situation of an entrepreneurial SME in this area. A combination of different MCDM methods, including Fuzzy Delphi, SWARA, DEMATEL, ANP and DANP, to investigate the innovation drivers of successful crowdfunding in SMEs has not been considered previously.

This paper explores the outcomes of the external revealing of knowledge. More specifically, we aim to understand how external revealing of knowledge can be seen as value creation in the craft beer industry.

A single-case study methodology is used to answer the research question “What are the outcomes of the external revealing of knowledge?”

The research highlights several dynamics and outcomes regarding the external revealing of knowledge, mainly connected to creating value for the industry, strengthening a firm's network, enhancing the culture of the territory, gaining access to knowledge, and guaranteeing market competitiveness.

A few studies have addressed a specific aspect of outbound open innovation, which involves free revealing of knowledge to external stakeholders. Previous works are mostly conceptual; thus, there is a lack of empirical studies about revealing strategies. This research empirically analyzes the outcomes of the external revealing of knowledge and, more generally, of an open innovation approach.