The paper aims to identify the individuals who influence the knowledge sharing processes from an internal social network and to forecast the future knowledge flows that may cross it. Exploratory research is employed, and a four-phase methodology is developed which combines a social network analysis with structural modeling. This is applied to the internal enterprise social network used by a British insurance company. The main results emphasize the most influential groups, their relationships, future knowledge flows, and the connection between the network's heterogeneity and structure, and employees' future knowledge sharing intention. These findings have both theoretical and practical implications. The theory is extended by proving that a social network analysis can be used as a tool for evaluating and predicting future knowledge flows. At the same time, a solution is offered to decision-makers so they will be able to: (i) identify the potential knowledge loss; (ii) determine leaders; (iii) establish who is going to act as a knowledge diffuser, by sharing what they know with their co-workers, and who is going to act as a knowledge repository, by focusing on acquiring increasingly more knowledge; (iv) identify the elements that influence employees' future knowledge sharing intention.
Sustainability practice within supply chains remains in an early development phase. Enterprises still need tools that support the integration of sustainability strategy into their activity, and to align their sustainability strategy with the supplier selection process. This paper proposes a methodology using a multi-criteria technique to support supplier selection decisions by taking two groups of inputs that integrate sustainability performance: supply chain performance and supplier assessment criteria. With the proposed methodology, organisations will have a tool to select suppliers based on their development towards sustainability and on their alignment with the supply chain strategy towards sustainability. The methodology is applied to an agrifood supply chain to assess sustainability in the supplier selection process.
The purpose of this paper is double. First, the research about performance measurement (PM) in small and medium-sized enterprises (SMEs) will be analysed in order to know its evolution. Next, the research gaps in the business context of these companies will be identified. This paper presents a systematic literature review of 131 articles of PM in SMEs between 2006 and 2019. A conceptual framework is proposed to characterize the studies according to three factors: (1) purpose of the approach; (2) scope of PM; and (3) business context in which the studies are articulated. The reviewed papers were selected from Scopus and Web of Science databases. For this study, we considered the works conducted in the manufacturing sector, and excluded those that focused on the services sector.The results show that most of the studies are concentrated in the context of individual company, on the other hand networks, clusters, and supply chains have received less attention. The information collected herein identifies research gaps that have not been dealt with in detail and are transformed into guidelines to be dealt with by new future specific works in the domain of PM in SMEs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.