Knowledge is considered to be an economic driver in today's economy. It has become a commodity, a resource that can be packed and transferred. The objective of this paper is to provide a comprehensive review of the scope, trends and major actors (firms, organizations, government, consultants, academia, etc.) in the development and use of methods to manage innovation in a knowledge-driven economy. The paper identifies the main innovation management techniques (IMTs) aiming at the improvement of firm competitiveness by means of knowledge management. It will specifically focus on those IMTs for which knowledge is a relevant part of the innovation process. The research study, based on a survey at the European level, concludes that a knowledge-driven economy affects the innovation process and approach. The traditional idea that innovation is based on research (technology-push theory) and interaction between firms and other actors has been replaced by the current social network theory of innovation, where knowledge plays a crucial role in fostering innovation. Simultaneously, organizations in both public and private sectors have launched initiatives to develop methodologies and tools to support business innovation management. Higher education establishments, business schools and consulting companies are developing innovative and adequate methodologies and tools, while public authorities are designing and setting up education and training schemes aimed at disseminating best practices among all kinds of businesses.

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Recent literature has suggested that smartphone addiction is negatively associated with users’ psychosocial well-being. Much of the research on this subject, however, is of a correlational nature, which has been pointed out as an important limitation that does not allow distinguishing the antecedents of the consequences. In this study, 416 smartphone users were followed for 1 year (three waves separated by 6 months each) to assess the relationship between smartphone addiction and social support. Cross-lagged model results indicated that social support predicts later addiction to the smartphone and that smartphone addiction decreases social support over time. Growth mixture model results indicated that the decrease in social support during the follow-up year was higher for users with greater smartphone addiction at the beginning of the study. Multivariate and univariate analyses of variance indicated that some personal characteristics of users (extroversion, neuroticism, and sensation-seeking) could affect the evolution of social support related to smartphone addiction. In general, these results suggest that the extensive use of a social communication technology such as the smartphone could have the paradoxical effect of diminishing the psychosocial well-being of its users.

Purpose Lean manufacturing (LM) constitutes a consolidated alternative that has been successfully used to increase company effectiveness and performance. However, different studies have shown that many companies that attempt to integrate LM into their manufacturing operations fail in their efforts. Recent studies have shown that soft practices are a key factor for a successful LM implementation. The purpose of this paper is to analyze an in-depth review of the different human-related lean practices (HRLP) referenced in the recent literature and to identify which of them are more relevant to a successful LM implementation. Design/methodology/approach The findings presented in this paper are based on the results of a study about the situation of LM in Spain carried out with lean production managers and frontline supervisors of 202 Spanish companies with a high percent (74 percent) of international firms with factories in different countries. The implemented methodology uses factor analysis and structural equation modeling. Findings The results shows statistical evidence of the relationship between management’s HRLP (fostering a lean culture, providing support to lean), employees’ HRLP (employee involvement and employee empowerment) and operational performance (OP) (waste reduction and flexibility). Practical implications The results have academic and practical relevance for clarifying lean phenomena, helping managers to define a sequence in which a company should implement HRLP to successfully implement LM and increase its OP. Originality/value This study fills a research gap by exploring the existing causal relationships between a greater number of variables, both dependent and independent in relation to human factors in LM implementations.

This paper analyses how the internal resources of small-and medium-sized enterprises determine access (learning processes) to technology centres (TCs) or industrial research institutes (innovation infrastructure) in traditional low-tech clusters. These interactions basically represent traded (market-based) transactions, which constitute important sources of knowledge in clusters. The paper addresses the role of TCs in low-tech clusters, and uses semi-structured interviews with 80 firms in a manufacturing cluster. The results point out that producer-user interactions are the most frequent; thus, the higher the sector knowledge-intensive base, the more likely the utilization of the available research infrastructure becomes. Conversely, the sectors with less knowledge-intensive structures, i.e. less absorptive capacity (AC), present weak linkages to TCs, as they frequently prefer to interact with suppliers, who act as transceivers of knowledge. Therefore, not all the firms in a cluster can fully exploit the available research infrastructure, and their AC moderates this engagement. In addition, the existence of TCs is not sufficient since the active role of a firm's search strategies to undertake interactions and conduct openness to available sources of knowledge is also needed. The study has implications for policymakers and academia.