PURPOSE: Explore what entrepreneurship and success factors can help drive business to resilience and stability and achieve competitive advantage through innovation in different countries and business realities in the era of digital transformation and turbulent times. METHODOLOGY: Based on the narrative literature review, we present research findings concerning new strategies and outlooks for business innovation in times of many unknowns. Each organization wants to find its way to gain success and create its unique business model, which can capture value creation and innovativeness and be more adaptive, resilient, and stable in critical moments and sustainable over time. FINDINGS: The articles presented in this issue explore the essential factors of business innovation and success in different organizations and the environments in which these businesses function. IMPLICATIONS FOR THEORY AND PRACTICE: This article synthesizes the presented research field’s importance and relevance, connecting its theoretical background with practical research. Recommendations and implications for future trends of this research stream might also be helpful for professionals and academicians. ORIGINALITY AND VALUE: The novel studies presented in this issue were done in five different (developing and developed) countries and business sectors that present human-based and non-human-based factors as crucial factors needed to empower business transformation in a complex world. Each group of elements is essential in business success, and their components are interdependent. We need to look at the interactions and interdependencies of their components in a dynamic and network form and cannot simplify the reality, focusing only on one group of business components and ignoring the other. These unique studies provide a valuable outlook to establish dynamic, adaptive business pathways towards a sustainable and resilient organizational future and propose future research paths needed to execute structural changes in businesses.
The first purpose of the article and the underlying research is to identify trends in the development of the knowledge-intensive services (KIS) sector in selected EU countries and to create forecasts of its further growth. The second purpose is to recognize factors that may help or inhibit Poland from drawing upon the experiences of the analysed countries. Research Design & Methods: We use time-series trend forecasting. Forecasts of the development of the KIS sector in the EU are constructed basing on available time series (2008-2017) using the least square method (LSM). Findings: Knowledge-intensive services are developing with various speed in the EU countries, but an existence of a 'glass ceiling' in the context of a possible level of development can be noted. This 'glass ceiling' is situated on different levels for different groups of countries (higher for the most innovative ones, lower for others). While Poland is on the path of convergence with highly-developed EU countries in respect to the growth of knowledge-intensive services sector, several country-specific factors hinder its ability to enter the path of convergence with the innovation-leaders, thus most probably preventing it from ever reaching the highest 'glass ceiling.' Implications & Recommendations: The innovation policy should not only be oriented to support R&D activities but also support the development of KIS. Contribution & Value Added: The added value of the article lies in filling the gap in the literature concerning the analysed issue. The findings may serve as suggestions for creating innovation policy. Article type: research article
The article predicts how the performance of tasks understood as tasks shared between a dyad can be predicted based on the perceptual difference of behaviors in terms of the digital skills of technology park employees (social actors). Here, employees serve park tenants mainly from the creative, game, IT and multimedia industries, and broadly understood audiovisuals. Research Design & Methods:The questionnaire previously validated by other authors was used to measure employees' digital skills and two non-parametric network statistics tests based on data permutation were conducted: the quadratic assignment procedure (QAP) and the multiple regression quadratic assignment procedure (MRQAP), which are good at error autocorrelation. Findings: The results show that there is a relationship between selected digital skills and tasks shared among employees; digital skills influence behavior patterns, thus increasing or decreasing tasks shared in the workplace; moreover, dyad embedded in an intra-organizational social network is more appropriate for anticipating inherently relational tasks sharing between employees in a knowledge-intensive organization. Implications & Recommendations:The findings contribute to the literature on digital skills and shared tasks from a dyadic and organizational perspective by deepening the understanding of the relationship between a pair of employees. Organizations should apply digital skills training to influence interpersonal relationships and thus the effectiveness of task performance and business processes. It seems necessary to develop and implement policy's assumptions about increasing the digital skill level of its employees.
For many years the European Union has been taking ambitious actions as a part of climate policy and the related greenhouse gasses emission limitations, which are based on the will to become the world leader. These actions are also taken in Poland, as a part of restructuration of the main sectors of economy. Further transformation of Polish economy seems inevitable, especially taking into account the outside conditions and the market economy tendencies. However it is important for the transformations not to cause real threats for Polish economy, but to be used in a way that would create new opportunities and competitive advantages, as well as the increase effectiveness of management and work efficiency. The article aims to present costs related to giving up on conventional energy and increasing the usage of renewable energy sources, and their impact on Polish job market. Keywordseconomic growth • the labor market • climate policy Geomatics, Landmanagement and Landscape No. 4 • 2013, 35-43 http://dx.
The Digital Innovation Hub (DIH) is a relatively young research area emerging on the basis of well-known ideas of technology parks or clusters. DIH is mainly focused on the digital transformation of enterprises and the development of a given region in the context of Industry 4.0 based on digital technology. The European Union is the initiator of the "Digital Europe" program for 2021-2027, aiming to promote the transfer of digital specialist knowledge to economic entities. The authors chose the DIHs operating in Poland as a starting point for network analysis in the context of the technology and services provided by Polish DIHs. This research aims to measure network cohesion, the centrality of individual DIH, and its specialty (exclusivity). It is based on secondary data collected using the Smart Specialization Platform based on which the two two-mode networks have been developed: actor x technology (ATij) and actor x services provided (ASPij). Measurements and visualization were made using two network programs (UCINET and ORA PRO). The following social network analysis techniques were used: 1) Two-mode cohesion: density, diameter, and fragmentation; 2) Two-mode centrality: degree and betweenness, and 3) Two-mode specialty (exclusivity). The results show two-mode networks consisting of the following nodes: 15 actors (A) or DIHs; 29 technologies (T), and 16 services provided (SP) forming a meta-network. They provide an insight into the network structure, most influential actors (DIHs), technologies, and services, as well as the specialty of each DIH in the European country, thus giving rise to further comparative research, using secondary data for the other 26 countries of the European Union.
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