Managing stimulation of regional innovation subjects’ interaction in the digital economy

The reported study was funded by RFBR according to the research project No. 18-01000204_a, No. 16-07-00031_a, No. 18-07-00975_a.Purpose: The article is devoted to solving fundamental scientific problems in the scope of the development of forecasting modeling methods and evaluation of regional company’s innovative development parameters, synthesizing new methods of big data processing and intelligent analysis, as well as methods of knowledge eliciting and forecasting the dynamics of regional innovation developments through benchmarking. Design/Methodology/Approach: For regional economic development, it is required to identify the mechanisms that contribute to (or impede) the innovative economic development of the regions. The synergetic approach to management is based on the fact that there are multiple paths of IS development (scenarios with different probabilities), although it is necessary to reach the required attractor by meeting the management goals. Findings: The present research is focused on obtainment of new knowledge in creating a technique of multi-agent search, collection and processing of data on company’s innovative development indicators, models and methods of intelligent analysis of the collected data. Practical Implications: The author developed recommendations before starting the process of institutional changes in a specific regional innovation system. The article formulates recommendations on the implementation of institutional changes in the region taking into account the sociocultural characteristics of the region’s population. Originality/Value: It is the first time, when a complex of models and methods is based on the use of a convergent model of large data volumes processing is presented.peer-reviewe

About the relations between Management Accounting Systems, Intellectual Capital and Performance

The present study is focused on the contribution of management accounting systems (MAS) in the development of intellectual capital (IC). Based on empirical evidence that supports the proposition that the value creation process is strongly associated to the level of IC, the study also examines the mediating effect of MAS on performance through their positive direct effect on IC. These relationships were consolidated into a model and empirically tested with data from 281 Portuguese firms using the Structural Equation Modeling (SEM). The findings show that six out of nine hypothesized relationships were supported by data with positive and significant causal links between MAS and the human and structural dimensions of IC. Results confirmed the conceptual validity of the circular model for the interactions among the three IC dimensions. Results also showed a positive and significant direct effect of structural capital on performance. Overall, the results confirmed the validity of the proposed model and contributed to the literature on the role of MAS in supporting the development of the I

The Impact Of Technology Trust On The Acceptance Of Mobile Banking Technology Within Nigeria

With advancement in the use of information technology seen as a key factor in economic development, developed countries are increasingly reviewing traditional systems, in various sectors such as education, health, transport and finance, and identifying how they may be improved or replaced with automated systems. In this study, the authors examine the role of technology trust in the acceptance of mobile banking in Nigeria as the country attempts to transition into a cashless economy. For Nigeria, like many other countries, its economic growth is linked, at least in part, to its improvement in information technology infrastructure, as well as establishing secure, convenient and reliable payments systems. Utilising the Technology Acceptance Model, this study investigates causal relationships between technology trust and other factors influencing user’s intention to adopt technology; focusing on the impact of seven factors contributing to technology trust. Data from 1725 respondents was analysed using confirmatory factor analysis and the results showed that confidentiality, integrity, authentication, access control, best business practices and non-repudiation significantly influenced technology trust. Technology trust showed a direct significant influence on perceived ease of use and usefulness, a direct influence on intention to use as well as an indirect influence on intention to use through its impact on perceived usefulness and perceived ease of use. Furthermore, perceived ease of use and perceived usefulness showed significant influence on consumer’s intention to adopt the technology. With mobile banking being a key driver of Nigeria’s cashless economy goals, this study provides quantitative knowledge regarding technology trust and adoption behaviour in Nigeria as well as significant insight on areas where policy makers and mobile banking vendors can focus strategies engineered to improve trust in mobile banking and increase user adoption of their technology

IMC customer-based perception: strategic antecedents and consequences on post-purchase customer behaviour

Last decades Integrated Marketing Communications (IMC) have been mainly analysed from a managerial perspective, overlooking the customer opinion. Thus, this research studies IMC customer-based perception, its strategic antecedents and consequences on post-purchase customer behaviour (satisfaction, word-of-mouth recommendations, and repurchase intention), from a multi-country perspective. The structural equation modelling and multi-group analysis are based on the customers´ survey data in Belarus and Spain. The results suggest that technology orientation positively affects IMC, and, customer orientation does not. IMC positively affects customer satisfaction, which in turn positively impacts on WOM and repurchase intention. WOM does not influence on repurchase intention. IMC directly affects WOM and repurchase intention in Spain and does not in Belarus, which is the significant country difference

Neo-Industrial Technological Convergence and Social Wellbeing

The article reveals the relationship between industrial development and the level of social wellbeing of the population. It is noted that the market transformation of Russian economy caused technological degradation and industry stagnation, which resulted in the drop of the social wellbeing of citizens who retired. The authors determined that technological industrial degradation is having a particularly negative impact on the life quality. This makes the social wellbeing of the population in the country, passing through the painful market reforms, not life-time, with marginalization of the majority of senior citizens. For the formation of a truly life-time social wellbeing in countries with transitive economy such as Russia, it is necessary to restore its industry on a new technological basis - neo-industrialization. Its implementation in Russian economy requires a number of phases during which natural resources should to be used to restore the competitive manufacturing industry, form the basis of an innovative economy and modern high-tech industries. Long time required for neo-industrialization of transitive economies, allows to create a social group with the life-time wellbeing, which will be determined not by the high social state benefits, but by the possibility of long-term usage of gained professional experience. Convergent technologies are being formed in innovative clusters of network type, and help to establish the life-time wellbeing for specialists who used them for their whole life. Primarily forming of life-time wellbeing in the segment of convergent technologies requires the integration of social and innovation governmental policy, support of the developing network information clusters

The Analysis of Social Wellbeing Indicators in the Context of Russian Economy Structural

At present time the issues of Russian economy neo-industrialization are extremely important as well as social wellbeing growth. In major extent Russian economy structural transformation touches its investment, banking, innovation systems and labor market. These structural changes must be directed to restoring industry on a new technological base. But it is impossible to modernize industry without combinatorial innovative development of its key sectors with following development of high-tech productions using convergent technologies. The ultimate public goal of neo-industrial changes of economy is a growth of social wellbeing, so the study of its technological, financial and managerial components must be accompanied by social indicators of neo-industrialization analysis. Commonly used indicators of social wellbeing do not demonstrate connections between life quality and the level of industrial technologies, investments and structural changes caused by scientific and technical progress and globalization. Therefore it is necessary to analyze different factors and indictors of social wellbeing, connected with investment in new technologies and industry upgrading, the influence of these processes on labor market. Such analysis must help to estimate the whole picture of the influence of Russian economic reforms on social wellbeing

The Influence of the Digital Economy and Women's Empowerment on the Family Economy

This study aims to ascertain the effect of the digital economy and women's empowerment on the family economy. SMEs communities in Tangerang City, Banten Province, were included in this study. The sampling technique utilized is a combination of probability sampling and random sampling. They are compiling data through the use of a questionnaire. The maximum number of people whose data can be analyzed is 97. This study used Partial Least Squares to analyze the data (PLS). The findings indicated that (1) the construct of the digital economy had a positive and significant effect on women's empowerment, with a statistical T value of 2.990; (2) the construct of women's empowerment had a positive and significant effect on the family economy, with a statistical T value of 7.141; and (3) both the digital economy and women's empowerment had a positive and significant effect on the family economy, with a statistical F value of 242.61

The Influence of the Digital Economy and Women's Empowerment on the Family Economy

This study aims to ascertain the effect of the digital economy and women's empowerment on the family economy. SMEs communities in Tangerang City, Banten Province, were included in this study. The sampling technique utilized is a combination of probability sampling and random sampling. They are compiling data through the use of a questionnaire. The maximum number of people whose data can be analyzed is 97. This study used Partial Least Squares to analyze the data (PLS). The findings indicated that (1) the construct of the digital economy had a positive and significant effect on women's empowerment, with a statistical T value of 2.990; (2) the construct of women's empowerment had a positive and significant effect on the family economy, with a statistical T value of 7.141; and (3) both the digital economy and women's empowerment had a positive and significant effect on the family economy, with a statistical F value of 242.61