Purpose: The advancement of technologies and their adoption affects the socio-economic growth of nations. This research is focused on how this innovation adoption path is linked to economic growth of nations since the previous IT revolution has been combined with existing industries and adding values in terms of applying intelligence through adopting digital technologies. Approach/Design/Methodology: There are two different approaches—process approach and factor approach—in innovation adoption research. Innovation diffusion research, which is one of the process approaches, is related to adoption, diffusion, and impact theories, but there are limitations in explaining the perspective of a nation other than individual and organization on the basis of previous literatures. Therefore, we build the integrative model to verify innovative growth path of nations by applying Diffusion of Innovation Theory (DoI) and Technology (T)-Organization (O)-Environment (E) framework, which can explain factors of affecting innovation. We evaluate eight hypotheses with data collected from 137 to 212 nations using international information index by credible organizations: World Economic Forum (WEF), World Bank, United Nations (UN), and International Communications Union (ITU), based on the integrative model we proposed. The path analysis using Structural Equation Modeling (SEM) is performed, and the result shows that the path from technological innovation capabilities (T), human capital (O), and environment (E) is related directly to economic impact, except for the path from human capital to value chain breadth directly and indirectly. The indirect path through Information and Communication Technology (ICT) access, use, and value chain helps to understand the full impact of digital innovation. Practical implications: By verifying this relationship, we expect to give suggestions in policy perspective and in building strategy towards innovative growth of countries. Our results show that technological innovation capabilities take time to show impact in terms of economic growth than the other factors, which are human capital, and political and regulatory environment of country. The nurture of human capital directly affects to the economic growth of nations relative to other T and E factors. The political and regulatory environment support stable ICT usage, which gives impact to the economic growth of nations.

With the introduction of a wide variety of new technologies during the fourth industrial revolution, companies in Korea have attempted to enhance their innovation activities, which include investment in new technology adoption, technical and non-technical innovation factors, and Research & Development (R&D) activity, to ensure the development and growth of their business performance and sustainability. In particular, IT and business services, two important industries in Korea, have been impacted by the development of new technology and have sought to adopt new technologies as soon as possible to survive in a rapidly changing business environment. The aim of our study is to empirically explore the effect of innovation activities on the performance of Korean IT and business service companies. To achieve this aim, we examine the innovation activities and business performance of 160 companies (80 large companies and 80 small- and medium-sized enterprises (SMEs)) in the IT and business service industries in Korea from 2009 to 2017. This study empirically analyzes panel data using fixed effect and random effect models with Hausman tests. According to our results, an improvement in product innovation has a positive impact on business performance (i.e., revenue and labor productivity) in both large companies and SMEs, as does R&D investment, research resources, and company age. However, an improvement in process innovation only has a positive impact on the business performance of large companies, and R&D cooperation only has a positive impact on the business performance of SMEs. As a result, both large companies and SMEs should concentrate on technological innovations to improve their sustainability and thus ensure their success in the long term.

Purpose: As the development of high technology, information and communications technology (ICT) and e-government has pursued improving efficiency, productivity, democracy, responsiveness and transparency in government, the demand for efficient government administration systems and government transparency has increased. Thus, this study aims to derive factors contributing to decreases in corruption based on a literature review, and to examine the relationship between e-government and government corruption through a cross-country analysis. Design/Methodology/Approach: This study first analyzed how government corruption in each country is influenced by e-government user status, governance, and regulations. With ICT and e-government development as mediating variables, the effects of various factors on government corruption were examined by country. That is, the mediating effects of ICT use and e-government development (telecommunication infrastructure, online service, e-participation) were assessed in order to define the relationship between users, governance, regulations and government corruption. This study ensured objectivity of data by utilizing statistics provided by credible organizations such as the Transparency International (TI), Organization for Economic Cooperation and Development (OECD) and United Nations (UN) and differs from past research in that it focused on the mediating effects of e-government. In this study, a cross-country analysis (with data from 120 countries), a three-step analysis of the mediating effects (Baron and Kenny, 1986) and a Sobel test (empirical analysis) were used. Results: The results of the analysis show a significant relationship between e-government user levels, governance, government regulation, and government corruption. In addition, the level of current ICT development and e-government partially mediated the effects of user levels, governance and government regulation on decreases in government corruption. These results show that the development of ICT and e-government mediate and contribute to a decrease in government corruption, and that increased utilization of ICT and monitoring government actions using such technologies will be one major factor in decreasing government corruption. Implications: These findings suggest an efficient and effective direction for future anti-corruption strategies in government policy making and implementation processes.

The purpose of this study is to analyze the effects of job mismatch on pay, job satisfaction, and performance of doctoral level researchers, based on the job-environment fit theory. The study analyzed 2273 sample data used in the survey, based on the ‘2013 Ph D. Research Survey’ from the Institute for Science and Technology Policy (STEPI) in Korea. The results showed that the degree of job-mismatch of doctors has a significant effect on overall pay, job satisfaction, and performance. Specifically, job mismatch of the Ph.D. workforce both negatively affected pay and job satisfaction. In addition, in terms of the relationship between job mismatch, pay, job satisfaction, and job performance, the mediating effect of pay and job satisfaction was confirmed. The implication of the research is that it is crucial to approach the accomplishment of an outstanding workforce based on the concept of job mismatch so that excellent and highly educated human resources can be placed in the right place to maximize their individual qualities and academic knowledge. Considering that job mismatch eventually has a negative impact on research performance through the mediation of pay and job satisfaction, it is necessary to promote strategies to utilize advanced talent, which includes job mismatch, economic incentives, such as salaries, and psychological compensation, such as job satisfaction.

This study integrates characteristics of e-voting technologies, political contexts, and behaviors with the technology acceptance model (TAM) to empirically examine how security principles, election types, and political ideology influence overall user intention to use an e-voting system. Structural equation analysis and Ordinary Least Squares (OLS) regression used on estimates of 228 surveys reveal that perceived usefulness, perceived ease of use, accuracy, and confidentiality have direct and indirect impacts on intention to use e-voting. While usefulness has statistically positive effects on voters' intention to use e-voting in different effects of political election types, political ideology does not drive user's adoption of the e-voting system.