• Journal of Technology Innovation
• /
• v.27 no.3
• /
• pp.27-52
• /
• 2019

This research studied the determinants of private R&D investment by examining the innovation strategies of 481 small and medium enterprises (SMEs, their employee size is 5 or more and less than 300) in Busan, South Korea. The data is derived from the Technology Survey of Small and Medium Enterprises in 2001 and 2003. Three explanatory variables for the innovation strategies are the R&D portfolio, the organization (personnel) for R&D, and the strategic role of CEO for innovation. The technological levels of industries are controlled in the linear regression model. The dependent variable is the total private R&D investment of a firm in the given fiscal year. The empirical results indicate that the private R&D investment positively correlates with the complexity of the R&D portfolio, the formal organization for R&D team, and the increase of R&D personnel. The formal organization for R&D team and the number of R&D personnel are correlated with the increase of private R&D investment across the four groups in the manufacturing sector but not in the service sector. These findings suggest that the innovation policy needs to target firms who have complex R&D portfolios, the formal organization of R&D teams, and sufficient R&D personnel in order to increase the private R&D investment of SMEs in regions, with consideration of industrial characteristics.

• Asian Journal of Innovation and Policy
• /
• v.9 no.3
• /
• pp.308-338
• /
• 2020

The entrepreneurial journey is not short of challenges, and about 90% + tech start-ups experience failure (Startup Genome, 2019). The magnitude of the challenges varies across the tech start-up lifecycle stages, namely emergence, stability, and growth. This opens the research question, do the profiles of a start-up and its co-founder impact start-up success or failure across its lifecycle stages? This study aims to understand and identify the profiles of tech start-ups and their co-founders. We gathered primary data from 151 start-ups (Status: 101 failed and 50 successful ones), and they are across different lifecycle stages and represent six major start-up hubs in India. The chi-square test on status and start-up's lifecycle stage indicates a noticeable correlation, and they are not independent. The Kruskal Wallis test was used to distinguish statistically significant profile attributes. The parameters distinguishing success and failure are identified, and the need to deliver customer experience is emphasized by the start-up profile attributes: Product/service, high-tech nature of a start-up, investor fund availed, co-founder experience, and employee count. The importance of entrepreneurial experience is ascertained with entrepreneur profile attributes: Entrepreneurial expertise, the number of prior and current start-ups, their willingness to start again in the event of failure, and age of co-founder, which is a proxy to learning and experience. This study has implications for entrepreneurs, investors, and policymakers.

• International Journal of Computer Science & Network Security
• /
• v.21 no.3
• /
• pp.120-126
• /
• 2021

The article analyzes the possibility of using information and innovation experience in training public administration specialists, and also explores the system of training public administration and management specialists abroad. It was determined that in the European Union, Japan and other developed countries, three concepts of qualified personnel training will be developed: the concept of specialized training is focused on the present or near future and is relevant for the respective workplace; the concept of multidisciplinary training is effective from an economic point of view, as it increases intra-production and non-production mobility of an employee; the concept of learner-centered learning with the aim of developing human qualities.

• The Journal of Asian Finance, Economics and Business
• /
• v.10 no.1
• /
• pp.91-100
• /
• 2023

MSMEs encountered several issues during the COVID-19 pandemic, including decreased sales and capital, difficulties in distribution, trouble obtaining raw materials, decreased production, and employee layoffs. These issues posed a threat to the national economy. The final effect was the company's bankruptcy as a result of its failure to survive a pandemic, which led to the company's downfall. This research aims to find out and analyze MSMEs' business strategy and innovation to maintain their business during the COVID-19 pandemic in Indonesia. This research is qualitative. Researchers got data using interviews, observation, and documentation. The analysis of this research is descriptive. To draw customers during the COVID-19 pandemic, MSMEs use social media or digital marketing, followed by the delivery of orders, promotions, or discounts and the creation of freebies. MSMEs develop new products as part of their ongoing efforts to expand their businesses while upholding standards for quality, value, and customer service. They also adapt to changing consumer tastes and popular food trends while showcasing some of their most intriguing products.

• Journal of Service Research and Studies
• /
• v.13 no.4
• /
• pp.206-223
• /
• 2023

The introduction of Smart technologies such as Artificial Intelligence(AI) systems are have a powerful impact in a variety of industry fields. Some experts predict that smart technology will completely change people's daily life and work styles, causing technological innovation, productivity improvement, and discovery and emergence of new fields. On the one hand, this vision cannot ignore negative views and concerns. Despite many social debates about employment, such as job loss and rising unemployment, there have not been many studies based on employee experience that provide a fundamental solution to the conflict between AI and employment. Therefore, this study finds out the effects and related factors of AI concierge robots for hotel employees, focusing on the hotel industry, and how employees' perceptions of AI concierge robots affect user resistance and turnover intention. This study, conducted a questionnaire survey of 322 hotel employees who had experience working with AI concierge robots in China, and used SPSS and SmartPLS statistical analysis programs to draw conclusions. We found that hotel employees' perceptions of AI concierge robots were significantly related to user resistance and turnover intention, and this association was related to employee self-efficacy, perceived organizational support, quality of AI services and new tasks. In addition, it was found that the quality of AI concierge robots directly or indirectly had the greatest influence on user resistance and turnover intention. The findings of this study provide theoretical implications for academia and practical implications for industry practitioners.

• Journal of Technology Innovation
• /
• v.17 no.1
• /
• pp.179-204
• /
• 2009

This paper aims to analyze the relationship between R&D outsourcing ratio (external R&D expenditures out of total R&D expenditures) and firm characteristics. Four hypotheses are tested using firm-level data with Tobit regression method. The major findings of this paper are as follows. First, firms with high technological capabilities, which are measured by R&D expenditures per sale and the number of patents per employee, rely more on R&D outsourcing. Nonetheless, firms that own R&D centers tend to rely less on external outsourcing of R&D. Second, firms with high managerial innovation capabilities, which is measured by the introduction of IT solutions, show higher R&D outsourcing ratio. Third, bigger firms are likely to spend more in external R&D than in internal R&D. This paper also discusses implications on R&D policy of Korea.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.9 no.7
• /
• pp.891-900
• /
• 2019

In this paper, we investigate the relationship between IPR creation and export activity. And we try to examine the effects of IPR use as innovation on export performance. The dataset used in the empirical analysis are the annual "Survey of Business Activity(2006~2014)" panel data which include total of 6,144 samples of firms. Data set includes the sample characteristic such as employee, industry, export performance, possession/use/development of IPR. According to analysis results, this paper confirms that R&D and export activities of firms make positive effects on IPR creation. In addition, this paper finds that IPR use of firms make positive effects on firm's export performance. Exporting firms achieve higher export performance by developing new products and processes to enter and compete in overseas markets. In addition, exporting firms can achieve higher performance by using intellectual property rights to appropriate innovation outcomes in foreign markets and to exclude the possibility of patent disputes in advance.

• Asia pacific journal of information systems
• /
• v.30 no.2
• /
• pp.397-419
• /
• 2020

Business analytics is a management tool for achieving significant business performance improvements. Many organizations fail to or only partially achieve their business objectives and goals from business analytics. Business analytics adoption is a multi-stage complex activity consisting of evaluation, adoption, and assimilation stages. Several research papers have been published in the field of business analytics, but the research on multi-stage BA adoption is fewer in number. This study contributes to the scant literature on the multi-stage adoption model by identifying the critical themes for evaluation, adoption, and assimilation stages of business analytics. This study uses the thematic content analysis of peer-reviewed published academic papers as a research technique to explore the key themes of business analytics adoption. This study links the critical themes with the popular theoretical foundations: Resource-Based View (RBV), Dynamic Capabilities, Diffusion of Innovations, and Technology-Organizational-Environmental (TOE) framework. The study identifies twelve major factors categorized into three key themes: organizational characteristics, innovation characteristics, and environmental characteristics. The main organizational factors are top management support, organization data environment, centralized analytics structure, perceived cost, employee skills, and data-based decision making culture. The major innovation characteristics are perceived benefits, complexity, and compatibility, and information technology assets. The environmental factors influencing BA adoption stages are competition and industry pressure. A conceptual framework for the multi-stage BA adoption model is proposed in this study. The findings of this study can assist the practicing managers in developing a stage-wise operational strategy for business analytics adoption. Future research can also attempt to validate the conceptual model proposed in this study.

• Journal of Korea Society of Industrial Information Systems
• /
• v.29 no.2
• /
• pp.169-190
• /
• 2024

The purpose of this study is to design an effective innovation model for communication-centered public services, based on the case of Korea Midland Power Co., Ltd (KOMIPO). This study analyzed customer and employee participation activities at KOMIPO, focusing on communication activities to derive the best practices. The study comprised of the following stages: (1) Preparation stage to assess the current situation and promote change management; (2) Problem-solving stage for improving public services; (3) Problem-solving stage for improving work processes; (4) Problem-solving stage for strengthening collaboration, and (5) Design stage for an innovation model. Based on the results of this study, an innovation model was developed for public services by applying the double-diamond design process. The proposed model presents a process structure, which is derived through an iterative process of primary divergence (discovery) and convergence (definition), and secondary divergence (development) and convergence (delivery). This study also proposed the possibility of applying the Idea-Power-Plant activities of KOMIPO's best practices to the proposed model. While this study proposed an innovation model for communication-centered public services through the analysis of a specific public company, the results of the study provide broad insights for effective operations management through efficient communication based on the participation of customers and employees in public institutions.

• Journal of Venture Innovation
• /
• v.6 no.2
• /
• pp.41-65
• /
• 2023

This study was conducted to empirically analyse the factors that influence SMEs' intention to adopt ESG. For this purpose, we first derived the variables of usefulness of ESG and ease of adoption. In addition, we adopted CEO's will because of the importance of CEO's role in decision-making in SMEs. In addition, we added customer's request, government support, and credit evaluation reflection as institutional factors for ESG management. To examine the mediating role of attitudes and employees' innovation resistance in these relationships and how they affect ESG adoption, we set up a research model. These factors were used in the empirical analysis with 368 valid responses from the survey. Hierarchical regression analysis method using SPSS 24.0 was used for statistical analysis, and Process Macro 4.0 based on SPSS 24 was used for mediation and moderation effects. The results of the empirical analysis of this study showed that the usefulness of ESG adoption, ease of adoption, CEO's will, customer's request, government support, and credit evaluation reflection all had a positive and significant effect on the intention to adopt ESG management. In particular, among the variables affecting ESG adoption, CEO's will was found to be the most influential. Attitudes were also found to play a mediating role between the influencing factors and intention to adopt ESG management, as well as the mediating effect of employee' innovation resistance. The academic implications of this study include the identification and empirical testing of each of the influencing variables of ESG management adoption in the scarce literature on ESG in SMEs, and the prioritisation of the influence of these factors on adoption intention, which can be used to promote the adoption of ESG management. In terms of practical implications, it is important for SMEs to have a win-win relationship with large corporations, an ecosystem such as government support, in order to improve CEO awareness and motivate the CEO's will, and for smooth introduction of ESG management, it is necessary to find ways to reduce resistance through sufficient communication with organizational members to make them aware of the need.