본 View Point에서는 COVID-19으로 초래된 사회 경제적 새로운 질서(New Normal)에서 데이터 산업의 성장 가능성을 조망하고 데이터 비즈니스가 산업생태계에서 생존하는 데 필요한 요소와 전략을 살펴본다. 비대면 사회로의 전환은 데이터의 양적 팽창과 함께 집중화 현상 촉진으로 이어지고 있다. 국가적으로 데이터 산업생태계의 발전 전략을 수립하고 자본의 흐름이 뒤따르고 있는 지금은 데이터 비즈니스에 기회의 시기라고 할 수 있다. 특정 데이터 비즈니스가 산업 생태계에서 생존하고 성장하기 위해서는 안정적인 데이터 품질을 기반으로 경쟁사 대비 비교우위에 있는 품질 속성을 파악해야 하고 특히 어떤 비즈니스 세분화 영역에 해당하는지를 판단할 수 있어야 불필요한 자원투입의 낭비를 막고 효율적인 투자를 할 수 있다.

This study aims at investigating the effects of internal control effectiveness on business survival of food businesses in Thailand through the mediators of productivity improvement and value creation. In this study, 155 food businesses in Thailand are the samples of the study. The results show that internal control effectiveness has a significant influence on productivity improvement and business survival. Productivity improvement critically affects value creation and business survival while value creation is an important determinant of business survival. However, internal control effectiveness has no relationship with value creation. Also, productivity improvement explicitly mediates the internal control effectiveness-business survival relationships. In summary, internal control effectiveness can enhance firms’ sustainable competitive advantage, superior performance and long-term survival. Firms need to focus on internal control effectiveness through investing their assets and resources and utilizing their abilities, competencies and capabilities in order to continuously develop and improve their appropriate concepts and characteristics in an organization. Better internal control effectiveness definitely leads to more long-term survival. To generalize the research results, future research needs to collect data from other businesses and industries. Increased response rate of the study is important for future research to verify and confirm the research results.

Stability of labor market in rural areas was analyzed in this paper with categories of industrial group, employment scale, surviving period, and founder group. The stability of each classified labor market was compared with each other to figure out the stable business class and the unstable class in rural areas. The results of rural areas were compared with those of urban areas. The stability was analyzed with average and coefficient of variation (C.V.) of annual total employees’ change rates. It was revealed that labor market of ‘primary industry’, including agriculture, is unstable. Especially, labor market of ‘mid-size’ and ‘primary industry’ businesses founded as ‘incorporated company’ in rural areas is vulnerable. While labor market of ‘large-size’ is proved to be unstable, it is confirmed that ‘small-size’ or ‘mid-size’, and ‘over-ten-year survived’ businesses have positive contribution to the stable labor market in rural and urban areas. The results show that the stability of labor market is different in each category of business and in each region of rural or urban area. It is expected that the results can be utilized for the regional development policies, of labor and industry part.