Small and medium sized enterprises (SMEs) cover a high percentage of total operating enterprise number and play an important role in economic development and job creation. They have very limited resources. Knowledge is the only resource that they can exploit to create competitive advantage and organizational performance. The managerial system of SMEs is established and controlled by the owner manager reflexing their cognitition and values. Hence, knowledge management in SMEs is also dependent upon their cognition and values created from their demographic variables such as age, education, profession, managerial experience as well as personality characteristics; namely, need for achievement, locus of control, flexibility to name a few. These owner manager’s characteristics exert influence on the knowledge management and organizational performance. In this study, a model is introduced to explain the relationship between owner manager’s characteristics, knowledge management and organizational performance with market orientation as a mediator for the relationship between knowledge management orientation and organizational performance.

Information technology (IT) is a fast-growing field, particularly, in Ho Chi Minh City. The City Authorities have made much effort to improve IT infrastructure and to make a master plan for IT human resource development. The development of IT human resource depends on the demand of IT market and on the supply of IT human resource. In order to have a highly reliable plan for IT human resource development, a forecasting model involving factors of IT human resource demand and supply is in big need. This research aims to establish an IT human resource forecasting model and to apply this model to the forecasting of IT human resource in Ho Chi Minh City from 2011 to 2020.

SMEs are established and managed by owner managers. Their personality traits, demographics impact the enterprise’s managerial system and performance. This study aims at clustering the SMEs to find out the clustering structure via these stated above factors, then, defining a set of criteria to recognize the owner managers’ typology and predicting the enterprise performance. Clustering method has been applied to analyze 240 enterprises into 3 clusters differentiating with each other basing on the personality traits, particularly, innovation, demographics, strategic management and organizational functional structure. These factors are encapsulated into a set of criteria for owner manager’ typology definition and prediction of the enterprise performance. Relations among these factors in each cluster were also recognized.

Studies in entrepreneurial opportunity identification have been focused and performed in statistical methods in developed economies, achieving some good results. However, the studies provides just outside view of this phenomenon while opportunity identification is a thinking process happening inside the entrepreneur. This study aims at identification of factors impacting opportunity identification of entrepreneurs in developing economy of Vietnam with the use of interpretative phenomena analysis. The study has identified some specific factors affecting this identification and some managerial implications are proposed.

Innovation is the foundation that drives and decides the success of the enterprise. However, while many of Vietnamese firms are highly aware of the important role of innovation, less of them have achieved innovation performance. Research on innovation performance has been done in many developed economies, but it is very few in developing economies such as Vietnam. In order to help Vietnamese enterprises better understand the factors that affect the level of innovation performance, this research verifies the relationship between the search, exploration activity and innovation performance of enterprises in HCMC, based on research model of Aloini and Martini (2013) - The search is reflected by 4 factors: Learning about market, managing idea generation, network management system, openness to external sources; Exploration activity is reflected by 2 factors: Exploratory innovation, competence exploration. These are the factors that influence innovation performance strongly. The analysis of data collected from 252 Vietnamese enterprises in HCMC reveals that high level of search leads to high level of exploration activities and high level of exploration activities leads to high level of innovation performance. Management implications have been proposed to improve innovation performance.