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The purpose of this paper is to examine the antecedents of entrepreneurial opportunity recognition.

Questionnaire data were collected from 220 senior tourism business members in Iran.

The results show that an individual’s self-efficacy, prior knowledge and social networks, all had positive effects on entrepreneurial alertness. Also, entrepreneurial alertness contributed significantly to entrepreneurial opportunity recognition.

The findings show that social network was the most important predictor among all other of the antecedents of entrepreneurial opportunity recognition. Because the data were limited to tourism industry, future studies need to validate these findings in other industries.

Findings of this study suggest that to increase entrepreneurial opportunity recognition ability, it is critical for tourism businesses to invest in developing and enhancing individual ability.

The value of this paper lies in its contribution to understanding better the predictors to become entrepreneurs in tourism. Particularly, the paper adds to the existing literature by showing that the key success factors for entrepreneurial alertness are individual abilities, especially individual social contacts. People who want to work in the tourism industry should promote own communication network with other businesses and people to find new entrepreneurial opportunities. It is better they work in areas that have enough prior knowledge and experiences.

Technological entrepreneurship has been a very significant topic in recent decades. It has a crucial role in economic modernization and growth. The need for technological entrepreneurship is because technology-based industries are expanding rapidly and are replacing traditional industries. Therefore, this study aimed at identifying the factors affecting the success of technological entrepreneurship in Iranian nanotechnology businesses.

The research was conducted through mixed method. The participants in the qualitative section included 17 university experts and executive managers in the field of nanotechnology in Iran, and 75 nanotechnology business managers participated in the quantitative section. The interview and questionnaire were used to collect information. In order to measure and fit the models, the confirmatory factor analysis method and PLS3 software were used.

The results indicated that the key factors affecting the success of the technological entrepreneurship process in nanotechnology were classified into five general categories: organizational, environmental, institutional, individual and technology factors. Moreover, it was shown that all these dimensions had a positive and significant effect on technological entrepreneurship. In addition, the organizational dimension has an essential role.

Companies' ability to engage technological entrepreneurship is a vital factor in human resource management and strategic management. However, technological entrepreneurship in Iranian nanotechnology businesses has not been involved integrally in the context of companies.

The purpose of this paper is, at first, to reveal the present concourse about barriers to coordination in government web then collect the dominant concourse about barriers to alignment along the web of governmental machinery from the perspective of Iranian practitioners and scholars. Strengthening the coordination of government machinery is one of the purposes of the Iranian Government, but one of the important influences on coordination in government is the attitudes and perceptions of governing elites.

This study combines the strengths of both the qualitative and quantitative research traditions. It entails a set of sequential steps which involve the generation of ideas about the research topics; a sample of statements representative of different views (dominant concourse) was selected from the 107 statements (present concourse) mentioned above based on a two-round Delphi technique.

The statements of this concourse are organized in two main categories: policy and administrative barriers. Researchers utilized the Delphi technique to identify the 73 most important statements concerning the diversity of opinion within the present concourse.

Generalization of findings is not a major concern of this study, and selection of the sample in this study is not based on random sampling.

The paper includes implications for improving coordination in the Iranian Government. The results of this study have implications for policymakers to reform the government machinery and design mechanism for better performance.

This paper fulfills an identified need to study solutions for removing barriers to coordination in government. It proposed e-government as one mechanism for removing these barriers and strengthening consensus in Iranian Government machinery.