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This paper aims to examine how technological media accelerates sustainable development. Further, the mediating role of good governance and society empowerment would be investigated.

A questionnaire survey was conducted among 450 students at the level of higher education using stratified sampling plan. Following a two-step approach, a measurement model was estimated and then a structural model was analyzed to evaluate five proposed hypotheses.

The research results indicate that technological media has a direct and positive effect on good governance, empowerment and sustainable development; technological media has an indirect and positive influence on sustainable development via good governance and empowerment as mediating variables; good governance and empowerment are significant antecedents of sustainable development.

The research examines the relationship among technological media, good governance, empowerment and sustainable development, thus contributing to sustainable development literature theoretically. In addition, relevant implications are provided for policymakers as to how to accelerate development sustainably across their countries.

Industrial tourists can contribute to the local sites income. Apart from large and well-known industrial units, small industrial units can also introduce their products to the market by organizing tourism tours. This study aims to analyze an industrial tourism business network established in Isfahan, a large, industrial and historic city in central of Iran, as a case study.

Participants were managers and experts of organizations operated in the Industrial Tourism Network in Isfahan city. A sample of 30 participates was selected through purposive and snowball sampling approaches. Data was analyzed by qualitative content analysis and social network analysis using UCINET software.

Twenty-eight organizations participated in the Industrial Tourism Business Network of Isfahan. Macro indices of the network revealed that: density is relatively low; most of the relationships among network member organizations are reciprocal; transitivity is relatively weak indicating low network stability against environmental player; clustering is low, indicating a relatively low tendency of members to form different clusters. Micro indices indicated that in-degree and out-degree centralizations are low; overall centralization is poor. In addition, six actors were in the center and 22 actors were in the peripheral. Finally, the number of interactions of central organizations was triple than the peripheral organizations.

Limitations of this study include: The data obtained in this study only reflected the relationships among the actors studied during a specific period of time; this paper only focused on actors engaged in an industrial tourism network. Therefore, the sample might involve some bias. The results of the study contribute to our understanding of the role of networking in tourism destinations, particularly industrial sites.

According to the results, the authors may be able to advise firms operating in the tourism industry, particularly actors operate in industrial tourism, regarding how to increase their collaboration with both internal and external environment to achieve better performance.

To the best of the authors’ knowledge, this is the first paper that has addressed an industrial tourism business network.