Production Management and Engineering Sciences 2015
DOI: 10.1201/b19259-9
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Mineral resource extraction and its political risks

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Cited by 13 publications
(14 citation statements)
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“…A similar point of view presented by Cehlar et al (2015), Cismas et al (2017), Lekkas et al (1997), Brueckner (2011), Paparrizos et al (2016, Lekkas et al (2017), Schuck (2014), Lamprou and Vagionas (2017), Stiglitz (1989), Konisky and Teodoro (2016), Welch (2015), Straka et al (2014), Garcia (2011), Johannsen and Fill (2017), Sánchez-González et al (2017), Lohrmann and Reichert (2016), Rahmat (2019), Rofiq and Pramono (2019), Rutkowska and Rembielak-Vitchev (2008), and Damme et al (2017).…”
Section: Methodology Versus Realization Of Local Developmentsupporting
confidence: 62%
“…A similar point of view presented by Cehlar et al (2015), Cismas et al (2017), Lekkas et al (1997), Brueckner (2011), Paparrizos et al (2016, Lekkas et al (2017), Schuck (2014), Lamprou and Vagionas (2017), Stiglitz (1989), Konisky and Teodoro (2016), Welch (2015), Straka et al (2014), Garcia (2011), Johannsen and Fill (2017), Sánchez-González et al (2017), Lohrmann and Reichert (2016), Rahmat (2019), Rofiq and Pramono (2019), Rutkowska and Rembielak-Vitchev (2008), and Damme et al (2017).…”
Section: Methodology Versus Realization Of Local Developmentsupporting
confidence: 62%
“…As we can see, for the success of websites such as tripadvisor.com and zagat.com, it is just ratings and reviews of customers and tourists, which often form the basis for future buyer´s decisions on buying or not buying. Research of this type of social media and networks point to a high degree of impact and evaluation reviews the tourists can decide about [8][9][10].…”
Section: Use Of Data Mining In Tourism -Social Networkmentioning
confidence: 99%
“…This provides that the underlying characteristics of the data sets can be compared. This means that, for example, when looking at Google Trends data for two different locations, interest" (proportion of searches) rather than volume" is being compared [8,16].…”
Section: Use Of Data Mining In Tourism -Google Trendsmentioning
confidence: 99%
“…But they are also a negative form of human perception, because mining is often associated with negative phenomena in the country. Not ignoring the political risk, associated not only with legislative parameters, but also with the dissatisfaction of citizens who are active participants in politics through elections [1]. This is the reason why should raw material (RM) policy also take their needs into account as well as sustainable economic growth, which is conditioned by providing of reliable RM supply and proper protection of living environment [34].…”
Section: Introductionmentioning
confidence: 99%