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STS500 Neo S.K. et al.
             Figure 2: Distribution of enterprises with websites by the internet categories




















            5.  Discussion and Conclusion
                This pilot project demonstrated the possibility of profiling and measuring
            the internet economy of Singapore. By using data collected from various web
            sources, useful insights could be derived from the internet economy.
                Looking forward, available survey and administrative data could also be
            merged  to  the  target  population  to  gain  a  deeper  understanding  of  the
            internet economy. It would also be interesting to study enterprises which do
            not have corporate websites but promote theirs services on social media or
            sell their goods/services through online marketplaces. (e.g. e-bay, Qoo10).

            References
            1.  Rajan Anandan, Rohit Sipahimalani, Alap Bharadwaj, Jaideep Jhangiani,
                Danny Kim and Soumi Ramesh. (2016) “e-conomy SEA: Unlocking the
                $200B Digital Opportunity”. https://www.thinkwithgoogle.com/intl/en-
                apac/trends-and-insights/e-conomy-sea-unlocking-200b-digital-
                opportunity/
            2.  Infocomm Media Development Authority (2017). “Infocomm Usage-
                Business”. https://www.imda.gov.sg/industry-development/facts-and-
                figures/infocomm-usage-business
            3.  Oostrom L., Walker A., Staats B., Slootbek-Van Laar M., Ortega Azurduy S.
                and Rooijakkers B. (2016). “Measuring the internet economy in The
                Netherlands: a Big Data analysis”. Statistics Netherlands.
                https://www.cbs.nl/-/media/ pdf/2016/40/measuring-the-internet-
                economy.pdf
            4.  Bianchi G., Consalvi M., Gentili B., Pancella F., Scalfati, Summa D. (2018).
                “New sources for the SBR: first evaluations on the feasibility of using big
                data in the SBR production process”. Italian National Institute of
                Statistics. http://www.wiesbaden2018.bfs.admin.ch/wp-
                content/uploads/2018/08/Paper Bianchi.pdf

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