Business Intelligence in Facility Management: Determinants and Benchmarking Scenarios for Improving Energy Efficiency

References

• Affeldt, F. S., & Junior, S. (2013). Information architecture analysis using business intelligence tools based on the information needs of executives. Journal of Information Systems and Technology Management, 10(2), 251–270. doi:10.4301/S1807-17752013000200004
   Google Scholar
• Andoh-Baidoo, F. K., Villa, A., Aguirre, Y., & Kasper, G. M. (2014, August). Business intelligence & analytics education: An exploratory study of business & non-business school IS program offerings. In Twentieth Americas Conference on Information Systems, (pp. 1–9). Savannah, GA: Association for Information Systems.
   Google Scholar
• Aruldoss, M., Lakshmi, T. M., & Venkatesan, V. P. (2014). A survey on recent research in business intelligence. Journal of Enterprise Information Management, 27(6), 831–866. doi:10.1108/JEIM-06-2013-0029
   Google Scholar
• Azma, F., & Mostafapour, M. A. (2012). Business intelligence as a key strategy for development organizations. Procedia Technology, 1, 102–106. doi:10.1016/j.protcy.2012.02.020
   Google Scholar
• Bahrami, M., Arabzad, S. M., & Ghorbani, M. (2012). Innovation in market management by utilizing business intelligence: Introducing proposed framework. Procedia – Social and Behavioral Sciences, 41, 160–167. doi:10.1016/j.sbspro.2012.04.020
   Google Scholar
• Bonino, D., & De Russis, L. (2015). Design recommendations for smart energy monitoring: A case study in Italy. Energy and Buildings, 91, 1–9. doi:10.1016/j.enbuild.2015.01.031
   Web of Science ®Google Scholar
• Cheung, C. F., & Li, F. L. (2012). A quantitative correlation coefficient mining method for business intelligence in small and medium enterprises of trading business. Expert Systems with Applications, 39(7), 6279–6291. doi:10.1016/j.eswa.2011.10.021
   Web of Science ®Google Scholar
• Da Cunha, P. R., Soja, P., Themistocleous, M., & Da Silva, M. M. (2017). Enterprise system lifecycles in transition and less developed economies within the European union. Information Technology for Development, 1–31. doi:10.1080/02681102.2016.1233857
   Web of Science ®Google Scholar
• Deloitte. (2016). Tech trends 2016 – innovating in the digital era. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/br/Documents/technology/tech-trends-2016.PDF
   Google Scholar
• Gartner (2014). IT Glossary – big data. Retrieved from http://www.gartner.com/it-glossary/big-data
   Google Scholar
• Gawin, B., & Marcinkowski, B. (2016, November). Towards a proficient business intelligence for energy efficiency domain – prerequisites and data sources. In Proceedings of the International Conference on ICT Management for Global Competitiveness and Economic Growth in Emerging Economies ICTM 2016 (pp. 78–83). Wrocław, Poland: University of Wrocław, Polish Chapter of Association for Information Systems (PLAIS), Linköping University, The College of Management “Edukacja”, University of Zielona Góra, Polish Association of Analytical Psychology (PTPA), Hochschule für Technik und Wirtschaft Dresden, AIS Special Interest Group on ICT and Global Development (SIG GlobDev).
   Google Scholar
• Hartmann, P. M., Zaki, M., Feldmann, N., & Neely, A. (2014, March). Big data for big business? A taxonomy of data-driven business models used by start-up firms. Retrieved from http://cambridgeservicealliance.eng.cam.ac.uk/resources/Downloads/Monthly%20Papers/2014_March_DataDrivenBusinessModels.pdf
   Google Scholar
• Hayashi, Y., Hsieh, M. H., & Setiono, R. (2010). Understanding consumer heterogeneity: A business intelligence application of neural networks. Knowledge-Based Systems, 23(8), 856–863. doi:10.1016/j.knosys.2010.05.010
   Web of Science ®Google Scholar
• Hoss, F. (2012). Energy efficiency & demand response: How to tackle big data. Electric Light and Power, 90(5), 40.
   Google Scholar
• Hsieh, K. L. (2011). Employing a recommendation expert system based on mental accounting and artificial neural networks into mining business intelligence for study abroad’s P/S recommendations. Expert Systems with Applications, 38(12), 14376–14381. doi:10.1016/j.eswa.2011.03.078
   Web of Science ®Google Scholar
• IBM (2013, October). Descriptive, predictive, prescriptive: Transforming asset and facilities management with analytics. Choose the right data analytics solutions to boost service quality, reduce operating costs and build ROI. Retrieved from https://static.ibmserviceengage.com/TIW14162USEN.PDF.
   Google Scholar
• International Facility Management Association (2015). Year in review: IFMA FY 2015 annual report. Retrieved from http://cdn.ifma.org/sfcdn/docs/default-source/year-in-review/2014-2015-year-in-review.pdf
   Google Scholar
• Jeston, J., & Nelis, J. (2013). Business process management. Practical guidelines to successful implementations (3rd ed.). London, UK/New York, NY: Routledge.
   Google Scholar
• Jukić, N., Sharma, A., Nestorov, S., & Jukić, B. (2015). Augmenting data warehouses with big data. Information Systems Management, 32(3), 200–209. doi:10.1080/10580530.2015.1044338
   Web of Science ®Google Scholar
• Jylhä, T., & Suvanto, M. E. (2015). Impacts of poor quality of information in the facility management field. Facilities, 33(5/6), 302–319. doi:10.1108/F-07-2013-0057
   Web of Science ®Google Scholar
• Kaleta, M., & Toczyłowski, E. (2009). Rola informatyki w zwiększaniu efektywności rynku energii [The role of information systems for improving efficiency of the electrical energy markets]. Rynek Energii, 1, 66–73.
   Google Scholar
• Keszey, T. (2017). Information systems in transition economies: Does ownership matter? Information Systems Management, 34(1), 65–84. doi:10.1080/10580530.2017.1254456
   Web of Science ®Google Scholar
• Kimball, R., & Ross, M. (2013). The data warehouse toolkit: The definitive guide to dimensional modeling (3rd ed.). Hoboken, NJ: Wiley.
   Google Scholar
• Kleesuwan, S., Mitatha, S., Yupapin, P. P., & Piyatamrong, B. (2010). Business intelligence in Thailand’s higher educational resources management. Procedia – Social and Behavioral Sciences, 2(1), 84–87. doi:10.1016/j.sbspro.2010.01.018
   Google Scholar
• Klonowski, Z. J. (2004). Systemy informatyczne zarządzania przedsiębiorstwem. Modele rozwoju i właściwości funkcjonalne [Information systems for enterprise management. Development models and functional properties]. Wrocław, Poland: Oficyna Wydawnicza Politechniki Wrocławskiej.
   Google Scholar
• Lech, P. (2007). Metodyka ekonomicznej oceny przedsięwzięć informatycznych wspomagających zarządzanie organizacją [A Methodology for Economic Evaluation of IT Projects Supporting Organizational Management]. Gdańsk, Poland: Wydawnictwo Uniwersytetu Gdańskiego.
   Google Scholar
• Marasco, D. E., & Kontokosta, C. E. (2016). Applications of machine learning methods to identifying and predicting building retrofit opportunities. Energy and Buildings, 128, 431–441. doi:10.1016/j.enbuild.2016.06.092
   Web of Science ®Google Scholar
• McKinstry (2010). Business intelligence for enterprise energy management. Retrieved from http://www.mckinstryeem.com/eemsuite/whitepapers/Business%20Intelligence%20for%20EEM.pdf.
   Google Scholar
• Mettler, T., & Raber, D. (2011, June). Developing a collaborative business intelligence system for improving delivery reliability in business networks. In Concurrent Enterprising (ICE), 2011 17th International Conference on (pp. 1–7). Aachen, Germany: IEEE.
   Google Scholar
• Pamuła, A., & Zieliński, J. S. (2007). Wybrane zagadnienia z systemów informatycznych w zakładach energetycznych [Selected issues regarding information systems in power distribution companies]. Prace Naukowe/Akademia Ekonomiczna w Katowicach. 551–559.
   Google Scholar
• Panetta, K. (2016). Gartner’s top 10 strategic technology trends for 2017. Retrieved from http://www.gartner.com/smarterwithgartner/gartners-top-10-technology-trends-2017.
   Google Scholar
• Petrini, M., Pozzebon, M., & Freitas, M. T. (2004, September). Qual é o Papel da Inteligência de Negócios (BI) nos Países em Desenvolvimento? Um Panorama das Empresas Brasileiras [What is the Role of Business Intelligence (BI) in Developing Countries? A Panorama of Brazilian Companies]. In Anais do 28º Encontro da ENANPAD, Curitiba, Brazil: ANPAD.
   Google Scholar
• Professional Retail Store Maintenance Association (2016). PRSM 2017 Trends report. Retrieved from http://www.prsm.com/p/cm/ld/fid=222.
   Google Scholar
• Radziszewski, P. (2016). Business Intelligence. Moda, wybawienie czy problem dla firm? [Business Intelligence. A Fashion, a Salvation, or an Issue for Companies?]. Warszawa, Poland: Wydawnictwo Poltext.
   Google Scholar
• Royal Institute of Chartered Surveyors (2011). Facilities management information and data management. Retrieved from http://www.rics.org/Global/Facilities_management_information_and_data_management_1st_edition_PGguidance_2011.pdf.
   Google Scholar
• Roztocki, N., & Weistroffer, H. R. (2015). Information and communication technology in transition economies: An assessment of research trends. Information Technology for Development, 21(3), 330–364. doi:10.1080/02681102.2014.891498
   Web of Science ®Google Scholar
• Seah, M., Hsieh, M. H., & Weng, P. D. (2010). A case analysis of savecom: The role of indigenous leadership in implementing a business intelligence system. International Journal of Information Management, 30(4), 368–373. doi:10.1016/j.ijinfomgt.2010.04.002
   Web of Science ®Google Scholar
• SkyFoundry (2015, August). Case study. BWI Hilton: using analytics to support a guaranteed energy savings program, case study. Retrieved from https://skyfoundry.com/file/146/Case-Study-Using-Analytics-to-Support-Guaranteed-Savings—Seiberlich-Trane.pdf.
   Google Scholar
• Stanberry, D. (2013, July). Data driven facility management. Retrieved from http://rockymountainifma.com/IFMA.Data_Driven_FM.130710.pdf.
   Google Scholar
• Taurion, C. (1997). Data Warehouse: Estado de Arte e Estado de Prática [Data Warehouse: State of the Art and State of the Practice]. Developers’ Magazine, 1(6), 10–11.
   Google Scholar
• Thomsen, E. (2002). OLAP Solutions: Building multidimensional information systems (2nd ed.). Hoboken, NJ: Wiley.
   Google Scholar
• Wagnon, J. (2016). What is facility management? Retrieved from https://www.ifma.org/about/what-is-facility-management.
   Google Scholar
• Wilson, I. (2012, May). Implementing active energy efficiency to increase the bottom line. Retrieved from http://www.pharmpro.com/article/2012/05/implementing-active-energy-efficiency-increase-bottom-line.
   Google Scholar
• Yin, R. K. (2014). Case study research. Design and methods (5th ed.). London, UK: SAGE Publications Ltd.
   Google Scholar
• ZHAW Institut für Facility Management (2015). Research and Consulting. Retrieved from https://www.zhaw.ch/storage/lsfm/institute-zentren/ifm/ifm-imagebroschure.pdf.
   Google Scholar