EXPLORING THE MARKETING ANALYTICS PRACTICES IN CEMENT INDUSTRY A CASE STUDY APPROACH FOR A CEMENT COMPANY ASSOCIATED WITH INDIGENOUS CONGLOMERATE

http://dx.doi.org/10.31703/gmsr.2020(V-IV).02      10.31703/gmsr.2020(V-IV).02      Published : Dec 4
Authored by : ImranBashirDar , Abdul ZahidKhan , SadafKashif

02 Pages : 10-22

References

  • Bazeley, P., & Jackson, K. (Eds, .). (2013). Qualitative data analysis with NVivo.
  • Bean, R. A. N. D. Y., & Kiron, D. (2013). Organizational alignment is key to big data success. MIT Sloan Management Review, 54(3), 1-6.
  • Bhattacharya, S., & Saha, J. (2015, April). High-level automation to achieve improved productivity, energy efficiency and consistent cement quality. In 2015 IEEE-IAS/PCA Cement Industry Conference (IAS/PCA CIC) (pp. 1-7). IEEE
  • Bizer, C., Boncz, P., Brodie, M. L., & Erling, O. (2012). The meaningful use of big data: four perspectives--four challenges. ACM Sigmod Record, 40(4), 56-60.
  • Chandra, B., & Goswami, S. (2014). Investigating end-user's perception for ERP-a select case of Indian cement industry. Abhigyan, 31(1), 54-68.
  • Davenport, T. H. (2006). Competing on analytics. Harvard business review, 84(1), 98.
  • Dawson, L., & Van Belle, J. P. (2013). Critical success factors for business intelligence in the South African financial services sector. South African Journal of Information Management, 15(1), 1-12.
  • Dutta, D., & Bose, I. (2015). Managing a big data project: the case of ramco cements limited. International Journal of Production Economics, 165, 293-306.
  • Ebner, G., & Bechtold, J. (2012). Are manufacturing companies ready to go digital. Capgemini Consulting Group, 1-15.
  • Eryadi, R. A., & Hidayanto, A. N. (2020). Critical Success Factors for Business Intelligence Implementation in an Enterprise Resource Planning System Environment Using DEMATEL: A Case Study at a Cement Manufacture Company in Indonesia. Journal of Information Technology Management, 12(1), 67-85.
  • Jakobsen, J., Roussanaly, S., & Anantharaman, R. (2017). A techno-economic case study of CO2 capture, transport and storage chain from a cement plant in Norway. Journal of cleaner production, 144, 523-539.
  • Kiron, D., & Shockley, R. (2011). Creating business value with analytics. MIT Sloan Management Review, 53(1), 57.
  • Kiron, D., Ferguson, R. B., & Prentice, P. K. (2013). From value to vision: Reimagining the possible with data analytics. MIT Sloan Management Review, 54(3), 1.
  • Kiron, D., Prentice, P. K., & Ferguson, R. B. (2012). Innovating with analytics. MIT Sloan Management Review, 54(1), 47.
  • Kumar, P. (2015). Technological development and change in cement industry in India. International Journal of Recent Scientific Research, 6(4), 3575-3583.
  • LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT sloan management review, 52(2), 21-32.
  • Lee, J., Lapira, E., Bagheri, B., & Kao, H. A. (2013). Recent advances and trends in predictive manufacturing systems in big data environment. Manufacturing letters, 1(1), 38-41.
  • Marchand, D. A., & Peppard, J. (2013). Why IT fumbles analytics. Harvard Business Review, 91(1), 104-112.
  • Mazreati, H., & Radfar, R. (2017). Determining the factors affecting the evaluation of Business Intelligence systems with an emphasis on the integrity of Organizational resources. Journal of Industrial Strategic Management, 2(3), 64-82.
  • Nguyen, Q., Meredith, R., & Burstein, F. (2018). A Comparative Study of Critical Success Factors for General and Healthcare Business Intelligence Systems.
  • Olszak, C. M., & Ziemba, E. (2012). Critical success factors for implementing business intelligence systems in small and medium enterprises on the example of upper Silesia, Poland. Interdisciplinary Journal of Information, Knowledge, and Management, 7(2), 129- 150.
  • Onwuegbuzie, A. J., & Leech, N. L. (2007). A call for qualitative power analyses: Considerations in qualitative research. Quality & Quantity: International Journal of Methodology, 41(1), 105- 121.
  • Pham, Q. T., Mai, T. K., Misra, S., Crawford, B., & Soto, R. (2016, July). Critical success factors for implementing business intelligence system: empirical study in Vietnam. In International Conference on Computational Science and Its Applications (pp. 567-584). Springer, Cham.
  • Records, R. L., & Fisher, Q. K. (2014). Manufacturers connect the dots with Big Data and analytics. Computer Science Corporation, 1-6.
  • Shrestha, A., Ghimire, A., Singh, A., Koirala, D., Khanal, K., & Maskey, R. K. (2016). Energy Use in Nepalese Cement Industries: Case of Udayapur Cement Industries Limited.
  • Sianipar, K. C., Wicaksana, S., Parikenan, B., & Hidayanto, A. N. (2019, April). Business intelligence critical success factors evaluation using analytical hierarchy process. In 2019 5th International Conference on Computing Engineering and Design (ICCED) (pp. 1-6). IEEE.
  • Trinoverly, Y., Handayani, P. W., & Azzahro, F. (2018, September). Analyzing the benefit of ERP implementation in developing country: a state-owned company case study. In 2018 International Conference on Information Management and Technology (ICIMTech) (pp. 75- 80). IEEE.
  • Viaene, S., & Van den Bunder, A. (2011). The secrets to managing business analytics projects. MIT Sloan Management Review, 53(1), 65
  • Waller, M. A., & Fawcett, S. E. (2013). Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management. Journal of Business Logistics, 34(2), 77-84.
  • Yeoh, W., & Popovič, A. (2016). Extending the understanding of critical success factors for implementing business intelligence systems. Journal of the Association for Information Science and Technology, 67(1), 134-147.
  • Yin, R. K. (1981). The Case study Crisis: Some Answers, Administrative Science Quarterly, 26 (1), 58-65.
  • Yin, R. K. (2003). Case Study Research - Design and Methods, 3rd ed., Sage Publications, London.
  • Zeb, K., Ali, Y., & Khan, M. W. (2019). Factors influencing environment and human health by cement industry. Management of Environmental Quality: An International Journal.

References

  • Bazeley, P., & Jackson, K. (Eds, .). (2013). Qualitative data analysis with NVivo.
  • Bean, R. A. N. D. Y., & Kiron, D. (2013). Organizational alignment is key to big data success. MIT Sloan Management Review, 54(3), 1-6.
  • Bhattacharya, S., & Saha, J. (2015, April). High-level automation to achieve improved productivity, energy efficiency and consistent cement quality. In 2015 IEEE-IAS/PCA Cement Industry Conference (IAS/PCA CIC) (pp. 1-7). IEEE
  • Bizer, C., Boncz, P., Brodie, M. L., & Erling, O. (2012). The meaningful use of big data: four perspectives--four challenges. ACM Sigmod Record, 40(4), 56-60.
  • Chandra, B., & Goswami, S. (2014). Investigating end-user's perception for ERP-a select case of Indian cement industry. Abhigyan, 31(1), 54-68.
  • Davenport, T. H. (2006). Competing on analytics. Harvard business review, 84(1), 98.
  • Dawson, L., & Van Belle, J. P. (2013). Critical success factors for business intelligence in the South African financial services sector. South African Journal of Information Management, 15(1), 1-12.
  • Dutta, D., & Bose, I. (2015). Managing a big data project: the case of ramco cements limited. International Journal of Production Economics, 165, 293-306.
  • Ebner, G., & Bechtold, J. (2012). Are manufacturing companies ready to go digital. Capgemini Consulting Group, 1-15.
  • Eryadi, R. A., & Hidayanto, A. N. (2020). Critical Success Factors for Business Intelligence Implementation in an Enterprise Resource Planning System Environment Using DEMATEL: A Case Study at a Cement Manufacture Company in Indonesia. Journal of Information Technology Management, 12(1), 67-85.
  • Jakobsen, J., Roussanaly, S., & Anantharaman, R. (2017). A techno-economic case study of CO2 capture, transport and storage chain from a cement plant in Norway. Journal of cleaner production, 144, 523-539.
  • Kiron, D., & Shockley, R. (2011). Creating business value with analytics. MIT Sloan Management Review, 53(1), 57.
  • Kiron, D., Ferguson, R. B., & Prentice, P. K. (2013). From value to vision: Reimagining the possible with data analytics. MIT Sloan Management Review, 54(3), 1.
  • Kiron, D., Prentice, P. K., & Ferguson, R. B. (2012). Innovating with analytics. MIT Sloan Management Review, 54(1), 47.
  • Kumar, P. (2015). Technological development and change in cement industry in India. International Journal of Recent Scientific Research, 6(4), 3575-3583.
  • LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT sloan management review, 52(2), 21-32.
  • Lee, J., Lapira, E., Bagheri, B., & Kao, H. A. (2013). Recent advances and trends in predictive manufacturing systems in big data environment. Manufacturing letters, 1(1), 38-41.
  • Marchand, D. A., & Peppard, J. (2013). Why IT fumbles analytics. Harvard Business Review, 91(1), 104-112.
  • Mazreati, H., & Radfar, R. (2017). Determining the factors affecting the evaluation of Business Intelligence systems with an emphasis on the integrity of Organizational resources. Journal of Industrial Strategic Management, 2(3), 64-82.
  • Nguyen, Q., Meredith, R., & Burstein, F. (2018). A Comparative Study of Critical Success Factors for General and Healthcare Business Intelligence Systems.
  • Olszak, C. M., & Ziemba, E. (2012). Critical success factors for implementing business intelligence systems in small and medium enterprises on the example of upper Silesia, Poland. Interdisciplinary Journal of Information, Knowledge, and Management, 7(2), 129- 150.
  • Onwuegbuzie, A. J., & Leech, N. L. (2007). A call for qualitative power analyses: Considerations in qualitative research. Quality & Quantity: International Journal of Methodology, 41(1), 105- 121.
  • Pham, Q. T., Mai, T. K., Misra, S., Crawford, B., & Soto, R. (2016, July). Critical success factors for implementing business intelligence system: empirical study in Vietnam. In International Conference on Computational Science and Its Applications (pp. 567-584). Springer, Cham.
  • Records, R. L., & Fisher, Q. K. (2014). Manufacturers connect the dots with Big Data and analytics. Computer Science Corporation, 1-6.
  • Shrestha, A., Ghimire, A., Singh, A., Koirala, D., Khanal, K., & Maskey, R. K. (2016). Energy Use in Nepalese Cement Industries: Case of Udayapur Cement Industries Limited.
  • Sianipar, K. C., Wicaksana, S., Parikenan, B., & Hidayanto, A. N. (2019, April). Business intelligence critical success factors evaluation using analytical hierarchy process. In 2019 5th International Conference on Computing Engineering and Design (ICCED) (pp. 1-6). IEEE.
  • Trinoverly, Y., Handayani, P. W., & Azzahro, F. (2018, September). Analyzing the benefit of ERP implementation in developing country: a state-owned company case study. In 2018 International Conference on Information Management and Technology (ICIMTech) (pp. 75- 80). IEEE.
  • Viaene, S., & Van den Bunder, A. (2011). The secrets to managing business analytics projects. MIT Sloan Management Review, 53(1), 65
  • Waller, M. A., & Fawcett, S. E. (2013). Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management. Journal of Business Logistics, 34(2), 77-84.
  • Yeoh, W., & Popovič, A. (2016). Extending the understanding of critical success factors for implementing business intelligence systems. Journal of the Association for Information Science and Technology, 67(1), 134-147.
  • Yin, R. K. (1981). The Case study Crisis: Some Answers, Administrative Science Quarterly, 26 (1), 58-65.
  • Yin, R. K. (2003). Case Study Research - Design and Methods, 3rd ed., Sage Publications, London.
  • Zeb, K., Ali, Y., & Khan, M. W. (2019). Factors influencing environment and human health by cement industry. Management of Environmental Quality: An International Journal.

Cite this article

APA

    APA : Dar, I. B., Khan, A. Z., & Kashif, S. (2020). Exploring the Marketing Analytics Practices in Cement Industry: A Case Study Approach for a Cement Company Associated with Indigenous Conglomerate. Global Management Sciences Review, V(IV), 10-22. https://doi.org/10.31703/gmsr.2020(V-IV).02

CHICAGO

    CHICAGO : Dar, Imran Bashir, Abdul Zahid Khan, and Sadaf Kashif. 2020. "Exploring the Marketing Analytics Practices in Cement Industry: A Case Study Approach for a Cement Company Associated with Indigenous Conglomerate." Global Management Sciences Review, V (IV): 10-22 doi: 10.31703/gmsr.2020(V-IV).02

HARVARD

    HARVARD : DAR, I. B., KHAN, A. Z. & KASHIF, S. 2020. Exploring the Marketing Analytics Practices in Cement Industry: A Case Study Approach for a Cement Company Associated with Indigenous Conglomerate. Global Management Sciences Review, V, 10-22.

MHRA

    MHRA : Dar, Imran Bashir, Abdul Zahid Khan, and Sadaf Kashif. 2020. "Exploring the Marketing Analytics Practices in Cement Industry: A Case Study Approach for a Cement Company Associated with Indigenous Conglomerate." Global Management Sciences Review, V: 10-22

MLA

    MLA : Dar, Imran Bashir, Abdul Zahid Khan, and Sadaf Kashif. "Exploring the Marketing Analytics Practices in Cement Industry: A Case Study Approach for a Cement Company Associated with Indigenous Conglomerate." Global Management Sciences Review, V.IV (2020): 10-22 Print.

OXFORD

    OXFORD : Dar, Imran Bashir, Khan, Abdul Zahid, and Kashif, Sadaf (2020), "Exploring the Marketing Analytics Practices in Cement Industry: A Case Study Approach for a Cement Company Associated with Indigenous Conglomerate", Global Management Sciences Review, V (IV), 10-22

TURABIAN

    TURABIAN : Dar, Imran Bashir, Abdul Zahid Khan, and Sadaf Kashif. "Exploring the Marketing Analytics Practices in Cement Industry: A Case Study Approach for a Cement Company Associated with Indigenous Conglomerate." Global Management Sciences Review V, no. IV (2020): 10-22. https://doi.org/10.31703/gmsr.2020(V-IV).02