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All issues Volume 136 (2019) E3S Web Conf., 136 (2019) 01039 References
Open Access
Issue
E3S Web Conf.
Volume 136, 2019
2019 International Conference on Building Energy Conservation, Thermal Safety and Environmental Pollution Control (ICBTE 2019)
Article Number 01039
Number of page(s) 9
Section Ultra-Low Energy Consumption Building Technology
DOI https://doi.org/10.1051/e3sconf/201913601039
Published online 10 December 2019
  1. Faber, N., De Koster, M. B. M., & Smidts, A. (2013). Organizing warehouse management. International Journal of Operations & Production Management, 33(9), 1230-1256. [CrossRef] [Google Scholar]
  2. Goksoy, A., Vayvay, O., & Ergeneli, N. (2013). Gaining competitive advantage through innovation strategies: an application in warehouse management processes. American Journal of Business and Management, 2(4), 304-321. [Google Scholar]
  3. Laursen, G. H., & Thorlund, J. (2016). Business analytics for managers: Taking business intelligence beyond reporting. John Wiley & Sons. [CrossRef] [Google Scholar]
  4. Jabbar, S., Khan, M., Silva, B. N., & Han, K. (2018). A REST-based industrial web of things’ framework for smart warehousing. The Journal of Supercomputing, 74(9), 4419-4433. [CrossRef] [Google Scholar]
  5. Dadzie, K. Q., Johnston, W. J., & Sadchev, H. (2015). Organizational Characteristics and the Adoption of Innovative Warehouse Automation Technologies. In Proceedings of the 1993 Academy of Marketing Science (AMS) Annual Conference (pp. 581-583). Springer, Cham. [CrossRef] [Google Scholar]
  6. Schwarz, M., Milan, A., Lenz, C., Munoz, A., Periyasamy, A. S., Schreiber, M., ... & Behnke, S. (2017, May). NimbRo Picking: Versatile part handling for warehouse automation. In 2017 IEEE International Conference on Robotics and Automation (ICRA) (pp. 3032-3039). IEEE. [CrossRef] [Google Scholar]
  7. Marr, B. (2016). Why everyone must get ready for the 4th industrial revolution. Forbes Tech, 5. [Google Scholar]
  8. Porter, M. E., & Heppelmann, J. E. (2015). How smart, connected products are transforming companies. Harvard Business Review, 93(10), 96-114. [Google Scholar]
  9. Tachizawa, E. M., Alvarez-Gil, M. J., & Montes-Sancho, M. J. (2015). How “smart cities” will change supply chain management. Supply Chain Management: An International Journal, 20(3), 237-248. [CrossRef] [Google Scholar]
  10. Dotoli, M., Epicoco, N., Falagario, M., Costantino, N., & Turchiano, B. (2015). An integrated approach for warehouse analysis and optimization: A case study. Computers in Industry, 70, 56-69. [CrossRef] [Google Scholar]
  11. Mascia, M. B., & Mills, M. (2018). When conservation goes viral: The diffusion of innovative biodiversity conservation policies and practices. Conservation Letters, 11(3), e12442. [CrossRef] [Google Scholar]
  12. Ngah, A. H., Zainuddin, Y., & Thurasamy, R. (2017). Applying the TOE framework in the Halal warehouse adoption study. Journal of Islamic Accounting and Business Research, 8(2), 161-181. [CrossRef] [Google Scholar]
  13. Lai, P. C. (2017). The literature review of technology adoption models and theories for the novelty technology. JISTEM-Journal of Information Systems and Technology Management, 14(1), 21-38. [Google Scholar]
  14. Sham, R., Wahab, S.N., & Hussin, A.A.A. (2018). Smart Trolley Apps: A Solution to Reduce Picking Error. International Journal of Supply Chain Management, 7(5),294-302. [Google Scholar]
  15. Wong, C. H., Tan, G. W. H., Tan, B. I., & Ooi, K. B. (2015). Mobile advertising: the changing landscape of the advertising industry. Telematics and Informatics, 32(4), 720-734. [CrossRef] [Google Scholar]
  16. Ling E.K. & Wahab, S.N. (2018). Integrity of Food Supply Chain: Going beyond Food Safety and Food Quality. International Journal of Productivity and Quality Management, DOI: 10.1504/IJPQM.2019.10019297. [Google Scholar]
  17. Baker, J. (2012). The technology–organization–environment framework. In Information systems theory (pp. 231-245). Springer, New York, NY. [CrossRef] [Google Scholar]
  18. Mohamed, Z., Kadir, Z. A., & Raof, N. A. A. (2018). Malaysia Industrial Master Plans (IMPs) and the Focus on the Nation Technology and Innovation Development. Journal of Science, Technology and Innovation Policy, 4(2), 9. [Google Scholar]
  19. Karim, N. H., Rahman, N. S. F. A., & Shah, S. F. S. S. J. (2018). Empirical evidence on failure factors of warehouse productivity in Malaysian logistic service sector. The Asian Journal of Shipping and Logistics, 34(2), 151-160. [CrossRef] [Google Scholar]
  20. Tjahjono, B., Esplugues, C., Ares, E., & Pelaez, G. (2017). What does industry 4.0 mean to supply chain?. Procedia Manufacturing, 13, 1175-1182. [CrossRef] [Google Scholar]
  21. Wahab, S.N., Sayuti, N.M. & Talib, M.S.A. (2018). Antecedents of Green Warehousing: A Theoretical Framework and Future Direction. International Journal of Supply Chain Management, 7(6),382-388 [Google Scholar]
  22. Bahrin, M. A. K., Othman, M. F., Azli, N. H. N., & Talib, M. F. (2016). Industry 4.0: A review on industrial automation and robotic. Jurnal Teknologi, 78(6-13). [Google Scholar]
  23. Luff, P. (2017). The 4th Industrial Revolution and SMEs in Malaysia and Japan: Some Economic, Social and Ethical Considerations. Reitaku International Journal of Economic Studies, 25, 25-48. [Google Scholar]
  24. Qushem, U. B., Zeki, A. M., & Abubakar, A. (2017, August). Successful Business Intelligence System for SME: An Analytical Study in Malaysia. In IOP Conference Series: Materials Science and Engineering (Vol. 226, No. 1, p. 012090). IOP Publishing. [CrossRef] [Google Scholar]
  25. Aziz, T. N. A. T., Jaafar, H. S., & Tajuddin, R. M. (2016). Green supply chain: Awareness of logistics industry in Malaysia. Procedia-Social and Behavioral Sciences, 219, 121-125. [CrossRef] [Google Scholar]
  26. Patton, M. Q. (2002). Qualitative research and evaluation methods. 3rd Sage Publications; Thousand Oaks, CA. [Google Scholar]
  27. Teo, A. C., Tan, G. W. H., Ooi, K. B., Hew, T. S., & Yew, K. T. (2015). The effects of convenience and speed in m-payment. Industrial Management & Data Systems, 115(2), 311-331. [Google Scholar]

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