REDTONE INTERNATIONAL BERHAD: A THEORETICAL STUDY

Authors

  • Johar Management and Science University Author
  • MGM Management and Science University Author
  • Mohd Shukri Ab Yajid Management and Science University Author
  • Ali Khatibi Management and Science University Author

DOI:

https://doi.org/10.61841/9gx1dq48

Keywords:

tier-2 telcos, Porter’s model, SPACE matrix, regulatory requirements

Abstract

The objective of this case study is to examine and understand the Malaysian tier-2 telco industry with special focus on Redtone International Berhad and its position in the market place. The case analysis includes application of models such as External / Internal Evaluation Matrix, Porter’s Model, SPACE Matrix and Ansoff’s Matrix. The methodology adopted for this case study is by industry observation through mass media, reference to company annual reports, collection of industry analysis, articles and information in the internet and referring to the company personne (Abdullah, Abdullah, & Salleh, 2017).

 

Downloads

Download data is not yet available.

References

[1] Abdullah, D. B., Abdullah, M. Y., & Salleh, M. A. M. (2017). A review on the concept of Fourth Industrial Revolution and the government’s initiatives to promote it among youths in Malaysia. e-Bangi, 14(7).

[2] Abubakar, A. J. a., Hashim, M., & Pour, A. B. (2019). Identification of hydrothermal alteration minerals associated with geothermal system using ASTER and Hyperion satellite data: a case study from Yankari Park, NE Nigeria. Geocarto International, 34(6), 597-625.

[3] Adiri, Z., El Harti, A., Jellouli, A., Lhissou, R., Maacha, L., Azmi, M., . . . Bachaoui, E. M. (2017). Comparison of Landsat-8, ASTER and Sentinel 1 satellite remote sensing data in automatic lineaments extraction: A case study of Sidi Flah-Bouskour inlier, Moroccan Anti Atlas. Advances in Space Research, 60(11), 2355-2367.

[4] Ali, A. S., & Pour, A. B. (2014). Lithological mapping and hydrothermal alteration using Landsat 8 data: a case study in ariab mining district, red sea hills, Sudan. International Journal of Basic

[5] Applied Sciences, 3(3), 199.

[6] Ali, N. M., Karis, M. S., Abidin, A. F. Z., Bakri, B., & Razif, N. A. (2015). Traffic sign detection and recognition: Review and analysis. Jurnal Teknologi, 77(20), 107-113.

[7] binti Zaidi, N. I., binti Lokman, N. A. A., bin Daud, M. R., Achmad, H., & Chia, K. A. (2015). Fire recognition using RGB and YCbCr color space. ARPN Journal of Engineering

[8] Applied Sciences, 10(21), 9786-9790.

[9] Hughes, A. C., Satasook, C., Bates, P. J., Bumrungsri, S., & Jones, G. (2011). Explaining the causes of the zoogeographic transition around the Isthmus of Kra: using bats as a case study. Journal of Biogeography, 38(12), 2362-2372.

[10] Koedsin, W., & Huete, A. (2015). Mapping rubber tree stand age using Pléiades Satellite Imagery: A case study in Talang district, Phuket, Thailand. Engineering Journal, 19(4), 45-56.

[11] Phua, M.-H., Tsuyuki, S., Furuya, N., & Lee, J. S. (2008). Detecting deforestation with a spectral change detection approach using multitemporal Landsat data: A case study of Kinabalu Park, Sabah, Malaysia. Journal of Environmental Management, 88(4), 784-795.

[12] Pour, A. B., & Hashim, M. (2015). Integrating PALSAR and ASTER data for mineral deposits exploration in tropical environments: a case study from Central Belt, Peninsular Malaysia. %nternational Journal of Image

[13] Data Fusion, 6(2), 170-188.

[14] Pour, A. B., Hashim, M., & Marghany, M. (2014). Exploration of gold mineralization in a tropical region using Earth Observing-1 (EO1) and JERS-1 SAR data: a case study from Bau gold field, Sarawak, Malaysia. Arabian Journal of Geosciences, 7(6), 2393-2406.

[15] Pour, A. B., Hashim, M., & Sciences, S. I. (2015). Geolgical structure mapping of the bentong-raub suture zone, peninsular Malaysia using palsar remote sensing data. ISPRS Annals of the Photogrammetry, Remote Sensing, 2(2), 89.

[16] Pradhan, B., & Buchroithner, M. F. (2010). Comparison and validation of landslide susceptibility maps using an artificial neural network model for three test areas in Malaysia. Environmental

[17] Engineering Geoscience, 16(2), 107-126.

[18] Reza, A. W., Eswaran, C., & Hati, S. (2008). Diabetic retinopathy: A quadtree based blood vessel detection algorithm using RGB components in fundus images. Journal of medical systems, 32(2), 147-155.

[19] Suman, S., Hussin, F. A., Malik, A. S., Ho, S. H., Hilmi, I., Leow, A. H.-R., & Goh, K.-L. J. A. S. (2017). Feature selection and classification of ulcerated lesions using statistical analysis for WCE images. Applied Sciences, 7(10), 1097.

[20] Tiwari, N., & Shandilya, M. (2010). Secure RGB image steganography from pixel indicator to triple algorithm-an incremental growth. International Journal of Security

[21] Its Applications, 4(4), 53-62.

[22] Zaki, H. F., Shafait, F., & Mian, A. (2017). Learning a deeply supervised multi-modal RGB-D embedding for semantic scene and object category recognition. Robotics

[23] Autonomous Systems, 92, 41-52.

[24] Zoheir, B., & Emam, A. (2014). Field and ASTER imagery data for the setting of gold mineralization in Western Allaqi–Heiani belt, Egypt: A case study from the Haimur deposit. Journal of African Earth Sciences, 99, 150-164.

Downloads

Published

30.09.2020

How to Cite

Johar, MGM, Yajid, M. S. A., & Khatibi, A. (2020). REDTONE INTERNATIONAL BERHAD: A THEORETICAL STUDY. International Journal of Psychosocial Rehabilitation, 24(7), 4780-4800. https://doi.org/10.61841/9gx1dq48