The Strategy Mapping Development for Improving Smart Organization Using TOWS
DOI:
https://doi.org/10.31150/ajebm.v3i5.276Keywords:
Smart Organization, Strategy Mapping, TOWS AnalysisAbstract
This study aims to obtain a strategy mapping in developing Smart Organization to improve excellent human resources. The method applied in this research is to use a qualitative descriptive analysis approach to the real strategy implemented by considering internal factors and external factors in the SWOT Analysis. The underlying thing is because the globalization process gave birth to an era known as the Industrial Revolution 4.0, which was marked by the existence of Information Communication Technology (ICT) such as artificial intelligence, advance robotic, autonomous vehicles, virtual reality, and cyber physical systems. ICT raises a major and fundamental change in human life where there has been a shift in activities that were originally carried out in the real world now carried out in cyberspace. All digital and all activities carried out through online or internet media. The results obtained are the Smart Organization Development Strategy implemented with e-Office, e-Research, and Operational Information Systems systems that are integrated and systemic. The strategy of developing Smart Organization programs can improve human resources to be superior and advanced. These human resources include professional lecturer resources, smart personnels, stakeholder partners and operational employees. The conclusions and contributions obtained are Information Communication Technology development strategies based on Smart Organization (e-Office, e-Research and integrated Operational Information System) have a high role to improve professionalism in organizing advanced and quality higher operation so that they are able produce excellent human resources.
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Allan Wigfield, Susan L. Klauda, and Jenna Cambria, 2017. Influences on the Development of Operational Self-Regulatory Processes, Department of Human Development, Organization of Maryland.
Ahmadi, & Herdiawan, D., 2019. The application of CBA and SUG model for improving the quality of Indonesian navy human resources. International Journal of Recent Technology and Engineering, Vol 8 Issue 3, 393–399.
Bandono A., Suharyo, O. S., & Riono., 2019. Applied Fuzzy and Nasa TLX method to measure of the mental workload. Journal of Theoretical and Applied Information Technology, Vol 97 Issue 2, 476–489.
Bastari, A., Marjono, Moeljadi, & Fanani, Z., 2019. The relationship model of maritime culture and state policy towards national resilience. International Journal of Recent Technology and Engineering, Vol 8 Issue 2, 5168–5174.
Dessler, Gary, 2015. Human Resource Management, Fourteenth Edition, Essex, England: Pearson.
Herdiawan, D., & Ahmadi, 2019. Development strategy of national food sovereignty to encounter radicalism threat. International Journal of Innovative Technology and Exploring Engineering, Vol 8 Issue 11, 544–553.
Nugroho, S. H., Madhakomala, R., & Gunawan, K., 2019. The system dynamic model for policy evaluation of navy personnel on state-duty aspect. International Journal of Scientific and Technology Research, Vol 8 Issue 12, 228–236.
Nugroho, S. H., Madhakomala, R., & Gunawan, K., 2019. Analysis and scenario of navy performance allowance policy using system dynamic model. International Journal of Scientific and Technology Research, Vol 8 Issue 12, 1140–1147.
Raymond A. Noe, 2017. Employee Operation and Development Seventh Edition, New York: McGraw-Hill.
Robert L Mathis, John H.Jackson, 2011. Human Resource Management Thirteenth Edition, Ohio: South-Western Cengage Learning.
Suharjo, B., 2019. Using System Dynamics to Analyze the Leadership Style on Motivation and Soldier’s Performance. In E3S Web of Conferences (Vol. 125). EDP Sciences.
Suharjo, B., Suharyo, O. S., & Bandono, A., 2019. Failure mode effect and criticality analysis (FMECA) for determination time interval replacement of critical components in warships radar. Journal of Theoretical and Applied Information Technology, Vol 97 Issue 10, 2861–2870.
Suharjo B, Suharyo O.S., 2019. The Naval Harbours Priority Development Using Zero-One Matrix Decision Variable (ZOMDV) And Fuzzy Mcdm Methods; A Case Study, International Journal of Civil Engineering and Technology (IJCIET) Volume 10, Issue 02, February, pp.623-634.
Suharyo O.S., Djauhar Manfaat, Haryo D Armono, 2017. Establishing the Location of Naval Base Using Fuzzy MCDM and Covering Technique Methods: A Case Study, International Journal of Operations and Quantitative Management, IJOQM, Vol. 23, Issue 1, pp 61-87.
Sumantri, S. H., Bastari, A., & Suharyo, O.S., 2019. The assessment of naval base sustainability using a dynamic system thinking approach. International Journal of Scientific and Technology Research, Vol 8 Issue 11, 388–394.
Susilo, A. K., Putra, I. N., Ahmadi, & Suharyo, O. S., 2020. Analysis of national maritime security strategy as an effect of regional development using SWOT, fuzzy multi-criteria decision making (FMCDM) and borda. International Journal of Operations and Quantitative Management, Vol 25 Issue 3, 153–174.
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Copyright (c) 2020 Adi Bandono, Avando Bastari, Okol Sri Suharyo
This work is licensed under a Creative Commons Attribution 4.0 International License.
