VIJ Digital library
Articles

Implementation Of Marketing Mix Strategies In Laundry Businesses During Social Distancing Policies; Case Study At Sangun Laundry, Serpong, South Tangerang, Indonesia

Abdul Haris
Student, Ibn Khaldun University, Bogor, Indonesia,
Juhaeri
Vice Dean, Department of Economic, Pamulang University, Indonesia
Sela Novitasari
Lecturer, Departement of Economic, Pamulang University, Indonesia

Published 2023-12-28

Keywords

  • Effectiveness, Differentiation Strategy, Crisis Anticipation

Abstract

This research aims to find out and analyze how to correct weaknesses and utilize the strengths of the laundry business during the current Covid 19 pandemic, in addition to knowing and analyzing the best marketing strategies through the analysis of the most appropriate marketing mix strategy in the current COVID-19 pandemic.  The method used in this study uses a qualitative approach based on a case study.  In this study, it was found that the implementation of an effective marketing mix strategy during the COVID-19 pandemic was to focus on a combination of strength and opportunity strategies or SO, including determining the differentiation of marketing strategies. The strategies applied are product innovation strategies, dynamic pricing strategies, network expansion strategies, promotion expansion strategies, human resource effectiveness strategies, excellent service strategies, and premium packaging strategies.

References

  1. Abbas, M. S. A., & Toha, M. (2022). Proposed Business Strategy for Sangun Laundry. International Journal of Management, Entreprenurship, Social Sciende and Humanities 5(1), 96–115. https://journals.researchsynergypress.com/index.php/ijmesh/article/download/913/439
  2. Agus Trihatmoko, R., & Purnamasari, D. I. (2019). New product pricing strategy and product performance assessment in fast moving consumer goods. International Journal of Economics and Business Administration, 7(4), 417–423. https://doi.org/10.35808/ijeba/354
  3. Al-Fadly, A. (2020). Price element of marketing mix: Its effect on customer experience in construction industries. Management Science Letters, 10(15), 3643–3654. https://doi.org/10.5267/j.msl.2020.6.029
  4. Amador, J., Melo Gouveia, C., & Pimenta, A. C. (2023). COVID-19, lockdowns and international trade: evidence from firm-level data. Empirical Economics, 65(5), 2427–2466. https://doi.org/10.1007/s00181-023-02421-x
  5. Analysis, S., Enterprises, C., Ricard, P., & Ice, L. (2017). SWOT Analysis SWOT ANALYSIS. i(January 2015), 5–9. https://doi.org/10.1002/9781118785317.weom120103
  6. Awaworyi Churchill, S., Inekwe, J., & Ivanovski, K. (2023). Has the COVID-19 pandemic converged across countries? Empirical Economics, 64(5), 2027–2052. https://doi.org/10.1007/s00181-022-02319-0
  7. Chiang, T. C. (2022). Evidence of Economic Policy Uncertainty and COVID-19 Pandemic on Global Stock Returns. Journal of Risk and Financial Management, 15(1). https://doi.org/10.3390/jrfm15010028
  8. de Kare-Silver, M. (1997). What is Strategy? Strategy in Crisis, december, 17–19. https://doi.org/10.1057/9780230378117_2
  9. Drake, B. F., Rancilio, D. M., & Stafford, J. D. (2017). Research methods. In Public Health Research Methods for Partnerships and Practice. https://doi.org/10.1201/9781315155722-9
  10. Firoj, M., Khanom, S., Rashid, M. M., Sultana, A., Kallol, H., Islam, M. N., & Sultana, N. (2021). Covid-19 Impact on the Workers of the Informal Sector: a Longitudinal Study of Bangladesh. Asian Development Policy Review, 9(4), 194–208. https://doi.org/10.18488/journal.107.2021.94.194.208
  11. Gholipour, H. F., Tajaddini, R., & Farzanegan, M. R. (2023). Governments’ economic support for households during the COVID-19 pandemic and consumer confidence. Empirical Economics, 65(3), 1253–1272. https://doi.org/10.1007/s00181-023-02367-0
  12. Guedhami, O., Knill, A., Megginson, W., & Senbet, L. W. (2023). Economic impact of COVID-19 across national boundaries: The role of government responses. Journal of International Business Studies, 54(7), 1278–1297. https://doi.org/10.1057/s41267-023-00612-3
  13. Hasanah, S. N., Herdiyeni, Y., & Hardhienata, M. K. D. (2023). The Impact of Socioeconomic and Demographic Factors on COVID-19 Forecasting Model. Journal of Information Systems Engineering and Business Intelligence, 9(1), 70–83. https://doi.org/10.20473/jisebi.9.1.70-83
  14. Helms, M. M., & Nixon, J. (2010). Exploring SWOT analysis – where are we now?: A review of academic research from the last decade. In Journal of Strategy and Management (Vol. 3, Issue 3). https://doi.org/10.1108/17554251011064837
  15. Hitka, M., Štarchoň, P., Caha, Z., Lorincová, S., & Sedliačiková, M. (2022). The global health pandemic and its impact on the motivation of employees in micro and small enterprises: a case study in the Slovak Republic. Economic Research-Ekonomska Istrazivanja , 35(1), 458–479. https://doi.org/10.1080/1331677X.2021.1902365
  16. Honoré, B. E., & Hu, L. (2023). The COVID-19 pandemic and Asian American employment. Empirical Economics, 64(5), 2053–2083. https://doi.org/10.1007/s00181-022-02306-5
  17. Jasin, M., & Firmansyah, A. (2023). The role of service quality and marketing mix on customer satisfaction and repurchase intention of SMEs products. Uncertain Supply Chain Management, 11(1), 383–390. https://doi.org/10.5267/j.uscm.2022.9.004
  18. Kaplinsky, R., & Morris, M. (2000). A Handbook For Value Chain An Important Health Warning or A Guide for Using this Handbook. Institute for Development Studies: Brighton, UK, September, 4–7.
  19. Keyser, J. C. (2006). Background paper for the Competitive Commercial Agriculture in Sub – Saharan Africa ( CCAA ) Study Description Of Methodology And Presentation Of Templates For Value Chain Analysis Part 1 : Narrative Text Consultant July 2006. Policy Analysis.
  20. Leigh, D. (2010). SWOT Analysis. Handbook of Improving Performance in the Workplace, 2, 115–140. https://doi.org/10.1002/9780470592663.ch24
  21. Lyons, M. S. (2023). The economic impact of COVID-19 on the creative industries: a sub-regional input–output approach. Letters in Spatial and Resource Sciences, 16(1), 1–12. https://doi.org/10.1007/s12076-023-00329-9
  22. Mansour, H. (2022). How successful countries are in promoting digital transactions during COVID-19. Journal of Economic Studies, 49(3), 435–452. https://doi.org/10.1108/JES-10-2020-0489
  23. Melo-Vega-Angeles, O., & Chuquillanqui-Lichardo, B. (2023). The Impact of COVID-19 on the Volatility of Copper Futures. Economies, 11(7). https://doi.org/10.3390/economies11070200
  24. Namugenyi, C., Nimmagadda, S. L., & Reiners, T. (2019). Design of a SWOT analysis model and its evaluation in diverse digital business ecosystem contexts. Procedia Computer Science, 159, 1145–1154. https://doi.org/10.1016/j.procs.2019.09.283
  25. Oladiran, O., Hallam, P., & Elliott, L. (2023). the Covid-19 Pandemic and Office Space Demand Dynamics. International Journal of Strategic Property Management, 27(1), 35–49. https://doi.org/10.3846/ijspm.2023.18003
  26. Pitoyo, A. J., Aditya, B., Amri, I., & Rokhim, A. A. (2021). Impacts and Strategies Behind COVID-19-Induced Economic Crisis: Evidence from Informal Economy. Indian Journal of Labour Economics, 64(3), 641–661. https://doi.org/10.1007/s41027-021-00333-x
  27. Porter, M. . (1985). Competitive Advatage. In Creating and Sustaining Competitive Advantage (pp. 1–30).
  28. Rahman, M., Islam, M., Shimanto, M. H., Ferdous, J., Rahman, A. A. N. S., Sagor, P. S., & Chowdhury, T. (2021). A global analysis on the effect of temperature, socio-economic and environmental factors on the spread and mortality rate of the COVID-19 pandemic. Environment, Development and Sustainability, 23(6), 9352–9366. https://doi.org/10.1007/s10668-020-01028-x
  29. Rajagopal. (2022). Agile Marketing Strategies. Agile Marketing Strategies. https://doi.org/10.1007/978-3-031-04212-6
  30. Rambe, R. A., Purmini, P., Armelly, A., Alfansi, L., & Febriani, R. E. (2022). Efficiency Comparison of Pro-Growth Poverty Reduction Spending before and during the COVID-19 Pandemic: A Study of Regional Governments in Indonesia. Economies, 10(6). https://doi.org/10.3390/economies10060150
  31. Roukanas, A. S., & Vitzileos, V. (2023). The Response of International Financial Institutions to the COVID-19 Crisis. Studies in Business and Economics, 18(2), 257–269. https://doi.org/10.2478/sbe-2023-0036
  32. Saad, N. A., Mlaker, K. S., & Elgazzar, S. (2023). Assessing the Situation of Micro, Small, and Medium-Sized Enterprises in the Emerging Markets of Egypt Under COVID-19 Implications. Studies in Business and Economics, 18(2), 270–289. https://doi.org/10.2478/sbe-2023-0037
  33. Sarker, M. R., Rahman, S. M. A., Islam, A. K. M. H., Bhuyan, M. F. F., Supra, S. E., Ali, K., & Noor, K. M. A. (2022). Impact of COVID-19 on Small- and Medium-sized Enterprises. Global Business Review, 44–50. https://doi.org/10.1177/09721509221093489
  34. Shah, S. S. H., Gherghina, Ștefan C., Dantas, R. M., Rafaqat, S., Correia, A. B., & Mata, M. N. (2023). The Impact of COVID-19 Pandemic on Islamic and Conventional Banks’ Profitability. Economies, 11(4), 1–17. https://doi.org/10.3390/economies11040104
  35. Shahini, L., & Grabova, P. (2023). Economic Role of Government Budget Revision in the Presence of COVID-19. Economies, 11(4), 1–14. https://doi.org/10.3390/economies11040118
  36. Shantanu Kumar Dubey, Rajeev Singh, Swatantra P Singh, & Abhishek Mishra. (2020). A BRIEF STUDY OF VALUE CHAIN AND SUPPLY CHAIN Abhishek Mishra. September. https://www.researchgate.net/publication/344374264
  37. Siedhoff, S. (2019). Design science research. 29–43. https://doi.org/10.1007/978-3-658-26336-2_3
  38. Sozinova, A. A., & Popkova, E. G. (2023). Dataset Analysis of Pandemic Risks and Risk Management Prospects Based on Management and Marketing in Conditions of COVID-19 Recession. Risks, 11(2). https://doi.org/10.3390/risks11020037
  39. Supekova, S. C., Krchova, H., & Fabo, L. (2023). Modelling the CSR concept of an enterprise under the influence of marketing strategies and strategic competitiveness Soňa Chovanová Supeková – Hana Krchová – Ladislav Fabo. April.
  40. Zamfir, I. C., & Iordache, A. M. M. (2022). The influences of covid-19 pandemic on macroeconomic indexes for European countries. Applied Economics, 54(39), 4519–4531. https://doi.org/10.1080/00036846.2022.2031858