Online Store Management System Case Study King Power
Pongtanawat Noundee, Pathanasuk Singsai, Thipakorn Srichaidamrong, Chaiyaporn Thakolkietthawat, Karnkamol Naksrisuk · International Journal of Management Studies and Social Science Research · 2023
At present, online media has become an important factor in the lives of the new generation.Therefore, it cannot be denied that Online media has a great influence on us.From waking up in the morning to going to bed in addition, the speed and convenience of online media have also been used to benefit people in all walks of life.Especially doing an online business that is seen today.Therefore, online marketing (Online Marketing) is considered to be very popular nowadays.Therefore, the researcher is interested in the online store management system, a case study of King Power that makes brands and products known.In making the business successful the research results obtained from this study can be used as a guideline for other types of online store business operators and used in planning or developing marketing strategies.to be able to communicate directly with the target consumer group.Including as a way to add value to brands and products to build credibility.And able to step up to be the number one in the minds of the target group.This will be an important foundation that helps businesses grow sustainably.by collecting information from consumers who buy goods and services online A random sampling of 500 people in Bangkok.and use the questionnaire as a tool Statistics used in data analysis were percentage (percentage) for measuring personal characteristics of respondents, mean (mean), and standard deviation (SD.).In descriptive statistics, statistics used to test the hypothesis were: Multiple Regression Analysis.The results showed that Testing the relationship between online store management systems In planning or developing 4 important marketing strategies (Y1) of King Power target consumers and understanding brands and products to set a clear standpoint (x1) with a P-value equal to 0.001 less than 0.05 (0.000 < 0.05 ) and access to all channels where consumers are both offline and online (X4) has a P-value equal to 0.001, less than 0.05 (0.000 < 0.05), which can be written as a regression analysis equation as follows: Y=181.516+ 1.344 (X1) + 2.312 (X4)