Pub Date : 2023-02-19DOI: 10.58857/jmdbe.2023.v01.i01.p04
Hartawati, Jessica Wiraatmaja, Jeffrie, Anny Nurbasari
In early 2020, Indonesia was affected by the COVID-19 Pandemic; this increased the habits of Indonesian people shopping online through marketplaces such as Tokopedia, Shopee, Lazada and so on. Marketplaces are competing to provide attractive offers during the Pandemic. The value of shopping transactions at Shopee is 40%, Tokopedia is 30%, and Lazada is 16%. It is known that Shopee is the most popular marketplace for Indonesians at the peak of Harbolnas 2021 compared to Tokopedia. This study aims to determine the effect of online customer reviews, prices and sales promotions on purchase intention at Tokopedia. The population of this research is Tokopedia users in Indonesia, with a total sample of 174 respondents. The method used is quantitative, and the data is processed using SmartPLS 3.2.9 software. The results of this study indicate that the OCR variable, price and sales promotion have a positive effect on purchase intention. The independent variable that has the most dominant influence on the dependent variable of purchase intention is the online customer review factor.
{"title":"The Influence of Online Customer Reviews, Prices, and Sales Promotions on Buying Interests in the Tokopedia Marketplace","authors":"Hartawati, Jessica Wiraatmaja, Jeffrie, Anny Nurbasari","doi":"10.58857/jmdbe.2023.v01.i01.p04","DOIUrl":"https://doi.org/10.58857/jmdbe.2023.v01.i01.p04","url":null,"abstract":"In early 2020, Indonesia was affected by the COVID-19 Pandemic; this increased the habits of Indonesian people shopping online through marketplaces such as Tokopedia, Shopee, Lazada and so on. Marketplaces are competing to provide attractive offers during the Pandemic. The value of shopping transactions at Shopee is 40%, Tokopedia is 30%, and Lazada is 16%. It is known that Shopee is the most popular marketplace for Indonesians at the peak of Harbolnas 2021 compared to Tokopedia. This study aims to determine the effect of online customer reviews, prices and sales promotions on purchase intention at Tokopedia. The population of this research is Tokopedia users in Indonesia, with a total sample of 174 respondents. The method used is quantitative, and the data is processed using SmartPLS 3.2.9 software. The results of this study indicate that the OCR variable, price and sales promotion have a positive effect on purchase intention. The independent variable that has the most dominant influence on the dependent variable of purchase intention is the online customer review factor.","PeriodicalId":421385,"journal":{"name":"The Journal of Management, Digital Business, and Entrepreneurship","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126772998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-19DOI: 10.58857/jmdbe.2023.v01.i01.p03
Adrizal Iqbal Anhar, M. Darmawan, Raflis Rusdi, Jauhary Arifin, I. Bandung
One indicator of success in tourism development is the importance of considering the technical aspects of planning, namely the existence of a study of tourism potential that will be developed as a tourist area more professionally. This study refers to the GSTC criteria in Bromo Tengger Semeru National Park by analyzing internal and external factors with SWOT analysis, then formulating priorities from alternative strategies through the Analytic Hierarchy Process method. Determining the informants used purposive, snowball, and quota sampling techniques. Data were gathered through observation, interviews, and focus group discussions. Based on the study’s results, implementing sustainable tourism according to the GSTC in Bromo Tengger Semeru National Park has met the criteria but has not been maximized. Based on the study’s results, the implementation of sustainable tourism referring to the GSTC in Bromo Tengger Semeru National Park has met the criteria but has not been maximized because the community does not understand its potential. The SWOT analysis resulted in the weighting of IFAS and EFAS covering S-O (3.81), W-O (3.11), W-T (2.90), and S-T (2.28). S-O obtained the highest weight so that it was continued into the AHP. The order of priority of the alternative S-O strategy based on the AHP method obtained the following results: Developing attractions (33%), strengthening institutions (25%), making event calendars (15%), conservation (11%), infrastructure development (8%), optimizing supporting facilities (5%) and developing agro-tourism (3%)
{"title":"A Study on The Development of Priority Tourism Destinations in The Bromo Tengger, Semeru Area","authors":"Adrizal Iqbal Anhar, M. Darmawan, Raflis Rusdi, Jauhary Arifin, I. Bandung","doi":"10.58857/jmdbe.2023.v01.i01.p03","DOIUrl":"https://doi.org/10.58857/jmdbe.2023.v01.i01.p03","url":null,"abstract":"One indicator of success in tourism development is the importance of considering the technical aspects of planning, namely the existence of a study of tourism potential that will be developed as a tourist area more professionally. This study refers to the GSTC criteria in Bromo Tengger Semeru National Park by analyzing internal and external factors with SWOT analysis, then formulating priorities from alternative strategies through the Analytic Hierarchy Process method. Determining the informants used purposive, snowball, and quota sampling techniques. Data were gathered through observation, interviews, and focus group discussions. Based on the study’s results, implementing sustainable tourism according to the GSTC in Bromo Tengger Semeru National Park has met the criteria but has not been maximized. Based on the study’s results, the implementation of sustainable tourism referring to the GSTC in Bromo Tengger Semeru National Park has met the criteria but has not been maximized because the community does not understand its potential. The SWOT analysis resulted in the weighting of IFAS and EFAS covering S-O (3.81), W-O (3.11), W-T (2.90), and S-T (2.28). S-O obtained the highest weight so that it was continued into the AHP. The order of priority of the alternative S-O strategy based on the AHP method obtained the following results: Developing attractions (33%), strengthening institutions (25%), making event calendars (15%), conservation (11%), infrastructure development (8%), optimizing supporting facilities (5%) and developing agro-tourism (3%)","PeriodicalId":421385,"journal":{"name":"The Journal of Management, Digital Business, and Entrepreneurship","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123298853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-19DOI: 10.58857/jmdbe.2023.v01.i01.p05
Adrian Gradiyanto, Arining Pangestu, Isabella Monica Putri, Anny Nurbasari
This study aims to test and analyze the effect of store atmosphere and sales promotions on the impulse buying of five flavors café during the Covid-19 pandemic. Data collection in this study used a survey method with an air questionnaire built using a Likert scale. The sample of this research was 300 respondents who were selected using purposive sampling with the criteria of respondents being consumers of Café Lima Rasa in Bandung City. The research model was built and analyzed using the Structural Equation Modeling (SEM) analysis method. The research data were analyzed using Smart PLS software. Based on the hypothesis testing, it was found that store atmosphere and sales promotion did not have a positive effect on impulse buying, and sales promotion had a positive effect on impulse buying. For this reason, the researcher suggests that Cafe Lima Rasa's management increase sales promotions to increase impulse buying, especially using social media, considering that based on the results of descriptive statistics, Café Lima Rasa's consumers are mostly young people. The management of Café Lima Rasa should also design a better store atmosphere so that the cafe's appearance becomes more Instagram-able and can support sales promotions.
本研究旨在测试和分析新冠疫情期间，门店氛围和促销活动对五种口味咖啡冲动购买的影响。本研究的数据收集采用问卷调查的方法，采用李克特量表建立空气问卷。本研究的样本是300名受访者谁是选择使用有目的的抽样与受访者的标准是消费者的caf利马拉萨在万隆市。采用结构方程建模(SEM)分析方法建立研究模型并进行分析。使用Smart PLS软件对研究数据进行分析。通过假设检验，发现店铺氛围和促销对冲动购买没有正向影响，促销对冲动购买有正向影响。因此，研究人员建议Cafe Lima Rasa的管理层增加促销活动来增加冲动购买，特别是使用社交媒体，考虑到根据描述性统计的结果，Cafe Lima Rasa的消费者主要是年轻人。caf Lima Rasa的管理层还应该设计一个更好的商店氛围，让咖啡馆的外观变得更适合instagram，并可以支持促销活动。
{"title":"The Influence of Store Atmosphere and Sales Promotion on Impulse Buying at Lima Rasa Café During the Covid-19 Pandemic","authors":"Adrian Gradiyanto, Arining Pangestu, Isabella Monica Putri, Anny Nurbasari","doi":"10.58857/jmdbe.2023.v01.i01.p05","DOIUrl":"https://doi.org/10.58857/jmdbe.2023.v01.i01.p05","url":null,"abstract":"This study aims to test and analyze the effect of store atmosphere and sales promotions on the impulse buying of five flavors café during the Covid-19 pandemic. Data collection in this study used a survey method with an air questionnaire built using a Likert scale. The sample of this research was 300 respondents who were selected using purposive sampling with the criteria of respondents being consumers of Café Lima Rasa in Bandung City. The research model was built and analyzed using the Structural Equation Modeling (SEM) analysis method. The research data were analyzed using Smart PLS software. Based on the hypothesis testing, it was found that store atmosphere and sales promotion did not have a positive effect on impulse buying, and sales promotion had a positive effect on impulse buying. For this reason, the researcher suggests that Cafe Lima Rasa's management increase sales promotions to increase impulse buying, especially using social media, considering that based on the results of descriptive statistics, Café Lima Rasa's consumers are mostly young people. The management of Café Lima Rasa should also design a better store atmosphere so that the cafe's appearance becomes more Instagram-able and can support sales promotions.","PeriodicalId":421385,"journal":{"name":"The Journal of Management, Digital Business, and Entrepreneurship","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115639455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-18DOI: 10.58857/jmdbe.2023.v01.i01.p02
Ria Ayu Widari Sutriana
Companies or organizations that want to continue to grow and develop in increasingly fierce competition need to innovate to create a competitive advantage. Big data has made it easier and more possible for organizations to make effective decisions thanks to the data-driven insights that big data analytics provides. Researchers and executive managers will focus more on data-driven decision-making and how to help businesses become data-driven by facilitating interactions between decision makers and the big data analytics pool. In this paper, we propose the role of innovation in driving the optimization of big data and big data analytics aimed at creating value for the company's progress.
{"title":"Big Data and Big Data Analytics in Value Creation and Innovation","authors":"Ria Ayu Widari Sutriana","doi":"10.58857/jmdbe.2023.v01.i01.p02","DOIUrl":"https://doi.org/10.58857/jmdbe.2023.v01.i01.p02","url":null,"abstract":"Companies or organizations that want to continue to grow and develop in increasingly fierce competition need to innovate to create a competitive advantage. Big data has made it easier and more possible for organizations to make effective decisions thanks to the data-driven insights that big data analytics provides. Researchers and executive managers will focus more on data-driven decision-making and how to help businesses become data-driven by facilitating interactions between decision makers and the big data analytics pool. In this paper, we propose the role of innovation in driving the optimization of big data and big data analytics aimed at creating value for the company's progress.","PeriodicalId":421385,"journal":{"name":"The Journal of Management, Digital Business, and Entrepreneurship","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131612138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-17DOI: 10.58857/jmdbe.2023.v01.i01.p01
Masrurotus Sa’adah, Didin Fatihudin, Anita Roosmawarni
This study aims to test and analyze impact profitability, liquidity, and credit risk of the banking sub-sectors on market capitalization listed on the Indonesia Stock Exchange from 2009-2018. This research method used panel data regression analysis. The sampling method of this research used a purposive sampling technique. The F-test results showed that profitability, liquidity, and credit risk simultaneously had a significant effect on market capitalization with a significance value of 0.0%. The test results with the t-test show that only profitability has a significant positive impact on market capitalization with a significance level of 0.0%. In contrast, other variables, namely liquidity and credit risk, had an insignificant effect.
{"title":"Impact Profitability, Liquidity, and Credit Risk to Market Capitalization Banking Sector on the Indonesia Stock Exchange","authors":"Masrurotus Sa’adah, Didin Fatihudin, Anita Roosmawarni","doi":"10.58857/jmdbe.2023.v01.i01.p01","DOIUrl":"https://doi.org/10.58857/jmdbe.2023.v01.i01.p01","url":null,"abstract":"This study aims to test and analyze impact profitability, liquidity, and credit risk of the banking sub-sectors on market capitalization listed on the Indonesia Stock Exchange from 2009-2018. This research method used panel data regression analysis. The sampling method of this research used a purposive sampling technique. The F-test results showed that profitability, liquidity, and credit risk simultaneously had a significant effect on market capitalization with a significance value of 0.0%. The test results with the t-test show that only profitability has a significant positive impact on market capitalization with a significance level of 0.0%. In contrast, other variables, namely liquidity and credit risk, had an insignificant effect.","PeriodicalId":421385,"journal":{"name":"The Journal of Management, Digital Business, and Entrepreneurship","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130204451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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