BM Thesis

1. The role of live streamer's credibility on customer engagement and impulsive buying decisions in social commerce in greater Jakarta : Tiktok live streaming shopping

   The rise of live streaming shopping has prompted questions regarding the impact of streamer's credibility on customer engagement and impulsive buying decisions. This inquiry is underscored by the success of Douyin live streamer, Zhen Xiang Xiang who achieved significant sales by showcasing products swiftly through a minimalist approach. This phenomenon raises the question of whether a streamer's credibility significantly impacts customer engagement and impulsive buying decisions, and whether such an approach could be effective in Indonesia. Moreover, there is a notable gap in comparative research on the roles of streamer's attractiveness, expertise, and trustworthiness, with disparate findings from previous studies regarding their impact on customer engagement and impulsive buying decisions. This study is focusing on TikTok live streaming shopping in Greater Jakarta, assessing the impact of streamer's attractiveness, expertise, and trustworthiness on impulsive buying decisions, with customer engagement serving as an intervening variable, guided by the SOR (stimulus-organism-response) model theory. The data was gathered by employing purposive sampling with 100 respondents filling out the questionnaires and analyzed using the SEM-PLS technique with SmartPLS4 software. The findings revealed that streamer's attractiveness, trustworthiness, and expertise each positively and significantly impact customer engagement. Furthermore, the study underscores the importance of customer engagement in driving impulsive buying decisions in the live streaming shopping. It is revealed that streamer's attractiveness plays the most important role among the other credibility in impacting customer engagement. Therefore, live streamers, especially MSME owners, should prioritize credibility by maintaining professionalism. Crafting interactive and engaging content, emphasizing authenticity and relatability, and fostering a sense of community are also essential. Businesses seeking live streamers should prioritize those who excel in these areas, while digital marketing experts should emphasize these strategies to maximize campaign effectiveness.

   2024

2. The impact of AI implementation on Business operations in hospitals

   In this thesis, we will be exploring the implications of Artificial Intelligence (AI) and its integration across different domains within healthcare sectors. Such domains are as follows; logistics, human resource management (HRM), and business models. Among the increasing pace of digitalization caused by recent global health crises, the healthcare industry is at a crossroads, because of the incorporation of AI, a technology with the potential to transform patient care, operational efficiencies, and organizational dynamics. although AI promises improved diagnostic accuracy, optimized logistical operations, and novel business models, but its implementation creates ethical, operational, and strategic challenges. The paper is carried out using a comprehensive literature review and empirical research, in which it outlines the transformative impact of AI on healthcare logistics, that demonstrates significant efficiencies in suply chain management and predictive analytics. Also, AI plays a critical role in HRM by speeding up the hiring, training, and performance review processes, on the other hand concerns about data privacy and job displacement still exist. We will also be examining how AI affects business models revealing an important change in healthcare delivery toward one that is more patient-centric and data-driven. However, the implementation of AI raises a lot of critical issues such as data ethics, workforce displacement, and the need for regulatory frameworks to protect patient privacy and ensure equitable access to AI-enhanced healthcare services.

   2024

3. Analyzing the effect of macroeconomic toward LQ45 index : time series analysis from 2013-2022

   This study investigates the impact of macroeconomic variables-namely the Dow Jones industrial average (DJIA), exchange rate (USD/IDR), bank Indonesia (BI) rate, and gross Domestic Product (GDP) growth-on the LQ45 index in Indonesia, utilizing weekly data from 2013 to 2022. Through time series analysis, the research explores both the individual effects of these variables and the moderating influence of the BI rate on the relationship between the exchange rate and the LQ45 index. The findings indicate that the DJIA, exchange rate, and BI rate are significant determinants of the LQ45 index, with the DJIA showing a strong positive influence, consistent with the theory that U.S. market performance significantly impacts emerging markets. The exchange rate demonstrated a negative effect, reflecting the adverse impact on Rupiah appreciation on the export-driven Indonesian economy. The BI rate, while negatively correlated with the LQ45 index, showed an intensified effect when considered in conjunction with the exchange rate, highlighting the critical role of monetary policy in shaping stock market performance. However, GDP growth, although initially significant, lost its impact when the moderating variable was introduced, suggesting that its influence on the stock market is more complex and potentially overshadowed by other macroeconomic factors. This research contributes to the understanding of how global and domestic economic indicators influence stock market dynamics in Indonesia, offering valuable insights for investors and policymakers. The study underscores the importance of considering the interplay between exchange rates and monetary policy, particularly in the context of an interconnected global financial system.

   2024

4. The role of asset quality, liquidity risk, low cost funds, and sustainable bonds as determinants of net interest margin, with loan growth as the moderating variable : a case study on big-size and mid-size conventional banks in Indonesia from 2017-2023

   This study examined the role of asset quality, liquidity risk, low cost fund, and sustainable bonds as determinants of net interest margin, with loan growth as the moderating variable. The research object is mid-size and big-size banks listed on the Indonesian stock exchange (IDX) during the 2017-2023 period. Data were collected from 13 banking companies that fall under the category of KBMI III and KBMI IV. This study was carried out using a panel data regression model with a total of 91 observations. According to the test, it suggest the author to use fixed effect model (FEM) for the parameter estimation. The study confirms that the net interest margin can be significantly influenced by liquidity risk and low cost fund, where both of which have a negative effect on the net interest margin. On the other hand, asset quality and sustainable bonds were stated to have no significant influence on net interest margin. Additionally, this study found that loan growth was not capable of moderating the relationship between net interest margin and the determinant factors, due to its insignificant effect. These findings are expected to shed light on the mixed findings of previous research and offers new insight on the specific topic of determinant factors of net interest margin.

   2024

5. iEnhancing sales tactic in chicken broiler cut : implementation project at Makmur Berkah Bersama

   This independent project analyses the challenges faced by Makmur Berkah Bersama (MBB), an Indonesian B2B distributor of chicken broiler cuts - focusing on the previously mentioned lack of sales growth, brand recognition, and sales skills. The goal of this undertaking is to improve the market awareness of MBB, create sales, and strengthen better and more solid client relationships through the use of proper sales techniques and approaches. The study used both the quantitative and qualitative research method whereby the number of sales was analyzed and therefore coupled with the ratio of interviews conducted on the customer. Full fledged sales approach of focused sales training, dual or multiple contacts through different social media channels, and a tiered loyalty program were implemented in study. From the major findings, it can be identified that the following are some of the major factors that are considered by MBB's clients while choosing the right suppliers the major findings made indicate that quality, price and delivery time of the suppliers are critical determinants. Through the focused sales training that was accomplished effectively, the key competencies that were exercised embraced negotiation and persuasive presentations hence a drastic increase in the sales activity. The case of the application of Instagram to reinforce brand familiarity has been driving new consumers to the product and ensuring familiarity with the brand. This has been fueled by the intensified levels of customer patronage occasioned by the highly successful loyalty programmer by which customers are encouraged to buy incremental volumes. Analyzing customer data and applying targeted sales approach along with efficient use of social media in B2B sales can bring about the improvement in effectiveness of sales in the poultry distribution market. The study offers important implications that can be used by B2B organisations to enhance their sales approaches and relations with clients in highly saturated markets.

   2024

6. How is geographical diversification, mortgage rate, and GDP growth affect Indonesian property companies' performance measured by Tobin's Q with company size as the moderator ?

   The purpose of this study is to examine the relationship between geographical diversification, mortgage rate, GDP growth and the moderating effect of firm size on Indonesia property companies' performance measured by Tobin's Q. This study tries to fill the gap in the body of current literature concerning the study context of geographical diversification in property industry and Indonesia as it hasn't received much attention. With a particular focus on the impact of the moderating effect of company size that is often used as a control variable in similar studies. This study examines eight property companies listed on the Indonesia stock exchange with the data collection range from 2010 - 2022. Then it was processed with a quantitative research approach and panel data analysis with a total of 104 observations. The Hausman and Lagrange multiplier test result suggests using the random-effect model (REM) for the parameter estimation. This study discovered that Tobin's Q was only determined negatively by Mortgage rate and positively by the moderating effect on mortgage rate suggesting that mortgage rate heavily influences the price of property. Other than that, geographical diversification is found to be insignificant toward tobin's Q suggesting that companies that diversify may lack value added to the company but reduce risk as explained by modern portfolio theory. GDP growth was also found to be insignificant toward Tobin's Q suggesting that stock performance reflects the information of GDP growth as explained by the efficient market hypothesis. While the moderating effect of firm size on geographical diversification and GDP growth variables' effect toward Tobin's Q were empirically found to be insignificant. Suggesting that regardless of size, the company couldn't take the benefit of geographical diversification and GDP growth toward Tobin's Q. Therefore, to mitigate geographic risks, businesses should aim for geographic diversification and develop strategies for fluctuating mortgage rates. Investors must closely examine how companies handle diversification and mortgage rates. Government action is critical in regulating policies impacting mortgage rates and attract investment creating balanced regional development to enhance diversification and reduce economic disparities.

   2024