Issued by Goodwood Publishing, the Annals of Management and Organization Research (AMOR) is an international, peer-reviewed, and scholarly journal that publishes high-quality research articles covering qualitative and quantitative research discussing interesting and contemporary topics on all areas of management and organization sciences. AMOR is aimed at providing academic media for researchers, academicians and practitioners to express their innovative ideas in developing theories and practice of management and organization.
Published
2023-08-24
Articles
Testing the efficient market hypothesis with Indonesian Islamic Stocks during the Covid-19 pandemic
Purpose: This study aims to identify the phenomenon of overreaction in Islamic stocks during the COVID-19 pandemic and understand how various pieces of information during the pandemic influenced investors to overreact, leading to market inefficiency.
Research Methodology: This study employs two main methods: an event study focusing on the overreaction phenomenon in the Islamic stock market, and cross-sectional regression to analyze the factors that influence it.
Results: Overreaction was observed in the winner's stock portfolio during the announcement of Indonesia's first COVID-19 case. However, during other significant events, such as the National Economic Recovery program issuance, the arrival of the vaccine, and the highest increase in daily positive cases, overreaction was seen in both the winner and loser stock portfolios. Factors such as abnormal returns, information leakage, and company ownership are identified as significant influencers of this overreaction. These factors were found to be negatively related to cumulative abnormal returns post-event, indicating their role in the overreaction phenomenon.
Limitation: This study focuses on the overreaction phenomenon of Shariah stocks in the Jakarta Islamic Index (JII) during the COVID-19 pandemic in 10 selected events from October 1, 2019, to July 23, 2021.
Contribution: This study offers insights into the behavior of Islamic stocks in Indonesia during the pandemic, helping stakeholders understand market inefficiencies during crises.
Analyzing differences in customer satisfaction on the video streaming platform Netflix
Purpose: With the rise of online video streaming platforms and the preventive measures taken during the COVID-19 pandemic, staying at home has become the preferred choice for people. As a result, online video streaming platforms, one of the components of the home economy, have experienced rapid growth. Netflix is a subscription-based service that offers movies and TV shows, delivering media content to subscribers through internet streaming.
Research methodology: This study utilizes the Importance-Satisfaction Model (I-S Model) as a research tool to explore customer satisfaction levels. Through literature review and expert confirmation, 16 key quality factors were identified for conducting importance and satisfaction surveys among Netflix customers. Additionally, demographic variables such as gender, marital status, education level, occupation, and age were analyzed for differences in the Importance-Satisfaction Model.
Results: The study reveals that out of the overall Importance-Satisfaction Model, 2 factors fall in the "Improveme+nt area", 9 factors fall in the "Excellent area ", 4 factors fall in the "Careless area ", and 1 factor falls in the "Surplus area ".
Limitations: The respondents were not randomly selected from all OTT video platform users, and furthermore, due to limitations in the distribution channels of the questionnaire, the age range of the respondents in this study was concentrated in high school, college, and young working groups.
Contribution: These findings indicate that consumers are generally satisfied with the service quality provided by Netflix.
The profit efficiency analysis of malaysian commercial banks: A Data Envelopment Analysis (DEA)
Purpose: This study aims to measure and compare the profit efficiency of local and international commercial banks in Malaysia before and during the COVID-19 pandemic in accordance with the new Basel Committee III guidelines, which mandate banks to adopt a systematic approach to deal with uncertain economic conditions, including events such as the COVID-19 pandemic.
Research methodology: This study uses Data Envelopment Analysis (DEA), a non-parametric method based on linear mathematical programming, to measure the efficiency of local and international commercial banks in Malaysia.
Results: The analysis revealed that local international commercial banks were more efficient than local commercial banks before and during the COVID-19 crisis.
Limitations: Potential areas for future research involve extending the application of Data Envelopment Analysis (DEA) and examining various dimensions and metrics about different countries, as each country possesses distinct financial contexts.
Contribution: This study contributes to the existing body of literature on the profit efficiency of local and international banks. It provides insights that can assist the government in formulating appropriate regulations to enhance banks’ profit efficiency, thereby improving their overall performance.
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