FOUR NUANCES OF ISLAMIC FINANCE RESEARCH: A BIBLIOMETRIC ANALYSIS APPROACH FOR EXPLORING THE STRUCTURE OF RESEARCH

Background and Purpose: Islamic finance is an important driver of the economy for the Muslim world, particularly to the developing Muslim majority countries in Southeast Asia. Scholars continue to pay close attention to Islamic finance research because it differs from conventional finance in many ways. Islamic finance research, like other fields of study, has to take a step back to evaluate what has been accomplished, who has contributed, and what the trending research topics are throughout its development. To that end, this research aims to investigate the structure of Islamic finance research by identifying its key nuances to date.   Methodology: This study uses the VOSviewer program to perform bibliometric analysis techniques, particularly the citation, bibliographic coupling, and co-word analysis, to investigate the structure of Islamic finance research. The analyses were conducted by identifying the scientific journals that have a significant impact in the field based on a sample of 1,567 articles spanning the years 1955 to 2019, or 65 years of research.   Findings: The major findings of the study are the identification of the four key nuances that form the structure of Islamic finance research and the most referred publications for each of the nuances using citation, bibliometric coupling and co-word analysis. The key nuances include:  1) Bank performance, stability, corporate governance, and risk management; 2) Customer’s patronization and satisfaction factors; 3) Islamic microfinancing and social banking; and 4) Islamic capital market products and performance.   Contributions: This study presents an easy-to-read network of research nuances useful for understanding the Islamic finance literature and supporting future research in this field. The study also provides practical contributions to Islamic financial institutions by showing the major areas of focus to improve or sustain them in the industry.   Keywords: Bibliometric analysis, Islamic finance nuances, literature review, co-word, bibliographic coupling.   Cite as: Abdullah, A. R., Abdullah, S. S., Zainuddin, S. A., Azmi, N. F., & Abdullah, T. (2023). Four nuances of Islamic finance research: A bibliometric analysis approach for exploring the structure of research. Journal of Nusantara Studies, 8(1), 158-183. http://dx.doi.org/10.24200/jonus.vol8iss1pp158-18

Suicide Risk and Protective Factors in Online Support Forum Posts: Annotation Scheme Development and Validation Study

BackgroundOnline communities provide support for individuals looking for help with suicidal ideation and crisis. As community data are increasingly used to devise machine learning models to infer who might be at risk, there have been limited efforts to identify both risk and protective factors in web-based posts. These annotations can enrich and augment computational assessment approaches to identify appropriate intervention points, which are useful to public health professionals and suicide prevention researchers. ObjectiveThis qualitative study aims to develop a valid and reliable annotation scheme for evaluating risk and protective factors for suicidal ideation in posts in suicide crisis forums. MethodsWe designed a valid, reliable, and clinically grounded process for identifying risk and protective markers in social media data. This scheme draws on prior work on construct validity and the social sciences of measurement. We then applied the scheme to annotate 200 posts from r/SuicideWatch—a Reddit community focused on suicide crisis. ResultsWe documented our results on producing an annotation scheme that is consistent with leading public health information coding schemes for suicide and advances attention to protective factors. Our study showed high internal validity, and we have presented results that indicate that our approach is consistent with findings from prior work. ConclusionsOur work formalizes a framework that incorporates construct validity into the development of annotation schemes for suicide risk on social media. This study furthers the understanding of risk and protective factors expressed in social media data. This may help public health programming to prevent suicide and computational social science research and investigations that rely on the quality of labels for downstream machine learning tasks

Simple Arm Muscle Model for Oil Palm Harvesting Process

Arm are essential in order to perform manual material handling work that normally involves lifting, handling, placing, push and pull, carrying and moving heavy loads. When these work elements are performed over prolonged periods repeatedly, it will expose workers arm to awkward posture and possible ergonomic risk factor. For example, work element that requires repetitions frequently may lead the arm to face physical stress and mental fatigue. The situation can be extremely risky if the worker task requires higher focus or time consumable. These issues are unavoidable in palm oil harvesting process since the workers are still using manual handling when harvesting the fresh fruit bunch (FFB). The worker using a chisel to harvest the young palms and a sickle mounted on a bamboo or aluminum pole to harvest taller palms. When perform this work element combining with heavy physical workload, it may lead to work-related muscle disorders (WSMDs). This study was conducted to identify the force reaction and inverse dynamic analysis during oil palm harvesting process using ergonomics software called Anybody Technology. Inverse dynamic analysis is a technique for figuring strengths and/or moments of power (torques) taking into account the kinematics (movement) of a body and the body’s inertial properties

Simple Arm Muscle Model for Oil Palm Harvesting Process

Arm are essential in order to perform manual material handling work that normally involves lifting, handling, placing, push and pull, carrying and moving heavy loads. When these work elements are performed over prolonged periods repeatedly, it will expose workers arm to awkward posture and possible ergonomic risk factor. For example, work element that requires repetitions frequently may lead the arm to face physical stress and mental fatigue. The situation can be extremely risky if the worker task requires higher focus or time consumable. These issues are unavoidable in palm oil harvesting process since the workers are still using manual handling when harvesting the fresh fruit bunch (FFB). The worker using a chisel to harvest the young palms and a sickle mounted on a bamboo or aluminum pole to harvest taller palms. When perform this work element combining with heavy physical workload, it may lead to work-related muscle disorders (WSMDs). This study was conducted to identify the force reaction and inverse dynamic analysis during oil palm harvesting process using ergonomics software called Anybody Technology. Inverse dynamic analysis is a technique for figuring strengths and/or moments of power (torques) taking into account the kinematics (movement) of a body and the body’s inertial properties

Simple Arm Muscle Model for Oil Palm Harvesting Process

Arm are essential in order to perform manual material handling work that normally involves lifting, handling, placing, push and pull, carrying and moving heavy loads. When these work elements are performed over prolonged periods repeatedly, it will expose workers arm to awkward posture and possible ergonomic risk factor. For example, work element that requires repetitions frequently may lead the arm to face physical stress and mental fatigue. The situation can be extremely risky if the worker task requires higher focus or time consumable. These issues are unavoidable in palm oil harvesting process since the workers are still using manual handling when harvesting the fresh fruit bunch (FFB). The worker using a chisel to harvest the young palms and a sickle mounted on a bamboo or aluminum pole to harvest taller palms. When perform this work element combining with heavy physical workload, it may lead to work-related muscle disorders (WSMDs). This study was conducted to identify the force reaction and inverse dynamic analysis during oil palm harvesting process using ergonomics software called Anybody Technology. Inverse dynamic analysis is a technique for figuring strengths and/or moments of power (torques) taking into account the kinematics (movement) of a body and the body’s inertial properties