International Journal of Business & Management Science

PRINT: ISSN 1837-6614; ONLINE: ISSN 1985-692X

A 21 Century Journal of Business and Management Science

 

 

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Volume 11 Number 1, 2021

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The Relationship between earnings and stock return: An empirical study of Bahrain Stock Exchange (Abdelrahman Ahmad Meero)

This paper aims to test the relationship between earnings and stock return in Bahrain Stock Exchange (BSE). The majority of the companies listed in BSE are included in the sample. Research model has been designed depending on the previous effort of Easton and Harris. Three models have been tested by regression analysis. The first model is linking stock return with earnings level (earnings value). The second model is focused in the change in earnings level. The third model combines the two previous models in one by linking earning level and change in earning level to the stock return. The data is collected from the published annual financial reports for the period extended from January 2011 to December 2017. The regression results of the three models show a non-significant relationship between earnings and stock return. The research result imply that the irrelevance of earnings per share of determining the share market price of the listed companies in BSE.

 

Consumption Values as Determinants of Electric Car Purchase Intention among Malaysian Consumers (Nor Azila Mohd Noor, Mohd Norsam Mohd Sari, Azli Muhammad, Filzah Md Isa)

The high number of institutions of higher education makes tighter competition to get prospective students. One of prospective students to choose universities is influenced by references. The purpose of this study is to analyze service quality, commitment and reputation as the determinants of students’ loyalty. The population of this research were 5th semester students of the Faculty of Economics, Universitas Negeri Semarang, they were 874 students. The data were analyzed by Structural Equation Model (SEM) with AMOS 22.0. The results of the study showed that the research model meets the criteria of goodness of fit or the model is feasible. The effect magnitude of service quality on reputation was 46%. Then, the effect of commitment on reputation was 36.9%. Furthermore, the effects of reputation, commitment, and service quality on students’ loyalty were 69.8%, 72.8%, and 58.3%. However, service quality and commitment had indirect effect on students’ loyalty through reputation.

 

Factors influencing online game player’s engagement through live streaming for sustainable online game business(Thanaphol Kongrit, Supaporn Kiattisin)

Live streaming is considered to be an online game marketing strategy for areas with social gaming communities. This paper aims to explore the factors that influence engagement with online gaming communities of Thailand. The theoretical for this study is the extended planning behavior theory (TPB). The key findings showed that the human computer interaction and flow experience were key dimensions, followed by perceived enjoyment, then attention, and subjective norm. This research filled a study gap regarding the application of live streaming in the online gaming. It is recommended that marketing teams develop an awareness about, and promote more adoption of live-streaming for the sustainable online gaming business.

 

Hybrid Forecasting Model for Sales Prediction and Raw Materials Inventory Planning: Air Purifier Company Case Study in the Eastern industrial estate, Thailand (Thitima Wonginta, Anirut Kantasa-ard)

Air purifiers are one of the most popular electrical appliances in this period due to increasing air pollution. Moreover, the customer demand for this product is continuously growing and fluctuation. This paper aims to investigate and propose the appropriate forecasting model to support sales prediction of the air purifier. The anonymous Air Purifier company in the Eastern region of Thailand is chosen as a case study for this experiment. This experiment demonstrates that the hybrid LSTM-SI forecasting model provides the best performance. Moreover, the forecast results reduce holding and ordering costs by around 35% and 52% after comparing with the existing solution.

 

Circular Economy In Car Industry - Learning From The Past To Manage Future Steps In Technology: A Bibliometric Analysis (Paolo Biancone, Valerio Brescia, Davide Calandra, Federico Lanzalonga)

Increasing climate change and rising pollution are getting significant attention from the scientific community and the political sphere. Among the sectors facing pressure is the automotive industry, which business model appears no longer sustainable. However, no study considers the analysis of bibliometric variables. The present paper aims to fill this gap by analysing the existing literature on the circular economy and the automotive industry. The search considers 256 peer-reviewed articles. The analysis conducted revealed: (1) the approach of scholars to the circular economy theme; (2) the dendrogram of topics describes how studies are very fragmented for now and that there is not a clear direction for business model change; (3) the countries most active in research are China, Spain, Italy and the UK. Finally, it suggests further fields for research development.

 

Impairment Model Applying Montecarlo Simulation: Expected Loss Approach for Companies in the Real Sector (Aracely Sánchez-Serna, Elmer Adrián Camacho-Zabala, Milton Januario Rueda Varon, Alba Rocío Carvajal Sandoval)

In the credit risk impairment model framed within International Financial Reporting Standards 9, companies must estimate a probability of default (PD) for all financial assets valued at amortized cost. Research results shown in this article focus on an impairment model for companies in the real sector. A model framed in Montecarlo and in the International Scoring, Fair Isaac and Company methodology is proposed. First, each sector is risk rated; then, depending on the historical date of loss of its financial assets, each entity calculates the PD according to the rating of the sector where its financial assets are located. Finally, the model classifies each sector in a credit risk score, and allows to validate, through Montecarlo simulation, the probability of loss directly in the companies.

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