Search results

The purpose of this study is to examine the factors that influence capital structure, profitability and stock returns and the relationship between capital structure, profitability and stock returns. The endogenous variables in this study are capital structure, profitability and stock returns, whereas the exogenous variables are firm size, growth opportunity, tangibility, liquidity, volatility and uniqueness.

The population used is a company that is listed on the compass index 100 period of August 2016. A total of 64 companies are sampled in this study. The unit of analysis is 448 data. The data analysis technique used is path analysis with the help of AMOS.

The results obtained show only profitability variables that affect stock returns. Variable capital structure, firm size, growth opportunity, tangibility and liquidity have no significant effect. Variables that influence capital structure are only influenced by growth opportunity, whereas other variables are not significant and variables that affect profitability are firm size, growth opportunity, uniqueness and volatility.

Path analysis is a model similar to the multiple regression analysis, factor analysis, canonical correlation analysis, discriminant analysis and more general multivariate analysis groups. This research discusses that capital structure is useful for increasing the value of the company in the sense that the more debt that is used, a tax deduction will be obtained because of interest costs. So that the company’s profits will increase and eventually will increase the value of the company. This opinion remains a controversy among financial experts. Until now, there is no agreement that can explain the capital structure in all conditions of the company. There are two important theories concerning capital structure, trade-off theory and pecking order theory.

The purpose of this paper is (1) to determine the factors that significantly influence the capital structure, (2) to determine the factors that significantly influence profitability, (3) to find the factors that significantly influence growth opportunities, (4) to find reciprocal influence between capital structure and profitability and (5) to find reciprocal influence between capital structure and growth opportunity.

The population of this research is a manufacturing company listed on the Indonesia Stock Exchange during the period of 2010–2016. The number registered in the manufacturing sector is 144 companies. The sampling technique applied is purposive sampling. The fulfillment criteria are companies that have been approved before 2010. Another criterion is that the company is not delisting during the observation period. From that total of population, companies that meet the requirements are 117 companies. This observation was conducted for seven years since 2010–2016, so the center of the analysis of this research was a total of 819. The inferential statistics method used to analyze the research data is generalized structural component analysis (GSCA).

The results of this study indicate that (1) the factors that influence the capital structure include effective tax rate, financial flexibility, growth, uniqueness, asset Utilization, firm size and tangibility; (2) factors that affect profitability include liquidity, growth, firm age, uniqueness, tangibility, volatility, advertising and asset turnover; (3) growth opportunity have a negative and significant influence on capital structure. This means an increase in growth opportunity can be defined as an increase in depreciation that will not be used as collateral for managers to increase debt. This increase in debt will have an impact on reducing growth opportunities; (4) profitability and capital structure have a two-way causality relationship, which means they influence each other and (5) capital structure and growth opportunities have a negative reciprocal relationship.

The authenticity of the study is implied in the following explanation: The authors try to examine the reciprocal effect of capital structure on profitability and capital structure on growth opportunities and the factors that influence these two endogenous variables that have never been done by previous researchers. This research is motivated by research conducted by (Chathoth and Olsen, 2007; Jian-Shen Chen et al., 2009; Yang et al., 2010) using the structural equation model (SEM). However, this study uses GSCA as a method of research analysis.

This study focuses on the Indonesian seniors’ motivation in terms of travelling to a destination abroad. Using the push–pull motivation constructs and recognising the role of culture in influencing travel behaviour, the purpose of this study is to develop a better understanding of the underlying factors that explain why Indonesian seniors travel to and select an international destination.

A questionnaire-based survey was completed to collect data from 246 Indonesian seniors aged 55 years and over who had travelled overseas. Factor analysis was applied to reduce the total of 34 push and pull travel motivation items into new underlying factors. Informal interviews were also undertaken to support the analysis.

Personal development, relaxation and relationship enhancement appeared to be the three factors that internally pushed the seniors to travel abroad. Meanwhile, facilities and hygiene, destination familiarity, value for money and destination proximity, local attractions and supporting travel facilities were found to be the factors that pulled the seniors to select an international destination they would like to visit. The emergence of relationship enhancement, destination familiarity and value for money and destination proximity factors were evident that the unique aspect of Indonesian cultural values could shape the motivation of Indonesian seniors to go travelling.

Although studies on senior travel motivation are abundant, empirical research studies that focus on examining Indonesian senior travel behaviour are still rare. This study therefore serves as one of the first attempts to examine the behaviour of Indonesian seniors when undertaking outbound travel trip. Based on the study’s findings, practical recommendations were offered to tourism stakeholders involved in tailoring a specific tourism product and services for the Indonesian senior tourist market.

At the onset of the COVID-19 pandemic, social distancing measures and diffuse communication by media led to consumers’ uncontrolled product purchases worldwide. This phenomenon was described as a psychological effect experienced by fictitious scarcity, anxiety and herd mentality exacerbated by the media. This exploratory study aims to analyze the impact of risk communication on the perceived risk from the psychological dimension of consumer behavior amid the COVID-19 pandemic.

An exploratory study was conducted through an electronic survey one week after implementing social distancing measures in Puerto Rico. With a sample of 353 participants, the data analysis was carried out by PLS-SEM, partial least squares structural equations (PLS-MGA), multi group test (MGA) and hierarchical component models to answer the research hypotheses.

The results revealed that risk communication activates the perceived psychological risk during the COVID-19 pandemic, and the way in which the consumer faces the psychological risk is explained by the perceptions of scarcity and the bandwagon effect.

To the best of the authors’ knowledge, this study is a pioneer in presenting relationships between risk communication and perceived risk in consumer behavior, a topic that needs to be addressed in the academic literature. The research makes significant contributions to the study of consumer behavior by empirically validating the three phases of the Conchar model – risk framing, risk assessment and risk evaluation – where risk communication offers an excellent delineation to understand the consumer’s behavior during a pandemic.