scholarly journals Determinant of Student Decisions in Choosing Diploma Study Program at Vocational College

2021 ◽  
Vol 7 (3) ◽  
pp. 1029
Author(s):  
Amir Hamzah ◽  
Tito Prayitno

<p>The requirements in entering the world of work today demand professional skills and abilities according to the needs of the organization. Therefore, effective marketing strategies become important for vocational colleges to get prospective students. There are several studies that examine the factors that influence students' decisions in choosing a college, but research focusing on vocational college research is still very limited. This study aims to analyze the determinants that influence students' decisions in choosing a course of study at a Vocational College. This study was conducted by an online survey of 158 respondents who were studying at three Vocational Universities in Banten Province, namely ASM Lepisi, Politeknik LP3I Jakarta Tangerang Campus, and Politeknik PGRI Banten. Analyze the data using Partial Least Square Structural Equation Modeling (PLS-SEM). Finally, the author expects the empirical results of this study to be useful as a reference for marketing practitioners of Vocational Universities in West Java and Banten, in particular and Indonesia in general.</p>

2016 ◽  
Author(s):  
◽  
Chatchai Pinthuprapa

This dissertation introduce and empirically verify a structure of Energy Savings Performance Contracting (ESPC) perspective among clients, Energy Service Companies (ESCOs) and governments. The new approach ESPC structure model presented herein is built on the Motivation-Opportunity-Ability (MOA) theory where key influences are identified. An important component of performance contracting, the performance measurement, has been incorporated in the structure to monitor the effect on ESPC implementation success. The proposed structure and hypothesis were verified as a current ESPC practice in the United States through an online survey. The proposed structure was analyzed to understand relationships between the stakeholders, key factors, barriers and/or practices among the constructs through the structural equation modeling (SEM) approach. Due to the complex relationship of non-normal data and small sample size compared to the number of variables, the Partial Least Square SEM (PLS-SEM) method was chosen. The survey statistical results were used to verify the ESPC-MOA structure, develop an implementation guide and identify the ESPC critical factors to help establish its implementation success.


Author(s):  
A.M. Mutawa ◽  
◽  
Sai Sruthi ◽  

The World Health Organization (WHO) declared Covid-19 as a pandemic in early 2020. As a result, the organization has decided to close all educational institutions, and thereby conventional classroom learning has become obsolete. And as a consequence, exams taken online have become an essential part of an online assessment. The critical issue that arises is how to maintain online exam credibility and student honesty during online exams. In this work, we study the acceptance of online exams by Kuwait University students exposed to online proctoring during the lockdown. We proposed an acceptance model based on the TAM framework but with twelve constructs applied to three proctoring methods: AI proctoring, live human proctoring, and blended proctoring. The data is collected using an online survey from 478 college students. The partial least square structural equation modeling (PLS-SEM) method is used to process the collected data. The findings indicate that live-human and mixed proctoring provide a greater level of satisfaction than AI proctoring alone.


Since the inception of the first cryptocurrency in 2008, cryptocurrency has been receiving global attention from the public, media, merchants and regulators. Although the general sentiment suggested cryptocurrencies which leverage on blockchain technology might eventually replace the paper currency as the mainstream currency, the Malaysian regulators are still unsure that a well-established cryptocurrency ecosystem can come into place anytime soon. Unfortunately, there is a lack of cryptocurrency acceptance study, particularly in Malaysia (developing country context). Hence, this paper aims to propose a research model that integrates cryptocurrency dimension antecedents with Unified Theory of Acceptance and Use of Technology2 (UTAUT2) constructs to examine the factors that influence cryptocurrency acceptance. This study employs a quantitative approach by collecting online survey questionnaire data through the means of cryptocurrency community group on social media. The survey instrument was reviewed by four experts from the field of blockchain and 36 responses have been gathered from individuals who have cryptocurrency knowledge for pilot study. To further evaluate the reliability and validity of the proposed measures, the measurement model was assessed using structural equation modeling (SEM) technique with partial least square approach (PLS). SmartPLS software was used for PLSSEM analyses. In this paper, the proposed research model contributes a high-level overview of and valuable insights into the potential cryptocurrency acceptance factors to regulatory bodies, practitioners as well as prospective cryptocurrency users. The findings of pilot study confirm that the measurement items and constructs in the proposed model are reliable and valid.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asif Ali Safeer ◽  
Yun Chen ◽  
Muhammad Abrar ◽  
Nilesh Kumar ◽  
Amar Razzaq

PurposeThe study aims to investigate the impact of perceived brand localness (PBL) and perceived brand globalness (PBG) on brand authenticity (BA) to predict consumers' attitudes toward local and global brands in two Asian markets. Further, the study examines the moderating role of uncertainty avoidance (UA) after controlling the effects of brand familiarity (BF) in Asian markets (China and Pakistan).Design/methodology/approachIn accordance with the non-probability technique and through an online survey, the study collected 1,880 responses (on local and global brands) from China and Pakistan. Partial least square structural equation modeling (PLS-SEM) is the most robust technique applied to examine the proposed hypotheses in the Asian environment.FindingsAfter controlling the effects of BF, the findings revealed that PBL and PBG positively influenced consumers' perceptions of BA, which had a significant impact on consumers' brand attitudes toward both local and global brands in Asian markets. Further, the research identified that BA was an essential mediator from the Asian perspective. The interaction effects of UA and PBL on BA were discovered positively significant in Pakistan, whereas the effects of UA and PBG on BA were found negatively significant in Pakistan and had no effects in China.Research limitations/implicationsThe research focused on two Asian countries (China and Pakistan). However, future researchers may collect additional data from other Asian countries in order to generalize the findings in all Asian markets.Practical implicationsThe research assists local and global managers in designing and implementing various targeting, positioning and segmentation strategies for successfully managing businesses in Asian markets.Originality/valueThe novel research is based on signaling theory that contributes to the local and global branding domains from the Asian perspective (China and Pakistan).


Author(s):  
Farzana Quoquab ◽  
Azila Jaini ◽  
Jihad Mohammad

This study attempts to investigate the moderating effect of gender on value-belief-norm relationships. In addition, this study aims to investigate the factors that affect green purchase behavior of cosmetics products. Particularly, this study investigates the causal relationships between values and pro-environmental beliefs, pro-environmental beliefs and personal norms and personal norms and green purchase behavior. An online survey was carried out which yielded 240 usable responses among which 79 responses were obtained from males and 161 from females. Data were analyzed using structural equation modeling, partial least square (PLS-SEM) approach and multi-group analysis (MGA) technique. Results revealed that all direct relationships were supported by the data. It was also found that gender moderates the relationships between altruistic values and pro-environmental beliefs, pro-environmental beliefs and personal norms and personal norms and green purchase behavior. Nevertheless, gender did not moderate the link between hedonic value and pro-environmental beliefs. This study contributes to the existing literature by considering gender as a moderator, which is comparatively new in the green purchase behavior literature. In addition, this study examines few new linkages: more specifically, incorporating hedonic value in value-belief link and adapting value-belief-norm (VBN) theory in measuring consumers’ green purchase behavior.


2021 ◽  
Vol 17 (4) ◽  
pp. 75-87
Author(s):  
Hai Ninh Nguyen ◽  
Thanh Binh Nguyen

The current study develops a research model and explores the correlation between customer sense of online betrayal, brand hate, and anti-brand activism. The outrage customers’ anti-brand behaviors consist of negative online word of mouth, online public complaining, and online boycott. Data from an online survey of 383 online shoppers were used to test seven proposed hypotheses. The partial least square–structural equation modeling (PLS-SEM) was adopted to assess the measurement and structural model. The findings showed that the sense of online betrayal positively and significantly affects brand hate and anti-brand behaviors. In addition, brand hate is also the leading cause of customers’ anti-brand actions. The present study highlights the mediation role of brand hate in eliciting revenge from consumers subjected to online betrayal. This study also gives some recommendations to customers to stop the misconduct behaviors of online betrayals, such as spreading their betrayal cases to friends and relatives via social media, then asking for supports and help from governmental and legal agencies and participating in boycotts; raising boycott movements against the betraying brand should be considered as the most extreme punishment.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Talita Leoni Rizkitysha ◽  
Arga Hananto

Purpose Despite the high research interest regarding Halal products, most studies on Halal products focused on food and cosmetics. This study aims to examine the factors that affect the attitude and purchase intention of non-food Halal products in a limited context of detergent products. This study is derived from the theory of reasoned action. It incorporates knowledge, religiosity and perceived usefulness of Halal label as antecedents of attitude. Design/methodology/approach This study applied a self-administered online questionnaire. Data were collected through an online survey with a non-probability sampling technique (convenience sampling). The study retained a total of 264 valid responses. The respondents mainly consisted of Muslim consumers from the 18–24 age group (62.5%), followed by the 25–31 age group (29.2%). Data were analyzed using partial least square structural equation modeling. Findings The results indicate that attitude toward Halal-labeled detergent is affected by the perceived usefulness of the Halal label, and knowledge of Halal. Consequently, attitude toward Halal-labeled detergent positively affects intention to buy Halal-labeled detergent. This study also suggests that religiosity has a positive effect on the perceived usefulness of the Halal label and purchase intention of Halal detergent. Originality/value This study is among the few studies that discuss the antecedents and consequences of attitude toward Halal products in the context of detergent, a non-food Halal product category besides cosmetics. Muslim consumer responses toward Halal label were mostly researched in food and cosmetics contexts, while in some countries such as Indonesia, Halal labeling on all products has recently become mandated by legislation. Hence, this study provides some insights regarding Muslim consumer’s attitudes toward Halal-labeled products besides food and cosmetics.


2018 ◽  
Vol 6 (2) ◽  
pp. 199
Author(s):  
Asep Saifuddin Chalim

This study discussed employee turnover as one of the crucial problems faced by every organization. This study sought to analyze the determinants of turnover intention, such as job insecurity, organizational commitment, and job satisfaction. The objects of this study were newcomer lecturers of private Islamic universities in East Java Province, Indonesia. To analyze the relationship among independent variables and dependent variable; this study employed a correlation path model. To build the structural formulation of the correlation path model, this study used the variance-based Structural Equation Modeling (SEM) as a Partial Least Square (PLS) analysis. The study found that job insecurity influenced job satisfaction and organizational commitment. Moreover, job satisfaction and organizational commitment had positive impacts on the turnover intention. In contrast, job insecurity did not have a direct significant impact on the turnover intention, but it had indirect effect that influences job satisfaction and organizational commitment.


2020 ◽  
Author(s):  
Murat Kayak

This study aims to investigate destination brand prestige, and to explore the mediating effects of destination brand worldness between destination brand prestige and intention to revisit. Research is designed to collect primary data from the Taiwanese tourists. Partial least squares structural equation modeling is used to test the effects. The research model is appropriately implemented in Smart PLS 3 and a full mediation has existed through the empirical findings. The study shows how destination brand worldness mediates the relationship between destination brand prestige and intention to revisit.


2020 ◽  
Vol 4 (4) ◽  
pp. 55-74
Author(s):  
Faqeer Muhammad ◽  
Kifayat Ullah ◽  
Rehmat Karim

This study aims to explore the influence of Natural Resources and Environment (NRE), Politico-Economic Conditions (PEC) on Tourist Behavioral Intension (TBI) in Hunza, Pakistan. The study further investigates the mediating role of Tourist Satisfaction (TS) on the given variables. Partial Least Square Structural Equation Modeling (PLS-SEM) technique has been applied to conceptualize the research frame and to test the proposed hypotheses. Primary data was collected by using convenient sampling technique for analysis from 220 tourists who visited tourism nucleus sites of Hunza. The finding of the study reveals that Natural resources and Environment, Politico-and Economic Conditions have a significant positive impact on Tourist’s Behavioral Intensions. Moreover, Tourist’s Satisfaction partially mediates the positive relationships among Natural Resources and Environment, Political & Economic Conditions and Tourist’s Behavioral Intensions. The findings of the study extend the understanding that presence of natural resources along with healthy environment and stable political & economic conditions of a destination are the key determinants for sustainable tourism development.


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