DECISION TO PURCHASE ONLINE AIRLINE TICKETS OF HO CHI MINH CITY CUSTOMERS

Abstract. The study aimed to identify and measure the factors affecting the decision to purchase online airline tickets in Ho Chi Minh City, Vietnam (HCMC) by surveying 536 customers aged 18 and over who bought airline tickets online and live in Ho Chi Minh City. The SPSS 20 tool was used to analyze the reliability of the scale through the Cronbach's Alpha coefficient, EFA exploratory factor analysis, AMOS 22 software to calibrate the scale by CFA confirmatory factor analysis, and evaluated by linear SEM analysis. Research results show that positive impact factors, decreasing by their strength, include: Perceived benefit, Perceived ease of use, Reputation of the airline, Subjective norm, Reliability. Meanwhile, Risk perception has a negative impact on the intention to buy airline tickets of customers. Research also indicates that the intention to purchase airline tickets online has an impact on purchase decisions. The results also help managers recognize the importance of the factors that affect the buying behavior of the consumers, andconsequently make appropriate strategic adjustments and actions in the competitive process for online airline tickets presently.Keywords: online airline ticket, HCMC consumers, purchase intention, purchase decisio

Risk Analysis and Reliability Improvement of Mechanistic-Empirical Pavement Design

Reliability used in the Mechanistic Empirical Pavement Design Guide (MEPDG) is a congregated indicator defined as the probability that each of the key distress types and smoothness will be less than a selected critical level over the design period. For such a complex system as the MEPDG which does not have closed-form design equations, classic reliability methods are not applicable. A robust reliability analysis can rely on Monte Carlo Simulation (MCS). The ultimate goal of this study was to improve the reliability model of the MEPDG using surrogate modeling techniques and Monte Carlo simulation. To achieve this goal, four tasks were accomplished in this research. First, local calibration using 38 pavement sections was completed to reduce the system bias and dispersion of the nationally calibrated MEPDG. Second, uncertainty and risk in the MEPDG were identified using Hierarchical Holographic Modeling (HHM). To determine the critical factors affecting pavement performance, this study applied not only the traditional sensitivity analysis method but also the risk assessment method using the Analytic Hierarchy Process (AHP). Third, response surface models were built to provide a rapid solution of distress prediction for alligator cracking, rutting and smoothness. Fourth, a new reliability model based on Monte Carlo Simulation was proposed. Using surrogate models, 10,000 Monte Carlo simulations were calculated in minutes to develop the output ensemble, on which the predicted distresses at any reliability level were readily available. The method including all data and algorithms was packed in a user friendly software tool named ReliME. Comparison between the AASHTO 1993 Guide, the MEPDG and ReliME was presented in three case studies. It was found that the smoothness model in MEPDG had an extremely high level of variation. The product from this study was a consistent reliability model specific to local conditions, construction practices and specifications. This framework also presented the feasibility of adopting Monte Carlo Simulation for reliability analysis in future mechanistic empirical pavement design software

Effect of viral parody on intent to share advertising on social network: The role of excited emotions and the need for cognition

This research is conducted with the objectives to identify factors and affecting the degree of each factor on sharing viral parody advertisement intension on social networks, and suggesting some managerial implications to help marketers develop and implement appropriate advertising strategies and effective for target customer groups. The research is conducted through two phases: qualitative research and quantitative analysis with a sample of 311 people who intend to share advertisements on social networks after viewing an advertisement. The research used SPSS 25 software to test Cronbach’s Alpha and exploratory factor analysis to test the reliability and value of the scales, the research also re-evaluated the convergence value, reliability, and discriminant value through confirmatory factor analysis and finally tested the research hypotheses in Amos 20 software. The result shows that 02 direct factors: Excited emotions and The need for cognition; 03 indirect factors are Emotion provoking advertising, Informative advertising and Creative advertising. As a result, the research propose some implications to marketers to build informative, creative, and emotional advertising content to create excitement for viewer and increase their intention to share Viral parody advertisement on social networks

Research on E-commerce Online to Offline Behavior Mechanism in Agricultural Products

Currently, online and offline channel integration as a successful business model is used in many industries, this paper aims at providing an insight into the factors affecting online channel (online shop) and offline channels (entity shop) in the agricultural product industry. Drawn from the extant literature, a consumer online and offline behavior model including trust, system quality, information quality , environment quality and service quality, online and offline satisfaction ,customer loyalty were provides. Data were obtained from 228 customers in china during 2014. Based on the data obtained, SPSS19.0 software is used to analyze reliability test and validity, descriptive statistics, correlation analysis, and AMOS17.0 were employed to calculate the path coefficient, and tests the proposed model. Data analysis shows that: The model describes the relationship among the online satisfaction, offline satisfaction and customer loyalty, and establishes a multi-relationship model that includes trust, system quality, information quality, environment quality and service quality. The factors impacting online satisfaction include trust, system quality and information quality; the factors impacting offline satisfaction include environment satisfaction and service quality. Meanwhile, we highlight the role of trust in online satisfaction, and prove that both online satisfaction and offline satisfaction have interaction on customer loyalty. Keywords

Investigating factors affecting labor productivity: A case study in Eghtesad-e-Novin Bank, Iran

One of the most important goals in each organization is improving the level of productivity, and given that manpower plays a central role in creation of productivity, requests in the organization are of great importance. This study aims to investigate the affecting factors on labor productivity in Eghtesad-e-Novin Bank. To this end, one main hypothesis and five secondary hypotheses are designed. A questionnaire was used to in order to collect the data for each of the dependent and independent variables. In this investigation, independent variables consist of organizational culture, organizational structure, human resource empowerment, and employee motivation, and the dependent variable is labor productivity. The statistical population consists of all employees (80 individuals) of Eghtesad-e-Novin Bank in the seven provinces region in Khuzestan, Lurestan. After evaluation of validity and reliability, questionnaires were distributed among employees and were analyzed using the SPSS software. The results of analysis indicate that there is a positive and significant relationship between factors of the independent variables and the dependent variable and that these factors have an influential relationship with labor productivity in the Eghtesad-e-Novin Bank

Investigating factors affecting labor productivity: A case study in Eghtesad-e-Novin Bank, Iran

One of the most important goals in each organization is improving the level of productivity, and given that manpower plays a central role in creation of productivity, requests in the organization are of great importance. This study aims to investigate the affecting factors on labor productivity in Eghtesad-e-Novin Bank. To this end, one main hypothesis and five secondary hypotheses are designed. A questionnaire was used to in order to collect the data for each of the dependent and independent variables. In this investigation, independent variables consist of organizational culture, organizational structure, human resource empowerment, and employee motivation, and the dependent variable is labor productivity. The statistical population consists of all employees (80 individuals) of Eghtesad-e-Novin Bank in the seven provinces region in Khuzestan, Lurestan. After evaluation of validity and reliability, questionnaires were distributed among employees and were analyzed using the SPSS software. The results of analysis indicate that there is a positive and significant relationship between factors of the independent variables and the dependent variable and that these factors have an influential relationship with labor productivity in the Eghtesad-e-Novin Bank

Investigating factors affecting labor productivity: A case study in Eghtesad-e-Novin Bank, Iran

One of the most important goals in each organization is improving the level of productivity, and given that manpower plays a central role in creation of productivity, requests in the organization are of great importance. This study aims to investigate the affecting factors on labor productivity in Eghtesad-e-Novin Bank. To this end, one main hypothesis and five secondary hypotheses are designed. A questionnaire was used to in order to collect the data for each of the dependent and independent variables. In this investigation, independent variables consist of organizational culture, organizational structure, human resource empowerment, and employee motivation, and the dependent variable is labor productivity. The statistical population consists of all employees (80 individuals) of Eghtesad-e-Novin Bank in the seven provinces region in Khuzestan, Lurestan. After evaluation of validity and reliability, questionnaires were distributed among employees and were analyzed using the SPSS software. The results of analysis indicate that there is a positive and significant relationship between factors of the independent variables and the dependent variable and that these factors have an influential relationship with labor productivity in the Eghtesad-e-Novin Bank

Fatores que afetam a adoção de análises de Big Data em empresas

With the total quantity of data doubling every two years, the low price of computing and data storage, make Big Data analytics (BDA) adoption desirable for companies, as a tool to get competitive advantage. Given the availability of free software, why have some companies failed to adopt these techniques? To answer this question, we extend the unified theory of technology adoption and use of technology model (UTAUT) adapted for the BDA context, adding two variables: resistance to use and perceived risk. We used the level of implementation of these techniques to divide companies into users and non-users of BDA. The structural models were evaluated by partial least squares (PLS). The results show the importance of good infrastructure exceeds the difficulties companies face in implementing it. While companies planning to use Big Data expect strong results, current users are more skeptical about its performance.Con la cantidad total de datos duplicándose cada dos años, el bajo precio de la informática y del almacenamiento de datos, la adopción del análisis Big Data (BDA) es altamente deseable para las empresas, como un instrumento para conseguir una ventaja competitiva. Dada la disponibilidad de software libre, ¿por qué algunas empresas no han adoptado estas técnicas? Para responder a esta pregunta, ampliamos la teoría unificada de la adopción y uso de tecnología (UTAUT) adaptado para el contexto BDA, agregando dos variables: resistencia al uso y riesgo percibido. Utilizamos el grado de implantación de estas técnicas para dividir las empresas entre: usuarias y no usuarias de BDA. Los modelos estructurales fueron evaluados con partial least squres (PLS). Los resultados muestran que la importancia de una buena infraestructura excede las dificultades que enfrentan las empresas para implementarla. Mientras que las compañías que planean usar BDA esperan muy buenos resultados, las usuarias actuales son más escépticos sobre su rendimiento.Com a quantidade total de dados duplicando a cada dois anos, o baixo preço da computação e do armazenamento de dados tornam a adoção de análises de Big Data (BDA) desejável para as empresas, como aquelas que obterão uma vantagem competitiva. Dada a disponibilidade de software livre, por que algumas empresas não adotaram essas técnicas? Para responder a essa pergunta, estendemos a teoria unificada de adoção e uso de tecnologia (UTAUT) adaptado para o contexto do BDA, adicionando duas variáveis: resistência ao uso e risco percebido. Usamos a nível da implementação da tecnologia para dividir as empresas em usuários e não usuários de técnicas de BDA. Os modelos estruturais foram avaliados por partial least squares (PLS). Os resultados mostram que a importância de uma boa infraestrutura excede as dificuldades que as empresas enfrentam para implementá-la. Enquanto as empresas que planejam usar Big Data esperam resultados fortes, os usuários atuais são mais céticos em relação ao seu desempenho

Department of Education, Iowa Vocational Rehabilitation Services Performance Plan, FY 2004

Agency Performance Plan, Department of Education, Iowa Vocational Rehabilitation Service

Understanding construction delay analysis and the role of pre-construction programming

Copyright © 2013, American Society of Civil Engineers. This is the author's accepted manuscript. The final published article is available from the link below.Modern construction projects commonly suffer from delay in their completions. The resolution of time and cost claims consequently flowing from such delays continues to remain a difficult undertaking for all project parties. A common approach often relied on by contractors and their employers (or their representatives) to resolve this matter involves applying various delay analysis techniques, which are all based on construction programs originally developed for managing the project. However, evidence from literature suggests that the reliability of these techniques in ensuring successful claims resolution are often undermined by the nature and quality of the underlying program used. As part of a wider research carried out on delay and disruption analysis in practice, this paper reports on an aspect of the study aimed at exploring preconstruction stage programming issues that affect delay claims resolutions. This aspect is based on an in-depth interview with experienced construction planning engineers in the United Kingdom, conducted after an initial large-scale survey on delay and disruption techniques usage. Summary of key findings and conclusions include: (1) most contractors prefer to use linked bar chart format for their baseline programs over conventional critical path method (CPM) networks; (2) baseline programs are developed using planning software packages. Some of these pose difficulties when employed for most delay analysis techniques, except for simpler ones; (3) manpower loading graphs are not commonly developed as part of the main deliverables during preconstruction stage planning. As a result, most programs are not subjected to resource loading and leveling for them to accurately reflect planned resource usage on site. This practice has detrimental effects on the reliability of baseline programs in their use for resolving delay claims; and (4) baseline program development involves many different experts within construction organizations as expected, but with very little involvement of the employer or its representative. Active client involvement is however quite important as it would facilitate quick program approval/acceptance before construction, a necessary requirement for early delay claims settlement, which otherwise are often left unresolved long after the delaying events with the potential of generating into expensive disputes. The study results provide a better understanding of the key issues that need attention if improvements are to be made in delay claim resolutions. Additional research focusing on the testing of these results using a much larger sample and rigorous statistical analysis for generalization purposes would be helpful in advancing the limited knowledge of this subject matter