검색결과

검색조건
좁혀보기
검색필터
결과 내 재검색

간행물

    분야

      발행연도

      -

        검색결과 2

        1.
        2020.10 KCI 등재 SCOPUS 서비스 종료(열람 제한)
        In Vietnam, the airline service sector plays an important economic role. However, it is a complicated industry that is open to failures. Negative emotions are an essential variable for the airline service industry because they can trigger a variety of coping behaviors that affect consumer loyalty as well as the image and reputation of the airline service providers. However, negative emotions and the accompanying coping behaviors are often investigated partially or as separate issues, thus leading to an incomplete understanding. This study is conducted to fill this gap by proposing and testing the causal relationship between negative emotions (anger, frustration, regret) and coping behaviors (complaint, negative word-of-mouth (WOM), and switching intention) in the context of the airline industry. Eight research hypotheses are tested. Using the partial least squares structural equation modeling (PLS-SEM) on a sample of 587 passengers in Vietnam, the empirical results show that anger and frustration influence complaints, negative WOM, and switching intention, while regret leads to switching intention and negative WOM. Thus, the research has important academic and practical implications. The empirical outcome could be of major importance for airline companies in planning to provide new services and achieve high performance in the long run.
        2.
        2019.08 KCI 등재 SCOPUS 서비스 종료(열람 제한)
        The study aims to investigate the determinant factors in the organisation of a firm’s innovative activities, and the impact of innovation capability on firm’s performance of electronic firms in Ho Chi Minh city, Vietnam. How is the performance of electronic companies after delivering an innovation project? How will innovation capability affect firm’s performance in electronic companies? This study aims to seek the answer of these questions. We employ a Structural Equation Model and the PLS technique in order to validate the theoretical model proposed in this study. With observation of 374 valid firms, based on Cronbach’s Alpha analysis, EFA analysis, CFA analysis and SEM analysis, this study discovers 5 groups of factors including: (i) Institution factors; (ii) Attitude of leadership factors; (iii) Marketing factors; (iv) Technological resources factors; (v) Combination factors, which have direct impact on innovation capability of firms. There are 4 groups of factors that have positive impacts on financial performance of electronic firms, with descending order of importance as follows: (1) Attitude of leadership factors; (2) Quality of human resources factors; (3) Innovation capability; (4) Marketing activities factors. Research results are important implications for Government administrative agencies for business to consult and introduce effective support policies.