• 디지털융복합연구
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• 제19권1호
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• pp.151-165
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• 2021

본 연구는 중국 충칭지역의 호텔 구성원들을 대상으로 관리자의 리더십이 조직 혁신 행동에 미치는 영향을 연구하는데 그 목적이 있다. 이를 위해 중국의 현지호텔 244명을 대상으로 설문조사를 실시하여 SPSS 23.0을 통해 변혁적 · 거래적 리더십과 심리적 임파워먼트, 조직 혁신 행동의 구조적 관계를 규명하였다. 결과를 요약하면 첫째, 변혁적 · 거래적 리더십은 조직 혁신 행동에 정(+)에 영향을 미치는 것으로 나타났다. 둘째, 변혁적 · 거래적 리더십은 심리적 임파워먼트에 유의한 영향을 미치는 것으로 나타났으며, 셋째, 심리적 임파워먼트는 조직 혁신 행동에 긍정적인 영향을 미치는 것으로 확인되었다. 마지막으로 심리적 임파워먼트는 변혁적 · 거래적 리더십과 조직혁신 행동 간의 부분적으로 매개역할을 하는 것으로 분석되었다. 결과에 따르면 관리자들이 변혁적 · 거래적 리더십의 적극적인 실천으로 조직의 혁신을 이루는데 기여할 수 있는 것으로 확인되었다. 향후 연구에서는 리더십 유형을 확대한 연구가 필요할 것으로 보인다.

• 한국식생활문화학회지
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• 제21권3호
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• pp.270-279
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• 2006

This study was designed to : (a) analyze the menus of the French restaurant in tourism hotel using the menu analysis techniques of Kasavana & Smith and Pavesic, (b) compare the characteristics of the two analysis techniques. The calculations for the menu analysis were done using the MS 2000 Excel spreadsheet program. The menu mix % and unit contribution margin were used as variables by Kasavana & Smith and weighted contribution margins (WCM) and potential food cost % (PFC%) by Pavesic. In two cases, a four-cell matrix was created and menu items were located in each according they achieved high or low scores with respect to two variables. The items that scored favorably on both variables were rated in the top category (e.g., star, prime) and those that scored below average on both were rated in the lowest category (e.g., dog, problem). While Kasavana & Smith's method focused on customer's viewpoints, Pavesic's method considered the manager's viewpoints. Therefore, it is more likely to be desirable for decision-making on menus if the menu analysis techniques chosen is suited to its purpose.

• The Journal of Asian Finance, Economics and Business
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• 제10권2호
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• pp.109-121
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• 2023

This study aims to address the literature gap by examining the direct relationship between big data analytics capability, marketing innovation, and organizational innovations. Additionally, this study would examine big data analytics capability as the antecedent for both innovation types and how these relationships influence firm performance. The research model is developed based on the integration of resource-based view and knowledge-based view theories. The quantitative method is used as the research methodology for this study. Based on a purposive sampling method, a total of 115 questionnaires were obtained from managers in star-rated hotels located in Malaysia. Partial least square structural equation modeling (PLS-SEM) is utilized for the data analysis. The result shows that big data analytics capability positively affects marketing and organizational innovations. The findings show that big data analytics capability and organizational innovation positively influence firm performance. Nonetheless, the result revealed that marketing innovation is not positively related to firm performance. The findings also indicate to hotel managers the importance of big data analytic capability and the resources required to build and develop this capability. The contributions from this study enrich the literature on big data and innovation, which is particularly limited in the hospitality and tourism context.