Culture effect on knowledge management adoption in Nigerian hospitality industry
Autor: | Abel Usoro, Bridget Abiagam |
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Rok vydání: | 2018 |
Předmět: |
Closed-ended question
Knowledge management Operationalization Computer Networks and Communications business.industry 05 social sciences Developing country Library and Information Sciences Hospitality industry Computer Science Applications Likert scale Hospitality Management of Technology and Innovation 0502 economics and business 050211 marketing Hofstede's cultural dimensions theory Technology acceptance model Business 050203 business & management Information Systems |
Zdroj: | VINE Journal of Information and Knowledge Management Systems. 48:314-332 |
ISSN: | 2059-5891 |
DOI: | 10.1108/vjikms-11-2017-0080 |
Popis: | Purpose The effect of culture on various aspects of life, business and disciplines such as knowledge management (KM) has been much studied. Hospitality has also received much attention because it, among others, can produce and redistribute wealth whether in developed or developing economies, who often find it as an invaluable means of generating foreign income. Nonetheless, there is no combination of the three areas in a single study done in a developing economy. The paper aims to fill this gap by investigating the impact of culture on the adoption of KM in the hospitality industry of Nigeria. Design/methodology/approach Hofstede’s culture model and technology acceptance model were used as underpinning theories to develop a research model which was operationalised into a 45-item questionnaire. A five-point Likert scale that ranged from strongly disagree to strongly agree was used. The questions were closed-ended for the variables of the model, but there were also open-ended questions. Two Nigerian cities were purposely sampled and they generated 195 responses from the 400 questionnaires that were distributed. Correlation analysis was first done to establish relationships before regression analysis was performed after checking for multicollinearity. Findings and conclusions were drawn from significant hypotheses. Findings The findings showed significant collectivism, uncertainty avoidance, masculinity, femininity and short- and long-term orientations as factors that would affect adoption of KM in the hospitality industry of Nigeria. Power distance and individualism as factors, on the other hand, were not significant. Research limitations/implications The research has produced a model that can form the basis for future research. The study apparently is the first and therefore needs replication in other industries and other developing economies. A comparative study can be done too between developing countries or between a developing and a developed country. Many replicated studies could perhaps produce a generic model that would apply beyond Nigeria. Moreover, as this study is on a moving target both in terms of culture and the extent of KM adoption, subsequent studies could update the findings of this study. Practical implications Hospitality managers have to develop and maintain a conducive culture if adoption of KM is to be achieved. Managers should be sensitive to and take good advantage of cultural differences displayed in the personality traits of employees. For example, uncertainty avoidance (preference for precision) could be an asset to make knowledge explicit in computer systems, making it easier to share such knowledge in the organisation. Collectivism and nurturing orientation would encourage knowledge sharing and collaborative work, which is often nowadays done virtually. Managers should encourage knowledge workers to seek and acquire both short- and long-term views of their work. Originality/value There apparently is no systematic empirical study that combines KM, hospitality and culture in developing economies’ context. Thus, this study examines the effects of culture on KM adoption in the Nigerian hospitality industry. The findings have practical implications on how the Nigerian hospitality industry can benefit from the application of KM. |
Databáze: | OpenAIRE |
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