Purpose Mobile banking (Mbanking) is one of the most widely used mobile technology applications in recent times. This research aims to develop and test a research model by integrating social influence, trust and compatibility along with demographic variables into the original technology acceptance model (TAM) for Mbanking adoption which can be useful for understanding individual behaviours from an international business perspective. Design/methodology/approach Data were collected through a structured survey from 208 Omani Mbanking users and analysed using a two-staged regression and neural network (NN) model. Findings The results showed that perceived ease of use and demographic variables were not statistically significant in the multiple linear regression model, whereas the importance of the aforementioned variables was relatively high in the results obtained from the NN model. Furthermore, other predictors, namely, trust, perceived usefulness, compatibility and social influence included in the proposed research model that were established as significant by the regression model were assigned high relative importance by the NN model as well. Practical implications The study reflects the customer’s opinion from a developing country perspective. In addition, the research makes a significant theoretical contribution by using predictive modelling instead of causal or explanatory modelling for the development of a new and extended TAM model. The findings can be gainfully used by international business to understand Omani customer- and design-appropriate strategies for market penetration. Originality/value This study offers deeper understanding about Mbanking adoption from a developing country perspective and identifies and integrates important variables that influence the adoption in the aforementioned context.

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in CARDIFF BUSINESS SCHOOL WORKING PAPER SERIESThis working paper is produced for discussion purpose only. These working papers are expected to be published in due course, in revised form, and should not be quoted or cited without the author's written permission. Cardiff Economics Working Papers are available online from: http://www.cardiff.ac.uk/carbs/econ/workingpapers Enquiries: EconWP@cardiff.ac.uk

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This study performs the first citation-based systematic literature review of the tourismgrowth nexus. The citation analysis provides a bird's eye view of this literature, which, in turn, identifies the sources of knowledge in terms of most influential journals, authors, and articles. A detailed content analysis of 100 most influential papers has been generated on the nature of the study, variables used, country of analysis, type of analysis, the methodology, and the direction of causality. In total, 284 papers were found relevant in the Scopus database using a comprehensive list of keywords. The citation analysis reveals that Tourism Management is the leading journal with a total of 2527 citation counts, whereas Tourism Economics is the leading journal with a total of 41 publications on this topic. Juan Gabriel Brida is the most prolific author, whereas Lee and Chang (2008) is recognized as the most influential paper. The content analysis reveals that 58% have applied time series, and 38% have used panel data analysis. Tourism causing growth is the leading result of both time-series and panel studies. International tourism receipts/earnings/expenditure and the number of international tourist arrivals are the most widely used variables to measure tourism.