Forthcoming and Online First Articles

Journal for International Business and Entrepreneurship Development

Journal for International Business and Entrepreneurship Development (JIBED)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

J. for International Business and Entrepreneurship Development (3 papers in press)

Regular Issues

  • Understanding the National Innovation System: a bibliometric analysis approach   Order a copy of this article
    by Shiwangi Singh, Sanjay Dhir, Viput Ongsakul 
    Abstract: This paper aims to understand the evolution and different perspective of the National Innovation System (NIS) studies. The extant literature on the quantitative development of the is scant. Therefore, it becomes necessary to encapsulate the periodical trends and development of the national innovation system. Bibliometric analysis can be used to analyse divergent views and trace the evolution of topic. This study provides a comprehensive overview of NIS studies using the Scopus database for 31 years from 1990 to 2021 in the 'Business, Management, and Accounting' area for 736 articles. This study identifies the most studied keywords and keyword co-occurrences, which further helped to group them into four clusters, namely antecedents, industry, region, and output/impact. It is suggested that once in a decade, the analysis could be performed to trace their development and impact. The result of this study will help in the advancement of the field.
    Keywords: National Innovation System; bibliometric analysis; innovation clusters; global knowledge; antecedents; output.
    DOI: 10.1504/JIBED.2022.10058162
     
  • How does family firm heterogeneity affect CEO compensation   Order a copy of this article
    by Paulo Neto, Antonio Cerqueira, Elísio Brandão 
    Abstract: This study aimed to understand how CEO compensation in family firms is influenced by their heterogeneity dimensions. Using a sample of companies listed in the S&P 500 index, between 2007 and 2016, the results of this study show that CEO compensation is higher when the family representation is multiple and when the CEO is professional. In addition, it is shown that the compensation of professional CEOs is less sensitive to the number of family representatives on the board and that family firms are more effective in keeping CEO compensation under control than non-family firms. The findings of this study contribute to the literature on the governance of family firms by identifying the features that make them more effective in terms of CEO compensation.
    Keywords: family firms; heterogeneity dimensions; generational stage; family representation; family CEO; professional CEO; CEO compensation; agency theory; stewardship theory; corporate governance.
    DOI: 10.1504/JIBED.2024.10064410
     
  • Comparative analysis of conventional and artificial intelligence forecasting models for international tourist arrivals in three metropolitan hubs   Order a copy of this article
    by Mohammed Al Shehhi, Andreas Karathanasopolous, Mohamed Osman, Ibrahim Tabche 
    Abstract: This study attempts to forecast the arrivals of international tourists to three major cities, New York, Singapore and Dubai, based on data procured before the Covid-19 pandemic was declared. We apply four distinct forecasting models: two conventional linear models, namely exponential smoothing and SARIMA, and two advanced non-linear models, specifically the Prophet with Fourier transformation and LSTM using deep learning techniques. We used monthly arrival data spanning from January 2001 to December 2017. Our findings reveal the superior forecasting performance of LSTM neural networks over dynamic regression with Fourier, resulting in a substantial reduction in error rates ranging from 20% to 60%. Notably, SARIMA outperformed conventional models in certain assessments. Despite their accuracy, these models retain generalisability, which is also a significant advance for practitioners such as policymakers and decision makers. This enhanced forecasting capability empowers decision-makers to plan infrastructure and human resource requirements with increased confidence in future endeavours.
    Keywords: forecasting tourism arrivals; SARIMA; Holt-Winters TES; dynamic harmonic regression; DHR; long short-term memory; LSTM deep learning; machine learning; ML.
    DOI: 10.1504/JIBED.2024.10064927
     

 

Return to top