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Open Access
Article
Publication date: 17 November 2020

Ilan Alon, Indri Dwi Apriliyanti and Massiel Carolina Henríquez Parodi

This paper aims to provide a bibliometric meta-analysis of the already substantial and growing literature on international franchising. Franchising is a model for businesses to…

29967

Abstract

Purpose

This paper aims to provide a bibliometric meta-analysis of the already substantial and growing literature on international franchising. Franchising is a model for businesses to achieve scale with limited resources. International franchising is a mode of entry that allows firms to develop new markets with relatively little risk but also little control.

Design/methodology/approach

Using a systematic approach, the paper identifies all articles in the ISI Web of Science from 1970 to 2018 that includes the term international franchising (in the title, the abstract or keywords) and finds 131 articles. This paper used HistCite software to analyze the bibliometric data.

Findings

Four major research clusters in the international franchising literature are identified. In addition, this study shows a change in research patterns regarding topics, theories and methodologies from the 1970s through 2018. The paper presents the most influential articles, authors and journals.

Originality/value

From the analyzes, this study develops a conceptual framework of international franchising and suggest avenues for future research.

Details

Multinational Business Review, vol. 29 no. 1
Type: Research Article
ISSN: 1525-383X

Keywords

Open Access
Article
Publication date: 31 March 2022

Ilan Alon, Vanessa P.G. Bretas, Alex Sclip and Andrea Paltrinieri

This study aims to propose a comprehensive greenfield foreign direct investment (FDI) attractiveness index using exploratory factor analysis and automated machine learning (AML)…

2974

Abstract

Purpose

This study aims to propose a comprehensive greenfield foreign direct investment (FDI) attractiveness index using exploratory factor analysis and automated machine learning (AML). We offer offer a robust empirical measurement of location-choice factors identified in the FDI literature through a novel method and provide a tool for assessing the countries' investment potential.

Design/methodology/approach

Based on five conceptual key sub-domains of FDI, We collected quantitative indicators in several databases with annual data ranging from 2006 to 2019. This study first run a factor analysis to identify the most important features. It then uses AML to assess the relative importance of each resultant factor and generate a calibrated index. AML computational algorithms minimize predictive errors, explore patterns in the data and make predictions in an empirically robust way.

Findings

Openness conditions and economic growth are the most relevant factors to attract FDI identified in the study. Luxembourg, Hong Kong, Singapore, Malta and Ireland are the top five countries with the highest overall greenfield attractiveness index. This study also presents specific indices for the three sectors: energy, financial services, information and communication technology (ICT) and electronics.

Originality/value

Existent indexes present deficiencies in conceptualization and measurement, lacking theoretical foundation, arbitrary selection of factors and use of limited linear models. This study’s index is developed in a robust three-stage process. The use of AML configures an advantage compared to traditional linear and additive models, as it selects the best model considering the predictive capacity of many models simultaneously.

Details

Competitiveness Review: An International Business Journal , vol. 32 no. 7
Type: Research Article
ISSN: 1059-5422

Keywords

Open Access
Article
Publication date: 25 August 2022

Ashish Kumar, Shikha Sharma, Ritu Vashistha, Vikas Srivastava, Mosab I. Tabash, Ziaul Haque Munim and Andrea Paltrinieri

International Journal of Emerging Markets (IJoEM) is a leading journal that publishes high-quality research focused on emerging markets. In 2020, IJoEM celebrated its fifteenth…

3399

Abstract

Purpose

International Journal of Emerging Markets (IJoEM) is a leading journal that publishes high-quality research focused on emerging markets. In 2020, IJoEM celebrated its fifteenth anniversary, and the objective of this paper is to conduct a retrospective analysis to commensurate IJoEM's milestone.

Design/methodology/approach

Data used in this study were extracted using the Scopus database. Bibliometric analysis, using several indicators, is adopted to reveal the major trends and themes of a journal. Mapping of bibliographic data is carried using VOSviewer.

Findings

Study findings indicate that IJoEM has been growing for publications and citations since its inception. Four significant research directions emerged, i.e. consumer behaviour, financial markets, financial institutions and corporate governance and strategic dimensions based on cluster analysis of IJoEM's publications. The identified future research directions are focused on emergent investments opportunities, trends in behavioural finance, emerging role technology-financial companies, changing trends in corporate governance and the rising importance of strategic management in emerging markets.

Originality/value

To the best of the authors' knowledge, this is the first study to conduct a comprehensive bibliometric analysis of IJoEM. The study presents the key themes and trends emerging from a leading journal considered a high-quality research journal for research on emerging markets by academicians, scholars and practitioners.

Details

International Journal of Emerging Markets, vol. 19 no. 4
Type: Research Article
ISSN: 1746-8809

Keywords

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