Gangxiang Xu, Bin Guo, Wen Li and Xiaoting Wang
The purpose of this paper is to use the theoretical perspective of structural inertia as a unique lens to study foreign sequential entry mode choices of multinational firms.
Abstract
Purpose
The purpose of this paper is to use the theoretical perspective of structural inertia as a unique lens to study foreign sequential entry mode choices of multinational firms.
Design/methodology/approach
It adopts quantitative analysis of a sample of 121 Chinese publicly listed firms with 564 foreign entry incidents in the 2001-2012 period to test the hypotheses.
Findings
The empirical results show that multinational firms have a tendency to adopt the same mode in the subsequent entry as the number of prior entry mode choice of a given type (joint venture (JV) in this study) increases. The results support the theoretical prediction that organizations repeat their past activities due to structural inertia. Moreover, such an inertia effect in foreign sequential entry mode choices becomes stronger for older multinational firms, larger multinational firms and state-owned multinational firms.
Research limitations/implications
Consistent with existing research, this study focuses on the entry mode choice between JV and wholly owned subsidiaries. However, it is better to examine the relationship identified in the study for different types of entry mode choices to assess result generalizability.
Practical implications
It reminds managers of multinational firms that they should be cautious to the influence of structural inertia that can be a barrier to strategic flexibility when they make entry mode choices.
Originality/value
The main contribution of this study resides in introducing structural inertia perspective to help understand the determinants of foreign sequential entry mode choices of multinational firms.
Details
Keywords
Wen Li, Bin Guo and Gangxiang Xu
Based on the linkage-leverage-learning (LLL) framework developed by Mathews (2006), the purpose of this paper is to examine how linking, leveraging and learning capabilities…
Abstract
Purpose
Based on the linkage-leverage-learning (LLL) framework developed by Mathews (2006), the purpose of this paper is to examine how linking, leveraging and learning capabilities influence the choice of foreign-entry mode, and the way such influences are contingent on context factors in the emerging markets.
Design/methodology/approach
Contrary to a prior literature applying the LLL framework, which mainly used case studies, this paper adopts a quantitative approach and is based on a sample of 321 Chinese listed companies to test the hypotheses.
Findings
The results show that multinational firms from emerging markets (EMFs) with stronger LLL capabilities are more likely to choose the wholly owned mode in foreign entries. In addition, the relationship between linking capability and wholly owned entry mode choice is weaker at higher levels of cultural distance between home and host country. At the same time, the relationship between learning capability and wholly owned entry mode choice is weaker at higher levels of cultural distance between home and host country, and of institutional distance between prior entries and the focal entry.
Research limitations/implications
An entry mode strategy for firms without ownership advantages and the identification of boundary conditions for applying different LLL capabilities are recommended. The generalizability of the findings from a single-country setting still needs further validation with other emerging economies.
Originality/value
This paper treats internationalization of firms from emerging countries with a different perspective. The underlying idea in this study is that internationalization is not only a process for EMFs to utilize externally accessible assets abroad, but also a process of simultaneously combining internationalization with experiential learning and capability utilization in overseas markets. In addition, the authors also contribute to the literature by providing strong empirical evidence for validating the LLL model and extending the existing entry mode studies.