Rushiun Liou, Kevin Lee and Scott Miller
Emerging-market multinational companies (EMNCs) utilize cross-border merger and acquisitions (M&As) to acquire strategic assets that compensate for their resource deficiencies…
Abstract
Purpose
Emerging-market multinational companies (EMNCs) utilize cross-border merger and acquisitions (M&As) to acquire strategic assets that compensate for their resource deficiencies. Therefore, developed markets have become important destinations for EMNCs. Institutional distance constitutes a major source of competitive disadvantage for foreign firms competing with indigenous firms. The purpose of this paper is to examine the ownership pattern of cross-border M&As in the USA, and determine if EMNCs respond to institutional distance differently than advanced-market multinational companies (AMNCs).
Design/methodology/approach
Based on the extant literature in institutional theory as well as internationalization strategy, a quantitative study was carried out. Hypotheses were proposed and tested using fixed effects panel regressions.
Findings
This paper finds that both AMNCs and EMNCs take smaller ownership positions when there is greater cognitive and normative distance. The negative association is stronger for AMNCs than for EMNCs. Further, the larger the regulative distance in the positive direction, meaning a higher level of development in the host market than in the home market, the more AMNCs and EMNCs are led to opt for a higher ownership position, with EMNCs being less influenced by regulative distance.
Research limitations/implications
Though findings are robust and stable, this study is limited to observations that only have US target firms.
Originality/value
By integrating the literature from institutional theory and strategy, this paper offers a clearer understanding and distinction of the acquisition decisions made by EMNCs and AMNCs.
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Chrystalleni Aristidou, Kevin Lee and Kalvinder Shields
A novel approach to modeling exchange rates is presented based on a set of models distinguished by the drivers of the rate and regime duration. The models are combined into a…
Abstract
A novel approach to modeling exchange rates is presented based on a set of models distinguished by the drivers of the rate and regime duration. The models are combined into a “meta model” using model averaging and non-nested hypothesis-testing techniques. The meta model accommodates periods of stability and slowly evolving or abruptly changing regimes involving multiple drivers. Estimated meta models for five exchange rates provide a compelling characterization of their determination over the last 40 years or so, identifying “phases” during which the influences from policy and financial market responses to news succumb to equilibrating macroeconomic pressures and vice versa.
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Lee Danisch, Kevin Englehart and Andrew Trivett
This paper describes SHAPE TAPE™, a thin array of fiber optic curvature sensors laminated on a ribbon substrate, arranged to sense bend and twist. The resulting signals are used…
Abstract
This paper describes SHAPE TAPE™, a thin array of fiber optic curvature sensors laminated on a ribbon substrate, arranged to sense bend and twist. The resulting signals are used to build a three dimensional computer model containing six degree of freedom position and orientation information for any location along the ribbon. The tape can be used to derive dynamic or static shape information from objects to which it is attached or scanned over. This is particularly useful where attachment is only partial, since shape tape “knows where it is” relative to a starting location. Measurements can be performed where cameras cannot see, without the use of magnetic fields. Applications include simulation, film animation, computer aided design, robotics, biomechanics, and crash testing.
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Leslie P. Willcocks, Will Venters and Edgar A. Whitley
Although cloud computing has been heralded as driving the innovation agenda, there is growing evidence that cloud computing is actually a “slow train coming”. The purpose of this…
Abstract
Purpose
Although cloud computing has been heralded as driving the innovation agenda, there is growing evidence that cloud computing is actually a “slow train coming”. The purpose of this paper is to seek to understand the factors that drive and inhibit the adoption of cloud computing, particularly in relation to its use for innovative practices.
Design/methodology/approach
The paper draws on a composite research base including two detailed surveys and interviews with 56 participants in the cloud supply chain undertaken between 2010 and 2013. The insights from this data are presented in relation to set of antecedents to innovation and a cloud sourcing model of collaborative innovation.
Findings
The paper finds that while some features of cloud computing will hasten the adoption of cloud, and its use for innovative purposes by the enterprise, there are also clear challenges that need to be addressed before cloud can be adopted successfully. Interestingly, the analysis highlights that many of these challenges arise from the technological nature of cloud computing itself.
Research limitations/implications
The research highlights a series of factors that need to be better understood for the maximum benefit from cloud computing to be achieved. Further research is needed to assess the best responses to these challenges.
Practical implications
The research suggests that enterprises need to undertake a number of steps for the full benefits of cloud computing to be achieved. It suggests that collaborative innovation is not necessarily an immediate consequence of adopting cloud computing.
Originality/value
The paper draws on an extensive research base to provide empirically informed analysis of the complexities of adopting cloud computing for innovation.
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In mid-2013, the Lee family, which owned the Hong Kong based food and health product giant Lee Kum Kee (LKK), struggled with how best to increase involvement of the fifth…
Abstract
In mid-2013, the Lee family, which owned the Hong Kong based food and health product giant Lee Kum Kee (LKK), struggled with how best to increase involvement of the fifth generation (G5), the children of the company's current fourth-generation (G4) senior executives and governance leaders. Only two of the fourteen G5 members had joined the company, and few had expressed interest in further involvement, including in the multiple learning and development programs the business offered, such as a mentoring program. Many of the G5 cousins had expressed little interest in business careers in general, and none of them currently was serving as an LKK intern. G4 members observed that their children were busy with family obligations, hobbies, and emerging careers outside the business. G5's lack of interest in business and governance roles was part of a growing pattern of low family engagement in general, exhibited by the cancellation of recent family retreats (once an annual tradition) because of apathy and some underlying conflict. A history of splits among past generations of the Lee family regarding business leadership made the engagement issue even more meaningful and critical.
Students will consider the challenge from the point of view of G4 family members David Lee, chairman of the family's Family Office, and his sister, Elizabeth Mok, who ran the Family Learning and Development Center. They and their three siblings saw engaging the next generation as a top priority, one related to key concepts including family-business continuity, generational engagement and empowerment, succession, emotional ownership, and intrinsic/extrinsic motivation.
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