Triggering technological innovation through cross-border mergers and acquisitions: A micro-foundational perspective
By Michael Christofi, Demetris Vrontis, Alkis Thrassou, S. Shams. Technological forecasting & social change, 2019
132 citations recorded by the source corpus.
Over the past 30 plus years, the development of technological innovation through cross-border mergers and acquisitions (M&As) has captured an increasing amount of attention in business research and practice. The emerging literature on the topic addresses a significant phenomenon, however, it lacks theoretical underpinning and a cumulative empirical inquiry, from a micro-foundational perspective. Hence, a systematic and integrative research effort seems justified. Accordingly, we systematically review and analyze 30 articles published in 16 top-tier peer-reviewed journals from 1985 to 2018. We provide the first comprehensive systematic review of extant literature, include a critical analysis of these research efforts, identify several methodological, contextual and theoretical issues and problems that need to be addressed and offer avenues for future research. The paper concludes with an integrative framework that provides the basis for both theory and practice to further build on and be guided by.
Subfields: Accounting, Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/ec12486de92ea3186c3cb19e29f34be425ec2a36
Citations in the corpus
- A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective (2021, unknown): “We ran a keyword search on titles, abstracts, and keywords, in line with previous practice (Christofi, Vrontis, Thrassou, & Shams, 2019; De Keyser, K ¨ ocher, Alkire, Verbeeck, & Kandampully, 2019; Foss & Saebi, 2017).”
- Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review (2021, unknown): “In line with other state-of-the-art systematic reviews (Christofi et al., 2017; Christofi et al., 2019; Leonidou et al., 2020; Vrontis & Christofi, 2019), we focus on key findings, rather than providing an exhaustive analysis of each article.”