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Theoretical foundations of equity based foreign market entry decisions: a review of the literature and recommendations for future research
This paper reviews the theoretical foundations of the equity based foreign market entry (FME) decisions
literature. We analyse 1055 academic FME papers published over four decades (1970â2013). We identify and analyse the theories that informed and guided FME research over time. Our review indicates that scholars have recently started to challenge some of the core assumptions of established theories, draw on and integrate insights from multiple theoretical perspectives which, in turn, generated a multiplicity of approaches for studying FME decisions and their performance outcomes. The paper discusses the
explanatory power of the different theories, assesses the relevance of the different theoretical perspectives to our understanding of current FME phenomena and recommends directions for further research
Science and technology partnerships and poverty alleviation in Africa
The question of how to build science and technology (S&T) capacity in Africa has been on and off the agenda for decades, as has the issue of how to use partnerships to accelerate capacity building. Recent policy proposals have focused on expanding S&T capacity but have emphasized less the need for a rigorous rethink about how science, technology and innovation can be better organized for development. This paper aims to assess, using evidence from recent cases, the importance of new theories and practices based on the role of innovation and knowledge systems. The paper argues that lessons can be learned from transformations in research policy and from practices that better integrate new ideas from innovation, knowledge and development. It focuses on the changes required for science, technology and innovation to be accepted as key for the alleviation of poverty
Evaluation of key performance financial perspectives on institutional facility management
Drivers, Barriers and Social Considerations for AI Adoption in Business and Management: a Tertiary Study
© 2020 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/).The number of academic papers in the area of Artificial Intelligence (AI) and its applications across business and management domains has risen significantly in the last decade, and that rise has been followed by an increase in the number of systematic literature reviews. The aim of this study is to provide an overview of existing systematic reviews in this growing area of research and to synthesise the findings related to drivers, barriers and social implications of the AI adoption in business and management. The methodology used for this tertiary study is based on Kitchenham and Charter's guidelines [14], resulting in a selection of 30 reviews published between 2005 and 2019 which are reporting results of 2021 primary studies. These reviews cover the AI adoption across various business sectors (healthcare, information technology, energy, agriculture, apparel industry, engineering, smart cities, tourism and transport), management and business functions (HR, customer services, supply chain, health and safety, project management, decision-support, systems management and technology adoption). While the drivers for the AI adoption in these areas are mainly economic, the barriers are related to the technical aspects (e.g. availability of data, reusability of models) as well as the social considerations such as, increased dependence on non-humans, job security, lack of knowledge, safety, trust and lack of multiple stakeholders'perspectives. Very few reviews outside of the healthcare management domain consider human, organisational and wider societal factors of the AI adoption. In addition to increased focus on social implications of AI, the reviews are recommending more rigorous evaluation, increased use of hybrid solutions (AI and non-AI) and multidisciplinary approach to AI design and evaluation. Furthermore, this study found that there is a lack of systematic reviews in some of the early AI adoption sectors such as financial industry and retail.Peer reviewe
The internationalization of family businesses: A review of extant research
Among family businesses (FBs) internationalization has become a strategy for growth, and sometimes even for survival. This review article presents an analysis conducted on 25 refereed journal articles on FB internationalization. The articles typically portrayed the internationalization of FBs as a sequential process following the Uppsala model of internationalization; by contrast, some FBs were regarded as âborn-againâ global firms. In methodological terms, most of the articles focused on what-questions rather than why/how-questions. The articles did not make much use of internationalization or FB-specific theories. Our study takes a step towards clarifying the following issues: (i) the current state of knowledge of the phenomenon, (ii) the kinds of background theories applied, and (iii) the methodological approaches utilized. Based on our findings, we map out areas of research that are likely to advance the field of FB internationalization.peerReviewe