Understanding the Demand-Side Issues of International Corruption
By S. Beets. 2005
141 citations recorded by the source corpus.
Subfields: Information Systems, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/bbd1d49cee8d148eefdb8ce2eafc0fcc2a27c3b0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- C. Gomez
- Callum Stewart
- John M. Luiz
- Jennifer W. Spencer
- Alvaro Cuervo‐Cazurra
- Eduardo Duque‐Grisales
- J. Aguilera‐Caracuel
- Ralitza Nikolaeva
In Sociology and Political Science
- Alvaro Cuervo‐Cazurra
- Callum Stewart
- John M. Luiz
- Luciano Ciravegna
- Luis E. Lopez
- M. Melgarejo
- Jennifer W. Spencer
- C. Gomez
Citations in the corpus
- Environmental, Social and Governance (ESG) Scores and Financial Performance of Multilatinas: Moderating Effects of Geographic International Diversification and Financial Slack (2019, background): “2010), less favourable business climates, a lack of corporate governance (Benites and Polo 2013; PeinadoVara 2006), higher levels of uncertainty, specifically higher corruption levels (Beets 2005; Cuervo-Cazurra 2016) and greater political risks (Henisz 2000).”
- MNEs and corruption: the impact of national institutions and subsidiary strategy (2011, background): “Indeed, since corruption remains the norm rather than the exception around the world today (Beets, 2005), managers often must make a critical strategic choice.”
- Home country uncertainty and the internationalization-performance relationship: Building an uncertainty management capability (2017, background): “Second, we propose that this relationship is strengthened for firms based in emerging countries with higher uncertainty, specifically higher corruption (Beets, 2005; Tanzi, 1998) and political risk (Henisz, 2000).”
- The role of institutional and reputational factors in the voluntary adoption of corporate social responsibility reporting standards (2011, background): “The scores range from 10, indicating high transparency and minimal perceived level of corruption, to 0, indicating low transparency and much perceived corruption ( Beets 2005; Hotchkiss 1998; Transparency International).”
- Corruption, South African Multinational Enterprises and Institutions in Africa (2014, background): “Low Levels of Income (Eight Responses) Relatively levels of income were widely identified by respondents as a contributor to demand-side initiation of corruption—this is in line with the work of Agbiboa (2012) and Beets (2005).”