Catarina Delgado

Abstract

Abstract
This study examines the association between different types of dependency on resources and/or pressures from the international community and the reporting practices on the fight against corruption of companies in an emerging country setting, that of Turkey. More specifically, we focus on the influence of multinationality, cross-listing, and membership of the United Nations Global Compact on this type of reporting. We use ordinal regression analysis to explore the association between the three factors mentioned above and anti-corruption reporting for a sample of Turkish firms on the Borsa Istanbul 100 index, while controlling for some other factors likely to influence anti-corruption reporting. Findings show a low level of reporting. They also suggest that companies with their shares cross-listed and companies which are members of the Uited Nations Global Compact do present higher levels of anti-corruption reporting than their counterparts. © 2019 Elsevier Ltd

Abstract
Purpose: Based on the data obtained from a questionnaire of 595 people, the authors explore the relative importance of consumers, checking whether socioeconomic variables influence their centrality, detecting the communities within the network to which they belong, identifying consumption patterns and checking whether there is any relationship between co-marketing and consumer choices. Design/methodology/approach: A multilayer network is created from data collected through a consumer survey to identify customers’ choices in seven different markets. The authors focus the analysis on a smaller kinship and cohabitation network and apply the LART network community detection algorithm. To verify the association between consumers’ centrality and variables related to their respective socioeconomic profile, the authors develop an econometric model to measure their impact on consumer’s degree centrality. Findings: Based on 595 responses analysing individual consumers, the authors find out which consumers invest and which variables influence consumers’ centrality. Using a smaller sample of 70 consumers for whom they know kinship and cohabitation relationships, the authors detect communities with the same consumption patterns and verify that this may be an adequate way to establish co-marketing strategies. Originality/value: Network analysis has become a widely used technique in the extraction of knowledge on consumers. This paper’s main (and novel) contribution lies in providing a greater understanding on how multilayer networks represent hidden databases with potential knowledge to be considered in business decisions. Centrality and community detection are crucial measures in network science which enable customers with the highest potential value to be identified in a network. Customers are increasingly seen as multidimensional, considering their preferences in various markets. © 2019, Emerald Publishing Limited.

Abstract

Abstract
Firms are increasingly under pressure to incorporate social sustainability practices into their operations and supply chain management strategies. The purpose of this research is to develop a taxonomy of the supply chain social sustainability (SCSS) practices adopted by firms. The methodology involves two steps. First, the taxonomy is built based on literature review. Second, our empirical analysis, using non-financial (sustainability) reports with a sample of 55 listed companies, identifies standard adoption practices. We used content analysis software to unearth the influential words in the sustainability reports from different industries, sizes, and geographical regions. The content analysis reveals three different themes that provide a snapshot of how Portuguese firms integrate social sustainability into their supply chain and operations. Firms emphasize diverse facets of social sustainability practices in upstream and downstream supply chain based on different industries. The results assume significance and provide unique insights on adoption practices to supply chain practitioners who otherwise have no information on what constitutes supply chain social sustainability in this region.