Politics vs economics: unintended consequences of Governments’ interventions in airlines’ markets

Overlaying theories of market inefficiencies and/or failure onto airline economics indicates that the industry encounters at least seven of the indicators which have triggered interventions by national, multi-national or supranational governments (NMSGs) trying to resolve political, social or environmental problems. The NMSGs’ interventions aimed to resolve lack of competition, fill missing markets, and neuter the presence of negative externalities, free riders, social inequalities and moral panic. Desk research showed that their interventions (many lacking preliminary economic analysis) either intentionally solved and/or unintentionally triggered market inefficiencies or failures. It is possible that some of the interventions could eventually make advanced world airlines subsidise their advancing world competitors.

Academics across borders: narratives of linguistic capital, language competence, and communication strategies

This article reports on a study that examined the personal employment paths of six international academics at a British university. To complement previous accounts of difficult migration, it focuses on the successful experiences of such academics, in particular how proficiency in English facilitated their move into employment in higher education (HE), and the linguistic competences and communication strategies they deploy in their daily activities. The article identifies key factors that have facilitated to their academic achievements and contributes to the understanding of the benefits and consequences of skilled migration. In conclusion, it suggests workplace pedagogy and policy responses that could facilitate other international academics' successful experiences in the UK HE sector.

Untangling a Web of Lies: Exploring Automated Detection of Deception in Computer-Mediated Communication

Safeguarding organizations against opportunism and severe deception in computer-mediated communication (CMC) presents a major challenge to CIOs and IT managers. New insights into linguistic cues of deception derive from the speech acts innate to CMC. Applying automated text analysis to archival email exchanges in a CMC system as part of a reward program, we assess the ability of word use (micro-level), message development (macro-level), and intertextual exchange cues (meta-level) to detect severe deception by business partners. We empirically assess the predictive ability of our framework using an ordinal multilevel regression model. Results indicate that deceivers minimize the use of referencing and self-deprecation but include more superfluous descriptions and flattery. Deceitful channel partners also over structure their arguments and rapidly mimic the linguistic style of the account manager across dyadic e-mail exchanges. Thanks to its diagnostic value, the proposed framework can support firms’ decision-making and guide compliance monitoring system development.