Online Engagement and the Role of Digital Influencers in Product Endorsement on Instagram

Abstract

The article aims to analyze the forms of engagement generated from the endorsement of products by digital influencers on Instagram, considering the characteristics of their online posts. A qualitative approach was used to investigate digital influencers’ posts based on semiotic image analysis and the critical incidents technique. The results reinforced that digital platforms enable distinct forms of engagement by establishing new configurations that affect relationship marketing and promotion strategies. In particular, on Instagram, the development of engagement can involve four participants who play different social roles, expanding the process of value co-creation.     

Who Counts in Crises? The New Geopolitics of International Migration and Refugee Governance

Recent migration ‘crises’ raise important geopolitical questions. Who is ‘the migrant’ that contemporary politics are fixated on? How are answers to ‘who counts as a migrant’ changing? Who gets to do that counting, and under what circumstances? This forum responds to, as well as questions, the current saliency of migration by examining how categories of migration hold geopolitical significance—not only in how they are constructed and by whom, but also in how they are challenged and subverted. Furthermore, by examining how the very concepts of ‘migrant’ and ‘refugee’ are used in different contexts, and for a variety of purposes, it opens up critical questions about mobility, citizenship and the nation state. Collectively, these contributions aim to demonstrate how problematising migration and its categorisation can be a tool of enquiry into other phenomena and processes.     

Who is going to save the Brazilian Amazon forest? Reflections on deforestation,wildlife eviction,and stewardship behavior

The Brazilian Amazon deforestation is the context for this article, approached as a crime against humanity and wildlife. Recently, Amazon forest fires have also worried most of the economically developed nations, generating criticism and demanding that the Brazilian Government be more active in preventing fires and deforestation. It is necessary to guarantee the wellbeing and health of millions of animal species that live in this habitat, avoiding their extinctions and encouraging the preservation of the forest and its inhabitants. Agribusiness, together with illegal timber trade, are blamed for most of the deforestation. In this paper, we present and discuss Brazilian Amazon deforestation data, addressing the role of agribusiness as dependent on good environmental governance. We argue how stewardship behavior needs to become a path to stop deforestation and wildlife eviction and we reflect on what marketers in Brazil and the world can do to better protect the Amazon rainforest. We conclude that the Government, companies, and society must be coresponsible for the protection of the Amazon rainforest through conservation transparency, dialogue, environmental awareness, and sustainability in production and consumption practices.     

National culture and (dis)trust in banks: Cross-country evidence

We examine to what extent a specific aspect of national culture—uncertainty avoidance—can explain cross-country variations in (dis)trust in banks. Relying on data from the World Values Survey, we find that trust in banks is lower in countries that score high for Hofstede's uncertainty avoidance index. Similarly, with Global Findex data, we find that financial exclusion due to a lack of trust in banks is high in high uncertainty avoidance cultures. These results highlight the need for a more culturally aware approach when designing consumer protection measures for the banking sector.     

Built environment analysis for road traffic hotspot locations in Moshi,Tanzania

Road traffic injuries (RTIs) cause significant morbidity and mortality in low- and middle-income countries. Investigation of high risk areas for RTIs is needed to guide improvements. This study provides built environmental analysis of road traffic crash hotspots within Moshi, Tanzania. Spatial analysis of police data identified 36 hotspots. Qualitative comparative analysis revealed 40% of crash sites were on local roads without night lighting and increased motorcycle density. Paved narrow roads represented 26% of hotspots and 13% were unpaved roads with uneven roadsides. Roadside unevenness was more predominate in low risk [n = 19, (90.5%)] than high risk sites [n = 7 (46.7%)]. Both low [n = 6 (28.6%)] and high risk [n = 1 (6.7%)] sites had minimal signage. All sites had informal pedestrian pathways. Little variability between risk sites suggests hazardous conditions are widespread. Findings suggest improvement in municipal infrastructure, signage and enforcement is needed to reduce RTI burden.     

The option to quit: The effect of employee stock options on turnover

We show that in the years following a large broad-based employee stock option (BBSO) grant, employee turnover falls at the granting firm. We find evidence consistent with a causal relation by exploiting unexpected changes in the value of unvested options. A large fraction of the reduction in turnover appears to be temporary with turnover increasing in the third year following the year of the adoption of the BBSO plan. The increase three years post-grant is equal in magnitude to the cumulative decrease in turnover over the three prior years, suggesting that long-vesting BBSO plans delay, instead of prevent, turnover.     

CFO role and CFO compensation: An empirical analysis of their implications

Given concerns over CFO pay, especially incentives, and considering the tension between a CFO’s fiduciary responsibility and being a key member of the firm’s executive team, we examine the determinants and effects of CFO compensation amount, incentive intensity, and proximity to CEO compensation in a sample of European companies (FTE 500, 2005–2009). First, we focus on the CFO role as a determinant of CFO compensation. Like prior work, we proxy for CFO roles by using hand-collected public data on education and past professional experience, but we supplement these proxies with proprietary data to more directly capture the firm-specific nature of the CFO job in term of its similarity with that of the CEO. We thus argue how CFOs can have varied roles characterized by different levels of financial expertise and CEO-likeness, and document that it is this latter aspect that is associated with CFO compensation. Second, we study the effects of CFO compensation design on outcomes in the CFO’s realm related to financial reporting. We find that CFO financial expertise is positively associated with financial reporting quality, while a CFO’s pay long-term incentive intensity and a CFO’s incentive compensation proximity with the CEO are negatively associated with financial reporting quality. Overall, then, our results suggest that CFOs get rewarded for their CEO-likeness, and particularly for their being similar to the CEO in terms of tasks and decision making authority. But it is their financial expertise that is positively related to financial reporting quality. At the same time, using compensation that is more incentive intensive and more similar to that of the CEO appears to be potentially detrimental to the quality of financial reporting. These results are relevant for boards involved in selecting highly expert CFOs, and their compensation committees charged with defining subsequently effective incentive compensation plans for those CFOs.     

MGARCH models: Trade-off between feasibility and flexibility

Multivariate GARCH (MGARCH) models need to be restricted so that their estimation is feasible in large systems and so that the covariance stationarity and positive definiteness of conditional covariance matrices are guaranteed. This paper analyzes the limitations of some of the popular restricted parametric MGARCH models that are often used to represent the dynamics observed in real systems of financial returns. These limitations are illustrated using simulated data generated by general VECH models of different dimensions in which volatilities and correlations are interrelated. We show that the restrictions imposed by the BEKK model are very unrealistic, generating potentially misleading forecasts of conditional correlations. On the other hand, models based on the DCC specification provide appropriate forecasts. Alternative estimators of the parameters are important in order to simplify the computations, and do not have implications for the estimates of conditional correlations. The implications of the restrictions imposed by the different specifications of MGARCH models considered are illustrated by forecasting the volatilities and correlations of a five-dimensional system of exchange rate returns.     

A green Lewis development model

This paper develops an environmental extension of a Lewis dual economy model, in which the interaction between environmental quality and economic growth, in one of its several dimensions, is explicitly modeled to explore long-run effects of a pollution abatement rule in developing economies. The government requires the modern sector to dedicate a fraction of its output to pollution abatement, with such profitability-reducing fraction being endogenous to the level of environmental quality. Meanwhile, the level of environmental quality positively affects labor productivity, profits and, therefore, savings, which has a positive impact on capital accumulation. It is shown that this pollution abatement requirement, by affecting profitability in the modern sector both negatively and positively, makes for the emergence of an ecological development trap from which a developing dual economy, if left to the free play of its structural forces, never escapes. Fortunately, however, this economy can be released from such a trap not only through a standard Big Push, in the spirit of Rosenstein-Rodan, but also by means of what we call an Environmental Big Push.