Consumer ethics: A review and research agenda

Consumer ethics continues to draw the attention of academicians and practitioners as a significant economic and social issue globally. Consumer ethics refers to moral principles that govern a consumer's behaviour. This literature review seeks to enrich the discourse on consumer ethics through a comprehensive and detailed review of 106 articles, covering 21 journals from 2010 to 2020. Through an examination of theories, contexts, characteristics, and methodologies used in consumer ethics research, our review (1) presents a comprehensive and up-to-date overview of the research in this field and (2) sets a future research agenda to spur scholarly research. We found studies have primarily relied on a single theoretical lens such as the theory of marketing ethics, planned behaviour, and neutralization theory. Further consumer ethics research focuses on advanced countries, with a narrow focus on developing countries. We have diagnosed the need to examine boundary conditions impacting consumer ethics. Finally, we provide actionable inputs to combat unethical consumer actions as well as promote ethical consumption.     

Cultural influences on future transportation technology usage: The role of personal innovativeness,technology anxiety and desire

This study develops and validates a model, based on personal cultural values theory and psychological research, in relation to technology adoption. The model focuses specifically on the future use of on-demand air mobility (ODAM), which is expected to have significant implications for city commuting and personal well-being in the years ahead. We use a path modelling approach, in addition to recently advanced analytical methods such as the finite mixture partial least squares (FIMIX-PLS), measurement invariance of composite models (MICOM) and multi-group analysis, to validate the model using a data set of 627 young consumers from the Czech Republic. The research model explains 45.2% variation in the future use of ODAM using our global model. This variance explained in the future use of ODAM increases to 62.3% and 64.5% respectively, when we segment our data set into two groups. The results also show that tradition has significant influence on technology anxiety, personal innovativeness and desire to use ODAM. Independence positively affects personal innovativeness but not the desire to use ODAM. We also find that technology anxiety influences the desire to use, which in turn influences the future use of ODAM. However, we find group differences in the influence of ambiguity intolerance on technology anxiety, desire and personal innovativeness. Thus, the study also evaluates the existence of significant differences between two groups in our data set. Overall, the study suggests that individual cultural values play a particularly important role in influencing the future use of ODAM through psychological characteristics. The research implications of the study are discussed in the article.     

The role of social networks in the adoption of competing new technologies in Ghana

We use a detailed dataset to examine the impact of social networks, conditional on contextual and individual confounders, on farmers' adoption of competing improved soybean varieties in Ghana. Based on the contagion conceptual framework, we employ a spatial autoregressive multinomial probit model to examine how neighbours' varietal and cross-varietal adoption of improved varieties affect a farmer's adoption decision in the social network. Our results show that adoption decisions in a network tend to converge on one variety, such that beyond a threshold of adopting neighbours of that improved variety, the cross-varietal effects tend to lose significance in the network. If the shares of adopting neighbours of the improved varieties are equal, we find evidence that farmers are not more likely to adopt either improved variety compared to farmers with no neighbours who have adopted the improved varieties. The findings demonstrate the significance of neighbourhood effects in the adoption of competing technologies.     

Utilising farm-level panel data to estimate climate change impacts and adaptation potentials

We combine farm accounting data with high-resolution meteorological data, and climate scenarios to estimate climate change impacts and adaptation potentials at the farm level. To do so, we adapt the seminal model of Moore and Lobell (2014) who applied panel data econometrics to data aggregated from the farm to the regional (subnational) level. We discuss and empirically investigate the advantages and challenges of applying such models to farm-level data, including issues of endogeneity of explanatory variables, heterogeneity of farm responses to weather shocks, measurement errors in meteorological variables, and aggregation bias. Empirical investigations into these issues reveal that endogeneity due to measurement errors in temperature and precipitation variables, as well as heterogeneous responses of farms toward climate change may be problematic. Moreover, depending on how data are aggregated, results differ substantially compared to farm-level analysis. Based on data from Austria and two climate scenarios (Effective Measures and High Emission) for 2040, we estimate that the profits of farms will decline, on average, by 4.4% (Effective Measures) and 10% (High Emission). Adaptation options help to considerably ameliorate the adverse situation under both scenarios. Our results reinforce the need for mitigation and adaptation to climate change.     

IRS Private Letter Rulings: Initial Evidence on Determinants and Consequences

This study examines the determinants of firms' requests for Private Letter Rulings (PLRs) from the US Internal Revenue Service (IRS) and their impact on firms' cash holdings. Our results show that PLR requests tend to be made by firms with more active tax planning, more acquisitions, higher analyst following, higher leverage, and less in-house tax expertise. We also show that firms with IRS audit red flags are less likely to request a PLR. We use a difference-in-difference approach to assess changes in cash holdings following PLR requests and report a decrease in cash holdings for PLR firms, consistent with the notion that PLRs act to reduce tax uncertainty. Our study provides the first empirical evidence about the determinants of PLR requests and complements prior work on tax uncertainty and cash holdings (Hanlon, Maydew and Saavedra, 2017).