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This paper aims to identify religiosity scale usage in academic marketing articles and compare the effectiveness of different religiosity scales in predicting marketing and consumer behavior outcomes.

Articles (n = 397) in the top 20 marketing journals are reviewed and a follow-up study is conducted that compares 22 religiosity scales in predicting 18 marketing variables.

Most scales are from preexisting sources (64.3%), only 20% are multi-dimensional and over 58% are used in only one journal article. Only 22.5% of possible regressions in the follow-up study predicting marketing variables from religiosity scales were significant.

This research is limited by the journals and dependent variables chosen. Implications include diversify research topics, expand publication outlets, decrease use of author-generated scales, increase use of multi-item and multi-dimensional measures, replicate findings methodologically and conceptually and make cultural context adaptations.

Marketers would benefit from using preexisting scales, ensuring that religiosity is measured using a multi-item measure that contains appropriate items for the dominant religious beliefs of the sample, as well as consider multi-dimensional measures to best guide marketing strategy decisions, such as target market definition.

This is the first research study to compare the use of religiosity scales in marketing. This offers key value to the marketing literature by highlighting tactics to take to improve consistency in research practices to increase the comparability and accuracy of findings.

The purpose of this study is to discuss the significance of “contextual factors” on the talent development of underserved populations. Understanding the “context” and background of an individual provides greater insight into their life experiences (Paik, 2013). Race, class and gender, in particular, play a role in one’s life, providing both barriers and opportunities.

To examine contextual and other factors, in-depth biographical case studies were systematically studied across 10 diverse notable artists and scientists. Over 85 autobiographies, biographies and other sources were carefully content-analyzed for commonalities and differences in artists’ and scientists’ lives.

Because of their ascribed statuses (e.g. race, class, gender), these individuals had to navigate their unique school and life circumstances. Within their sociocultural contexts, however, key relationships (e.g. parents, teachers, mentors and peers) helped mitigate the challenges. All artists and scientists had a “village” – key stakeholders who invested in them at every stage of their talent development.

Parents, teachers, mentors and peers are not only critical, but they are lifelines for talent development. Key implications discuss the role of contextual factors and support networks for aspiring diverse artists and scientists.

The theoretical framework for this study is based on the productive giftedness model (PGM) (Paik, 2013, 2015). PGM includes 10 key psychosocial and environmental factors and how they influence “productive giftedness” (e.g. achievements, accomplishments, leadership). Within the model, both “alterable” and “contextual factors” provide access to different opportunities, support and resources. The model is considered generalizable and applicable for diverse populations.

The current study aims to achieve two targets. First, examine empirically that whether corporate managers use tax avoidance to influence short-term profitability? Second, investigate the impact of tax avoidance on the value of firms. The tax accounts provide the opportunity to influence temporary/permanent profitability but empirical studies overlooking this matter, particularly in emerging economies.

First, the authors identified unexpected fluctuations of tax avoidance and then examine whether it impacts the profitability signal and firms' value? The unbalanced panel data of 189 non-financial firms for the period 2000–2018 are used for empirical analysis. The estimation biases and results consistency are verified by using two different econometric models including generalized least square and two-stage least square

The study identifies that managers manipulate the profitability signal through tax avoidance. Tax avoidance practices help in earning management and earning smoothing to avoid negative signals in the stock market. In line with the behavioral finance view, tax avoidance has a positive impact on current stock returns because investors focus on profitability without a detailed screening of cash flows.

A limited number of studies investigate the use of tax avoidance for manipulation of the short-term earning signal. Identifying gaps and limitations in the literature, this study provides invaluable insights into tax avoidance and its association with the profitability and value of firms. The findings are important for investors, managers and policymakers in making portfolio decisions and corporate policies.