NSBE - Documentos de conferências internacionais
URI permanente para esta coleção:
Navegar
Entradas recentes
- A cautionary tale about p < 0.05Publication . Narayanan, Prana; Malik, Sumit; Haenlein, Michael; Franieck, Lucas; NOVA School of Business and Economics (NOVA SBE)We demonstrate that p-values are highly sensitive to the selective exclusion of small samples of data, even when outliers are absent. To highlight this issue, we introduce a simple, context-free robustness metric called the "Significance Fadeaway Score" (SFS). This measure quantifies the extent to which statistical significance (i.e., < 0.05) persists as the most extreme data points are removed iteratively (one-at-a time and without replacement). In a pre-registered study, we evaluate SFS of 52 experimental studies published in leading marketing journals over the past five years. Our results reveal that nearly half of these studies lose statistical significance when less than 5% of the sample is selectively removed. These findings challenge the widespread reliance on dichotomous notions of statistical significance and promote the use of complementary metrics like SFS to enhance the transparency and rigor of experimental method in consumer behavior.
- Efficacy of career & life design interventionsPublication . Oros, Radek; Sim, Samantha; Kernbach, Sebastian; Cunha, Miguel Pina e; NOVA School of Business and Economics (NOVA SBE)Work plays a central role in our lives. However, finding a truly satisfying and fulfilling career can be a challenging life task (Gini, 1998). Career & Life Design (CLD) offers a relatively novel deliberate approach to vocational wayfinding (Savickas et al., 2009). Despite the growing interest in CLD, evidenced by the conceptual and empirical studies in recent years, the field is still young, with very limited comprehensive reviews of its empirical efficacy. Utilising the Systematic Literature Review method (Snyder et al., 2019) using PRISMA guidelines, Scopus and Web of Science databases were analysed to address this existing gap by systematically reviewing the available empirical evidence (both qualitative and quantitative) to evaluate CLD´s effectiveness in fostering adaptive psychological and career outcomes. Out of 86 articles meeting inclusion criteria, CLD emerges as a promising intervention associated with positive psychological and professional outcomes, including heightened reflexivity, improved career self-efficacy and decision-making, as well as greater career satisfaction. Recommendations for future studies include a call for more experimental and longitudinal studies to consolidate our understanding of Life design´s true impact, exploring the relationship between Life Design and well-being outcomes, and investigating its integration with emerging technologies. Additionally, assessment of its potential risks and drawbacks presents valuable avenues for further exploration. Implications of our findings are further discussed.
- Modeling hackathons platform for a token economyPublication . Cardoso, Fábio dos Santos; Vasconcelos, Hélder; Oliveira, João Gama; Zejnilovic, Leid; NOVA School of Business and Economics (NOVA SBE)Hackathons have become a popular tool to connect companies seeking innovations with talented challenge-seeking problem-solvers. An important factor for the success of hackathons is the effective system for distributing rewards and value and incentivizing participation. In pursuit of an efficient reward system, some digital platforms for facilitating hackathons are resorting to programmable blockchains and token-based rewards. Integration of tokens may stimulate participation, increase trust, increase the expected value of the rewards over time, and ease the distribution of rewards. However, designing such systems is hard, and anticipating the system-level outcomes is even more challenging. In this work, we develop an agent-based model to study potential scenarios in facilitating interactions between creators, companies, and the platform. Such simulations allow digital platforms to design and test their incentive layers and optimize their reward distribution with minimal cost.
- Cashier-free supermarkets and consumer emotionsPublication . Kousi, Sofia; Naselli, Gaetano; NOVA School of Business and Economics (NOVA SBE)AI technology has changed the retail shopping experience, with several supermarket chains investing in cashier-free store formats. Using a real store, the present paper examines how the new technology impacts young consumers’ affective responses, including in cases of service disruptions. The results of an exploratory experiment (N = 151) indicate that compared to the traditional self-checkout supermarket, the cashier-free technology is well accepted by young consumers, who find it more empowering and exciting, more useful, easier to understand and use. Contrary to our expectations, consumers are not highly concerned about their privacy while using the cashier-free technology and have similar affective and behavioural reactions to technical problems that may arise in the store. Implications for retailers who plan to invest in cashier-free stores are discussed.
- Los primeros cincuenta años de la electrificación urbana y la experimentación en los negocios internacionalesPublication . Silva, Álvaro Ferreira da; Bartolomé-Rodríguez, Isabel; NOVA School of Business and Economics (NOVA SBE)
- Testing classic theories of migration in the labPublication . Batista, Cátia; McKenzie, David; NOVA School of Business and Economics (NOVA SBE)We use incentivized laboratory experiments to investigate how potential migrants make decisions between working in different destinations in order to test the predictions of different classic theories of migration. We test theories of income maximization, migrant skill-selection, and multi-destination choice and how the predictions and behavior under these theories vary as we vary migration costs, liquidity constraints, risk, social benefits, and incomplete information. We show how the basic income maximization model of migration with selection on observed and unobserved skills leads to a much higher migration rate and more negative skill-selection than is obtained when migration decisions take place under more realistic assumptions. Second, we find evidence of a home bias, where simply labelling a destination as “home” causes more people to choose that location. Thirdly, we investigate whether the independence of irrelevant alternatives (IIA) assumption holds. We find it holds for most people when decisions just involve wages, costs, and liquidity constraints. However, once we add a risk of unemployment and incomplete information, IIA no longer holds for about 20 percent of our sample.
- Informative advertising with discretionary searchPublication . Gardete, Pedro M.; Guo, Liang; NOVA School of Business and Economics (NOVA SBE)We consider a model of strategic information transmission where a firm can communicate its quality to consumers through informative advertising. Our main result is that informative advertising claims can be credible even when the firm faces consumers with exante homogeneous preferences. A fundamental assumption of our model is that whether the product is available for purchase is independent of consumers' information acquisition efforts (i.e., search is discretionary). This assumption, in conjunction with the pricing problem of the firm, provides incentives for truth-telling. When quality is common knowledge, increases in quality lead to a higher market price. However, firm profit and consumer welfare are non-monotonic in product quality. The firm may be worse off with a better product because of increased consumer search and resulting preference heterogeneity. Consumers may also become worse off with a higher quality product when the option value of searching is low because in this case the firm raises price quickly in order to target consumers who do not search. Finally, when product quality is unknown but credible information is available, consumers become worse off with the probability of facing a high type firm because this firm is able to extract value from trade most effectively.
- Proactive advisingPublication . Bell, Andrew; Rich, Alexander; Teng, Melisande; Orešković, Tin; Bras, Nuno B.; Mestrinho, Lenia; Golubovic, Srdan; Pristas, Ivan; Zejnilovic, Leid; NOVA School of Business and Economics (NOVA SBE)Despite once being nearly eradicated, Measles cases in Europe have surged to a 20-year high with more than 60,000 cases in 2018, due to a dramatic decrease in vaccination rates. The decrease in Measles, Mumps, and Rubella (MMR) vaccination rates can be attributed to an increase in 'vaccine hesitancy', or the delay in acceptance or refusal of vaccines despite their availability. Vaccine hesitancy is a relatively new global problem for which effective interventions are not yet established. In this paper, a novel machine learning approach to identify children at risk of not being vaccinated against MMR is proposed, with the objective of facilitating proactive action by healthcare workers and policymakers. A use case of the approach is the provision of individualized informative guidance to families that may otherwise become or are already vaccine hesitant. Using a LASSO logistic regression model trained on 44,000 child Electronic Health Records (EHRs), vaccine hesitant families can be identified with a higher precision (0.72) than predicting vaccine uptake based on a child's infant vaccination record alone (0.63). The model uses a low number of attributes of the child and his or her family and community to produce a prediction, making it readily interpretable by healthcare professionals. The implementation of the machine learning model into an open source dashboard for use by healthcare providers and policymakers as an Early Warning and Monitoring System (EWS) against vaccine hesitancy is proposed. The EWS would facilitate a wide variety of proactive, anticipatory and therefore potentially more effective public health interventions, compared to reactive interventions taken after vaccine rejections.
- The Escudo area in Africa and optimum currency areasPublication . Mata, Eugénia; NOVA School of Business and Economics (NOVA SBE)
- Pensamiento económico en la Europa del Sur en el siglo XIXPublication . Mata, Eugénia; NOVA School of Business and Economics (NOVA SBE)En el siglo diecinueve, algunos países europeos padecieron severos niveles de subdesarrollo acompañados de marcos institucionales poco adecuados. En la mayor parte de los casos, la ciencia económica del momento se aprendió dando especial prioridad a aquellos aspectos relacionados con las preocupaciones que se tenían y que estaban ligadas a los problemas del crecimiento económico. Esto condujo al deseo de adoptar reformas y de intervenir, principalmente a través de la política económica. Para forjar la modernización, algunos países emplearon paradigmas teóricos plurales con el fin de combatir la pobreza, cavando un gran foso entre las afirmaciones teóricas dominantes y las recomendaciones doctrinales. ¿Es posible establecer algún tipo de relación entre la difusión de la teoría económica, las políticas económicas que se adoptaron y su adecuación al objetivo del crecimiento económico y la modernización?