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This study aimed to analyze the strategies and challenges related to technology transfer (TT) in technology transfer offices (TTOs), specifically regarding actions to offer technologies in their portfolios.

The qualitative research used a multiple case study based on interviews with TTO managers from seven Brazilian public Science and Technology Institutions (STIs): University of São Paulo (USP), State University of Campinas (UNICAMP), Paulista State University (UNESP), Federal University of Minas Gerais (UFMG), Federal University of Paraná (UFPR), Federal Technological University of Paraná (UTFPR) and Oswaldo Cruz Foundation (FIOCRUZ).

STIs that invest more resources in their portfolio’s active offering and marketing are more successful in TT than STIs with a passive strategy. Although this active strategy has grown in importance, there is a disparity among Brazilian TTOs as some are still passive in commercializing their intellectual property. This research also highlights the need for clear policies to overcome obstacles related to legal uncertainty for researchers who wish to undertake projects as entrepreneurs using the intellectual property of STIs.

The results of this study cannot be generalized since its conclusions are limited to the studied institutions. However, the outcomes indicate some interesting matters for managers of STIs, public policymakers and TT researchers.

Literature on marketing and innovation related to TT between research institutions and companies in developing countries is still limited. Thus, this research contributes to generating knowledge in the field and improving TTOs.

A growing body of research finds that gig economy platforms use gamification to enhance managerial control. Focusing on technologically mediated forms of gamification, this literature reveals how platforms mobilize gig workers’ work effort by making the labour process resemble a game. This chapter contends that this tech-centric scholarship fails to fully capture the historical continuities between contemporary and much older occurrences of game-playing at work. Informed by interviews and participatory observations at two food delivery platforms in Amsterdam, I document how these platforms’ piece wage system gives rise to a workplace dynamic in which severely underpaid delivery couriers continuously employ game strategies to maximize their gig income. Reminiscent of observations from the early shop floor ethnographies of the manufacturing industry, I show that the game of gig income maximization operates as an indirect modality of control by (re)aligning the interests of couriers with the interests of capital and by individualizing and depoliticizing couriers’ overall low wage level. I argue that the new, algorithmic technologies expand and intensify the much older forms of gamified control by infusing the organizational activities of shift and task allocation with the logic of the piece wage game and by increasing the possibilities for interaction, direct feedback and immersion. My study contributes to the literature on gamification in the gig economy by interweaving it with the classic observations derived from the manufacturing industry and by developing a conceptualization of gamification in which both capital and labour exercise agency.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

Agricultural production in Honduras was devastated by the impact of hurricanes Eta and Iota in November 2020, placing people depending on agriculture in a vulnerable and food insecure situation. In addition to the COVID-19 pandemic and the economic downturn in the country, these extreme events are forcing more people to leave and head to North America in migrant caravans. Over the last decades, Honduras has been impacted by severe climate change events, including droughts and extreme tropical storms. According to the Global Climate Risk Index (CRI), developed by Germanwatch (Eckstein et al., 2019), Honduras was the second most affected country by climate change over a period of 20 years, from 1998 to 2017. Extreme rainfall and tropical storms, droughts, variation in rainfall patterns, and soil loss make agriculture more difficult, thus placing low-income rural families at the edge of hunger and food insecurity. In terms of migration policy, much focus has been given to economic instability, weak governance, violence and crime as push factors for migration, but the effect of food insecurity and climate change impact is often overlooked in this narrative. Agricultural areas in Honduras, traditionally the backbone of food production, have been identified as climate out-migration hotspots. The purpose of this chapter is to examine the most relevant data to understand the interactions between climate change, food insecurity and the current migration crisis in Honduras.

To achieve the UN’s 2030 agenda, consumers will need to behave more responsibly and make less environmentally harmful purchases. This study aims to investigate the antecedents of consumers’ pro-environmental purchase intentions based on a range of motivating (i.e. attitudes, locus of control) and inhibiting factors (i.e. apathy and myopia) for a low-involvement product. It also tests the moderating effect of the greenness of a low-involvement product (green vs nongreen) on the consumer’s pro-environmental purchase intentions.

An online panel survey of 679 Turkish consumers was used. Structural equation modeling was used to test the hypothesized relationships.

The results suggest that while inhibiting factors (i.e. apathy and myopia) may not directly impede such purchase intentions, they could prevent consumers from considering the environmental characteristics of low-involvement products.

The insights are expected to assist marketers and policymakers to understand consumer psychological mechanisms when encouraging and promoting pro-environmental behavior in the context of low-involvement purchases, enhancing consumers contributing to the 2030 objectives.

This study examines the role of inhibiting factors behind the purchase of low-involvement goods. It also tests the moderating effect of the greenness of a low-involvement product on pro-environmental purchase intentions.

Expanding on the real-world financial market framework and considering the current market turmoil, with cryptocurrencies (where contracts for difference (CFDs) are extremely common) (Hasso et al., 2019) displaying unprecedented volatility, the authors aim to test in an online laboratory setting whether displaying a risk warning message is truly effective in reducing the level of risk taken and whether the placement of this method makes a difference.

To explore the impact of risk disclosure framing on risk-taking behavior, the authors conducted an online pair-wise lottery choice experiment. In addition to manipulating risk awareness through the presence or absence of risk warning messages of varying intensity, the authors also considered dynamic inconsistency, cognitive ability and questionnaire-based financial risk tolerance (FRT) scores. The authors aimed to identify potential relationships between these variables and experimentally elicited risk aversion. The authors' study offers valuable insights into the complex nature of risky decision-making and sheds light on the importance of considering dynamic inconsistency in addition to risk awareness and aversion.

The authors' results provide statistical evidence for the efficacy of informative and very salient messages in mitigating risky decision, hinting at several policy implications. The authors also provide some statistical evidence in support of the relationship between cognitive abilities and risk preferences. The authors detect that individual with low cognitive abilities scores display great risk aversion.

This study investigates the impact of risk warning messages on investment decisions in an online laboratory setting – a unique approach. However, the authors go beyond this and also examine the potential influence of dynamic inconsistency on decision-making, adding further value to the literature on this topic. To ensure a comprehensive understanding of the participants, the authors collect data on cognitive ability and FRT using questionnaires. This study provides a simple and cost-effective framework that can be easily replicated in future research – a valuable contribution to the field.

Accurate glide path tracking is vital to the automatic carrier landing task of unmanned aerial vehicle (UAV). The purpose of this paper is to develop a reliable flight controller that can simultaneously deal with external disturbance, structure fault and actuator fault.

The automatic carrier landing task is resolved into the glide path tracking problem and attitude tracking problem. The disturbance observer-based adaptive sliding mode control scheme is proposed for system stabilization, disturbance rejection and fault tolerance.

Both the Lyapunov method and exemplary simulations can prove that the disturbance estimation error and the attitude tracking error converge in finite time in the presence of external disturbances and various faults.

The presented algorithm is testified by a UAV automatic carrier landing simulation, which shows the potential of practical usage.

The barrier function is introduced to adaptively update both the sliding mode observer gain and sliding mode controller gain, so that the sliding mode surface could converge to a predefined region without overestimation. The proposed flight controller ensures a secure carrier landing task.

Evidence suggests that retail investors who invest in individual stocks are, in the long run, largely outperformed by market indexes such as the MSCI World. While some turn to exchange traded funds (ETFs) to invest in such market indexes, few migrate completely to ETFs. This study aims to shed light on the rationale behind retail investors' partial and complete migration from stocks to ETFs.

Drawing from the pull-push-mooring framework, a qualitative study (N = 21) informs a quantitative study (N = 282) by following established mixed methods guidelines. This study develops propositions for partial and complete migration intention to ETFs.

Results reveal that perceived investment possibilities, perceived risk reduction, perceived administrative effort, perceived expensiveness and monetary loss costs influence the migration from stocks to ETFs. This study shows that three configurations of perceptions result in partial migration intention and one configuration results in complete migration intention.

This study explains why some migrate partially from stocks to ETFs and others migrate completely. Findings show that both migration behaviors are subject to the same perceptions, but the configurations that form the behaviors are different. While only some identified perceptions must be present for a partial migration, all of them must be present for a complete migration, as it requires retail investors to sell their stocks and accept the costs incurred to invest in ETFs instead.

The aim of this paper is to examine how indoor aromatization affects the expressed and unexpressed satisfaction with the work environment in the production hall of an industrial company.

The aroma was flavored by an aromatization unit, the expressed satisfaction was measured on a scale and biometrics of facial recognition (FaceReader) was used to measure unexpressed satisfaction, enabling the recording of eight emotions and two basic emotions.

Research has shown the effect of aroma on two emotions – neutral and angry – which partially confirmed the sense of flavoring production facilities. Previous research has shown that positive feelings caused by a pleasant smell influence customers' purchasing decisions. As the use of aroma affects the mental state of the individual, it could be also applied for non-marketing purposes.

To date, there has been no research that systematically addresses the impact of aromatization on the perception of the work environment in a manufacturing company. The presented study is unique in its design and focus and provides basic information about the impact of aroma on individuals. The findings of this study can help to examine further aspects that indirectly affect performance.