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Reflexivity supports research teams in developing and implementing interdisciplinarity perspectives, but there is still limited literature on this topic. To fill this gap, we explore how reflexivity can support a research team in its interdisciplinary efforts to create new knowledge for disaster risk reduction.

We present the reflexive journey of our interdisciplinary research team consisting of Ecuador- and UK-based researchers from the social sciences, physical sciences and the arts and humanities and conducting multi-hazard research on Quito. By triangulating data obtained from different material collected during the reflexive journey, we discuss examples of how our team employed reflexivity towards interdisciplinarity.

The reflexive journey allowed our interdisciplinary team to acknowledge and give value to its diversity; to discuss disciplinary language differences, and to gradually develop interdisciplinary working practices and conversations. The journey demonstrates how reflexive practices within research teams allow researchers to overcome disciplinary differences and promote interdisciplinarity to reach research outcomes.

Our reflexive experience shows that adopting reflexivity can be effective in both enhancing interdisciplinarity and addressing the complex nature of risk.

The purpose of this second of two companion papers is to further review the insights provided by experimental studies examining financial decisions and market behavior.

Focus is directed on those studies examining explicitly, or with direct implications for, the most robustly identified phenomena or stylized facts observed in behavioral finance. The themes for this second paper are biases, moods and emotions.

Experiments complement the findings from empirical studies in behavioral finance by avoiding some of the limitations or assumptions implicit in such studies.

The author synthesizes the valuable contribution made by experimental studies in extending the knowledge of how biases, moods and emotions influence the financial behavior of individuals, highlighting the role of experimental studies in policy design and intervention.

This paper aims to examine the joint influence of incidental affect and mood-changing prices on consumers’ hotel booking intention in an online purchase context.

Based on the integrative framework of affect evaluation and affect regulation, a 3 × 2 full factorial between-subject online experiment in an online booking scenario is developed to investigate how consumers’ booking intentions change by mood inductions (happy, neutral and sad) and price levels (below versus above reference price).

Results showed that when the observed price was a mood-threatening cue, participants who were induced to feel either happy or sad by a commercial had a higher booking intention than those who were induced to feel neutral. However, there were no significant differences in participants’ booking intentions across pre-purchase affective states when the observed price was a mood-lifting cue.

The current study contributes to a better understanding and prediction of consumers’ action tendencies resulting from the interactions between specific incidental affects and mood-changing opportunities in an online hotel reservation environment.

Online booking companies and online travel agencies in general may wish to incorporate mood-changing components into their booking web pages to enhance potential bookers’ purchase intentions at any given price.

This research is one of the first empirical studies to instantiate the integrative affective mechanism in an online purchase setting. As e-commerce and online marketplaces are taking the place of traditional brick-and-mortar retailing, it is critical for hospitality industry marketers to fully understand how consumers’ pre-purchase emotions influence their purchase decisions.

This paper aims to study the dynamics of bitcoin prices in Brazil, a large emerging economy with an unregulated bitcoin market.

First, this study tests if the Law of One Price (LOOP) is valid for bitcoin prices in Brazil, conducting tests with data from three Brazilian exchanges. Next, this study documents bitcoin price dynamics in the short run by studying the price discovery mechanism in these exchanges. This study uses Information Share and Component Share, combining the two measures to obtain an Information Leadership Share (ILS) measure.

This study finds a common trend within bitcoin prices among a set of exchanges, with cointegration tests between the price series indicating that LOOP is valid in Brazilian markets in the long run. ILS indicated that, for closing prices, the most liquid exchange (Foxbit) leads discovery, whereas the least liquid (Local Bitcoin) lags, with Mercado Bitcoin in the middle both in terms of discovery and liquidity. Finally, this study provides evidence that the price variation in the market that leads price discovery can be used to construct an arbitrage in another exchange.

This research brings the first evidence of a price discovery mechanism for exchanges in Brazilian Reais. Although LOOP is valid in the long run, price leadership in bitcoin markets potentially create arbitrage opportunities in the short run. This study contributes to the growing literature of bitcoin prices with novel evidence from a large emerging economy.

The purpose of this paper is threefold: first, to identify the influence of brand equity (BE) of commoditized products of famous brand on purchase intention and willingness to pay a premium price in an emerging market; second, to identify the relationship between the BE of these products and their antecedents; and third, to identify the influence of subjective norms on purchase intention and BE. Commoditized products are bought due to necessity and not desire, are homogeneous, produced on a large scale, and have low added value.

A theoretical model is proposed contemplating the constructs: BE, purchase intention, premium price, perceived quality, brand recall, perceived value and subjective norms. We performed a quantitative study with 432 respondents. We used questionnaires, and we analyzed the data using the structural equation modeling with partial least squares.

The results indicate a positive relationship between BE and purchase intention, BE and premium price, perceived value and BE, subjective norms and purchase intention and subjective norms and BE. It should be noted that an emerging market has characteristics distinct to that of a mature market, justifying specific research in this context.

The study brought a theoretical model relating antecedents and consequents of BE in the segment of commoditized products. Furthermore, it indicated the strength of the brand of the commoditized products in an emerging market scenario.

Earned Value Management (EVM) is a project monitoring and control technique that enables the forecasting of a project's duration. Many EVM metrics and project duration forecasting methods have been proposed. However, very few studies have compared their accuracy and stability.

This paper presents an exhaustive stability and accuracy analysis of 27 deterministic EVM project duration forecasting methods. Stability is measured via Pearson's, Spearman's and Kendall's correlation coefficients while accuracy is measured by Mean Squared and Mean Absolute Percentage Errors. These parameters are determined at ten percentile intervals to track a given project's progress across 4,100 artificial project networks with varied topologies.

Findings support that stability and accuracy are inversely correlated for most forecasting methods, and also suggest that both significantly worsen as project networks become increasingly parallel. However, the AT + PD-ESmin forecasting method stands out as being the most accurate and reliable.

Implications of this study will allow construction project managers to resort to the simplest, most accurate and most stable EVM metrics when forecasting project duration. They will also be able to anticipate how the project topology (i.e., the network of activity predecessors) and the stage of project progress can condition their accuracy and stability.

Unlike previous research comparing EVM forecasting methods, this one includes all deterministic methods (classical and recent alike) and measures their performance in accordance with several parameters. Activity durations and costs are also modelled akin to those of construction projects.

The purpose of this paper is to find out the relevant factors, according to teenagers, that influence the buying decision of the family car.

Research carried out in three stages: one qualitative research (by using focal groups), and two quantitative research studies (descriptive and cross-sectional).

The authors identified three factors that are important for teenagers when influencing the purchase of the family car: safety, sportiness and comfort. The identification of these factors shows that the millennial generation tends to emphasize aspects of individual interest, such as status and performance, and family context, such as safety and comfort, rather than social aspects, such as the type of fuel and environmental impact.

The authors recommend the development of automobiles that prioritize the three factors mentioned herein in order to reverse the trend of declining car purchase.

The authors presented the relevant attributes in buying decisions of family cars according to teenagers. The authors also indicated the automobile attributes that are relevant for a more informed, connected, and with an increasing purchase power generation in contrast with previous generations, whose social context was prior to the emergence of social media.

The purpose of this paper is to investigate the relationship between personal values and attitudes in an emerging market. And the authors verified whether the attitude plays a mediating role between personal values and the intention to purchase these products in the same market.

Two surveys were conducted with consumers of organic food in Brazil. The first study was conducted at two organic products fairs and obtained 385 responses. The second study was conducted on the internet and obtained 270 responses. The Portrait Values Questionnaire 21, plus attitude scales and purchase intent regarding organic food, was used. Data were analysed using structural equation modelling.

Significant relationships were found between personal values, such as openness to change (positive influence), conservation (positive), self-promotion (positive) and self-transcendence (negative). Significant relationships were also found between three personal values and the purchase intention of organic food (conservation – positive, self-promotion – positive and self-transcendence – negative), with all of them being mediated by attitude. The effect of openness to change on purchase intention was indirect, being mediated by attitude.

The authors noticed two theoretical gaps. The first involves the need to explore the attitude as a mediator in the relationship between the human values proposed by Schwartz (1992, 1994) and the intention to purchase organic food. Another perceived gap was pointed out by Steenkamp et al. (1999), Burgess and Steenkamp (2006) and Sheth (2011). These authors argue that consumption is different in emerging markets to that in more mature markets. This limits the ability to generalise consumer studies conducted in developed countries. This reasoning also applies to organic food.

The purpose of this work is to apply a recently proposed constitutive model for mechanically induced martensitic transformations to the prediction of transformation loci. Additionally, this study aims to elucidate if a stress-assisted criterion can account for transformations in the so-called strain-induced regime.

The model is derived by generalising the stress-based criterion of Patel and Cohen (1953), relying on lattice information obtained using the Phenomenological Theory of Martensite Crystallography. Transformation multipliers (cf. plastic multipliers) are introduced, from which the martensite volume fraction evolution ensues. The associated transformation functions provide a variant selection mechanism. Austenite plasticity follows a classical single crystal formulation, to account for transformations in the strain-induced regime. The resulting model is incorporated into a fully implicit RVE-based computational homogenisation finite element code.

Results show good agreement with experimental data for a meta-stable austenitic stainless steel. In particular, the transformation locus is well reproduced, even in a material with considerable slip plasticity at the martensite onset, corroborating the hypothesis that an energy-based criterion can account for transformations in both stress-assisted and strain-induced regimes.

A recently developed constitutive model for mechanically induced martensitic transformations is further assessed and validated. Its formulation is fundamentally based on a physical metallurgical mechanism and derived in a thermodynamically consistent way, inheriting a consistent mechanical dissipation. This model draws on a reduced number of phenomenological elements and is a step towards the fully predictive modelling of materials that exhibit such phenomena.

This chapter explores the strategic integration of Industry 4.0 technologies within the SA8000 audit framework, which marks a transformative shift in ethical and socially responsible practices. Released by Social Accountability International (SAI), SA8000 is a social accountability standard highly relevant in addressing labor-related issues, exerting a pivotal influence on the management of companies and supply chain sustainability. By illustrating how technology can significantly enhance efficiency, transparency, and efficacy in conducting SA8000 audits, data analytics, IoT devices, AI, and blockchain will be used in this chapter. The chapter's recommendations for managers, auditors, and employees point toward strategic management of resources, collaborative activities across different departments, and improving digital competencies. The discussion makes out a clear pathway for the effective application of Industry 4.0 in the SA8000 auditing practices, enhancing sustainability, ethics, and streamlined auditing practices that would significantly contribute to the comprehensive goals of corporate sustainability and social responsibility in today's digital era.