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The purpose of this study is to analyze how sentiment affects economic activity in Brazil.

Based on a nonlinear autoregressive distributed lag (NARDL) model, this study examines in detail the short-term and long-term asymmetric impacts between the variables during the period from January 2007 to December 2020.

There are three main results of this study. First, sentiment is an important factor for economic activity in Brazil, and its effect possibly occurs through the channels of consumption and investment, which are the two main components of economic growth. Second, sentiment affects economic activity in different ways in the short and the long term: in Brazil, although in the short-term, immediate shocks of sentiment may be confusing, the negative shocks from previous periods have a negative impact on economic activity. Third, the effect of shocks of optimism and pessimism on economic activity is asymmetric, and in the long run, only shocks of optimism have a significant and positive impact.

The relationship between sentiment and economic activity is still a controversial issue in the literature and this study seeks to advance its understanding in Brazil.

The restaurants in Peru enjoy today a high level of international recognition, and the gastronomy of the country is recognised as one of the best in the world. For this reason, aspiring to excellence should be one of the priorities in the industry, which should mean, among other things, enhancing those aspects related to food with the greatest impact on the maximum level of customer satisfaction. However, to the authors knowledge, this research line has not been addressed before in the context of Peruvian restaurant, so that this research focuses on assessing the influence of food – through the concept of food values –, on the probability of reaching the maximum level of satisfaction both with the food consumption experience and with the foods consumed in restaurants in Peru. This research also takes into account differences according to the geographical origin of the customers.

An in-person survey of customers was conducted at the exit of different flagship restaurants with a high level of recognition and tourist orientation in the department of Ayacucho (Peru) between September and November 2022. Five restaurants acknowledged as tourist restaurants were selected for this study, of which, one has been officially granted the status of Tourist Restaurant and One Fork, in accordance with the Peruvian legal regulations. A total of 468 valid questionnaires were collected. The database was analysed using descriptive statistics, principal component factor analysis for food values, and binary logistic regressions.

The following food values factors emerged from the factorial analysis: “Image and Accessibility (IAA)”, “Ethics and Sustainability (EAS)” and “Natural Food-Safe (NFS)”. For the overall sample, IAA is more influential in the probability of obtaining the maximum level of both satisfactions (i.e. satisfaction with the food consumption experience and with the foods consumed in restaurants in Peru). In second place, EAS, as well as NFS (the latter one with a significance level of 90%), also affect, in this order, the probability of obtaining the highest level of satisfaction, but only with the foods consumed. When the geographical origin of the customer is considered (regional, national, international), interesting findings appear. For national customers, IAA is the factor with the greatest impact on the probability of achieving the maximum level of the endogenous satisfaction variables considered, followed by EAS, whilst for regional customers, only EAS is found to be influential in the probability of obtaining the maximum level of both types of satisfaction. For international customers, no factor is found to exert a significant influence.

This is the first study to assess the influence of food values on the maximum level of satisfaction among restaurant customers in Peru with both the food consumption experience and the foods consumed. Thus, this research represents a notable contribution to this research line, especially considering the great international reputation of Peruvian cuisine.

The hospitality industry values segmentation and loyalty programs (LPs), but there is limited research on new methods for segmenting loyalty program members, so managers often rely on conventional techniques. This study aims to use big data-driven segmentation methods to cluster customers and provide a new solution for customer segmentation in hotel LPs.

Using the k-means algorithm, this study examined 498,655 profiles of guests enrolled in a multinational hotel chain’s loyalty program. The objective was to cluster guests according to their consumption behavior and monetary value and compare data-driven segments based on brand preferences, demographic data and monetary value with loyalty program tiers.

This study shows that current tier-based LPs lack features to improve customer segmentation, and some high-tier members generate less revenue than low-tier members. Therefore, more attention should be given to truly valuable customers.

Hotels can segment LP members to develop targeted campaigns and uncover new insights. This will help to transform LPs to make them more valuable and profitable and use differentiated rewards and strategies.

As not all guests or hotel brands benefit equally from LPs, additional segmentation is required to suit varying guest behaviors. Hotel managers can use data mining techniques to develop more efficient and valuable LPs with personalized strategies and rewards.

This chapter considers the modes and politics of refugee representation, and the function of art and literature as sites of resistance to, or the reinforcing of, dehumanising or idealised tropes of people seeking refugee protection. Specifically, the chapter addresses the connection between dehumanised representations of the imagined refugee and the violence and ‘logic’ of Australia’s offshore detention regime in Nauru and Papua New Guinea. In engaging with these issues, the chapter draws on Manus Prison Theory and its focus on who gets to represent refugee experience, and to generate knowledge about it and on what terms. It considers these questions through an examination of two contrasting art projects, which alternately raise and contest the idea of the ‘deserving refugee’. In exploring these questions, the chapter also engages with the temporalities of refugee representation and the role of crisis in generating ‘stock’ refugee representations. It ultimately argues that the politics of refugee representation are central to questions of refugee and migrant justice, and further, that we cannot separate contemporary forms and representations of violence against refugees from colonial and neocolonial acts of sovereignty and expulsion.

Since the introduction of balanced scorecard by Kaplan and Norton in 1992, it garnered considerable research and practice attention across disciplines. Using bibliometric analysis, this study examines trends in balanced scorecard research in last 20 years and identifies future areas of research.

The Web of Science database was used to extract research papers from the 2003 to 2023 period with “Balanced Scorecard” as topic. The final sample consisted of 445 articles. Trends and patterns were analyzed using bibliometric analysis through research profiling and thematic analysis.

The findings reveal that BSC, spanning across disciplines, including business and operations, has enriched the theory and practice of BSC research. Analytical and survey methods were more prevalent than primary studies. Scholars from the USA and the UK have made noteworthy contributions to balanced scorecard research. Emerging themes include integrating human resources, sustainability, subjectivity in performance evaluation and non-financial performance indicators in BSC for better strategic decision-making.

The study would inspire researchers to generate new research questions and hypotheses and help in identifying gaps in the current knowledge base and areas where further investigation is needed. Managers would gain useful insights into performance management by studying the BSC research evolution to find a fit for modern-day industry needs.

The authors’ contribution fills the void by providing useful account of extent research over last 20 years using bibliometric analysis and motivate future research directions.

This study aims to examine the relationship between selfishness, moral justification and intention to fraud among accounting certified professionals. It focuses on the role of moral justification in explaining the link between selfishness and intention to fraud.

Data were collected with the help of a structured questionnaire. The final sample includes 240 accounting certified professionals. To test the hypothesized model in this study, IBM AMOS ver26 was used to perform the structural equation modeling.

The results of this study show that selfishness has no direct impact on the intention to commit fraud. However, selfishness does have a positive impact on moral justification. Furthermore, the study found that moral justification mediates the relationship between selfishness and fraud intention.

This study provides important implications for accounting firms and other organizations and recommends that they implement the necessary practices to reduce the fraudulent intentions of certified accounting professionals while simultaneously reducing selfishness and moral justification.

This research is among the few studies in the accounting field that address the mediating role of moral justification in the relationship between selfishness and fraud intention among certified accounting professionals.

While scholars have researched the impact of specific total quality management (TQM) aspects on innovation performance (INP), empirical evidence on how the former, as a composite construct, influences the latter is rare. To add, empirical evidence on the mechanism through which TQM passes to affect innovative behaviour (INB) and, then, INP is limited. Essentially, scholars have requested that future research look at the boundary conditions that support the adoption of TQM activities in businesses. Although the banking sector has experienced a number of transformations, there is still a need to raise the standard of service provided to bank customers. This research sheds more light on this subject.

This research tests the hypotheses in Ahinful et al.’s (2023) conceptual model using responses from 260 top- and middle-level bank managers by applying Smart PLS. Organisational support and team member exchange were used as potential control variables for the mediator, while slack resources and bank size were applied to the target endogenous latent construct. Mediation and moderation effects were estimated using the variance accounted for (VAF) and product indicator approaches, respectively. Sig. level was set at 5%.

This study found that TQM and INP had a positive and significant connection (ß = 0.303, p = 0.000), and INB partially mediated this connection (VAF = 40.92%). However, government regulation (GOV; ß = 0.055, p = 0.365), market dynamism (MKD; ß = 0.063, p = 0.434), competitive intensity (CMP; ß = 0.069, p = 0.297) and technological turbulence (TUR; ß = 0.011, p = 0.865) all failed to moderate the TQM–INB connection, although the expected positive directions of these moderation relationships were established.

This research provides empirical evidence on the TQM–INP connection, how this connection may be mediated and how the TQM–INB connection may be activated. It also sheds light on novel ways in which service quality in the banking sector may be improved. Upcoming research may explore other control variables in their research. Since the moderating relationships were unsupported, this avenue is open for further research, particularly in other banking settings across the globe.

Practical lessons for bank consultants, regulators, customers, employees and managers are deliberated.

This research is novel. It is the first to test the hypotheses in Ahinful et al.’s (2023) conceptual model. This study advances the theoretical frameworks and existing knowledge within the TQM, innovation and performance management fields.