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This study aims to critically evaluate hospitality and tourism demand research and introduce a behavioral economics approach to solve the problems faced by researchers.

Current issues in hospitality and tourism demand analysis are identified through critical reflection, and a behavioral economics approach is adopted to develop a new conceptual framework.

Four issues in hospitality and tourism studies are identified from the microeconomic theory and econometric modeling perspectives. The study’s demand framework provides both a theoretical underpinning and quantitative models to resolve the identified issues. With a focus on consumers’ cost–benefit assessments in light of individual differences and environmental factors, the authors’ conceptual framework represents a new effort to quantify hospitality and tourism demand at the disaggregate level with interactive multiple demand curve estimations.

The study’s analytical framework for hospitality and tourism demand analysis is unique, and it fills the research gap. However, this research is still in the conceptual stage, and the authors leave it to future studies to empirically test the framework.

The proposed demand framework at the disaggregate level will benefit both private and public sectors involved in hospitality and tourism businesses in terms of pricing, marketing and policymaking.

The authors offer a new conceptual model that bridges the gap between aggregate and disaggregate hospitality and tourism demand analyses. Specifically, the authors identify research directions for future hospitality and tourism demand research involving individual tourists/consumers at the disaggregate level.

The purpose of this paper is to develop a methodology for knowledge discovery in emergency response service databases based on police occurrence reports, generating information to help law enforcement agencies plan actions to investigate and combat criminal activities.

The developed model employs a methodology for knowledge discovery involving text mining techniques and uses latent Dirichlet allocation (LDA) with collapsed Gibbs sampling to obtain topics related to crime.

The method used in this study enabled identification of the most common crimes that occurred in the period from 1 January to 31 December of 2016. An analysis of the identified topics reaffirmed that crimes do not occur in a linear manner in a given locality. In this study, 40 per cent of the crimes identified in integrated public safety area 5, or AISP 5 (the historic centre of the city of RJ), had no correlation with AISP 19 (Copacabana – RJ), and 33 per cent of the crimes in AISP 19 were not identified in AISP 5.

The collected data represent the social dynamics of neighbourhoods in the central and southern zones of the city of Rio de Janeiro during the specific period from January 2013 to December 2016. This limitation implies that the results cannot be generalised to areas with different characteristics.

The developed methodology contributes in a complementary manner to the identification of criminal practices and their characteristics based on police occurrence reports stored in emergency response databases. The generated knowledge enables law enforcement experts to assess, reformulate and construct differentiated strategies for combating crimes in a given locality.

The production of knowledge from the emergency service database contributes to the government integrating information with other databases, thus enabling the improvement of strategies to combat local crime. The proposed model contributes to research on big data, on the innovation aspect and on decision support, for it breaks with a paradigm of analysis of criminal information.

The originality of the study lies in the integration of text mining techniques and LDA to detect crimes in a given locality on the basis of the criminal occurrence reports stored in emergency response service databases.

The purpose of this paper is to develop a method for the discovery of knowledge in emergency response databases based on police incident reports, generating information that identifies local criminal demands that allow the selection of the appropriate policing strategies portfolio to solve the problem.

The developed model uses a methodology for the discovery of knowledge involving text mining techniques using Latent Dirichlet Allocation (LDA) integrated with the ELECTRE I multicriteria method.

The developed method allowed the identification of the most common criminal demands that occurred from January 1 to December 31, 2016, in the policing areas studied. One of the crimes does not occur homogeneously in a particular locality. In this study, it was initially observed that 40 per cent of the crimes identified in the Integrated Public Safety Area 5, or AISP-5, (historical city center of RJ) had no correlation with AISP-19 (Copacabana - RJ), and 33 per cent of crimes crimes in AISP-19 were not identified in AISP-5. This finding guided the second part of the method that sought to identify which portfolio of policing strategies would be most appropriate for the identified demands. In this sense, using the ELECTRE I method, eight different scenarios were constructed where it can be identified that for each specific criminal demand set there is a set of policing strategies to be applied.

The collected data represent the social dynamics of neighbourhoods in the central and southern zones of the city of Rio de Janeiro during the specific period from January 2013 to December 2016. This limitation implies that the results cannot be generalised to areas with different characteristics.

The developed methodology contributes in a complementary way to the identification of criminal practices and their characteristics based on reports of police occurrences stored in emergency response databases. The knowledge generated through the identification of criminal demands allows law enforcement decision makers to evaluate and choose among the available policing strategies, which best suit the reality they study, and produce the reduction of criminal indices.

It is possible to infer that by choosing appropriate strategies to combat local crime, the proposed model will increase the population’s sense of safety through an effective reduction in crime.

The originality of the study lies in the integration of text mining techniques, LDA and the ELECTRE I method for detecting crime in a given location based on crime reports stored in emergency response databases, enabling identification and choice, from customized policing strategies to particular criminal demands.

This paper determined sodium provisions from a seven-day cycle menu and commissary at a rural Southwest County jail and compared it to Dietary Reference Intakes (DRI) and Dietary Approaches to Stop Hypertension (DASH) recommendations for sodium.

A seven-day cycle menu and commissary items were used to determine sodium content for each meal and commissary pack. Estimates for the menu and commissary packs paired with the menu (commissary scenarios) were converted to a daily average of sodium and compared to DRI and DASH recommendations.

Menu provisions provided 167% of daily DRI sodium recommendations and 256% of daily DASH sodium recommendations. The sodium content for individual commissary scenarios averaged 218% of DRI and 334% of DASH recommendations. Commissary items are notably high in sodium and if eaten can significantly exceed dietary recommendations.

Small changes to one meal within the cycle menu and the inclusion of fresh or frozen produce could reduce sodium content to align with DRI and DASH recommendations.

The aim of this study is to examine the motive of China's and India's engagement in African countries particularly in Ethiopia and to address the land grabbing and debt-trap diplomacy between Ethiopia and the Asian drivers, which creates challenges across the diverse social, political, economic and ecological contexts.

This study utilises both primary and secondary data. The available literature is also reviewed. The primary data were gathered through semi-structured interviews and discussions from (1) several authority offices in Ethiopia, sources close to authorities, information-rich informants, employees and (2) perspectives, perceptions and prospects from individual members of society.

The study unmasks the win-win cooperation strategy from the perspective of the members of society in Ethiopia, evaluates whether China and India have strings attached or land grabbing motives. The study also shows that whether China's and India's move was deliberate, the implications of debt-trap diplomacy and exploitation in Ethiopia are apparent. Additionally, this study investigated several considerable potential threats to Ethiopia that will persist unless significant measures are taken to control the relations with Asian drivers.

Some of the limitations of this paper pertain to the primary data collection process from the Ethiopian Investment Commission (EIC) and other authorities, which was very challenging because people can be punished for talking to journalists or researchers. Furthermore, some investors were not willing to participate in discussions because they were engaged in areas that are not related to their licenses. Many interviewees were also not willing to disclose their names, and the data are not exhaustive in the number of investment projects covered.

This study provides new evidence on the influence of Chinese and Indian investment, aid and trade on Ethiopia's social, political and economic spheres. Additionally, this study contributes to the ongoing debate on land grabbing and debt-trap diplomacy in Ethiopia.

The purpose of the study is to explain why some foreign firms are accepted in a host country, while others are not.

The paper is conceptual. It first articulates the meaning of firm acceptability in the eyes of host country societies, which remains ambiguous in the current literature. Second, using a social psychological theory, the paper explores the firm-level attributes that can shape the societal judgment of firms’ acceptability.

The paper suggests that foreign firms’ acceptability pertains to the perception to which they can contribute to the host country’s economic development and societal well-being. The judgment of this is carried out by emphasizing three types of organizational cues, which indicate firms’ capacity to contribute.

This conceptual paper contributes to the understanding of firms’ social acceptance in a host country by explicating the meaning of social acceptability and exploring the evaluation mechanism local actors adopt to judge foreign firms. The paper would benefit from empirical investigation by future research.

The meaning of social acceptability of foreign firms remains largely implicit in the literature; likewise, the evaluative mechanism of the firms’ acceptability is little researched. The paper addresses these two issues by undertaking a critical theory stance. It builds on a social psychology theory, multinational corporation (MNC) literature and economic nationalism, thus demonstrating a multidisciplinary approach.

Since the global financial crisis of 2007-2009 academic research has paid considerable attention to understanding the nature of the crisis, its causes and consequences. This is not surprising given the scale and scope of the crisis. Much of this research has been undertaken within social science disciplines. At the same time, the crisis has also been the subject of fiction – novels, poetry and drama, and there is also a small body of academic scholarship on fiction relating to the crisis (and on finance in fiction more generally). The purpose of this paper is to suggest that fiction can offer a new perspective on the global financial crisis and thereby enhance our understanding of it.

This exploration draws upon three works of post-crisis fiction: the 2009 play by David Hare, The Power of Yes: A Dramatist Seeks to Understand the Financial Crisis (hereafter The Power of Yes); Other People’s Money, a novel by Justin Cartwright (2011); and Robert Harris’s novel The Fear Index also published in 2011. Its approach is based on close readings of the three texts in question.

Finance fiction stimulates a reconceptualization of the global financial crisis as a crisis of innovation and technological change.

This paper is a viewpoint article. The originality lies in the author’s interpretation of reading the global financial crisis through fiction.