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Vulnerability is a label and a concept that is widely used in disaster studies. To date the meaning has been quite limited and implied “weakness”, with criticisms arising periodically but not halting vulnerability's reproduction. In this paper, the authors offer a new theory of vulnerability for the field, suggesting that complicating the concept can create space for liberatory discourse and organising.

The authors draw from diverse understandings of vulnerability to generate new conceptual ground for disaster scholars. The authors explore the relationships between power and agency and autonomy and social hierarchy with regards to how vulnerability is considered within neoliberal democracies. The authors also outline ideological responses and the political actions that follow.

This exploration is underpinned by dissatisfaction with the way that vulnerability has thus far been theorised in disaster studies. Using the analytical framings provided, the authors hope that others will build on the idea that so-called “vulnerable” people, working in solidarity and using intersecting frameworks of anti-racism, anti-colonialism and anti-capitalism, can undermine the risk-creating norms of the neoliberal state.

The authors argue that the dominant framing of vulnerability in disaster studies – and usage of the vulnerability paradigm – provides political traction for neoliberal social projects, based on notions of humanitarianism. The authors make this claim as a challenge to the authors and the authors' peers to maintain reflexive scholarship and search for liberatory potential, not only in vulnerability but in other concepts that have become normative.

The purpose of this paper is to propose a maturity model to improve warehouse performance.

This paper will follow De Bruin et al’s (2005) suggested six relevant phases: scope, design, populate, test, deploy and maintain in developing the proposed maturity model. This study concentrates on the first five phases.

The proposed warehouse maturity model can be used as descriptive, benchmarking and a prescriptive with a road map for improvement.

The warehouse maturity model was proposed to let warehouse managers evaluate their practices and assess them by maturity level. Then, the proposed warehouse maturity model can be utilized to develop a set of plans for conducting projects to improve the warehouse practices, techniques and tools.

The proposed warehouse maturity model contributes to fill the shortages of maturity model addressing the warehouse environment. In particular, it provides a useful tool to establish the overall maturity level of a warehouse system. The proposed maturity model supports strategic decisions oriented toward improvement capabilities of the warehouse and to compete based on service level provided.

The objective of this chapter is to provide an approach to the farmland abandonment problem in Galicia, the Spain’s north-western region. We describe the land use pattern that characterized the traditional agricultural system, and analyze the process of structural adjustment and changes in land use recorded in the last 50 years. The empirical basis is provided mainly by an original elaboration of agricultural census data for the period 1982–2009. The results show that in the last five decades the area devoted to crops and pastures was constrained to a small portion of the territory (just over 20%), while the agro-livestock uses of hill land which were very important up to the mid-twentieth century disappeared. All this led to a remarkable expansion of abandoned land, which currently occupies at least 20% of the regional area. The drivers of this farmland abandonment are diverse and vary from one zone to another. But among them the conditioners derived from the structure of land ownership must be emphasized, coupled with the poor functioning of the land market and leasing. Land abandonment has had a major impact on the dynamics of the agricultural sector, limiting the size of farms and causing an increasing intensification in a small portion of the territory. This has also led to severe environmental problems, especially forest fires. Consequently, improving mobility and land use should be a priority of agricultural and rural development policies in this region.

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 article is to analyze the state-of-the art in a systematic way, identifying the main research groups and their related topics. The types of studies found are fundamental for understanding the application of artificial neural networks (ANNs) in cemented soils and the potential for using the technique, as well as the feasibility of extrapolation to new geotechnical or civil and environmental engineering segments.

This work is characterized as being bibliometric and systematic research of an exploratory perspective of state-of-the-art. It also persuades the qualitative and quantitative data analysis of cemented soil improvement, biocemented or microbially induced calcite precipitation (MICP) soil improvement by prediction/modeling by ANN. This study sought to compile and study the state of the art of the topic which possibilities to have a critical view about the theme. To do so, two main databases were analyzed: Scopus and Web of Science. Systematic review techniques, as well as bibliometric indicators, were implemented.

This paper connected the network between the achievements of the researches and illustrated the main application of ANNs in soil improvement prediction, specifically on cemented-based soils and biocemented soils (e.g. MICP technique). Also, as a bibliometric and systematic review, this work could achieve the key points in the absence of researches involving soil-ANN, and it provided the understanding of the lack of exploratory studies to be approached in the near future.

Because of the research topic the article suggested other applications of ANNs in geotechnical engineering, such as other tests not related to geomechanical resistance such as unconfined compression test test and triaxial test.

This article systematically and critically presents some interesting points in the direction of future research, such as the non-approach to the use of ANNs in biocementation processes, such as MICP.

Regarding the social environment, the paper brings approaches on methods that somehow mitigate the computational use, or elements necessary for geotechnical improvement of the soil, thereby optimizing the same consequently.

Neural networks have been studied for a long time in engineering, but the current computational power has increased the implementation for several engineering applications. Besides that, soil cementation is a widespread technique and its prediction modes often require high computational strength, such parameters can be mitigated with the use of ANNs, because artificial intelligence seeks learning from the implementation of the data set, reducing computational cost and increasing accuracy.

Research in gender and development (GAD) remains largely preoccupied with women's issues and ignores the gendered nature of masculine experience. While exposing this inconsistency in gender research, the present paper highlights the gendered nature of men, and sets an agenda for their inclusion in gender research and planning.

To engage with the issue, the paper resists an unproblematic understanding of men as a singular formation, and instead builds on cultural and historical approaches which locate masculinity within modes of production.

Instead of casting men in the problem mode and theorizing masculinity as an ahistorical universal, an attempt is made to delink men from patriarchy. For development to be truly transformative, men's issues should be addressed not just as instruments for women empowerment, but also as subjects in themselves.

The paper, at a very broad level, pleads for a need to re‐vision and “men” stream development that does not ignore women, but accommodates men as gendered subjects.

In this context, power may be seen as embedded in specific modes of production, and not inherent in patriarchy. The paper argues that development agenda should go beyond categorical thinking, include men in gender planning, and create conditions for social justice.

The COVID-19 pandemic has resulted in social isolation; nevertheless, universities will proceed throughout this trying period with the assistance of technology. As such, this paper seeks to develop a conceptual framework to investigate the continued intentions of students to use mobile learning during COVID-19 under different cultural contexts expanding upon the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Expectation-Confirmation Model (ECM) under different cultural contexts.

The suggested model is empirically tested with 1,206 students from different universities in three societies (i.e. Saudi Arabia, Egypt and the UK) using SEM/PLS.

Performance expectancy, satisfaction, social influence, facilitating conditions and instructors' competencies positively influence students' continued intentions to use mobile learning. In addition, the findings of the current research indicate that student's isolation negatively impact the continuous usage behavior. Furthermore, the findings indicated that a “one-size-fits-all” approach is insufficient in capturing the heterogeneity of students' intentions to use mobile learning across countries.

To the best of the authors' knowledge, this is the first study that has been conducted to understand the main determinants of students' continued intentions to use mobile learning under different cultural contexts.

The pre-eminence of innovation and technological transfer in promoting agricultural productivity and competitiveness in developing countries is widely acknowledged. However, the disparate streams of literature on productivity and competitiveness have explored innovation and technology transfer as independent predictors. Consequently, the mechanisms through which innovation and technology transfers jointly affect productivity and competitiveness of small, medium and micro enterprises (SMMEs) in emerging economies remain under-explored in literature. The present study sought to examine the relationships among innovation, technology transfer, productivity and competitiveness of small-scale agricultural businesses (SSABs) in selected regions in South Africa and Zimbabwe, neighbouring countries which have been plagued by food insecurity in recent years.

A total of 400 questionnaires were distributed to SSABs owners based in Free State and Mashonaland provinces of South Africa and Zimbabwe, respectively. In total, 268 usable questionnaires (67%) were returned for analysis. Partial least squares structural equation modelling (PLS-SEM) and Process macro (based on SPSS) techniques were used to analyse data.

The results supported direct significant paths between innovation and technology transfer; technology transfer and productivity; and productivity and competitiveness. Furthermore, the results suggested that technology transfer and productivity consecutively fully mediate the relationship between innovation and competitiveness.

The use of a survey could not provide sufficient explanations as to why the variable examined related the way they did.

The study provides useful insights into the significance of considering the dimensions and methods of innovation and technology transfer in agricultural business activities and processes to improve productivity and competitiveness of SSABs.

The study provides some insights into how innovation and technology transfer could be employed by small scale agricultural businesses as critical mechanisms for heightening productivity and competitiveness of these firms to guarantee food security and employment creation for emerging economies.

To the researchers' knowledge, this is one of the pioneer studies to examine the impact of both innovation and technology transfer on productivity and competitiveness of SSABs in two countries in Southern Africa. The study also constitutes a significant contribution to examining serial mediation of technology transfer and productivity of innovation and competitiveness.

This paper aims to investigate the changes in travel patterns and tourist behavior due to the COVID-19 outbreak. This study realizes these changes and reports them to help restore tourism.

This applied study used library sources and a survey conducted through an online questionnaire. The questionnaire incorporated data from previous studies and the most recent online databases. Items were exploratory factors analyzed using the principal component method and varimax rotation. The interpretation of the data collected was consistent with the attributes the questionnaire was designed to measure.

The research findings show that health and safety have come to the forefront of travelers' needs. The hygiene and disinfection of tourism facilities have changed from hygiene factors to motivator factors. The extended length of trips is perceived as a risk to their health; hence travelers prefer to take shorter trips. They also rather get help from professionals to book their trips.

This research was conducted only in Iran, where travel restrictions were periodically put on and removed. If this study could be conducted in countries with no domestic travel restrictions, other valuable findings such as changes in consumer spending and preferences toward travelling and safety could be found.

This paper provides information on the latest changes to travel patterns and tourists' behavior which can be implied by DMOs (Destination Marketing Organization), governments and private tour operators to understand and consider travelers emerging needs.

This paper enables better planning and organization for the future and restart of tourism post-COVID-19.

The purpose of this paper is to profile wayfinders into homogeneous sub-groups according to their wayfinding ability, and to investigate the differences between the clusters identified and their evaluations of satisfaction.

This study uses survey data collected in a hospital in the Northern part of Italy. The survey questionnaire assessed the participants’ self-estimation of wayfinding ability in terms of wayfinding competence, wayfinding strategy and wayfinding anxiety, as well as the wayfinder’s satisfaction.

The findings propose that three factors, namely, individual orientation skills, confidence in servicescape elements and anxiety control, contribute to defining wayfinding ability. Based on these factors, cluster analysis reveals three profiles of wayfinders, as follows: the Easy Goings, the Do-it-yourselves and the Insecures. Group differentiation comes from wayfinding ability and customer satisfaction levels.

The results of this study advance the segmentation literature by analyzing different types of wayfinding ability that can lead to different satisfaction levels.

These findings will help service managers improve servicescape design and help them formulate effective targeting strategies.

While previous research outlined the importance of some factors such as gender differences, familiarity with the service environment and cognitive approaches, this study recommends the examination of the profile of visitors to the service setting to allow them to find their way more effectively.