Abstract
Hotels, like any other businesses in a given location, can be threatened by natural disasters, usually with significant and long-term consequences. The hotel industry is particularly vulnerable and exposed to the risk of property being physically damaged or completely destroyed. Apart from the physical damage, there is also an accompanying economic risk of the tourism sector suffering as tourists avoid areas affected by a disaster event. Therefore, hotels in the areas prone to natural disasters must ensure they are resilient enough to carry on through the turbulent period until regular business levels return. This study is based on survey responses of 63 hotel managers from the 12 European countries most frequently affected by natural disasters. The study relies on multi-capital predictor based approach and examines hotel resilience to natural disasters. It has been found that managers’ previous experience of a natural disaster, duration of managerial experience, and organizational category and size have a positive effect on hotel resilience. Moreover, hotels must anticipate such situations and continuously drill how to respond efficiently and adapt quickly in order to ensure business sustainability. Practical implications, study limitations and future research recommendations are also discussed.
1 Introduction
The number of international arrivals has been growing increasingly over the past decades. For example there were 0.52 billion arrivals in 1995, 0.8 billon in 2005 and 1.1 billion in 2013 [1]. As presented in the United Nations World Tourism Organization’s 2017 Annual Report, international tourism reached a milestone in the record year of 2017. Destinations worldwide welcomed over 1.3 billion international tourists, some 84 million more (or 7%) than in 2016. Europe was dominant in international travel in 2017 (671 million or 51% of all international tourist arrivals). This is an increase of 8% in comparison to 2016 and the forecast is also promising [2]. Since the global hotel industry comes under the umbrella of the tourism industry, it shares a similar numerical profile. Statistical research shows growth of the global hotel industry over the years with the revenue of 570.18 billion US$ in 2017 [2] making it one of the world’s fastest growing sectors with total retail value of around 500 billion US$ and accounting for around 5% of the global GDP [4].
Although tourism continues to be one of the best positioned economic sectors to strongly support society and our environment, this sector is also facing several challenges.As stated in the same UNWTO Annual Report, some of those challenges are related to safety and security concerns. Considering this, one of the top priorities for tourism development defined by the UNWTO was the promotion of safe and seamless travel [2]. Safety and security have been recognized as very important in tourism and the hotel industry [5], and often the first aspect people consider while travelling [6, 7].
While growth of the international tourism and hotel industries is good for worldwide economies it also exposes these sectors to new and varying risks and uncertain vulnerabilities [8] at the global level [9]. Additionally, remote and attractive destinations are usually high risk destinations with greater possibility of putting tourists at risk [10, 11].
Many scholars examined how the image of tourist destinations in terms of safety and security affect a tourist’s choices [6, 7, 11, 12, 13, 14, 15, 16]. As tourists prefer a safe place away from any type of hazards or disasters [17], these events mostly negatively affect their choices in the short or long term. Unfortunately, those events (e.g. natural disasters) are inevitable in this world [18]. However, despite the fact that perception of risk plays an important role in destination choice and intention to visit risky destinations, tourists still have a strong desire to explore the world and have proven to remain resilient during hard times [19]. On the other hand, it is evident that the tourism industry is becoming more and more vulnerable to natural disasters. Thus, managers also need to think about the safety of tourists who are at a destination in the time of such unpredictable events. This is why managers need to cultivate certain strategies and procedures in order to make their organization more resilient in such occasions. When developing new tourist destinations in locations with a significant likelihood of natural disaster occurrence, awareness and appropriate caution are essential in order to minimize possible negative consequences.
Being an integral part of the tourism industry, the hotel industry is also vulnerable to various types of hazards [20, 21, 22, 23] to the negative effect of disasters [24], and is highly vulnerable to crisis [20, 21]. As noted by Ritchie [10], those disaster effects cannot be avoided but just mitigated while property and, most importantly, human lives can be saved. Thus, the impact of natural disasters can be reduced if properly managed [22, 25]. Safety and security are essential for hotels in preventing death and injury for guests and employees, with multiple forms of hazards [26], while being safe from hazards is the priority for hotel guests [17].
Vulnerability of the hospitality and tourism sectors comes from the fact that employees and hotel guests are part of the tourist/hotel product itself [27], and therefore also at risk [22]. In other words, service delivery, its quality and overall customer experience are highly dependable on various external factors which can escalate quickly and without any warning.
Unfortunately, there are many forms of evidence of the negative effects of disasters, especially natural ones, on the hotel industry and hotels themselves [23, 28, 29, 30, 31, 32, 33]. These negative events have forced managers to think more strategically. They recognized the importance of following the rules and regulations that will make their hotels more resilient, and creating internal procedures to increase the safety of tourists and their employees. However, not all hotel managers are aware of this, so hotel organizations also differ in their level of resilience to natural disasters.
The aim of this research is to explore natural disaster resilience within the hotel industry in Europe. This research leans on the work of Brown et al. [29], and their study based on Disaster Resilience Framework from Hotels in the New Zealand hotel sector. Using the similar multi-capital based approach; the present study also covers a wide range of disaster resilience predictors, and therefore presents a follow up study with the evidence from a different continent. Given the small number of studies that have examined the relation between hotel’s natural disaster resilience and manager profile, this study should further contribute to the hotel and tourism industries in general by drawing attention to the importance of natural disaster resilience among European hoteliers.
2 Literature review
2.1 Natural Disasters
Natural disasters are catastrophic events resulting from environmental factors that cannot be controlled [23]. Similar explanation was given by Mileti [34] who describes a disaster as a natural phenomenon, i.e. natural hazards interact with environment, causing societal disruption. These natural disasters strike when people least expect, often without warning or enough time to prepare. According to EM-DAT classification [35], the main natural disaster subgroups include geophysical, meteorological, hydrological, climatological, biological and extraterrestrial events. They occur in various forms: earthquakes, tsunamis, volcano eruptions, hurricanes, typhoons, floods, wildfires, etc. Contrary to the aforementioned, Mileti [34] states that those disasters are predictable and avoidable to some extent. Brown et al. [22] also see disaster as a sudden and externally triggered event which affects society, requiring response and recovery. Perry and Quarantelly [36] look at disaster as an extreme event with a natural, technological and social causes that has numerous consequences, including disruption. They basically happen every year in some part of the world and affect hotel and tourism industry all the time. Moreover, Faulkner [9] states that tourism destinations in every part of the world are exposed to disasters.
One of the most complex definitions of natural disasters is set by the World Health Organization (WHO) in 1971 in their Guide to Sanitation in Natural Disasters: "A natural disaster is an act of nature of such magnitude as to create a catastrophic situation in which the day-to-day patterns of life are suddenly disrupted and people are plunged into helplessness and suffering, and, as a result, need food, clothing, shelter, medical and nursing care and other necessities of life, and protection against unfavorable environmental factors and conditions" [37, p.14].
Basically, all previous definitions of disaster contain disruption as a main element in their explanations. This is also noticed by Rodriguez et al. [38] who point out social disruption. As we intend to follow up the work done by Brown et al. [29], the current study is based on their definition of disaster and further discussions will refer to disaster as: “A sudden event where trigger is outside the current control of the affected area (community and/or business), the event disrupts the function of that area and requires additional resources (other than those available within the area) to respond to and recover from the event” [22, p.363].
The Munich Re NatCatSERVICE registered 850 events in 2018, and Europe was the third most affected continent (14%). The most frequent events were floods and landslides (46%), storms (42%), followed by extreme weather conditions and wildfires (7%) and earthquakes, tsunamis and volcanic eruptions (5%). Unfortunately, this distribution represents the long-term trend towards more frequent storms and floods [39].
2.2 Natural disaster resilience
Hotels continuously invest in disaster prone areas, where risks are high and disasters unpredictable, that leads to inappropriately addressed fundamental problems. Hotels can usually improve a destination’s disaster preparedness with access to an emergency response system [40]. However, The UNISDR Global Assessment Report 2013 reveals that the hotel industry is able to manage small disasters but not the extreme ones due to lack of the capabilities to reduce those risks and to stay prepared [41]. Moreover, as summarized by Brown et al. [22], the ability of hotels to upgrade its disaster preparedness is very limited.
In academic literature related to disasters, the definition of resilience is usually described as the ability to survive and overcome a disaster with as small impact and damage as possible [42] or to recover with minimal social disruptions [43]. Furthermore, the research on hazard resilience also includes prevention and preparedness for the disasters [43, 44, 45]. Interestingly, Mileti [34] describes sustainability, in the context of natural disasters, in a much similar way resilience is described nowadays, emphasizing the ability to tolerate and overcome damage caused by a large scale event. This ability is highly influenced by social and economic networks [46].
Among numerous definitions, the International Organization for Standardization (ISO) defines resilience as the adaptive capacity of an organization (or community) in a complex and changing environment [47]. An explanation of resilience given by UNISDR [48], has community and society in focus and their ability to resist and recover from disastrous events in a timely way, retaining all core functions. As an obvious overlapping point of the aforementioned definitions of resilience is the concept of community and its capacity to survive disruptions and disasters, to adapt and persist in its business activities.
With the aim of establishing this capacity, communities concentrated on creating capitals, primarily social and human. These capitals specifically aid a community in overcoming disastrous events [49]. Due to numerous suggested definitions, it is important to frame a definition as a foundation for the following discussion. Thus, in this study, the natural disaster resilience is referred to as the capacity or ability of a hotel to predict, prepare for it, act, and most importantly recover from its impacts.
Based on the extensive literature review regarding natural disaster resilience within the hotel industry it has been noted that previous experience in natural disasters represents one of the key elements that highly influence risk perception of such disastrous events [50]. Some studies [10, 41, 51, 52, 53, 54, 55] have found that previous experience positively affects disaster risk perception and generally enhances development of this segment of business practice. Therefore, two initial hypotheses can be proposed:
H1: Hotel managers who previously experienced natural disasters while being in managerial position have a better perception of natural disaster resilience.
H2: Hotel managers who previously experienced natural disasters in life generally have a better perception of natural disaster resilience. Although few scholars examined the relation between organizational age and crisis [56, 57, 58], none of those studies investigated the relation between managerial experience period and hotel resilience. Given that, for the purpose of this study another hypothesis is suggested:
H3: Hotel managers with longer managerial experience have a better perception of natural disaster resilience. Additionally, very few studies [41, 55, 57, 59, 60] have noted evidence regarding the link between organization size or hotel category and crisis planning. Thus, the following hypotheses related to organization size and hotel category and natural disaster resilience of hotels are proposed in this study:
H4: Higher hotel category positively affects the perceived level of natural disaster resilience.
H5: Larger organization size positively affects the perceived level of natural disaster resilience.
2.3 Capital predictors
This paper uses a multi-capital based approach [61] as a framework to assess natural disaster resilience within hotel industry. It focuses on five major and independent capitals: Economic (e.g. financial resources, diversity of income, savings, investments, credit availability, insurance coverage, etc.); Social (e.g. community and social networks and ties, external communication, norms, trust, capability to work as a group, etc.); Human (e.g. education field, education level, knowledge and skills, training, work and disaster experience, demographic characteristics, health, transportation options, etc.); Physical (e.g. local geography and environment characteristics, buildings, infrastructure – including roads, electricity, water supply, telephone coverage, emergency resources as police, hospitals, evacuation plans, etc.); and Natural (e.g. hotel location, environmental risks, natural resources, local eco systems, impact of hotel activities on destination sustainability, etc.). Some authors [22, 24, 29] additionally included in their research Cultural capital that primarily focuses on knowledge about local culture and cultural influence on social environment. According to some authors [62, 63], this cultural capital can be merged with social capital into Organizational capital. Following this practice and taking into account the feedback from field professionals during the instrument development, we also combined them in this study.
The main advantage of the multi-capital approach is the fact it includes the most important capitals necessary to understand and examine disaster resilience. Furthermore, each capital consists of different predictors that measure specific community resilience to natural disasters. These capitals, in the context of resilience, were a topic of many studies, summarized lately by Brown et al. [22] and Brown et al. [24], and used as a foundation for the research of the same authors [29].
Although practical and not very new, capital based approach is rarely used for research within the hotel industry. Moreover, the literature often presents this concept as closely related and linked to the concepts of sustainability and disaster resilience [34, 64]. Hence, it is interesting to note that literature on multi-capital approach in the hotel industry remains scarce.
3 Methodology
3.1 Study area
The hospitality sector is one of the main drivers of the European economy and tourism. This sector supports employment greatly and makes direct, indirect and induced contributions to the economies of European countries. Additionally, it supports 16.6 million jobs in Europe, 11.1 million jobs directly representing 7.8% of the European workforce or 80% of the total EU tourism workforce [65]. Newer studies showed a further industry growth - the industry alone provides 11.9 million jobs and created 1.6 million new jobs between 2013 and 2016. Together with tourism, it is the third largest socio-economic activity in Europe [66]. Moreover, the results from 2017 suggest favorable perspectives for European hoteliers - European hoteliers positioned on the economy segment posted the strongest growth [67]. This trend continued in 2018, as the European hotel industry was still growing healthily [68].
While the numbers representing industry growth have increased, the number and impacts of disasters have also increased in Europe in the last two decades, and in the period 1998-2009, disasters caused nearly 100.000 fatalities, affected more than 11 million people and led to economic losses of about EUR 150 billion. Major causes were extreme temperatures, floods, storms and earthquakes [69]. These natural disasters are unfortunately constant over the last years with wildfires being the fifth major natural disaster by occurrence [35].
Floods and storms in Europe accounted for 73% of the total economic damages for the period 1989-2008, being the major threat including heat waves [70], on the other hand, the deadliest disaster in Europe in 2018 was the wildfires in Greece [39].
From 1998 to 2017 climate-related and geophysical disasters killed over one million people and left more than 4 billion in need of emergency assistance. Although most of fatalities were due to geophysical disasters, mainly earthquakes and tsunamis, over 90% of all natural disasters were caused by floods, storms, droughts, heat waves and other extreme weather events. Furthermore, three European countries are among the top 10 countries in terms of absolute economic losses for the period 1998-2017, Germany (floods), Italy (earthquake), and France (storms), respectively. It is interesting that economic losses are significantly bigger in high income countries (65%), while fatalities are higher in countries with lower incomes (46%). For the mentioned period, Europe was significantly more affected by climate-related than geophysical disasters in any manner [71].
About 50% of global losses from natural disasters in 2018 were insured (Europe accounted for 8% of insured losses). Support by the insurance companies helped to increase natural disaster resilience, in other words, the ability to return to previous state as soon as possible. Moreover, developed countries account for the majority of insurance coverage regarding natural disasters. Thus, there has been a continuous growing interest in those countries to have an insurance against natural disasters [39].
3.2 Research instrument
This study is based on the survey conducted by Brown et al. [29] in order to determine disaster resilience in the hotel sector in New Zealand. Similar to the research concepts [29, 58], a few steps were undertaken to increase validity of the research. An extensive literature review and relevant studies were used to develop the survey instrument. The initial questionnaire was tested in a pilot study in December 2018 with ten hotel managers, and European professionals from relevant study area: tourism, insurance, marketing, psychology, security and geography. After receiving useful comments, the questionnaire adapted from [29] was modified; primarily, cultural capital was merged with social capital forming organizational capital. Similar was done by other authors [62, 63]. The question related to the number of years respondents have lived in a particular county was redesigned: I have lived in this country long enough to be familiar with its culture (cultural capital); and the sociodemographic part of the questionnaire was extended. The revised questionnaire was clearer, which improved completion process by reducing possible misunderstanding.
The final version of the questionnaire used in the study consists of two parts. The first part of the questionnaire focuses on 41 capital predictors representing economic (7), organizational (11), human (12), physical (7), and natural (4) capital resources. In this section of the questionnaire, respondents were asked to evaluate the level of agreement with capital predictors on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree).
The second part includes questions which examine the socio-demographic profile of the respondents (e.g. gender, age, work experience, etc.), hotel profile (e.g. location, category, etc.), as well as respondents’ experience with natural disasters.
3.3 Data collection and procedure
Using the EM-DAT database [35] the authors calculated the top 12 European countries in terms of number of natural disasters (those with over 20 recorded events), for the period 2000-2018 (Table 1). The most frequent recorded disasters include storms, floods, extreme weather conditions (cold or heat waves), ground movements and wildfires, respectively. Following that, two main pathways were used to reach hotel general managers in those countries: directly by the authors, and indirectly through National hotel associations. Both National hotel associations and hotel managers were contacted by email explaining the purpose of the study. National hotel associations were asked to forward the link to an online survey (Google Forms) to their members, or to complete the questionnaire in case of a direct contact with managers. The online survey was conducted from January to March 2019. National hotel associations were contacted in order to speed up the research process. Although this indirect contact was proven helpful, it was a limiting factor in calculating response rate,while the response rate from direct contact with hotels was 68%. A total of 63 surveys were completed and the collected data were processed with statistical software SPSS 23 using t-tests and ANOVA.
European countries with over 20 recorded natural disasters for the period 2000-2018.
| Rank | Country | Number of natural disasters |
|---|---|---|
| 1 | Russia | 97 |
| 2 | France | 73 |
| 3 | Italy | 63 |
| 4 | Romania | 49 |
| 5 | Germany | 45 |
| 6 | Great Britain | 41 |
| 7 | Greece | 35 |
| 8 | Bulgaria | 32 |
| 9 | Spain | 27 |
| 10 | Poland | 27 |
| 11 | Serbia | 23 |
| 12 | Belgium | 21 |
Source: Authors’ calculation based on [35].
3.4 Study sample
The sample consists of 63 hotel managers from 63 hotels located in 12 countries (Figure 1).

Spatial distribution of the study sample – the most affected European countries by natural disasters
Although hospitality industry is a sector being especially significant in the employment of women (up to 53.7% in comparison to the overall economy 46.1%) [72], surprisingly, in the present sample the share of female respondents was 60.3%. The most dominant age group was 36-50. Regarding work experience, those who have worked as a hotel manager from 10 to 15 years (38.1%) are the most numerous. Also, more than 45% of the respondents have more than 15 years of work experience in hospitality, and 76.2% of them have completed education in hospitality sector. Hotel managers from 4* hotels are predominant in the sample. The detailed characteristics of the sample are shown in Table 2.
Profile of the respondents and organizations (N=63)
| Gender (%) | Hotel category (%) | ||
| Female | 60.3 | *** | 34.9 |
| Male | 39.7 | **** | 38.1 |
| ***** | 27.0 | ||
| Age (%) | Work experience in hospitality sector (%) | ||
| 18-35 | 9.5 | Up to 3 | 6.4 |
| 36-50 | 55.6 | 3-5 | 7.9 |
| 51-65 | 34.9 | 5-10 | 4.8 |
| 10-15 | 33.3 | ||
| 15-20 | 23.8 | ||
| More than 20 | 23.8 | ||
| Education (%) | Work experience as hotel manager (%) | ||
| Bachelor | 42.9 | Up to 5 | 17.5 |
| Master | 57.1 | 5-10 | 23.8 |
| 10-15 | 38.1 | ||
| More than 15 | 20.6 | ||
| Education in hospitality sector (%) Previous experience with natural disasters in life generally (%) | |||
| Yes | 76.2 | Yes | 33.3 |
| No | 23.8 | No | 66.7 |
| Organisation | (hotel) size | Previous experience with natural disasters during career as hotel manager (%) | |
| Large | 15.6 | Yes 19.1 | |
| Medium | 57.2 | No | 80.9 |
| Small | 27.2 | ||
| Existence of law in respondent’s country that defines specific requirements or procedures for hotels regarding natural disasters (%) | |||
| Yes 27.4 | |||
| No 31.4 | |||
| I do not know 41.2 | |||
4 Results and discussion
4.1 Descriptive statistics
Descriptive statistics and Cronbach’s alpha coefficients for all analyzed constructs are presented in Table 3. The reliability analysis confirmed that all measures used in the study are reliable as Cronbach’s alpha (α) ranged from 0.702 to 0.823 [73, 74].
Descriptive statistics and reliability of the instruments
| Mean | Std. Deviation | α | |
|---|---|---|---|
| Economic capital predictors | 3.2880 | 0.72730 | 0.823 |
| Hotel has comprehensive multi-hazard insurance coverage | 4.1111 | 1.01776 | |
| Disaster management expense is significant part of the hotel budget | 2.6349 | 1.22213 | |
| Hotel has diverse customer base/markets | 3.9524 | 1.19715 | |
| Hotel marketing is aimed at strengthening a diverse customer base | 3.6984 | 1.04163 | |
| New opportunities for profit streams are constantly being sought | 4.0317 | 0.91525 | |
| I am satisfied with profitability in the last year | 3.6349 | 1.39471 | |
| I believe that financial reserves held by organization are sufficient | 3.5873 | 1.35164 | |
| Organizational capital predictors | 3.8268 | 0.77530 | 0.795 |
| Hotel takes a team approach to planning | 4.0476 | 1.18361 | |
| Ideas and input are valued by hotel leadership | 3.9841 | 1.03942 | |
| Staff socializing is encouraged through company activities | 3.5714 | 1.07335 | |
| Having well informed employees through media and networks is encouraged in this organization | 3.6984 | 1.10183 | |
| In my capacity as manager I work to build relationships with other organizations that may be needed in disaster | 3.3016 | 1.48796 | |
| People in this organization are committed to problem solving | 3.9365 | 0.99795 | |
| Hotel uses knowledge creativity | 3.9365 | 1.01398 | |
| We believe that our plans will work in a disaster | 3.9683 | 1.03942 | |
| Hotel leaders take thoughtful actions to resolve problems | 3.9843 | 1.10670 | |
| I identify myself as local resident | 3.8095 | 1.04507 | |
| I have lived in this country long enough to be familiar with its culture | 3.8571 | 1.02952 | |
| Human capital predictors | 3.5079 | 0.87037 | 0.714 |
| If key organizational people are unavailable there are always others who can fill their roles | 3.6825 | 1.20249 | |
| All employees participate in planning for disaster response | 2.9841 | 1.39691 | |
| All employees participate regularly in disaster response exercises | 3.6190 | 1.45279 | |
| Employees are available to work immediately following a disaster | 3.3016 | 1.37530 | |
| Employees are located/live close enough to walk to hotel if necessary, following a disaster | 2.7619 | 1.35259 | |
| Employees are skilled to provide adequate care for guests in a disaster | 3.7302 | 1.18057 | |
| Guests are provided regularly with information about lifesaving emergency procedures | 3.1270 | 1.51862 | |
| Hotel has all manual procedures in place for critical systems | 3.9683 | 1.24393 | |
| I have control over my life and circumstances | 3.8254 | 1.10044 | |
| CPR training gives employees skills necessary to act promptly in a disaster | 3.6825 | 0.94741 | |
| Hotel managers proactively monitor the industry to have an early warning of emerging potential problems | 3.5556 | 1.38864 | |
| Hotel managers proactively monitor natural hazard related announce- ments/reports to have an early warning of emerging potential problems | 3.8571 | 1.18943 | |
| Physical capital predictors | 3.9365 | 0.97863 | 0.815 |
| Equipment and resources for natural disaster response are ready for immediate deployment | 3.6349 | 1.26110 | |
| Evacuation plans are clear, easy to follow and in place at the hotel | 4.3810 | 1.06904 | |
| Sufficient back-up power generation capabilities available at the hotel | 3.6825 | 1.44608 | |
| Sufficient water and food supplies for emergency use are available at the hotel | 3.5079 | 1.49054 | |
| Hotel is in compliance with local building codes | 4.6032 | 0.95950 | |
| All critical organizational data is backed up and/or printed regularly | 3.9365 | 1.06063 | |
| Critical systems have sufficient redundancies to get us back to business fast | 3.8095 | 1.37790 | |
| Natural capital predictors | 3.7857 | 1.04327 | 0.702 |
| Hotel location is exposed to natural hazard risk* | 3.7302 | 1.06569 | |
| Staff and guests can quickly evacuate from the hotel to a safe location if needed | 3.8730 | 1.23774 | |
| This hotel participates in protection of eco-system regularly | 3.6667 | 1.17775 | |
| The impact of our business on the local (natural) environment is an important part of hotel policies | 3.8730 | 1.23774 | |
*reverse scored predictor
The results reveal that respondents gave the highest marks to Physical capital predictors (M=3.9365; SD=0.97863) and Organizational capital predictors (M=3.8268; SD=0.77530). Similar findings were reported in the research conducted by Brown et al. [29] within the hotel sector in New Zealand. In that study, hotel managers highly ranked evacuation plans, local building codes and backup of all critical organizational data.
Also, many of the organizational capital predictors obtained a relatively high mark which implies that managers are dedicated to the organization they work for, especially to team approach to planning, leadership and problem solving. This is of a great importance for each organization because it is crucial to its success how they perform during crisis caused by external events [75].
Economic capital predictors (M=3.2880; SD=0.72730) received the lowest score among all examined predictors. The major effect on such outcome had a predictor Disaster management expense is significant part of the hotel budget (M=2.6349; SD=1.22213). Despite of having comprehensive multi-hazard insurance coverage (M=4.1111; SD=1.01776), many of the surveyed hotels do not invest significantly in disaster management, i.e. such expenses are just a small share of their budget. One of the primary reasons for this is the financial situation of the organization [60].
These results are not in favor of hotel resilience knowing that the economic opportunities can greatly reduce the negative effect of disasters and make communities more resilient [61]. An additional unfavorable fact regarding hotel resilience is that more than 40% of hotel managers do not know whether any law in their country defines specific requirements or procedures for hotels regarding natural disasters, while one third of them state that such regulations do not exist.
4.2 The independent variables and hotel resilience
T-test for independent samples was applied with the aim to compare arithmetic means of two groups – independent variables (experience with a disaster as hotel manager and general experience with a disaster) and dependent variables (economic, organizational, human, physical and natural capital predictors).
Based on the obtained results, it is concluded that there are statistically significant differences in relation to previous experience with a disaster as hotel manager (Figure 2), with three capital predictors: organizational (p=0.045, t=2.052), human (p=0.006; t=2.842) and physical (p=0.040; t=2.094) and therefore H1 can be partially accepted. Hotel managers that have previous experience with a natural disaster give higher grades than the others. Similarly, those respondents who generally had experience with a disaster in the past (Figure 3), before they became hotel managers, give significantly higher scores to all five groups of capital predictors (economic capital predictors p=0.013; t=2.557; organizational capital predictors; p=0.017, t=2.457; human capital predictors p=0.001, t=3.157; physical capital predictors p=0.001, t=3.157; natural capital predictors p=0.002, t=3.352), which indicates that H2 can be accepted. Having experienced manager at top position is very important especially for individual and small hotels knowing that such hotels mainly rely on their own experience in dealing with emergency situations [41]. Additionally, it is worth mentioning that statistically significant differences in responses between managers with different type of experience with natural disaster have not been found in this study.

The relation between previous experience with natural disasters as hotel manager and hotel resilience

The relation between general experience with natural disasters and hotel resilience
Recent studies investigated previous experience in natural disasters and concluded that it represents a factor that highly affects risk perception of such natural events [50]. In line with our findings, some scholars [10, 52, 53] have noted that previous experience positively correlates with disaster risk perception (e.g. people who had such experience are more prepared and can react better in case of new disastrous event), others conclude that people who do not have direct experience of dealing with disasters, usually tend to underestimate them [51] and the seriousness of the situation they create. Similarly, organizations that experienced natural disasters in the past, and learnt the hard way their effects, are more likely to develop this segment of business activity. This includes emergency plans, communication, redistribution of available resources, marketing, etc. [10, 54, 55].
By applying the one-way analysis of variance ANOVA the existence of statistically significant connection between dependant variables (economic, organizational, human, physical and natural capital predictors) and independent variables (managerial experience period, hotel category and organization size) was examined. The relation between organizational age and crisis was explored by a few scholars [56, 57, 58]. However, none of them addressed the relation between managerial experience period and hotel resilience (Figure 4), as explored in this study. As the initial analysis pointed to statistically significant difference in answers regarding human capital predictors (p=0.004; F=5.021) and physical capital predictors (p=0.024; F=3.381) the hypothesis H3 can be partially accepted. The performed LSD post hoc test clearly revealed that respondents with more than 10 years of managerial experience within hotel industry rewarded those predictors with higher scores, i.e. hotels they work for are more resilient to natural disasters. The significance of managerial experience is crucial in these situations as sometimes organizations rely only on that [41]. Moreover, those with higher resilience tend to be less affected [76] and more able to manage disruptive challenges [77]. This is somehow expected since education and experience positively influence technical, social and conceptual knowledge and skills of managers [78].

The relation between managerial experience period and hotel resilience
The results also greatly differ in relation to hotel category (Figure 5) and hotel (organization) size (Figure 6). Statistically significant difference was noted for the same capital predictors; human capital (p=0.010; F=4.974; p=0.000; F=10.956) and physical capital (p=0.005; F=5.787; p=0.000; F=11.865), which led to partial acceptances of hypotheses H4 and H5. Managers of 5* hotels and those who work in large and medium hotels are more oriented towards human and physical capitals. Some studies have provided evidence that supports our findings concerning the link between organization size and hotel category, and crisis planning [56, 58, 59, 60]. Furthermore, Caponigro [60] states that large organizations are in a better position due to their financial profile and it is more probable for them to have an emergency plan in comparison to small organizations which believe that such crisis will not affect them. Although organization size is usually classified according to the number of employees [56], in this study we applied the hotel size classification suggested by Davidson [79] as follows: small (up to 10 rooms), medium (up to 50 rooms), and large (over 50 rooms).

The relation between hotel category and hotel resilience

The relation between organization size and hotel resilience
5 Conclusion
Taking into account the fact that the number of tourists affected by natural disasters is high, the importance of providing information that can influence the mitigation of the consequences of natural disasters to the local community and hotels, is gaining in importance. Hotels have a very important role in raising awareness in the local community about the importance of planning activities to reduce the harmful effects of natural disasters. The ability of hotel managers to preserve the material and human resources in the emergency situations and re-establish the functioning of business processes in the hotel, improves organizational resilience. The use of a multi-capital based approach to investigate the resilience of the hotel sector in the event of natural disasters provides a comprehensive assessment of the factor aimed at raising the hotel’s ability to respond to challenges posed by emergencies and to return to operational status.
The results of this paper show that hotels run by managers who have previous experience with natural disasters, or by managers with longer internship in the hotel industry, show a higher degree of resilience compared to the others. Such managers are much more aware of the importance of investing in the resilience of the hotel, and thus invest in the necessary procedures and allocate financial resources for these purposes. Statistically significant differences in answers of managers have been noted in relation to the category and size of the hotel. Larger hotels and those with higher category are more resilient. Hence, recommendations for managers of smaller and lower category hotels are to have a more comprehensive perception of natural disaster risks and to adjust the costs of managing such risks accordingly, within a long term strategy. Also, it is necessary to develop natural disaster risk management models and to establish internationally recognized standards that would increase the degree of compliance of hotels and therefore their resilience. In this case, hotel resilience would not depend so much on the profile of a manager.
These standards should be flexible enough to reflect the needs of the local community and focus on raising awareness through staff training to encourage effective adoption of the proposed measures. In addition, it is necessary to define the leaders in the hotel industry at the local level which would be the starting point for the development and implementation of the standards. Creating partnerships between government organizations, the public and the private sector in order to promote cooperative and coordinated programs for recovery from the consequences of natural disasters, at the levels of both the hotel organization and at the local community, would contribute to the sustainable management of natural hazards.
This study has certain limitations that should be mentioned. First, the sample includes a smaller share of managers who have had experience with natural disasters during their hospitality career or generally in life. In this respect, the sample should be stratified, leading to an equal number of respondents in both groups. Secondly, as a lack of research, a cross-sectional approach to research can be indicated. Thus, the longitudinal approach should be considered in order to study hotel resilience over a certain period of time. This traceability would make it possible to draw conclusions about the causal relationships between different variables, or the causes that affect the resilience of hotels.
Future research into the resilience of hotels to natural disasters should include other independent variables that are not included in this research such as the type of hotel (e.g. business, resort, individual or within a chain, etc.) and the age of the organization. Also, comparing the organizational resilience with respect to the type and frequency of the occurrence of natural disasters would show interesting results. Lastly, similar study should be conducted in other European countries, even in those with less frequently reported natural disasters because such disastrous events can happen rarely but can leave long-lasting consequences on hotel industry and tourism sector in general.
Acknowledgement
This research was supported by Project 142-451-2465/2018-03 financed by the Provincial Secretariat for Science and Technological Development, Vojvodina Province, Serbia.
References
[1] https://data.worldbank.org/indicator/st.int.arvlSuche in Google Scholar
[2] http://publications.unwto.org/publication/unwto-annual-report-2017Suche in Google Scholar
[3] https://www.statista.com/statistics/247264/total-revenue-of-the-global-hotel-industry/Suche in Google Scholar
[4] https://www.soegjobs.com/2018/05/09/hotel-industry-analysis-market-statistics/Suche in Google Scholar
[5] AlBattat A.R., Mat Som A.P., Emergency preparedness for disasters and crises in the hotel industry. Sage Open, 2013, 3(3), 1-1010.1177/2158244013505604Suche in Google Scholar
[6] Pizam A., Tarlow P.E., Bloom J., Making tourists feel safe: Whose responsibility is it?. J. Travel Res., 1997, 36(1), 23-2810.1177/004728759703600104Suche in Google Scholar
[7] Rittichainuwat B.N., Understanding perceived travel risk differences between first time and repeat travelers. In: Forum proceedings, 3rd Global summit on peace through tourism – education forum“One earth one family: Travel & Tourism – serving a higher purpose”, Pattaya, 2005, 96-107Suche in Google Scholar
[8] Prideaux B., The need to use disaster planning frameworks to respond to major tourism disasters: Analysis of Australia’s response to tourism disasters in 2001. J. Travel Tour. Mark., 2004, 15(4), 281-29810.1300/J073v15n04_04Suche in Google Scholar
[9] Faulkner B., Towards a framework for tourism disaster management. Tourism Manage., 2001, 22(2),135-4710.1016/B978-0-08-044000-2.50016-XSuche in Google Scholar
[10] Ritchie B.W., Chaos, crises and disasters: a strategic approach to crisis management in the tourism industry. Tourism Manage., 2004, 25(6), 669-68310.1016/j.tourman.2003.09.004Suche in Google Scholar
[11] Rittichainuwat B.N., Tourists’ and tourism suppliers’ perceptions toward crisis management on tsunami. Tourism Manage., 2013, 34,112-2110.1016/j.tourman.2012.03.018Suche in Google Scholar
[12] Reisinger Y., Mavondo F., Travel anxiety and intentions to travel internationally: Implications of travel risk perception. J. Travel Res., 2005, 43(3), 212-22510.1177/0047287504272017Suche in Google Scholar
[13] Sönmez S.F., Graefe A.R., Determining future travel behavior from past travel experience and perceptions of risk and safety. J. Travel Res., 1998, 37(2), 171-17710.1177/004728759803700209Suche in Google Scholar
[14] Thapa B., Holland S.M., Absher J.D., Perceived risk, attitude, knowledge, and reactionary behaviors toward wildfires among Florida tourists. Fire social science research from the Pacific Southwest research station: Studies supported by national fire plan funds, Albany, 2008Suche in Google Scholar
[15] Tsai C.H., Wu T.C., Wall G., Linliu S.C., Perceptions of tourism impacts and community resilience to natural disasters. Tourism Geogr., 2016,18(2),152-17310.1080/14616688.2016.1149875Suche in Google Scholar
[16] Becken S., Hughey K.F., Linking tourism into emergency management structures to enhance disaster risk reduction. Tourism Manage., 2013, 36,77-8510.1016/j.tourman.2012.11.006Suche in Google Scholar
[17] Enz C.A., The physical safety and security features of US hotels. Cornell Hosp. Q., 2009, 50(4), 553-56010.1177/1938965509345963Suche in Google Scholar
[18] Brown J., Environmental threats. Belhaven Press, London, 1989Suche in Google Scholar
[19] https://www2.deloitte.com/content/dam/Deloitte/us/Documents/consumer-business/us-cb-2018-travel-hospitality-industry-outlook.pdfSuche in Google Scholar
[20] Henderson J.C, Ng A., Responding to crisis: severe acute respiratory syndrome (SARS) and hotels in Singapore. Int. J. Tour. Res., 2004, 6(6), 411-41910.1002/jtr.505Suche in Google Scholar
[21] Santana G., Crisismanagement and tourism: Beyond the rhetoric. J. Travel Tour. Mark., 2004, 15(4), 299-32110.1300/J073v15n04_05Suche in Google Scholar
[22] Brown N.A., Rovins J.E., Feldmann-Jensen S., Orchiston C., Johnston D., Exploring disaster resilience within the hotel sector: a systematic review of literature. Int. J. Disast. Risk. Re., 2017, 22, 362-37010.1016/j.ijdrr.2017.02.005Suche in Google Scholar
[23] Lamanna Z., Williams K.H., Childers C., An assessment of resilience: Disaster management and recovery for greater New Orleans’ hotels. J. Hum. Resour. Hosp.Tour., 2012, 11(3), 210-22410.1080/15332845.2012.668653Suche in Google Scholar
[24] Brown N.A., Orchiston C., Rovins J.E., Feldmann-Jensen S., Johnston D., An integrative framework for investigating disaster resilience within the hotel sector. J. Hosp. Tourism. Manage., 2018, 36, 67-7510.1016/j.jhtm.2018.07.004Suche in Google Scholar
[25] Leung P., Lam T., Crisis management during the SARS threat: A case study of the metropole hotel in Hong Kong. J. Hum. Resour. Hosp. Tourism., 2004, 3(1), 47-5710.1300/J171v03n01_05Suche in Google Scholar
[26] Enz C.A., Taylor M.S., The safety and security of US hotels a post-September-11 report. Cornell Hotel Rest. A., 2002, 43(5), 119-13610.1016/S0010-8804(02)80062-3Suche in Google Scholar
[27] Malhotra R., Venkatesh U., Pre-crisis period planning: lessons for hospitality and tourism. W. Hosp. Tourism Them., 2009, 1(1), 66-7410.1108/17554210910949896Suche in Google Scholar
[28] Henderson J.C., Corporate social responsibility and tourism: Hotel companies in Phuket, Thailand, after the Indian Ocean tsunami. Int. J. Hosp. Manage., 2007, 26(1), 228-23910.1016/j.ijhm.2006.02.001Suche in Google Scholar
[29] Brown N.A., Rovins J.E., Feldmann-Jensen S., Orchiston C., Johnston D., Measuring disaster resilience within the hotel sector: An exploratory survey of Wellington and Hawke’s Bay, New Zealand hotel staff and managers. Int. J. Disast. Risk. Re., 2019, 33, 108-12110.1016/j.ijdrr.2018.09.014Suche in Google Scholar
[30] Orchiston C., Higham J.E., Knowledge management and tourism recovery (de) marketing: The Christchurch earthquakes 2010– 2011. Curr. Issues Tour., 2016, 19(1), 64-8410.1080/13683500.2014.990424Suche in Google Scholar
[31] Pearlman D., Melnik O., Hurricane Katrina’s effect on the perception of New Orleans leisure tourists. J. Travel Tour. Mark., 2008, 25(1), 58-6710.1080/10548400802164905Suche in Google Scholar
[32] Singal M, Wokutch RE, Ho S, Murrmann SK. Coping with Katrina: Fairmont’s response to Hurricane Katrina. Bus. Case J., 2010, 17(2)Suche in Google Scholar
[33] Thompson D., Muriel P., Russell D., Osborne P., Bromley A., Rowland M., Creigh-Tyte S., Brown C., Economic costs of the foot and mouth disease outbreak in the United Kingdom in 2001. Rev. Sci. Tech., 2002, 21(3), 675-68510.20506/rst.21.3.1353Suche in Google Scholar PubMed
[34] Mileti D., Disasters by design: A reassessment of natural hazards in the United States. Joseph Henry Press, Washington, 1999Suche in Google Scholar
[35] www.emdat.beSuche in Google Scholar
[36] Perry R.W., Quarantelli E.L., What is a disaster? more perspectives. Xlibris, Philadelphia, 200410.4324/9780203984833Suche in Google Scholar
[37] https://www.who.int/environmental_health_emergencies/natural_events/en/Suche in Google Scholar
[38] Rodriguez H., Trainor J., Quarantelli E.L., Rising to the challenges of a catastrophe: The emergent and prosocial behavior following Hurricane Katrina. Ann. Am. Acad. Polit. S.S., 2006, 604(1), 82-10110.1177/0002716205284677Suche in Google Scholar
[39] https://www.preventionweb.net/news/view/62995Suche in Google Scholar
[40] http://www.drdm.gov.sc/wp-content/uploads/2016/12/A-Guide-to-Tsunamis-for-Hotels.pdfSuche in Google Scholar
[41] UNISDR, PATA & GIDRM, Developing strategies to strengthen the resilience of hotels to disasters: A scoping study to guide the development of the Hotel Resilient Initiative: The United Nations Office for Disaster Risk Reduction, 2015Suche in Google Scholar
[42] Berke P.R., Campanella T.J., Planning for postdisaster resiliency. Ann. Am. Acad. Polit. S. S., 2006, 604(1), 192-20710.1177/0002716205285533Suche in Google Scholar
[43] Tierney K., Bruneau M., Conceptualizing and measuring resilience: A key to disaster loss reduction. TR news, May-June, 250, 2007, 14-17Suche in Google Scholar
[44] Bruneau M., Chang S.E., Eguchi R.T., Lee G.C., O’Rourke T.D., Reinhorn A.M., Shinozuka M., Tierney K., Wallace W.A., Von Winterfeldt D., A framework to quantitatively assess and enhance the seismic resilience of communities. Earthq. Spectra., 2003, 19(4), 733-75210.1193/1.1623497Suche in Google Scholar
[45] Cutter S.L., Barnes L., Berry M., Burton C., Evans E., Tate E., Webb J., A place-based model for understanding community resilience to natural disasters. Global. Environ. Chang., 2008, 18(4), 598-60610.1016/j.gloenvcha.2008.07.013Suche in Google Scholar
[46] Stewart G.T., Kolluru R., Smith M., Leveraging public-private partnerships to improve community resilience in times of disaster. Int. J. Phys. Distr. Log., 2009, 39(5), 343-36410.1108/09600030910973724Suche in Google Scholar
[47] https://www.iso.org/publication/PUB100394.htmlSuche in Google Scholar
[48] https://reliefweb.int/sites/reliefweb.int/files/resources/ScopingStudy_HotelResilientInitiative_0.pdfSuche in Google Scholar
[49] Callaghan E.G., Colton J., Building sustainable and resilient communities: a balancing of community capital. Environ. Dev. Sustain., 2008, 10(6), 931-94210.1007/s10668-007-9093-4Suche in Google Scholar
[50] Bronfman N.C., Cisternas P.C., López-Vázquez E., Cifuentes L.A., Trust and risk perception of natural hazards: implications for risk preparedness in Chile. Nat. Hazards, 2016, 81(1), 307-32710.1007/s11069-015-2080-4Suche in Google Scholar
[51] Ruin I., Gaillard J.C., Lutoff C., How to get there? Assessing motorists’ flash flood risk perception on daily itineraries. Environ. Hazards, 2007, 7(3), 235-24410.1016/j.envhaz.2007.07.005Suche in Google Scholar
[52] Plapp T., Werner U., Understanding risk perception from natural hazards: examples from Germany. In: Ammann, W.J., Dannenmann, S., Vulliet, L. (Eds.), Proceedings of The RISK 21-coping with risks due to natural hazards in the 21st century, Monte Verità, Ascona, 2006, 1, 111-118Suche in Google Scholar
[53] Miceli R., Sotgiu I., Settanni M., Disaster preparedness and perception of flood risk: A study in an alpine valley in Italy. J. Environ. Psychol., 2008, 28(2),164-17310.1016/j.jenvp.2007.10.006Suche in Google Scholar
[54] Guth D.W., Organizational crisis experience and public relations roles. Public Relat. Rev., 1995, 21(2),123-13610.1016/0363-8111(95)90003-9Suche in Google Scholar
[55] Pearson C.M., Mitroff I.I., From crisis prone to crisis prepared: A framework for crisis management. Acad. Manage. Perspect., 1993, 7(1), 48-5910.4324/9780429282515-14Suche in Google Scholar
[56] Sheaffer Z., Mano-Negrin R., Executives’ orientations as indicators of crisis management policies and practices. J. Manage. Stud., 2003, 40(2), 573-60610.1111/1467-6486.00351Suche in Google Scholar
[57] Yasuda T., Firm growth, size, age and behavior in Japanese manufacturing. Small. Bus. Econ., 2005, 24(1), 1-510.1007/s11187-005-7568-ySuche in Google Scholar
[58] Ritchie B.W., Bentley G., Koruth T., Wang J., Proactive crisis planning: lessons for the accommodation industry. Scand. J. Hosp. Tour., 2011, 11(3), 367-38610.1080/15022250.2011.600591Suche in Google Scholar
[59] Huang Y.H., Su S.H., Determinants of consistent, timely, and active responses in corporate crises. Public Relat. Rev., 2009, 35(1), 7-1710.1016/j.pubrev.2008.09.020Suche in Google Scholar
[60] Caponigro J.R., The crisis counselor: A step by step guide to managing a business crisis. NTC Contemporary Publishing Group, Chicago, 2000Suche in Google Scholar
[61] Mayunga J.S., Understanding and applying the concept of community disaster resilience: a capital-based approach. In: Proceedings of the Summer academy for social vulnerability and resilience building, Munich, 2007, 1(1), 1-6Suche in Google Scholar
[62] Kwok A.H., Doyle E.E., Becker J., Johnston D., Paton D., What is ‘social resilience’? Perspectives of disaster researchers, emergency management practitioners, and policymakers in New Zealand. Int. J. Disast. Risk. Re., 2016, 19, 197-21110.1016/j.ijdrr.2016.08.013Suche in Google Scholar
[63] Lee A.V., Vargo J., Seville E., Developing a tool to measure and compare organizations’ resilience. Nat. Hazards. Rev., 2013, 14(1), 29-4110.1061/(ASCE)NH.1527-6996.0000075Suche in Google Scholar
[64] Smith R., Simard C., Sharpe A., A proposed approach to environment and sustainable development indicators based on capital. The National Round Table on the Environment and the Economy’s Environment and Sustainable Development Indicators Initiative, Canada, 2001Suche in Google Scholar
[65] https://www.ey.com/Publication/vwLUAssets/The_Hospitality_Sector_in_Europe/$FILE/EY_The_Hospitality_Sector_in_Europe.pdfSuche in Google Scholar
[66] https://www.hotrec.eu/wp-content/customer-area/storage/b22e7ab6a59e558c90b26b9c12059ffd/D-0219-039-Press-release-EP-event-20-February.pdfSuche in Google Scholar
[67] https://www.hotrec.eu/wp-content/customer-area/storage/6d2398ed201e574d2ca606be1cbd2975/HOTREC-Annual-Report-2016-2017.pdfSuche in Google Scholar
[68] https://www.europeancitiesmarketing.com/the-european-hotel-industry-on-first-quarter-of-2018-is-still-growing-healthily/Suche in Google Scholar
[69] https://www.eea.europa.eu/highlights/natural-hazards-and-technological-accidentsSuche in Google Scholar
[70] https://www.unisdr.org/archive/8867Suche in Google Scholar
[71] https://www.unisdr.org/files/61119_credeconomiclosses.pdfSuche in Google Scholar
[72] https://www.hotrec.eu/facts-figures/Suche in Google Scholar
[73] van Griethuijsen R.A., van Eijck M.W., Haste H., den Brok P.J., Skinner N.C., Mansour N., Gencer A.S, BouJaoude S., Global patterns in students’ views of science and interest in science. Res. Sci. Educ., 2015, 45(4), 581-60310.1007/s11165-014-9438-6Suche in Google Scholar
[74] Hinton P.R., McMurray I., Brownlow C., SPSS explained. Routledge, 201410.4324/9781315797298Suche in Google Scholar
[75] Cho T.S., Hambrick D.C., Attention as the mediator between top management team characteristics and strategic change: The case of airline deregulation. Organ. Sci., 2006, 17(4), 453-46910.1287/orsc.1060.0192Suche in Google Scholar
[76] Wisner B., Blaikie P.M., Blaikie P., Cannon T., Davis I., At risk: natural hazards, people’s vulnerability and disasters. Routledge, London, 200410.4324/9780203974575Suche in Google Scholar
[77] Durodié B., Is real resilience attainable?. Homel. Secur. Res. Mon., 2003, 2(6), 15-19Suche in Google Scholar
[78] Umoh G.I., Amah E., Wokocha H.I., Management development and organizational resilience: A case study of some selected manufacturing firms in Rivers State, Nigeria. J. Bus. Manag., 2014,16(2), 7-1610.9790/487X-16230716Suche in Google Scholar
[79] Davidson R., Tourism in Europe. Pitman Publishing, London, 1992Suche in Google Scholar
© 2019 M. Ivkov et al., published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 Public License.
Artikel in diesem Heft
- Regular Articles
- 2D Seismic Interpretation of the Meyal Area, Northern Potwar Deform Zone, Potwar Basin, Pakistan
- A new method of lithologic identification and distribution characteristics of fine - grained sediments: A case study in southwest of Ordos Basin, China
- Modified Gompertz sigmoidal model removing fine-ending of grain-size distribution
- Diagenesis and its influence on reservoir quality and oil-water relative permeability: A case study in the Yanchang Formation Chang 8 tight sandstone oil reservoir, Ordos Basin, China
- Evaluation of AHRS algorithms for Foot-Mounted Inertial-based Indoor Navigation Systems
- Identification and evaluation of land use vulnerability in a coal mining area under the coupled human-environment
- Hydrocarbon Generation Potential of Chia Gara Formation in Three Selected Wells, Northern Iraq
- Source Analysis of Silicon and Uranium in uranium-rich shale in the Xiuwu Basin, Southern China
- Lithologic heterogeneity of lacustrine shale and its geological significance for shale hydrocarbon-a case study of Zhangjiatan Shale
- Characterization of soil permeability in the former Lake Texcoco, Mexico
- Detrital zircon trace elements from the Mesozoic Jiyuan Basin, central China and its implication on tectonic transition of the Qinling Orogenic Belt
- Turkey OpenStreetMap Dataset - Spatial Analysis of Development and Growth Proxies
- Morphological Changes of the Lower Ping and Chao Phraya Rivers, North and Central Thailand: Flood and Coastal Equilibrium Analyses
- Landscape Transformations in Rapidly Developing Peri-urban Areas of Accra, Ghana: Results of 30 years
- Division of shale sequences and prediction of the favorable shale gas intervals: an example of the Lower Cambrian of Yangtze Region in Xiuwu Basin
- Fractal characteristics of nanopores in lacustrine shales of the Triassic Yanchang Formation, Ordos Basin, NW China
- Selected components of geological structures and numerical modelling of slope stability
- Spatial data quality and uncertainty publication patterns and trends by bibliometric analysis
- Application of microstructure classification for the assessment of the variability of geological-engineering and pore space properties in clay soils
- Shear failure modes and AE characteristics of sandstone and marble fractures
- Ice Age theory: a correspondence between Milutin Milanković and Vojislav Mišković
- Are Serbian tourists worried? The effect of psychological factors on tourists’ behavior based on the perceived risk
- Real-Time Map Matching: A New Algorithm Integrating Spatio-Temporal Proximity and Improved Weighted Circle
- Characteristics and hysteresis of saturated-unsaturated seepage of soil landslides in the Three Gorges Reservoir Area, China
- Petrographical and geophysical investigation of the Ecca Group between Fort Beaufort and Grahamstown, in the Eastern Cape Province, South Africa
- Ecological risk assessment of geohazards in Natural World Heritage Sites: an empirical analysis of Bogda, Tianshan
- Integrated Subsurface Temperature Modeling beneath Mt. Lawu and Mt. Muriah in The Northeast Java Basin, Indonesia
- Go social for your own safety! Review of social networks use on natural disasters – case studies from worldwide
- Forestry Aridity Index in Vojvodina, North Serbia
- Natural Disasters vs Hotel Industry Resilience: An Exploratory Study among Hotel Managers from Europe
- Using Monarch Butterfly Optimization to Solve the Emergency Vehicle Routing Problem with Relief Materials in Sudden Disasters
- Potential influence of meteorological variables on forest fire risk in Serbia during the period 2000-2017
- Controlling factors on the geochemistry of Al-Shuaiba and Al-Mejarma coastal lagoons, Red Sea, Saudi Arabia
- The Influence of Kaolinite - Illite toward mechanical properties of Claystone
- Two critical books in the history of loess investigation: ‘Charakteristik der Felsarten’ by Karl Caesar von Leonhard and ‘Principles of Geology’ by Charles Lyell
- The Mechanism and Control Technology of Strong Strata Behavior in Extra-Thick Coal Seam Mining Influenced by Overlying Coal Pillar
- Shared Aerial Drone Videos — Prospects and Problems for Volunteered Geographic Information Research
- Stable isotopes of C and H in methane fermentation of agriculture substrates at different temperature conditions
- Prediction of Compression and Swelling Index Parameters of Quaternary Sediments from Index Tests at Mersin District
- Detection of old scattered windthrow using low cost resources. The case of Storm Xynthia in the Vosges Mountains, 28 February 2010
- Remediation of Copper and Zinc from wastewater by modified clay in Asir region southwest of Saudi Arabia
- Sedimentary facies of Paleogene lacustrine dolomicrite and implications for petroleum reservoirs in the southern Qianjiang Depression, China
- Correlation between ore particle flow pattern and velocity field through multiple drawpoints under the influence of a flexible barrier
- Atmospheric refractivity estimation from AIS signal power using the quantum-behaved particle swarm optimization algorithm
- A geophysical and hydro physico-chemical study of the contaminant impact of a solid waste landfill (swl) in King Williams’ Town, Eastern Cape, South Africa
- Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs
- A Study on Transient Electromagnetic Interpretation Method Based on the Seismic Wave Impedance Inversion Model
- Stratigraphy of Architectural Elements of a Buried Monogenetic Volcanic System
- Variable secondary porosity modeling of carbonate rocks based on μ-CT images
- Traditional versus modern settlement on torrential alluvial fans considering the danger of debris flows: a case study of the Upper Sava Valley (NW Slovenia)
- The Influence of Gangue Particle size and Gangue Feeding Rate on Safety and Service Life of the Suspended Buffer’s Spring
- Research on the Transition Section Length of the Mixed Workface Using Gangue Backfilling Method and Caving Method
- Rainfall erosivity and extreme precipitation in the Pannonian basin
- Structure of the Sediment and Crust in the Northeast North China Craton from Improved Sequential H-k Stacking Method
- Planning Activities Improvements Responding Local Interests Change through Participatory Approach
- GIS-based landslide susceptibility mapping using bivariate statistical methods in North-western Tunisia
- Uncertainty based multi-step seismic analysis for near-surface imaging
- Deformation monitoring and prediction for residential areas in the Panji mining area based on an InSAR time series analysis and the GM-SVR model
- Statistical and expert-based landslide susceptibility modeling on a national scale applied to North Macedonia
- Natural hazards and their impact on rural settlements in NE Romania – A cartographical approach
- Rock fracture initiation and propagation by mechanical and hydraulic impact
- Influence of Rapid Transit on Accessibility Pattern and Economic Linkage at Urban Agglomeration Scale in China
- Near Infrared Spectroscopic Study of Trioctahedral Chlorites and Its Remote Sensing Application
- Problems with collapsible soils: Particle types and inter-particle bonding
- Unification of data from various seismic catalogues to study seismic activity in the Carpathians Mountain arc
- Quality assessment of DEM derived from topographic maps for geomorphometric purposes
- Remote Sensing Monitoring of Soil Moisture in the Daliuta Coal Mine Based on SPOT 5/6 and Worldview-2
- Utilizing Maximum Entropy Spectral Analysis (MESA) to identify Milankovitch cycles in Lower Member of Miocene Zhujiang Formation in north slope of Baiyun Sag, Pearl River Mouth Basin, South China Sea
- Stability Analysis of a Slurry Trench in Cohesive-Frictional Soils
- Integrating Landsat 7 and 8 data to improve basalt formation classification: A case study at Buon Ma Thuot region, Central Highland, Vietnam
- Assessment of the hydrocarbon potentiality of the Late Jurassic formations of NW Iraq: A case study based on TOC and Rock-Eval pyrolysis in selected oil-wells
- Rare earth element geochemistry of sediments from the southern Okinawa Trough since 3 ka: Implications for river-sea processes and sediment source
- Effect of gas adsorption-induced pore radius and effective stress on shale gas permeability in slip flow: New Insights
- Development of the Narva-Jõesuu beach, mineral composition of beach deposits and destruction of the pier, southeastern coast of the Gulf of Finland
- Selecting fracturing interval for the exploitation of tight oil reservoirs from logs: a case study
- A comprehensive scheme for lithological mapping using Sentinel-2A and ASTER GDEM in weathered and vegetated coastal zone, Southern China
- Sedimentary model of K-Successions Sandstones in H21 Area of Huizhou Depression, Pearl River Mouth Basin, South China Sea
- A non-uniform dip slip formula to calculate the coseismic deformation: Case study of Tohoku Mw9.0 Earthquake
- Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in Hungary
- The Impacts of Climate Change on Maximum Daily Discharge in the Payab Jamash Watershed, Iran
- Mass tourism in protected areas – underestimated threat? Polish National Parks case study
- Decadal variations of total organic carbon production in the inner-shelf of the South China Sea and East China Sea
- Hydrogeothermal potentials of Rogozna mountain and possibility of their valorization
- Postglacial talus slope development imaged by the ERT method: comparison of slopes from SW Spitsbergen, Norway and Tatra Mountains, Poland
- Seismotectonics of Malatya Fault, Eastern Turkey
- Investigating of soil features and landslide risk in Western-Atakent (İstanbul) using resistivity, MASW, Microtremor and boreholes methods
- Assessment of Aquifer Vulnerability Using Integrated Geophysical Approach in Weathered Terrains of South China
- An integrated analysis of mineralogical and microstructural characteristics and petrophysical properties of carbonate rocks in the lower Indus Basin, Pakistan
- Applicability of Hydrological Models for Flash Flood Simulation in Small Catchments of Hilly Area in China
- Heterogeneity analysis of shale reservoir based on multi-stage pumping data
Artikel in diesem Heft
- Regular Articles
- 2D Seismic Interpretation of the Meyal Area, Northern Potwar Deform Zone, Potwar Basin, Pakistan
- A new method of lithologic identification and distribution characteristics of fine - grained sediments: A case study in southwest of Ordos Basin, China
- Modified Gompertz sigmoidal model removing fine-ending of grain-size distribution
- Diagenesis and its influence on reservoir quality and oil-water relative permeability: A case study in the Yanchang Formation Chang 8 tight sandstone oil reservoir, Ordos Basin, China
- Evaluation of AHRS algorithms for Foot-Mounted Inertial-based Indoor Navigation Systems
- Identification and evaluation of land use vulnerability in a coal mining area under the coupled human-environment
- Hydrocarbon Generation Potential of Chia Gara Formation in Three Selected Wells, Northern Iraq
- Source Analysis of Silicon and Uranium in uranium-rich shale in the Xiuwu Basin, Southern China
- Lithologic heterogeneity of lacustrine shale and its geological significance for shale hydrocarbon-a case study of Zhangjiatan Shale
- Characterization of soil permeability in the former Lake Texcoco, Mexico
- Detrital zircon trace elements from the Mesozoic Jiyuan Basin, central China and its implication on tectonic transition of the Qinling Orogenic Belt
- Turkey OpenStreetMap Dataset - Spatial Analysis of Development and Growth Proxies
- Morphological Changes of the Lower Ping and Chao Phraya Rivers, North and Central Thailand: Flood and Coastal Equilibrium Analyses
- Landscape Transformations in Rapidly Developing Peri-urban Areas of Accra, Ghana: Results of 30 years
- Division of shale sequences and prediction of the favorable shale gas intervals: an example of the Lower Cambrian of Yangtze Region in Xiuwu Basin
- Fractal characteristics of nanopores in lacustrine shales of the Triassic Yanchang Formation, Ordos Basin, NW China
- Selected components of geological structures and numerical modelling of slope stability
- Spatial data quality and uncertainty publication patterns and trends by bibliometric analysis
- Application of microstructure classification for the assessment of the variability of geological-engineering and pore space properties in clay soils
- Shear failure modes and AE characteristics of sandstone and marble fractures
- Ice Age theory: a correspondence between Milutin Milanković and Vojislav Mišković
- Are Serbian tourists worried? The effect of psychological factors on tourists’ behavior based on the perceived risk
- Real-Time Map Matching: A New Algorithm Integrating Spatio-Temporal Proximity and Improved Weighted Circle
- Characteristics and hysteresis of saturated-unsaturated seepage of soil landslides in the Three Gorges Reservoir Area, China
- Petrographical and geophysical investigation of the Ecca Group between Fort Beaufort and Grahamstown, in the Eastern Cape Province, South Africa
- Ecological risk assessment of geohazards in Natural World Heritage Sites: an empirical analysis of Bogda, Tianshan
- Integrated Subsurface Temperature Modeling beneath Mt. Lawu and Mt. Muriah in The Northeast Java Basin, Indonesia
- Go social for your own safety! Review of social networks use on natural disasters – case studies from worldwide
- Forestry Aridity Index in Vojvodina, North Serbia
- Natural Disasters vs Hotel Industry Resilience: An Exploratory Study among Hotel Managers from Europe
- Using Monarch Butterfly Optimization to Solve the Emergency Vehicle Routing Problem with Relief Materials in Sudden Disasters
- Potential influence of meteorological variables on forest fire risk in Serbia during the period 2000-2017
- Controlling factors on the geochemistry of Al-Shuaiba and Al-Mejarma coastal lagoons, Red Sea, Saudi Arabia
- The Influence of Kaolinite - Illite toward mechanical properties of Claystone
- Two critical books in the history of loess investigation: ‘Charakteristik der Felsarten’ by Karl Caesar von Leonhard and ‘Principles of Geology’ by Charles Lyell
- The Mechanism and Control Technology of Strong Strata Behavior in Extra-Thick Coal Seam Mining Influenced by Overlying Coal Pillar
- Shared Aerial Drone Videos — Prospects and Problems for Volunteered Geographic Information Research
- Stable isotopes of C and H in methane fermentation of agriculture substrates at different temperature conditions
- Prediction of Compression and Swelling Index Parameters of Quaternary Sediments from Index Tests at Mersin District
- Detection of old scattered windthrow using low cost resources. The case of Storm Xynthia in the Vosges Mountains, 28 February 2010
- Remediation of Copper and Zinc from wastewater by modified clay in Asir region southwest of Saudi Arabia
- Sedimentary facies of Paleogene lacustrine dolomicrite and implications for petroleum reservoirs in the southern Qianjiang Depression, China
- Correlation between ore particle flow pattern and velocity field through multiple drawpoints under the influence of a flexible barrier
- Atmospheric refractivity estimation from AIS signal power using the quantum-behaved particle swarm optimization algorithm
- A geophysical and hydro physico-chemical study of the contaminant impact of a solid waste landfill (swl) in King Williams’ Town, Eastern Cape, South Africa
- Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs
- A Study on Transient Electromagnetic Interpretation Method Based on the Seismic Wave Impedance Inversion Model
- Stratigraphy of Architectural Elements of a Buried Monogenetic Volcanic System
- Variable secondary porosity modeling of carbonate rocks based on μ-CT images
- Traditional versus modern settlement on torrential alluvial fans considering the danger of debris flows: a case study of the Upper Sava Valley (NW Slovenia)
- The Influence of Gangue Particle size and Gangue Feeding Rate on Safety and Service Life of the Suspended Buffer’s Spring
- Research on the Transition Section Length of the Mixed Workface Using Gangue Backfilling Method and Caving Method
- Rainfall erosivity and extreme precipitation in the Pannonian basin
- Structure of the Sediment and Crust in the Northeast North China Craton from Improved Sequential H-k Stacking Method
- Planning Activities Improvements Responding Local Interests Change through Participatory Approach
- GIS-based landslide susceptibility mapping using bivariate statistical methods in North-western Tunisia
- Uncertainty based multi-step seismic analysis for near-surface imaging
- Deformation monitoring and prediction for residential areas in the Panji mining area based on an InSAR time series analysis and the GM-SVR model
- Statistical and expert-based landslide susceptibility modeling on a national scale applied to North Macedonia
- Natural hazards and their impact on rural settlements in NE Romania – A cartographical approach
- Rock fracture initiation and propagation by mechanical and hydraulic impact
- Influence of Rapid Transit on Accessibility Pattern and Economic Linkage at Urban Agglomeration Scale in China
- Near Infrared Spectroscopic Study of Trioctahedral Chlorites and Its Remote Sensing Application
- Problems with collapsible soils: Particle types and inter-particle bonding
- Unification of data from various seismic catalogues to study seismic activity in the Carpathians Mountain arc
- Quality assessment of DEM derived from topographic maps for geomorphometric purposes
- Remote Sensing Monitoring of Soil Moisture in the Daliuta Coal Mine Based on SPOT 5/6 and Worldview-2
- Utilizing Maximum Entropy Spectral Analysis (MESA) to identify Milankovitch cycles in Lower Member of Miocene Zhujiang Formation in north slope of Baiyun Sag, Pearl River Mouth Basin, South China Sea
- Stability Analysis of a Slurry Trench in Cohesive-Frictional Soils
- Integrating Landsat 7 and 8 data to improve basalt formation classification: A case study at Buon Ma Thuot region, Central Highland, Vietnam
- Assessment of the hydrocarbon potentiality of the Late Jurassic formations of NW Iraq: A case study based on TOC and Rock-Eval pyrolysis in selected oil-wells
- Rare earth element geochemistry of sediments from the southern Okinawa Trough since 3 ka: Implications for river-sea processes and sediment source
- Effect of gas adsorption-induced pore radius and effective stress on shale gas permeability in slip flow: New Insights
- Development of the Narva-Jõesuu beach, mineral composition of beach deposits and destruction of the pier, southeastern coast of the Gulf of Finland
- Selecting fracturing interval for the exploitation of tight oil reservoirs from logs: a case study
- A comprehensive scheme for lithological mapping using Sentinel-2A and ASTER GDEM in weathered and vegetated coastal zone, Southern China
- Sedimentary model of K-Successions Sandstones in H21 Area of Huizhou Depression, Pearl River Mouth Basin, South China Sea
- A non-uniform dip slip formula to calculate the coseismic deformation: Case study of Tohoku Mw9.0 Earthquake
- Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in Hungary
- The Impacts of Climate Change on Maximum Daily Discharge in the Payab Jamash Watershed, Iran
- Mass tourism in protected areas – underestimated threat? Polish National Parks case study
- Decadal variations of total organic carbon production in the inner-shelf of the South China Sea and East China Sea
- Hydrogeothermal potentials of Rogozna mountain and possibility of their valorization
- Postglacial talus slope development imaged by the ERT method: comparison of slopes from SW Spitsbergen, Norway and Tatra Mountains, Poland
- Seismotectonics of Malatya Fault, Eastern Turkey
- Investigating of soil features and landslide risk in Western-Atakent (İstanbul) using resistivity, MASW, Microtremor and boreholes methods
- Assessment of Aquifer Vulnerability Using Integrated Geophysical Approach in Weathered Terrains of South China
- An integrated analysis of mineralogical and microstructural characteristics and petrophysical properties of carbonate rocks in the lower Indus Basin, Pakistan
- Applicability of Hydrological Models for Flash Flood Simulation in Small Catchments of Hilly Area in China
- Heterogeneity analysis of shale reservoir based on multi-stage pumping data