Tomas Bata University in Zlín
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Comparison of integrated rescue system software tools used to support the implementation and creation of exercises
Get PDFTo successfully deal with emergent events or crises, it is necessary to have a fully planned integrated rescue system (IRS). The stages of the IRS are tested by exercises that aim to model rescue and clean-up operations as closely as possible. This article compares different software tools to support the creation and implementation of exercises of different stages of the IRS. The article aims to compare suitable software tools and evaluate their application in the individual phases of creating tactical exercises in the IRS and application to the implementation and evaluation phase. Methods of explanation, comparison, and modeling are used to achieve the goals. It was found that the investigated software programmes are all suitable for use in the organization of exercises. The results are shown in a comparison table and examples of individual model situations. The article presents possible implementation scenarios of software tools for creating and organizing exercises of stages of the IRS, which can make the preparation of both tactical and screening exercises more efficient.IGA/FAI/2022/003, RVO/FLKŘ/2022/02Internal Grant Agency of Tomas Bata University in Zlin [IGA/FAI/2022/003]; project: Application of advanced methods and tools of information technology in the process of civil protection [RVO/FLKR./2022/02
The influence of COVID-19 pandemic on digital transformation process and strategic management in SMEs in the Czech Republic
Get PDFIn this qualitative study, we provide insight to the influence of COVID-19 pandemic on the digital transformation process and strategic management in SMEs in the Czech Republic. Digital transformation is perceived as a driver of growth and competitiveness, defined by new technologies and approaches, and strongly connected with strategic management and strategic approach. Drawing on SME employees experience with recent pandemic situation, we analysed and addressed the factors that influence digital transformation process and strategic management to reveal and describe, what drives or slows the process. Our findings have been founded on several case studies carried out in SME organizations via series of interviews that involved employees of various level and specialization. Results reveal that influence of pandemic on digital transformation process and strategic management may vary according to individual experience, which opens the possibility for contextualization and further research using quantitative methods. The results indicate that the influence of covid19 pandemic on strategic management and digital transformation process generated both positive and negative experience. It was perceived as an accelerator of change, speeding up rigid or long-postponed processes and implementations, but also carrying negative effects as employee attrition, loss of morale and motivation and resignation. This research contributes to prior literature on digital transformation and strategic management by investigating the influence of unprecedent events of multinational impact on SME digital transformation process.Tomas Bata University in Zlin; Faculty of management and econom
Text-based feature selection using binary particle swarm optimization for sentiment analysis
No full textThe upsurge in social media data due to the proliferation of Web 2.0 applications has escalated scholarly studies within the sentiment analysis domain in recent times. Sentiment Analysis usually considered a text classification task in Natural Language Processing (NLP) classifies the views, attitudes, and feelings expressed by people concerning a particular organization or entity. This unstructured textual data can be pre-processed and represented as feature vectors which then serve as input to a machine learning algorithm for sentiment classification. In this process, feature selection which is a binary problem becomes an essential component of the SA exercise. We present a metaheuristic-based approach for optimal selection of features subset via the binary particle swarm optimization (BPSO) metaheuristic algorithm with the view to improve sentiment classification accuracy on the sentiment labelled sentences benchmark dataset. K-Nearest Neighbours, Naïve Bayes, and Support Vector Machine classifiers were employed as baseline classifiers to train the features. Before the sentiment classification process, the BPSO is utilized for selecting the optimal text features subset from the data. We train our sentiment labelled sentences benchmark dataset with SVM, NB, and k-NN using the selected optimal feature subset for sentiment classification. The results of the experiments conducted show impressive performance using our proposed approach for optimal text feature selection and sentiment classification compared to the baseline classifiers. © 2022 IEEE.Tomas Bata University in Zlin, TBU: IGA/CebiaTech/2021/00
Exploring the psychological contract breach of nurses in healthcare: an exploratory study
Get PDFPurpose Recent advancements in the field of organizational psychology have transformed the employees' perceptions related to the reactions of the employment relationship. The main aim of the study is to explore the consequences of psychological contracts among the nursing staff and how to provide better patient care and quality service in the health-care system as nurses play a pivotal role in the context of Pakistan. Significantly, this study attempts to bridge the research gap by exploring consequences of psychological contracts. Drawing on the social exchange theory, this study examined the psychological contracts of nurses and their reactions to the perceived violation. Design/methodology/approach This research adopted a qualitative method and was based on an exploratory approach. Data were collected through in-depth semi-structured interviews from 21 nurses working in public, private and charity hospitals in Karachi, Pakistan. The thematic content analysis is employed for the analysis of data by using NVivo software. Findings The study identified the relational and transactional elements related to the psychological contract of nurses who predominantly consisted of supervisor support, autonomy, tangible/intangible rewards and trust. The intrinsic motivation which relates to their devotion to work was found as an additional element to balance their psychological contract. This research also establishes that the psychological contract of nurses is being violated in their work settings. Practical implications By highlighting the importance of psychological contract breach, the findings demonstrate that health-care institutions should take measures to cope with psychological contract breach issues at the workplace. Originality/value This study contributes to the body of knowledge by exploring psychological contract breach. Substantially, there are rare studies conducted on psychological contract breach among nurses in developing country context (Pakistan). However, this study adds to the previous studies related to the psychological contract of nurses in the context of Pakistan by using social exchange theories. Finally, this study enables the management of healthcare to balance the psychological contract issues effectively
Workplace support and service-oriented organisational citizenship behaviour: The mediating role of psychological empowerment and affective commitment
Get PDFThe purpose of this study is to examine the mechanism underpinning the relationship between perceived supervisor support, perceived organisational support, and service-oriented organisational citizenship behaviour. The data was collected from 250 flight attendants working in airline companies, and structural equation model modelling using M-plus 7.0 was employed to test the hypotheses. This research provides evidence for the association between psychological empowerment, affective commitment, and service-oriented organisational citizenship behaviour. Additionally, perceived organisational support, psychological empowerment, and affective commitment were found to mediate the relationship between employees’ perceptions of the support from their supervisor and their service-oriented citizenship behaviour. In addition to contributing to the current literature, this research also suggests important implications for managers and practitioners in airlines. © 2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.IGA/FaME/2020/01
Disruptive technological innovation and organizational agility development: Do they build workforce resilience?
No full textThis paper deals with enlightening the significance of organizational learning and strategic human resource management’s (SHRM’s) impact on combining disruptive technological innovation for boosting workforce resilience and organizational agility development. Currently, disruptive technological innovation and organizational agility concept both the approaches are considered as a novel approach that plays a crucial role in enhancing organizational competitiveness as well as creating future workforce resilience. This study attempts to answer the research question on how disruptive technological innovation and organizational agility can enable workforces to strengthen their innovative capabilities and enhances their flexibility to adopt the challenges of interference. This paper also tries to demonstrate that learning agility essentially strengthens a human instinct to learn, adapt, unlearn, and relearn which reveals a progressive path to keep pace with the ever-changing conditions and figure out new ways to navigate them without knowing what to do. The main aim of this paper is to exemplify and highlight the significance of disruptive technology and its innovative approaches that foster organizational learning to take the lead in re-inventing the workforce and ensuring organizational stability through organizational agility development. As, organizational learning concept and organizational agility is the reinforcement of creating a unique environment for organizational knowledge and performance development within the organization that empowers existing workforces to face the competitive challenges of knowledge growth opportunities. Conclusively, this paper also explicates the conceptualization of organizational agility and organizational learning process, with the spirit of organizational innovativeness through agile features of an organization that enable firms to combine their existing tacit and explicit knowledge to respond the threat of disruptive innovation technologies by upgrading SHRM’s capabilities and practices.CZ.02.2.69/0.0/0.0/16_028/0006243Development of TBU research and development capacities in Zlin [CZ.02.2.69/0.0/0.0/16_028/0006243
Recovery of the foot loading patterns of children with excess weight after losing eeight: A 3-year longitudinal study
Get PDFIt is suggested that children with excess weight should lose weight to reduce plantar pressure and the risk of related injuries. However, whether the foot loading patterns of these children could return to normal after weight loss is unclear. A total of 147 children participated in this longitudinal study; 51 were selected for analysis-13 children who were overweight and 1 child with obesity reduced their weight to normal levels and 37 children maintained normal weights (control group). The plantar pressure parameters, including peak pressure, maximum force, and force-time integral were recorded using a Footscan plate system. Comparisons of plantar parameters and load transferences revealed that weight loss could effectively decrease the differences in foot loading distributions between the weight-reduced and normal-weight groups. After losing weight, the foot loading patterns of the children who were overweight recovered to the level of normal-weight children, and that of the child with obesity failed to reach the normal level. Losing weight is suggested for children who are overweight/obese to recover their foot loading patterns, to avoid further adverse influences on the foot/functioning caused by excessive weight-bearing. Further research exploring the findings of a cohort of children with obesity-who reduce their weight to normal levels-is warranted
Student research abstract: Mining high average utility pattern using bio-inspired algorithm
No full textHigh average utility pattern (itemset) Mining (HAUIM) is a necessary research problem in the field of knowledge discovery and data mining. Several algorithms have been proposed to mine high average-utility itemsets (HAUIs). Nonetheless, the large search space leads to poor performance because of excessive execution time and memory usage. To handle this limitation, particle swarm optimization (PSO) is applied to mine HAUIs. In this paper, an effective Binary PSO-based algorithm namely HAUIM-BPSO is proposed to explore HAUI efficiently. In general, HAUIM-BPSO first sets the number of discovered potential high average-utility 1-itemsets (1-PHAUIs) as the size of a particle based on average utility upper bound (AUUB) property. The sigmoid function is also used in the updating process of the individual of the proposed HAUIM-BPSO algorithm. Substantial experiments conducted on publicly available datasets show that the proposed algorithm has better results than existing state-of-the-art algorithms in terms of runtime which can significantly reduce the combinational problem, memory usage, and convergence speed
Female labour force participation and the economic development in Egypt
Get PDFEconomic literature highlights the vital role that women can play in enhancing the economic development of nations. However, there is still gender inequality in developing countries, especially in education and labour market participation. Although women represent nearly half of the population in Egypt, their labour force participation rate is still very low compared to men. This paper's primary goal is to investigate the short and long-run associations between female labour force participation and Egypt's GDP growth rate. The study used annual time series data from 1990-2019, where the vector error correction model (VECM) was employed. The study found that female labour force participation and the gross fixed capital formation growth rate can enhance the GDP growth rate in the long run. Nevertheless, there is no statistically significant relationship in the short run. This paper's main recommendations are that the Egyptian government needs to implement policies that encourage women's labour force participation and decrease gender inequality. These policies could be changes in legislation, modernization of social norms, Job flexibility, and increasing access to childcare. Moreover, they need to focus on both the demand and supply sides of the quality of female labour force participation by matching the women’s education with the creation of suitable jobs. © 2022, Bucharest University of Economic Studies. All rights reserved.IGA/FaME/2021/00
Design of robust PI controllers for interval plants with worst-case gain and phase margin specifications in presence of multiple crossover frequencies
Get PDFThis article deals with the computation of robustly performing Proportional-Integral (PI) controllers for interval plants, where the performance measures are represented by the worst-case Gain Margin (GM) and Phase Margin (PM) specifications, in the event of multiple Phase Crossover Frequencies (PCFs) and/or Gain Crossover Frequencies (GCFs). The multiplicity of PCFs and GCFs poses a considerable complication in frequency-domain control design methods. The paper is a continuation of the authors' previous work that applied the robust PI controller design approach to a Continuous Stirred Tank Reactor (CSTR). This preceding application represented the system with a single PCF and a single GCF, but the current article focuses on a case of multiple PCFs and GCFs. The determination of a robust performance region in the P-I plane is based on the stability/performance boundary locus method and the sixteen plant theorem. In the illustrative example, a robust performance region is obtained for an experimental oblique wing aircraft that is mathematically modeled as the unstable interval plant. The direct application of the method results in the (pseudo-)GM and (pseudo-)PM regions that "illogically" protrude from the stability region. Consequently, a deeper analysis of the selected points in the P-I plane shows that the calculated GM and PM boundary loci are related to the numerically correct values, but that the results may be misleading, especially for the loci outside the stability region, due to the multiplicity of the PCFs and GCFs. Nevertheless, the example eventually shows that the important parts of the GM and PM regions, i.e., the parts that have an impact on the final robust performance region, are valid. Thus, the method is applicable even to unstable interval plants and to the control loops with multiple PCFs and GCFs