4653 research outputs found
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A Proposed Model for Employee Competencies in Hospitality 4.0 Talent Management: H4TM
No full textPurpose of this study is to specify and prioritize the employee competencies in the context of key specialist jobs in lodging industry and to introduce a model as Hospitality 4.0 Talent Management. This study integrates the qualitative and quantitative approaches. To evaluate the performance of Talent Management with Hospitality 4.0 perspective, the valid and reliable criteria are determined by a literature review. Next stage was to find out the weight and importance of each identified dimension, by use of Best- Worst-Method (BWM). As a result, a novel model is proposed to help lodging organizations to specify and prioritize their key employees' competencies in terms of hard, soft and mixed skills for H4TM, thus to map their post Covid-19 talent management practices effectively.Economic
Do asymmetric information and leverage affect investment decisions?
No full textWe investigate the impact of asymmetric information on the investment decisions of firms and analyze the effect of asymmetric information on the over-investment and under-investment of firms. Further, we examine the effect of leverage on the investment behavior of firms and check this association in the presence of asymmetric information. We extract data from DataStream of 280 non-financial firms listed at Pakistan Stock Exchange over the period of 2000 to 2018. We apply the Fixed Effect Model to analyze the data and System Generalized Method of Moments to check the robustness of the results. We find that asymmetric information negatively affects the investment decisions of firms. Due to asymmetric information investment decreases rapidly as compared to increase in investment. Further, leverage is an important determinant of investment decisions and the presence of asymmetric information increases the adverse effect of leverage on the investment of firms.(c) 2021 Board of Trustees of the University of Illinois. Published by Elsevier Inc. All rights reserved.Economic
Turkey's asylum policies over the last century: continuity, change and contradictions
No full textThis article explores Turkey's century-long asylum policies by highlighting two enduring policy considerations. The first is Turkey's process of convergence with the norms and principles of the global refugee regime. The second is the persistent practice of granting refugees protection of a temporary nature. These two policy considerations are discussed by employing the conceptual frameworks of 'policy diffusion' and the 'nationalizing migration state.' The study concludes that Turkey's asylum policies have been shaped by the tension between these two policy considerations over the past century.Area Studie
Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China
No full textCOVID-19 has negative impacts on supply chain operations between countries. The novelty of the study is to evaluate the sectoral effects of COVID-19 on global supply chains in the example of Turkey and China, considering detailed parameters, thanks to the developed System Dynamics (SD) model. During COVID-19 spread, most of the countries decided long period of lockdowns which impacted the production and supply chains. This had also caused decrease in capacity utilizations and industrial productions in many countries which resulted with imbalance of maritime trade between countries that increased the freight costs. In this study, cause and effect relations of trade parameters, supply chain parameters, demographic data and logistics data on disruptions of global supply chains have been depicted for specifically Turkey and China since China is the biggest importer of Turkey. Due to this disruption, mainly exports from Turkey to China has been impacted in food, chemical and mining sectors. This study is helpful to plan in which sectors || the actions should be taken by the government bodies or managers. Based on findings of this study, new policies such as onshore activities should consider to overcome the logistics and supply chain disruptions in global supply chains. This study has been presented beneficial implications for the government, policymakers and academia.Economics || Management || Operations Research & Management Scienc
A Machine Learning Based Energy-Efficient Indoor Multiple IoT Device Tracking Algorithm Based on Correlated Group Determination
No full textWe develop a novel algorithm for energy-efficient indoor multiple IoT device tracking based on Artificial Intelligence (AI). Our algorithm is comprised of two phases: First, we jointly forecast the future positions of the mobile IoT devices. Second, we develop a novel algorithm that determines groups of IoT devices whose forecast trajectories are correlated with each other over a future time window. Our simulations demonstrate that our algorithm results in significant energy savings by keeping only the leader of the correlated group active while putting the followers to sleep during the entire duration for which the correlated group persists. This results in low intra-communication energy costs for the correlated group. This work represents a significant advance over single-device tracking algorithms by exploiting the correlations between the trajectories of multiple IoT devices.Computer Science, Artificial Intelligence || Computer Science, Theory & Methods || Engineering, Electrical & Electronic || Telecommunication
Teaching Europe and the Middle East at universities in Turkey
No full textArea Studies || Education & Educational Research || International Relation
Effective health communication depends on the interaction of message source and content: two experiments on adherence to COVID-19 measures in Türkiye
No full textObjectiveFollowing the COVID-19 outbreak, authorities recommended preventive measures to reduce infection rates. However, adherence to calls varied between individuals and across cultures. To determine the characteristics of effective health communication, we investigated three key features: message source, content, and audience.MethodsUsing a pre-test and two experiments, we tested how message content (emphasizing personal or social benefit), audience (individual differences), message source (scientists or state officials), and their interaction influence adherence to preventive measures. Using fliers advocating preventive measures, Experiment 1 investigated the effects of message content and examined the moderator role of individual differences. Experiment 2 presented the messages using news articles and manipulated sources.ResultsStudy 1 found decreasing adherence over time, with no significant impact from message content or individual differences. Study 2 found messages emphasizing 'protect yourself' and 'protect your country' to increase intentions for adherence to preventive measures. It also revealed an interaction between message source and content whereby messages emphasizing personal benefit were more effective when they came from healthcare professionals than from state officials. However, message source and content did not affect vaccination intentions or donations for vaccine research.ConclusionEffective health communication requires simultaneous consideration of message source and content.Public, Environmental & Occupational Health || Psychology, Multidisciplinar
A conceptual framework for a new service model: digital servitization with an Industrial 4.0 perspective
No full textPurposeRecently, increasing costs and competitive pressure have accelerated the search for different business models in both the production and service sectors. The rapid development of technology has increased the importance of digitalization, especially in developing new and different strategies. The digital service business model has also become a new business model that companies have recently preferred. In addition to its many advantages, it is a business model in which different barriers arise in practice. When we look at the literature, there are very few studies, especially on digital servitization. The purpose of this study is to integrate the concept of digital servitization with the Industry 4.0 perspective.Design/methodology/approachTo achieve this aim, first, the authors identify various challenges and barriers in front of digital servitization based on the Industry 4.0 perspective. Later, they determine the relative importance of these barriers critical to the success of digital servitization. Lastly, one multi-criteria decision-making method, the fuzzy decision-making trial and evaluation laboratory method, is used to analyze the cause-and-effect relationship between each barrier based on the Industry 4.0 perspectiveFindingsBased on the results, the most crucial cause-and-effect barriers are insufficient infrastructure/lack of IT infrastructure and high implementation, respectively. Therefore, this study offers the reader the possible barriers to sustainable digital servitization with Industry 4.0 perspective implementations and comprehensive solutions for these barriers. In addition, this study draws a roadmap for disseminating digital service applications.Originality/valueThere is no study, to the best of the authors' knowledge, about determining barriers and problems with merging digital servitization with the Industry 4.0 perspective. So, there is still a significant gap in the literature about investigating these two essential topics from the Industry 4.0 perspective.Managemen
Increase in physiological inhibitory control results in better suppression of unwanted memories
No full textForgetting or suppressing a memory with unwanted content is just as important as remembering a desirable one. In addition to emphasizing the role of inhibitory control in memory suppression processes, neuropsychological studies have indicated that an intentional inhibition targeting a brain area may exert its inhibitory effects in seemingly unrelated areas through a common inhibitory network. In this study, we aimed to investigate whether the suppression of unwanted memories can be strengthened by recruiting an inhibitory task that can be simultaneously performed with a memory suppression task. Therefore, we manipulated the level of urinary urgency-induced inhibition of participants (N = 180) and test its effect on the suppression of unwanted memories using a Think/No-Think (T/NT) task. The results of our study indicated that individuals with high levels of urinary urgency demonstrated greater memory suppression compared to those with low urinary urgency. Findings and their implications are discussed within the context of cognitive and clinical perspectives, and recommendations are made for future research.Psychology, Multidisciplinar
Are return predictors of industrial equity indexes common across regions?
No full textWe investigate the potential cross-sectional relationship between several equity index attributes and future returns on country-industry indexes in the regions of North America, Europe, Asia-Pacific, South America, MENA, and Japan. Index attributes include the recently documented predictors in the cross-section of stock or index returns such as return range, maximum and minimum returns in a month, idiosyncratic skewness as well as widely documented predictors at the stock level. Maximum and minimum effects are common for all regions. Return range significantly predicts returns in Europe, Asia-Pacific, and South America after controlling for other index attributes. Standard deviation and idiosyncratic volatility have strong predictive ability in Europe, Asia-Pacific, South America, MENA, and Japan. Intermediate term momentum forecasts returns on North American and European portfolios. Earnings-to-price ratio is cross-sectionally linked to returns in Europe. Portfolio sorts show that the predictive power of significant index attributes increases with decreasing index size.Business, Financ