http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/37 Fri, 22 May 2026 06:06:17 GMT 2026-05-22T06:06:17Z http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1991 Title: Is growth political? From the perspective of geopolitical risk Authors: Jha, Saakshi Abstract: This study explores the impact of heightened geopolitical risk (GPR) on the economic growth of 18 emerging countries partly attributed to the level of democracy. We examine if the countries more democratic could withstand the shock of GPR, thereby maintaining a steadystate economic growth. We analyze these premises with the backdrop of the extant literature, which indicates that political instability, terror, and other internal and external conflict significantly negatively impact economic growth that further multiplies depending on the level of democracy. By employing system GMM for the period 1991 to 2020, we establish that GPR is detrimental to an emerging democratic country; this impact is more detrimental for those countries that experience a low to moderate level of democracy. Our results suggest that in the light of heightened geopolitical tension, a country should thrive to attain full democracy to achieve higher economic growth. Fri, 10 Mar 2023 00:00:00 GMT http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1991 2023-03-10T00:00:00Z http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1919 Title: Quantifying data imbalance using exponential f-divergence Authors: Sarkar, Sobhan; Pramanik, Anima Abstract: In this study, a new measure of imbalance is introduced in order to compute the extent of imbalance for multiclass data. In the case of binary datasets, the Imbalance Ratio (IR) can be used to measure the amount of imbalance. However in the case of multi-class datasets, since it only takes into account the frequency of the most frequent majority class and the least frequent minority class, it fails to encapsulate any properties from the intermediate classes. An imbalance Degree (ID) was proposed to overcome the issues of IR by considering information from the intermediate classes as well. Nevertheless, it required us to choose a distance metric that largely influenced the results and could lead to unfavorable results. It is also assumed that the number of minority classes impacted the extent of the imbalance without considering their individual contributions, which is not correct. Thus, ID cannot be chosen as an authentic metric if this assumption is breached. Furthermore, another metric called Likelihood Ratio Imbalance Degree (LRID) was proposed to make the metric independent of the number of minority classes in the data. However, it considered the imbalance to be directional and assumed both positive and negative values for individual contributions from classes. In this study, we obtain a more authentic procedure to measure the extent of imbalance extent using statistical divergence from balanced class distributions. Thu, 08 Jun 2023 00:00:00 GMT http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1919 2023-06-08T00:00:00Z http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1864 Title: An NLP-Based Approach to Examine Customer Views about Virtual Tourism Sites Authors: Ray, Ananya.; Bala, Pradip Kumar.; Ray, Arghya. Wed, 03 May 2023 00:00:00 GMT http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1864 2023-05-03T00:00:00Z http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1920 Title: Impact of jay customer on frontline employees: a qualitative; quantitative study of Indian hospitality industry Authors: Chaudhuri, Ranjan Description: In the conference proceeding of Track-Service, Tourism, and Hospitality Marketing, Association of Collegiate Marketing Educators (ACME) Wed, 08 Mar 2023 00:00:00 GMT http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1920 2023-03-08T00:00:00Z