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Like me or not, follow me – motivation and follower engagement among Indian travel influencers
Get PDFThe phenomenon of travel bloggers promoting places, products, and brands, both independently and in collaboration with corporations, is not new. However, research on this phenomenon remains sparse. Few studies have explored the journey of travel bloggers from the perspective of their engagement, as well as the influencers’ perceived credibility, expertise, and attractiveness. In the present study, we employ an interpretive approach using in-depth interviews with 25 full-time travel bloggers to uncover their process of becoming influencers. The findings reveal three key concepts: the antecedents to blogging, the barriers, and the outcomes (both positive and negative). The results demonstrate that engagement is a crucial characteristic of influencers, as it determines the effectiveness of the messages they deliver and their perceived attractiveness, particularly when consumers are skeptical. This study contributes to the research on travel bloggers by examining the marketing aspects of blogging and offers relevant managerial implications. © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
Heterogeneity in Food Price Inflation Convergence Across the EU : Evidence From Club Dynamics and Structural Breaks
Get PDFThis study examines food price inflation rate convergence among EU27 Member States from 2005 to 2024, focusing on structural breaks, external shocks, and regional disparities. Using panel unit root tests and club convergence analysis, the findings reveal no overall convergence but identify multiple convergence clubs. Structural breaks linked to major global crises exacerbate inflation disparities. Temporary inflation alignment occurs during shocks, but long‐term convergence remains constrained by economic and policy differences. The study highlights the need for tailored fiscal and agricultural policies to enhance market cohesion. These insights contribute to understanding food price dynamics and guiding policymakers toward stability
Exploring digital transformation strategy to achieve SMEs resilience and antifragility : a systematic literature review
Get PDFNowadays, the business environment has become more dynamic, making survival issues more challenging for small and medium enterprises (SMEs). Academic literature proposes digital transformation as a facilitator for SMEs to generate resilience and antifragility to overcome this challenge. However, SMEs need appropriate strategies to be successful in their digital transformation journey. This study aims to construct a digital transformation strategy framework for SMEs to generate resilience and antifragility. We use systematic literature review (SLR) to capture critical knowledge from the published literature. The primary articles were analyzed using thematic analysis with Wolcott’s (1994) procedure to construct the framework based on the primary studies. We found the critical values SMEs need to achieve successful digital transformation, including dynamic capabilities, digital capability, digital inclusion, leadership orientation, learning and knowledge management, and collaboration. However, SMEs need a deeper level of learning, higher digital capability, flexibility, and agility to be antifragile. Furthermore, we found that dynamic capabilities are the leading theory used to describe and investigate how a firm generates successful transformation. Finally, this study proposes a conceptual framework for digital transformation strategies to generate SME resilience and antifragile by connecting theory and practical concepts. It also suggests future research agendas
Fuzzy model-based analysis of user feedback for product development insights
Get PDFThe topic of this paper belongs to the modeling of human-software experience to support product development. The primary objective of this paper is to present a structured modeling framework, incorporating user feedback to support software product development. The proposed modeling framework constructs a model that outlines the relationship between measurable parameters of objective and subjective user feedback and the evaluation metrics of software and user capability, motivated by the typical disparity between feedback parameters and capability metrics. A key benefit of the framework is its visually enhanced interpretability power. The resulting model is based on a manageable set of linguistic fuzzy rules, designed to remain at a level comprehensible to human intuition, thereby enabling developers to understand the primary causal relationships. A further benefit of the framework is its adaptability across the entire application lifecycle; it can initiate with minimal user feedback and is computationally equipped to handle the gradually increasing volume of feedback over time. Thus, this approach serves two critical purposes: first, to guide the development team in identifying features that require enhancement to better align with user needs; and second, to optimize the alignment between the application's functionalities and the diverse capabilities of its user base. Beyond this proposed framework, the primary novelty in the field of modeling lies in the special modification of the TS fuzzy model transformation method that enables the selection of principal components within the fuzzy rules and facilitates the use of interpretable fuzzy sets, along with a pseudo-inverse-based model adaptation that mitigates the computational load as the number of users grows. The effectiveness of the proposed framework is demonstrated through four use case examples. The first use case is in a hypothetical example for illustrative purposes to intuitively clarify the framework's functionality. The second models user demographics, digital content engagement, and VR platform adaptation preferences. The third addresses the subjective and objective challenges of users when performing tasks in 2D versus 3D environments. The fourth examines the experience of spatial presence in 3D environments
The Sentiment Augmented GARCH-LSTM Hybrid Model for Value-at-Risk Forecasting
Get PDFIn this paper, we present a new media and social media sentiment-based hybrid GARCH-LSTM model that can more accurately forecast volatility and Value-at-Risk of individual stocks than models proposed by previous studies. Various families of GARCH models and their hybrid extensions have been developed to achieve more accurate conditional volatility forecasts. However, in this paper, we demonstrate that the performance of these models can be significantly enhanced by incorporating different sentiment indicators on external media platforms. We emphasize the nonlinear relationship between variance and sentiment indices and how this relationship can be integrated into various volatility forecasting models. By leveraging the refined predictive capabilities of our extended models, we consolidate them with empirical applicability in the realm of financial risk assessment. Our approach enhances the traditional Value-at-Risk methodology, facilitating a more precise estimation of potential financial losses and offering a robust foundation for strategic risk management decisions. To evaluate our models, we conducted an empirical study on the logarithmic returns of individual stocks comprising the S&P 500 index from 2019 to 2024. In conjunction with the standard Value-at-Risk statistical tests, our study incorporates different loss functions to examine prospective loss magnitudes. Our frameworks demonstrate superior performance in comparison to the traditional GARCH model for a considerable subset of equities, as determined by conventional Value-at-Risk statistical evaluations. Furthermore, comparative analysis indicates that the proposed model ensures the most accurate conditional volatility forecast and its Value-at-Risk estimation achieves the smallest expected loss while satisfying all the statistical tests. These results underscore the superiority of our proposed model in predicting financial risk and volatility efficaciously, although we make further proposals to improve the dissemination of forecasts. © The Author(s) 2025
Egy új koncepció: a személyre szabott digitális turizmus (SZDT) bemutatása
No full textA cikk a személyre szabott digitális turizmus definícióját kívánja megfogalmazni, ami egy újszerű fogalom a turizmus területén. Annak ellenére, hogy a technológia az elmúlt évtizedben jelentős hatással volt az utazási szokásokra, a személyre szabott digitális turizmus elméleti kifejezését még nem határozták meg. A cikk bemutatja a fogalmat, ami olyan elméletek átfogó integrációja, mint a kognitív infokommunikáció, a digitális valóság, az Y és a Z generáció elmélete, valamint a mesterséges intelligencia alapú adatkezelési megoldások. A tanulmány a személyre szabott digitális turizmus definíciójának felvázolásával kezdődik, majd a kapcsolódó tudományos megközelítéseket tárgyalja, beleértve a CogInfoCom-ot, a generációs elméleteket, a digitális valóságot és a mesterséges intelligenciát. A cikk kiemeli a turizmusban az elmúlt években tapasztalt gyors technológiai fejlődést is, hangsúlyozva az emberi viselkedés ebből adódó átalakulását. Továbbá rámutat a turizmustudomány fejlettebb fogalmi megértésének fontosságára
Architecture of the banking system of Ukraine under destructive challenges
No full textThis study examines Ukraine’s banking system architecture amid unprecedented destructive challenges including geopolitical tensions, macroeconomic instability, and technological advancements. Using systemic and institutional approaches with statistical and analytical methods, we evaluate the banking system’s capacity for self-organization and adaptation. Results indicate Ukraine’s banking system demonstrates dual nature—rapid adaptation to external shocks while remaining vulnerable to prolonged crises. Institutional flexibility emerges as crucial for enhancing resilience, with adaptability manifested through structural reconfiguration and proactive risk management. Analysis of the Financial Stress Index reveals how military aggression, exchange rate volatility, and macroeconomic factors affect financial stability. International financial organizations play a vital role through external funding and regulatory standards implementation. Government support, particularly the “5-7-9%” program, has effectively provided financing for SMEs with 69,691 loans totaling 273.1 billion of UAH issued during martial law. The research develops conceptual frameworks for strategic banking system adaptation based on seven complementary approaches that collectively enhance the sector’s institutional capacity amid uncertainty
Violin Virtuosi: Do their Performances Fade over Time?
No full textIn many professional activities humans are getting better generation by generation. This is supposed to be the case, for instance, in sports and in science. Is it true in the arts? In this paper, we consider violinists from the time period in which audio and video recordings became possible. Based on the number of YouTube views, and by employing different aggregation methods, we find that listening to violinists from the mid of the previous century does not seem to be significantly less attractive to audiences than listening to contemporary violinists. Methodologically, our analysis contributes to the growing literature on the aggregation of incomplete lists. In particular, we introduce a generalization of the Nash collective utility function for incomplete lists
A clustering approach for pairwise comparison matrices
No full textWe consider clustering in group decision making where the opinions are given by pairwise comparison matrices. In particular, the k-medoids model is suggested to classify the matrices since it has a linear programming problem formulation that may contain any condition on the properties of the cluster centres. Its objective function depends on the measure of dissimilarity between the matrices but not on the weights derived from them. Our methodology provides a convenient tool for decision support, for instance, it can be used to quantify the reliability of the aggregation. The proposed theoretical framework is applied to a large-scale experimental dataset, on which it is able to automatically detect some mistakes made by the decision-makers, as well as to identify a common source of inconsistency
Misaligned incentives in sports : a mathematical analysis of the post-2024 UEFA Champions League qualification
No full textUnion of European Football Associations (UEFA) declares that it is committed to respecting the fundamental values of sports. However, the qualification rules of the post-2024 UEFA Champions League are shown to be unfair: a game with misaligned incentives was narrowly avoided in the 2023/24 German Bundesliga. We develop a mathematical model to reveal how incentives for losing can be reduced or eliminated. Since UEFA repeatedly commits the same theoretical mistake in designing the qualification system of its competitions, governing bodies in sports are called to work more closely together with the scientific community