Publisher: Redfame Publishing   (Total: 7 journals)   [Sort by number of followers]

Showing 1 - 7 of 7 Journals sorted alphabetically
Applied Economics and Finance     Open Access   (Followers: 11)
Applied Finance and Accounting     Open Access   (Followers: 9)
Business and Management Studies     Open Access   (Followers: 13)
Intl. J. of Social Science Studies     Open Access   (Followers: 14)
J. of Education and Training Studies     Open Access   (Followers: 4)
Studies in Engineering and Technology     Open Access  
Studies in Media and Communication     Open Access   (Followers: 15, SJR: 0.401, CiteScore: 1)
Similar Journals
Journal Cover
Business and Management Studies
Number of Followers: 13  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2374-5916 - ISSN (Online) 2374-5924
Published by Redfame Publishing Homepage  [7 journals]
  • The Impact of Online Negative Reviews on Consumer Purchasing Intention in
           the Apparel Industry: The Mediating Role of Perceived Risk

    • Authors: Yuhui Yang; Xiangmei Li
      Abstract: This paper constructs a model that examines how online negative reviews impact consumer purchasing intention in the apparel industry under the mediating role of perceived risk. A questionnaire survey was conducted among consumers in the clothing industry, and the collected data underwent descriptive statistical analysis, correlation analysis, and regression analysis. The results indicate that the quantity, content quality, and perceived risk of online negative reviews negatively affect purchasing intention, with the inhibitory effect of content quality being particularly prominent. Furthermore, the mediating impact of perceived risk is validated. To better understand the perceptual processes behind consumer behavior, this study reveals this connection and provides targeted online reputation management recommendations for apparel businesses. The managerial implications of this paper lie in the necessity for clothing enterprises to establish effective feedback mechanisms for online negative reviews and implement measures to reduce consumers’ perceived risk in purchasing decisions.
      PubDate: Sun, 31 Dec 2023 00:00:00 -080
       
  • Lovemarks Drivers Effect on Luxury Fashion Brands Emotional Attachment

    • Authors: Fatma Ali; Hala M. Labib Enaba
      Abstract: This research endeavors to investigate the effect of lovemarks on luxury fashion consumer decision-making in Egypt, examining its implications on the international competitive posture of Egyptian luxury firms. It seeks to bridge a significant research gap in the understanding of luxury consumer behavior in Egypt, particularly against the backdrop of global luxury market transformations. The study's objectives encompass the analysis of critical lovemarks drivers effecting luxury purchases and the exploration of the interplay between love and respect in the emotional attachment between consumers and brands. Employing a positivist epistemological approach, this research utilizes a deductive methodology within a cross-sectional framework, underpinned by quantitative data analysis from 440 luxury brand consumers. A five-point Likert scale questionnaire, informed by non-probability judgmental sampling based on socio-economic and lifestyle criteria, elucidates consumer perspectives. Structural Equation Modeling (SEM) identifies intimacy, sensuality, and mystery as pivotal in nurturing brand love, while trust, performance, and reputation predominantly foster brand respect. Notably, intimacy emerges as the most influential factor in developing brand love, underscoring the value of personal brand-consumer connections. From an academic standpoint, this study contributes to the scholarly dialogue on luxury consumer behavior, with a special focus on the Egyptian milieu. In practical terms, it provides luxury brands with strategic insights for intensifying marketing approaches through emotional engagement and narrative construction. These insights are crucial for stakeholders in luxury brands, offering a strategic framework to enhance investment decision-making and bolster consumer loyalty in a culturally varied market.
      PubDate: Sun, 31 Dec 2023 00:00:00 -080
       
  • Hedging Interest Rate Options with Reinforcement Learning: an
           investigation of a heavy-tailed distribution

    • Authors: Allan Jonathan da Silva; Jack Baczynski, Leonardo Fagundes de Mello
      Abstract: Purpose: The study intends to model an interest rate index option using a heavy-tailed distribution. The goal is to calculate the interest rate path-dependent option prices that are consistent with market data and to develop a reinforcement learning strategy to discretely hedge the position considering transaction costs. Methodology: This paper presents a mathematical framework to calculate the price of interest rate path-dependent options. The research adapted a Fourier cosine series formula to employ the characteristic function of the present value of the forward index, which is modeled as a variance-gamma process and uses deep Q-learning to hedge such options. Findings: There is market evidence that the implied volatility curve is not flat. The study demonstrated that the variance-gamma process generates an increasing volatility smile, which is consistent with market observations. Additionally, hedging results show that the path-dependent options generated from the variance-gamma process can be efficiently hedged with advanced Q-learning techniques. Research limitations/implications: The study comprised only the variance-gamma process. Other probability distributions, such as the Normal Inverse Gaussian model, should be investigated. Practical implications: This study reveals which type of probability distribution should be present in a pricing engine to be consistent with implied volatilities. The approach provided here can assist managers in evaluating and comprehending market pricing behavior as well as achieving discrete hedging with costs. Originality: The paper addressed the merging of a fast pricing method for the interest rate options with a heavy-tailed distribution and the discrete interest rate derivatives hedging with reinforcement learning.
      PubDate: Wed, 20 Dec 2023 04:37:57 -080
       
  • Innovation Capacity in Courts: A Theoretical Framework and Research Agenda

    • Authors: Leonardo Ferreira Oliveira; Tomas Aquino Guimaraes
      Abstract: Innovation in the public sector is a subject that has attracted increasing interest of public managers, policymakers, and scholars, encompassing a possible response to the complex and uncertain context experienced by governments worldwide. In the same way, the search for efficiency and effectiveness has driven the development and adoption of innovations in courts given the influence that these institutions have on the social and economic development of countries. In this sense, understanding what influences the innovation capacity in courts is an important topic for investigation. This paper contributes to this matter, using the Resource-Based View and Dynamic Capabilities approach, by analyzing the recent scientific literature on innovation capacity in the public sector, which allowed the identification of six main factors: Leadership, Team Behavior, Collaboration, Organizational Resources, Knowledge Management, and Information Technology. This leads to the proposal of a theoretical framework of the main factors associated with innovation capacity in courts. The theoretical and practical implications of the framework are discussed, and six propositions to drive a research agenda are presented.
      PubDate: Thu, 24 Aug 2023 19:05:26 -070
       
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 44.192.20.240
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-
JournalTOCs
 
 

Publisher: Redfame Publishing   (Total: 7 journals)   [Sort by number of followers]

Showing 1 - 7 of 7 Journals sorted alphabetically
Applied Economics and Finance     Open Access   (Followers: 11)
Applied Finance and Accounting     Open Access   (Followers: 9)
Business and Management Studies     Open Access   (Followers: 13)
Intl. J. of Social Science Studies     Open Access   (Followers: 14)
J. of Education and Training Studies     Open Access   (Followers: 4)
Studies in Engineering and Technology     Open Access  
Studies in Media and Communication     Open Access   (Followers: 15, SJR: 0.401, CiteScore: 1)
Similar Journals
Similar Journals
A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  All
HOME > Browse the 3359 Publishers covered by JournalTOCs 1 2 3 4 5 6 7 8  
PublisherTotal Journals
1 2 3 4 5 6 7 8  
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 44.192.20.240
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-