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Results 161-170 of 354 (Search time: 0.009 seconds).
  • Authors: Josep-Maria, Arauzo-Carod; Eva, Coll-Martínez; Camelia, Turcu;  Advisor: -;  Co-Author: - (2023)

    This paper focuses on creative industries and the role played by the existing spatial distribution and agglomeration economies of these activities in relation to their entry decisions. We rely on employment and firm-level data in the creative industries (provided by INSEE) and compare the location of new establishments in the creative and non-creative industries between 2009 and 2013 in French departments (NUTS 3 regions). We use count data models and spatial econometrics to show that location determinants are rather similar in creative and non-creative industries and that specialisation in creative industries positively influences the entry of all other industries. The French case provides new insights to understand the geographical patterns of creative industries.

  • Authors: Jia-Ping, Huang; Yang, Zhang; Juanxi, Wang;  Advisor: -;  Co-Author: - (2023)

    This paper examines the dynamic effects of Social Influence on asset prices in the presence of heterogeneous expectations among investors. In our model, the choices of investors’ trading strategies are influenced not only by past payoffs but also by their neighbors’ choices in the social network. To obtain tractable results with generic implications for social structure, we use a mean-field approximation approach rather than specifying the exact structure of social network. Analytical conditions for the existence and local stability of equilibria of price dynamics are established and validated through numerical simulations. Our analysis shows that social influence increases the dimension of the dynamical system and that equilibria can only be expressed implicitly as solutions of cer...

  • Authors: Husam, Rjoub; Tomiwa Sunday, Adebayo; Dervis, Kirikkaleli;  Advisor: -;  Co-Author: - (2023)

    The study aims to investigate the financial technology (FinTech) factors influencing Chinese banking performance. Financial expectations and global realities may be changed by FinTech’s multidimensional scope, which is lacking in the traditional financial sector. The use of technology to automate financial services is becoming more important for economic organizations and industries because the digital age has seen a period of transition in terms of consumers and personalization. The future of FinTech will be shaped by technologies like the Internet of Things, blockchain, and artificial intelligence. The involvement of these platforms in financial services is a major concern for global business growth. FinTech is becoming more popular with customers because of such benefits.

  • Authors: Kanika, Goel; Wasana, Bandara; Guy, Gable;  Advisor: -;  Co-Author: - (2023)

    ‘Business Process Standardization’ (BPS) is a practice intended to achieve consistency across underlying organizational processes, in support of service-delivery excellence and optimization of costs and benefits. Given the growing importance of BPS, there is need in both research and practice for clearer conceptual understanding of the notion. Following a systematic literature review approach, prior work on Business Process Standardization is synthesized and extended using tool-supported qualitative data analysis techniques, to derive an evidence-based, holistic conceptualization of BPS. We distil seven stages of BPS execution, propose a refined definition for BPS, and identify measures that gauge the several conceptual themes of BPS. The findings provide solid theoretical foundatio...

  • Authors: Melina, Dritsaki; Chaido, Dritsaki;  Advisor: -;  Co-Author: - (2023)

    Τhe current paper examines the relationship between per capita health care expenditures, per capita CO2 emissions, and per capita gross domestic product (GDP) in G7 countries. At the beginning, we examine the cross-sectional dependence and the slope homogeneity between the countries. Then, the second-generation unit root test is applied using the Pesaran, CIPS (2007) test, while for the cointegration test, the Westerlund (Oxford Bulletin of Economics and Statistics 69(6):709-748, 2007) test was applied. The long -run panel cointegration coefficients were analyzed with the augmented mean group (AMG) estimators, which allow the cross-sectional dependence and heterogeneity.

  • Authors: William, Fritz; Rhonda, Hadi; Andrew, Stephen;  Advisor: -;  Co-Author: - (2023)

    Augmented reality (AR) technology has generated enormous industry investment and buzz, with the food and beverage sector quickly embracing this technology in an effort to enhance the customer experience. However, academic research has only just begun to empirically explore how and why this technology might influence consumer judgements and behaviors in such contexts. Across two field studies involving consequential behavior and two controlled laboratory studies, we find that AR’s unique ability to visually superimpose objects onto a real-time environment increases consumers’ ability to mentally simulate consuming a pictured food, which in turn increases their desire and purchase likelihood of the food item. Further, we find the increased mental simulation produced by AR is itself pr...

  • Authors: Telma, Mendes; Vítor, Braga;  Advisor: -;  Co-Author: - (2023)

    This article aims to explore how innovation activities and cluster affiliation moderate the relationship between family involvement and post-internationalization speed in family firms. Based on a sample of 639 Portuguese family businesses (FBs) created and internationalized between 2010 and 2018, we show that, all things being equal, higher levels of family involvement in ownership and management lead to a lower post-internationalization speed. When considering the effect of cluster affiliation, we found that clustered FBs have a lower propensity to slow down the post-internationalization process than their non-clustered counterparts.

  • Authors: Dávid Zoltán, Szabó; Zsolt, Bihary;  Advisor: -;  Co-Author: - (2023)

    To efficiently assess the performance of investing in stocks rather than in a bank account for the long run, stochastic interest rate modelling is advocated. We introduce a correlated stochastic interest rate model that addresses this problem. We derive analytic formulas for general spectral risk measures in our setting, and apply our results to Value at Risk, Expected Shortfall and GlueVaR. We characterize the short- and long-term behaviour of these risk measures. We fit our model to financial markets, perform an empirical study and evaluate risk numbers for realistic scenarios in the future. Our results reveal sizeable sensitivities on parameter estimation, but we may conclude that holding stocks for less than a few decades bears significant risk.

  • Authors: Thomas, Wieland;  Advisor: -;  Co-Author: - (2023)

    During the COVID-19 pandemic, e-commerce’s market share has increased dramatically, a phenomenon attributable to not only lockdowns but to voluntary changes in shopping behavior as well. The current study examines the main determinants driving shopping behavior in the context of both physical and online store availability, and investigates whether specific drivers have changed during the pandemic. The study aims to test whether fear of infection and mandatory wearing of face masks in shops have influenced consumer channel choice. The empirical analysis focuses on two product types (consumer electronics, furniture), with empirical data collected via a representative consumer survey in three German regions.

  • Authors: Kateryna, Czerniachowska; Krzysztof, Michalak; Marcin, Hernes;  Advisor: -;  Co-Author: - (2023)

    The retailers’ goals to maximize the profit of the products in stores are realized on the planogram shelves. In this paper, we investigated a practical shelf space allocation model with a visible horizontal and vertical grouping of products into categories, which takes into account the number of facings, capping and nesting of a product. The result is four groups of constraints, such as shelf constraints, product constraints, multi-shelves constraints, and category constraints that are used in the model. We proposed 6 heuristics to solve the planogram profit maximization problem. The developed techniques on which heuristics are based may be applied to other category of management shelf space allocation problems because all of them share the same nature of the problem, i.e., the init...