Medical tourism is an expanding phenomenon. Scientific studies address the changes and challenges of the present and future trend. However, no research considers the study of bibliometric variables and area of business, management and accounting. This bibliometric analysis discovered the following elements: (1) The main articles are based on guest services, management, leadership principles applied, hotel services associated with healthcare, marketing variables and elements that guide the choice in medical tourism; (2) The main authors do not deal with tourism but are involved in various ways in the national health system of the countries of origin or in WHO; (3)cost-efficiency and analytical accounting linked to medical tourism structures and destination choices are not yet developed topics.
There is great interest about the individual differences that influence the ability of dealing with risky decisions. In this light, an intriguing question is whether decision-making during risk is related to other cognitive abilities, especially executive functions. To investigate, in healthy subjects, the existence of a possible correlation between risk-taking and cognitive abilities, the balloon analogue risk task (BART) has been exploited to assess risk-taking propensity and the random number generation (RNG), to investigate cognitive functions. The risk-taking propensity is significantly correlated with the Cycling factor, a feature of RNG performance specifically related to the ability of updating and monitoring information. In particular, an excessive activity of monitoring (expressed by lower values of Cycling factor) is related to a more risk-averse behavior. An overlapping between the circuits involved in both RNG and BART, centered on the dorsolateral prefrontal cortex, could be the possible neurophysiological substrate for this correlation. This study suggests a relevant contribution of executive functions in risk-taking behavior. This could have relevant implications in neuroeconomics and neuropsychiatry of addiction and pathological gambling.
PurposeThe purpose of this paper is to present and discuss a model to evaluate the top management quality and its impact on the default probability/survival probability of companies operating in the Italian food and beverage industry. The focus is on SMEs and private companies (ie. companies with no external or public rating). The general aim of this paper is to initiate a new field of research enjoying the fast and growing number of information underlying the development of the private lending market (both banking channel and private debt channel) and the recent developments in assessing the managerial styles of leadership.Design/methodology/approachThe methodology used in the research is a mixed method based on quantitative and qualitative analysis. The authors have followed the sequential mixed methods design (Creswell and Plano Clark, 2007; Almalki, 2016) belonging to a practice perspective (Tashakkori and Creswell, 2007). The two components (quantitative and qualitative) are integrated in the combined approach: a final proposed evaluation model is explained and discussed.FindingsAccording to the experience (and private market best practice) the leadership style has a material impact on the survival probability of a company (and, on the contrary, on the default probability of a company). In other words, the leadership style – other variables be equal – can provide significant information to investors about the future evolution of the financial performance and related credit risk. In the paper, the authors provide a useful model (and tool) in order to capture the above mentioned relationship to support investment decisions in food and beverage industry.Research limitations/implicationsWhile a positive relationship between a participative style of leadership and the financial performance is widely accepted in the literature; there is no published research on the relationship between managerial styles of leadership and default probability/survival probability. There are several workstreams to be performed in future research in order (1) to provide more business evidence and (2) to extent the analysis to further industries (other than food and beverage). The first step is to collect more data and company information on managerial styles of leadership and to start to track, to measure and monitor the evolution of the credit risk over time in each of the four clusters identified in the combined model.Practical implicationsThe practical implication is to provide a methodological contribution to develop an evaluation model of top management quality to be used for the certification of the quality system. The proposed evaluation model is intended to support both (1) the ISO quality management system certifiers and (2) financial analysts and auditors in order to assess the going concern and the business sustainability and (3) the credit risk assessment and evolution in investment decisions.Social implicationsThe authors believe that a more deep understanding on the effectiveness of managerial styles of leadership on credit risk can improve the credit and investment allocation and to enhance the borrowing capabilities of the food and beverage industry (with relevant implications on number of employees and size of new investments).Originality/valueThis is the first applied research on the link between the default probability/company survival probability and the quality of management in the Italian food and beverage industry.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.