2021 ◽  
pp. 135581962110354
Author(s):  
Anthony W Gilbert ◽  
Emmanouil Mentzakis ◽  
Carl R May ◽  
Maria Stokes ◽  
Jeremy Jones

Objective Virtual Consultations may reduce the need for face-to-face outpatient appointments, thereby potentially reducing the cost and time involved in delivering health care. This study reports a discrete choice experiment (DCE) that identifies factors that influence patient preferences for virtual consultations in an orthopaedic rehabilitation setting. Methods Previous research from the CONNECT (Care in Orthopaedics, burdeN of treatmeNt and the Effect of Communication Technology) Project and best practice guidance informed the development of our DCE. An efficient fractional factorial design with 16 choice scenarios was created that identified all main effects and partial two-way interactions. The design was divided into two blocks of eight scenarios each, to reduce the impact of cognitive fatigue. Data analysis were conducted using binary logit regression models. Results Sixty-one paired response sets (122 subjects) were available for analysis. DCE factors (whether the therapist is known to the patient, duration of appointment, time of day) and demographic factors (patient qualifications, access to equipment, difficulty with activities, multiple health issues, travel costs) were significant predictors of preference. We estimate that a patient is less than 1% likely to prefer a virtual consultation if the patient has a degree, is without access to the equipment and software to undertake a virtual consultation, does not have difficulties with day-to-day activities, is undergoing rehabilitation for one problem area, has to pay less than £5 to travel, is having a consultation with a therapist not known to them, in 1 weeks’ time, lasting 60 minutes, at 2 pm. We have developed a simple conceptual model to explain how these factors interact to inform preference, including patients’ access to resources, context for the consultation and the requirements of the consultation. Conclusions This conceptual model provides the framework to focus attention towards factors that might influence patient preference for virtual consultations. Our model can inform the development of future technologies, trials, and qualitative work to further explore the mechanisms that influence preference.


2019 ◽  
Vol 25 (7) ◽  
pp. 1070-1083 ◽  
Author(s):  
Juan Luis Nicolau ◽  
Abhinav Sharma ◽  
Tal Zarankin

On September 18, 2017, the organizers of the 2018 Giro d’Italia announced that for the first time in its history, this world famous event would begin outside of Europe—in Israel. This article contributes to the literature by taking advantage of this unique opportunity of analysis; in particular, it tests the effect that this announcement had upon Israeli tourism companies’ market value. The results show that on the very same day the announcement was made, there was an increment in the firm value of these companies. We propose a conceptual model and argue that the hype generated helps enhance the country’s image, leading to higher expectations of incoming tourism. This article presents a contribution to the growing evidence regarding the impact of such announcements upon actual market value of tourism companies.


2021 ◽  
Vol 4 (13(112)) ◽  
pp. 101-112
Author(s):  
Olexander Bugrov ◽  
Olena Bugrova

A conceptual model for analyzing the dynamics of the value of the project, achieved as a result of engineering, under conditions of uncertainty has been developed. In the methodological context, the proposed approach is based on an array of isovalues, each of which corresponds to its own level of optimism in forecasting the cash flow for the project. With the increase in the efficiency of the project due to engineering, the entire array of iso-value lines’ changes its geometrical position, moving further from the origin (in the four-dimensional space "time-benefit-cost-risk"). The proposed model includes three stages. At the first stage, input information is collected and the corresponding analysis is initiated. The result of the second stage is a multivariate cash flow forecast and calculation of the benefit-cost ratio (BCR) and its changes for each scenario. The third stage provides the calculation of the expected BCR and its change, an assessment of the risk of making an erroneous decision and changing this risk as a result of the engineering session. The model makes it possible to calculate the achieved proportion of the static and dynamic vectors of change in the value of the project, which is one of the key manifestations of the scientific novelty of the work. In the example considered, the share of the dynamic vector of growth in the value of the project was found to be 35.47 %. The model has an environmental property - the assessment of the success of value engineering under conditions of uncertainty is carried out on the basis of the annual total benefits and the annual total costs throughout the project cycle. Thus, the analysis takes into account the impact of the project on the environment, which is reflected in the risk assessment. The given case testifies to the feasibility of applying the model in the practice of engineering the value of construction projects.


2012 ◽  
Vol 9 (11) ◽  
pp. 13155-13189
Author(s):  
S. Baram ◽  
Z. Ronen ◽  
D. Kurtzman ◽  
C. Küells ◽  
O. Dahan

Abstract. A study on water infiltration and solute transport in a clayey vadose zone underlying a dairy farm waste source was conducted to assess the impact of desiccation cracks on subsurface evaporation and salinization. The study is based on five years of continuous measurements of the temporal variation in the vadose zone water-content and on the chemical and isotopic composition of the sediment and pore-water in it. The isotopic composition of water stable isotopes (δ18O and δ2H) in water and sediment samples, from the area where desiccation crack networks prevail, indicated subsurface evaporation down to ∼3.5 m below land surface, and vertical and lateral preferential transport of water, following erratic preferential infiltration events. Chloride (Cl-) concentrations in the vadose zone pore water substantially increased with depth, evidence of deep subsurface evaporation and down flushing of concentrated solutions from the evaporation zones during preferential infiltration events. These observations led to development of a Desiccation-Crack-Induced Salinization (DCIS) conceptual model. DCIS suggests that thermally driven convective air flow in the desiccation cracks induces evaporation and salinization in relatively deep sections of the subsurface. This conceptual model supports previous conceptual models on vadose zone and groundwater salinization in fractured rock in arid environments and extends its validity to clayey soils in semi-arid environments.


Author(s):  
Kevin K.W. Ho ◽  
Byungjoon Yoo ◽  
Seunghee Yu ◽  
Kar Yan Tam

While previous studies on buy-it-now (BIN) auctions focus on the impact of BIN format on economic performances, our study focuses on factors that affect the level of use of BIN auctions by sellers. We propose a conceptual model where culture and product categories are two important factors on the level of use of BIN auctions. Our empirical investigation shows that the level of use of BIN auctions can be explained by the Hofstede Cultural Dimensions. While power distance brings a positive impact, uncertainty avoidance and individualism bring negative impacts on the level of use of BIN auctions by sellers of different countries. Our result also shows that the level of use of BIN auctions by sellers increases with the ease of judging product quality. Our results provide valuable insights for marketplace operators to refine their business strategies and market mechanisms for expanding their businesses to overseas markets.


2020 ◽  
Vol 24 (3) ◽  
pp. 361-380 ◽  
Author(s):  
Youssef Chetioui ◽  
Hikma Benlafqih ◽  
Hind Lebdaoui

PurposeThis study examines the impact of attitudes toward fashion influencers (FIs) on brand attitude and consumer purchase intention. It also aims to identify factors affecting consumers' attitudes toward FIs.Design/methodology/approachTo achieve this goal, the authors propose a conceptual model that combines the theory of planned behavior (TPB) and theoretical outcomes of prior literature related to influencer marketing. Based on data collected from 610 Moroccan respondents, the authors empirically test the conceptual model using a partial least squares (PLS) estimation.FindingsThis study illustrates that attitudes toward FIs positively impact brand attitude and consumer purchase intention. The authors also demonstrate that perceived credibility, trust, perceived behavioral control, perceived subjective norms, perceived expertise and perceived congruence positively impact attitudes toward FIs.Practical implicationsThe study findings help marketers and advertisers in the fashion industry to understand how influencer marketing contributes to consumer purchase intention. They also allow marketers to understand factors explaining attitudes toward FIs and therefore better select influencers capable of creating purchase intentions among existing and potential customers.Originality/valueThe present paper bridges a gap pertaining to antecedents and factors that impact attitudes toward FIs and consumer purchase intention. To the authors’ knowledge, this study is the first of its kind to investigate the impact of attitudes toward influencers on both brand attitude and purchase intention in the fashion industry.


2013 ◽  
Vol 17 (4) ◽  
pp. 1533-1545 ◽  
Author(s):  
S. Baram ◽  
Z. Ronen ◽  
D. Kurtzman ◽  
C. Külls ◽  
O. Dahan

Abstract. A study on water infiltration and solute transport in a clayey vadose zone underlying a dairy farm waste source was conducted to assess the impact of desiccation cracks on subsurface evaporation and salinization. The study is based on five years of continuous measurements of the temporal variation in the vadose zone water content and on the chemical and isotopic composition of the sediment and pore water in it. The isotopic composition of water stable isotopes (δ18O and δ2H) in water and sediment samples, from the area where desiccation crack networks prevail, indicated subsurface evaporation down to ~ 3.5 m below land surface, and vertical and lateral preferential transport of water, following erratic preferential infiltration events. Chloride (Cl−) concentrations in the vadose zone pore water substantially increased with depth, evidence of deep subsurface evaporation and down flushing of concentrated solutions from the evaporation zones during preferential infiltration events. These observations led to development of a desiccation-crack-induced salinization (DCIS) conceptual model. DCIS suggests that thermally driven convective air flow in the desiccation cracks induces evaporation and salinization in relatively deep sections of the subsurface. This conceptual model supports previous conceptual models on vadose zone and groundwater salinization in fractured rock in arid environments and extends its validity to clayey soils in semi-arid environments.


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