Elshiewy, Ossama

[["dc.bibliographiccitation.artnumber","S0195666322001398"],["dc.bibliographiccitation.firstpage","106048"],["dc.bibliographiccitation.journal","Appetite"],["dc.contributor.author","Gesa, Stremmel"],["dc.contributor.author","Ossama, Elshiewy"],["dc.contributor.author","Yasemin, Boztug"],["dc.contributor.author","Fernanda, Carneiro-Otto"],["dc.date.accessioned","2022-05-02T08:09:48Z"],["dc.date.available","2022-05-02T08:09:48Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1016/j.appet.2022.106048"],["dc.identifier.pii","S0195666322001398"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/107467"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-561"],["dc.relation.issn","0195-6663"],["dc.title","Vegan labeling for what is already vegan: Product perceptions and consumption intentions"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Bidmon, Sonja"],["dc.contributor.author","Elshiewy, Ossama"],["dc.contributor.author","Terlutter, Ralf"],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.date.accessioned","2020-03-09T13:57:21Z"],["dc.date.available","2020-03-09T13:57:21Z"],["dc.date.issued","2019"],["dc.description.abstract","Background: Customer-oriented health-care management and patient satisfaction have become important for physicians to attract patients in an increasingly competitive environment. Satisfaction influences patients’ choice of the physician and leads to higher patient retention and higher willingness to engage in positive word-of-mouth. In addition, higher satisfaction has positive effects on patients’ willingness to follow advice given by the physician. In recent years, physician-rating websites (PRW) have emerged in the health-care sector and are increasingly used by patients. Patients’ usage includes either posting an evaluation to provide feedback to others about the own experience with a physician or reading evaluations of other patients prior to choosing a physician. The emergence of PRW, however, offers new avenues to analyze patient satisfaction and its key drivers. PRW data enable both satisfaction analyses and implications on the level of the individual physician as well as satisfaction analyses and implications on an overall level. Objective: This research identifies linear and nonlinear effects of patients’ perceived quality of physician appointment service attributes on overall evaluation measures. Methods: It is based on large-scale survey data from a German physician-rating website including 84,680 ratings of 7,038 physicians on 24 service attributes and four overall evaluation measures. Multiplicative regression models are estimated with perceived attribute quality as explanatory variables and overall evaluation measures as dependent variables. Depending on the slope (concave, linear or convex), service attributes are classified into three categories: attributes with diminishing, constant, or increasing returns to overall evaluation. Results: The proposed approach reveals new insights about what patients value when visiting physicians and what they take for granted. Improvements in the physician’s pleasantness and friendliness have increasing returns to overall evaluation (beta=1.26). The practices’ cleanliness (beta=1.05) as well as the communication behavior of a physician during the encounter (beta between 0.97 and 1.03) have constant returns. Indiscretion in the waiting rooms, extended waiting times, a lack of modernity of the medical equipment (beta between 0.46 and 0.59) by contrast, have the most pronounced diminishing returns to overall evaluation. Conclusions: The categorization of the service attributes supports physicians in identifying potential for improvements and prioritizing resource allocation. Thus, the study contributes to patient-centered health-care management and furthermore promotes the utility of physician-rating websites through large-scale data analysis. In terms of methodology, service researchers can apply the multiplicative regression approach in multiattribute models to identify diminishing, constant, or increasing returns in various settings."],["dc.identifier.doi","10.2196/preprints.13830"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63241"],["dc.language.iso","en"],["dc.title","What Patients Really Value in Physicians and What They Take for Granted: An Analysis of Large-Scale Data from a Physician-Rating Website"],["dc.type","preprint"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","106270"],["dc.bibliographiccitation.journal","Appetite"],["dc.contributor.author","Schirmacher, Helena"],["dc.contributor.author","Elshiewy, Ossama"],["dc.contributor.author","Boztug, Yasemin"],["dc.date.accessioned","2022-09-01T09:49:29Z"],["dc.date.available","2022-09-01T09:49:29Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1016/j.appet.2022.106270"],["dc.identifier.pii","S0195666322003610"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/113433"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-597"],["dc.relation.issn","0195-6663"],["dc.rights.uri","https://www.elsevier.com/tdm/userlicense/1.0/"],["dc.title","That's not natural! Consumer response to disconfirmed expectations about ‘Natural’ food"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e13830"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Medical Internet Research"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Bidmon, Sonja"],["dc.contributor.author","Elshiewy, Ossama"],["dc.contributor.author","Terlutter, Ralf"],["dc.contributor.author","Boztug, Yasemin"],["dc.date.accessioned","2020-12-10T18:43:06Z"],["dc.date.available","2020-12-10T18:43:06Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.2196/13830"],["dc.identifier.eissn","1438-8871"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78193"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","What Patients Value in Physicians: Analyzing Drivers of Patient Satisfaction Using Physician-Rating Website Data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","32"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Marketing"],["dc.bibliographiccitation.lastpage","49"],["dc.bibliographiccitation.volume","39"],["dc.contributor.author","Elshiewy, Ossama"],["dc.contributor.author","Guhl, Daniel"],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.date.accessioned","2020-03-09T14:03:14Z"],["dc.date.available","2020-03-09T14:03:14Z"],["dc.date.issued","2017"],["dc.description.abstract","Analysing choice behaviour has a long tradition in marketing research. Such an analysis provides valuable insights for researchers interested in understanding consumer behaviour as well as practitioners who aim to optimise their marketing-mix efforts. From this background, our paper gives an overview of the most important aspects when it comes to analysing brand choice using multinomial logit models. Starting with the theoretical foundation of choice behaviour, we move on to summarise the basic models and present the state-of-the-art extensions that account for more realistic choice behaviour. We supplement each model description with an empirical example to emphasise the advantage of each approach compared to the basic models. Finally, we summarise our key findings in the conclusions and highlight avenues for future research. In addition, we provide the estimation code in a web appendix for researchers and practitioners who want to replicate our results or analyse their own research questions using the models described in our paper."],["dc.identifier.doi","10.15358/0344-1369-2017-3-32"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63244"],["dc.language.iso","en"],["dc.relation.issn","0344-1369"],["dc.title","Multinomial Logit Models in Marketing - From Fundamentals to State-of-the-Art"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","470"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Applied Econometrics"],["dc.bibliographiccitation.lastpage","476"],["dc.bibliographiccitation.volume","32"],["dc.contributor.author","Elshiewy, Ossama"],["dc.contributor.author","Zenetti, German"],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.date.accessioned","2018-11-07T10:26:31Z"],["dc.date.available","2018-11-07T10:26:31Z"],["dc.date.issued","2017"],["dc.description.abstract","The mixed logit model is widely used in applied econometrics. Researchers typically rely on the free choice between the classical and Bayesian estimation approach. However, empirical evidence of the similarity of their parameter estimates is sparse. The presumed similarity is mainly based on one empirical study that analyzes a single dataset (Huber J, Train KE. 2001. On the similarity of classical and Bayesian estimates of individual mean partworths. Marketing Letters 12(3): 259-269). Our replication study offers a generalization of their results by comparing classical and Bayesian parameter estimates from six additional datasets and specifically for panel versus cross-sectional data. In general, our results suggest that the two methods provide similar results, with less similarity for cross-sectional data than for panel data. Copyright (C) 2016 John Wiley & Sons, Ltd."],["dc.description.sponsorship","German Research Foundation (DFG)"],["dc.identifier.doi","10.1002/jae.2513"],["dc.identifier.isi","000397856900013"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/43062"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.relation.issn","1099-1255"],["dc.relation.issn","0883-7252"],["dc.title","Differences Between Classical and Bayesian Estimates for Mixed Logit Models: A Replication Study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","Food Policy"],["dc.bibliographiccitation.lastpage","8"],["dc.bibliographiccitation.volume","53"],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.contributor.author","Juhl, Hans Jorn"],["dc.contributor.author","Elshiewy, Ossama"],["dc.contributor.author","Jensen, Morten Berg"],["dc.date.accessioned","2018-11-07T09:57:32Z"],["dc.date.available","2018-11-07T09:57:32Z"],["dc.date.issued","2015"],["dc.description.abstract","Front-of-pack (FOP) nutrition labelling has received extensive political attention in recent years. Most studies assessing the influence of nutrition labelling focus on consumer attention to labels, while few concentrate on its effects on actual purchase behaviour. In this study, we present results from an analysis of scanner data provided by a large UK retailer. We focus on two food categories, using store-brand products that are labelled with a front-of-pack, monochrome Guideline Daily Amount (GDA) nutrition label. The analyses are based on models at both an aggregated and disaggregated level to enable us to identify as many influencing factors on food choice as possible. We utilize the SSAg/1 health score for our food categories as a dependent variable to obtain an objective measure of healthiness. Our results suggest that the GDA label introduction reduces attraction of unhealthier products in terms of market share but does not affect product choice behaviour. Instead, price and habit exhibit a greater impact on purchase behaviour and product choice than the GDA label introduction. (C) 2015 Elsevier Ltd. All rights reserved."],["dc.description.sponsorship","7th EU Framework Programme Small Collaborative Project FLABEL [211905]"],["dc.identifier.doi","10.1016/j.foodpol.2015.03.002"],["dc.identifier.isi","000356120200001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37178"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1873-5657"],["dc.relation.issn","0306-9192"],["dc.title","Consumer response to monochrome Guideline Daily Amount nutrition labels"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e21057"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Journal of Medical Internet Research"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Bidmon, Sonja"],["dc.contributor.author","Elshiewy, Ossama"],["dc.contributor.author","Terlutter, Ralf"],["dc.contributor.author","Boztug, Yasemin"],["dc.date.accessioned","2021-04-14T08:31:14Z"],["dc.date.available","2021-04-14T08:31:14Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.2196/21057"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83526"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1438-8871"],["dc.title","Authors’ Reply to: Is a Ratio Scale Assumption for Physician Ratings Justified? Comment on “What Patients Value in Physicians: Analyzing Drivers of Patient Satisfaction Using Physician-Rating Website Data”"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","55"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Public Policy & Marketing"],["dc.bibliographiccitation.lastpage","67"],["dc.bibliographiccitation.volume","37"],["dc.contributor.author","Elshiewy, Ossama"],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.date.accessioned","2020-03-09T14:04:07Z"],["dc.date.available","2020-03-09T14:04:07Z"],["dc.date.issued","2018"],["dc.description.abstract","Back-of-package (BOP) nutrition information appears ineffective against increasing obesity rates. Therefore, federal agencies increasingly promote front-of-package (FOP) nutrition labels. Despite the public attention the topic has received in recent years, research is still short of evidence about the effectiveness of FOP nutrition labels in real-life settings. To add to extant literature, this study uses individual-level purchase data to analyze the impact of adding simplified FOP nutrition labels when BOP information is already available. Consumers reduced the number of calories contained in their purchases for products that started carrying a simplified FOP nutrition label. Furthermore, results show a long-term (short-term) decrease in price (promotion) sensitivity for these products after label introduction. These findings suggest that simplified FOP nutrition labels can induce healthier purchases in supermarkets compared with when only BOP nutrition information is available."],["dc.identifier.doi","10.1509/jppm.16.100"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63245"],["dc.language.iso","en"],["dc.relation.issn","0748-6766"],["dc.relation.issn","1547-7207"],["dc.relation.workinggroup","RTG 2654: Sustainable Food Systems (Related Publications)"],["dc.title","When Back of Pack Meets Front of Pack: How Salient and Simplified Nutrition Labels Affect Food Sales in Supermarkets"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","104"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of the Association for Consumer Research"],["dc.bibliographiccitation.lastpage","114"],["dc.bibliographiccitation.volume","1"],["dc.contributor.author","Elshiewy, Ossama"],["dc.contributor.author","Jahn, Steffen"],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.date.accessioned","2020-03-09T14:08:54Z"],["dc.date.available","2020-03-09T14:08:54Z"],["dc.date.issued","2016"],["dc.description.abstract","As consumers pay greater attention to nutrition content when choosing food, voluntary front-of-pack labels have become popular tools for food marketers. However, voluntary nutrition labels provide certain freedoms regarding the disclosed information, which can be exploited. A common strategy is to disclose nutrition values based on smaller recommended serving sizes, which presents the nutrition amounts favorably on the label. Problematically, consumers can misinterpret such information and draw biased conclusions regarding product healthiness. This study uses purchase data with 61 products from both healthy (yogurt) and unhealthy (cookies) categories to analyze how recommended serving sizes on nutrition labels affect food sales. In line with our predictions, sales increased after a label introduction in the healthy (but not in the unhealthy) category for products with smaller recommended serving sizes. Since the least healthy versions within the category tend to have smaller recommended serving sizes, nutrition labels can stimulate sales of unhealthier food."],["dc.identifier.doi","10.1086/684286"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63247"],["dc.language.iso","en"],["dc.relation.issn","2378-1815"],["dc.relation.issn","2378-1823"],["dc.relation.workinggroup","RTG 2654: Sustainable Food Systems (Related Publications)"],["dc.title","Seduced by the Label: How the Recommended Serving Size on Nutrition Labels Affects Food Sales"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]