Brendel, Alfred Benedikt

[["dc.bibliographiccitation.firstpage","4375"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Sustainability"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Engelbrecht, Nils"],["dc.contributor.author","Lembcke, Tim-Benjamin"],["dc.contributor.author","Brendel, Alfred Benedikt"],["dc.contributor.author","Bizer, Kilian"],["dc.contributor.author","Kolbe, Lutz M."],["dc.date.accessioned","2021-06-01T09:42:42Z"],["dc.date.available","2021-06-01T09:42:42Z"],["dc.date.issued","2021"],["dc.description.abstract","It is controversially discussed if and which interventions policymakers should implement to promote healthier, more sustainable, and more ethical food choices. Often, policy measures suffer from a lack of data. This is especially true for the growing field of online grocery shopping. Yet, it not always feasible to test the impact of each possible policy intervention in the field. Here, computer-simulated shopping experiments offer a complementary approach. Recent evidence suggests that they heighten the realism of consumer experiments and collect valid data at a relatively low cost. In this paper, we introduce an open-source toolset that offers multiple avenues to develop and run experiments in the context of online grocery shopping. Hence, it supports researchers and policy makers in evaluating instore-intervention aiming to support more sustainable food choices."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.3390/su13084375"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/85326"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","2071-1050"],["dc.relation.orgunit","Professur für Wirtschaftspolitik und Mittelstandsforschung"],["dc.rights","CC BY 4.0"],["dc.title","The Virtual Online Supermarket: An Open-Source Research Platform for Experimental Consumer Research"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","3169"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Sustainability"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Lembcke, Tim-Benjamin"],["dc.contributor.author","Willnat, Mathias"],["dc.contributor.author","Lechte, Henrik"],["dc.contributor.author","Greve, Maike"],["dc.contributor.author","Heinsohn, Julia"],["dc.contributor.author","Brendel, Alfred Benedikt"],["dc.date.accessioned","2021-06-01T09:42:42Z"],["dc.date.available","2021-06-01T09:42:42Z"],["dc.date.issued","2021"],["dc.description.abstract","The growing influx of people to urban areas has resulted in a tense housing market in many places, making the search for a suitable residence an increased challenge. Dedicated online platforms facilitate this process and offer two distinct approaches to find suitable accommodations concerning its location. Traditionally, users can search for a general area like a city to narrow down the results displayed. Additionally, some platforms offer searches based on the maximum commute time between apartments and points of interest. This paper investigates the benefit such approaches yield concerning technology acceptance and the fit of the task and information representation. Thus, a prototypically implemented online platform with and without a commute time search feature was evaluated in an online experiment. The treatment specification achieved significantly better results in terms of information quality and technology acceptance, implicating that such a design should be preferred for websites that facilitate the search for apartments. These insights can contribute to an enhanced understanding of visual system design to reduce the negative sustainability impacts of traffic induced by a divergence of residential and workplaces."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.3390/su13063169"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/85324"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","2071-1050"],["dc.relation.orgunit","Professur für Informationsmanagement"],["dc.rights","CC BY 4.0"],["dc.title","Mobility Need-Adaptive Housing Platforms: The Benefit of a Commute Time Search Feature"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1974"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Sustainability"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Brendel, Alfred Benedikt"],["dc.contributor.author","Mirbabaie, Milad"],["dc.contributor.author","Lembcke, Tim-Benjamin"],["dc.contributor.author","Hofeditz, Lennart"],["dc.date.accessioned","2021-04-14T08:27:51Z"],["dc.date.available","2021-04-14T08:27:51Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.3390/su13041974"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82429"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.publisher","MDPI"],["dc.relation.eissn","2071-1050"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Ethical Management of Artificial Intelligence"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]