Results

Found 3 articles

Clear filters

Reviewing from a Distance: Uncovering Asymmetric Moderations of Spatial and Temporal Distance between Sentiment Negativity and Rating

2023 | Management Information Systems Quarterly | Citations: 0
Authors: Neumann, Jürgen; Gutt, Dominik; Kundisch, Dennis

Abstract: Drawing on construal level theory, prior literature has found a positivity bias ... Expand

Abstract: Drawing on construal level theory, prior literature has found a positivity bias in online ratings when consumers evaluate an experience from a psychological distance, whether spatial or temporal. Selfdistancing theory posits that psychological distance enables individuals to reflect on psychologically distant negative experiences more genuinely, in a less biased way. This raises the question of whether the positivity bias in ratings due to psychological distance persists for negative experiences. To address this question, we collected data from a large review platform that enables the identification of reviewers' spatial and temporal distance. The negativity of an experience was operationalized via review text sentiment. We introduced spatial and temporal distance as moderators between sentiment negativity and ratings and found a negative moderation by spatial distance and a positive moderation by temporal distance. Our findings indicate that the relationship between sentiment negativity and rating grows stronger under spatial distance and gets weaker under temporal distance. Text mining confirmed selfdistancing as the driver behind the spatial moderation and construal levels as the driver behind the temporal moderation. We attribute the asymmetric moderations to differences in the tangibility of spatial distance (more tangible) and temporal distance (less tangible). These results improve our understanding of reviewing behavior and can help platforms de-bias ratings. Collapse

Semantic filters: linguistic category model

Topics: online review decision making user-generated content website media richness

Methods: product review theory development robustness check sentiment analysis descriptive statistic

Theories: linguistic category model construal level theory media richness theory
Detection of early warning signals for overruns in IS projects: linguistic analysis of business case language
PDF
2020 | European Journal of Information Systems | Citations: 10
Authors: Benschop, Nick; Hilhorst, Cokky A. R.; Nuijten, Arno L. P.; Keil, Mark

Abstract: Many Information Systems (IS) projects fail to be completed within budget and on ... Expand

Abstract: Many Information Systems (IS) projects fail to be completed within budget and on schedule. A contributing factor is the so-called planning fallacy in which people tend to underestimate the resources required to complete a project. In this paper, we propose that signals of the planning fallacy can be detected in a project's business case. We investigated whether language usage in business cases can serve as an early warning signal for overruns in IS projects. Drawing on two theoretical perspectives – the Linguistic Category Model (LCM) and Construal Level Theory (CLT) – two sets of rival hypotheses were tested concerning the relationship between project overruns and whether the language usage in a business case is abstract or concrete. A linguistic analysis of the business cases of large IS projects in the Netherlands suggests that concrete language usage in the business case is associated with bigger budget and schedule overruns. For researchers, our study contributes to the existing literature on the importance of language usage. For practitioners, our study provides an early warning indicator for overruns. Collapse

Semantic filters: linguistic category model

Topics: IT project project management decision making database system IT project management

Methods: chi squared test linguistic analysis statistical hypothesis test mixed method descriptive statistic

Theories: planning fallacy linguistic category model construal level theory
The platform shapes the message: How website design affects abstraction and valence of online consumer reviews
PDF
2017 | Decision Support Systems | Citations: 12
Authors: Aerts, Goele; Smits, Tim; Verlegh, Peeter W. J.

Abstract: Online consumer reviews provide relevant information about products and services ... Expand

Abstract: Online consumer reviews provide relevant information about products and services for consumers. In today's networked age, the online consumer review platform market is hyper-competitive. These platforms can easily change different design characteristics to get more reviewers and to nudge reviewers to deliver higher quality reviews. This study explored the relation between online consumer review platforms' design characteristics and the reviewers' construal level. A psycholinguistic coding scheme was used to assess which social and physical design characteristics impact the language abstraction in accompanying online consumer reviews. To this end, we content analyzed reviews of services and products posted on eight different online consumer review platforms (N=400). This resulted in a number of key design characteristics (e.g., reviewer identification, reviewer status, order of instructions and length instructions) that led to a decrease in language abstraction used in online consumer reviews. Moreover, results showed that language abstraction mediated the relationship between the four design characteristics and valence. The findings and their broader theoretical, methodological and practical implications are discussed. Online consumer review platforms could capitalize on our findings in adaptive design choices. Collapse

Semantic filters: linguistic category model

Topics: digital platform online review website sharing platform information exchange

Methods: qualitative content analysis structural equation modeling descriptive statistic chi squared test regression analysis method

Theories: construal level theory linguistic category model

Page 1 of 1

AIS11

Journals

Conferences

Semantic Filter

Found 3 articles

Reviewing from a Distance: Uncovering Asymmetric Moderations of Spatial and Temporal Distance between Sentiment Negativity and Rating

Detection of early warning signals for overruns in IS projects: linguistic analysis of business case language

The platform shapes the message: How website design affects abstraction and valence of online consumer reviews