Multimodal Message Incongruence on E-Commerce Websites

This study investigates the impact of incongruence between visual and text-based information about a product provided by sellers on e-commerce websites. We hypothesize that the incongruence between the quantity presented in a visual representation and a text-based description will produce a negative effect on the product evaluation of customers. Two pilot studies provide initial evidence to support this hypothesis. This result suggests that the effect needs to be further investigated with higher level of sophistication both in terms of theory and empirical support. While it is generally encouraged to maintain design-level consistency in multi-modal communication setting, e-commerce researchers and practitioners have not perfected the mechanisms to respond to message-level incongruence issue. By adopting dual process theories of thinking, when completed, this study will provide a detailed theoretical account of how incongruence between visual representation and linguistic descriptions would affect customers’ evaluation of a product selling online

Monitoring Airport Service Quality:A Complementary Approach to Measure Perceived Service Quality using Online Reviews

Based on 42,063 airport reviews collected from Google Maps, we conducted a sentiment analysis and a topic modeling. We showed that the sentiment scores computed from textual reviews are good estimates of their paired star-ratings (r=0.63, p\u3c0.01). Next, using the LDA (Latent Dirichlet Allocation), we extracted latent topics from the textual reviews and compared them with the standard categories utilized in the Airport Service Quality survey (ASQ). The topics extracted from reviews correspond well with the categories used in ASQ. We, in turn, compared the online ratings with the ratings annually updated by ASQ. While online reviews discuss almost identical topics with those of ASQ, the correlation between the ratings from two was weak (r=0.2). We suggest that the text mining approach using online reviews not only provides an inexpensive, dynamic, and locally customizable means of monitoring airport quality but also complements the standard survey by offering an alternative metric

The role of cognitive conflict in open-content collaboration

IS research on participant’s motivation1 in Knowledge Management System have paid relatively limited attention to the effect of diversifying the technological artifacts while they focused more on identifying the generic motivational factors that apply across the varying contexts. However, the manifest success of disruptive collaboration system outside of the corporate boundaries such as Wikipedia calls for our extended attention to the motivational factors that may not be emergent without the provision of context and artifacts that challenge the assumptions made by KMS within the organizational setting. Through the online survey of 100 Wikipedians, this study evaluates the effect of one novel construct (i.e., socio-cognitive conflict) proposed by Cress and Kimmerle (2008) as an example of such emergent motivation made explicit by maneuvering specific design of collaboration system which otherwise would remain immaterial. In parallel, the analysis also explores the generic motivational constructs the effects of which have been extensively studied within organizational contexts but not sufficiently examined outside of such boundaries

Regulatory Focus as a Predictor of Attitudes Toward Partitioned and Combined Pricing

Partitioned pricing is a widely used pricing strategy, but little is known about the buyer characteristics that influence its effectiveness. The current research contributes to the pricing literature by investigating the impact of regulatory focus on the perceived attractiveness of partitioned and combined pricing. In four studies, we hypothesized and found support for the idea that promotion focused individuals perceive partitioned prices to be more attractive than combined prices, while prevention focused individuals do not differentiate between the two pricing types. Our results also show that regulatory focus influences consumers\u27 information processing style, which in turn leads to important differences in attitudes towards partitioned and combined pricing. Specifically, promotion focused consumers are more likely to engage in global processing and global processing is linked to preferences for partitioned (versus combined) prices

Landscape preference model in HCI: Emotion and Interactivity

The study investigates the mediating role of emotional states and perceived interactivity in the formation of preference for website by revisiting the Landscape Preference Model (LPM) recently introduced to IS literature (Kaplan 1988; Singh, Dalal et al. 2005; Singh, Todd Donavan et al. 2008; Lee and Kozar 2009). We hypothesize that, in HCI context, the variables in exploration dimension of LPM matrix (Complexity and Mystery) affect user’s attitude and behavioral intention to the extent that they are mediated by the perception of interactivity. Relying on regulatory focus theory(Higgins 1998), the study further examines two different types of emotional state produced as a function of the difference in motivational origin of factors postulated by the extant LPM. We expect that the results will indicate the proposed additions of both interactivity construct and emotional distinctions provide an important elaboration on the molar level guidance that LPM promised to offer for HCI designers

Modeling US Air Passenger Traffic Demand: Dynamic Data

Conventional demand models (e.g., gravity model) in air transport literature tend to rely heavily on the mainstream econometric variables (e.g., distance, population, and GDP), which cannot be dynamically measured or used for short-term predictions. This study seeks to complement the short-term predictability of such conventional approaches by introducing dynamic predictors while alleviating the endogeneity by implementing panel data modeling analysis. Utilizing 40,072 air passenger data stacked in 3,344 city pairs over twelve months in 2020, we demonstrate that a large variability in demand can be explained by a handful of non-conventional variables such as internet search volume and geometric mobility indicators. The performance of our fixed effect model was dramatically improved by adding the regional intensity of google search for “airport” and “flight” and by adding the measure of people’s time spent at residential areas in the origin and destination state (Adj. R2 to .74)

What Type Of Framing Message Is More Appropriate With Nine-Ending Pricing?

While the effect of nine-ending prices on purchases has been well documented, studies that examine the impact of this pricing technique in the context of advertisements are rare. This paper examines the joint effect of the pricing technique and message frames on the advertisement efficacy. Since a nine-ending price is compatible with gain-framed messages due to its gain image, we propose that nine-ending pricing strengthens the effectiveness of gain-framed messages (versus loss-framed messages) on the overall advertisement efficacy. The results of two experiments provide support for this hypothesis

Regulatory Focus as a Predictor of Attitudes Toward Partitioned and Combined Pricing

Partitioned pricing is a widely used pricing strategy, but little is known about the buyer characteristics that influence its effectiveness. The current research contributes to the pricing literature by investigating the impact of regulatory focus on the perceived attractiveness of partitioned and combined pricing. In four studies, we hypothesized and found support for the idea that promotion focused individuals perceive partitioned prices to be more attractive than combined prices, while prevention focused individuals do not differentiate between the two pricing types. Our results also show that regulatory focus influences consumers\u27 information processing style, which in turn leads to important differences in attitudes towards partitioned and combined pricing. Specifically, promotion focused consumers are more likely to engage in global processing and global processing is linked to preferences for partitioned (versus combined) prices

HOW MANY TECHNOLOGY TYPES ARE THERE? PRELIMINARY RESULTS FROM THE TECHNOLOGY ACCEPTANCE LITERATURE

To investigate a generalizable moderating effect of the type of technology tested upon its acceptance, a classification of technologies is needed. This study aims to develop a preliminary framework to describe information technologies based upon 200 randomly selected technology descriptions taken from a comprehensive TAM meta-analysis effort currently in progress. We report on the use of a classification method involving both human judgment and statistical techniques. A manual sorting process is followed by multidimensional scaling (MDS) and cluster analysis to aggregate the individual interpretations of the sorters into hierarchical cluster structures. The results of this method reveal several potential technology grouping solutions, one of which was selected for further discussion. Limitations and future research are also discussed

Monitoring Airport Service Quality: A Complementary Approach to Measure Perceived Service Quality Using Online Reviews

Based on 42,063 airport reviews collected from Google Maps, we conducted a sentiment analysis and a topic modeling. We showed that the sentiment scores computed from textual reviews are good estimates of their paired star-ratings (r=0.63, p\u3c0.01). Next, using the LDA (Latent Dirichlet Allocation), we extracted latent topics from the textual reviews and compared them with the standard categories utilized in the Airport Service Quality survey (ASQ). The topics extracted from reviews correspond well with the categories used in ASQ. We, in turn, compared the online ratings with the ratings annually updated by ASQ. While online reviews discuss almost identical topics with those of ASQ, the correlation between the ratings from two was weak (r=0.2). We suggest that the text mining approach using online reviews not only provides an inexpensive, dynamic, and locally customizable means of monitoring airport quality but also complements the standard survey by offering an alternative metric. \u3e\u3c0.01). Next, using the LDA (Latent Dirichlet Allocation), we extracted latent topics from the textual reviews and compared them with the standard categories utilized in the Airport Service Quality survey (ASQ). The topics extracted from reviews correspond well with the categories used in ASQ. We, in turn, compared the online ratings with the ratings annually updated by ASQ. While online reviews discuss almost identical topics with those of ASQ, the correlation between the ratings from two was weak (r=0.2). We suggest that the text mining approach using online reviews not only provides an inexpensive, dynamic, and locally customizable means of monitoring airport quality but also complements the standard survey by offering an alternative metric