Search results

Over the past two decades, online booking has become a predominant distribution channel of tourism products. As online sales have become more important, understanding booking conversion behavior remains a critical topic in the tourism industry. The purpose of this study is to model airline search and booking activities of anonymous visitors.

This study proposes a stochastic approach to explicitly model dynamics of airline customers’ search, revisit and booking activities. A Markov chain model simultaneously captures transition probabilities and the timing of search, revisit and booking decisions. The suggested model is demonstrated on clickstream data from an airline booking website.

Empirical results show that low prices (captured as discount rates) lead to not only booking propensities but also overall stickiness to a website, increasing search and revisit probabilities. From the decision timing of search and revisit activities, the author observes customers’ learning effect on browsing time and heterogeneous intentions of website visits.

This study presents both theoretical and managerial implications of online search and booking behavior for airline and tourism marketing. The dynamic Markov chain model provides a systematic framework to predict online search, revisit and booking conversion and the time of the online activities.

The purpose of this paper is to study what extent readers’ socio-demographic characteristics, literary preferences and search behavior predict success in fiction search in library catalogs.

In total, 80 readers searched for interesting novels in four differing search tasks. Their search actions were recorded with a Morae Recorder. Pre- and post-questionnaires elicited information about their background, literary preferences and search experience. Readers’ literary preferences were grouped into four orientations by a factor analysis. Linear regression analysis was applied for predicting search success as measured by books’ interest scores.

Most literary orientations contributed to search success, but in differing search tasks. The role of result examination was greater compared to querying in contributing search success almost in each task. The proportion of variance explained in books’ interest scores varied between 5 (open-ended browsing) and 50 percent (analogy search).

The distribution of participants was biased toward females, and the results are aggregated within search session, both reducing the variation of the phenomenon observed.

This study is one of the first to explore how readers’ literary preferences and searching are associated with finding interesting novels, i.e. search success, in library catalogs. The results expand and support the findings in Mikkonen and Vakkari (2017) concerning associations between reader characteristics and fiction search success.

Customization by segmenting within human–computer interaction is an emerging phenomenon. Appealing graphical elements that cater to user needs are considered progressively important, as the way a graphic is visually represented can greatly contribute to the interaction. However, aesthetic perceptions are subjective and may differ by target group. Understanding variations in user perceptions may aid in design processes; therefore, we set out to investigate the effects of demographic differences relating to perceptions of graphical user interface (GUI) element (i.e. game app icon) aesthetics.

The authors employed a vignette experiment with random participant (n = 513) assignment to evaluate 4 icons from a total of 68 pre-selected mobile game icons using semantic differential scales. This resulted in a total of 2052 individual icon evaluations. Regression analyses were performed with the effects of age, gender and time using graphical user interfaces (i.e. app stores) and the interactions of these variables relating to perceptions of GUI element aesthetics.

The results indicate that, overall, demographic factors have relatively little effect on how icons are perceived. Significant relations suggest that experienced users, younger audiences and women are more critical in their perception of aesthetic excellence, and that perceptions change for younger women. The implications of the findings are discussed via adaptive decision-making theory.

In the context of graphical user interface element aesthetics, demographic differences have received minimal attention as moderating variables regardless of their relevance in design and development. Hence, it merits further research.

Introducing technology at work presents a special challenge as learning is tightly integrated with workplace practices. Current design-based research (DBR) methods are focused on formal learning context and often questioned for a lack of yielding traceable research insights. This paper aims to propose a method that extends DBR by understanding tools as sociocultural artefacts, co-designing affordances and systematically studying their adoption in practice.

The iterative practice-centred method allows the co-design of cognitive tools in DBR, makes assumptions and design decisions traceable and builds convergent evidence by consistently analysing how affordances are appropriated. This is demonstrated in the context of health-care professionals’ informal learning, and how they make sense of their experiences. The authors report an 18-month DBR case study of using various prototypes and testing the designs with practitioners through various data collection means.

By considering the cognitive level in the analysis of appropriation, the authors came to an understanding of how professionals cope with pressure in the health-care domain (domain insight); a prototype with concrete design decisions (design insight); and an understanding of how memory and sensemaking processes interact when cognitive tools are used to elaborate representations of informal learning needs (theory insight).

The method is validated in one long-term and in-depth case study. While this was necessary to gain an understanding of stakeholder concerns, build trust and apply methods over several iterations, it also potentially limits this.

Besides generating traceable research insights, the proposed DBR method allows to design technology-enhanced learning support for working domains and practices. The method is applicable in other domains and in formal learning.

This exploratory study aims to help contribute to the understanding of online information search behaviour of PhD students from different humanities fields, with a focus on subject searching.

The methodology is based on a semi-structured interview within which the participants are asked to conduct both a controlled search task and a free search task. The sample comprises eight PhD students in several humanities disciplines at Linnaeus University, a medium-sized Swedish university from 2020.

Most humanities PhD students in the study have received training in information searching, but it has been too basic. Most rely on web search engines like Google and Google Scholar for publications' search, and university's discovery system for known-item searching. As these systems do not rely on controlled vocabularies, the participants often struggle with too many retrieved documents that are not relevant. Most only rarely or never use disciplinary bibliographic databases. The controlled search task has shown some benefits of using controlled vocabularies in the disciplinary databases, but incomplete synonym or concept coverage as well as user unfriendly search interface present hindrances.

The paper illuminates an often-forgotten but pervasive challenge of subject searching, especially for humanities researchers. It demonstrates difficulties and shows how most PhD students have missed finding an important resource in their research. It calls for the need to reconsider training in information searching and the need to make use of controlled vocabularies implemented in various search systems with usable search and browse user interfaces.

This study aims to increase the understanding of the drivers of mobile shopping, by analyzing when and how two personality traits – value consciousness and shopping enjoyment – impact mobile shopping intention through usefulness and ease-of-use perceptions.

To test the conditioned indirect effects, path analysis is used.

The results indicate that both consumers’ value consciousness and shopping enjoyment have a positive indirect effect on mobile shopping intention. However, shopping enjoyment is related only through usefulness, whereas value consciousness is related via both usefulness and ease of use. The results also suggest the need to consider boundary conditions when examining the impact of personality traits.

Mobile retailers need to conduct market segmentation based on users’ personalities when trying to increase their customer base.

Despite the relevance of personality traits on individual behavior, studies on the effects that different aspects of personality have on the participation of individuals in mobile commerce are very scarce and show inconsistent results regarding their impact. Thus, this study tries to contribute to the mobile commerce research by analyzing the interplay between two customer characteristics and two mediating variables: ease-of-use and usefulness perceptions.

Esta investigación busca aumentar la comprensión de los antecedentes de las compras móviles, analizando cuándo y cómo dos rasgos de personalidad – conciencia de valor y disfrute por la compra – afectan a la intención de compra móvil a través de las percepciones de utilidad y facilidad de uso.

Para comprobar los efectos indirectos condicionados propuestos se emplea un análisis path.

Los resultados indican que tanto la conciencia de valor como el disfrute por la compra de los consumidores tienen un efecto indirecto positivo en la intención de compra móvil. Sin embargo, el disfrute por la compra se relaciona sólo a través de la utilidad, mientras que la conciencia de valor se relaciona tanto a través de la utilidad como de la facilidad de uso. Los resultados también sugieren la necesidad de considerar factores moderadores al examinar el impacto de los rasgos de personalidad.

Los minoristas a través del móvil que quieran aumentar su base de clientes necesitan segmentar el mercado en base a la personalidad de los usuarios.

A pesar de la relevancia que tienen los rasgos de personalidad en el comportamiento de los individuos, los estudios sobre los efectos de distintos aspectos de la personalidad sobre la participación de los individuos en el comercio móvil son muy escasos y muestran resultados inconsistentes. Así, este estudio intenta contribuir a la investigación sobre comercio móvil analizando la relación entre dos características del consumidor y dos variables mediadoras: las percepciones de facilidad de uso y utilidad.

The purpose of this paper is to develop a comprehensive model of impulse-buying that considers the impact of mobile device use on shopping behaviour as a tool for shopping preparation or as a tool for self-regulation.

Data were obtained through a single-stage mall intercept survey method using a structured questionnaire involving 406 respondents interviewed after checkout. Data analysis was conducted using a structural equation modelling approach with LISREL 8.8.

The results support most elements of the hypothesis of the proposed conceptual framework. Specifically, findings show the impact of mobile usage on shopping behaviour, which results in fewer impulse purchases.

The research demonstrates how shoppers using mobile devices in-store felt less of an urge to purchase during shopping, resulting in fewer unplanned purchases. The effects of mobile device use on in-store purchasing decisions are designed to create a new scenario for the practice of shopper marketing, and retailers and manufacturers will have to seek new ways to capture consumers’ attention in-store and to influence shoppers’ perceptions early in the shopping cycle without diminishing the role of in-store marketing levers.

Prior research found the antecedents of impulse-buying in individual characteristics, situational variables and endogenous variables. However, it did not consider mobile pre-shopping factors or mobile usage. Filling the gap in the existing literature, this work sets out to develop a comprehensive model of impulse-buying that considers the impact of mobile usage on shopping behaviour.

The purpose of this paper is to systematically review the existing research and summarize the value co-creation mechanism between enterprises and users in crowdsource-based open innovation (COI).

Crowdsourcing is an effective means for enterprises to launch open innovation. This paper will first introduce the concepts and forms of open innovation and crowdsourcing, and then define COI.

This paper will analyze the key parties in innovative tasks, value co-creation mechanism that creates ideas, the interaction of key participants and the process of integrating internal and external resources to realize open innovation.

In the end, this paper will put forward the theoretical framework for future studies on the development of COI from the perspective of value co-creation.

This thesis will first introduce the concepts and forms of open innovation and outsourcing and then define COI. Then it will systematically review the existing research studies and summarize the value co-creation mechanism between enterprises and users under COI model by analyzing the key parties in innovative tasks, value co-creation mechanism that creates ideas, the interaction mode of key participants and the process of enterprises integrating internal and external resources to realize open innovation.