The more we get together, the more we can save? A transaction cost perspective

2022 | International Journal of Information Management | Citations: 3

Authors: Li, Chia-Ying; Fang, Yu-Hui

Abstract: Although sharing is not a new subject, sharing behavior enabled by peer-to-peer ... Expand

Abstract: Although sharing is not a new subject, sharing behavior enabled by peer-to-peer software technologies is a recent phenomenon. Studies have explored the impact of the sharing economy on consumers by applying the theory of planned behavior, complexity theory, and social exchange theory, but few studies have explored transaction costs in the sharing economy. By integrating network externalities with transaction cost theory, this study ex­ plores transaction costs and their determinants in the context of the sharing economy. Structural equation modeling analysis was conducted on data from 375 users of Airbnb. The findings indicate that personalization of asset specificity and transaction frequency negatively influence transaction costs. Additionally, learning of asset specificity and transaction uncertainty positively affects transaction costs, which in turn influence behavioral intention. Furthermore, perceived complementarity has a direct effect on transaction uncertainty. Finally, the number of users moderates the relationship between transaction costs and behavioral intention. This under­ standing will assist managers in numerous industries impacted by the rapid development of the sharing economy by providing them with strategies for coping with this trend. Collapse

Topics: Airbnb sharing platform network effect behavioral intention asset specificity

Methods: survey statistical hypothesis test data transformation factor analysis descriptive statistic

Theories: transaction cost economics

Battles of mobile payment networks: The impacts of network structures, technology complementarities and institutional mechanisms on consumer loyalty

2022 | Information Systems Journal | Citations: 1

Authors: Gong, Xiang; Cheung, Christy M. K.; Liu, Shan; Zhang, Kem Z. K.; Lee, Matthew K. O.

Abstract: Most information systems (IS) research takes for granted that consumers' adoptio ... Expand

Abstract: Most information systems (IS) research takes for granted that consumers' adoption and the use of mobile payment (MP) applications are motivated by generic factors such as perceived usefulness and perceived ease of use. Challenging this assumption, we argue that the salient contextual characteristics of MP applications compel a reconsideration and problematization of research on MP adoption and use. Drawing on network effect theory, we examined how contextual network effects and contextual network types determine MP consumer loyalty. Using a mixed methods design, we find that direct network effects (i.e., network size, network centrality, network capability), indirect network effects (i.e., platform–application complementarity, application–service complementarity, service–strategy complementarity) and negative network effects (i.e., general institutional structure, general structural assurance, local institutional structure and local structural assurance) are key determinants of perceived benefits, which further promote MP consumer loyalty. Furthermore, except for general institutional structure and general structural assurance, all of the network effects are important predictors of switching costs, which influence MP consumer loyalty. Finally, the impacts of network effects on MP consumer loyalty differ between consumer- and service-oriented networks. Our study enriches the IS literature by problematizing the core assumption underlying the MP adoption and use research and offering a contextual explanation of MP consumer loyalty. Our work also provides practitioners with insights into how to better leverage network effects on MP consumer loyalty. Collapse

Topics: network effect digital platform switching cost WeChat technology adoption

Methods: qualitative interview survey mixed method personal interview qualitative coding

Theories: network effect theory technology acceptance model unified theory of acceptance and use of technology theory of economic growth

Indian Travellers’ Adoption of Airbnb Platform

2022 | Information Systems Frontiers | Citations: 0

Authors: Tamilmani, Kuttimani; Rana, Nripendra P.; Nunkoo, Robin; Raghavan, Vishnupriya; Dwivedi, Yogesh K.

Abstract: Much of the existing scholarly debate on sharing economy to date has focused on ... Expand

Abstract: Much of the existing scholarly debate on sharing economy to date has focused on the use of technology in developed countries. However, the recent upsurge of mobile technology adoption in developing countries has provided suitable breeding ground for sharing economy. The lack of native theories in tourism and hospitality sector with scare utilization of unified theory of acceptance and use of technology (UTAUT) provide necessity for this research. This study adapted meta-UTAUT model as theoretical lens and extended the model with hedonic motivation, trust, and self-efficacy. Based on data from 301 potential Indian consumers, the results underscored the central role of attitude that significantly mediated the effects of effort expectancy, social influence, and facilitating conditions on consumer intention to use Airbnb. Meanwhile, performance expectancy emerged as significant direct determinant of intention alongside attitude, trust, and self-efficacy. The proposed model explained as much as 65% variance on Indian consumer’s intention to use Airbnb. Collapse

Topics: Airbnb usage intention self efficacy sharing platform behavioral intention

Methods: data transformation survey factor analysis structural equation modeling descriptive statistic

Theories: unified theory of acceptance and use of technology theory of planned behavior

A multilevel, multi-mode framework for standardization in digital B2B platform eco-systems in international cargo transportation—A multiple case study

2022 | Electronic Markets | Citations: 0

Authors: Tessmann, Ruben; Elbert, Ralf

Abstract: Standardization is gaining importance for digital platform eco-systems as they t ... Expand

Abstract: Standardization is gaining importance for digital platform eco-systems as they try to balance both stability and flexibility of their core as well as their boundary resources. Our knowledge on which factors influence standardization processes in business-to-business (B2B) focused digital platform eco-systems remains limited. Using three B2B platform eco-systems from the cargo transportation and seaport eco-system context, we apply a multiple case study to investigate which factors affect the standardization mode and the standard adoption. Based on 19 interviews and a systematic coding procedure, we identified 24 factors and cluster them into four overarching themes. We show the relatedness between standardization and innovation research, identify standard characteristics as the most important theme of factors and show that standardization has to be seen as a dynamic and interconnected process, as some factors are interdependent but the controllability varies between factors. Lastly, implications of these results and future research directions are discussed. Collapse

Topics: innovation management business-to-business digital platform digital ecosystem mobile application market

Methods: qualitative interview multiple case study case study qualitative coding personal interview

Theories: diffusion of innovations theory stakeholder theory

The role of legitimacy and reputation judgments in users’ selection of service providers on sharing economy platforms

2021 | Information & Management | Citations: 0

Authors: Truong, Yann; Ackermann, Claire-Lise; Klink, Richard R.

Abstract: Information systems literature suggests that reputation is the main judgment for ... Expand

Abstract: Information systems literature suggests that reputation is the main judgment form that captures user-related information online. Drawing on social judgment literature, we contend that a user’s online characteristics and past actions are not all reputation-based, but also legitimacy-based, and that transaction stake determines whether users will use reputation or legitimacy judgment to evaluate other users. Using Airbnb, we show that level of stake in a transaction determines the judgment form (reputation or legitimacy) that guests resort to when evaluating a host. Moreover, we find that providing extensive information on a host to potential guests in lowstake transactions is counterproductive. Collapse

Topics: Airbnb sharing platform web page decision making electronic market

Methods: experiment statistical power analysis survey design regression analysis method robustness check

Shared experience in pretrip and experience sharing in posttrip: A survey of Airbnb users

2017 | Information & Management | Citations: 11

Authors: Bae, Sung Joo; Lee, Hyeonsuh; Suh, Eung-Kyo; Suh, Kil-Soo

Abstract: This research focuses on travelers’ use of shared experiences during their pretr ... Expand

Abstract: This research focuses on travelers’ use of shared experiences during their pretrip decision-making and their posttrip behavior in sharing their experiences. On the basis of information processing and literature on experience sharing, we developed hypotheses on how travelers make their purchase decisions on a smart tourism platform, adopting the experiences shared by others (pretrip), and how the quality of their travel experience and perceived information discrepancy affected their behavior in sharing their experience (posttrip). By testing these hypotheses using survey data from 411 Korean users of Airbnb, we draw conclusions on how firms should manage the flow of travelers’ experience information and design smart tourism platforms. Collapse

Topics: Airbnb decision making Facebook online word of mouth word of mouth

Methods: partial least squares regression survey experiment statistical hypothesis test parametric test

Theories: information processing theory