How to react to a shock? Effects of Airbnb hosts’ choices and market segmentation at the time of Covid-19

2023 | Information & Management | Citations: 0

Authors: Buzzacchi, Luigi; Milone, Francesco Luigi; Paolucci, Emilio; Raguseo, Elisabetta

Abstract: We investigate the way service providers who operate on an online peer-to-peer ( ... Expand

Abstract: We investigate the way service providers who operate on an online peer-to-peer (P2P) platform readapted their marketing choices to face the Covid-19 pandemic. Through an empirical investigation on a large dataset of Airbnb properties in Rome, observed from January 2018 to December 2020, we provide a threefold contribution by investigating how Airbnb hosts reacted to the Covid-19 pandemic shock, in terms of marketing choices, such as price adjustments and flexible cancellation policies; the direct effects of these choices on their economic returns; and how service providers on Airbnb reacted to address the new needs of their customers during the Covid-19 pandemic. The findings provide useful insights for researchers and practitioners and show that the adoption of combined marketing choices led to more than proportional effects on performances as it allowed Airbnb hosts to exploit profitable market segmentation mechanisms. Collapse

Topics: pandemic Airbnb marketing management price management peer-to-peer model

Methods: econometric modeling descriptive statistic instrumental variables estimation robustness check longitudinal research

The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry

2023 | Information Systems Frontiers | Citations: 0

Authors: Gupta, Shivam; Modgil, Sachin; Lee, Choong-Ki; Sivarajah, Uthayasankar

Abstract: This study aims to investigate the role of artificial intelligence (AI) driven f ... Expand

Abstract: This study aims to investigate the role of artificial intelligence (AI) driven facial recognition to enhance a value proposition by influencing different areas of services in the travel and tourism industry. We adopted semi-structured interviews to derive insights from 26 respondents. Thematic analysis reveals the development of four main themes (personalization, data-driven service offering, security and safety, and seamless payments). Further, we mapped the impact of AI- driven facial recognition to enhance value and experience for corporate guests. Findings indicate that AI-based facial recognition can facilitate the travel and tourism industry in understanding travelers’ needs, optimization of service offers, and value-based services, whereas data-driven services can be realized in the form of customized trip planning, email, and calendar integration, and quick bill summarization. This contributes to strengthening the tourism literature through the lens of organizational information processing theory. Collapse

Topics: artificial intelligence usability personalization human resource management pandemic

Methods: facial recognition system biometric measurement personal interview qualitative interview qualitative content analysis

Theories: organizational information processing theory

Examining Ecosystems and Infrastructure Perspectives of Platforms: The Case of Small Tourism Service Providers in Indonesia and Rwanda

2022 | Communications of the Association for Information Systems | Citations: 0

Authors: Foster, Christopher; Bentley, Caitlin

Abstract: Digital platforms are significantly affecting how firms and individuals underta ... Expand

Abstract: Digital platforms are significantly affecting how firms and individuals undertake economic exchange. With their global expansion, exploring the implications of platforms for those who sell goods or provide services in the global south is an important agenda for determining their value. Yet, we argue that existing frameworks only provide a partial understanding of activities and relations.In this paper, we examine platforms through an analysis of two theoretical perspectives. Established ecosystems perspectives focus on platform governance, centralizing the activities of the 'platform owner'. Such perspectives allow an analysis of platform strategy but can underplay the ways platform sellers and service providers engage with platforms. Infrastructure perspectives, in contrast, approach platforms as large and complex systems, which we argue allows for better analysis of the practices and agency of such actors.An analysis of small tourism service providers in Indonesian and Rwandan tourism supports the discussion of these two perspectives. Findings highlight the growth of global platforms, but service providers face challenges in using them effectively. Infrastructure perspectives highlight risks that service providers face in being pulled into adverse relationships as platforms become ubiquitous. As platforms expand, their complexity leads to challenges in engagement, but with potential for learning and collaboration. Collapse

Topics: digital ecosystem electronic mail mobile application platform governance information system use

Methods: qualitative interview literature study case study

Theories: socio technical theory

Information management can’t be all fun and games, can it? How gamified experiences foster information exchange in multi-actor service ecosystems

2021 | International Journal of Information Management | Citations: 0

Authors: Weretecki, Patrick; Greve, Goetz; Bates, Kenneth; Henseler, Jörg

Abstract: This paper investigates whether gamified experiences in a multi-actor service ec ... Expand

Abstract: This paper investigates whether gamified experiences in a multi-actor service ecosystem can be used to encourage customers’ information exchange behavior. Furthermore, it examines the impact of customers’ knowledge sharing attitude on the relationship between experiential value and customers’ information exchange behavior. Structural equation modeling was used to assess these dynamic relationships and provide a scalable measurement instrument that can be applied to gamified experiences ranging from simple customer-interface interactions, all the way up to multi-actor service ecosystems. Our findings support the notion that managers can use gamification to foster information exchange and thereby value co-creation between customers and employees directly, without necessarily having to change customers attitudes first. The findings also suggest that gamification can be applied successfully in cases of large groups of people with widely varying characteristics, backgrounds, and motivations. Additionally, our research indicates that experiential value is a suitable candidate for a consistent measurement instrument for gamification. This study is the first to apply a holistic experiential value approach to a gamified experience that simultaneously accounts for customers’ interactions with a multisensory physical environment, their personal interactions with employees, and their interactions with other customers. Collapse

Topics: knowledge sharing information exchange gamification information management participatory design

Methods: structural equation modeling survey design methodology chi squared test self reported survey

Theories: theory of affordance

Examining the determinants of the count of customer reviews in peer-to-peer home-sharing platforms using clustering and count regression techniques

2020 | Decision Support Systems | Citations: 0

Authors: Biswas, Baidyanath; Sengupta, Pooja; Chatterjee, Dwaipayan

Abstract: The sharing economy has experienced massive growth in the short-term shared-home ... Expand

Abstract: The sharing economy has experienced massive growth in the short-term shared-home rental industry. However, few studies have investigated the determinants of the number of customer reviews received by these shared-homes. To fill this gap, we were motivated to propose an analytical framework that identified these determinants, both explicit and implicit. We applied Poisson, Quasi-Poisson, and Negative Binomial regressions with a dataset consisting of Airbnb properties from ten different cities worldwide, while successful bookings were proxied by the count of customer reviews posted by guests. We performed a cluster analysis based on the properties to generate homogeneous “cluster cities” and performed the regressions separately for each cluster. Among host-generated features, superhost, host duration, bedrooms, and amenities became significant. Among user-generated features, overall review scores and negative sentiments were significant. We also found that the “superhost” badge moderated the effects of host-generated content on the count of customer reviews. Consequently, guests paid a higher “price per night” for “superhost” properties, while they overlooked crucial attributes such as “website features.” Through these novel “cluster-specific” recommendations, our study extends the existing theories and contributes to the literature of decision analytics and tourism management. Finally, we performed a sensitivity analysis to check for the timeliness and robustness of these determinants. Collapse

Topics: Airbnb peer-to-peer model website participatory design collaborative consumption

Methods: cluster analysis regression analysis method design methodology sensitivity analysis historical review

Theories: social exchange theory social penetration theory transaction cost economics

Actualizing big data analytics for smart cities: A cascading affordance study

2020 | International Journal of Information Management | Citations: 2

Authors: Zeng, Delin; Tim, Yenni; Yu, Jiaxin; Liu, Wenyuan

Abstract: This study investigates how Big Data Analytics (BDA) can be leveraged to support ... Expand

Abstract: This study investigates how Big Data Analytics (BDA) can be leveraged to support a city’s transformation into a smart destination. We conduct an in-depth case study of a city-in-transformation and adopt the perspective of technology affordances to uncover the varying opportunities enabled by BDA to facilitate the attainment of smart tourism goals. Our findings unveil three types of BDA affordances and demonstrate how these affordances are actualized in a cascading manner to enable informed decisions and a sustainable development of smart tourism. Implications are presented for future investigation of the affordances of BDA in smart tourism, as well as for policy makers and practitioners who engage in the development of innovative tourism services for the smart citizens. Collapse

Topics: affordance usability user experience smart city decision making

Methods: qualitative interview case study theory development theoretical contribution personal interview

Theories: theory of affordance

Enhancing the smart tourism experience through geotag

2017 | Information Systems Frontiers | Citations: 7

Authors: Chung, Namho; Tyan, Inessa; Han, Heejeong

Abstract: Geotagging which is one of the newest technologies in the smart tourism field is ... Expand

Abstract: Geotagging which is one of the newest technologies in the smart tourism field is reckoned as being very useful for travelers in enhancing visiting experience. This study, focusing on the perspective of traveler’s readiness and technology acceptance model with hedonic view, aims at analyzing the relationships between traveler’s readiness, geotag technology perception and geotag adoption.In this study, the negative and insignificant relationship between traveler’s readiness and geotag usefulness were found. Positive relationships between traveler’s readiness and geotag ease of use and enjoyment were found. The influence of geotag ease of use on its usefulness was also found. Besides, the results show that both geotag ease of use and geotag enjoyment significantly influence its use intention. However, geotag usefulness didn’t significantly affect the geotag use intention. This study hopes to contribute in theoretical and practical ways, providing more information about how traveler’s readiness and technology perception factors influence geotag use intention. Collapse

Topics: ease of use usage intention technology adoption perceived usefulness hedonistic information system

Methods: partial least squares regression survey PLS tool

Theories: technology acceptance model

Harnessing the frontline employee sensing of capabilities for decision support

2017 | Decision Support Systems | Citations: 1

Authors: Hallin, Carina Antonia; Andersen, Torben Juul; Tveterås, Sigbjørn

Abstract: The ability to sense developments in operational (steady-state) and dynamic (gro ... Expand

Abstract: The ability to sense developments in operational (steady-state) and dynamic (growth) capabilities provides early signals about how the firm adapts its operations to ongoing changes in the environment. Frontline employees engage in the daily transactions and sense the firm's operating conditions and ability to deal with the environment that eventually will affect performance and strategic outcomes. The environmental sensing is a central cognitive feature and constitutes an information source for operations strategy decisions. Drawing on aggregated judgmental time-series forecasting techniques, this article develops a sensing instrument an employee-sensed operational conduct (ESOC) index for updated information as an essential decision support mechanism. This sensing capacity is firm-specific and difficult to replicate once in place and thus can provide a basis for sustainable competitive advantage. Collapse

Topics: organizational productivity price management decision support dynamic pricing innovation management

Methods: longitudinal research survey time series analysis descriptive statistic Granger causality

Theories: dynamic capabilities theory

Content mining framework in social media: A FIFA world cup 2014 case analysis

2017 | Information & Management | Citations: 2

Authors: Thomaz, Guilherme M.; Biz, Alexandre A.; Bettoni, Eduardo M.; Mendes-Filho, Luiz; Buhalis, Dimitrios

Abstract: This paper proposes a social media content mining framework that consists of sev ... Expand

Abstract: This paper proposes a social media content mining framework that consists of seven phases. The framework was tested empirically during the FIFA World Cup 2014 at Curitiba (Brazil) as one of the main host city destinations. The research focused on the mining of Twitter content with tourist services ontology (hospitality, food and beverages, and transportation). In total, 58,686 valid messages were collected, analyzed, and associated with an application ontology. Content analysis demonstrated an accurate real-time reflection of tourism services. The framework is effective to collect relevant content and identify popular topics in social media toward strategic and operational tourism management. Collapse

Topics: social media knowledge representation Twitter database system marketing management

Methods: ontological modelling qualitative content analysis natural language processing survey design methodology

Influence of social media on operational efficiency of national scenic spots in china based on three-stage DEA model

2016 | International Journal of Information Management | Citations: 0

Authors: Xu, Jia; Wei, Jiuchang; Zhao, Dingtao

Abstract: a b s t r a c tAn increasing number of national scenic spots around the world u ... Expand

Abstract: a b s t r a c tAn increasing number of national scenic spots around the world use social media, such as micro-blogs and Twitter, to promote their popularity and improve their operational performance. National scenic spots may adopt different social media behaviors that lead to unbalanced operational performance. This study takes the perspective of social media adoption in national scenic spots by looking into the influence of social media adoption behaviors on operational performance based on the three-stage data envelopment analysis model. We found that most of the national scenic spots in China have low pure technical efficiency and that operational performance, including social media popularity and operational performance, is significantly determined by various social media adoption behaviors. Collapse

Topics: social media blog Google+ system support operational management

Methods: principal component analysis data transformation descriptive statistic trade-off analysis method data envelopment analysis

Theories: resource based view of the firm information theory