Direct and Indirect Spillovers from Content Providers’ Switching: Evidence from Online Livestreaming

2023 | Information Systems Research | Citations: 0

Authors: Zhao, Keran; Lu, Yingda; Hu, Yuheng; Hong, Yili

Abstract: Content providers in online social media platforms, particularly livestreaming, ... Expand

Abstract: Content providers in online social media platforms, particularly livestreaming, often switch content categories. Despite its uniqueness and importance, there is a dearth of academic research examining the unintended effects of providers’ content switching. We study the direct and indirect spillover effects of content switching for livestreamers—individuals who broadcast content through livestreaming platforms. We propose a framework based on theories related to viewer flow and network effects to conceptualize the direct and indirect spillover effects of entrant streamers’ content switching on the incumbent streamers. Contrary to conventional wisdom, which concerns the negative effects on the incumbent’s viewership, we propose two positive spillover effects that are unique to the social media platform setting: (a) the entrant streamers do not just increase competition among streamers, but they also bring their own viewers to the new category, which benefits the incumbent streamers because of a streaming flow effect (direct spillover), and (b) the entrant streamers influence incumbent streamers’ viewer size by boosting category visibility through indirect network effects (indirect spillover). We also propose that the two spillover effects are contingent on the size of the entrant streamers’ follower base. Based on a unique observational data set from the leading livestreaming platform (Twitch.tv), particularly with viewer flow data at the streamer–session level, we first estimate that average content switching is associated with a 1.3% net increase in direct net viewer flow from the entrant to an incumbent. And this direct spillover effect is attenuated by the size of the entrant streamers’ follower base. We also estimate that average content switching is associated with a 2.6% net increase in (indirect) net viewer flow from outside categories to an incumbent streamer. And this indirect spillover effect is reinforced by the entrant streamers’ follower base size. This study contributes to the emerging literature on the dynamics of content creation on social media platforms in the emerging context of livestreaming. We discuss the managerial implications of this study for streaming strategies and platform management.History: Yulin Fang, Senior Editor; Xitong Li, Associate Editor. Collapse

Topics: live streaming platform network effect Twitch social media blog

Methods: hierarchical linear modeling conceptual modelling robustness check longitudinal research statistical hypothesis test

Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action

2022 | International Journal of Information Management | Citations: 0

Authors: Dwivedi, Yogesh K.; Hughes, Laurie; Kar, Arpan Kumar; Baabdullah, Abdullah M.; Grover, Purva; Abbas, Roba; Andreini, Daniela; Abumoghli, Iyad; Barlette, Yves; Bunker, Deborah; Chandra Kruse, Leona; Constantiou, Ioanna; Davison, Robert M.; De’, Rahul; Dubey, Rameshwar; Fenby-Taylor, Henry; Gupta, Babita; He, Wu; Kodama, Mitsuru; Mäntymäki, Matti; Metri, Bhimaraya; Michael, Katina; Olaisen, Johan; Panteli, Niki; Pekkola, Samuli; Nishant, Rohit; Raman, Ramakrishnan; Rana, Nripendra P.; Rowe, Frantz; Sarker, Suprateek; Scholtz, Brenda; Sein, Maung; Shah, Jeel Dharmeshkumar; Teo, Thompson S.H.; Tiwari, Manoj Kumar; Vendelø, Morten Thanning; Wade, Michael

Abstract: The UN COP26 2021 conference on climate change offers the chance for world leade ... Expand

Abstract: The UN COP26 2021 conference on climate change offers the chance for world leaders to take action and make urgent and meaningful commitments to reducing emissions and limit global temperatures to 1.5 ◦C above preindustrial levels by 2050. Whilst the political aspects and subsequent ramifications of these fundamental and critical decisions cannot be underestimated, there exists a technical perspective where digital and IS technology has a role to play in the monitoring of potential solutions, but also an integral element of climate change so­ lutions. We explore these aspects in this editorial article, offering a comprehensive opinion based insight to a multitude of diverse viewpoints that look at the many challenges through a technology lens. It is widely recognized that technology in all its forms, is an important and integral element of the solution, but industry and wider society also view technology as being part of the problem. Increasingly, researchers are referencing the importance of responsible digitalization to eliminate the significant levels of e-waste. The reality is that tech­ nology is an integral component of the global efforts to get to net zero, however, its adoption requires pragmatic tradeoffs as we transition from current behaviors to a more climate friendly society. Collapse

Topics: climate change online community responsible artificial intelligence privacy data governance

Methods: design science literature study

Delivering Healthcare Through Teleconsultations: Implications for Offline Healthcare Disparity

2022 | Information Systems Research | Citations: 2

Authors: Hwang, Elina H.; Guo, Xitong; Tan, Yong; Dang, Yuanyuan

Abstract: Teleconsultations allow patients to search for, receive, and pay for medical con ... Expand

Abstract: Teleconsultations allow patients to search for, receive, and pay for medical consultations virtually. With remote diagnosis and treatment capability, teleconsultations have been proposed as a potential solution to the long-standing social problem of geographic disparity in healthcare. Although this sounds promising, unforeseen frictions could suppress the virtual flow of healthcare. It is unclear, then, whether teleconsultations actually mobilize healthcare to underserved regions. To advance our understanding, we first empirically investigate whether teleconsultations generate a virtual flow of healthcare to mitigate geographic healthcare disparity. Second, we examine whether social, information, and geography frictions are present in the virtual healthcare flow. To this end, we curate unique data capturing regional offline health resources and various regional characteristics and match them with teleconsultation instances over 10 years (2006–2015). Our exponential random graph model analysis provides encouraging empirical evidence that teleconsultations connect physicians in resourceful regions and patients in underserved areas—a desirable direction that can alleviate geographic healthcare disparity. However, we also find that various frictions are present. For instance, social and information frictions, such as cultural and linguistic differences and limited media coverage, suppress the supposedly free flow of teleconsultations across regions. Furthermore, although teleconsultation is anticipated to spark long-distance healthcare, we find that teleconsultations are less likely as the regions between patient and physician become farther apart. We examine two plausible mechanisms that contribute to the observed geography friction: (1) a low-information bandwidth of a teleconsultation channel and (2) the financial constraint of rural patients. Supplementary analyses using granular data (fees, physician ranks, and illness types) provide corroborating evidence for the proposed mechanisms. Collapse

Topics: electronic health internet technology human resource management healthcare data societal evaluation criteria

Methods: regression analysis method robustness check experimental group longitudinal research cross sectional research

How to Conquer One’s Weaker Self: Does Autonomy Affordance Increase Goal Performance and Well-being?

2021 | HICSS | Citations: 0

Authors: Gimpel, Henner; Nüske, Niclas; Regal, Christian

Abstract: Positive self-tracking technologies support users in conducting personal analyti ... Expand

Abstract: Positive self-tracking technologies support users in conducting personal analytics and aim to foster their users’ goal attainment and well-being. A driver for these two is the experience of autonomy which can be afforded by self-tracking IS. In this paper, we examine the influence of autonomy affordance provided by self-tracking IS as well as its actualization on goal performance and well-being. For this purpose, empirical data was collected in a field experiment using a self-developed mobile self-tracking application. The results of a path analysis indicate that the mere provision of autonomy affordance is positively linked to well-being and that its actualization positively affects goal performance, in turn improving well-being. Contributing to design knowledge in positive computing and self-tracking IS as well as Affordance Theory, we find that the design of self-tracking IS should provide autonomy affordance to further both their users' goal performance and well-being. Collapse

Topics: user experience affordance usability mobile application systems design

Methods: field experiment path analysis experiment self reported survey Cochran-Mantel-Haenzel test

Theories: theory of affordance self determination theory

The Effect of Shortening Lock-in Periods in Telecommunication Services

2020 | Management Information Systems Quarterly | Citations: 0

Authors: Baojiang Yang; Godinho de Matos, Miguel; Ferreira, Pedro

Abstract: In this research note, we study the welfare implications of shortening the lengt ... Expand

Abstract: In this research note, we study the welfare implications of shortening the length of the lock-in period associated with triple play contracts using household level data, from a large telecommunications provider, for a period of 6 months. Using a multinomial logit model to explain consumer behavior we show that, in our setting, shortening the length of the lock-in period decreases the aggregated profit of the firms in the market more than it increases consumer surplus. This result arises because shortening the length of the lock-in period increases churn, and the costs to set up service for the consumers that churn and join a new carrier supersede the increase in the consumers’ willingness to pay for service when the length of the lock-in period shortens. Collapse

Topics: consumer surplus IS economics switching cost communication service infrastructure consumer behavior

Methods: simulation descriptive statistic robustness check literature study conjoint analysis

The Effect of Binge-Watching on the Subscription of Video on Demand: Results from Randomized Experiments

2020 | Information Systems Research | Citations: 0

Authors: Godinho de Matos, Miguel; Ferreira, Pedro

Abstract: We analyze the outcomes of two randomized field experiments to study the effect ... Expand

Abstract: We analyze the outcomes of two randomized field experiments to study the effect of binge-watching on subscription to video on demand. In both cases, we offered access to subscription VoD (SVoD) to a random set of households for several weeks and used another random set of households as a control group. In both cases, we find that the households that binge-watch TV shows are less likely to pay for SVoD after these free trials. Our results suggest that binge-watchers deplete the content of interest to them very quickly, which reduces their short-term willingness to pay for SVoD. We also show that recommendation reminders aimed at widening the content preferences of households offset the negative effect of binge-watching and lessen the concerns of binge-watchers with lack of content refresh. We discuss that these recommendation reminders may help content providers manage supply costs, which may otherwise become prohibitive with frequent updates to SVoD catalogs. Collapse

Topics: digital service video streaming service willingness to pay recommender system Netflix

Methods: experiment experimental group survey robustness check instrumental variables estimation

Trusting e-voting amid experiences of electoral malpractice: The case of Indian elections

2019 | Journal of Information Technology | Citations: 0

Authors: Avgerou, Chrisanthi; Masiero, Silvia; Poulymenakou, Angeliki

Abstract: This article constructs explanatory theory on trust in e-voting, a term that ref ... Expand

Abstract: This article constructs explanatory theory on trust in e-voting, a term that refers to the use of stand-alone IT artefacts in voting stations. We study e-voting as a techno-organisational arrangement embedded in the process of elections and the broader socio-economic context of a country. Following a critical realist approach, we apply retroduction and retrodiction principles to build theory by complementing existing studies of e-voting with insights from an in-depth case study of elections in India. First, we seek evidence of trust in e-voting in the responses of the public to the announcement of election results. Then we derive the following four mechanisms of trust creation or loss: the association of e-voting with the production of positive democratic effects; the making of e-voting part of the mission and identity of electoral authorities; the cultivation of a positive public attitude to IT with policies for IT-driven socio-economic development; and, in countries with turbulent political cultures, a clear distinction between the experience of voting as orderly and experiences of malpractice in other election tasks. We suggest that these mechanisms explain the different experience with e-voting of different countries. Attention to them helps in assessing the potential of electoral technologies in countries that are currently adopting them, especially fragile democracies embarking upon e-voting. Collapse

Topics: electronic voting electronic authentication information technology infrastructure

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

Theories: socio technical theory theory of economic development sociotechnical systems theory

HOW CREATIVE CUES DETERMINE ONLINE RESPONSE TO TV COMMERCIALS: AN EMPIRICAL INVESTIGATION FOR DIGITAL-NATIVE BRANDS

2019 | European Conference On Information Systems | Citations: 0

Authors: Meder, Caroline Julia; Kemper, Jan; Brettel, Malte

Abstract: This research investigates the effect of TV advertising on website traffic and s ... Expand

Abstract: This research investigates the effect of TV advertising on website traffic and sales for new and growing e-commerce and online services brands. We created a Python-based extraction and transformation pipeline to join data from four different sources and to establish one of the most comprehensive datasets in this field. It contains approximately 300,000 TV ad airings in 2016/17 of around 800 unique creatives and associated website-tracking and brand awareness data of 23 consumer-facing digital-native brands. We draw on signaling and information processing theory to assess whether companies can boost online consumer activity by aligning creative cues in TV commercials with consumers’ awareness of their brand. Our empirical analyses reveal that informative and imagery-heavy ads are more powerful for lesser-known brands, while better-known brands achieve a higher uplift with emotional commercials. This provides compelling insights for marketing practitioners on how to conceive their TV ads to maximize online response. Our work further shows that e-commerce and media players can generate a competitive advantage by integrating disparate data sources and conducting in-depth analytics on the types of ads that achieve the highest impact for their brands as well as by developing and employing the associated information systems infrastructure to do so efficiently. Collapse

Topics: website advertising management electronic commerce Python consumer behavior

Methods: descriptive statistic statistical hypothesis test multiple linear regression regression analysis method ordinary least square

Theories: information processing theory elaboration likelihood model

The Impact of Time-Shift TV on TV Viewership and Ad Consumption

2017 | International Conference on Information Systems | Citations: 0

Authors: Belo, Rodrigo; Ferreira, Pedro; Godinho de Matos, Miguel

Abstract: We partner with a large telecommunications provider to study the impact of Time- ... Expand

Abstract: We partner with a large telecommunications provider to study the impact of Time-Shift Television (TSTV) on TV and advertisement consumption. TSTV automatically records the programs broadcasted on TV and makes them available to users for 7 days. We investigate the outcomes of a randomized experiment ran by our industry partner in which subscribers were gifted a new set of entertainment channels. A random subset of households were gifted these channels with TSTV. Another random subset received the channels without TSTV. This design allows us to attribute any observed differences in the behavior of these two groups to TSTV. Using difference-in-differences, we find that, on average, receiving TSTV increased daily TV time, did not reduce live TV viewership, and increased viewership concentration. Finally, we find that receiving TSTV did not impact the probability of ad exit from the pre-existing channels, suggesting that households did not use TSTV to strategically avoid advertisements. Collapse

Topics: digital service marketing management streaming service Netflix Hulu

Methods: experiment experimental group instrumental variables estimation ordinary least square descriptive statistic

Leveraging Big Data for Sustaining Open Innovation: The Case of Social TV

2017 | Information Systems Management | Citations: 4

Authors: Fortunato, Angela; Gorgoglione, Michele; Petruzzelli, Antonio Messeni; Panniello, Umberto

Abstract: The concepts of open innovation and big data have been largely explored, but lit ... Expand

Abstract: The concepts of open innovation and big data have been largely explored, but little research focused on the use of big data for open innovation activities. We explore how big data obtained by social media can be useful for open innovation activities in Television (TV) domain. Results demonstrate that the analysis of open data coming from social media data allows TV managers to identify the specific TV contents and Twitter elements, which are able to increase the social media traffic related to the show and gain insights for innovating the design of the TV show’s episodes or seasons. Collapse

Topics: Twitter social media big data innovation management open innovation

Methods: linear regression analysis regression analysis method