The Voice of Commerce: How Smart Speakers Reshape Digital Content Consumption and Preference
2023 | Management Information Systems Quarterly | Citations: 0
Authors: Son, Yoonseock; Oh, Wonseok; Im, Il
Abstract: The present study investigates the effects of smart speaker usage on consumers' ...
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Abstract: The present study investigates the effects of smart speaker usage on consumers' digital content search, purchase, and consumption behaviors. Using a unique panel data set comprising information on household patterns of digital content (e.g., video on demand [VOD]) transactions and consumption and smart speaker usage, we found that the adoption of smart speakers is positively associated with the increased purchase of digital content but negatively related to the average rate of content completion. More specifically, we found that VOD content-related expenditures increased by 21.5% following smart speaker adoption but the average consumption of VOD content purchased decreased by 3.0%. We also examined millions of data points on TV remote-control use and conducted a survey via MTurk to support the validity of the findings. Smart speaker usage can reduce search costs, which subsequently increases search incidence and conversion rates, behavioral changes that can lead to a rise in purchases. We further show that the use of smart speakers for purposes other than information seeking is positively associated with purchases. We develop insights on how to elicit economic value from voice recognition technologies and provide implications for the design and implementation of effective voice commerce strategies.
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Topics:
smart speaker recommender system consumer behavior digital service video streaming service
Methods:
experimental group survey longitudinal research sensitivity analysis usage data
Digitalization of Loyalty: Impacts of Mobile Technology on Reward Redemption and Engagement Level
2023 | Journal of Management Information Systems | Citations: 0
Authors: Son, Yoonseock; Oh, Wonseok
Abstract: Although digitalization is a prevalent strategy in reward programs, a minimal am ...
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Abstract: Although digitalization is a prevalent strategy in reward programs, a minimal amount is known regarding the relationship between reward app usage and reward redemption behaviors. The enhanced availability and accessibility of information via mobile app can alter customers' reward-redemption patterns and engagement level, highlighting the need for firms to adjust their reward-based service strategies. Using unique datasets that reflect individual consumers' transactional and reward redemption behaviors, we conducted a series of analyses to capture the dynamics in the latent engagement state transitions of customers according to the type of reward program used. Results show that although reward app usage, on average, induces a more active engagement state, it polarizes the volatility of engagement state transitions. Furthermore, we find that greater volatility of engagement state transitions is significantly associated with a higher likelihood of churn. Finally, a follow-up survey and panel vector autoregression analyses are conducted to uncover the mechanisms that underlie the relationship. The results provide insights into how retailers can strategically design their reward programs in the emerging mobile-based omnichannel environment.
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Abstract: We investigate the effectiveness of goal management in online health communities ...
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Abstract: We investigate the effectiveness of goal management in online health communities (OHCs) in light of social support and self-regulation for patients with chronic diseases. With a five-year longitudinal data set, we found that informational support contributes to both goal progress and self-reflection. Emotional support encourages patients to practice self-reflection if the goals are set for non-mental diseases. We also find that patients’ selfreflection promotes goal progress. Finally, the lack of attention control negatively affects goal progress and self-reflection. Grounded in social cognitive theory, this study is among the first to empirically examine the effect of self-regulation and social support in OHCs.
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Topics:
online community website self efficacy affordance electronic health
Methods:
qualitative content analysis longitudinal research literature study instrumental variables estimation descriptive statistic
Theories:
social cognitive theory
The Impact of Bike-Sharing Services on Local Business
2023 | International Conference on Information Systems | Citations: 0
Authors: Song, Mingi; Lee, Gunwoong; Kim, Keongtae
Abstract: Despite the potential of bike-sharing services to influence the local economy, ...
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Abstract: Despite the potential of bike-sharing services to influence the local economy, the impact of these services on local businesses has been overlooked. Hence, this research aims to examine how a bike-sharing program influences the success of local businesses. We analyzed sales data of 2,928 local restaurants recorded from February to August 2019, along with bike rentals made near the restaurants. Our findings show that the number of bike rentals around a restaurant is positively associated with its sales. Further, the impact of bike rentals intensifies when there are more subway passengers around the restaurants but weakens with more bus passengers. Moreover, non-franchise and lesspopular restaurants benefit more from bike-sharing programs. Our findings offer significant contributions to the existing literature by theorizing the value of sharing economy in the local economy. Practically, our results provide strategic implications for policymakers, bike-sharing service providers, and local businesses to effectively use sharing economy programs.
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Topics:
sharing platform organizational success ride sharing platform database system geographic information system
Methods:
robustness check longitudinal research regression analysis method theory development structured literature research
DESIGNING FAIR AI SYSTEMS: HOW EXPLANATION SPECIFICITY INFLUENCES USERS’ PERCEIVED FAIRNESS AND TRUSTING INTENTIONS
2023 | European Conference On Information Systems | Citations: 0
Authors: Song, Yiliao; Cui, Tingru; Liu, Feng
Abstract: Artificial intelligence (AI) is revolutionizing the way we make decisions, but ...
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Abstract: Artificial intelligence (AI) is revolutionizing the way we make decisions, but it is rarely perfect, and human-centric AI calls for a thorough empirical understanding of how the the theoretical fairness notion translates into perceptions of fairness in practical scenarios. Drawing upon the explainable artificial intelligence literature and elaboration likelihood model, we investigate the interaction effects of explanation specificity of AIs and issue involvement of users. We used a 3x2 experiment design with 456 participants to verify the proposed research model. We found that for individuals of low issue involvement, AI with global explanation is more effective, while AI feature-based explanation is more effective in influencing high issues involved individuals on their fairness perceptions of AI decisions, consequently leading to their trusting intentions towards AI decision-making systems. This study significantly contributes to the theoretical landscape of AI fairness and human-AI interaction, and provide important practical contributions for AI designers.
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Topics:
artificial intelligence explainable artificial intelligence decision making human AI collaboration electronic commerce
Methods:
experiment computational algorithm survey descriptive statistic analysis of covariance
Theories:
elaboration likelihood model
What shall I learn? Two-stage decision making under social influence on corporate E-learning platforms
Abstract: E-learning platforms have increasingly been adopted by corporate employees in th ...
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Abstract: E-learning platforms have increasingly been adopted by corporate employees in the workplace. On these plat forms, users typically follow a two-stage decision-making process: they first choose which content to learn and then decide how much to continue learning. The decisions of individual employee users are influenced by members of the same workplace organization (group influence) and general users on the platform from other organizations (mass influence). Extant research has not shown how different types of social influence impact different decisions. Using data from a corporate e-learning platform, this study examines how group influence and mass influence support employees’ learning decisions, from the perspective of the elaboration likelihood model (ELM). The results reveal that mass users’ past choices only influence low-elaborative choice decisions but not high-elaborative engagement decisions. In contrast, workgroup members’ past choices influence both the low-elaborative choice and high-elaborative engagement decisions. Furthermore, positive synergy exists between the two types of social influence for the choice decision, but the synergy dissipates for the engagement decision. These findings can help online content platforms design appropriate information-sharing systems to influence users’ choice and engagement decisions. The results can also help corporates take advantage of social influence to motivate employees to engage in work-related online learning.
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Topics:
social influence online learning system decision making decision support system logistics management
Methods:
descriptive statistic robustness check case control study synthetic control method paired t-test
Theories:
elaboration likelihood model
Garud Survey: A Case of Improving Safety and Transparency in Mining Operations Using Drone Technology
Abstract: SAI Minerals Pvt. Limited (SAI Minerals), a renowned company engaged in mining ...
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Abstract: SAI Minerals Pvt. Limited (SAI Minerals), a renowned company engaged in mining cement-grade limestone and manufacturing cement in Rajasthan, India, has been grappling with recurring survey reconciliation and safety issues across its mining operations. Additionally, in compliance with new government regulations, they are now required to conduct aerial surveys and submit digital images and survey reports to the Indian Bureau of Mines (IBM). SAI Minerals sought a permanent solution to these challenges and approached Garud Survey Private Limited (Garud Survey), a technology-driven surveying agency. SAI Minerals recognized that these issues not only impacted their production but also tarnished the company's reputation in the mining industry due to frequent accidents. Garud Survey recommended that the best approach to address the problem was to make the survey process faster and more accurate, enabling all stakeholders to have a clear and up-to-date view of the operational status. Garud Survey proposed the implementation of cutting-edge technology to identify and address the root cause of the problem. This case further explores the application of system analysis and design to the adoption and implementation of the latest technology in a real-world use case, as well as the challenges associated with managing change.Modi: Of course, I will try my best to find a suitable long-term solution. I think that if we can reduce the surveying and processing time from 3-4 days/site at present to about one day/site, most of our problems will be solved. Toward this, we can leverage drone technology to carry out volumetric surveys of your mining and stockpile sites. An added advantage is that the survey team would not have to be exposed to unsafe working conditions. Choudhary: I have heard a few things about drone technology recently but don't know how it works. We are not very tech-savvy around here. Can you explain how drones can help us and what we need to do?Modi: Drones, also known as unmanned aerial vehicles (UAV's), are equipped with sensors and cameras that capture high-resolution images, videos, and other data from the air. Drone technology has revolutionized the way aerial surveys are conducted (see Figure 3). As the mining industry is also looking forward to leveraging the latest technologies, drones are becoming increasingly popular in transforming mining operations (see Figure 4). The drone captured image/video data can be processed and analyzed to generate accurate and detailed maps, digital elevation models (DEMs) (Swabey, 2023), 3-D models, and reports, which are valuable for planning, monitoring, and managing mining operations. Typically, a mining site can be surveyed within a few hours and the survey reports can be generated quickly for faster decision making and operational planning. Jangid: Sounds interesting.Choudhary: This is still not entirely clear to me. How can we calculate the volume of the mined area or any stockpile from aerial images? Can you please explain how it will work?Modi: All right, let me simplify further. The surveying process can be broken down into five broad steps. These are (a) data collection, (b) image processing, (c) developing DEMs and 3D-models, (d) data analysis, and (e) reporting and visualization. We can geo-reference the sites and operational areas being operated by different mining contractors. Every month, the survey team, a drone-pilot, along with one assistant, will visit the survey site. The flight path for the survey can be pre-defined before reaching the site. The drone will take off from a designated point, fly over the site, and return to the same place. Physically inaccessible areas can also be easily covered by the drone. Based on my assessment of the mining operations area, it should not take more than 2-3 hours to complete the survey of a site. Since all four sites are in close proximity, we can cover all of them in 4-5 days. In parallel, the data captured by the drone will be processed by our office staff at the backend. Image processing software is backed up by artificial intelligence which helps to quantify and extract topography and volumetric information from the high definition images captured during drone survey (Hsu et al., 2021). It is an automated process that can be run overnight without manual intervention. Once the data is processed, the surveyor and planning team can use it for analysis and finalizing the volumetric calculations, which can then be utilized by the Accounts/Finance department for mineral accounting and contractors' payment. An example of volumetric survey calculation using a drone image is shown in Figure 5.The advantage of this approach is that the surveyor and other team members will not have to traverse difficult terrains, will avoid being exposed to unsafe working conditions, and any ongoing activities at the sites will not be disrupted as the survey team would work remotely. Additionally, the representation of the area can be displayed in a three-dimensional format, which can be easily understood by the contractors, allowing them to confirm and validate the progress of work with ease.Choudhary: Really! Modi, it sounds too good to be true. I have serious reservations about whether this new system or process can be implemented. Our mining contractors are not very technology savvy. Why would they believe in the accuracy of the survey done by a drone? Also, who would be responsible in case the data is not collected accurately as the same will be used for mineral accounting?Modi: I understand your concerns, but the accuracy of the survey can be assured if we follow the laid-out SOPs and use drones that comply with the specifications recommended by the Indian Bureau of Mines. In any case, as per the recent regulations, each company is expected to submit aerial survey reports along with the images to the government.Saxena: I agree with Choudhary's concerns. Previously, we had implemented a mobile application for our contractors and management team to get real-time information on the mineral being mined in each shift. Though it was a great idea, it did not work out. The daily reports were not reconciling with the month-end survey volume. The reception of the technological solution among contractors and personnel was inadequate, with grievances that it was resulting in redundant labor and deviating them from our single source of veritable data ideology. It signified that multiple iterations of the same data were disseminated Communications of the Association for Information Systems 955 Volume 53 10.17705/1CAIS.05340 Paper 40 among disparate departments, thus making it challenging to ascertain the most up-to-date and reliable data. I am afraid this new tech-based proposed solution may suffer a similar fate.Modi: I know acceptance among contractors is a big concern as it is directly linked with their payment system. Even for the employees, it will not be that easy. I have seen this issue take center stage in many of my earlier projects, but, nevertheless, we have been successful in implementing the system. We are confident that we can successfully implement a drone-based surveying technology for SAI Minerals.Jangid: Thank you for the clarifications. I, too, had similar doubts. Regarding the lack of tech-savviness of the contractors, I think we can manage that. The contractors are not directly involved in the survey work.They are mainly concerned about the survey's end results as it is linked to their payment amounts. However, there will be some involvement of contractors for sharing information, demarcation of areas, etc., which can be managed by providing training to their key stakeholders.Ashish: This is fantastic. I think SAI Minerals can identify a site for a pilot project and once successful, replicate the same model/process for the rest of its mining sites and processing plants.Mani: I am still not convinced. I think that Modi's technology-based solution looks pretty fancy, and it may cost us a fortune. With severe production losses in the recent past, we are not in a position to make a big capital investment in the current financial year.
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Topics:
mobile application
Methods:
survey
Pathways to Digital Service Innovation: The Role of Digital Transformation Strategies in Established Organizations
2023 | Information Systems Frontiers | Citations: 5
Authors: Soto Setzke, David; Riasanow, Tobias; Böhm, Markus; Krcmar, Helmut
Abstract: Digital technologies are radically changing how established organizations design ...
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Abstract: Digital technologies are radically changing how established organizations design novel services. Digital transformation (DT) strategies are executed to manage the transition from product-centric to service-centric business models based on digital technologies. However, little is known about what configurations of DT strategies lead to successful digital service innovation (DSI) in established organizations. We employ fuzzy-set Qualitative Comparative Analysis on a set of 17 case studies of DT strategies from established organizations with different industry backgrounds. We identify several distinct configurations of DT strategies that lead to successful and unsuccessful DSI. Based on these configurations, we deduce that the threat of digital disruption negatively impacts an organization’s innovation activities. Furthermore, we find that strategic partnerships can be leveraged by organizations that face an imminent threat of digital disruption while organizations with competitive advantages may rely on “do-it-yourself” approaches. Lastly, we find that the involvement of a C-level executive is a necessary requirement for successful DSI. Our results contribute to theory by integrating research on DSI and DT, providing a perspective on DSI failure, and employing a configurational research approach that allows us to highlight interdependencies between factors as well as insights into the individual factors. Furthermore, we provide actionable recommendations for executives.
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Topics:
innovation management decision making business process innovation digital disruption outsourcing
Methods:
case study qualitative interview qualitative coding theory development literature study
Theories:
fuzzy set theory
Gender bias in IT entrepreneurship: the self-referential role of male overrepresentation in digital businesses
2023 | European Journal of Information Systems | Citations: 0
Authors: Sperber, Sonja; Linder, Christian
Abstract: Drawing on optimal distinctiveness theory and Jellinek’s concept of the Normativ ...
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Abstract: Drawing on optimal distinctiveness theory and Jellinek’s concept of the Normative Force of the Factual, we provide an alternative explanation for how the normality of gender imbalance in IT-driven start-ups (i.e., the fact that there are far more men than women) becomes normativity (what everyone expects to see), and eventually an imperative for those desiring to enter the field. We uncover the process used to pressure female founders of IT start-ups into being like the prototypical actor, usually male, and how failing to do so reduces audience support. This process is self-referential and self-enforcing and thus detached from efforts to reduce hurdles and obstacles for female founders. Our article provides recommendations on how to break this self-referential cycle.
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Topics:
business model blockchain entrepreneurship decision making IT career
Methods:
design artifact theory development logistic regression descriptive statistic multiple regression
Designing an AI-enabled Bundling Generator in an Automotive Case Study
2023 | HICSS | Citations: 0
Authors: Spreitzenbarth, Jan; Stuckenschmidt, Heiner; Bode, Christoph
Abstract: Procurement and marketing are the main boundary-spanning functions of an organiz ...
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Abstract: Procurement and marketing are the main boundary-spanning functions of an organization. Some studies highlight that procurement is less likely to benefit from artificial intelligence emphasizing its potential in other functions, i.e., in marketing. A case study in the automotive industry of the bundling problem utilizing the design science approach is conducted from the perspective of the buying organization contributing to theory and practice. We rely on information processing theory to create a practical tool that is augmenting the skills of expert buyers through a recommendation engine to make better decisions in a novel way to further save costs. Thereby, we are adding to the literature on spend analysis that has mainly been looking backward using historical data of purchasing orders and invoices to infer saving potentials in the future – our study supplements this approach with forward-looking planning data with inherent challenges of precision and information-richness.
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Topics:
business-to-business recommender system marketing management media richness usability
Methods:
computational algorithm case study cluster analysis word2vec word embedding