Is personally identifiable information really more valuable? Evidence from consumers' willingness-to-accept valuation of their privacy information

2023 | Decision Support Systems | Citations: 0

Authors: Liu, Huan; Li, Kai; Chen, Yan; Luo, Xin (Robert)

Abstract: Information privacy is not yet a mature “product.” The amount of monetary reward ... Expand

Abstract: Information privacy is not yet a mature “product.” The amount of monetary reward that firms should pay consumers to obtain their data is unknown. This paper measures consumers’ valuation of two types of personal information—personally identifiable information (PII) and non-PII, with the willing-to-accept (WTA) payoffs using a multi-study mixed-methods approach. We conducted two realistic auction experiments with 150 and 415 participants, respectively, as well as one interview study with 31 participants and a meta-analysis study to explain international differences in WTA prices between China and other countries. We found that while con­ sumers claimed that PII was more valuable than non-PII in the interview study, they did not demand a higher WTA price when monetizing PII in the two experimental studies. However, consumers became more cautious and provided fewer data items when dealing with PII, compared to non-PII. Consumers may ask for a higher price for non-PII than PII when they need to disclose more information. They also strategically select information being disclosed, if possible, to reduce privacy risk. Context only matters in WTA price for certain types of data, which is medical PII data in our case. Specifically, the WTA price for PII is higher in the medical information context than in the shopping information context. The meta-analysis shows that individualism and uncertainty avoidance are two key cultural dimensions explaining international differences in WTA prices. Collapse

Topics: privacy healthcare data misinformation data breach mobile health

Methods: experiment qualitative interview meta analysis regression analysis method survey

Value Co-Creation Mechanisms in a Born Digital Short-form Video Platform: Kuaishou

2022 | HICSS | Citations: 0

Authors: Baber, William; Yao, Chen

Abstract: This paper focuses on the value co-creation mechanism of the value constellation ... Expand

Abstract: This paper focuses on the value co-creation mechanism of the value constellation of a digital services platform exemplified by the case of Kuaishou. This born-digital platform business is among the largest short-form video platforms in the world connecting makers, shoppers, performers, advertisers, and others. Using business model theory to understand the firm, this study employs “gravities theory” as the main framework to identify where and how value is created and shared among the platform’s participants. The study concludes that valuerecognizing gravity, value-sharing gravity, and value realizing-gravity are found in the Kuaishou value constellation. Kuaishou forms the center dominating the internal value gravities while value gravities are found also externally, around the platform. Analysis of the business model shows that the platform’s distinct culture is a valuable mechanism of success within China, but may be a contributing factor to the so far slow international development. Collapse

Topics: Kuaishou business model participatory design mobile application website

Methods: design methodology case study qualitative interview

Four Patterns of Digital Innovation in Times of Crisis

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

Authors: Buck, Christoph; Kreuzer, Thomas; Oberländer, Anna; Röglinger, Maximilian; Rosemann, Michael

Abstract: Exogenous shocks, such as COVID-19, significantly change fundamental premises on ... Expand

Abstract: Exogenous shocks, such as COVID-19, significantly change fundamental premises on which economies and individual organizations operate. The light-asset nature of digital technologies provides the potential to not only facilitate an immediate crisis response, but also to catalyze novel innovation types to address the societal and economic changes caused by exogenous shocks. As digital innovation became a relevant part of organizations’ COVID-19 responses, and given that a corresponding structured knowledge base did not exist, we found the need to better understand crisis-driven digital innovation. Drawing on prior knowledge from crisis management and organizational ambidexterity as a theoretical lens, we present four patterns of crisis-driven digital innovation, classified along two dimensions: (1) driven by a sense of urgency or ambition and (2) focusing on exploitative or explorative innovation. Based on a thorough analysis of digital innovation cases during the COVID-19 crisis, we illustrate and discuss these four patterns and their emerging properties to explain how and why they led to digital innovation in the context of the crisis. Our work contributes to the explanatory knowledge on digital innovation in times of crisis, helping researchers and practitioners to understand and develop digital innovation in response to exogenous shocks. Collapse

Topics: innovation management emergency management digital innovation covid 19 business model

Methods: case study qualitative interview theory development qualitative coding literature study

Impacts of Reminding Social Nudges on User Engagement Behaviors: Evidence from a Field Experiment

2022 | International Conference on Information Systems | Citations: 0

Authors: Li, Manzhou; Kuang, Lini; Wang, Alex; Zhang, Jiayin; Xu, Sean Xin

Abstract: Social nudges are well recognized for their effectiveness in promoting desired ... Expand

Abstract: Social nudges are well recognized for their effectiveness in promoting desired behaviors. However, online information overload makes social nudges less appealing. Reminding people about social nudges may boost their efficacy. We investigate the treatment and persistent effect of a reminding social nudge on user engagement with a new function and the spillover effect on user engagement with an existing function through a large-scale randomized field experiment. Our results indicate that compared with a social nudge, the reminding social nudge reduces user engagement with the new function over the treatment period. Interestingly, after removing the nudges, users who received the reminding social nudge are more engaged with the new function than users received the social nudge. The reminding social nudges designed for the new function also have a negative spillover impact on user engagement with the existing function. Theoretical and practical implications about using nudges to introduce new functions are discussed. Collapse

Topics: social media user behavior social presence mobile application participatory design

Methods: experiment theory development experimental group randomized field experiment regression analysis method

Theories: social presence theory

Understanding users’ negative responses to recommendation algorithms in short-video platforms: a perspective based on the Stressor-Strain-Outcome (SSO) framework

2022 | Electronic Markets | Citations: 0

Authors: Ma, Xiumei; Sun, Yongqiang; Guo, Xitong; Lai, Kee-hung; Vogel, Doug

Abstract: AI-based recommendation algorithms have received extensive attention from both a ... Expand

Abstract: AI-based recommendation algorithms have received extensive attention from both academia and industry due to their rapid development and broad application. However, not much is known regarding the dark side, especially users’ negative responses. From the perspective of recommendation features and information characteristics, this study aims to uncover users’ negative responses to such AI-based recommendation algorithms in the algorithm-driven context of short-video platforms. Drawing on the stressor-strain-outcome (SSO) framework, this study identifies information-related stressors and examines their influence on users’ negative responses to a recommendation algorithm. The results show that such algorithms’ greedy recommendation feature induces information narrowing, information redundancy, and information overload. These information factors predict users’ exhaustion, which in turn promotes users’ psychological reactance and discontinuance intention. This study adds knowledge on the dark side of recommendation algorithms. Collapse

Topics: information overload usage intention artificial intelligence usability personalization

Methods: computational algorithm survey partial least squares regression Kolmogorov-Smirnov test statistical hypothesis test

Born-digital: The Internationalisation path of digital firms

2022 | HICSS | Citations: 0

Authors: Ye, Mingzhu (Stella); Kang, Yuanfei; Scott-Kennel, Joanna

Abstract: While digital firms are playing an increasingly important role in the world econ ... Expand

Abstract: While digital firms are playing an increasingly important role in the world economy, their international expansion remains an emergent topic for international business researchers. We still lack a clear understanding of the characteristics and patterns of internationalisation by digital firms. This study aims to address this research gap by examining the path of digital firms’ international expansion. Applying the research methods of tabulation analysis and mini case study, our study reveals that digital firms expand into foreign markets in a way that significantly differs from conventional brick-and-mortar firms, thus questioning explanations provided by extant internationalisation theories. Three patterns of digital firms’ internationalization are identified. Based on analysis of archival data, this study contributes to theoretical development of internationalisation theory and provides guidance to managers of digital firms creating and implementing international expansion strategies. Collapse

Topics: database system electronic business information technology infrastructure network effect Kuaishou

Methods: descriptive statistic case study

Theories: internationalization theory

Does stratification in social media stagnate resources? Evidence from attention flow

2021 | International Conference on Information Systems | Citations: 0

Authors: Li, Manzhou; Wang, Lin; Li, Xing; Xu, Sean Xin; Wang, Alex; Ye, Can

Abstract: Online platforms promise to alleviate social stratification by encouraging and ... Expand

Abstract: Online platforms promise to alleviate social stratification by encouraging and facilitating resource exchange in the digital economy. While the distribution and flow of online attention are deemed critical to online businesses, there has been limited discussion on stratification and resource exchange. This paper takes the first step to empirically examine stratification and the causal attention flow on social media platforms. Leveraging detailed observations of visitor traffic on a live-streaming platform, we adopt the data-driven method integrating machine learning and econometrics analysis to identify the causal structure of resource flow among broadcaster strata. Our findings reveal that although there is stratification on social platforms, resources are not stagnated. Attention flows between all strata have an overall positive impact on the platform, alleviating the worries of strata consolidation caused by resource stagnation. Collapse

Topics: social media Kuaishou mobile application social network covid 19

Methods: qualitativ observational study computational algorithm machine learning econometric modeling causality analysis

Live streaming commerce and consumers’ purchase intention: An uncertainty reduction perspective

2021 | Information & Management | Citations: 0

Authors: Lu, Benjiang; Chen, Zhenjiao

Abstract: The fusion of live streaming and e-commerce is booming. However, it remains uncl ... Expand

Abstract: The fusion of live streaming and e-commerce is booming. However, it remains unclear how live streaming affects consumers’ purchase intention (PI) in online markets of clothes and cosmetics. On the basis of signaling theory and uncertainty literature, we propose broadcasters’ physical characteristics conveyed through vicarious product trials and values shared via instant interaction as two signals that can help reduce product uncertainty and cultivate trust for the consumers with similar physical traits and values. The analysis of survey and interview data largely supports the hypotheses. This research contributes to the literature of live streaming commerce, uncer­ tainty literature, and signaling theory. Collapse

Topics: electronic commerce live streaming platform electronic market website marketing management

Methods: survey partial least squares regression qualitative interview structural equation modeling PLS tool

Theories: signaling theory

A Dual-role Trust Model for Social Commerce: A Guanxi Perspective

2021 | Information & Management | Citations: 0

Authors: Su, Chao; Min, Qingfei; Scornavacca, Eusebio; Liu, Zilong

Abstract: Different from traditional e-commerce platforms, friend-to-friend (Fr2Fr) social ... Expand

Abstract: Different from traditional e-commerce platforms, friend-to-friend (Fr2Fr) social commerce transactions occur among friends within a private network on social media. In this particular context, users assess their friend with dual roles in the decision-making process: friend role and seller role. Based on role theory, this study develops a dual-role trust model for exploring trust mechanisms within multiple roles. Furthermore, this study adopts a unique Guanxi perspective to explore the behavioral interplay among friends. The moderating effects of Guanxi on role-based trust are tested using a survey of 317 WeChat users. Theoretical and practical implications are discussed. Collapse

Topics: social commerce WeChat social media social network Instagram

Methods: survey theoretical contribution factor analysis literature study statistical hypothesis test

Theories: role theory