Toward Business Models for a Meta-Platform: Exploring Value Creation in the Case of Data Marketplaces

2023 | HICSS | Citations: 0

Authors: Abbas, Antragama Ewa; Ofe, Hosea; Zuiderwijk, Anneke; De Reuver, Mark

Abstract: Investigating meta-platforms has been a continuing concern within information sy ... Expand

Abstract: Investigating meta-platforms has been a continuing concern within information system literature due to the increasingly complex constellations of platforms in ecologies of ecosystems. A meta-platform is a platform built on top of two or more platforms, hence connecting their respective ecosystems. One promising case to benefit from meta-platforms is data marketplaces: a particular type of platform that facilitates responsible (personal and non-personal) data sharing among companies. Given that business models for meta-platforms are largely unexplored in this emerging case, how they can create value for data marketplaces remain speculative. As a starting point toward business model investigations, this paper explores value creation of a meta-platform in the case of data marketplaces. We interviewed fourteen data-sharing consultants and six meta-platform experts. We identify three potential value creation archetypes of a meta-platform. The discovery aggregator archetype emphasizes searching and dispatching value, while the brokerage one focuses on promoting and supporting value. Finally, the one-stop-shop archetype creates value by standardizing, regulating, sharing, and experimenting. This study is among the first that explore value creation archetypes for a meta-platform, thus identifying core value as a base for further business model investigations. Collapse

Topics: value creation business model digital platform information technology infrastructure decision making

Methods: qualitative interview theory development personal interview longitudinal research

‘What a waste of time’: An examination of cybersecurity legitimacy

2023 | Information Systems Journal | Citations: 0

Authors: Cram, W. Alec; D'Arcy, John

Abstract: Managers who oversee cybersecurity policies commonly rely on managerial encourag ... Expand

Abstract: Managers who oversee cybersecurity policies commonly rely on managerial encouragement (e.g., rewards) and employee characteristics (e.g., attitude) to drive compliant behaviour. However, whereas some cybersecurity initiatives are perceived as reasonable by employees, others are viewed as a ‘waste of time’. This research introduces employee judgements of cybersecurity legitimacy as a new angle for understanding employee compliance with cybersecurity policies over time. Drawing on theory from the organisational legitimacy and cybersecurity literature, we conduct a three-wave survey of 529 employees and find that, for each separate wave, negative legitimacy judgements mediate the relationship between management support and compliance, as well as between cybersecurity inconvenience and compliance. Our results provide support for cybersecurity legitimacy as an important influence on employee compliance with cybersecurity initiatives. This is significant because it highlights to managers the importance of not simply expecting compliant employee behaviour to follow from the introduction of cybersecurity initiatives, but that employees need to be convinced that the initiatives are fair and reasonable. Interestingly, we did not find sufficient support for our expectation that the increased likelihood of a cybersecurity incident will moderate the legitimacy-policy compliance relationship. This result suggests that the legitimacy perceptions of employees are unyielding to differences in the risk characteristics of the cybersecurity incidents facing organisations. Collapse

Topics: IT security top management support cybersecurity behavior pandemic privacy

Methods: survey SEM tool structural equation modeling survey design confirmatory factor analysis

Theories: fairness theory organizational behavior theory

Evaluating Effects of the Payment Ecosystem on Central Bank Digital Currency Adoption and Design

2023 | HICSS | Citations: 0

Authors: Digiammaria, Chiara; Omarini, Anna; Kauffman, Robert; Kim, Kwansoo

Abstract: CBDC has become a discussion topic with worldwide economic and societal relevanc ... Expand

Abstract: CBDC has become a discussion topic with worldwide economic and societal relevance. Payment system efficiency is a top driver for digital currency adoption. We examine literature gaps for payment ecosystem impact on CBDC adoption and design, and conduct test for 65 World Bank countries. We measure payment alternatives and preferences impacts and estimate least squares and limited dependent variables regressions. CBDC adoption is driven by payment ecosystem, alternative characteristics, e-money usage, perceived safety, and infrastructure. This signals that user familiarity with digital payment methods, trust in authorities, and structural capabilities support CBDC adoption. Adoption is inversely related to alternatives that dampen the need for CBDC. Transaction volume and trust in authorities are linked to choosing a central database, not a digital ledger technology (DLT) infrastructure. Deviations occur from ambiguous effects of cash and DLT usage on CBDC adoption and industry concentration, architecture, and linkages. Collapse

Topics: analytical information system digital innovation

Methods: robustness check deep learning propensity score matching convolutional neural network causality analysis

INTRUSIVE SMART HOME ASSISTANTS: AN EXPLORATORY STUDY AND SCALE DEVELOPMENT

2023 | European Conference On Information Systems | Citations: 0

Authors: Raff, Stefan; Wentzel, Daniel

Abstract: Despite having many useful capabilities, more recently smart home assistants (S ... Expand

Abstract: Despite having many useful capabilities, more recently smart home assistants (SHAs) have also raised negative feelings and doubts which may cause resistance among potential users. However, current research has neither examined SHAs from the perspective of resistance nor its specific drivers (inhibitors). We address this gap and adopt a mixed-method research design with two studies that build on each other. Study 1 (N=10) elicits the belief structures underlying resistance to SHAs. Study 2 (N=276) builds on these findings and delves deeper into the understanding of one novel identified inhibitor, namely "perceived intrusion", by taking initial strides towards creating a measurement instrument. Our results contribute to the previously under-researched "dark side" of smart consumer IT by examining the phenomenon of resistance. This way, we hope to inspire future research to expand on our findings, as well as apply our measurement instrument in other smart product contexts. Collapse

Topics: smart device privacy Amazon Echo mobile system knowledge creation

Methods: qualitative interview survey survey design mixed method personal interview

Social Influence Effect on Consumers’ Intention to Adopt Mobile Banking Services

2022 | Information Systems Management | Citations: 0

Authors: Arruda Filho, Emílio José Montero; Nogueira, Aline Cristina Lobo; Costa, Everaldo Marcelo Souza da

Abstract: This article analyzes how the perception of risk moderates the relationships bet ... Expand

Abstract: This article analyzes how the perception of risk moderates the relationships between social influence and the characteristics of personal innovativeness (PI), perceived utility (PU) and trust, leading to an increase in the adoption process for mobile banking. A quantitative study was developed, using partial least squares SEM. It was identified that social influence is antecedent of PI, PU and trust in the adoption of mobile banking and perceived risk moderates these relations described. Collapse

Topics: social influence banking sytem mobile application user experience technology adoption

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

Information Privacy Assimilation in IT Organizations

2022 | Information Systems Frontiers | Citations: 0

Authors: Attili, V. S. Prakash; Mathew, Saji K.; Sugumaran, Vijayan

Abstract: Information privacy concerns have been rising over a few decades. As per the rec ... Expand

Abstract: Information privacy concerns have been rising over a few decades. As per the recent General Data Protection Regulation, organizations need to implement the highest-possible privacy settings by design and default. Following the neo-institutional theory, this study develops a model for understanding the mechanism of information privacy assimilation in Information Technology (IT) organizations. This study treats information privacy as a distinct dimension separate from security. After analyzing a sample survey data of 214 respondents from the IT industry, privacy capability and organizational culture emerged as influencing factors with a statistically significant influence on information privacy assimilation. The findings from this study support the mediating role of senior management participation between the external coercive forces and privacy-related business strategy. Business strategy also plays a mediating role between coercive/normative forces and privacy-related activities within an organization. Here the mimetic forces show a direct influence on privacy-related activities. A positive moderating effect of organizational culture on normative forces and privacy-related activities relationship; and a negative moderating effect of privacy capability on mimetic forces and privacy-related activities relationship are observed. These findings could enable senior managers to respond to institutional pressures by focusing on appropriate factors within an organization for developing effective privacy strategies and actions. This work is an extension of the pilot work that was published in Communications of the Association for Information Systems (CAIS), 2018. The prior work focuses on developing the propositions qualitatively. Building on that, we have formally defined the hypotheses, developed the appropriate survey instrument and collected the primary data which is large enough to do adequate analysis. Adopted a quantitative approach using an extensive sample survey of IT organizations, followed a more rigorous process for data collection, analysis, and discussion of the results. In addition, based on the lessons learned from the pilot study, we have updated the research model and hypotheses with a focus on privacy-related business strategy and activities. Collapse

Topics: privacy strategic management organizational culture innovation management enterprise resource planning

Methods: survey survey design partial least squares path modeling partial least squares regression theory development

Theories: institutional theory social psychology theory management theory

Adoption of Smart Home Speakers: Study of User Acceptance Factors

2022 | Americas Conference on Information Systems | Citations: 0

Authors: Filippova-Karlusch, Evgeniia; Summer, Jakob

Abstract: Smart speakers have entered the market in recent years and have already been ad ... Expand

Abstract: Smart speakers have entered the market in recent years and have already been adopted by certain parts of the population. Although several studies have previously tried to explain some aspects of smart speaker adoption, there is still no common understanding in the literature about the crucial factors affecting their acceptance. Building on an extensive analysis of innovation adoption theories with a special focus on studies of voice-controlled technologies, the authors cover this research gap by constructing a research model for user acceptance factors of smart speakers and testing it empirically within a sample of current non-adopters in Germany. The results show that enjoyment, privacy concerns, usefulness and social influence may significantly predict the intention to use smart speakers. Moreover, system quality and complementarity of smart speakers with various apps and services are predictors of perceived usefulness. Collapse

Topics: smart speaker perceived usefulness usage intention perceived ease of use information privacy concern

Methods: survey regression analysis method literature study F-test descriptive statistic

Theories: TAM3 extended unified theory of acceptance and use of technology unified theory of acceptance and use of technology TAM2 technology acceptance theory

Giving and Following Recommendations on Video-on-Demand Services

2022 | HICSS | Citations: 0

Authors: Gutzeit, Jennifer; Dorsch, Isabelle; Stock, Wolfgang

Abstract: This is an empirical paper about giving, receiving, and following recommendation ... Expand

Abstract: This is an empirical paper about giving, receiving, and following recommendations on Video-on-Demand (VoD) services, including results on gender-specific differences. Based upon a model for information behavior on VoD services, we applied an online survey and generated 1,258 valid questionnaires from active VoD users. Participants receive recommendations from the systems once a week on average, but they follow them only occasionally. They give actively recommendations to other people several times a month. Users do not receive recommendations from other sources as often as from the services (only several times a month); however, they follow those recommendations more often. The most important source for receiving recommendations from other sources is faceto-face communication. Obviously, VoD users follow recommendations from other people more than suggestions from algorithmically generated recommender systems. Besides, self-determined content selection following intrinsic motivation is important. The findings are of interest for research on digital and social media and for VoD services. Collapse

Topics: digital service video streaming service social media intrinsic motivation Netflix

Methods: survey nonparametric test Mann Whitney U test descriptive statistic computational algorithm

AI invading the workplace: negative emotions towards the organizational use of personal virtual assistants

2022 | Electronic Markets | Citations: 1

Authors: Hornung, Olivia; Smolnik, Stefan

Abstract: Personal virtual assistants (PVAs) based on artificial intelligence are frequent ... Expand

Abstract: Personal virtual assistants (PVAs) based on artificial intelligence are frequently used in private contexts but have yet to find their way into the workplace. Regardless of their potential value for organizations, the relentless implementation of PVAs at the workplace is likely to run into employee resistance. To understand what motivates such resistance, it is necessary to investigate the primary motivators of human behavior, namely emotions. This paper uncovers emotions related to organizational PVA use, primarily focusing on threat emotions. To achieve our goal, we conducted an in-depth qualitative study, collecting data from 45 employees in focus-group discussions and individual interviews. We identified and categorized emotions according to the framework for classifying emotions Beaudry and Pinsonneault (2010) designed. Our results show that loss emotions, such as dissatisfaction and frustration, as well as deterrence emotions, such as fear and worry, constitute valuable cornerstones for the boundaries of organizational PVA use. Collapse

Topics: artificial intelligence privacy telephone video conference

Methods: qualitative interview focus group qualitative coding group interview cross sectional research

Theories: appraisal theory

Exploring the personalization-intrusiveness-intention framework to evaluate the effects of personalization in social media

2022 | International Journal of Information Management | Citations: 0

Authors: Lee, Jungwoo; Kim, Cheong; Lee, Kun Chang

Abstract: Personalization is prevalent in modern social media marketing strategies. Howeve ... Expand

Abstract: Personalization is prevalent in modern social media marketing strategies. However, the users of social media services may perceive that personalized content is intrusive. These two components may influence consumers’ purchase intention in social media personalization campaigns. Thus, this positivism empirical research proposes a theoretical framework named PI2 using the personalization-intrusiveness-intention, as well as a success mea­ surement based upon privacy calculus theory for effective social media personalization campaigns. Further, we investigated digital mnemonics’ potential influences with emotion as social information theory and different degrees of product involvement together with the model. Based upon the analysis of a total of 800 social media users, the results indicated that personalization positively affected but intrusiveness negatively affected the purchase intention. Furthermore, personalization significantly affected purchase intention through intrusiveness and the interaction of personalization with digital mnemonics negatively influenced consumers’ purchase intention on high involvement ads. In the post-hoc analysis, the moderating effect of users’ demographic vari­ ables was found to have some influence on the PI2 framework. The findings of this research provide theoretical and managerial implications for researchers and field practitioners in social media personalization. Collapse

Topics: usability personalization social media marketing management advertising management

Methods: survey partial least squares regression factor analysis regression analysis method post-hoc analysis

Theories: privacy calculus theory information theory technology acceptance model