Alexa is the New Influencer: An Empirical Study Based on a Relational View

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Bawack, Ransome; Bonhoure, Emilie; MALLEK, Sabrine

Abstract: This paper explores the potential of voice assistants (VAs) as influencers and ... Expand

Abstract: This paper explores the potential of voice assistants (VAs) as influencers and their ability to replace or complement human influencers. VAs are increasingly popular tools for marketing and advertising, providing access to a wide range of information services. VA recommendations have been found to be more effective than consumer reviews in changing consumer behavior when perceived as credible and useful. Nevertheless, existing research has not explored the full potential of VAs in influencing consumer behavior beyond these factors. This paper identifies relevant behavioral factors that affect consumers' decisions to follow VA recommendations. An empirical study of 510 participants revealed that parasocial relationships, peer influence, self-image congruence, and interpersonal attraction positively affect consumers' decisions to follow product purchase recommendations by VAs. The findings extend our understanding of consumers' behavior towards VAs and provide theoretical and practical implications for marketing and information systems research. Collapse

Topics: marketing management conversational agent missing data usage intention

Methods: survey regression analysis method computational algorithm multiple linear regression PLS tool

Influencer is the New Recommender: insights for Theorising Social Recommender Systems

2023 | Information Systems Frontiers | Citations: 0

Authors: Bawack, Ransome Epie; Bonhoure, Emilie

Abstract: Designing theory-driven social recommender systems (SRSs) has been a significant ... Expand

Abstract: Designing theory-driven social recommender systems (SRSs) has been a significant research challenge for over a decade. This study aims to identify behavioural factors that could improve the persuasiveness and quality of recommendations made by SRSs. Given both research streams’ striking similarity, it uses the recent yet rich research on social media influencers (SMI) to inform SRS research. Drawing on 72 publications, we classified 52 independent variables into 12 categories regrouped into three broad categories that characterise the relationships between the consumer and the (i) recommender system, (ii) product or brand, and (iii) and advert. The metanalysis results determined the relative importance of each category in predicting purchase intentions, placing recommender credibility and attitude towards the recommended product or brand at the top of the charts. Our findings are expected to facilitate more refined theory-building efforts and theory-driven designs in SRS research and practice. Collapse

Topics: advertising management database system Twitter TikTok IS discipline

Methods: literature study theory development computational algorithm descriptive statistic sensitivity analysis

Theories: social learning theory behavioral theory theory of planned behavior

Smart Mobility Meets Industry: Enhancing Energy Flexibility Potentials by Combining Industrial Production & Electric Vehicle Charging

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Bayer, David; Bollenbach, Jessica; Lersch, Jonathan; Rusche, Simon; Weibelzahl, Martin

Abstract: The increasing share of renewable energy sources poses the challenge of volatil ... Expand

Abstract: The increasing share of renewable energy sources poses the challenge of volatile energy generation, requiring demand side management (DSM) to manage such volatility. In view of the high industrial electricity demand and the increasing charging demand of electric vehicles (EVs), both industry and mobility represent relevant areas of DSM. However, the combination of EV charging and energy-intensive industrial processes still contains untapped synergy potentials. Thus, we present a mixed-integer linear program and quantify the economic and ecologic potential of combining energy flexibilities of industry and electric mobility within a case study. For our evaluation, we compare the results of our model to a benchmark case that separately manages industry and EV flexibilities. Our findings suggest that implementing our approach would yield both economic and ecological benefits, resulting in a reduction in anticipated costs and emissions, as well as a decrease in associated uncertainty. KeywordsEnergy-flexible Factory, Vehicle-to-Factory, Electric Vehicle Charging, Mixed-Integer Linear Programming Additionally, the increasing use of electric vehicles (EVs) raises concerns that the existing distribution networks may become strained beyond their capacity (Godina et al., 2016). These concerns are due to Smart Mobility Meets Industry Collapse

Topics: decision making manufacturing information system

Methods: simulation case study optimization model integer linear programming dynamic programming

Consumer Participation in Virtual Product Design: 2D vs 3D Product Configurators

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Armeen, Inaiya; Niswanger, Ross; walden, eric

Abstract: The purpose of the proposed study is to investigate the effect of configurator ... Expand

Abstract: The purpose of the proposed study is to investigate the effect of configurator properties, such as the type of visualization and interaction offered, on the value that consumers attach to co-created products and the satisfaction they derive from the design process. To do this, this study will compare 2D product configurators with 3D product configurators. 2D product configurators use a series of images for product visualization whereas 3D configurators use 3D models that provide consumers with the ability to rotate objects in three dimensions. Drawing from the theory of cognitive dissonance, the theory of effectance motivation and the behavioral decision-making literature, this paper suggests that configurator properties influence perceptions of control and effort expenditure which in turn elicit various processes that influence the perceived value of co-created products and consumers' satisfaction with the design process. Collapse

Topics: decision making new product development participatory design

Methods: design process design methodology laboratory experiment

Theories: endowment effect cognitive dissonance theory

Digital Transformation: From Traditional IS Theories to Emerging Assemblage

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Aryal, arun; AMRANI, REDOUANE EL; Wu, Crystal

Abstract: Digital transformation (DT) is a complex and dynamic phenomenon that requires a ... Expand

Abstract: Digital transformation (DT) is a complex and dynamic phenomenon that requires a significant shift in organizational culture and mindset, necessitating new theoretical perspectives to understand the interactions between technology and people. This article conducts a critical literature review of the extant literature on DT, contrasting traditional Information Systems (IS) theories with assemblage theory. Assemblage theory provides a dynamic framework to analyze the various components of DT and their interactions, acknowledging the significance of power dynamics and politics in shaping the direction and outcomes of DT initiatives. This paper provides different theoretical perspectives in digital transformation literature by analyzing 70 articles published in premier IS journals. This article is helpful for scholars and practitioners interested in understanding the complexities of DT through assemblage theory perspectives. Collapse

Topics: digital transformation database system diffusion of innovation innovation management

Methods: literature study literature sample qualitative coding cross sectional research theory development

Theories: information systems theory institutional theory dynamic capabilities theory diffusion of innovations theory knowledge management theory

The Type to Listen to the Machine? The Effect of Personality on the Use of AI Advice

2023 | International Conference on Business Informatics | Citations: 0

Authors: Asbach, Simon; Graf-Vlachy, Lorenz; Fügener, Andreas

Abstract: ... Expand

Abstract: Collapse

Topics: artificial intelligence personality personalization usability

Methods: regression analysis method survey moderation analysis general multivariate regression model

Theories: big five model personality theory

Towards a domain-driven distributed reference architecture for big data systems

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Ataei, Pouya; Litchfield, Alan

Abstract: The proliferation of digital devices, rapid development of software and the inf ... Expand

Abstract: The proliferation of digital devices, rapid development of software and the infrastructure of today, have augmented user's capability to produce data at an unprecedented rate. The accelerated growth of data could be called the era of big data and forced a paradigm shift in data engineering because the variety, velocity and volume of data overwhelmed existing systems. While companies attempt to extract benefit from big data, success rates are still low. Challenges such as rapid changes in technology, organizational culture, complexity in data engineering, impediments to system development, and a lack of effective big data architectures mean that only an estimated 20% of companies achieved their goals. To this end, this study explores a domain-driven distributed big data reference architecture that addresses issues in data architecture, data engineering, and system development. This reference architecture is empirically grounded and evaluated through deployment in a real-world scenario as an instantiated prototype, solving a problem in practice. The results of the evaluation demonstrate utility and applicability but with architectural trade-offs and challenges. Collapse

Topics: software as a service cloud computing data lake systems development big data

Methods: design artifact simulation data modeling design science structured literature research

Public Opinion and Impression Management in the Communication of Performance During the Second Iraq War

2023 | Organization Science | Citations: 0

Authors: Audia, Pino G.; Rousseau, Horacio E.; Stimmler, Mary Kate

Abstract: Although studies show that organizations engaged in controversial actions often ... Expand

Abstract: Although studies show that organizations engaged in controversial actions often aim to minimize the release of threatening information, scholars know relatively little about what may prompt organizations to increase transparency in these situations. In this study, we focus on support from public opinion as a condition that may influence the disclosure of sensitive performance information to the public. Using the second Iraq War as an empirical context, we focus on the extent to which public officials—Pentagon spokespersons—release and frame information about war performance. This outcome is critical because the way in which organizations communicate their performance to outsiders has often been regarded as a key defensive impression management tactic. We hypothesize that high public support for the war will increase the likelihood that Pentagon officials release information about sensitive combat performance indicators in their press briefings and identify contingencies, such as adversity and organizational spokespersons’ power, that moderate this relationship. We also explore whether high public support decreases the strategic use of alternate performance frames that emphasize metrics that signal progress toward a desirable end state. Using a unique data set based on the coding of press briefings, public opinion data, and other public sources, we find support for several of our hypotheses. We discuss implications for understanding the relationship between public opinion and impression management and highlight the importance of extending this research to nongovernmental organizations. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2022.1598. Collapse

Topics: armed conflict organization structure website database system terrorist incident

Methods: logistic regression descriptive statistic statistical hypothesis test regression analysis method theory development

Theories: accountability theory

Examining the Use of Blockchain Technology in Virtual Worlds: A Socio-Technical Systems Perspective

2023 | HICSS | Citations: 0

Authors: Augustin, Nils; Durani, Khalid; Kollmer, Tim; Eckhardt, Andreas

Abstract: Recent developments, including the rebranding of Facebook to Meta, have led to l ... Expand

Abstract: Recent developments, including the rebranding of Facebook to Meta, have led to large-scale media attention on the phenomenon of the Metaverse. Although not being a new phenomenon in Information Systems (IS) research, many intricacies in virtual worlds remain unexplored. In particular , prior research has directed attention to users‘ lack of ownership rights, creating tension between the creator and user. To solve this tension, we argue that blockchain technology can potentially help to structure ownership rights. Therefore, our research explores a blockchain-based Metaverse through the socio-technical system lens. Our study highlights that, in the underlying case, the use of blockchain technology goes beyond the application of Non- Fungible Tokens (NFTs) and can also be found in the general organizational structure, blurring the boundaries of existing stakeholders. Our work contributes to research by providing a gaze into blockchain-based Metaverses and highlighting the potential application and benefit of the technology in virtual worlds. Collapse

Topics: blockchain virtual reality virtual world organization structure non-fungible token

Methods: case study single case study

Theories: socio technical theory sociotechnical systems theory

Barriers to the development of data-driven services: An ISM approach for SMEs

2023 | HICSS | Citations: 0

Authors: Azkan, C.; Strobel, G.; Iggena, L.; Gelhaar, J.; Kreyenborg, A.

Abstract: Data is nowadays considered as a key resource and represents the most valuable ... Expand

Abstract: Data is nowadays considered as a key resource and represents the most valuable asset of our technology-driven world. However, the ability to use this resource in a value-adding way requires a holistic perspective. Small-and medium-sized enterprises in particular face major challenges in the innovation and development process. Despite preliminary research in the area of data-driven services (DDS), there is a lack of methodological analysis of the key barriers for SMEs in the context of DDS development. To address this shortcoming, we have developed an interpretive structural model based on a two-stage mixed-method approach by combining a structured literature review with practice-oriented focus group interviews to identify key barriers and their interdependencies and interactions. Our paper strengthens the knowledge of DDS development through a methodological barrier analysis and provides a guide for practitioners to eliminate the most relevant barriers to DDS development. Collapse

Topics: database system

Methods: focus group structured literature research literature study mixed method qualitative interview