Chatbot commerce—How contextual factors affect Chatbot effectiveness

2023 | Electronic Markets | Citations: 0

Authors: Hsu, Pei-Fang; Nguyen, Tuan (Kellan); Wang, Chen-Ya; Huang, Pei-Ju

Abstract: The emergence of Chatbots has attracted many firms to sell their merchandise via ... Expand

Abstract: The emergence of Chatbots has attracted many firms to sell their merchandise via chats and bots. Although Chatbots have received tremendous interest, little is understood about how different usage contexts affect Chatbots’ effectiveness in mobile commerce. Due to differences in their nature, not all shopping contexts are suitable for Chatbots. To address this research gap, this study examines how contextual factors (i.e., intrinsic task complexity that embraces shopping task attributes and group shopping environment, and extrinsic task complexity that entails information intensity) affect user perceptions and adoption intentions of Chatbots as recommendation agents in mobile commerce. Applying the lenses of cognitive load theory (CLT) and common ground theory (CGT), we perform an experiment and apply quantitative analytical approaches. The results show that Chatbots are more suitable in the context of one-attribute, information-light, and group-buying tasks, whereas traditional Apps are suitable for multi-attribute, information-intensive, and single-buying scenarios. These findings make important theoretical contributions to the IT adoption literature as well as to CLT and CGT theory by contextualizing the evolving state of Chatbot commerce and providing guidelines for designing better Chatbot user experiences, thereby enhancing user perceptions and adoption intentions. Collapse

Topics: mobile application task complexity electronic commerce technology adoption recommender system

Methods: chatbot experiment qualitative interview chi squared test survey

Theories: cognitive load theory

Designing a User-Metaverse Interface for the Industrial-Metaverse

2023 | International Conference on Information Systems | Citations: 0

Authors: Hönemann, Kay; Konopka, Björn; Thatcher, Jason B.; Wiesche, Manuel

Abstract: The Industrial-Metaverse will create interactions between the physical and virt ... Expand

Abstract: The Industrial-Metaverse will create interactions between the physical and virtual worlds to extend operations in the physical industry. This particularity and the demand for increasing immersion in the Metaverse require using XR technologies called User-Metaverse interfaces (UMI). How such a UMI must be designed for the industrial-Metaverse is unknown. This study adopts a design science approach to design a UMI based on social-cognitive theory (SCT). According to SCT, creating user-generated Metaverse content is crucial to the UMI design. It empowers users to generate content through their efforts, leading to higher self-efficacy and user engagement. We formulate two theoretically based design principles and instantiate a software artifact, which we evaluate in a laboratory experiment with 57 participants. Our study shows the importance of belief in success in the design of future UMI. Furthermore, our design principles show significant positive outcome expectations of users in their interaction with the software artifact. Collapse

Topics: virtual reality self efficacy perceived usefulness task productivity digital twin

Methods: design principle design artifact laboratory experiment design science experiment

Theories: social cognitive theory

A Taxonomy of SETA Methods and Linkage to Delivery Preferences

2023 | ACM SIGMIS Database | Citations: 0

Authors: Kävrestad, Joakim; Nohlberg, Marcus; Furnell, Steven

Abstract: Cybersecurity threats targeting users are common in today's information systems. ... Expand

Abstract: Cybersecurity threats targeting users are common in today's information systems. Threat actors exploit human behavior to gain unauthorized access to systems and data. The common suggestion for addressing this problem is to train users to behave better using SETA programs. The notion of training users is old, and several SETA methods are described in scientific literature. Yet, incidents stemming from insecure user behavior continue to happen and are reported as one of the most common types of incidents. Researchers argue that empirically proven SETA programs are needed and point out focus on knowledge rather than behavior, along with poor user adoption, as problems with existing programs. The present study aims to research user preferences regarding SETA methods, with the motivation that a user is more likely to adopt a program perceived positively. A qualitative approach is used to identify existing SETA methods, and a quantitative approach is used to measure user preferences regarding SETA delivery. We show that users prefer SETA methods to be effortless and flexible and outline how existing methods meet that preference. The results outline how SETA methods respond to user preferences and how different SETA methods can be implemented to maximize user perception, thereby supporting user adoption. Collapse

Topics: IT workforce IT security online learning system database system usage intention

Methods: survey literature sample simulation structured literature research literature study

Theories: technology acceptance model

Between Hype, Hope, and Reality: A Lifecycle-Driven Perspective on Non-Fungible Token

2023 | European Conference On Information Systems | Citations: 0

Authors: Kölbel, Tobias; Joussen, Katrin; Weinhardt, Christof

Abstract: Advocates consider NFTs a potentially disruptive blockchain-enabled innovation. ... Expand

Abstract: Advocates consider NFTs a potentially disruptive blockchain-enabled innovation. In light of surging popularity and low theoretical insights, we study NFTs from a lifecycle-driven perspective. We develop a taxonomy that adheres to a habitual method and draws on a five-step process of analyzing literature and real-world projects. Our taxonomy contributes to descriptive knowledge by structuring NFTs with 20 dimensions and 77 characteristics along the perspectives of origination, distribution, transfer, trade, and redeem. We enable researchers and practitioners to grasp the NFT phenomenon in a structured manner and demonstrate the applicability of our taxonomy through expert interviews and case studies. Collapse

Topics: database system blockchain non-fungible token social network virtual reality

Methods: qualitative interview literature study theory development mixed method personal interview

Use of Natural Language Processing Techniques in the Construct and Instrument Development Process

2023 | European Conference On Information Systems | Citations: 0

Authors: Larsen, Kai; Sharma, Rajeev; Queiroz, Magno; Arnulf, Jan; Pillet, Jean-Charles

Abstract: The construct and instrument development process relies significantly on human ... Expand

Abstract: The construct and instrument development process relies significantly on human judgment in the initial stages of the process, specifically in developing construct definition statements, and in developing measurement instruments with high content validity. Natural language processing (NLP) techniques can be used to support human judgment and improve the quality of constructs and instruments employed in research. This paper describes the use of NLP techniques in the construct and instrument development process and presents illustrative results from the use of those techniques. We develop an NLP-based algorithm and illustrate its use to assess measurement instruments. The data used to train the algorithm was 37 years of constructs published in premier IS journals during the period of 1980-2016. The empirical illustrations support our premise that the use of NLP techniques can improve the rigor of the process and improve the quality of constructs and instruments employed in research. Collapse

Topics: website ease of use application programming interface perceived usefulness perceived ease of use

Methods: natural language processing survey design computational algorithm machine learning survey

Analysis templates for identifying improvement opportunities with process mining

2023 | European Conference On Information Systems | Citations: 0

Authors: Lashkevich, Katsiaryna; Milani, Fredrik; Danylyshyn, Nadiia

Abstract: ... Expand

Abstract: Collapse

Topics: process mining ease of use perceived usefulness business process management perceived ease of use

Methods: event log qualitative interview survey qualitative content analysis personal interview

Theories: technology acceptance model

EXPLORING THREAT-SPECIFIC PRIVACY ASSURANCES IN THE CONTEXT OF CONNECTED VEHICLE APPLICATIONS

2023 | European Conference On Information Systems | Citations: 0

Authors: Lechte, Henrik; Menck, Jannes; Stocker, Alexander; Lembcke, Tim-Benjamin; Kolbe, Lutz

Abstract: Connected vehicles enable a wide range of use cases, often facilitated by smart ... Expand

Abstract: Connected vehicles enable a wide range of use cases, often facilitated by smartphone apps and involving extensive processing of driving-related data. Since sensitive information about actual driving behavior or even daily routines can be derived from this data, the issue of privacy arises. We explore the impact of short privacy assurance statements on user perceptions by considering two data-intensive cases, usage-based insurance, and traffic hazard warnings. We conducted two experimental comparisons to investigate whether and how privacy-related perceptions about vehicle data sharing can be altered by different text-based privacy assurances on fictional app store pages. Our results are largely inconclusive, and we found no clear evidence that such short statements can significantly alter privacy concerns and increase download intentions. Furthermore, our results suggest that general and threatspecific privacy assurance statements likely yield no or little benefits to connected vehicle app providers regarding user perceptions. Collapse

Topics: privacy mobile application information privacy concern digital distribution mobile application market

Methods: survey experiment parametric test nonparametric test one-way ANOVA

Theories: protection motivation theory privacy calculus theory

Towards a model of social commerce: improving the effectiveness of e-commerce through leveraging social media tools based on consumers’ dual roles

2023 | European Journal of Information Systems | Citations: 0

Authors: Lin, Xiaolin; Wang, Xuequn

Abstract: Social media has been integrated into traditional e-commerce, creating an innova ... Expand

Abstract: Social media has been integrated into traditional e-commerce, creating an innovative technology-based approach to changing business practice and service, yet few researchers have attempted to provide an understanding of how this approach is changing consumer decision-making and purchase behaviours. Combining the expectation-confirmation theory and the expectation-confirmation model and information systems continuance, we propose a model for social commerce, illustrating how social media is utilised in online shopping as a three-fold process (pre-purchase, purchase, and post-purchase stages) from a consumer perspective. The model consists of three phases: social commerce motivation, social commerce adoption, and e-commerce effectiveness. Using two rounds of surveys, we find that (1) autonomous motivation and controlled motivation have positive effects on social commerce information seeking and sharing, and (2) social commerce information seeking formulates consumers’ pre-purchase decisions, thus affecting their actual purchase outcomes, repurchase intentions, and social commerce information-sharing intentions in the post-purchase stage. In addition, our study indicates that consumers may play dual roles in social commerce: as information seekers in the pre-purchase stage and as information providers in the post-purchase stage. Our findings have important implications for literature and practice. Collapse

Topics: social commerce electronic commerce social media information exchange consumer behavior

Methods: survey partial least squares regression theory development conceptual modelling survey design

Theories: expectation confirmation theory self determination theory

Human-Computer Negotiations: A Systematic Evaluation of the Effects of Timespan, Tactic, and Search Mechanism

2023 | HICSS | Citations: 0

Authors: Liu, Yushan; Vahidov, Rustam; Saade, Raafat

Abstract: Artificial Intelligence and Computer Agents are having a substantial impact on o ... Expand

Abstract: Artificial Intelligence and Computer Agents are having a substantial impact on our everyday lives. The current paper focuses on the prospects of humans negotiating with computer agents in e-commerce settings. We conducted experiments where the subjects negotiated the purchase of mobile plans with computer agents acting as sellers. Three time-based negotiation tactics and two search mechanisms were employed in synchronous vs. asynchronous sessions. The results suggest that computer agents’ negotiation tactics and search mechanisms have significant effects on both the subjective and objective outcomes of the negotiations, while timespan has marginal effects on the agreement rate of the negotiation. Collapse

Topics: perceived usefulness negotiation support system usage intention missing data behavioral intention

Methods: survey experiment structural equation modeling discriminant analysis data transformation

Theories: technology acceptance model

Leveraging paradigms to foster theoretical contributions in information systems research

2023 | Journal of Information Technology | Citations: 0

Authors: Marchildon, Philippe; Hadaya, Pierre

Abstract: Despite all our theorizing efforts and the importance that we and our major info ... Expand

Abstract: Despite all our theorizing efforts and the importance that we and our major information systems (IS) journals ascribe to theory development, making theoretical contributions to our field remains challenging. Recognizing that we cannot develop better theories without improving how we theorize, our field is now engaged in an in-depth discussion of the theorizing process. This manuscript contributes to this discussion by exposing why and how leveraging paradigms when theorizing can foster theoretical contributions within our field. Its premise is that we need to stop working within the confines of a limited set of well-entrenched paradigms and move beyond what is known as true and correct to come up with improvements that significantly alter the way we come to rationalize, explain, and master our world. Anchored on this premise, this manuscript begins by discussing the origin, role, and features of paradigms as well as explaining that they are of three different but interrelated forms (i.e., metaphysical, sociological, and artefactual). The manuscript then adds to this understanding of paradigms by detailing the unique relationships that tie paradigms of each form to theory and explaining why taking advantage of these unique bonds when theorizing may help us make theoretical contributions. Lastly, to foster theoretical contributions within our field, this manuscript proposes a set of guidelines to help us leverage paradigms of the different forms when theorizing. Collapse

Topics: reference discipline technology adoption media richness systems development information system use

Methods: theory development theoretical contribution design artifact

Theories: technology acceptance model adaptive structuration theory technology acceptance theory structuration theory media richness theory