What’s the Harm in Waiting? Examining disfluency from system response time in decision tasks with conversational agents

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Duron, Edgar; Ray, Soumya; Hsia, Po Jen

Abstract: Using conversational agents as decision-support tools brings together an intere ... Expand

Abstract: Using conversational agents as decision-support tools brings together an interesting mix of theoretical lenses. On the one hand, user experiences with agents must still conform to characteristics of fluent use as any interactive system. But at the same time, the more human-like nature of back-and-forth discourse, instead of static graphical interfaces, provides users with social cues that they must then contend with. This study demonstrates how users facing disfluency, such as goal-oriented decision-making with large choice sets, can aid themselves with filters as a tool to reach the end of their task. It also demonstrates how a slowed system response (a social cue) will have a negative effect in disfluent situations where users are trying to regain confidence. A slowed system response time discourages users from using filters leaving them making a suboptimal decision. This study shows how decision fluency and social cues have interesting interactions in their effect on users performing tasks with conversational agents. Collapse

Topics: conversational agent decision making application programming interface Facebook Messenger social media

Methods: chatbot experiment regression analysis method factorial experiment descriptive statistic

Theories: social response theory

How Sociotechnical Realignment and Sentiments Concerning Remote Work are Related – Insights from the COVID-19 Pandemic

2023 | Business & Information Systems Engineering | Citations: 0

Authors: Kohn, Vanessa; Frank, Muriel; Holten, Roland

Abstract: The COVID-19 pandemic forced sociotechnical systems (STS) to highly integrate re ... Expand

Abstract: The COVID-19 pandemic forced sociotechnical systems (STS) to highly integrate remote work. Large-scale analyses show that the positivity of tweets about work from home decreased until COVID-19 was declared a pandemic by the WHO and re-increased in the weeks that followed. Nevertheless, it is unclear if this reaction is due to personal and organizational developments or if it mirrors the realignment of entire STS. The present study uses Q methodology to identify differences in how STS realign to the externally enforced integration of remote work. Only STS that reach a state of high alignment to remote work conditions by successfully shifting communication and procedures to digital spheres can be considered resilient. The results show that employees describe their personal experiences with remote work as more positive the higher their level of sociotechnical realignment. Furthermore, personal digital resilience is correlated to successful STS realignment as well. The results confirm the importance of realigning not only the technical and social components of STS but above all their sociotechnical interaction. Negative sentiments relate in particular to the low realization of humanistic objectives in STS. Collapse

Topics: remote work IT supported collaboration pandemic productivity privacy

Methods: sentiment analysis Q methodology qualitative interview linear regression analysis Mann Whitney U test

Theories: sociotechnical systems theory socio technical theory

That's interesting: An examination of interest theory and self-determination in organisational cybersecurity training

2022 | Information Systems Journal | Citations: 0

Authors: Kam, Hwee-Joo; Ormond, Dustin K.; Menard, Philip; Crossler, Robert E.

Abstract: With government and industry experiencing a critical shortage of trained cyberse ... Expand

Abstract: With government and industry experiencing a critical shortage of trained cybersecurity professionals, organisations are spearheading various training programs to cultivate cybersecurity skills. With more people working from home and the existing cybersecurity staff shortages, cybercriminals are increasingly exploiting new and existing vulnerabilities by launching ubiquitous cyberattacks. This study focuses on how to close the gap in cybersecurity skills through interest cultivation and self-determined motivation. Our study shows that situational interest (SI) in cybersecurity along with situational motivational determinants (i.e., perceived learning autonomy and perceived relatedness) engendered self-determined motivation toward cybersecurity training. Consequently, self-determined motivation facilitated actual learning behaviour. Meanwhile, individual interest in cybersecurity created positive moderating effects in the relationships between self-determination and its key antecedents (i.e., perceived relatedness and situational interest). Based on these findings, we provide research implications accordingly. Collapse

Topics: IT security online learning system intrinsic motivation privacy smartphone

Methods: survey data transformation partial least squares path modeling structural equation modeling experiment

Theories: self determination theory

Animation as a dynamic visualization technique for improving process model comprehension

2021 | Information & Management | Citations: 2

Authors: Aysolmaz, Banu; Reijers, Hajo A.

Abstract: Process models are widely used for various system analysis and design activities ... Expand

Abstract: Process models are widely used for various system analysis and design activities, but it is challenging for stakeholders to understand these complex artifacts. In this work, we focus on the use of dynamic visualization techniques, in particular animation, to help reduce users’ cognitive load when making sense of process models. We built on the principles of the cognitive theory of multimedia learning, cognitive load theory, and cognitive dimensions framework to develop an adaptive animation solution. Our experiments suggested that process model comprehension improves when users of process models are provided with animation features; the effect is moderated by process modeling expertise according to a U-shape. Our study contributes to the field of conceptual modeling by making a strong case for the use of animation to support complex problem-solving tasks. Moreover, our animation solution offers ample opportunities for being integrated into industrial modeling tools. Collapse

Topics: problem solving perceived usefulness online learning system PHP website

Methods: business process modeling experiment conceptual modelling descriptive statistic chi squared test

Theories: cognitive load theory cognitive theory of multimedia learning cognitive fit theory

Consumers Choice? Fostering Sustainability in Grocery Deliveries Through Digital Nudging

2021 | European Conference On Information Systems | Citations: 0

Authors: Auf der Landwehr, Marvin; Trott, Maik; Viebahn, Christoph von

Abstract: Individuals are increasingly confronted with transactions and decisions in digi ... Expand

Abstract: Individuals are increasingly confronted with transactions and decisions in digital environments. This shift in consumption behaviour and context has a high potential to influence operational business processes in various fields such as the grocery retail industry and contribute towards more sustainable operations across different levels. Accordingly, organizations need to identify opportunities to actively influence the purchase behaviour of consumers in line with social, economic and ecological objectives. Therefore, based on a threefold research approach, we develop and test several digital nudges to influence customer decision-making in the context of online grocery sustainability. First, digital nudge principles and instantiations are deduced from theory, before we develop several digital nudges and test their perception effectiveness by means of an eye-tracking experiment. Finally, the most effective nudge designs are employed in a sophisticated online-experiment, empirically indicating the significant value of hyperbolic discounting and anchoring for influencing e-grocery delivery preferences. Collapse

Topics: social norm logistics management electronic commerce systems design decision making

Methods: experiment experimental group oculometry literature study parametric test

Theories: loss aversion

Exploring the Determinants of Intention to Use P2P Mobile Payment in Spain

2021 | Information Systems Management | Citations: 0

Authors: Liébana-Cabanillas, Francisco; Molinillo, Sebastian; Japutra, Arnold

Abstract: Peer-to-peer (P2P) mobile payment is a mobile banking service with major growth ... Expand

Abstract: Peer-to-peer (P2P) mobile payment is a mobile banking service with major growth potential. We contribute to the body of knowledge on technology adoption by proposing a conceptual model based on the theory of reasoned action, extended with additional mobile payment constructs identified in the literature review. The results show that usefulness, subjective norms, and personal innovativeness have a particularly strong, direct influence on intention to use. Collapse

Topics: usage intention electronic payment technology adoption perceived usefulness smartphone

Methods: survey literature study partial least squares regression descriptive statistic PLS tool

Theories: technology acceptance model theory of reasoned action unified theory of acceptance and use of technology technology acceptance theory

More Is Not Necessarily Better: An Absorptive Capacity Perspective on Network Effects in Open Source Software Development Communities

2020 | Management Information Systems Quarterly | Citations: 0

Authors: Tanya (Ya) Tang; Eric (Er) Fang; Qualls, William J.

Abstract: Previous research has predominantly taken a social network perspective suggestin ... Expand

Abstract: Previous research has predominantly taken a social network perspective suggesting that building more network connections or becoming deeply embedded in a network provides a better position to access network knowledge in open source software communities.This perspective implicitly assumes that accessed network knowledge automatically gets absorbed and transferred to projects, so that building more and deeper network connections is beneficial: Drawing from an absorptive capacity perspective, this research challenges such conventional wisdom, arguing instead that the benefits depend on a project’s absorptive capacity. Network connections provide access to external knowledge in the community; the absorption and transfer of this new knowledge require appropriate internal knowledge and developer roles. With longitudinal data collected from 4,518 open source software development projects hosted at SourceForge, the authors show that knowledge breadth (depth) helps with the absorption of external knowledge achieved from network depth (breadth), but it inhibits the absorption of external knowledge obtained from network breadth (depth). Further, developer roles (e.g., bridge members, role diversity) can mitigate the negative consequences of suboptimal combinations and facilitate effective transfers of absorbed external knowledge across and within projects. These findings provide important theoretical and managerial implications formanaging network connections, knowledge, and developer roles in open source software communities. Collapse

Topics: knowledge creation absorptive capacity knowledge sharing network effect social network

Methods: longitudinal research robustness check simulation descriptive statistic ordinary least square

Theories: absorptive capacity theory

Effects of the design of mobile security notifications and mobile app usability on users’ security perceptions and continued use intention

2020 | Information & Management | Citations: 0

Authors: Wu, Dezhi; Moody, Gregory D.; Zhang, Jun; Lowry, Paul Benjamin

Abstract: The explosive global adoption of mobile applications (i.e., apps) has been fraug ... Expand

Abstract: The explosive global adoption of mobile applications (i.e., apps) has been fraught with security and privacy issues. App users typically have a poor understanding of information security; worse, they routinely ignore security notifications designed to increase security on apps. By considering both mobile app interface usability and mobile security notification (MSN) design, we investigate how security perceptions of apps are formed and how these perceptions influence users’ intentions to continue using apps. Accordingly, we designed and conducted a set of controlled survey experiments with 317 participants in different MSN interface scenarios by manipulating the types of MSN interfaces (i.e., high vs. low disruption), the context (hedonic vs. utilitarian scenarios), and the degree of MSN intrusiveness (high vs. low intrusiveness). We found that both app interface usability and the design of MSNs significantly impacted users’ perceived security, which, in turn, has a positive influence on users’ intention to continue using the app. In addition, we identified an important conundrum: disruptive MSNs—a common approach to delivering MSNs—irritate users and negatively influence their perceptions of app security. Thus, our results directly challenge current practice. If these results hold, current practice should shift away from MSNs that interrupt task performance. Collapse

Topics: mobile application usability user interface usage intention mobile system

Methods: experiment chi squared test survey SEM tool experimental group

Theories: technology acceptance model theory of task technology fit

How Digital Nudges Affect Consideration Set Size and Perceived Cognitive Effort in Idea Convergence of Open Innovation Contests

2019 | HICSS | Citations: 1

Authors: Boskovic-Pavkovic, Ivan; Seeber, Isabella; Maier, Ronald

Abstract: Open innovation initiatives are useful to acquire many ideas, but often face pro ... Expand

Abstract: Open innovation initiatives are useful to acquire many ideas, but often face problems when it comes to selecting the best ideas. Idea convergence has been suggested as a first step in idea selection to filter those ideas that are worthy of further consideration. Digital nudges – digital interventions that aim at altering human behavior in a predictable way - could support convergence. However, their effects are largely unknown. This study explores how two digital nudges, selection strategy (inclusion/exclusion) and idea subset similarity (similar/random), affect the convergence outcomes consideration set size and perceived cognitive effort. We conducted a laboratory experiment with 88 students and found that guiding individuals towards an inclusion strategy results in smaller consideration sets and higher perceived cognitive effort. Moreover, presenting individuals with subsets of similar ideas resulted in smaller consideration sets. These insights are relevant for the design and use of digital nudges for convergence in open innovation environments. Collapse

Topics: knowledge representation decision making open innovation database system crowdsourcing

Methods: computational algorithm experiment experimental group laboratory experiment WordNet

Using big data analytics to study brand authenticity sentiments: The case of Starbucks on Twitter

2019 | International Journal of Information Management | Citations: 1

Authors: Shirdastian, Hamid; Laroche, Michel; Richard, Marie-Odile

Abstract: There is a strong interest among academics and practitioners in studying brandin ... Expand

Abstract: There is a strong interest among academics and practitioners in studying branding issues in the big data era. In this article, we examine the sentiments toward a brand, via brand authenticity, to identify the reasons for positive or negative sentiments on social media. Moreover, in order to increase precision, we investigate sentiment polarity on a five-point scale. From a database containing 2,282,912 English tweets with the keyword ‘Starbucks’, we use a set of 2204 coded tweets both for analyzing brand authenticity and sentiment polarity. First, we examine the tweets qualitatively to gain insights about brand authenticity sentiments. Then we analyze the data quantitatively to establish a framework in which we predict both the brand authenticity dimensions and their sentiment polarity. Through three qualitative studies, we discuss several tweets from the dataset that can be classified under the quality commitment, heritage, uniqueness, and symbolism categories. Using latent semantic analysis (LSA), we extract the common words in each category. We verify the robustness of previous findings with an in-lab experiment. Results from the support vector machine (SVM), as the quantitative research method, illustrate the effectiveness of the proposed procedure of brand authenticity sentiment analysis. It shows high accuracy for both the brand authenticity dimensions’ predictions and their sentiment polarity. We then discuss the theoretical and managerial implications of the studies. Collapse

Topics: Twitter social media database system decision support system information management

Methods: support vector machine sentiment analysis computational algorithm machine learning latent semantic analysis

Theories: marketing theory