A Task-Technology-Identity Fit Model of Smartwatch Utilisation and User Satisfaction: A Hybrid SEM-Neural Network Approach

2023 | Information Systems Frontiers | Citations: 0

Authors: El-Masri, Mazen; Al-Yafi, Karim; Kamal, Muhammad Mustafa

Abstract: Smartwatches are wearable devices intended to be smartphone companions that capt ... Expand

Abstract: Smartwatches are wearable devices intended to be smartphone companions that capture health data and ease access to notifications. They have also become personalisable standing as a fashion statement. This combination resulted in staggering adoption rates recently leading to question whether smartwatch users’ choice and use satisfaction emerge from utility features or from its fashion characteristics. This paper proposes and validates a fit theory to investigate the antecedents of adopters’ satisfaction. Besides evaluating fit with identity, the model assesses both perceived and actual task-technology fit of smartwatches. A questionnaire-based quantitative approach is used to collect data from about 300 smartwatch users in Qatar. To test the proposed model, data is analysed using structural equation modeling (SEM) and artificial neural networks (ANN). Furthermore, ANN sensitivity analysis ranks the importance of the fit factors affecting users’ choice during pre- and post-adoption stages. Both task-technology and technology-identity fit factors are quasi-equally important in explaining 62% of satisfaction variance. ANN analysis revealed that post-adoption satisfaction is primarily attributed to smartwatches’ ability to fit with users’ identity and secondarily to its perceived fit with tasks. Nevertheless, pre-adoption choice of smartwatches is mainly guided by their functionality. This paper is the first to propose and validate an integrated task-technology-identity fit model to explain smartwatch utilization and users’ satisfaction. The originality also lies in assessing actual task-technology fit and as perceived by users. Employing two modes of analysis revealed extra insights too. Collapse

Topics: smart watch mobile system user satisfaction personality smart wearable device

Methods: structural equation modeling data transformation survey factor analysis principal component analysis

Theories: theory of task technology fit unified theory of acceptance and use of technology technology acceptance model

What do growing early-stage digital start-ups look like? A mixed-methods approach

2023 | International Journal of Information Management | Citations: 0

Authors: Griva, Anastasia; Kotsopoulos, Dimosthenis; Karagiannaki, Angeliki; Zamani, Efpraxia D.

Abstract: Digital entrepreneurship is one of the most important and impactful forms of ent ... Expand

Abstract: Digital entrepreneurship is one of the most important and impactful forms of entrepreneurship. However, the majority of digital start-ups fail to scale, despite their potential to achieve growth. Moreover, what constitutes growth is significantly different for start-ups as compared with established firms: they have limited financial performance, and their growth cannot be accurately measured by metrics such as customers, revenues, profits, and turnover at the early stages of the new venture creation process or before the start-up has reached sus­ tainability. Therefore, the first objective of this research is to contribute to the definition of growth by examining less tangible dimensions of growth. Moreover, the second objective is to identify the characteristics of early-stage digital start-ups experiencing growth. Based on a mixed-methods approach, which combines an adapted Delphi study, a questionnaire-based survey, and a comparative case study, our results suggest that growing digital startups exhibit a set of characteristics that include: an agile culture combining clan with adhocracy; the ability to nurture their absorptive, innovative, and adaptive capabilities effectively; and a human capital with adequate entrepreneurial skills, emotional attachment to and fitness with the start-up. Collapse

Topics: digital entrepreneurship human resource management entrepreneurship innovation management absorptive capacity

Methods: survey delphi study mixed method qualitative interview case study

Theories: dynamic capabilities theory

An Integration of Cognitive Absorption and Interruption Overload Through the Lens of Neurodiversity: Some Preliminary Results

2023 | HICSS | Citations: 0

Authors: Jia, Ronnie; Steelman, Zach; Jia, Heather

Abstract: One prominent stream of IS research focuses on cognitive absorption during techn ... Expand

Abstract: One prominent stream of IS research focuses on cognitive absorption during technology use, which generally leads to favorable attitudes toward technology and increased performance. Another stream of IS research has examined outcomes of interruptions, such as interruption overload and decreased work performance. Do these two streams of inquiries, so far virtually independent from each another, in fact examine opposing sides of the same coin? Building on the autism research literature, this study presents a new theoretical model that integrates these two disparate sets of observations as opposing manifestations of one phenomenon, called autistic inertia, to explore impacts of neurodiversity on remote work. A survey is being carried out to empirically test the model. Data that we have collected so far have provided empirical support for the model. Implications for IS research and practice are discussed. Collapse

Topics: cognitive absorption knowledge work crowdsourcing data quality pandemic

Methods: survey statistical hypothesis test descriptive statistic scale reliability experiment

When do details matter? News source evaluation summaries and details against misinformation on social media

2023 | International Journal of Information Management | Citations: 0

Authors: Kim, Antino; Moravec, Patricia L.; Dennis, Alan R.

Abstract: News source evaluations based on fact-checking can help curb the consumption and ... Expand

Abstract: News source evaluations based on fact-checking can help curb the consumption and spread of fake news on social media. Prior research has primarily considered source evaluations with intuitive icons that indicate whether or not news sources are reputable. But can we increase the power of these icons by adding more detailed infor­ mation about the evaluation that explains the reasons for the icon? What additional benefit would such evalu­ ation details bring? Would they have the same effect for both positive and negative evaluations? We conducted two online experiments to understand the effects of a source evaluation icon (a positive or negative summary of the evaluation) and more detailed evaluation information explaining the reasons for the icon. Our results show an asymmetric effect of positive and negative icons and details. Negative icons reduced the believability of the articles, but adding evaluation details supporting the icon had no additional effect. In contrast, positive icons had no significant effects, but adding evaluation details significantly increased believability. We also found that users were more likely to view the evaluation details when the content of the article aligned with their pre-existing opinions, but the valence of the icon (positive or negative) did not affect this decision. Collapse

Topics: social media Facebook fake news user interface usability

Methods: experiment theory development descriptive statistic linear regression analysis survey

Deepfake Valence: A Double-edged Sword

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Liang, Huigang; Chew, Shao

Abstract: Deepfakes have garnered widespread attention for their malicious use. Despite i ... Expand

Abstract: Deepfakes have garnered widespread attention for their malicious use. Despite its infamy, deepfakes can bring forth a myriad of benefits. Given the controversies around deepfake, it is unclear why people adopt this technology for various purposes. Through the lens of rational choice theory, we develop a research model to explain deepfake adoption. From the perspective of deepfake developers, we categorize deepfake usage based on two dimensions: purpose (utilitarian vs. hedonic) and valence (benevolent vs. malevolent). Deepfake adoption is driven by a risk benefit analysis which, in turn, is influenced by socioenvironmental factors. Collapse

Topics: deepfake social norm technology adoption computer crime

Methods: SEM tool survey statistical hypothesis test scale reliability field study

Theories: rational choice theory big five model

“My Precious!”: A Values-Affordances Perspective on the Adoption of Bitcoin

2023 | Journal of the Association for Information Systems | Citations: 0

Authors: Lichti, Constantin; Tumasjan, Andranik

Abstract: Given the growing pervasiveness of information systems (IS) in everyday life, r ... Expand

Abstract: Given the growing pervasiveness of information systems (IS) in everyday life, recent research has acknowledged that IS technologies are often not value free but are instead infused with fundamental personal values. However, little is known about how such values explain why people assimilate these technologies and their affordances. In the intriguing case of Bitcoin, personal values-especially libertarian political values-played an essential role in clarifying the ideological underpinnings of Bitcoin and its early adoption. Consequently, we draw on research on personal values and affordance theory to develop and test a model explicating how these personal values guide individuals toward using IS applications with salient affordances that address their values. Specifically, we hypothesize and test how individuals' personal values (i.e., libertarian political values) influence their attitudes toward Bitcoin affordances and their Bitcoin use behavior using data from a multiple administration survey of 236 users and nonusers of Bitcoin. Our results indicate that libertarian political values affect individuals' attitudes toward Bitcoin affordances, which in turn mediate the effects of these values on actual Bitcoin use. Our findings advance the field by demonstrating the importance of integrating values into the conceptualization of IS technology affordances. Collapse

Topics: Bitcoin affordance blockchain information system use user experience

Methods: theory development survey design artifact data transformation post-hoc analysis

Theories: theory of affordance sociomaterialism theory socio technical theory

Beyond effective use: Integrating wise reasoning in machine learning development

2023 | International Journal of Information Management | Citations: 0

Authors: Namvar, Morteza; Intezari, Ali; Akhlaghpour, Saeed; Brienza, Justin P.

Abstract: The introduction of machine learning (ML), as the engine of many artificial inte ... Expand

Abstract: The introduction of machine learning (ML), as the engine of many artificial intelligence (AI)-enabled systems in organizations, comes with the claim that ML models provide automated decisions or help domain experts improve their decision-making. Such a claim gives rise to the need to keep domain experts in the loop. Hence, data scientists, as those who develop ML models and infuse them with human intelligence during ML devel­ opment, interact with various ML stakeholders and reflect their views within ML models. This interaction comes with (often conflicting) demands from various ML stakeholders and potential tensions. Building on the theories of effective use and wise reasoning, this mixed method study proposes a model to better understand how data scientists can use wisdom for managing these tensions when they develop ML models. In Study 1, through interviewing 41 analytics and ML experts, we investigate the dimensions of wise reasoning in the context of ML development. In Study 2, we test the overall model using a sample of 249 data scientists. Our results confirm that to develop effective ML models, data scientists need to not only use ML systems effectively, but also practice wise reasoning in their interactions with domain experts. We discuss the implications of these findings for research and practice. Collapse

Topics: decision making human in the loop human computer interaction mobile system internet of things

Methods: conceptual modelling qualitative interview survey partial least squares path modeling descriptive statistic

Theories: big five model theory of effective use

Effects of gender congruity in human-robot service interactions: The moderating role of masculinity

2023 | International Journal of Information Management | Citations: 0

Authors: Pitardi, Valentina; Bartikowski, Boris; Osburg, Victoria-Sophie; Yoganathan, Vignesh

Abstract: Despite humanoid service robots having attracted considerable research attention ... Expand

Abstract: Despite humanoid service robots having attracted considerable research attention, it remains unclear how consumers respond to some specific human characteristics of robots. Drawing from theories on social catego­ rization and identification, we study the role of consumer perceived control as a psychological mechanism to explain how human-robot gender congruity alters consumers’ affective reactions (feelings of comfort in the service encounter and service brand attitudes). We also consider that such gender congruity effects may be contingent on the individual cultural value of masculinity. We demonstrate experimentally that human-robot gender congruity (vs. incongruity) elicits more positive affect, while masculinity moderates some of these ef­ fects. Moreover, perceived control mediates effects of gender congruity on affective reactions only for consumers high on masculinity. We offer three major theoretical contributions as we 1) focus on social identity theory to shed light on how human-robot gender congruity affects consumer behavior in service encounters, 2) demon­ strate the role of perceptions of control as a psychological process variable to explain these effects, and 3) provide insights into the role of the cultural value of masculinity as a factor that shapes human-robot gender congruity effects. Collapse

Topics: robotic consumer behavior social norm human computer interaction artificial intelligence

Methods: experiment survey ANOVA parametric test statistical hypothesis test

Theories: social identity theory

Email Overload: Investigating Technology-fit Antecedents and Job-related Outcome

2023 | ACM SIGMIS Database | Citations: 0

Authors: Tarafdar, Monideepa; Wenninger, Helena; Stich, Jean-François

Abstract: Email is the communication application most widely used in organizations. Yet, e ... Expand

Abstract: Email is the communication application most widely used in organizations. Yet, email is associated with a number of negative aspects, most prominently 'email overload' - a phenomenon that is theoretically interesting but vexing in practice because it has proved intractable to manage. We problematize the current understanding of email overload as being due to lack of understanding of its technology fit-related antecedents and job-related outcomes, and then investigate how email overload is influenced by a lack of fit between the communication applications that the organization provides to individuals and those that (1) they want, and that (2) are suitable for their tasks. We hypothesize that such lack of fit leads to email by default, defined as the perception of email being used improperly, when other communication applications would be better suited. Email by default is then hypothesized to lead to email overload. We further investigate job-related outcomes of email overload. The hypothesized relationships are supported by our findings, based on data from a two-stage, multi-method empirical study in a large manufacturing organization. The paper theoretically broadens the scholarly discourse on email overload to include novel antecedents and outcomes in the ongoing quest to establish a more complete understanding of this phenomenon. Collapse

Topics: electronic mail communication service infrastructure productivity job satisfaction human resource management

Methods: survey qualitative interview mixed method statistical hypothesis test theory development

Theories: theory of task technology fit

Security is Local: The Influence of the Immediate Workgroup on Information Security

2023 | Journal of the Association for Information Systems | Citations: 0

Authors: Wang, Dawei; Durcikova, Alexandra; Dennis, Alan

Abstract: Information security is a multilevel phenomenon with employee security decision ... Expand

Abstract: Information security is a multilevel phenomenon with employee security decisions being influenced by macrolevel factors (e.g., organizational policies), mesolevel factors (e.g., one's immediate workgroup-IW), and microlevel factors (e.g., individual personalities). We argue that an employee's local IW (i.e., immediate supervisor and coworkers) has a strong effect on security. This paper focuses on the effects of these mesolevel factors in the presence of macro-and microlevel factors. Drawing on the social structure and social learning framework as well as workgroup research, we hypothesize that the security behavior of an employee's IW supervisor and coworkers moderated by the nature of these relationships influences information security decisions. Our research, based on a sample of 217 full-time employees, reveals that the IW significantly affects security decisions, over and above the micro-and macrolevel factors. These effects are moderated by the nature of the relationship between employees and their IW supervisor (leader-member exchange) and coworkers (team-member exchange). A post hoc analysis shows that the mesolevel factors alone had the same explanatory power as the micro-and macrolevels combined. Our research suggests that future theory and research should include the IW and that organizations should share security responsibilities with line managers and help them understand their substantial impact on information security. Security training programs should ask employees about the behaviors of their IW supervisor and coworkers and, where needed, deliver anti-neutralization training to mitigate the effects of the IW's noncompliance behaviors.Alexandra Durcikova is an associate professor of MIS at the Price College of Business, University of Oklahoma. Her research focuses on knowledge management, knowledge repositories, and human compliance with security policy and characteristics of successful phishing attempts within the area of computer security, and health information systems. Collapse

Topics: data security IT security threat IT security password self efficacy

Methods: survey theory development descriptive statistic data transformation factor analysis

Theories: big five model social learning theory leader–member exchange theory