HJITM Research
20 articlesStrategy and Executive Support, Not Data, Decide Whether Corporate AI Projects Succeed
A collaborative study of what makes corporate AI projects succeed has been published in the SCIE-indexed international journal Journal of Computer Information Systems. An AI strategy aligned with business needs proved a stronger driver of success than data quality.
University Students' ChatGPT Adoption Driven More by the People Around Them Than by Performance
A collaborative study analyzing the drivers of ChatGPT adoption among university students with the TOEK model, which adds knowledge application to the technology–organization–environment (TOE) framework, has been published in the SCIE-indexed international journal Scientific Reports. The strongest influence on adoption intention was social influence from those around the students.
Others' Expectations and Trust Drive University Students' ChatGPT Use
An HJITM study explaining university students' actual ChatGPT use through the theory of planned behavior has been published in the SSCI-indexed international journal Information Development. Others' expectations and trust drove intention to use, while students' sense of their own control had no effect.
Pandemic Cabin Fever Led People to Talk More With AI Assistants
A collaborative study analyzing the usage intensity of smartphone AI assistants (IPAs) during the COVID-19 period has been published in the SCIE-indexed international journal Scientific Reports. The research was conducted with Professor Eun-Mi Baek of The Catholic University of Korea, an external advisory professor at HJITM.
Users Stay When the Conversation Flows: Interaction Is the Key to Continued Use of AI Voice Assistants
An HJITM study analyzing continuance intention toward AI voice assistants has been published in the SSCI- and SCIE-indexed international journal Universal Access in the Information Society. Only natural interaction raised both attitude and continuance intention.
Intelligent Voice Assistant Quality Leads Through Utility and Enjoyment to Goal Attainment
An HJITM study analyzing how the quality of intelligent voice assistants (IVAs) leads to users' goal attainment has been published in the SSCI-indexed international journal International Journal of Mobile Communications.
“Hi, Bixby”: Usefulness Is What Makes AI Assistants Help Users Reach Their Goals
An HJITM study analyzing the factors that determine goal-congruent use and outcomes of AI personal assistants has been published in the SSCI-indexed international journal Journal of Information Science.
Fun, More Than Utility, Keeps People Using AI Assistants
An HJITM study analyzing continuance intention toward AI personal assistants through utilitarian and hedonic value has been published in the SCIE-indexed international journal Heliyon. Hedonic value, stemming from fun and enjoyment, raised continuance intention more strongly.
Why University Students Keep Using Generative AI Starts With Confirming Their Expectations Were Met
A collaborative study analyzing university students' intention to continue using generative AI with the expectation-confirmation model has been published in the SSCI- and SCIE-indexed international journal Sustainability. Confirming that the tool performed as expected raised satisfaction the most, and the model explained 64.1% of continuance intention.
Goal Attainment and Confidence, Not Satisfaction, Drive Office Workers' Paid ChatGPT Subscriptions
An HJITM study analyzing the factors that determine office workers' intention to subscribe to ChatGPT Plus has been published in the SSCI-indexed international journal Marketing Intelligence & Planning. Satisfaction did not increase use, but goal-congruent outcomes and self-efficacy led through use to subscription intention.
Why office workers recommend ChatGPT to colleagues: usefulness comes before satisfaction
A joint study examining how ChatGPT’s AI capabilities and humanlike personality translate into workplace word of mouth has been published in the SCIE journal Scientific Reports. All 15 hypotheses were supported, and practical value had the largest effect on word of mouth.
Willingness to pay for ChatGPT hinges on satisfaction and perceived risk, not usefulness
An HJITM study analyzing the factors that determine willingness to pay for the paid ChatGPT-4 service has been published in the SSCI journal International Journal of Human–Computer Interaction. Perceived risk moved willingness to pay the most.
Office workers use ChatGPT because they feel they are learning; benefits alone did not increase use
A joint study analyzing why workers use ChatGPT on the job and what results it brings has been published in the SSCI journal International Journal of Human–Computer Interaction. Knowledge acquisition raised practical benefits the most, and benefits led to actual use only through intention to use.
Students’ guilt over using generative AI does not stop use — it only stops word of mouth
An HJITM study analyzing how the guilt university students feel when using generative AI such as ChatGPT affects use and recommendation has been published in the SSCI journal Ethics & Behavior. Guilt did not reduce use, but it lowered perceived benefits and word of mouth.
Confidence in using generative AI turns into actual use when metacognition is high
A joint study analyzing the factors behind generative AI use and performance and the moderating role of metacognition has been published in the SSCI journal International Journal of Human–Computer Interaction. The effect of AI self-efficacy on use was more than four times larger in the high-metacognition group.
The first step to getting customer-facing staff to use generative AI: an AI that understands the question
An HJITM study analyzing the factors behind generative AI use among customer-facing employees at B2C companies has been published in the SSCI journal Journal of Organizational Change Management. The AI’s ability to understand queries was the starting point of every path, and organizational AI practices strengthened the link from usefulness to use.
For university students using ChatGPT, performance outweighed concerns
An HJITM study analyzing university students’ ChatGPT usage behavior from the perspectives of both benefits and concerns has been published in the International Journal of Educational Technology in Higher Education, an SSCI journal in higher education technology. All 16 hypotheses were supported.
ChatGPT word of mouth comes not from using it a lot, but from wanting to use it again
An HJITM study analyzing ChatGPT use and word of mouth with a four-stage model has been published in the SSCI journal Telematics and Informatics. Word of mouth was driven not by usage volume but by intention to use and perceived benefits, and three paths differed between university students and office workers.
What keeps office workers using generative AI is empathy more than convenience
A joint HJITM study analyzing how generative AI’s responsiveness and empathy, together with users’ technology optimism, lead to perceived work performance and actual use has been published in the SSCI journal International Journal of Human–Computer Interaction. Perceived performance drove use, but practical benefits alone did not increase it.
The more humanlike generative AI becomes, the greater office workers’ job anxiety
An HJITM study empirically identifying which characteristics of generative AI heighten office workers’ job replacement anxiety has been published in the SSCI journal Technological Forecasting and Social Change. Anthropomorphism and personalization increased anxiety, and technology skepticism amplified anxiety for some characteristics while dampening it for others.