Technology Readiness Index (Tri)
By A. Parasuraman. 2000
2,472 citations recorded by the source corpus.
Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/0728964ec29130d59096460904223b442781227c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Jiun-Sheng Chris Lin
- Cheng Wang
- Pei-Ling Hsieh
- A. Parasuraman
- Markus Blut
- M. Meuter
- J. Curran
- Luis Vicente Casaló
In Organizational Behavior and Human Resource Management
- Cheng Wang
- Jiun-Sheng Chris Lin
- Pei-Ling Hsieh
- A. Parasuraman
- Luis Vicente Casaló
- Carlos Flavián
- M. Meuter
- Markus Blut
In Sociology and Political Science
- Jiun-Sheng Chris Lin
- Cheng Wang
- Pei-Ling Hsieh
- Luis Vicente Casaló
- Carlos Flavián
- M. Meuter
- Daniel Belanche
- Anna S. Mattila
Citations in the corpus
- Transforming the Customer Experience through New Technologies (2020, background): “This construct has been labeled technological readiness (Parasuraman, 2000).”
- The impact of technology on the quality-value-loyalty chain: A research agenda (2000, background): “• For end customers (i.e., consumers), in what ways do characteristics such as their demographics, lifestyles, experience with other technology-based systems, and technology readiness (Parasuraman 2000) affect their perceptions of quality and value of their interactions with technology?”
- Job Characteristic Beliefs and Personality as Antecedents of Subjective Person–Job Fit (2006, background): “In addition, individuals’ attitudes toward technology (i.e., their technological readiness; Parasuraman, 2000) may play a role in P–”
- Opportunities for Innovation in the Delivery of Interactive Retail Services (2010, background): “A consumer's willingness to use non-traditional channels and the amount and nature of participation will depend on level of technology readiness (Parasuraman 2000), concern for privacy and security (Milne 2000), motivations, emotional gratification from participating in the service experience, role…”
- The Role of Anticipated Emotions in Purchase Intentions (2016, background): “…showed that the exclusion of this emotion from the posAEp scale did not have a significant improvement in the alpha value (from .89 to .91) (Parasuraman, 2000), and (b) to obtain symmetric scales of positive AE in terms of emotional content and number of items, since peaceful was already…”
- Designing Multi-Interface Service Experiences (2008, background): “Previous research has shown that different customer segments have different preferences in terms of technology and self-service usage (Ding, Verma, and Iqbal 2007; Parasuraman 2000).”
- Intentions to Use Self-Service Technologies: A Confluence of Multiple Attitudes (2003, methodology): “Identification of patterns in attitude commonality for these groups using demographics, psychographics, or other means such as measurement scales (i.e., The Technology Readiness Index; Parasuraman 2000) can be an important extension of this work.”
- The influence of technology readiness on satisfaction and behavioral intentions toward self-service technologies (2007, methodology): “Due to the rapid infusion of technology into the process through which services are purchased and consumed, the traditional triangle model of service marketing proposed by Kotler (1994), which emphasizes the interactions between company, employees and customers, cannot completely capture the present”
- To Err Is Human(-oid): How Do Consumers React to Robot Service Failure and Recovery? (2020, background): “Consumers’ levels of technology readiness (Parasuraman 2000) or consumer innovativeness (Zhu et al. 2013) may influence their acceptance of changes and trust in technologyinfused service provision.”
- Generic technology-based service quality dimensions in banking: Impact on customer satisfaction and loyalty (2011, background): “This is so because customers may not be ready to avail the tech-based service delivery and there is proof of growing customer frustration while interacting with the technology based service delivery interfaces ( Parasuraman, 2000”
- Consumer Adoption of Online Food Delivery Ordering (OFDO) Services in Pakistan: The Impact of the COVID-19 Pandemic Situation (2020, background): “TR is categorized into four personality traits (positive as well as negative traits) based on customers’ readiness: (1) optimism, (2) innovativeness, (3) discomfort, and (4) insecurity [41].”