scholarly journals Sharp Connection

2011 ◽  
pp. 34-56
Author(s):  
Paul Hendriks ◽  
Wendy Jacobs
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
The Other ◽  
Competitive Intelligence ◽  
Stepping Stone ◽  
Natural Connection ◽  
Task Technology Fit ◽  
Acceptance Model ◽  
The Relationship ◽  
And Task

Assessing the value of ICT to support Competitive Intelligence presumes an understanding of the relationship between the two. The chapter argues that starting from either the ICT or CI side to this relationship and linking to the other, as most studies do, cannot secure a fully adequate conception of ICT’s value to CI. Instead, the challenge is to find an appropriate foundation in the relationship itself and use it as a stepping stone for developing an understanding of both ICT and CI. The chapter proposes to use and develop the concept of acceptability to provide that foundation. Acceptability offers a natural connection between the technology and CI sides. An object—e.g., a technology—cannot be acceptable in a void, but presumes a relation to a context or a subject—e.g., the CI function—to be considered acceptable or unacceptable. The Technology Acceptance Model (TAM) and Task-Technology Fit model (TTF) provide useful elements to develop this approach further. The chapter presents the case of an intranet to support CI, called IntraTel, to illustrate the argument.

scholarly journals Big Data Analytics Usage and Business Performance: Integrating the Technology Acceptance Model (TAM) and Task Technology Fit (TTF) Model

2020 ◽  
Vol 23 (1) ◽  
Author(s):  
Hemlata Gangwar
Keyword(s):  
Big Data ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Data Analytics ◽  
Business Performance ◽  
Big Data Analytics ◽  
Integrated Model ◽  
Task Technology Fit ◽  
Acceptance Model ◽  
And Task

The purpose of this study is to propose a unified model integrating both the technology acceptance model (TAM) and task technology fit (TTF) model, and explore the organizational and environmental fit of the integrated model in order to investigate usage of Big Data Analytics and its effect on business performance. A questionnaire was used to collect data from 280 companies in CPG & Retail, Healthcare, Banking and Telecom in India. The data were analysed using exploratory and confirmatory factor analyses. Further, structural equation modelling was used to test the proposed model. The findings show that the research model for integrating the TAM for adoption and TTF model for utility provides a more comprehensive understanding of Big Data Analytics usage. The study identified task technology fit , individual technology fit, organizational data fit, organizational process fit, and business strategy fit as Tidd important variables for affecting Big Data Analytics usage using perceived ease of use (PEOU) and perceived usefulness (PU) as mediating variables. Competitive fit and partner support/customer fit were also found to be directly affecting Big Data Analytics usage, which in turn has significant influence on business performance. The model explained 71.4 percent of Business performance. The integrated model may be used as a guideline to ensure a positive outcome of Big Data Analytics usage in organizations. This study combined both the key ideas of TAM and TTF to show that they were necessary in predicting Big Data Analytics usage and business performance.

I want to learn more! Integrating technology acceptance and task–technology fit models for predicting behavioural and future learning intentions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alessandro Lo Presti ◽  
Assunta De Rosa ◽  
Enrico Viceconte
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Moderated Mediation Model ◽  
Task Technology Fit ◽  
Acceptance Model ◽  
Training Opportunities ◽  
Future Learning

Purpose Constant and frequent technological changes within organizations call for further scholarly attention, as behavioural intentions need to be coupled also with future learning intentions to predict the present and prospective individual adaptations and performance. This study, grounded on the technology acceptance model, aims to examine the association between training opportunities and behavioural and future learning intentions also taking into account the role of task–technology fit as a moderator. Design/methodology/approach A survey was carried out within a single organization in the water processing sector on a sample of 200 workers who recently experienced a technological change through the adoption of System Application and Product in data processing. A moderated–mediation model was estimated through regression analyses with bootstrapping. Findings The results were consistent with study hypotheses. In particular, task–technology fit amplified the positive association between perceived ease of use and training opportunities as well as the indirect effect of this latter on both behavioural and future learning intentions through perceived ease of use and perceived usefulness. In sum, the hypothesized moderated–mediation model was confirmed. Originality/value Three novelty factors of this study can be stressed: it is among the few studies carried out on Italian workers in the realm of technology adoption, it expanded the technology acceptance model by including traditional behavioural intentions and future learning intentions as outcome variables and it integrated the task–technology fit perspective within the technology acceptance model.

scholarly journals Technology Acceptance of QR Code Payment and Its Effective Advertisement Media for Multi-Channel Customers

2021 ◽  
Vol 12 (4) ◽  
pp. 84-91
Author(s):  
Michiko Miyamoto ◽  
◽  
Yuji Kudo
Keyword(s):  
Technology Acceptance ◽  
Survey Data ◽  
Technology Acceptance Model ◽  
Structure Equation ◽  
Qr Code ◽  
Payment Reform ◽  
Actual Usage ◽  
Equation Analysis ◽  
Acceptance Model ◽  
The Relationship

Cash settlement accounts for 80% of entire transaction in Japan. Japanese government has announced the “Payment Reform Declaration,” by setting “the Cashless Vision” with a target of 40% cashless payment ratio by 2025 and aims to achieve the world's highest level of cashless payment ratio of 80% in the future. The purpose of this study is to analyze which media has affected the consumers who use QR code payment, PayPay. This research proposes a framework based on the Technology Acceptance Model (TAM) for an effective advertisement medium by using survey data on PayPay. Structure equation analysis is conducted to measure the relationship between different advertising media and consumers’ intentions to use, as well as actual usage of PayPay.

PATH ANALYSIS BETWEEN CONSTRUCTS OF TECHNOLOGY ACCEPTANCE MODEL (TAM) (A CASE STUDY ON RECEIPT OF VIRTUAL ARMS SOLUTION FTS D - 423 IN INDONESIAN EASTERN FLEET TRAINING COMMAND)

JOURNAL ASRO ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 101
Author(s):  
Ikhwan Syahtaria ◽  
Ahmadi Ahmadi ◽  
Bambang Suharjo ◽  
Pius Herdasa Krisna Murti
Keyword(s):  
Path Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Ease Of Use ◽  
Use Of Technology ◽  
Computer Based ◽  
Acceptance Model ◽  
The Relationship

Indonesian Eastern Fleet Training Command currently has the facilities to train professional soldiers in the shooting.A simulator facility in the form of computer-based clinic shooting is called Virtual Arms Solution FTS D-423 (VAS).Need to analyse the relationship between perceived ease of use and usefulness of VAS in order to determine thelevel of acceptance. Both these factors are modelled by the Technology Acceptance Model (TAM) which canexplain the factors that influence the actual receipt of the use of technology. After that, the relationship between thetwo factors that have been modelled with the Technology Acceptance Model to be treated using Path Analysis(Path Analysis). Where the path analysis was used to analyse the causal relationships between variables in order todetermine the effect of the direct and indirect causes of the variable to a variable result. Based on the analysis anddiscussion, it is obtained as follows that the ease and usefulness of a positive effect on Attitude using VAS positiveeffect on Behavioural Intention using VAS. Behavioural intentions affect the Actual Usage.Keywords: Virtual Arms Solution, Technology Acceptance Model, Path Analysis.

Investigation into Factors that Influence the Use of the Web in Knowledge-Intensive Environments

2002 ◽  
pp. 135-144
Author(s):  
Yong Jin Kim ◽  
H. Raghav Rao ◽  
Abhijit Chaudhury
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
New Technologies ◽  
Organizational Factors ◽  
External Variable ◽  
Knowledge Intensive ◽  
Acceptance Model ◽  
The University ◽  
The Relationship ◽  
The Web

The paper develops a set of hypotheses regarding the relationship between the TAM (Technology Acceptance Model) constructs and external variables such as individual differences, organizational factors, and risk factors. It uses TAM as a basis to hypothesize the effects of each external variable on the use of the Web as knowledge-transfer tool in the university context. The sample of this study will be professors in a university. The contributions of this chapter are twofold. First of all, this study may give an insight regarding the question of when and who is an eager user of new technologies for learning. Secondly, this chapter is the first one to use technology acceptance model in the context of knowledge-management systems.

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