Impacts of task interdependence and equivocality on ICT adoption in the construction industry: a task-technology fit view

2021 ◽  
pp. 1-18
Author(s):  
Yuanyuan Hua ◽  
Fei Kang ◽  
Sujuan Zhang ◽  
Jiyu Li
Keyword(s):  
Construction Industry ◽  
Task Interdependence ◽  
Ict Adoption ◽  
Task Technology Fit

Task-Technology Fit Assessment of Cloud-Based Collaborative Learning Technologies

2017 ◽  
pp. 371-388 ◽  
Author(s):  
Elaheh Yadegaridehkordi ◽  
Noorminshah A. Iahad ◽  
Norasnita Ahmad
Keyword(s):  
Collaborative Learning ◽  
Learning Experience ◽  
Learning Technologies ◽  
Task Interdependence ◽  
Learning Technology ◽  
Postgraduate Students ◽  
Intention To Adopt ◽  
User Adoption ◽  
Task Technology Fit ◽  
Collaborative Activities

Universities require basic changes in knowledge and communication-based society in order to achieve higher order learning experience and to satisfy expectations of new generation of students. This study aims to understand the likelihood of the cloud-based collaborative learning technology adoption within educational environments. Reviewing cloud computing research, technology characteristic construct was divided into collaboration, mobility, and personalization. Based on the Task-Technology Fit (TTF) model, this study tested a theoretical model encompassing seven variables: collaboration, mobility, personalization, task non-routineness, task interdependence, task-technology fit, user adoption. Purposive sampling was used and data were collected from 86 undergraduate and postgraduate students who had experiences in using cloud-based applications for collaborative activities. The results indicated that task non-routineness, collaboration, mobility, and personalization have positive significant effects on TTF. However, distinct from past studies, task interdependence positively influences TTF. In addition, results indicated that the significant effect of TTF on users' intention to adopt cloud-based collaborative learning technologies was considerable.

TASK-TECHNOLOGY FIT IN THE ADOPTION OF LINEAR SCHEDULING METHOD

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Juneseok Yang ◽  
David Arditi
Keyword(s):  
Construction Industry ◽  
Target Population ◽  
Project Managers ◽  
Software Packages ◽  
Linear Scheduling ◽  
Management Association ◽  
Scheduling Method ◽  
Research Findings ◽  
Task Technology Fit ◽  
Resource Data

Although the general consensus is that linear scheduling methods (LSMs) are quite powerful, their use in construction has been very limited. The linkage between the characteristics of scheduling methods and the requirements of the tasks performed by schedulers has been an on-going concern in the construction industry. This study proposes a “task-technology fit” model to understand why LSMs are not being used as extensively as expected. The model aims to determine whether the characteristics of LSM (technology) satisfy the duties and obligations of construction schedulers (tasks). By scrutinizing the task-technology fit in LSM applications, deficiencies can be detected which hinder the wider use of these methods in the industry. A questionnaire survey was administered to measure task-technology fit in LSM applications. The target population included schedulers, project managers, construction managers, and other professionals listed in the directory of the Construction Management Association of America (CMAA). The findings indicate that LSM is effective in repetitive projects and is able to provide a smooth and efficient flow of resources by adjusting activities’ rate of production. In addition, research findings point out that LSM effectively shows activity sequences as well as progress. However, the findings also reveal that LSM is not applicable when reliable resource data are not available. It should also be noted that very few software packages that perform LSM scheduling are commercially available on the market.

AN INVESTIGATION OF PERSON-TASK-TECHNOLOGY INTERACTION AND ICT ADOPTION IN CONSTRUCTION

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Yuanyuan Hua ◽  
Anita M. M. Liu
Keyword(s):  
Communication Technology ◽  
Technology Use ◽  
Research Model ◽  
Ict Implementation ◽  
Person Environment Fit ◽  
Task Requirements ◽  
Effective Technology ◽  
Ict Adoption ◽  
Information And Communication ◽  
Task Technology Fit

Information and communication technology (ICT) has been identified as key to enhancing information processing in construction. However, the use of ICT is not always effective due to individuals’ resistance to use the ICT. Effective technology use is the interaction of three elements: the competencies and motivations of users, the nature and purpose of technology, and the characteristics of tasks. This research positions task requirements at the center of person-task-technology interaction. Both individuals’ capability and technology’s functionality need to fit task requirements. The aim of this research is to explore the influence of task-technology fit and person-task fit on individuals’ ICT adoption behavior. This research extends the traditional task-technology fit model by combing it with the construct of person-task fit from person-environment fit theory. The research model proposes that both individuals’ capability and technology’s functionality to carry out the task are crucial in ICT adoption. ICT managers should not overlook human factors during ICT implementation.

Interaction between task characteristics and technology affordances

2019 ◽  
Vol 33 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Jindi Fu ◽  
Rong-An Shang ◽  
Anand Jeyaraj ◽  
Yuan Sun ◽  
Feng Hu
Keyword(s):  
Social Capital ◽  
Strong Support ◽  
Appropriate Technology ◽  
Task Interdependence ◽  
Content Type ◽  
Bonding Social Capital ◽  
Bridging Social Capital ◽  
Technology Affordances ◽  
Task Technology Fit ◽  
Task Environments

Purpose Enterprise social media (ESM) usage has gained considerable momentum within organizations. The purpose of this paper is to seek a better understanding of ESM usage based on the task environments and the technology affordances of ESM. Design/methodology/approach This study is based on a survey consisting of 556 usable responses. Regression methods are applied to analyze the data. Findings This study finds strong support for the positive impact of task-technology fit on ESM usage. Considering separately, task equivocality had no impact; task interdependence had a negative effect on ESM usage; bridging social capital had a positive effect; and bonding social capital had a marginal impact on ESM usage. Research limitations/implications This research incorporated social capital into discussions of task-technology fit. A 2×2 matrix based on task equivocality and task interdependence was developed, which may be extended to other contexts or technologies. Practical implications ESM implementation should account for both task environments and the appropriate technology affordances. Individuals access bridging social capital to a greater extent than bonding social capital using ESM, and they do not use ESM when the task environments alone are considered. Originality/value This is an original study that considers task environments and technology affordances in the context of ESM usage. The findings offer valuable and timely contributions to both scholars and practitioners.

Satisfaction With ERP System Implementation

2021 ◽  
Vol 17 (4) ◽  
pp. 98-117
Author(s):  
Boonlert Watjatrakul ◽  
Vimolluck Vatanapitukpong
Keyword(s):  
User Satisfaction ◽  
Structural Equation ◽  
Task Interdependence ◽  
Equation Modeling ◽  
System Implementation ◽  
System Utilization ◽  
Erp System ◽  
Task Technology Fit ◽  
User Knowledge ◽  
Positive Effect

While many studies explain factors influencing the success of ERP implementation, little is known about the system outcome to satisfy user expectations based on the concepts of task-technology fit and person-task fit. The study examines the effects of fits between user interfaces, task interdependence, and user knowledge on system utilization and performance impacts leading to user satisfaction with ERP system implementation. Based on the structural equation modeling analysis and two-way interaction test results, a user interface dampens the positive effect of task interdependence on task-technology fit while it strengthens the positive effect of user knowledge on task-technology fit. Task interdependence dampens the positive effect of user knowledge on system utilization. The results provide guidance on how to enhance the system impacts on user performance and encourage the system usage resulting in user satisfaction with the ERP system implementation. The paper provides detailed discussions of the results, the implications for theory and practices, and the study limitations.

Task-Technology Fit Assessment of Cloud-Based Collaborative Learning Technologies

2016 ◽  
Vol 8 (3) ◽  
pp. 58-73 ◽  
Author(s):  
Elaheh Yadegaridehkordi ◽  
Noorminshah A. Iahad ◽  
Norasnita Ahmad
Keyword(s):  
Collaborative Learning ◽  
Learning Experience ◽  
Learning Technologies ◽  
Task Interdependence ◽  
Learning Technology ◽  
Postgraduate Students ◽  
Research Technology ◽  
Intention To Adopt ◽  
User Adoption ◽  
Task Technology Fit

Universities require basic changes in knowledge and communication-based society in order to achieve higher order learning experience and to satisfy expectations of new generation of students. This study aims to understand the likelihood of the cloud-based collaborative learning technology adoption within educational environments. Reviewing cloud computing research, technology characteristic construct was divided into collaboration, mobility, and personalization. Based on the Task-Technology Fit (TTF) model, this study tested a theoretical model encompassing seven variables: collaboration, mobility, personalization, task non-routineness, task interdependence, task-technology fit, user adoption. Purposive sampling was used and data were collected from 86 undergraduate and postgraduate students who had experiences in using cloud-based applications for collaborative activities. The results indicated that task non-routineness, collaboration, mobility, and personalization have positive significant effects on TTF. However, distinct from past studies, task interdependence positively influences TTF. In addition, results indicated that the significant effect of TTF on users' intention to adopt cloud-based collaborative learning technologies was considerable.

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