| Title |
Sustainable Change Management through Employee Readiness: Decision Support System Adoption in Technology-Intensive British E-Businesses |
| ID_Doc |
78019 |
| Authors |
Ahmed, F; Qin, YJ; Martínez, L |
| Title |
Sustainable Change Management through Employee Readiness: Decision Support System Adoption in Technology-Intensive British E-Businesses |
| Year |
2019 |
| Published |
Sustainability, 11, 11 |
| DOI |
10.3390/su11112998 |
| Abstract |
Technology brings green sustainable management practices to the workplace. It is important to ascertain the factors that enable or inhibit employees' perceptions towards technology adoption. Corporate sustainability and sustainable management practices partially depend on employees for the successful implementation of technological changes in the workplace. This study aims at applying the technology acceptance model (TAM) from an employees' user-perspective. It addresses those factors that form employee readiness for e-business and enable their intention to use e-business technologies such as decision support systems (DSS). It focuses on technology intensive firms while combining Davis' technology acceptance model and Lai and Ong's employee readiness for e-business (EREB) model. A survey questionnaire was used to collect the data for this cross-sectional study from 331 employees of 28 well-established small and medium-sized e-businesses located in the United Kingdom. The outcomes show that the four dimensions of EREB explain the 58.2% of variance in perceived ease of use and the 50.2% of variance in perceived usefulness. Together, perceived usefulness and perceived ease of use explain the 51.8% of variance in intention to use while fully mediating the relationship between higher order EREB construct and intention to use DSS. |
| Author Keywords |
employee readiness for e-business; decision support systems; TAM; perceived usefulness; intention to use |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000472632200003 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
https://www.mdpi.com/2071-1050/11/11/2998/pdf?version=1560133026
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