A Review of the Predictors, Linkages, and Biases in IT Innovation Adoption Research

2006 ◽  
Vol 21 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Anand Jeyaraj ◽  
Joseph W Rottman ◽  
Mary C Lacity
Keyword(s):  
Qualitative Studies ◽  
Perceived Usefulness ◽  
External Information ◽  
Top Management ◽  
It Adoption ◽  
Management Support ◽  
Top Management Support ◽  
Independent Variables ◽  
Dependent Variables ◽  
Adoption Research

We present a review and analysis of the rich body of research on the adoption and diffusion of IT-based innovations by individuals and organizations. Our review analyzes 48 empirical studies on individual and 51 studies on organizational IT adoption published between 1992 and 2003. In total, the sample contains 135 independent variables, eight dependent variables, and 505 relationships between independent and dependent variables. Furthermore, our sample includes both quantitative and qualitative studies. We were able to include qualitative studies because of a unique coding scheme, which can easily be replicated in other reviews. We use this sample to assess predictors, linkages, and biases in individual and organizational IT adoption research. The best predictors of individual IT adoption include Perceived Usefulness, Top Management Support, Computer Experience, Behavioral Intention, and User Support. The best predictors of IT adoption by organizations were Top Management Support, External Pressure, Professionalism of the IS Unit, and External Information Sources. At the level of independent variables, Top Management Support stands as the main linkage between individual and organizational IT adoption. But at an aggregate level, two collections of independent variables were good predictors of both individual and organizational IT adoption. These were innovation characteristics and organizational characteristics. Thus, we can consistently say that generic characteristics of the innovation and characteristics of the organization are strong predictors of IT adoption by both individuals and organizations. Based on an assessment of the predictors, linkages, and known biases, we prescribe 10 areas for further exploration.

DETERMINAN KEPUASAN PENGGUNA AKHIR APLIKASI ERP FREE OPEN SOURCE ADEMPIERE PADA USAHA KECIL MENENGAH: STUDI KASUS PADA UKM BLESSINGS

2016 ◽  
Vol 12 (2) ◽  
pp. 111
Author(s):  
Dionysia Kowanda ◽  
Muhammad Firdaus ◽  
Rowland Bismark Fernando Pasaribu
Keyword(s):  
Information System ◽  
Open Source ◽  
Information Quality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Top Management ◽  
Management Support ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Top Management Support

In a small-sized to big-sized company, evaluate the information system success is essential, yet notalways been seamless. Successful implementation of a system can be indicated by measuring its usersatisfaction. This study aims to measure Adempiere ERP Open Source end-user satisfaction atBlessings SME’s. This study employs three variables from The Updated DeLone and McLean Information System Success (2003), namely information system quality, information quality, andservice quality, and two variables from Technology Acceptance Model (TAM) as well, namely perceived usefulness and perceived ease of use, and also takes top management support as another consideration. Data were collected by distributing questionnaires to the respondents directly concerned. The findings showed that information quality, perceived usefulness, perceived ease of use, and top management support have significant positive impact to Adempiere ERP Open Source enduser satisfaction, whereas information system quality and service quality have positive impact but not significantly.Keywords: Small-Medium Enterprises, information system quality, information quality, servicequality, perceived usefulness, perceived ease of use, top management support, end usersatisfaction, information system

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI ADOPSI CLOUD COMPUTING DI RUMAH SAKIT MUHAMMADIYAH

2015 ◽  
Vol 6 (2) ◽  
pp. 197
Author(s):  
Mohammad Bhanu Setyawan
Keyword(s):  
Cloud Computing ◽  
Behavioral Intention ◽  
Goodness Of Fit ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Top Management ◽  
Management Support ◽  
Perceived Ease Of Use ◽  
Top Management Support ◽  
Behavioral Intention To Use

ABSTRAK Artikel ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi adopsi cloud computing di rumah sakit Muhammadiyah di Indonesia dengan menggunakan Technology Acceptance Model (TAM). Sampel yang digunakan dalam penelitian ini adalah 51 sampel. Alat analisis yang digunakan Partial Least Square (PLS) pada program SmartPLS versi 2.0. Faktor pendukung dalam adopsi cloud computing : perceived ease of use, perceived usefulness, security effectiveness, reliabilty, needs, cost effectiveness, top management support, complexity, behavioral intention to use dan actual usage. Evaluasi goodness of fit dan resampling bootstraping digunakan untuk menganalisis kelayakan model. Evaluasi goodness of fit model struktural diukur menggunakan nilai predictive-relevance diperoleh nilai sebesar = 0,95 yang artinya model memiliki nilai prediktif yang sangat baik. Hasil uji hipotesis diperoleh dengan menggunakan resampling bootstraping dengan menghitung hubungan antar variabel memiliki nilai t- hitung yang lebih besar = 2.01 dalam adopsi cloud computing di rumah sakit Muhammadiyah, 8 (delapan) hipotesis diterima yaitu: Perceived usefulness, , Perceived ease of use , needs, top management support, complexity dan 3 (tiga) hipotesis ditolak yaitu: security, reliabilty dan cost effectivenes Kata kunci: cloud computing, perceived usefulness, needs, top management support, behavioral intention to use, partial leastsquare (PLS).

scholarly journals Critical Factors Influencing Project on Effective Maintenance, Repair and Overhaul (MRO) in Aircraft Aviation Industry

2021 ◽  
Vol 4 (1) ◽  
pp. 1-10
Author(s):  
Seri Rahayu Kamat ◽  
Fatimah Md Hassan ◽  
Wan Hasrulnizzam Wan Mahmood ◽  
Mohammad Firdaus Ani ◽  
Suliswiyadi
Keyword(s):  
Project Success ◽  
Critical Factor ◽  
Two Dimensions ◽  
Aviation Industry ◽  
Top Management ◽  
Management Support ◽  
Critical Factors ◽  
Key Factors ◽  
Top Management Support ◽  
Dependent Variables

This study aims to identify the critical factor influencing the project as regards successful aircraft maintenance, repair, and overhaul (MRO) in the aviation industry. Furthermore, this research also aims to investigate whether regulation of project changes plays a role in moderating the relationship between the independent variables and dependent variables described in this research. Through the literature review process, it was found that top management support, stakeholders, key factors competency, acceptance, risk management, project plan monitoring, and effective communication are among the critical factors identified. Referring to a completed project, this research showed that project progress was in two dimensions in a maintenance context, which this research classifies as a successful micro and macro project. The macro viewpoints of project success mean the organizational stage of the project must be recognized and accomplishment relies on the consumer or collaborators to share. The micro perspective of project success can help to manage a project in small levels and is normally alluded to at the finishing line of the project. The summary result for the 4 hypotheses tested, all of them were significant. The result obtained clearly expressed all of the dependent variables have positive influences on project success in MRO aircraft in the Malaysian aviation industry. This research also demonstrates through trial and error that project key factors’ competency and project mission are critical factors in influencing the micro-project success and as well for macro project success, top management support and project mission are two main critical factors.

scholarly journals Social Media Adoption in Yemeni Local NGOs

2021 ◽  
Vol 2 (2) ◽  
pp. 28-41
Author(s):  
Mohammed Honinah ◽  
Wail Alhakimi
Keyword(s):  
Social Media ◽  
Decision Makers ◽  
Top Management ◽  
Management Support ◽  
Competitive Pressure ◽  
Quantitative Evidence ◽  
Top Management Support ◽  
Perceived Benefit ◽  
Adoption Research ◽  
Survey Responses

Social media use is rapidly increasing as its platforms keep offering excellent opportunities for individuals and organizations, including NGOs, to develop better outreach with communities, donors and stakeholders, save costs and improve service. This study explores quantitative evidence derived from a survey involving 96 participants from 11 local NGOs in Yemen. The survey responses are analyzed using descriptive statistics that includes means and standard deviations to examine the initially identified 6 Technology-Organization-Environment factors (Technological Factors: perceived benefit, compatibility, complexity; Organizational Factor: top management support; Environmental Factors: bandwagon pressure and competitive pressure). The results suggest that the factors (perceived benefit, compatibility, complexity, top management support, and competitive pressure) are important for social media adoption. It was found that bandwagon pressure is the only factor that does not have a significant role in social media adoption. This study provides a foundation for future social media adoption research as well as useful guidance to NGOs that desire to use social media effectively to benefit their organizations. The findings can be useful to managers and communication officers of NGOs. In this study, it is recommended that understanding the factors related to adoption of social media by Local NGOs will help decision-makers be in a better position to enhance future social media adoption and adoption strategies and accomplish the best outcomes of social media utilizations.

Factors influencing adoption of Web 1.0, Web 2.0, and mobile technologies by the growth engine of the U.S. economy

First Monday ◽  
2014 ◽  
Author(s):  
Devendra Potnis ◽  
Kanchan Deosthali
Keyword(s):  
Web 2.0 ◽  
Small Businesses ◽  
External Support ◽  
Mobile Technologies ◽  
Top Management ◽  
It Adoption ◽  
Management Support ◽  
Perceived Benefits ◽  
Top Management Support ◽  
The U.S

Web 1.0, Web 2.0, and mobile technologies help small businesses to serve as the growth engine of the U.S. economy. We propose and test a model to compare the influence of organizational, environmental, and technological factors on the decision of small businesses owners, CIOs, and CEOs to select one set of technologies over the other. Results from structural equations modeling indicate that organizational (top management support, IT staff size, and IT budget), environmental (external support for IT adoption), and technological (perceived benefits of IT and perceived barriers to adopting IT) factors significantly influence the adoption of Web 2.0 by small businesses. All of the above factors except IT budget and perceived benefits fuel the adoption of Web 1.0 technologies. Despite perceiving barriers to adopting IT, small businesses owners, CIOs, and CEOs invest in mobile technologies. Top–management support and external support for IT adoption are the only factors positively affecting the adoption of all of the three sets of technologies considered in this study. We offer strategic suggestions to small businesses for selecting Internet and mobile technology–based solutions and services.

scholarly journals ANALISIS FAKTOR PENENTU ADOPSI CLOUD COMPUTING PADA LAYANAN KESEHATAN

2016 ◽  
Vol 2 (3) ◽  
Author(s):  
Mohammad Bhanu Setyawan
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Goodness Of Fit ◽  
Perceived Usefulness ◽  
Top Management ◽  
Intention To Use ◽  
Management Support ◽  
Top Management Support ◽  
Behavioral Intention To Use

[Id]Artikel ini bertujuan untuk mengetahui faktor-faktor penentu adopsi cloud computing di rumah sakit Muhammadiyah di Jawa Timur dengan menggunakan Technology Acceptance Model (TAM). ?Sampel yang digunakan dalam penelitian ini adalah 29 sampel rumah sakit dengan alat analisis yang digunakan untuk membangun model adalah: perceived ease of use, perceived usefulness, security effectiveness, reliabilty, needs, cost effectiveness, top management support, complexity, behavioral intention to use dan actual usage. ?Evaluasi goodness of fit dan resampling bootstraping digunakan untuk menganalisis kelayakan model. Evaluasi goodness of fit model struktural diukur menggunakan nilai predictive-relevance diperoleh nilai sebesar = 0,95 yang artinya model memiliki nilai prediktif yang sangat baik. Hasil olah data diperoleh dengan menggunakan resampling bootstraping dengan menghitung hubungan antar variabel memiliki nilai t- hitung yang lebih besar = 2.01 dalam adopsi cloud computing di rumah sakit Muhammadiyah di Jawa Timur. Hasil analisis data diperoleh enam variable mempunyai pengaruh positif dan signifikan dalam adopsi cloud computing, yaitu: Perceived usefulness, Perceived ease of use, complexity, needs, top management support dan behavioral intention to use. Selain itu ada tiga variabel secara positif namun tidak signifikan dalam adopsi cloud computing, yaitu: Security effectiveness, reliability dan cost effectivenessKata kunci: cloud computing, needs, technology acceptance model, top management support, behavioral intention to use, partial leastsquare?[En]?This article aims to determine the factors influencing the adoption of cloud computing in the hospital by using Technology Acceptance Model (TAM). The sample used in this study is 29 samples hospital with an analysis tool used to build the model are: perceived ease of use, perceived usefulness, security effectiveness, reliabilty, needs, cost effectiveness, top management support, complexity, behavioral intention to use and actual usage. Evaluation of the goodness of fit and bootstrapping resampling is used to analyze the feasibility of this model. Evaluation of the goodness of fit of the structural model is measured using a predictive value-relevance obtained a value of = 0.95 which means that the model has predictive value was very good. Results if the data is obtained using bootstrapping resampling by calculating the relationship between variables have the value t count bigger = 2.01 in the adoption of cloud computing in the Muhammadiyah hospital in East Java. Results of data analysis obtained six variables have positive and significant influence in the adoption of cloud computing, namely: Perceived usefulness, Perceived ease of use, complexity, needs, top management support and behavioral intention to use. In addition there are three of these variables is positive but not significant in the adoption of cloud computing, namely: Security effectiveness, reliability and cost effectivenessKeywords: cloud computing, needs, technology acceptance model, top management support, behavioral intention to use, partial leastsquare

scholarly journals Analysis Approach to Identify Factors Influencing Digital Learning Technology Adoption and Utilization in Developing Countries

2018 ◽  
Vol 13 (02) ◽  
pp. 48 ◽  
Author(s):  
Abubaker Kashada ◽  
Hongguang Li ◽  
Osama Koshadah
Keyword(s):  
Developing Countries ◽  
Learning Technologies ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Top Management ◽  
Learning Technology ◽  
Digital Learning ◽  
Management Support ◽  
Perceived Ease Of Use ◽  
Top Management Support

The Internet has given learners the ability to learn anytime and anywhere at their own pace facilitated by interactive and adaptive software. Digital learning technology is more than just providing students with a laptop. Digital learning requires a combination of technology, digital content, and instruction. This study aims to identify and observe the impact and mediation of top management support in relation to the successful adoption of digital learning technologies in developing countries. A questionnaire was designed and distributed to rate the successful adoption and utilization of digital learning technologies in developing countries and data was analyzed using structural equation modeling. This study provides empirical evidence and explains many complex factors, such as user awareness, perceived usefulness, perceived ease of use, and information communication technology infrastructure, in the context of top management support to facilitate the effective utilization of a digital learning technology. Mediating the top management support between adoption of a digital learning technology and user awareness, perceived usefulness, and perceived ease of use provides clear and crucial evidence to support the effective adoption of a digital learning technology.

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