Information Technology Continuance Intention

2016 ◽  
Vol 12 (1) ◽  
pp. 58-95 ◽  
Author(s):  
Ali Nabavi ◽  
Mohammad Taghi Taghavi-Fard ◽  
Payam Hanafizadeh ◽  
Mohammad Reza Taghva
Keyword(s):  
Systematic Review ◽  
Information Technology ◽  
Qualitative Methods ◽  
Research Methods ◽  
Academic Research ◽  
Research Articles ◽  
Continuance Intention ◽  
The Future ◽  
Methodological Approaches

This article provides a systematic review of 191 research articles published on the Information Technology (IT) continuance intention between 2001 and 2014. The IT continuance intention literature was analyzed based on a series of dimensions including year of publication, journal, country, author, research methods, type of respondents, the theories and theoretical constructs utilized, and the contexts and technologies examined. Findings suggest that interest in the topic of IT continuance intention has been increasing steadily in recent years, and becomes an emerging area for academic research into the future. In order to improve research in IT continuance intention, future researchers could apply greater use of the theoretical and methodological approaches such as qualitative methods to investigate the continuance intention of information technology.

Instructional Design, Web 2.0 Style

2010 ◽  
pp. 355-402
Author(s):  
Bruce C. Howard
Keyword(s):  
Instructional Design ◽  
Web 2.0 ◽  
Research Methods ◽  
Research Study ◽  
Academic Research ◽  
Research Articles ◽  
Educational Technologies ◽  
Just In Time ◽  
Effective Use ◽  
Made In

In the previous articles, we reported on the results of a multifaceted research study on how to benchmark and use emerging educational technologies. Our approach blended classic research methods with those used in market research studies. We gathered data and expertise from a variety of sources, including academic research articles, industry reports, interviews with leaders and national pacesetters, and the experiences of our own veteran staff. Our objective was to create a means by which decisions about affordances, constraints, and effective use could be made in a just-in-time fashion. We have only scratched the surface.

scholarly journals A Corpus-Driven Study of Terms Used to Refer to Articles and Methods in Research Abstracts in the Fields of Economics, Education, English Literature, Nursing, and Political Science

2021 ◽  
Vol 11 (3) ◽  
pp. 119
Author(s):  
Riyad F. Hussein ◽  
Ahmad S. Haider ◽  
Sa'ida Walid Al-Sayyed
Keyword(s):  
Graduate Students ◽  
Political Science ◽  
Research Methods ◽  
English Literature ◽  
Academic Research ◽  
Research Articles ◽  
Economics Education ◽  
Term Study ◽  
Corpus Linguistic ◽  
Five Disciplines

The present study attempts to identify the most frequent terms that are used in research abstracts relating to research articles designations, research methods, and research goals and quantify them in various disciplines, namely, economics, education, English literature, nursing, and political science to see whether there is a unique pattern characterizing terms peculiar to each of the five disciplines under investigation. It also explains why specific terms are overused/ underused by researchers. The current study follows a corpus-driven approach. For this purpose, we compiled a corpus of 2500 research abstracts from online refereed journals in the fields mentioned above. The corpus linguistic software program, AntConc (3.5.8), was used to analyze the collected data. The analysis revealed that some terms are more frequently used in some areas than others. For example, the term 'study' was the most common word to designate academic research. The most frequent term to refer to population and subject-related terms was 'sample/s,' while the least frequent was 'interviewee/s.' The words used to designate tools or instruments varied, with 'test' being the most frequent and 'checklist/s' the least. This study is of significant benefit for researchers in various disciplines. It acquaints them with terms used to designate articles in their respective fields, in addition to terms used most frequently to refer to sample- related terms and finally to words used for setting goals such as objectives, aims, and goals. This, in turn, can help researchers and graduate students embarking on writing their theses to opt for the most relevant terms peculiar to their disciplines. Unlike most studies that focused on developing academic word lists (AWL), this study set off with terms previously established and used in research bodies and research abstracts to unveil their popularity and the extent to which they are used in various discipline abstracts.   Received: 20 January 2021 / Accepted: 30 March 2021 / Published: 10 May 2021

scholarly journals Massive open online courses (MOOCS): systematic literature review in Malaysian higher education

2018 ◽  
Vol 7 (4) ◽  
pp. 2197 ◽  
Author(s):  
Waleed Al-Rahmi ◽  
Ahmed Aldraiweesh ◽  
Noraffandy Yahaya ◽  
Yusri Bin Kamin
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Qualitative Methods ◽  
Online Courses ◽  
Academic Research ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
Future Studies ◽  
Increasing Trend ◽  
Methodological Approaches

This study provided a systematic and organized review of 32 studies regarding using of Massive Open Online Courses (MOOCs) in Ma-laysian higher education from 2012 to 2017. This paper conducted an analysis of studies dedicated of using (MOOCs) for learning on the basis of certain dimensions namely, journal, country, author, year of publication, research methods, type of respondents, the models, and the theories. The findings obtained revealed that the interest on the topic has shown an increasing trend over recent years that it has ultimately become a well-known topic for academic research in the future. Nevertheless, to boost and enhance the using (MOOCs) for learning, it is important that future studies apply considerable use of theoretical and methodological approaches like the qualitative methods to examine the factors it will encourage students to use (MOOCs).  

scholarly journals Distinguishing between Theory, Theoretical Framework, and Conceptual Framework: A Systematic Review of Lessons from the Field

2018 ◽  
Vol 7 (6) ◽  
pp. 44 ◽  
Author(s):  
Charles Kivunja
Keyword(s):  
Systematic Review ◽  
Literature Review ◽  
Conceptual Framework ◽  
Research Methods ◽  
Systematic Literature Review ◽  
Academic Research ◽  
Theoretical Framework ◽  
Research Proposal ◽  
Research Project ◽  
Scholarly Literature

Across many years of teaching Research Methods and assessing many applications for admission into higher degree studies which require an understanding of theories, principles, strategies and skills needed to complete a higher degree such as a Masters or a PhD, one of the things I have found problematic for many students is the inability to articulate differences between theory, theoretical framework and a conceptual framework for a proposed research project. This paper uses experiential methodology to draw upon my experience in practice, and systematic literature review methodology to draw upon supporting scholarly literature by leaders in the field, to contribute to existing knowledge on the meaning of each of these concepts, and more importantly to distinguish between them in a study of Research Methods, and in particular as they relate to designing a research proposal and a thesis for a higher degree. The primary aim is to help the reader develop a firm grasp of the meaning of these concepts and how they should be used in academic research discourses. The review answers five questions. 1. What does each of these terms mean? 2. When and how should each be used? 3. What purposes does a theoretical framework serve? 4. How do you develop a theoretical framework for your research proposal or thesis? 5. What does a good theoretical framework look like?

scholarly journals PENGUKURAN CAPABILITY LEVEL TATA KELOLA DAN MANAJEMEN TI MENGGUNAKAN COBIT 5.0 PADA PT WELLCOMM RITELINDO PRATAMA

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Aditya Pratama ◽  
Deborah Herby
Keyword(s):  
Information Technology ◽  
Technology Management ◽  
Research Methods ◽  
Initial Level ◽  
It Management ◽  
Information Technology Management ◽  
The Future ◽  
Calculation Results ◽  
Level 1 ◽  
Capability Level

In this study, researchers wanted to find out the level of information technology in the company through measuring the capability level of governance and information technology management at PT Wellcomm Ritelindo Pratama using the COBIT 5.0 framework. There are 3 research methods used, that is: observation, interview, and checklist. The first is to hold discussions about the goals of PT Wellcomm Ritelindo Pratama based on enterprise goals in COBIT 5.0. The second is mapping the company goals / enterprise goals to the IT goals of the company / it goals. Third is to enter into the process in COBIT 5.0. From the calculation results obtained from the process questionnaire is to determine the capability level of the process (target maturity) and whether the process can continue until the last level (5) or must stop at the initial level (1). The final step is to provide recommendations based on the final capability level and target capability level (next level). The results of measuring capability capability management and IT management using COBIT 5.0 PT Wellcomm Ritelindo Pratama, found several weaknesses that must be a concern of management in the future. The recommendations given are based on two targets: the target is carried out fully, so that the company can carry out each activity and complete it so that it can be said that the activity is carried out fully, and the target to be able to move up to the next level.

scholarly journals The Future of Information Technology in Medicine

2020 ◽  
pp. 23-26
Author(s):  
Bekhruz Nazirzhonovich Urmanov
Keyword(s):  
Information Technology ◽  
Research Methods ◽  
The Future ◽  
Further Development

The article discusses integration of information technology, further development of innovative systems and their use in science and medicine. Constantly improving, these technologies allow to process significantly larger data volumes. This is possible due to integration and use of cutting-egde IT. In this sense, the theme of this article is considered relevant. The research methods used in this paper include analysis, synthesis, description and summarizing. The results of the study demonstrate very promising prospects for using IT in medicine, which calls for a timely integration of IT in this field.

Procurement Analytics: Enabling Data Architectures in the Age of Big Data

2020 ◽  
Author(s):  
Michael Goul ◽  
T. S. Raghu ◽  
Ziru Li
Keyword(s):  
Big Data ◽  
Academic Research ◽  
Research Literature ◽  
Structured Interviews ◽  
Data Space ◽  
Prescriptive Analytics ◽  
Data Architecture ◽  
The Future ◽  
High Level ◽  
Area Data

As procurement organizations increasingly move from a cost-and-efficiency emphasis to a profit-and-growth emphasis, flexible data architecture will become an integral part of a procurement analytics strategy. It is therefore imperative for procurement leaders to understand and address digitization trends in supply chains and to develop strategies to create robust data architecture and analytics strategies for the future. This chapter assesses and examines the ways companies can organize their procurement data architectures in the big data space to mitigate current limitations and to lay foundations for the discovery of new insights. It sets out to understand and define the levels of maturity in procurement organizations as they pertain to the capture, curation, exploitation, and management of procurement data. The chapter then develops a framework for articulating the value proposition of moving between maturity levels and examines what the future entails for companies with mature data architectures. In addition to surveying the practitioner and academic research literature on procurement data analytics, the chapter presents detailed and structured interviews with over fifteen procurement experts from companies around the globe. The chapter finds several important and useful strategies that have helped procurement organizations design strategic roadmaps for the development of robust data architectures. It then further identifies four archetype procurement area data architecture contexts. In addition, this chapter details exemplary high-level mature data architecture for each archetype and examines the critical assumptions underlying each one. Data architectures built for the future need a design approach that supports both descriptive and real-time, prescriptive analytics.

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