The Impact of Gartner’s Maturity Curve, Adoption Curve, Strategic Technologies on Information Systems Research, with Applications to Artificial Intelligence, ERP, BPM, and RFID

2009 ◽  
Vol 6 (1) ◽  
pp. 45-66 ◽  
Author(s):  
Daniel E. O’Leary

ABSTRACT: How does technology maturity and adoption affect samples, research issues, and use of methodologies in information systems? What is a source of some research issues in strategic and emerging technologies? This paper addresses these questions and others using some frameworks generated by a well-known corporate research group. Gartner Group has been an icon to its corporate clients. However, Gartner has received only limited attention by academics. This paper examines three related frameworks used by Gartner for analyzing information systems (IS) and accounting information systems (AIS) research. Although researchers have previously examined the adoption curve, they generally have ignored the impact of the technology maturity curve and the interaction of the two curves. The paper generates a number of findings, including the finding that where a technology is on the maturity curve limits and facilitates the type of research questions that can be addressed regarding that technology. In addition, Gartner’s “strategic technologies” can provide a basis for understanding which technologies are likely to be appropriate for analysis by researchers.

Author(s):  
M. Gordon Hunter

The purpose of this chapter is to provide the researcher, who already is inclined to apply qualitative research, with an overview of methods. A representative sample of qualitative research methods is presented, which may be employed when conducting information systems research. These methods include Action Research, Case Study, Ethnography, Grounded Theory, and Narrative Inquiry. Examples of these research methods are also included, which provide a description of the method and references to more detailed presentations. Researchers should thoroughly explore these methods and become fully cognizant of when to appropriately apply each method. It is important to ensure that the chosen method addresses the research questions and supports the research objectives.


Author(s):  
Beatriz Forés ◽  
Rafael Lapiedra ◽  
José-María Fernández-Yáñez

There is a generalised consensus on the notable role that information systems and technologies (IS/IT) play in organisational performance. This evidence has been widely explored and recognised by both business practice and academia; as a result, the literature on information systems has acquired considerable relevance in the field of business administration due to its major role in the strategic process. In order to observe the impact of information systems research on the scientific community, we carried out a bibliometric study based on an analysis of the concurrences of the key words used in publications on the subject. This type of quantitative analysis can reveal the structure that supports a certain topic in a discipline and its evolution, as well as the most relevant related concepts. Specifically, six theoretical clusters were observed and defined: 1) data analytics, 2) electronic intra and inter-organisational exchanges, 3) dynamic capabilities, 4) geographical agglomerations, sustainability and tourism, 5) ERP, and 6) quality.


2009 ◽  
pp. 1822-1834
Author(s):  
Leigh Jin ◽  
Daniel Robey ◽  
Marie-Claude Boudreau

Open source software has rapidly become a popular area of study within the information systems research community. Most of the research conducted so far has focused on the phenomenon of open source software development, rather than use. We argue for the importance of studying open source software use and propose a framework to guide research in this area. The framework describes four main areas of investigation: the creation of OSS user communities, their characteristics, their contributions and how they change. For each area of the framework, we suggest several research questions that deserve attention.


2019 ◽  
Vol 04 (02) ◽  
pp. 1950001 ◽  
Author(s):  
Anjee Gorkhali ◽  
Li Da Xu

Systems theory is one of the most important and well-used concept to explain the phenomenon in social sciences. Therefore, systems science plays an important role in explaining many of the phenomena in information systems research. Enterprise Systems (ES), Enterprise Information Systems (EIS) and Enterprise Architecture (EA) are three such emerging technologies in which systems’ perspective plays an important role in explaining the growth and development of these technologies. However, there is lack of literature that illustrates the development and the impact of systems science in these three technologies. This research carefully collects and studies 106 existing literature in the field of ES, EA and EIS, and a summary review of all the latest developments in the ways systems theory has been implemented to these three fields as well as different areas of these three technologies. In the conclusion, three future trends are concluded from the review.


2020 ◽  
Vol 17 (3) ◽  
pp. 171-178 ◽  
Author(s):  
Reem Solaimani ◽  
Fatima Rashed ◽  
Shahad Mohammed ◽  
Walaa Wahid ElKelish

This paper investigates the relationship between artificial intelligence (AI) and corporate control in the United Arab Emirates (UAE) emerging market. An exploratory study was conducted to derive the research questions. The nonprobability purposive sampling technique was implemented to select 10 highly experienced interviewees. In-depth primary data was collected through semi-structured interviews during 2019. Qualitative content analysis was used to answer the research questions. The results show a positive impact of AI on firm productivity and the auditing process, but uncertain influence on accounting information systems. More specifically, AI intervention increases firm productivity, creates new jobs and speeds up work processes. However, current AI technology is less likely to redefine auditing roles and still insufficient for developing accounting information systems. Human integration with AI systems will lead to more efficient results. This paper increases our understanding of how AI techniques can improve corporate control practices and the importance of selecting appropriate accounting professionals to decrease AI operation risks.


2018 ◽  
Vol 15 (2) ◽  
pp. 27-44
Author(s):  
Martin M. Weisner

ABSTRACT This article presents a selection of sociological theories and concepts with potential for application by researchers interested in audit firm teams consisting of, or including, IT specialists and the technologies supporting those teams. A framework structured around intragroup collaboration, intergroup collaboration, and team control is presented, along with a series of research questions that link sociological perspectives with accounting research. The study is motivated by calls for expansion of theoretical perspectives through which accounting research can be approached, and aims to assist researchers in addressing the scarcity of sociologically informed inquiry in the domain of group processes, team dynamics, and related team management concerns.


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