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

Author(s):  
Daniel E. O'Leary
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):  
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.


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.


2021 ◽  
Author(s):  
Shengnan Han ◽  
◽  
Shahrokh Nikou ◽  

t Information and communication technologies (ICTs) must be designed and used for humane ends. The rapid adoption of Artificial Intelligence (AI) has raised the critical question of whether we can ensure AI's alignment with human values to guide its design and use. We perform a selective literature review with the specific search terms of the papers published in the top information systems (basket of 8 journals and 5 AIjournals in IS) from 2000-2020 to answer this question. The findings indicate that IS research has contributed insufficiently to a deeper understanding of human values and AI value alignment principles. Moreover, the mainstream IS research on AI is mostly dominated from its technical and managerial aspects. Thus, the future research agendas are proposed accordingly. The paper provides some food for thoughts in studying human values and AI alignment within the context of IS research.


Author(s):  
Carla Wilkin

An enduring question in information systems research and practice concerns evaluation of the impact of information systems (IS). It endures, as to date there is no ready solution. Focusing on one aspect, measuring IS success or effectiveness, there are ranges of measures available. At one end of the scale we have perceptual measures like use and user satisfaction; somewhere along that scale we have the more objective measures like quality; whilst at the other end we have objective measures like increased market share, price recovery and increased product quality.


2021 ◽  
Vol 30 (01) ◽  
pp. 134-140
Author(s):  
W. O. Hackl ◽  
A. Hoerbst ◽  

Summary Objective: In this synopsis, we give an overview of recent research and propose a selection of best papers published in 2020 in the field of Clinical Information Systems (CIS). Method: As CIS section editors, we annually apply a systematic process to retrieve articles for the International Medical Informatics Association Yearbook of Medical Informatics. For seven years now, we use the same query to find relevant publications in the CIS field. Each year we retrieve more than 2,400 papers which we categorize in a multi-pass review to distill a preselection of 15 candidate papers. External reviewers and yearbook editors then assess the selected candidate papers. Based on the review results, the IMIA Yearbook editorial board chooses up to four best publications for the section at a selection meeting. To get an overview of the content of the retrieved articles, we use text mining and term co-occurrence mapping techniques. Results: We carried out the query in mid-January 2021 and retrieved a deduplicated result set of 2,787 articles from 1,135 different journals. We nominated 15 papers as candidates and finally selected four of them as the best papers in the CIS section. As in the previous years, the content analysis of the articles revealed the broad spectrum of topics covered by CIS research. Thus, this year we could observe a significant impact of COVID-19 on CIS research. Conclusions: The trends in CIS research, as seen in recent years, continue to be observable. What was very visible was the impact of the Corona Virus Disease 2019 (COVID-19) pandemic, which has affected not only our lives but also CIS.


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