Addressing User Resistance Would Have Prevented a Healthcare AI Project Failure

2020 ◽  
pp. 279-296 ◽  
Author(s):  
Lea Reis ◽  
◽  
Christian Maier ◽  
Jens Mattke ◽  
Marcus Creutzenberg ◽  
...  
2019 ◽  
Vol 47 (7) ◽  
pp. 1-10
Author(s):  
Shan Liu ◽  
Yajun Zhang ◽  
Kaili Li ◽  
Jing Tan

In this study we investigated how perceived switching costs and benefits influence user resistance as a major cause of information systems project implementation failure, from the perspectives of individual emotions and traditional values. We used structural equation modeling and hierarchical regression analysis to analyze data from 256 potential users of a new information system. Participants were employed by a telecom operator in China. Results indicated that positive emotions played a partial mediating role in the relationship between perceived switching costs and benefits and user resistance. Further, user traditionality moderated the influence of perceived switching costs and benefits on user resistance. These findings have theoretical implications and we suggest practical ways in which managers can alleviate user resistance.


2021 ◽  
Vol 36 (5) ◽  
pp. 106129
Author(s):  
Holger Patzelt ◽  
Leire Gartzia ◽  
Marcus T. Wolfe ◽  
Dean A. Shepherd

Author(s):  
Marcus Lindahl ◽  
Alf Rehn
Keyword(s):  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiju Antony ◽  
Bart A. Lameijer ◽  
Hans P. Borgman ◽  
Kevin Linderman

Purpose Although scholars have considered the success factors of process improvement (PI) projects, limited research has considered the factors that influence failure. The purpose of this paper is to extend the understanding of PI project failure by systematically reviewing the research on generic project failure, and developing research propositions and future research directions specifically for PI projects. Design/methodology/approach A systematic literature review protocol resulted in a total of 97 research papers that are reviewed for contributions on project failure. Findings An inductive category formation process resulted in three categories of findings. The first category are the causes for project failure, the second category is about relatedness between failure factors and the third category is on failure mitigation strategies. For each category, propositions for future research on PI projects specifically are developed. Additional future research directions proposed lay in better understanding PI project failure as it unfolds (i.e. process studies vs cross-sectional), understanding PI project failure from a theoretical perspective and better understanding of PI project failure antecedents. Originality/value This paper takes a multi-disciplinary and project type approach, synthesizes the existing knowledge and reflects upon the developments in the field of research. Propositions and a framework for future research on PI project failure are presented.


2017 ◽  
Vol 78 (10) ◽  
pp. 584-585 ◽  
Author(s):  
Jonathan KA Mills ◽  
Judy McKimm
Keyword(s):  

Author(s):  
Kalle Lyytinen ◽  
Paul Cule ◽  
Roy Schmidt ◽  
Mark Keil
Keyword(s):  

Author(s):  
Sam McLeod

Feasibility consists of inter-related questions. Often, organizations place a narrow technical focus on the technical feasibility of a preferred option (Lucae et al. 2014; Samset 2009). Hence, many frameworks, including TELOS, have been developed to encourage more holistic feasibility appraisal (Bause et al. 2014; Burch 1992). Poorly considered feasibility studies are a significant contributor to project failure, loss of reputation, lost opportunity, excess sunk costs, loss of morale, and litigation (see Sahu 2014).


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