A Critical Review of Theories and Models of Technology Adoption and Acceptance in Information System Research

2015 ◽  
Vol 6 (4) ◽  
pp. 58-77 ◽  
Author(s):  
Ali Tarhini ◽  
Nalin Asanka Gamagedara Arachchilage ◽  
Ra'ed Masa'deh ◽  
Muhammad Sharif Abbasi
Keyword(s):  
Information System ◽  
Technology Adoption ◽  
Environmental Factors ◽  
Critical Review ◽  
Predictive Power ◽  
Theoretical Models ◽  
System Research ◽  
Information System Research ◽  
Individual Level ◽  
The Individual

Previous research shows that selecting an appropriate theory or model has always remained a critical task for IS researchers. To the best of the authors' knowledge, there are few papers that review and compare the acceptance theories and models at the individual level. Hence, this article aims to overcome this problem by providing a critical review of eight of the most influential theories that have been used to predict and explain human behaviour towards adoption of various technologies at the individual level. This article also summarizes their evolution; highlight the key constructs, extensions, strengths, and criticisms from a selective list of published articles appeared in the literature related to IS. This review provides a holistic picture for future researchers in selecting appropriate single/multiple theoretical models/constructs based on their strengths and weaknesses and in terms of predictive power and path significance. It is concluded that a well-established theory should consider the personal, social, cultural, technological, organizational and environmental factors

Leadership Enactment for Information System Acceptance: an Explanation from a Sensemaking Perspective

2019 ◽  
pp. 78-106
Author(s):  
Aruna Dayanatha ◽  
J A S K Jayakody
Keyword(s):  
Information System ◽  
User Involvement ◽  
High Rate ◽  
Is Success ◽  
Managerial Leadership ◽  
Individual Level ◽  
System Acceptance ◽  
The Individual ◽  
Leadership Intervention ◽  
Is Failure

Information system (IS) projects have been seen to be failing at an alarmingly high rate. The prevailing explanations of IS failure have had only a limited success. Thus, the time may be right to look at the reasons for IS failure through an alternative perspective. This paper proposes that IS success should be explained in terms of managerial leadership intervention, from the sensemaking perspective. Managers are responsible for workplace outcomes; thus, it may be appropriate to explain their role in IS success as well. The sensemaking perspective can explain IS success through holistic user involvement, a concept which critiques of existing explanations have stated to be a requirement for explaining IS failure. This paper proposes a framework combining the theory of enactment and leadership enactment to theorize managerial leadership intervention for “IS success.” The proposed explanation postulates that the managerial leader’s envisioning of the future transaction set influences the liberation of the follower and cast enactment, while liberating followers and cast enactment constitute manager sensegiving. The managerial leader’s sense-giving influences follower sensemaking. Follower sensemaking, under the influence of managerial sensegiving, will lead to followers’ IS acceptance, and that constitutes IS success at the individual level. Further, collective level IS acceptance constitutes IS adaption/success, and this will influence the leader’s sensegiving, for the next round of sensemaking.

scholarly journals Empirical examination of decision making core technology adoption theory to explain youth preferences for HIV preventive actions

2014 ◽  
Author(s):  
◽  
Njabulo Samson Melusi Shongwe
Keyword(s):  
Decision Making ◽  
Information System ◽  
Technology Adoption ◽  
Predictive Power ◽  
Core Model ◽  
Adoption Theory ◽  
Preventive Actions ◽  
Core Technology ◽  
The Relationship ◽  
Action Intention

This study reports on the application of decision making core technology adoption theory to empirically examine youth preferences for Human Immunodeficiency Virus (HIV) preventive actions. In order to contribute to the open discourse on whether technology adoption rate is higher for male or female, goal desire, goal intention, action desire and action intention elements of decision making core theory were tested. A mobile health information system was implemented as an HIV information disseminating tool and used for experimentation to determine adoption by youths. A dataset of 118 pupils from two high schools was used for pilot investigation. A dataset of 292 undergraduate youths aged 10-24 years from two universities in South Africa was generated to validate the research model. The Partial Least Square (PLS) analytic modelling technique was used to determine the predictive power of decision making core model from the input dataset. Results of experimentation show that regardless of the gender youth accepts to use mobile information system to access HIV information. The predictive power of the decision making core model was found to be independent of gender factor, which was also not found to moderate the relationship between Perceived Behavioural Control (PBC) and action intention. In addition, gender was not found to moderate the order of importance in factors that predict youth preferences for HIV preventive action. PBC, action desire and goal desire were selected as the most important predictors of HIV preventive actions. The factor of action desire was found to mediate the relationship between PBC and action intention such that the mediation effect was stronger for male youth (68%) than for female youth (19%). Finally, the decision making core model better predicted youth preferences for HIV preventive actions as compared to two models based on Theory of Reason Action (TRA) and Theory of Planned Behaviour (TPB)

The future is now: calling for a focus on temporal issues in information system research

2021 ◽  
Vol 121 (1) ◽  
pp. 30-47
Author(s):  
Viswanath Venkatesh ◽  
Tracy Ann Sykes ◽  
Ruba Aljafari ◽  
Marshall Scott Poole
Keyword(s):  
Information System ◽  
Design Methodology ◽  
Empirical Studies ◽  
Theory Development ◽  
Social Contexts ◽  
System Research ◽  
Dynamic Nature ◽  
Content Type ◽  
Information System Research ◽  
Study Designs

PurposeAs information systems (IS) phenomena continue to emerge and evolve in our ever-changing economic and social contexts, researchers need to increase their focus on time in order to enrich our theories. The purpose of this paper is to present broad suggestions for IS researchers about how they can direct some of their research efforts to consider, conceptualize and incorporate time into research endeavors and how they might be mindful about considering and specifying time-related scope conditions of their research efforts.Design/methodology/approachThe authors synthesize empirical studies and discuss three distinct yet related frameworks of time and the benefits they can provide. The authors choose two research streams that reflect dynamic economic and social contexts – namely, enterprise systems and social networks – to illustrate how time and frameworks of time can be leveraged in our theory development and research design.FindingsThe authors demonstrate that limited research in IS has incorporated a rich conceptualization and/or discussion of time. The authors build on this gap to highlight guidelines that researchers can adopt to enrich their view of time.Originality/valueGiven the dynamic nature of IS phenomena and the increased availability of longitudinal data, the authors’ suggestions aim to urge and guide IS researchers about ways in which they can incorporate time into their theory and study designs.

Ubiquitous Learning Supporting Systems

2015 ◽  
pp. 202-225
Author(s):  
Elena B. Durán ◽  
Margarita Álvarez
Keyword(s):  
Information System ◽  
State Of The Art ◽  
The State ◽  
System Research ◽  
Ubiquitous Learning ◽  
Information System Research ◽  
The Future ◽  
National University ◽  
The Right ◽  
Research Institute

Ubiquitous learning features intuitive ways of identifying appropriate learning collaborators and right learning contents and services at the right place and at the right time. Consequently, there are many aspects that must be considered in designing computing applications that support this kind of learning. In this chapter, ubiquitous learning is introduced and characterized, the challenges that must be faced by those in charge of designing and developing such applications are reviewed, and the state of the art of this recently initiated line of research at the Informatics and Information System Research Institute of the National University of Santiago del Estero are presented. The developments achieved to date as well as the future guidelines are also shown.

Levels of Aggregation in Conjoint Analysis: An Empirical Comparison

1980 ◽  
Vol 17 (4) ◽  
pp. 516-523 ◽  
Author(s):  
William L. Moore
Keyword(s):  
Conjoint Analysis ◽  
Predictive Power ◽  
Aggregate Level ◽  
Segmentation Method ◽  
Empirical Comparison ◽  
Individual Level ◽  
Aggregate Analysis ◽  
The Individual ◽  
Level Analysis

Two segmented methods of performing conjoint anal/sis, clustered and componential segmentation, are compared with each other as well as with individual level and totally aggregate level analyses. The two segmented methods provide insights to the data that (1) are not obtainable at the aggregate level and (2) are in a form that is more easily communicated than the information from the individual level analysis. The predictive power of the clustered segmentation method is higher than that of componential segmentation, and both are superior to the aggregate analysis but inferior to individual level analysis.

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