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Inducing Intrinsic Motivation to Explore the Enterprise System: The Supremacy of Organizational Levers

2012 | Journal of Management Information Systems | Citations: 48
Authors: Ke, Weiling; Tan, Chuan-Hoo; Sia, Choon-Ling; Wei, Kwok-Kee

Abstract: The adoption of an organization-wide system, such as an enterprise system (ES), ... Expand

Abstract: The adoption of an organization-wide system, such as an enterprise system (ES), has often been mandated by organizational management, which may not necessarily motivate users to proactively explore the system's features and subsequently apply pertinent features that best support their job tasks. Anchoring on self-determination theory, this research investigates the antecedents and consequences of users' intrinsic motivation to explore ES features. We propose two organizational levers (i.e., autonomous job design and socialization tactics) that the management could exercise to trigger intrinsic motivation, thereby leading to improved ES feature exploration. Intrinsic motivation is manifested by hedonic motivation and normative motivation, whereas ES feature exploration is conceptualized as a dual-dimensional outcome reflected by cognitive behavior (exploratory usage) and positive affect (exploration satisfaction). Through a two-stage survey of 127 organizational users in China, we find general support for our research model. We further observe significant moderating effects of prevention focus on the association between organizational levers and intrinsic motivations. Beyond demonstrating how organizational users respond to different organizational levers, this research examines a broader, enduring challenge, which is to determine how organizational users can be induced to be intrinsically inspired to innovatively harness implemented information systems. Collapse

Semantic filters: predictive validity random sampling systems implementation data collection method

Topics: intrinsic motivation information system use self efficacy technology diffusion systems implementation

Methods: survey data transformation theoretical contribution factor analysis theory development

Theories: creativity theory regulatory focus theory self determination theory
User Acceptance of Information Technology: Toward a Unified View

2003 | Management Information Systems Quarterly | Citations: 5449
Authors: Venkatesh, Viswanath; Morris, Michael G.; Davis, Gordon B.; Davis, Fred D.

Abstract: Information technology (IT) acceptance research has yielded many competing model ... Expand

Abstract: Information technology (IT) acceptance research has yielded many competing models, each with different sets of acceptance determinants. In this paper, we (1) review user acceptance literature and discuss eight prominent models, (2) empirically compare the eight models and their extensions, (3) formulate a unified model that integrates elements across the eight models, and (4) empirically validate the unified model. The eight models reviewed are the theory of reasoned action, the technology acceptance model, the motivational model, the theory of planned behavior, a model combining the technology acceptance model and the theory of planned behavior, the model of PC utilization, the innovation diffusion theory, and the social cognitive theory. Using data from four organizations over a six-month period with three points of measurement, the eight models explained between 17 percent and 53 percent of the variance in user intentions to use information technology. Next, a unified model, called the Unified Theory of Acceptance and Use of Technology (UTAUT), was formulated, with four core determinants of intention and usage, and up to four moderators of key relationships. UTAUT was then tested using the original data and found to outperform the eight individual models (adjusted R[sup 2] of 69 percent). UTAUT was then confirmed with data from two new organizations with similar results (adjusted R[sup 2] of 70 percent). UTAUT thus provides a useful tool for managers needing to assess the likelihood of success for new technology introductions and helps them understand the drivers of acceptance in order to proactively design interventions (including training, marketing, etc.) targeted at populations of users that may be less inclined to adopt and use new systems. The paper also makes several recommendations for future research including developing a deeper understanding of the dynamic influences studied here, refining measurement of the core constructs used in UTAUT, and understanding the organizational outcomes associated with new technology use. Collapse

Semantic filters: predictive validity random sampling systems implementation data collection method

Topics: social influence information system use behavioral intention self efficacy user acceptance

Methods: partial least squares regression statistical power analysis longitudinal research survey statistical hypothesis test

Theories: unified theory of acceptance and use of technology technology acceptance model TAM2

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Inducing Intrinsic Motivation to Explore the Enterprise System: The Supremacy of Organizational Levers

User Acceptance of Information Technology: Toward a Unified View