Penggunaan Elaboration Likelihood Model dalam Menganalisis Penerimaan Teknologi Informasi

This article discusses some technology acceptance models in an organization. Thorough analysis of how technology is acceptable help managers make any planning to implement new teachnology and make sure that new technology could enhance organization's performance. Elaboration Likelihood Model (ELM) is the one which sheds light on some behavioral factors in acceptance of information technology. The basic tenet of ELM states that human behavior in principle can be influenced through central route and peripheral route. The use of central route and peripheral route could be adapted to individual condititon in an organization so as to appropriate route selection could accomplish the goals of information technology application. Keywords: information technology, Elaboration Likelihood Model, acceptance leve

Evaluating m-government applications: an elaboration likelihood model framework

Mobile government application and services refer to governmental functions that are available to mobile devices, such as smart phones or personal digital assistants, to the users anytime/anywhere. M-Government and m-Participation are emergent concepts used to represent the evolving field of public administration functions provided as mobile services and the provision of participation to public consultations via mobile devices accordingly. In this paper we present an evaluation framework for m-government tools. The evaluation approach is grounded on the assumption that m-government tools should not only provide access to governmental information and functions, but they should also motivate users to participate to public policy making processes. The evaluation approach is based on the Elaboration Likelihood Model. Its novelty lies on a) its ability to capture the actual performance of a system instead of the users’ perceptions, and b) its capacity to assess the motivational and persuasive ability of a system.EU FP7 Marie Curie People Project “CEES - Citizen oriented Evaluation of E-Government Systems (reference IAPP-2008-230658) and EU FP7 Project “UbiPOL- Ubiquitous Participation Platform for Policy Making” (Reference INFSO-ICT-248010)

Menyoal Elaboration Likelihood Model (ELM) Dan Teori Retorika

: Persuasion is a communication process to establish or change attitudes, which can be understood through theory of Rhetoric and theory of Elaboration Likelihood Model (ELM). This study elaborates these theories in a Public Lecture series which to persuade the students in choosing their concentration of study. The result shows that in term of persuasion effectiveness it is not quite relevant to separate the message and its source. The quality of source is determined by the quality of the message, and vice versa. Separating the two routes of the persuasion process as described in the ELM theory would not be relevant

A randomized trial to determine the impact on compliance of a psychophysical peripheral cue based on the Elaboration Likelihood Model

Objective: Non-compliance in clinical studies is a significant issue, but causes remain unclear. Utilizing the Elaboration Likelihood Model of persuasion, this study assessed the psychophysical peripheral cue ‘Interactive Voice Response System (IVRS) call frequency’ on compliance. Methods: 71 participants were randomized to once daily (OD), twice daily (BID) or three times daily (TID) call schedules over two weeks. Participants completed 30-item cognitive function tests at each call. Compliance was defined as proportion of expected calls within a narrow window (± 30 min around scheduled time), and within a relaxed window (− 30 min to + 4 h). Data were analyzed by ANOVA and pairwise comparisons adjusted by the Bonferroni correction. Results: There was a relationship between call frequency and compliance. Bonferroni adjusted pairwise comparisons showed significantly higher compliance (p = 0.03) for the BID (51.0%) than TID (30.3%) for the narrow window; for the extended window, compliance was higher (p = 0.04) with OD (59.5%), than TID (38.4%). Conclusion: The IVRS psychophysical peripheral cue call frequency supported the ELM as a route to persuasion. The results also support OD strategy for optimal compliance. Models suggest specific indicators to enhance compliance with medication dosing and electronic patient diaries to improve health outcomes and data integrity respectively

The Effects of Recruitment Message Specificity on Applicant Attraction to Organizations

We used the elaboration likelihood model from marketing research to explain and examine how recruitment message specificity influences job seeker attraction to organizations. Using an experimental design and data from 171 college-level job seekers, the results showed that detailed recruitment messages led to enhanced perceptions of organization attributes and person-organization fit. Perceptions of fit were found to mediate the relationship between message specificity and intention to apply to the organization. In addition, perceptions of organization attributes and person-organization fit were found to influence intentions to apply under circumstances of explicit recruitment information while attractiveness and fit perceptions were shown to influence application intentions under conditions of implicit recruitment information. The theoretical and practical implications of these findings are discussed

Evaluating online review helpfulness based on Elaboration Likelihood Model: the moderating role of readability

It is important to understand factors affecting the perceived online review helpfulness as it helps solve the problem of information overload in online shopping. Moreover, it is also crucial to explore the factors’ relative importance in predicting review helpfulness in order to effectively detect potential helpful reviews before they exert influences. Applying Elaboration Likelihood Model (ELM), this study first investigates the effects of central cues (review subjectivity and elaborateness) and peripheral cues (reviewer rank) on review helpfulness with readability as a moderator. Second, it also explores their relative predicting power using the machine learning technique. ELM is tested in online context and the results are compared between experience and search goods. Our results provide evidence that for both types of products review subjectivity can play a more significant role when the content readability is high. Furthermore, this study reveals that the dominant predictor is varied for different product types

Congruency and Engagement Test in an Event Marketing Sponsorship Context

Intercept survey data collected at a medium-size Midwestern ethnic festival are used to assess how top-of-mind and aided brand recall are influenced by ethnic congruence among attendees, brand sponsors, and the event, and by the use of passive or engaging sponsor tactics. The results are contextualized by the Elaboration Likelihood Model. Attendees who identify as ethnically congruent are shown to perform significantly better on the aided brand recall instrument. Engaging tactics are shown to produce higher brand recall than passive tactics, as well as more favorable evaluations and higher purchase intent

A Review of Theoretical Perspectives Applied to Sales Promotion and a New Perspective based on Mental Accounting Theory

The paper reviews theoretical perspective applied to the study of consumer response to promotions. These include adaptation level theory, assimilation contrast theory, attribution theory, prospect theory, transaction utility theory, the elaboration likelihood model and the attitude model. It finds that these theoretical approaches have had a single product focus in evaluating consumer response to promotions. It suggests an alternative theoretical perspective to examine consumer response to promotion from a multi product perspective. This perspective is based on mental accounting theory, a behaviorally based model of choice. It is used to examine the psychological processes involved in creating a positive cross product impact of a promotion (i.e. increase in sale of regular priced products during a promotion).

Better Be Convincing or Better Be Stylish? a Theory Based Multi-Agent Simulation to Explain Minority Influence in Groups Via Arguments or Via Peripheral Cues

Very often in the history of mankind, social changes took place because a minority was successful in persuading the dominant majority of a new idea. Social psychology provides empirically well-founded theories of social influence that can explain the power of minorities at individual level. In this contribution, we present an agent-based computer simulation of one such theory, the Elaboration Likelihood Model (ELM). After introducing the theoretical background and our agent model, we present three simulation experiments that confirm past laboratory research but also go beyond its findings by adopting the method of computer simulation. First, we found that even a minority with low argument quality can be successful as long as it has positive peripheral cues. Second, our results suggest that a higher personal relevance of a topic for the majority led it to be more receptive to minority influence only when the minority showed neutral peripheral cues and very good arguments. Third, we found evidence that a neutral or only slightly biased majority is influenced more easily than a strongly biased one. To sum up, we consider these results to illustrate the notion that a well-presented, comprehensible and valid computer simulation provides a useful tool for theory development and application in an exploratory manner as long as it is well founded in terms of the model and theory.Social Influences, Persuasion Processes, Group Processes, Minority Influence, Computer Simulation, Modelling, Theory Verification, Simulation Experiments