How user personality and information characteristics influence the creative information quality on open innovation platforms: an elaboration likelihood model

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lixin Zhou ◽  
Zhenyu Zhang ◽  
Laijun Zhao ◽  
Pingle Yang
Keyword(s):  
Open Innovation ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Quality Information ◽  
High Quality ◽  
Content Type ◽  
Likelihood Model ◽  
High Quality Information ◽  
Information Characteristics

PurposeLarge volumes of users' creative information have rapidly become vital resources in the open innovation platforms, so it is crucial to identify high-quality information from massive creative information. However, the existing literature on the quality of creative information only focuses on the information characteristics or publishers' features.Design/methodology/approachIn this paper, the authors used the elaboration likelihood model to examine the joint effect of central route factors (information characteristics: timeliness, readability and sentiment) and peripheral route factors (source characteristics: personality traits, past successful experiences and social network location) on the quality of creative information. Furthermore, the author explored the moderating roles of companies' support between central and peripheral route factors on the quality of creative information. Finally, binary logistic regression was adopted to test the research hypotheses on the empirical data from Salesforce.FindingsThe results indicated that users with high extroversion, conscientiousness, social centrality and prior success rate tended to propose high-quality information. Meanwhile, information timeliness, readability and sentiment also negatively influence the quality of creative information.Originality/valueDifferent from previous studies, the study findings not only provide insights on identifying the quality of creative information from an information perspective, but also promotes the awareness of the intrinsic personality traits of information users and innovative support efforts by platforms and their managers.

Understanding online health community users' information adoption intention: an elaboration likelihood model perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tao Zhou
Keyword(s):  
User Behavior ◽  
Source Credibility ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Content Type ◽  
Peripheral Cues ◽  
Likelihood Model ◽  
Adoption Intention ◽  
Information Adoption ◽  
Central Cues

PurposeThe purpose of this research is to draw on the elaboration likelihood model (ELM) to examine users' information adoption intention in online health communities (OHC).Design/methodology/approachThe authors collected 350 valid responses using a survey and conducted the moderated regression analysis to examine the research model.FindingsThe results indicated that users' information adoption intention is influenced by both central cues (argument quality) and peripheral cues (source credibility and emotional support). In addition, self-efficacy moderates the effect of both central cues and peripheral cues on information adoption intention.Originality/valuePrevious research has focused on the effect of individual motivations such as reciprocity and benefits on user behavior, and has seldom disclosed the influencing process of external factors on OHC users' behavioral decision. This research tries to fill the gap by adopting ELM to uncover the mechanism underlying OHC users' information adoption.

Exploring online and offline shopping motivational values in Malaysia

2018 ◽  
Vol 30 (2) ◽  
pp. 352-379 ◽  
Author(s):  
Rachel Mei Ming Wong ◽  
Shiet Ching Wong ◽  
Guek Nee Ke
Keyword(s):  
Factor Analysis ◽  
Factor Model ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Age Group ◽  
Content Type ◽  
Societal Values ◽  
Gender And Age ◽  
Likelihood Model ◽  
Motivational Values

Purpose The purpose of this paper is to combine the elaboration likelihood model and hedonic/utilitarian values into a coherent model of shopping motivational values for online and offline Malaysian shoppers. Once these values were identified, they were compared to one another based on shopping channel, gender, and age group. Design/methodology/approach The Shopping Motivational Value Questionnaire was developed by the researcher after extensive literature review and measured the respondent’s perception toward shopping motivational values in both shopping channels. Data were collected from 306 Malaysians above the age of 21, and analyzed using exploratory factor analysis and pairwise t-test techniques. Findings The factor analysis revealed a three-factor model of shopping motivational values. Gratification Values were the most important to shoppers, followed by Essential and Societal Values. Shoppers perceived all these motivational values as important when shopping offline as compared to online, regardless of gender and age group. Research limitations/implications The results of the factor analysis revealed a three-factor model of shopping motivational values: Gratification Values which were the most important to shoppers, followed by Essential and Societal Values. These values were then compared to one another based on shopping channel, gender, and age group. Results indicate that shoppers perceived all these motivational values as important when shopping offline rather than online, regardless of gender and age group. Moreover, the perception of shoppers toward specific product categories and other shopping channels were not taken into account. Originality/value This study attempted to combine the elaboration likelihood model and hedonic and utilitarian values into a coherent model. A questionnaire was developed by the researcher with these two theoretical models as its foundation. Additionally, the shopping motivational values of this study have been formulated to be compatible to both shopping channels.

Dissuasion: the Elaboration Likelihood Model and young children

2016 ◽  
Vol 17 (3) ◽  
pp. 210-225 ◽  
Author(s):  
Anna R. McAlister ◽  
Danielle Bargh
Keyword(s):  
Visual Cues ◽  
Elaboration Likelihood Model ◽  
Elaboration Likelihood ◽  
Persuasive Messages ◽  
Breakfast Cereal ◽  
Content Type ◽  
Level Of Involvement ◽  
Persuasive Communications ◽  
Likelihood Model ◽  
Central Route

Purpose The Elaboration Likelihood Model (ELM) proposes two routes to persuasion – the central route (persuasion occurs via information) and the peripheral route (persuasion occurs via visual cues, attractive actors and other source characteristics). The central route is typically used for high-involvement decisions and the peripheral route is used in low involvement situations. The ELM has received extensive support when tested with adults; however, its ability to explain young children’s responses to persuasive communications has not been fully tested. Hence, the purpose of this research is to assess whether the standard tenets of the ELM apply to children’s processing of persuasive messages. Design/methodology/approach This study involved 84 preschool children, ages three to six. It used a 2 (involvement) × 2 (argument strength) × 2 (source attractiveness) design to test children’s responsiveness to advertisements for a novel breakfast cereal. Findings The findings suggest that children are naturally inclined to be persuaded by advertising messages, regardless of their level of involvement. It is the weak arguments and weak peripheral cues that dissuade children who are highly involved with a message. Originality/value This research makes an original contribution to the existing literature by testing the extent to which the ELM applies to children’s processing of persuasive advertisements. The finding that weak peripherals dissuade children from believing an ad’s message has strong implications for advertising practitioners.

Comprehending CSR messages: applying the elaboration likelihood model

2018 ◽  
Vol 23 (1) ◽  
pp. 17-34 ◽  
Author(s):  
Nicholas Browning ◽  
Osenkor Gogo ◽  
Marvin Kimmel
Keyword(s):  
Social Responsibility ◽  
Elaboration Likelihood Model ◽  
Experimental Manipulation ◽  
Elaboration Likelihood ◽  
Message Complexity ◽  
Organizational Image ◽  
Content Type ◽  
Likelihood Model ◽  
Cause Involvement ◽  
Corporate Social

Purpose Using the elaboration likelihood model as a framework, the purpose of this paper is to investigate the effects of cause involvement, ability to process, and motivation to process on consumer judgments of organizational image following exposure to a corporate social responsibility (CSR) message. Design/methodology/approach This study relies upon an experimental manipulation of message complexity and uses quantitative survey data. The data were analyzed via tests of means differences, hierarchical multiple OLS regression, and mediation analysis. Findings The authors found that CSR’s influence on image is unaffected by message complexity – at least directly. However, CSR’s influence on image is intensified by greater cause involvement and information processing ability, which indicates that central route processing is more likely to move the needle on such assessments. Additionally, involvement serves as an important mediator on the effects that ability and motivation to process have on ratings of organizational image. Originality/value The findings suggest the necessity for communicators of CSR to foster cause involvement in consumers if social responsibility efforts are to resonate and garner positive results. Additionally, should organizations wish to create deeper elaboration about CSR messages among consumers, simple, straightforward messaging appears most effective. Complex messages can, however, serve as valuable peripheral cues among certain audiences.

COVID-19 pandemic: consumers' purchase intention of indoor fitness products during the partial lockdown period in Singapore

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Heetae Cho ◽  
Weisheng Chiu
Keyword(s):  
Data Analysis ◽  
Purchase Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Elaboration Likelihood ◽  
Content Type ◽  
Argument Quality ◽  
Likelihood Model ◽  
Sport Consumer Behavior

PurposeThe study aims to explore how the perception of coronavirus disease 2019 (COVID-19) affects argument quality of advertisement, attitude and purchase intentions of the indoor fitness products based on the elaboration likelihood model (ELM). Moreover, the moderating effect of exercise involvement was examined.Design/methodology/approachA total of 283 consumers in Singapore were recruited during the partial lockdown period. Data analysis was employed using the partial least squares structural equation modeling (PLS-SEM).FindingsThe results of data analysis showed that perception of COVID-19 affected argument quality of advertisement, attitude and purchase intention of indoor fitness products. Meanwhile, argument quality resulted in a favorable attitude toward indoor fitness products, which, ultimately, led to the purchase intention. In addition, exercise involvement positively moderated the influence of argument quality on attitude.Originality/valueThe findings provide implications for businesses and researchers to understand sport consumer behavior during the COVID-19 pandemic.

Consumer-brand identity and online advertising message elaboration

2020 ◽  
Vol 14 (1) ◽  
pp. 111-132
Author(s):  
Kenneth Wilson Graham ◽  
Kelly M. Wilder
Keyword(s):  
Purchase Intention ◽  
Online Advertising ◽  
Elaboration Likelihood Model ◽  
Brand Identity ◽  
Elaboration Likelihood ◽  
Brand Identification ◽  
Content Type ◽  
Brand Advertising ◽  
Dependent Variables ◽  
Likelihood Model

Purpose The purpose of this paper is to use social identity theory and the elaboration likelihood model to explore differences in consumer response to positive and negative online brand advertising based on the degree to which the consumer identifies with the brand featured in the ad. Dependent variables include attitude toward the ad, attitude toward the brand, willingness to share the ad and purchase intention. Design/methodology/approach This study uses a posttest-only, 2 (low consumer–brand identification v. high consumer–brand identification) × 2 (negative advertisement v. positive advertisement) between-subjects factorial design for two separate brands based on the pretest results. Findings Results show, in support of extant research, that consumer–brand identification enhances consumer perceptions of positive brand advertising. In addition, this research shows that consumer–brand identification also minimizes the potentially detrimental effects of negative advertisements on the dependent variables. Further, results suggest that those with a low consumer–brand identification are more likely to share negative online brand advertising. Practical implications Building consumer–brand identification among target consumers results in positive brand attitudes and behaviors while at the same time shielding brands from negative online attack advertising. However, consumers with weak consumer–brand identification can be influenced through peripheral cues in online ads. This research indicates that managers need to focus on strengthening consumer–brand identity with target audiences and closely monitor negative online sentiment. Originality/value This exploratory research extends current consumer–brand relationship scholarship and adds support for application of the elaboration likelihood model in an online environment. To the best of the authors’ knowledge, this study is the first to examine the role of consumer–brand identity and its role in explaining consumer responses to online display advertising.

An investigation of the persuasive effects of firm-consumer communication dyads using Facebook

2015 ◽  
Vol 7 (3) ◽  
pp. 295-313 ◽  
Author(s):  
Morgan Atwood ◽  
Cristian Morosan
Keyword(s):  
Social Media ◽  
Source Credibility ◽  
Hotel Industry ◽  
Elaboration Likelihood Model ◽  
Decision Makers ◽  
Elaboration Likelihood ◽  
Online Information ◽  
Content Type ◽  
Likelihood Model ◽  
Effective Use

Purpose – This paper aims to provide a deeper understanding of the effective use of Facebook within the hotel industry. It explored which current Facebook practices are effective/persuasive using the elaboration likelihood model (ELM) as the main theoretical foundation. Design/methodology/approach – Using an experimental design, the effects of consumers’ exposure to treatments, involving different levels of elaboration and source credibility, were examined to determine whether consumer’s process information from Facebook communication through a central or peripheral route. Findings – The results of this research showed that consumer attitudes are affected by the source credibility, but not by the level of elaboration. Also, intentions to stay at the hotel and intentions to engage with the hotel brand via social media were not affected by the level of elaboration or source credibility. Research limitations/implications – This study presents an important step forward in understanding how consumer persuasion takes place in an online environment. Also, this paper provides a first-hand account of the manner in which social media adds value to a business organization. In addition, this paper provides insight on how consumers process online information. Originality/value – As this is the first conceptualization of the ELM in a social media context, this study is uniquely able to explain the concept of persuasion in the hotel industry. Such knowledge is invaluable to academics and hotel decision makers, especially because the research provides specific insights on the manner in which attitudes change in consumers.

scholarly journals Focus maps: a means of prioritizing data collection for efficient geo-risk assessment

2015 ◽  
Vol 58 (1) ◽  
Author(s):  
Massimiliano Pittore
Keyword(s):  
Risk Assessment ◽  
Data Collection ◽  
Spatial Sampling ◽  
Quality Information ◽  
High Quality ◽  
Hazard Exposure ◽  
Use Of Time ◽  
Central Asian ◽  
High Quality Information

<p class="western" style="margin-bottom: 0in; line-height: 150%;"> </p><p>Efficient Disaster Risk Reduction (DRR) management constantly calls upon high-quality information to be collected or updated for vulnerability monitoring and risk assessment. This process is often resource- and time-intensive, which many economically developing states (including most Central Asian countries) can seldom afford. In this paper, we introduce the concept of focus maps as a useful tool to quantify the spatial probability of sampling. Focus maps allow for a data collection prioritization scheme to be put in place, enabling the realization of optimized spatial sampling which assigns a higher priority to locations where the need for high-quality information is greater. In practice, smaller samples can be drawn with the same (or better) resulting accuracy of the estimates, resulting in a more efficient use of time and resources. The factors that affect such a spatial sampling scheme include the usual components of risk assessment (hazard, exposure, vulnerability) where available, as well as other potentially critical factors, such as the extent and quality of previously collected data. The practical application of the proposed approach to the case of Central Asia will be exemplified and discussed.</p><p class="western" style="margin-bottom: 0in; line-height: 150%;"><span style="color: #000000;"><br /></span></p>

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