scholarly journals Impact of Mobile Ad Wearout on Consumer Irritation, Perceived Intrusiveness, Engagement, and Loyalty

2021 ◽  
Vol 33 (3) ◽  
pp. 69-84
Author(s):  
Ahmad A.M. Alwreikat ◽  
Husam Rjoub
Keyword(s):  
Social Media ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Smart Devices ◽  
Consumer Loyalty ◽  
End User ◽  
Consumer Engagement ◽  
Mobile Interaction

Mobile and smart devices provide a platform for firms/brands to communicate directly with past, present, or potential consumers (via online pop-ups, sponsored ads, ads on social media messengers, timelines, walls, etc.). Existing research on human-mobile interaction and end-user mobile management only highlights the positive fronts of repetitive exposures to mobile ads, ignoring the negative. The present study examines the effects of mobile ad wearout on irritation, intrusiveness, engagement, and loyalty via social media outlets. Survey data were solicited from consumers in Jordan, and the partial least squares structural equation modeling (PLS-SEM) technique was applied. Results show that mobile ad wearout is a strong determinant for increased consumer irritation and perceived intrusiveness. Intrusiveness resulted in lower levels of consumer engagement and higher levels of consumer loyalty. Irritation resulted in lower levels of consumer engagement; no changes were observed in consumer loyalty. This study shows managers how mobile ad wearout causes irritation and intrusiveness, which diminishes consumer engagement and loyalty. In essence, managers can gain insights on the positive and negative outcomes of mobile ad wearout. Implications for theory and practice are discussed.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

scholarly journals Blockchain Technology for Winning Consumer Loyalty: Social Norm Analysis Using Structural Equation Modeling

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 532
Author(s):  
María de los Ángeles Pérez-Sánchez ◽  
Zhuowei Tian ◽  
Almudena Barrientos-Báez ◽  
José Gómez-Galán ◽  
Hanliang Li
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Social Exchange ◽  
Local Governments ◽  
Structural Equation ◽  
Social Norm ◽  
New Technologies ◽  
Equation Modeling ◽  
Consumer Loyalty ◽  
Blockchain Technology

Remarkable changes have taken in social operation mode and consumers’ behavior mode because of the foot ban during the pandemic spread of COVID-19. Digital technologies such as Blockchain have shown potential in gaining competitive advantages for enterprises in such situations. This study aims to provide an insight into how to gain consumer loyalty through the use of modern and efficient Blockchain technology. In contrast to the current literature, this study combined the technology acceptance model of planned behavior theory, social exchange theory to explain the loyalty of an online travel agency (OTA) consumer. A self-administered questionnaire was used to collect data from citizens in Hangzhou, a city full of technological innovation atmosphere. Using structural equation modeling with SmartPLS©, responses from 1403 citizens were analyzed. Social norm was discovered to have a positive and significant association with the consumers’ attitude toward technology and thus enhancing the perceived usability and hedonism of OTA application, which can increase consumer loyalty. The findings suggested OTAs may gain consumers’ loyalty through adopting Blockchain technology, and local governments have played a key role in creating such an environment. New technologies have become essential professional and social tools for society. The technological environment and Blockchain within the tourism sector are fundamental elements of China’s economic engine.

scholarly journals The Relationship of Sustainability Communication on Social Media with Banking Consumers’ Loyalty through e-WOM

2021 ◽  
Vol 13 (7) ◽  
pp. 3832
Author(s):  
Gao Wei ◽  
Wang Lin ◽  
Wu Yanxiong ◽  
Yan Jingdong ◽  
Sadik Yusuf Musse
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Positive Emotions ◽  
Banking Sector ◽  
Equation Modeling ◽  
Consumer Loyalty ◽  
Csr Communication ◽  
Prior Literature ◽  
Corporate Social ◽  
The Impact

Prior literature has largely addressed corporate social responsibility (CSR) from outcomes related to organizational themes. However, its importance for achieving consumer-related outcomes is something that has been largely ignored by contemporary researchers. Likewise, how CSR communication through social media can create positive emotions on the part of consumers has to date been under-explored. Hence, the present study aims to fill these gaps by investigating the impact of CSR communication of an organization through social media on consumer loyalty. The study also proposes electronic word of mouth (e-WOM) as a potential mediator between this relationship. The proposed model of the present study was tested in the banking sector of a developing country. The data were collected from a self-administered questionnaire and analyzed through the structural equation modeling technique (SEM). The results of the present study validated that CSR communication of a bank through social media directly and indirectly, through e-WOM, influences consumer loyalty in a positive manner. The results of the present study will be helpful for policymakers to better understand how well-planned CSR communication of an organization on social media can lead towards better consumer-related outcomes such as consumer loyalty and e-WOM.

Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mazzini Muda ◽  
Muhammad Iskandar Hamzah
Keyword(s):  
Social Media ◽  
Structural Equation Modeling ◽  
Purchase Intention ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Source Credibility ◽  
Equation Modeling ◽  
Content Type ◽  
The Social ◽  
The Impact

PurposeIn spite of the increasing organic and interactive marketing activities over social media, a general understanding of the source credibility of voluntary user-generated content (UGC) is still limited. In line with the social identity theory, this paper examines the effects of consumers' perceived source credibility of UGC in YouTube videos on their attitudes and behavioral intentions. Additionally, source homophily theory is included to predict the antecedent of source credibility.Design/methodology/approachThree hundred and seventy two Generation Y respondents were interviewed using snowball sampling. Data were analyzed with component-based structural equation modeling technique of partial least squares-structural equation modeling (PLS-SEM).FindingsFindings confirmed that perceived source credibility indirectly affects purchase intention (PI) and electronic word-of-mouth via attitude toward UGC. Besides, perceived source credibility mediates the effect of perceived source homophily on attitude toward UGC.Practical implicationsSince today's consumers have begun to trust and rely more on UGC than company-generated content on social media when making purchase decisions, companies may reconsider democratizing certain aspects of their branding strategies. Firms may fine-tune their marketing communication budgets – not only just by sponsoring public figures and celebrities but also by nurturing coproductive engagements with independent content creators who are ordinary consumers. Endowed with their imposing credibility, these micro-influencers and prosumers have high potentials to be uplifted to brand ambassadors.Originality/valueWhile consumers' purchase outcome can be measured easily using metrics and analytics, the roles of source homophily in stages leading up to the purchase is still elusive. Drawing on the rich theoretical basis of source homophily may help researchers to understand not only how credibility and attitude are related to PI but also how this nexus generates positive word of mouth among UGC followers within the social media circles.

Exploring the nexus of social media influencers and consumer brand engagement

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Man Lai Cheung ◽  
Wilson K.S. Leung ◽  
Morgan X. Yang ◽  
Kian Yeik Koay ◽  
Man Kit Chang
Keyword(s):  
Social Media ◽  
Social Interaction ◽  
Information Seeking ◽  
Structural Equation ◽  
Motivational Factors ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Consumer Engagement ◽  
Content Type ◽  
The Impact

PurposeGrounded in uses and gratification theory (UGT) and observational learning theory (OLT), this study aims to understand the impact of motivational factors on consumer-influencer engagement behaviors (CIEBs). Motivating factors, including entertainment, information seeking, reward and social interaction, are regarded as antecedents of consumers' OLT, as manifested by CIEB dimensions, including consumption, contribution and creation, and subsequently drive consumer engagement with the endorsed brands.Design/methodology/approachA self-administered questionnaire was distributed to Malaysian social media users. A total of 263 responses were collected and analyzed using partial least squares structural equation modeling (PLS-SEM) to examine the impact of motivational factors on CIEBs.FindingsThe results show that the three dimensions of CIEBs can be predicted by different gratifications (information seeking, entertainment, reward and interaction). In addition, two of the CIEB dimensions, consumption and contribution, were found to have a significant positive influence on consumers' engagement with endorsed brands.Practical implicationsThis study provides insights into how social media influencers (SMIs) could lead to CIEBs by creating entertaining and rewarding content that facilitates social interaction between consumers. SMIs and marketers that encourage consumers to browse, comment and share SMI-created posts will enhance consumer engagement with the endorsed brands, as engagement is driven by the consumption and contribution to SMI-created content.Originality/valueSMI marketing is increasing, and many brands are beginning to rely more on SMIs to promote brands. Yet, there is a dearth of studies that have examined how SMIs play a role in affecting consumers' engagement with endorsed brands. This study contributes to the marketing literature by developing and empirically testing the research model. Results suggest that social interaction, reward and entertainment are key motivational factors that drive CIEBs, which, in turn, foster consumer engagement with endorsed brands.

Aquatic Stewardship Education in Theory and Practice

2007 ◽  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Positive Relationship ◽  
Negative Relationship ◽  
Mail Survey ◽  
Value Orientations ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Normative Beliefs ◽  
Cognitive Hierarchy

<i>Abstract.—</i>In this paper, we describe a fishing ethic, conceptualized as Minnesota anglers’ normative beliefs regarding various stewardship behaviors. We use structural equation modeling to determine the extent to which angler’s value orientations, measured along an anthropocentric–biocentric continuum, can be used to predict social norms regarding angling and endorsement or opposition to the use of technological angling aids. Data were obtained from a statewide mail survey of Minnesota anglers conducted in the spring of 2003 (<i>n </i>= 457). Results show a modest, positive relationship between biocentric value orientations and stewardship norms and a modest, negative relationship between biocentric value orientations and support for the use of technological angling aids. Consistent with previous research, our results indicated that norms regarding angling may be positioned along a bio-anthropocentric continuum and support the use of the cognitive hierarchy as a framework for understanding and predicting anglers’ normative beliefs. Results further suggest fisheries managers interested in promoting stewardship could benefit from recognizing the underlying values that help guide our behavior regarding natural resources.

Cyber incivility and knowledge hoarding: Does interactional justice matter?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nader Mohammad Aljawarneh ◽  
Khaled Abd kader Alomari ◽  
Ziyad Saleh Alomari ◽  
Omar Taha
Keyword(s):  
Structural Equation Modeling ◽  
Social Exchange ◽  
Structural Equation ◽  
Interactional Justice ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Telecommunication Service ◽  
Strong Impact ◽  
Content Type ◽  
Knowledge Hoarding

Purpose The current explanations in the cyber incivility and knowledge hoarding literature suffer from two problems. The first is a lack of cogent explanation of cyber incivility and knowledge hoarding from social exchange theory (SET) perspective. The second is the unexplained attenuating propensity of justice on the connection between cyber incivility and knowledge hoarding, more specifically, interactional justice. Design/methodology/approach This paper uses a simple random sampling method to obtain cross-sectional data from 223 employees working in IT and telecommunication service companies in Jordan. The obtained data were analyzed using partial least squares structural equation modeling (PLS-SEM) technique also known as variance-based structural equation modeling. Findings By applying SET theoretical lens and PLS-SEM, the authors show that cyber incivility exerts strong impact on knowledge hoarding, and interactional justice may not always function as a buffer. That is, the association between cyber incivility and knowledge hoarding is not impacted by interactional justice levels. Originality/value The contribution of this paper builds on the lack of practical comprehension on the association between cyber incivility and knowledge hoarding and the role played by interactional justice. Implications for theory and practice are discussed.

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