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1 – 7 of 7Abul Kalam, Chai Lee Goi and Ying Ying Tiong
The purpose of this study is to explore the comparative effects of mainstream celebrities and social media influencers on consumer advocacy and relationship intentions. The study…
Abstract
Purpose
The purpose of this study is to explore the comparative effects of mainstream celebrities and social media influencers on consumer advocacy and relationship intentions. The study also examines the direct and serial mediation effects on those relationships.
Design/methodology/approach
The survey questionnaire was used to collect data from 718 respondents throughout Malaysia, with convenience and snowball sampling techniques employed. The data were analyzed based on the structural equation modeling (SEM) approach through the AMOS version 24. The PROCESS MACRO v-4.20 was applied to evaluate mediating effects in the model.
Findings
The results reveal that celebrity endorsers' involvement in social media significantly influences the uses of social media, which also impacts the attitudes and, subsequently, consumer relationship and advocacy intentions. The study found that mainstream celebrities and social media influencers effectively promote brands, and it discovered insignificant differences in their effects on the analyzed relationships.
Research limitations/implications
This study has been conducted on consumers in Malaysia; it may have different effects on consumers in other countries.
Practical implications
Brand managers and policymakers may benefit from following the study's guidelines for making consumer relationship and advocacy intentions by celebrity endorsers and uses of social media.
Social implications
The brand community can benefit from tightening their social bondage by sharing and managing crucial information from celebrities and using social media.
Originality/value
The study explores the effects of mainstream celebrities on consumer relationship and advocacy intentions using social media networks and managing consumer attitudes.
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Social media marketers are keen to understand how viewers perceive their brands on a platform and how the learning experiences from content can impact their attitudes toward a…
Abstract
Purpose
Social media marketers are keen to understand how viewers perceive their brands on a platform and how the learning experiences from content can impact their attitudes toward a brand. This study aims to focus on examining the effect of firm-generated content (FGC) on X (formerly known as Twitter), using Kolb’s experiential learning theory to analyze the viewers’ learning process. In addition, the study investigates how the length of time a viewer follows a brand and the type of brand can influence their attitudes toward it.
Design/methodology/approach
This study involved three qualitative studies on X to investigate how content learning affects consumer attitudes toward two brands, namely, Nike and Subway. The study also examined the impact of the duration of following the brands, with participants following the brands for 4, 8 and 12 weeks, respectively, to assess changes in their attitudes.
Findings
The results demonstrate that content learning significantly impacts consumer attitudes. By following brands and engaging with their FGC over time, viewers can transition from being occasional or intermittent followers to becoming devoted brand enthusiasts. Through the four-stage experiential learning process, followers undergo cognitive, emotional and behavioral transformations that collectively shape their brand attitudes. The impact of content learning varies according to the brand type, and the duration of following has a positive effect on brand attitudes.
Research limitations/implications
The study’s findings have significant marketing implications for social media marketers, suggesting that they should restructure their social media platforms as learning platforms to effectively engage followers. Companies should adjust their content marketing strategies from a learner’s perspective, providing followers with content that resonates with them, enhances their learning outcomes and helps shift their beliefs and brand attitudes, ultimately converting them into loyal consumers.
Originality/value
To the best of the author’s knowledge, this qualitative research is the first of its kind to apply experiential learning theories to investigate how users learn from FGC by following brands on social media and how this learning ultimately changes their brand attitude. The study provides a unique perspective on social media marketing, enriching the understanding of content marketing and consumer experiences on social media platforms.
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Educational institutions have a special social responsibility to initiate processes of sustainability transformation in society, nevertheless, activities that effectively address…
Abstract
Purpose
Educational institutions have a special social responsibility to initiate processes of sustainability transformation in society, nevertheless, activities that effectively address students as well as employees are rather moderate. To initiate change alongside strategic and political decisions, this paper aims to present findings of a gamification intervention (hereafter referred to as climate duel), which was implemented in a field study and tested to assess its potential as a supporting and transformative approach in a university context.
Design/methodology/approach
A three-month field study was conducted with two universities of applied sciences. The study included an environmental impact analysis of the two participating university departments, the conception and testing of the intervention and associated surveys to evaluate the effectiveness of the intervention in order to and to obtain feedback that would allow the duel to be scaled up at other universities or institutions.
Findings
Three hundred seventy-five people took part and saved 2.6 tons of greenhouse gas emissions through their participation in the climate duel and their corresponding behavioural changes. In addition, feedback from the participants yielded positive results in terms of behavioural changes and generated valuable evidence for future implementations. Nevertheless, there is still room for improvement, especially in terms of supporting communication activities that promote social relatedness to motivate each other, share experiences or deal with implementation difficulties in everyday life.
Originality/value
Building on the promising effects of gamification, the study is a showcase for applied science. With the possibility of testing a theory-based intervention in practice, an implementable, effective and scalable measure for universities that helps to accelerate the transformation process is available.
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Abdul Wahid Khan and Abhishek Mishra
This study aims to conceptualize the relationship of perceived artificial intelligence (AI) credibility with consumer-AI experiences. With the widespread deployment of AI in…
Abstract
Purpose
This study aims to conceptualize the relationship of perceived artificial intelligence (AI) credibility with consumer-AI experiences. With the widespread deployment of AI in marketing and services, consumer-AI experiences are common and an emerging research area in marketing. Various factors affecting consumer-AI experiences have been studied, but one crucial factor – perceived AI credibility is relatively underexplored which the authors aim to envision and conceptualize.
Design/methodology/approach
This study employs a conceptual development approach to propose relationships among constructs, supported by 34 semi-structured consumer interviews.
Findings
This study defines AI credibility using source credibility theory (SCT). The conceptual framework of this study shows how perceived AI credibility positively affects four consumer-AI experiences: (1) data capture, (2) classification, (3) delegation, and (4) social interaction. Perceived justice is proposed to mediate this effect. Improved consumer-AI experiences can elicit favorable consumer outcomes toward AI-enabled offerings, such as the intention to share data, follow recommendations, delegate tasks, and interact more. Individual and contextual moderators limit the positive effect of perceived AI credibility on consumer-AI experiences.
Research limitations/implications
This study contributes to the emerging research on AI credibility and consumer-AI experiences that may improve consumer-AI experiences. This study offers a comprehensive model with consequences, mechanism, and moderators to guide future research.
Practical implications
The authors guide marketers with ways to improve the four consumer-AI experiences by enhancing consumers' perceived AI credibility.
Originality/value
This study uses SCT to define AI credibility and takes a justice theory perspective to develop the conceptual framework.
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Garima Sahu, Gurinder Singh, Gurmeet Singh and Loveleen Gaur
With over-the-top (OTT) streaming services rapidly transforming the media industry and saturating the market, the authors' study seeks to enrich the goal-directed behaviour model…
Abstract
Purpose
With over-the-top (OTT) streaming services rapidly transforming the media industry and saturating the market, the authors' study seeks to enrich the goal-directed behaviour model by exploring how perceived risks and descriptive norms influence OTT consumption.
Design/methodology/approach
Survey data from OTT subscribers were collected online to assess their risk behaviours. The 353 responses obtained were analysed with SmartPLS, validating the structural equation modelling (SEM) through structural and measurement model verification.
Findings
The authors' findings illustrate that descriptive norm, perceived behavioural control, as well as positive and negative anticipated emotion (NEM) and attitude, contribute positively to the desire to engage with OTT streaming services. Interestingly, the authors' study contradicts common assumptions, revealing that subjective norms do not significantly impact the propensity to utilise OTT services. This counterintuitive finding necessitates a reconsideration of prevalent theories and contributes to a nuanced understanding of OTT adoption determinants.
Research limitations/implications
The data gathering for this study were conducted from the perspective of a single nation. Therefore, caution must be exercised when generalising this study's results.
Practical implications
The practical ramifications of this research are vast, providing OTT service providers and marketers with actionable insights to maximise user engagement and navigate perceived risks related to OTT service adoption and consumption.
Originality/value
This study's exploration of perceived risks and descriptive norms enhances the goal-directed behaviour model's breadth, facilitating a holistic comprehension of the constructs shaping OTT consumption behaviours. It would be the first attempt to combine perceptual, affective and behavioural factors and perceived risks to understand the user's predisposition to engage in OTT streaming services.
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Keyhan Shams, Mehrnegar Barahouei and Kerry L. Priest
This paper introduces a conceptual lens for leading social change in slums and informal settlements. In line with this aim, the purpose of this case study is to describe the…
Abstract
Purpose
This paper introduces a conceptual lens for leading social change in slums and informal settlements. In line with this aim, the purpose of this case study is to describe the public problem-solving approach of a social change organization situated in an informal settlement through the lens of adaptive leadership, complexity theory and social change leadership (SCL).
Design/methodology/approach
This paper follows an engaged reflection tradition. First, the author-practitioners describe an informal settlement case hereafter called ISC in southeast Iran where many people have historically remained undocumented and uneducated. Using complex adaptive systems theory, adaptive leadership and SCL as the conceptual lens, the paper analyzes ISC as a complex adaptive context in which the community and the government are in tension in solving problems, particularly illiteracy. The instrumental case study draws from participant observation and document analysis to describe and examine the endeavors of a community office operating within ISC. Through this reflective analysis, the authors illustrate how a social change organization can effectively tackle public issues like illiteracy within informal settlements.
Findings
This paper applies complexity leadership theory to a social context. The study illustrates how social change organizations can support the transformation of informal spaces into adaptive spaces to enact social change.
Originality/value
This paper reflects on engagement activity near the insecure borders of Iran, Afghanistan and Pakistan. By extending an organizational-level theory to the public sphere, this paper contributes theoretically to the complexity theory literature. Moreover, it provides a practical insight for community development and slum upgrading projects.
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Rahel Aschwanden, Claude Messner, Bettina Höchli and Geraldine Holenweger
Cyberattacks have become a major threat to small and medium-sized enterprises. Their prevention efforts often prioritize technical solutions over human factors, despite humans…
Abstract
Purpose
Cyberattacks have become a major threat to small and medium-sized enterprises. Their prevention efforts often prioritize technical solutions over human factors, despite humans posing the greatest risk. This article highlights the importance of developing tailored behavioral interventions. Through qualitative interviews, we identified three persona types with different psychological biases that increase the risk of cyberattacks. These psychological biases are a basis for creating behavioral interventions to strengthen the human factor and, thus, prevent cyberattacks.
Design/methodology/approach
We conducted structured, in-depth interviews with 44 employees, decision makers and IT service providers from small and medium-sized Swiss enterprises to understand insecure cyber behavior.
Findings
A thematic analysis revealed that, while knowledge about cyber risks is available, no one assumes responsibility for employees’ and decision makers’ behavior. The interview results suggest three personas for employees and decision makers: experts, deportees and repressors. We have derived corresponding biases from these three persona types that help explain the interviewees’ insecure cyber behavior.
Research limitations/implications
This study provides evidence that employees differ in their cognitive biases. This implies that tailored interventions are more effective than one-size-fits7-all interventions. It is inherent in the idea of tailored interventions that they depend on multiple factors, such as cultural, organizational or individual factors. However, even if the segments change somewhat, it is still very likely that there are subgroups of employees that differ in terms of their misleading cognitive biases and risk behavior.
Practical implications
This article discusses behavior directed recommendations for tailored interventions in small and medium-sized enterprises to minimize cyber risks.
Originality/value
The contribution of this study is that it is the first to use personas and cognitive biases to understand insecure cyber behavior, and to explain why small and medium-sized enterprises do not implement behavior-based cybersecurity best practices. The personas and biases provide starting points for future research and interventions in practice.
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