Improving the effectiveness of social media-based crowdsourcing innovations: roles of assurance mechanism and innovator's behaviour

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yefei Yang ◽  
Ciwei Dong ◽  
Xin Yao ◽  
Peter K.C. Lee ◽  
T.C.E. Cheng
Keyword(s):  
Social Media ◽  
Task Complexity ◽  
Uncertainty Reduction ◽  
Internet Technology ◽  
Reduction Theory ◽  
Content Type ◽  
Uncertainty Reduction Theory ◽  
Theoretical Contribution ◽  
Innovation Research ◽  
The Impact

PurposeWith the development of social media and Internet technology, many firms have started to use various crowdsourcing innovation platforms to operate their open innovation business modes. The purpose of this study is to explore how such platforms' assurance mechanisms enhance the effectiveness of crowdsourcing innovations and how to apply assurance mechanisms to handle different innovation tasks, thereby motivating more seekers to use crowdsourcing innovations.Design/methodology/approachThe authors use a Python-based technology to collect the research data comprising 2,302 solvers and 8,390 trade records from zbj.com and apply statistical methods to test the postulated hypotheses.FindingsThe effectiveness of assurance mechanism is confirmed by its positive relationship with solver's behaviour, thereby improving seeker's retention behaviour. However, task complexity, task novelty and task professionalization have different moderating effects on the relationships among assurance mechanism, solver's (innovator's) behaviour and seeker's behaviour.Research limitations/implicationsThis study enriches the literature on crowdsourcing innovations and extends the application of uncertainty reduction theory to innovation research. It also makes the theoretical contribution that the assurance mechanism adopted by the platform has different impacts on user's behaviour depending on the task characteristics.Practical implicationsThe findings provide guidance to the platform operator on how to design the assurance mechanism to match the innovation task and innovator's behaviour to reduce seeker's uncertainty, thereby facilitating the seeker's decision-making.Originality/valueA particular value of this study lies in exploring the impact of the platform assurance mechanism of social media-based crowdsourcing innovations on innovator's behaviour, which may further improve seeker's behaviour, based on uncertainty reduction theory.

Two Tickets for Paradise

2012 ◽  
pp. 91-101
Author(s):  
Ashleigh K. Shelton
Keyword(s):  
Mass Communication ◽  
Information Technologies ◽  
Uses And Gratifications ◽  
Uncertainty Reduction ◽  
Reduction Theory ◽  
Dependency Theory ◽  
Uses And Gratifications Theory ◽  
Media Dependency ◽  
Uncertainty Reduction Theory ◽  
The Impact

This chapter begins by identifying linkage points between advergames, tourism and three major mass communication theories/approaches—media dependency theory (Ball Rokeach & DeFleur, 1976; DeFleur & Ball-Rokeach, 1989), uncertainty reduction theory (Berger & Calabrese, 1975), and uses and gratifications theory (Blumler & Katz, 1974). These will serve as examples of how advergames and hospitality can be integrated into theories and models attempting to explain the impact of information technologies. They will also provide a springboard for considering the nature of advergames with regards to tourism.

Impact of word-of-mouth, job attributes and relationship strength on employer attractiveness

2019 ◽  
Vol 42 (6) ◽  
pp. 721-739 ◽  
Author(s):  
Faiz Ahamad
Keyword(s):  
Social Media ◽  
Word Of Mouth ◽  
Information Source ◽  
Differential Impact ◽  
Content Type ◽  
Job Attributes ◽  
Relationship Strength ◽  
Job Information ◽  
Employer Attractiveness ◽  
The Impact

Purpose Job information through word-of-mouth (WOM) has a crucial impact on employer attractiveness. The phenomenal rise of social media offers alternate WOM platforms for sharing job information, which is quite different from traditional face-to-face WOM. The purpose of this paper is to examine the differential impact of traditional word-of-mouth (t-WOM) and social media word-of-mouth (s-WOM) on employer attractiveness along with the difference in the job attributes and relationship strength with the information source. Design/methodology/approach A 2 × 2 × 2 experiment was conducted to examine the impact of information source (t-WOM and s-WOM), job attributes (tangible and intangible) and relationship strength (strong and weak), on employer attractiveness. Source expertise and source trust were treated as the control variable. Findings The result shows the differential impact of t-WOM and s-WOM on employer attractiveness. Moreover, t-WOM from strong relation source found to have a high impact on employer attractiveness than s-WOM. No significant difference due to job attributes was found. Research limitations/implications Use of only positive WOM and not the negative one, student as the subjects, etc. Practical implications The present study suggests using t-WOM and s-WOM to attract talented job seekers. Originality/value This is the first study to analyze the differential impact of t-WOM and s-WOM on employer attractiveness.

Social media activity: its impact on career-related perceptions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kimberly W. O'Connor ◽  
Kimberly S. McDonald ◽  
Brandon T. McDaniel ◽  
Gordon B. Schmidt
Keyword(s):  
Social Media ◽  
Online Learning ◽  
Career Satisfaction ◽  
Media Use ◽  
Positive Impact ◽  
Amazon Mechanical Turk ◽  
Social Media Use ◽  
Content Type ◽  
The Impact ◽  
Career Benefits

Purpose The purpose of this exploratory study is to examine individual perceptions about the impact that social media use has on career satisfaction and perceived career benefits. We examined whether informal online learning through “typical” types of social media behaviors (e.g. liking a post or messaging another user) and “networking” types of social media behaviors (e.g. endorsing another user, writing recommendations, going “live,” or looking for a job) impacted career-related perceptions. Design/methodology/approach In this study, we analyzed Amazon Mechanical Turk survey data gathered from adult participants (n = 475). We focused our inquiry specifically on two social media sites, Facebook and LinkedIn. We asked participants about their social media use and behaviors, as well as their perceptions of career satisfaction and career benefits related to social media. Findings We found that both typical and networking types of social media behaviors positively predicted the “knowing whom” career competency (defined as career relevant networks and contacts that individuals use to develop their careers) and career satisfaction. Only networking behaviors were positively associated with perceived career benefits of social media use. We further found that LinkedIn users’ career satisfaction was lower compared to non-LinkedIn users. Originality/value This study adds to the small, but growing body of career research focusing on social capital and social media. Our results suggest that informal online learning via social media may have a positive impact on employees’ career-related perceptions.

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.

Impact of social media usage on performance of construction businesses (CBs) in Abuja, Nigeria

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luqman Oyekunle Oyewobi ◽  
Olufemi Seth Olorunyomi ◽  
Richard Ajayi Jimoh ◽  
James Olabode Bamidele Rotimi
Keyword(s):  
Social Media ◽  
Social Interaction ◽  
Structural Equation ◽  
Building Materials ◽  
Positive Impact ◽  
Research Approach ◽  
Cross Sectional ◽  
Content Type ◽  
Business Interest ◽  
The Impact

Purpose Many construction businesses are currently building and keeping social media pages for their enterprises to be visible to the public to improve their social interaction, promote business interest, build trust and relationships with their targeted audience on social media. The purpose of this study is to examine the impact of social mediausage on performance of construction businesses (CBs) in Abuja, Nigeria. Design/methodology/approach This study used a quantitative research approach by identifying constructs that reveal three aspects of organisation’s physiognomies that impact the process of espousing, implementing and using technological innovations in conducting businesses. Well-structured questionnaire was used to obtain data from 113 purposively sampled building materials’ merchant operating in Dei-Dei Market, Abuja, Nigeria. This study used partial least squares structural equation modelling technique to establish the relationship among the constructs. Findings The results of this study indicated that technology has significant relationship with social media adoption, whereas social media adoption has a very strong positive impact on organisation’s performance (P < 0.001) with respect to improved customer relations and services and enhanced information accessibility. Research limitations/implications This study has implications for CBs that wish to adopt social media to promote their businesses by presenting to them the opportunity to understand the impact of technology, environment and organisational potential in improving business performance. This study is cross-sectional in nature, and this calls for caution in interpreting the results. Originality/value This paper developed and tested a conceptual framework presented to understand the interrelationships amongst the constructs, which would be of great significance to business owners in developing their social interaction and promote business interest via social media. The outcome of this research is beneficial to researchers to further study how the different social media tools could help in influencing business decisions.

Fake news on Facebook: examining the impact of heuristic cues on perceived credibility and sharing intention

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khudejah Ali ◽  
Cong Li ◽  
Khawaja Zain-ul-abdin ◽  
Muhammad Adeel Zaffar
Keyword(s):  
Public Health ◽  
Social Media ◽  
Design Methodology ◽  
Fake News ◽  
Content Type ◽  
Perceived Credibility ◽  
News Credibility ◽  
The Impact ◽  
Practical Implications ◽  
Active Processing

PurposeAs the epidemic of online fake news is causing major concerns in contexts such as politics and public health, the current study aimed to elucidate the effect of certain “heuristic cues,” or key contextual features, which may increase belief in the credibility and the subsequent sharing of online fake news.Design/methodology/approachThis study employed a 2 (news veracity: real vs fake) × 2 (social endorsements: low Facebook “likes” vs high Facebook “likes”) between-subjects experimental design (N = 239).FindingsThe analysis revealed that a high number of Facebook “likes” accompanying fake news increased the perceived credibility of the material compared to a low number of “likes.” In addition, the mediation results indicated that increased perceptions of news credibility may create a situation in which readers feel that it is necessary to cognitively elaborate on the information present in the news, and this active processing finally leads to sharing.Practical implicationsThe results from this study help explicate what drives increased belief and sharing of fake news and can aid in refining interventions aimed at combating fake news for both communities and organizations.Originality/valueThe current study expands upon existing literature, linking the use of social endorsements to perceived credibility of fake news and information, and sheds light on the causal mechanisms through which people make the decision to share news articles on social media.

“Actions speak louder than words”: an impact of service recovery antecedents on customer delight in quick-service restaurants

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Durgesh Agnihotri ◽  
Kushagra Kulshreshtha ◽  
Vikas Tripathi ◽  
Pallavi Chaturvedi
Keyword(s):  
Social Media ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Service Recovery ◽  
Equation Modeling ◽  
Role Clarity ◽  
Content Type ◽  
Customer Delight ◽  
Quick Service ◽  
The Impact

PurposeThe purpose of this study is to conceptualize and analyze a framework that provides greater understanding toward the impact of service recovery antecedents such as role clarity, customer service orientation, employee empowerment and employee relational behavior on customer satisfaction and customer delight in the context of quick-service restaurants (QSRs).Design/methodology/approachA self-administered questionnaire was distributed to 408 participants who had experienced service recovery efforts by leading QSRs on social media. The current paper draws upon the prevailing literature to test a series of research hypotheses through structural equation modeling.FindingsThe findings of the study have confirmed that antecedents of service recovery are good to describe customer satisfaction and customer delight in the setting of QSRs. Besides, the study provides an understanding on how monetary compensation moderates the relationship between customer delight and customer satisfaction.Practical implicationsThis study carries an understanding on how frontline employees must operate in a non-conventional and innovative way to resolve customers' issues and show commitment with truthfulness to provide excellent services to make customers feel delightful.Originality/valueThis is a unique study to understand the role of service recovery antecedents to describe customer satisfaction and customer delight in the social media environment. In addition, the results support the possibilities of implementing prompt service recovery efforts using social media.

Public perception of COVID-19 vaccines from the digital footprints left on Twitter: analyzing positive, neutral and negative sentiments of Twitterati

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aasif Ahmad Mir ◽  
Sevukan Rathinam ◽  
Sumeer Gul
Keyword(s):  
Social Media ◽  
Public Perception ◽  
English Language ◽  
Social Issues ◽  
Application Programming Interface ◽  
Content Type ◽  
The Public ◽  
Public Reaction ◽  
Types Of Information ◽  
The Impact

PurposeTwitter is gaining popularity as a microblogging and social networking service to discuss various social issues. Coronavirus disease 2019 (COVID-19) has become a global pandemic and is discussed worldwide. Social media is an instant platform to deliberate various dimensions of COVID-19. The purpose of the study is to explore and analyze the public sentiments related to COVID-19 vaccines across the Twitter messages (positive, neutral, and negative) and the impact tweets make across digital social circles.Design/methodology/approachTo fetch the vaccine-related posts, a manual examination of randomly selected 500 tweets was carried out to identify the popular hashtags relevant to the vaccine conversation. It was found that the hashtags “covid19vaccine” and “coronavirusvaccine” were the two popular hashtags used to discuss the communications related to COVID-19 vaccines. 23,575 global tweets available in public domain were retrieved through “Twitter Application Programming Interface” (API), using “Orange Software”, an open-source machine learning, data visualization and data mining toolkit. The study was confined to the tweets posted in English language only. The default data cleaning and preprocessing techniques available in the “Orange Software” were applied to the dataset, which include “transformation”, “tokenization” and “filtering”. The “Valence Aware Dictionary for sEntiment Reasoning” (VADER) tool was used for classification of tweets to determine the tweet sentiments (positive, neutral and negative) as well as the degree of sentiments (compound score also known as sentiment score). To assess the influence/impact of tweets account wise (verified and unverified) and sentiment wise (positive, neutral, and negative), the retweets and likes, which offer a sort of reward or acknowledgment of tweets, were used.FindingsA gradual decline in the number of tweets over the time is observed. Majority (11,205; 47.52%) of tweets express positive sentiments, followed by neutral (7,948; 33.71%) and negative sentiments (4,422; 18.75%), respectively. The study also signifies a substantial difference between the impact of tweets tweeted by verified and unverified users. The tweets related to verified users have a higher impact both in terms of retweets (65.91%) and likes (84.62%) compared to the tweets tweeted by unverified users. Tweets expressing positive sentiments have the highest impact both in terms of likes (mean = 10.48) and retweets (mean = 3.07) compared to those that express neutral or negative sentiments.Research limitations/implicationsThe main limitation of the study is that the sentiments of the people expressed over one single social platform, that is, Twitter have been studied which cannot generalize the global public perceptions. There can be a variation in the results when the datasets from other social media platforms will be studied.Practical implicationsThe study will help to know the people's sentiments and beliefs toward the COVID-19 vaccines. Sentiments that people hold about the COVID-19 vaccines are studied, which will help health policymakers understand the polarity (positive, negative, and neutral) of the tweets and thus see the public reaction and reflect the types of information people are exposed to about vaccines. The study can aid the health sectors to intensify positive messages and eliminate negative messages for an enhanced vaccination uptake. The research can also help design more operative vaccine-advocating communication by customizing messages using the obtained knowledge from the sentiments and opinions about the vaccines.Originality/valueThe paper focuses on an essential aspect of COVID-19 vaccines and how people express themselves (positively, neutrally and negatively) on Twitter.

Public relations in the age of data: corporate perspectives on social media analytics (SMA)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kathy R. Fitzpatrick ◽  
Paula L. Weissman
Keyword(s):  
Social Media ◽  
Public Relations ◽  
Social Media Analytics ◽  
Content Type ◽  
The Public ◽  
Management Function ◽  
Use Of Social Media ◽  
The Impact ◽  
Corporate Brands ◽  
Depth Interviews

PurposeThe aim of this study was to understand how public relations leaders view and use social media analytics (SMA) and the impact of SMA on the public relations function.Design/methodology/approachThe research involved in-depth interviews with chief communication officers (CCOs) from leading multinational corporate brands.FindingsThe findings revealed that although CCOs perceive social media analytics as strategically important to the advancement of public relations, the use of social media data is slowed by challenges associated with building SMA capacity.Theoretical and practical implications – The research extends public relations theory on public relations as a strategic management function and provides practical insights for building SMA capabilities.Originality/valueThe study is among the first to provide empirical evidence of how companies are using social media analytics to enhance public relations efforts.

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