scholarly journals Social media analytics for end-users' expectation management in information systems development projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Snehasish Banerjee ◽  
Jyoti Prakash Singh ◽  
Yogesh K. Dwivedi ◽  
Nripendra P. Rana
Keyword(s):  
Social Media ◽  
Information Systems ◽  
Language Processing ◽  
Empirical Work ◽  
End Users ◽  
Social Media Analytics ◽  
Development Projects ◽  
Exploratory Research ◽  
Content Type ◽  
Expectation Management

PurposeThis study, an exploratory research, aims to investigate social media users' expectations of information systems (IS) products that are conceived but not yet launched. It specifically analyses social media data from Twitter about forthcoming smartphones and smartwatches from Apple and Samsung, two firms known for their innovative gadgets.Design/methodology/approachTweets related to the following four forthcoming IS products were retrieved from 1st January 2020 to 30th September 2020: (1) Apple iPhone 12 (6,125 tweets), (2) Apple Watch 6 (553 tweets), (3) Samsung Galaxy Z Flip 2 (923 tweets) and (4) Samsung Galaxy Watch Active 3 (207 tweets). These 7,808 tweets were analysed using a combination of the Natural Language Processing Toolkit (NLTK) and sentiment analysis (SentiWordNet).FindingsThe online community was quite vocal about topics such as design, camera and hardware specifications. For all the forthcoming gadgets, the proportion of positive tweets exceeded that of negative tweets. The most prevalent sentiment expressed in Apple-related tweets was neutral, but in Samsung-related tweets was positive. Additionally, it was found that the proportion of tweets echoing negative sentiment was lower for Apple compared with Samsung.Originality/valueThis paper is the earliest empirical work to examine the degree to which social media chatter can be used by project managers for IS development projects, specifically for the purpose of end-users' expectation management.

Mining Arabic Twitter conversations on health care: a new approach to analysing Arabic language on social media

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nael Alqtati ◽  
Jonathan A.J. Wilson ◽  
Varuna De Silva
Keyword(s):  
Health Care ◽  
Social Media ◽  
Language Processing ◽  
Data Science ◽  
Arabic Language ◽  
Marketing Communications ◽  
Social Media Analytics ◽  
Data Set ◽  
Content Type ◽  
Social Media Platforms

Purpose This paper aims to equip professionals and researchers in the fields of advertising, branding, public relations, marketing communications, social media analytics and marketing with a simple, effective and dynamic means of evaluating consumer behavioural sentiments and engagement through Arabic language and script, in vivo. Design/methodology/approach Using quantitative and qualitative situational linguistic analyses of Classical Arabic, found in Quranic and religious texts scripts; Modern Standard Arabic, which is commonly used in formal Arabic channels; and dialectical Arabic, which varies hugely from one Arabic country to another: this study analyses rich marketing and consumer messages (tweets) – as a basis for developing an Arabic language social media methodological tool. Findings Despite the popularity of Arabic language communication on social media platforms across geographies, currently, comprehensive language processing toolkits for analysing Arabic social media conversations have limitations and require further development. Furthermore, due to its unique morphology, developing text understanding capabilities specific to the Arabic language poses challenges. Practical implications This study demonstrates the application and effectiveness of the proposed methodology on a random sample of Twitter data from Arabic-speaking regions. Furthermore, as Arabic is the language of Islam, the study is of particular importance to Islamic and Muslim geographies, markets and marketing. Social implications The findings suggest that the proposed methodology has a wider potential beyond the data set and health-care sector analysed, and therefore, can be applied to further markets, social media platforms and consumer segments. Originality/value To remedy these gaps, this study presents a new methodology and analytical approach to investigating Arabic language social media conversations, which brings together a multidisciplinary knowledge of technology, data science and marketing communications.

scholarly journals Social media analytics: analysis and visualisation of news diffusion using NodeXL

2019 ◽  
Vol 43 (1) ◽  
pp. 149-160 ◽  
Author(s):  
Wasim Ahmed ◽  
Sergej Lugovic
Keyword(s):  
Social Media ◽  
Empirical Study ◽  
News Media ◽  
Empirical Work ◽  
Social Media Analytics ◽  
Diverse Range ◽  
Content Type ◽  
News Events ◽  
Social Media Network ◽  
Insight Into

Purpose The purpose of this paper is to provide an overview of NodeXL in the context of news diffusion. Journalists often include a social media dimension in their stories but lack the tools to get digital photos of the virtual crowds about which they write. NodeXL is an easy to use tool for collecting, analysing, visualising and reporting on the patterns found in collections of connections in streams of social media. With a network map patterns emerge that highlight key people, groups, divisions and bridges, themes and related resources. Design/methodology/approach This study conducts a literature review of previous empirical work which has utilised NodeXL and highlights the potential of NodeXL to provide network insights of virtual crowds during emerging news events. It then develops a number of guidelines which can be utilised by news media teams to measure and map information diffusion during emerging news events. Findings One emergent software application known as NodeXL has allowed journalists to take “group photos” of the connections among a group of users on social media. It was found that a diverse range of disciplines utilise NodeXL in academic research. Furthermore, based on the features of NodeXL, a number of guidelines were developed which provide insight into how to measure and map emerging news events on Twitter. Social implications With a set of social media network images a journalist can cover a set of social media content streams and quickly grasp “situational awareness” of the shape of the crowd. Since social media popular support is often cited but not documented, NodeXL social media network maps can help journalists quickly document the social landscape utilising an innovative approach. Originality/value This is the first empirical study to review literature on NodeXL, and to provide insight into the value of network visualisations and analytics for the news media domain. Moreover, it is the first empirical study to develop guidelines that will act as a valuable resource for newsrooms looking to acquire insight into emerging news events from the stream of social media posts. In the era of fake news and automated accounts, i.e., bots the ability to highlight opinion leaders and ascertain their allegiances will be of importance in today’s news climate.

scholarly journals A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter

2021 ◽  
Author(s):  
Irina Wedel ◽  
Michael Palk ◽  
Stefan Voß
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Topic Modeling ◽  
New Product ◽  
Business Value ◽  
Data Driven ◽  
New Product Introduction ◽  
Social Media Analytics ◽  
Product Introduction ◽  
Textual Data

AbstractSocial media enable companies to assess consumers’ opinions, complaints and needs. The systematic and data-driven analysis of social media to generate business value is summarized under the term Social Media Analytics which includes statistical, network-based and language-based approaches. We focus on textual data and investigate which conversation topics arise during the time of a new product introduction on Twitter and how the overall sentiment is during and after the event. The analysis via Natural Language Processing tools is conducted in two languages and four different countries, such that cultural differences in the tonality and customer needs can be identified for the product. Different methods of sentiment analysis and topic modeling are compared to identify the usability in social media and in the respective languages English and German. Furthermore, we illustrate the importance of preprocessing steps when applying these methods and identify relevant product insights.

The importance of social media on holiday visitors’ choices – the case of Athens, Greece

2015 ◽  
Vol 10 (3) ◽  
pp. 360-374 ◽  
Author(s):  
Androniki Kavoura ◽  
Aikaterini Stavrianeas
Keyword(s):  
Social Media ◽  
Web Sites ◽  
Online Community ◽  
Age Groups ◽  
Exploratory Research ◽  
Sources Of Information ◽  
Geographical Differences ◽  
Content Type ◽  
Community Belonging ◽  
And Gender

Purpose – The purpose of this paper is to examine visitors’ perceptions and relevant importance of social media when choosing a Mediterranean destination and also to explore the extent in which they believe it is important for them to belong to an online community with shared characteristics among its members. Design/methodology/approach – A stratified, based on nationality and gender, sample of 301 respondents of foreign arrivals of visitors in the Athens airport, Greece was collected in June and July 2014 based on the official Athens Airport Authorities Arrival Research. This is a partially exploratory research. Findings – Differences between age groups as far as the importance attributed to social media as sources of information about a tourism destination were found. The respondents, when using the internet for gathering information about a tourism Mediterranean destination, consider different online channels. Facebook is among the most important sources of information for them associated with the tourism destinations. Official web sites/blogs of the destination are the first source and photo sharing sites are the second most preferred source; sharing aesthetics of photos was found to contribute to the feeling of belonging to an on line travel community. Research limitations/implications – Further research will contribute to the development of greater understanding of the strategic approaches to social media and their use to promote a destination. Greek diaspora would be interesting to examine and geographical differences among groups. Practical implications – The paper denotes the importance for destination management organizations and companies, to fully employ the social media in their marketing efforts. Originality/value – The present study increases our understanding of the adoption of online and traditional communications in the visitor’s process for Athens, Greece, shedding light to the literature existing on the significance attributed to the online travel community belonging from visitors through sharing aesthetics of photos and associations of ideas based on age differences.

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.

Managing top management support in complex information systems projects

2017 ◽  
Vol 19 (1/2) ◽  
pp. 151-164 ◽  
Author(s):  
Salvador Bueno ◽  
M. Dolores Gallego
Keyword(s):  
Information Systems ◽  
Organizational Communication ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
End Users ◽  
Top Management ◽  
Management Support ◽  
Content Type ◽  
Top Management Support ◽  
And Training

Purpose Top management support (TMS) is considered as a critical factor for the success of information systems (ISs) projects. The literature shows that TMS has a positive impact on achieving success in ISs’ projects in different aspects. However, the enabling factors for TMS in complex ISs’ projects have barely been tested, something which this study aims to rectify. Design/methodology/approach This study has designed a research model based on structural equation modelling (SEM) with the intention of analysing the perception of IS end users regarding the effect on TMS of the following factors: technological complexity and training and organizational communication. The application of the study has focused on an enterprise resource planning–open source software (ERP-OSS) environment. Findings The findings show how end users have a perception that organizational communication and training have a positive relation with TMS. Based on these findings, the authors have suggested several practical considerations. Research limitations/implications There are two limitations to this study. First, this study is based on the perception of complex IS/IT users. It would be interesting to add the perception of top managers to provide more solid findings. The second limitation is that this study has not suggested any additional potential factors which could affect TMS. Practical implications First, this article provides a study of the key role of TMS when an organization needs to implement a complex IS/IT. Second, organizations must develop mechanisms for increasing training and communication relating to the new complex IS/IT projects. Finally, the complexity of an IS/IT project does not constitute an enabling factor incentivizing TMS and should therefore not be a determining factor in increasing TMS within an organization selecting an IS/IT. Originality/value This study contributes to advancing theory in the field of TMS in information systems projects.

Destination image through social media analytics and survey method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michael S. Lin ◽  
Yun Liang ◽  
Joanne X. Xue ◽  
Bing Pan ◽  
Ashley Schroeder
Keyword(s):  
Social Media ◽  
Survey Data ◽  
Destination Image ◽  
Social Media Analytics ◽  
Tourism Destination ◽  
Social Media Data ◽  
Content Type ◽  
Holistic Understanding ◽  
Intercept Survey ◽  
Media Data

Purpose Recent tourism research has adopted social media analytics (SMA) to examine tourism destination image (TDI) and gain timely insights for marketing purposes. Comparing the methodologies of SMA and intercept surveys would provide a more in-depth understanding of both methodologies and a more holistic understanding of TDI than each method on their own. This study aims to investigate the unique merits and biases of SMA and a traditional visitor intercept survey. Design/methodology/approach This study collected and compared data for the same tourism destination from two sources: responses from a visitor intercept survey (n = 1,336) and Flickr social media photos and metadata (n = 11,775). Content analysis, machine learning and text analysis techniques were used to analyze and compare the destination image represented from both methods. Findings The results indicated that the survey data and social media data shared major similarities in the identified key image phrases. Social media data revealed more diverse and more specific aspects of the destination, whereas survey data provided more insights in specific local landmarks. Survey data also included additional subjective judgment and attachment towards the destination. Together, the data suggested that social media data should serve as an additional and complementary source of information to traditional survey data. Originality/value This study fills a research gap by comparing two methodologies in obtaining TDI: SMA and a traditional visitor intercept survey. Furthermore, within SMA, photo and metadata are compared to offer additional awareness of social media data’s underlying complexity. The results showed the limitations of text-based image questions in surveys. The findings provide meaningful insights for tourism marketers by having a more holistic understanding of TDI through multiple data sources.

scholarly journals Tackling social media data analysis

2019 ◽  
Vol 22 (2) ◽  
pp. 94-113 ◽  
Author(s):  
Violetta Wilk ◽  
Geoffrey N. Soutar ◽  
Paul Harrigan
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Exploratory Research ◽  
Online Data ◽  
Social Media Data ◽  
Content Type ◽  
Advantages And Disadvantages ◽  
Brand Advocacy ◽  
Qualitative Data Analysis Software ◽  
Media Data

PurposeThis paper aims to offer insights into the ways two computer-aided qualitative data analysis software (CAQDAS) applications (QSR NVivo and Leximancer) can be used to analyze big, text-based, online data taken from consumer-to-consumer (C2C) social media communication.Design/methodology/approachThis study used QSR NVivo and Leximancer, to explore 200 discussion threads containing 1,796 posts from forums on an online open community and an online brand community that involved online brand advocacy (OBA). The functionality, in particular, the strengths and weaknesses of both programs are discussed. Examples of the types of analyses each program can undertake and the visual output available are also presented.FindingsThis research found that, while both programs had strengths and weaknesses when working with big, text-based, online data, they complemented each other. Each contributed a different visual and evidence-based perspective; providing a more comprehensive and insightful view of the characteristics unique to OBA.Research limitations/implicationsQualitative market researchers are offered insights into the advantages and disadvantages of using two different software packages for research projects involving big social media data. The “visual-first” analysis, obtained from both programs can help researchers make sense of such data, particularly in exploratory research.Practical implicationsThe paper provides practical recommendations for analysts considering which programs to use when exploring big, text-based, online data.Originality/valueThis paper answered a call to action for further research and demonstration of analytical programs of big, online data from social media C2C communication and makes strong suggestions about the need to examine such data in a number of ways.

scholarly journals Unpacking the impact of social media analytics on customer satisfaction: do external stakeholder characteristics matter?

2020 ◽  
Vol 40 (5) ◽  
pp. 647-669 ◽  
Author(s):  
Yichuan Wang ◽  
Minhao Zhang ◽  
Ying Kei Tse ◽  
Hing Kai Chan
Keyword(s):  
Social Media ◽  
Customer Satisfaction ◽  
Customer Engagement ◽  
Primary Data ◽  
Social Media Analytics ◽  
Content Type ◽  
External Stakeholder ◽  
Business Partners ◽  
External Stakeholders ◽  
The Impact

PurposeUnderpinned by the lens of Contingency Theory (CT), the purpose of this paper is to empirically evaluate whether the impact of social media analytics (SMA) on customer satisfaction (CS) is contingent on the characteristics of different external stakeholders, including business partners (i.e. partner diversity), competitors (i.e. localised competition) and customers (i.e. customer engagement).Design/methodology/approachUsing both subjective and objective measures from multiple sources, we collected primary data from 141 hotels operating in Greece and their archival data from TripAdvisor and the Hellenic Chamber of Hotels (HCH) database to test the hypothesised relationships. Data were analysed through structural equation modelling.FindingsThis study confirms the positive association between SMA and CS, but it remains subject to the varied characteristics of external stakeholders. We find that an increase in CS due to the implementation of SMA is more pronounced for firms that (1) adopt a selective distribution strategy where a limited number of business partners are chosen for collaboration or (2) operate in a highly competitive local environment. The results further indicate that high level of customer engagement amplifies the moderating effect of partner diversity (when it is low) and localised competition (when it is high) on the SMA–CS relationship.Originality/valueThe study provides novel insights for managers on the need to consider external stakeholder characteristics when implementing SMA to enhance firms' CS, and for researchers on the value of studying SMA implementation from the CT perspective.

scholarly journals Doing it for the kids: the role of sustainability in family consumption

2016 ◽  
Vol 44 (11) ◽  
pp. 1100-1117 ◽  
Author(s):  
Elaine L. Ritch ◽  
Douglas Brownlie
Keyword(s):  
Decision Making ◽  
Empirical Work ◽  
Geographical Location ◽  
Well Being ◽  
Educational Interventions ◽  
Environmental Concerns ◽  
Exploratory Research ◽  
Social Resilience ◽  
Content Type ◽  
Family Consumption

Purpose The purpose of this paper is to explore social dynamics around food and clothing provisioning for young families and how involvement in environmental concerns shapes those dynamics and presents challenges and opportunities to in terms of evolving consumer tastes. Through collecting and analysing narratives of mothering, the authors explore the influence of children on decision making in household provisioning; in particular, how their education into sustainable concepts through the European initiative of eco-schools impacts provisioning. Design/methodology/approach The exploratory research design specifically sought the demographic profile identified in extant literature as engaging with sustainability issues to explore how they were interpreted into familial consumption. This resulted in 28 unstructured interviews exploring a range of related topics with a group of highly educated working mothers with a profession. Findings The study finds that family consumption behaviour is mediated by relations towards environmental concerns and taste positions taken by both parents and children. It illustrates how care for children’s safety, social resilience and health and well-being is habitus informed as well as being the subject of wider institutional logics including educational interventions such as school eco-status and participation in mother and child activity groups. However, tensions arose surrounding the children’s socialisation with peers and space was provided to help the children self-actualise. Research limitations/implications The exploratory goal of the study limited the scope of its empirical work to a small group of participants sharing consumer characteristics and geographical location. Practical implications The research provides ideas for retailers, brands and marketers to better position their product offering as it relates to growing family concerns for ecological issues and sustainable consumption, as well as what motivates sustainable behaviours, from both the child and mothers perspective. Social implications The research identifies the immersion of sustainability into family households when there are no financial implications, influenced through campaigns, schools and society. This provides examples of what motivates sustainable behaviours for retailers and marketers to develop strategies that can be capitalised on. Originality/value The originality of the research emerges through examining how children influence sustainability within households and decision making, moving beyond health implications to educate children to be responsible consumers through play and authentic experiences.

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