A social media text analytics framework for double-loop learning for citizen-centric public services: A case study of a local government Facebook use

Reddick, Christopher G.; Chatfield, Akemi Takeoka; Ojo, Adegboyega

doi:10.1016/j.giq.2016.11.001

Cited by 123 publications

(85 citation statements)

References 75 publications

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“…The data derived from social media platforms provides organisations with detailed insights into consumer opinions and views relating to their brands and products, thus allowing the organisations to adapt and tailor decisions accordingly (Wu, Zhu, Wu, & Ding, 2014). Previous studies have highlighted the majority of social media big data analysis relies techniques such as trend discovery, modelling, natural language processing (Ghani, Hamid, Targio Hashem, & Ahmed, 2018), sentiment analysis (Ohbe, Ozono, & Shintani, 2017), Social network analysis (Bonchi, Castillo, Gionis, & Jaimes, 2011), and text mining (Reddick, Chatfield, & Ojo, 2017). Furthermore, Shanthi and Pappa (2017) highlight that Natural language processing (NLP), Sentiment analysis, and Social network analysis are key big data analytics techniques used in social media, which all play a significant role in ultimately enhancing organisational decision-making.…”

Section: Integrative Role Of Big Data and Social Media Analytics For mentioning

confidence: 99%

Role of big data and social media analytics for business to business sustainability: A participatory web context

Sivarajah

Irani

Gupta

et al. 2020

Industrial Marketing Management

159

114

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Section: Integrative Role Of Big Data and Social Media Analytics For mentioning

confidence: 99%

Role of big data and social media analytics for business to business sustainability: A participatory web context

Sivarajah

Irani

Gupta

et al. 2020

Industrial Marketing Management

159

114

View full text Add to dashboard Cite

“…As a point of reference, e‐leadership is just one of several aspects of digital government. From one external perspective, effective digital government uses mass communications to inform and educate citizens and customer via websites, social media, and e‐participation, thereby promoting transparency, service awareness, and citizen empowerment (e.g., Bannister and Connolly ; Johnson and Roman ; Kim and Lee ; Mergel and Bretschneider ; Rana, Dwivedi, and Williams ; Reddick, Chatfield, and Ojo ). From another external perspective, digital government tools such as blogs (Mahler and Regan ), social media (Mergel and Bretschneider ), and crowdsourcing can be used to integrate numerous stakeholders' ideas and opinions in order to enhance collaboration and inclusive visions (e.g., Gil‐Garcia, Helbig, and Ojo ; Janowski ; Prpic, Taeihagh, and Melton ).…”

Section: E‐leadership: Definition and Significancementioning

confidence: 99%

Defining E‐leadership as Competence in ICT‐Mediated Communications: An Exploratory Assessment

Roman

Wart

Wang

et al. 2018

Public Administration Review

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While many aspects of the dramatic shifts caused by digital government have made enormous progress, the leadership of those who serve the public via electronic means has yet to take a significant step forward. This article addresses three questions: How significant has e-leadership become? What are the challenges in trying to create a more comprehensive model of defining and measuring e-leadership? And, based on current knowledge, what skill and behavioral elements are candidates for a concrete e-leadership model? The authors develop and test an original model that focuses on e-leadership as a competence in virtual communications (i.e., the use of ICT-mediated communications) and the digital opportunities and challenges that are created. The results provide strong support for the proposed model. The article concludes with a discussion of a future agenda for e-leadership research that can be developed in a manner that is fruitful for theory and practitioners. Evidence for Practice• Leadership is as much virtual as it is face-to-face today; e-leadership is an important and distinctive ability in organizational management that can lead to more effective organizational functioning. • An effective e-leader communicates clearly, provides adequate social interaction, and demonstrates technological know-how through and within virtual environments. • In the long term, effective e-leadership builds responsible teams, sets effective accountability processes, inspires change, and develops trust virtually. • E-leadership is a set of technology-mediated social influencing processes intended to change attitudes, feelings, thinking, behavior, and performance within organizations. • Six competencies lead to effective e-leadership: e-communication, e-social skills, e-change skills, e-team skills, e-tech savvy, and e-trustworthiness.

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“…On the other hand, studies using text mining analytics have also benefited governments and also academic researchers. For example, [15] analyzed how citizens learn through social media while [16] analyzed 472 articles to study the scholarly development of the enterprise level IT innovation adoption literature.…”

Section: Summarizing the Evidencementioning

confidence: 99%

“…Text Analytics [5] Full-text articles Knowledge management Researchers [15] Social media Government Governments and citizens [29] Internal databases Business strategy Corporations [30] Internal databases Healthcare Healthcare providers and patients [16] Full-text articles Information technology (innovation & adoption) Researchers outside the business context. It has been proven to be equally useful in the contexts of healthcare and information technology.…”

Section: Source Of Article Source Of Data Application Area Affected Pmentioning

confidence: 99%

The Application of Text Mining and Analytics Studies: A Systematic Literature Review

Shayya¹,

Bahri²,

Jaafar³

et al. 2018

IJCTE

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A large amount of textual data is generated everyday through information technology, especially by social media platforms such as social network sites and mobile instant messaging applications. To analyse these large amount of textual data, analysts often turn to techniques called text mining and text analytics. Unfortunately, studies using these techniques are often more occupied with developing a new or extended models rather than determining how the findings could benefit organizations or societies. This occupation with the techniques rather than how the techniques could benefit the organizations or societies at large may render these studies a "plaything for the data scientists" rather than a useful technique to enhance knowledge and improve practice. This study intends to remedy this imbalance by identifying studies that use text mining and analytics techniques to inform organizational and societal practices. To do so, we will employ a method called the systematic literature review (SLR). The technique contains explicit and systematic process that distinguishes it from the conventional literature review. Eventually, the study reveals the source of data of the selected studies, their application area and the parties that will benefit from their findings. Lastly, this study discusses how studies using text mining and analytics can provide benefits to the larger society.

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A social media text analytics framework for double-loop learning for citizen-centric public services: A case study of a local government Facebook use

Cited by 123 publications

References 75 publications

Role of big data and social media analytics for business to business sustainability: A participatory web context

Role of big data and social media analytics for business to business sustainability: A participatory web context

Defining E‐leadership as Competence in ICT‐Mediated Communications: An Exploratory Assessment

The Application of Text Mining and Analytics Studies: A Systematic Literature Review

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