Author
Purva Grover
Other affiliations: Indian Institute of Management Ahmedabad, Indian Institutes of Technology, Guru Gobind Singh Indraprastha University
Bio: Purva Grover is an academic researcher from Indian Institute of Technology Delhi. The author has contributed to research in topics: Social media & Social media analytics. The author has an hindex of 13, co-authored 24 publications receiving 651 citations. Previous affiliations of Purva Grover include Indian Institute of Management Ahmedabad & Indian Institutes of Technology.
Papers
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TL;DR: In this article, the authors investigated whether the nature of social media discussions have an impact on voting behavior during an election, through acculturation of ideologies and polarization of voter preferences, and found that discussions on Twitter could have polarized users significantly, and the reasons behind such polarization were explored using Newman and Sheth's model of voter's choice behavior.
178 citations
TL;DR: It was found that most of the existing research on big data focuses majorly on consumer discretionary, followed by public administration, and not much focus was highlighted in these studies to demonstrate the tools used for the analysis to address this gap.
Abstract: The importance of data science and big data analytics is growing very fast as organizations are gearing up to leverage their information assets to gain competitive advantage. The flexibility offered through big data analytics empowers functional as well as firm-level performance. In the first phase of the study, we attempt to analyze the research on big data published in high-quality business management journals. The analysis was visualized using tools for big data and text mining to understand the dominant themes and how they are connected. Subsequently, an industry-specific categorization of the studies was done to understand the key use cases. It was found that most of the existing research focuses majorly on consumer discretionary, followed by public administration. Methodologically, a major focus in such exploration is in social media analytics, text mining and machine learning applications for meeting objectives in marketing and supply chain management. However, it was found that not much focus was highlighted in these studies to demonstrate the tools used for the analysis. To address this gap, this study also discusses the evolution, types and usage of big data tools. The brief overview of big data technologies grouped by the services they enable and some of their applications are presented. The study categorizes these tools into big data analysis platforms, databases and data warehouses, programming languages, search tools, and data aggregation and transfer tools. Finally, based on the review, future directions for exploration in big data has been provided for academic and practice.
136 citations
TL;DR: This study explores the feasibility of AI utilization within an organization on six factors such as job-fit, complexity, long-term consequences, affect towards use, social factors and facilitating conditions for different elements of OM by mining the collective intelligence of experts on Twitter and through academic literature.
Abstract: In this digital era, data is new oil and artificial intelligence (AI) is new electricity, which is needed in different elements of operations management (OM) such as manufacturing, product development, services and supply chain. This study explores the feasibility of AI utilization within an organization on six factors such as job-fit, complexity, long-term consequences, affect towards use, social factors and facilitating conditions for different elements of OM by mining the collective intelligence of experts on Twitter and through academic literature. The study provides guidelines for managers for AI applications in different components of OM and concludes by presenting the limitations of the study along with future research directions.
125 citations
TL;DR: This study explores blockchain acceptance by mining the collective intelligence of users on Twitter and maps blockchain user acceptance drivers to technology acceptance constructs to show that users are attracted by security, privacy, transparency, trust and traceability aspects provided by blockchain.
Abstract: Although blockchain has attracted a great deal of attention from academia and industry there is a lack of studies on acceptance drivers. This study explores blockchain acceptance by mining the coll...
119 citations
TL;DR: The study reveals may be social influencer CEOs through CSR messages are trying to engage stakeholders strategically on Twitter, which in turn may had led to better CR, in terms of shares and likes by social capital present on Twitter.
109 citations
Cited by
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Swansea University1, University of Bradford2, Loughborough University3, University of Bedfordshire4, Prin. L. N. Welingkar Institute of Management Development and Research5, Aston University6, University of Edinburgh7, Indian Institute of Technology Delhi8, Delft University of Technology9, Copenhagen Business School10, Norwich University11, Government of Tamil Nadu12, University of Greenwich13, Indian Institute of Management Tiruchirappalli14, Symbiosis International University15, University of Essex16, University of the West of England17, Capgemini18
TL;DR: This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.
808 citations
Swansea University1, University of Bradford2, University of Newcastle3, Ryerson University4, University of Jyväskylä5, Paris School of Business6, University of Nevada, Las Vegas7, Symbiosis International University8, Shippensburg University of Pennsylvania9, Bundeswehr University Munich10, Manchester Metropolitan University11, University of Helsinki12, Florida Gulf Coast University13, University of Sheffield14
TL;DR: This research offers a significant and timely contribution to both researchers and practitioners in the form of challenges and opportunities where it highlights the limitations within the current research, outline the research gaps and develop the questions and propositions that can help advance knowledge within the domain of digital and social marketing.
588 citations
TL;DR: It is asserted that blockchain technology has the potential to contribute to a number of the UN Sustainability Development Goals and engender widespread change within a number-of-established industries and practices.
446 citations
TL;DR: This survey paper presents the first effort to offer a comprehensive framework that examines the latest metaverse development under the dimensions of state-of-the-art technologies and metaverse ecosystems, and illustrates the possibility of the digital `big bang' of the authors' cyberspace.
Abstract: Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We have created various computer-mediated virtual environments including social networks, video conferencing, virtual 3D worlds (e.g., VR Chat), augmented reality applications (e.g., Pokemon Go), and Non-Fungible Token Games (e.g., Upland). Such virtual environments, albeit non-perpetual and unconnected, have bought us various degrees of digital transformation. The term `metaverse' has been coined to further facilitate the digital transformation in every aspect of our physical lives. At the core of the metaverse stands the vision of an immersive Internet as a gigantic, unified, persistent, and shared realm. While the metaverse may seem futuristic, catalysed by emerging technologies such as Extended Reality, 5G, and Artificial Intelligence, the digital `big bang' of our cyberspace is not far away. This survey paper presents the first effort to offer a comprehensive framework that examines the latest metaverse development under the dimensions of state-of-the-art technologies and metaverse ecosystems, and illustrates the possibility of the digital `big bang'. First, technologies are the enablers that drive the transition from the current Internet to the metaverse. We thus examine eight enabling technologies rigorously - Extended Reality, User Interactivity (Human-Computer Interaction), Artificial Intelligence, Blockchain, Computer Vision, IoT and Robotics, Edge and Cloud computing, and Future Mobile Networks. In terms of applications, the metaverse ecosystem allows human users to live and play within a self-sustaining, persistent, and shared realm. Therefore, we discuss six user-centric factors -- Avatar, Content Creation, Virtual Economy, Social Acceptability, Security and Privacy, and Trust and Accountability. Finally, we propose a concrete research agenda for the development of the metaverse.
326 citations
TL;DR: The implementation of blockchain technology in the production and supply chain delivery system for eggs from farm to consumer by a company based in the Midwestern USA is explained and a use case for egg distribution is detailed.
275 citations