SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Navigating the metaverse: unravelling employees’ sentiments and satisfaction from metaverse-based training reviews
16 references·0 citing·43 second hop
Navigating the metaverse: unravelling employees’ sentiments and satisfaction from metaverse-based training reviews (2025)Navigating the metaverse: unravelling emp…The Metaverse: A new digital frontier for consumer behavior (2023)The Metaverse: A new digital …Shaping the Metaverse into Reality: A Holistic Multidisciplinary Understanding of Opportunities, Challenges, and Avenues for Future Investigation (2023)Shaping the Metaverse into Re…Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT (2023)Human resource management in …Metaverse marketing: How the metaverse will shape the future of consumer research and practice (2022)Metaverse marketing: How the …Metaverse as a driver for customer experience and value co-creation: implications for hospitality and tourism management and marketing (2022)Metaverse as a driver for cus…Marketing in the Metaverse: Conceptual understanding, framework, and research agenda (2022)Marketing in the Metaverse: C…Employee experience –the missing link for engaging employees: Insights from an MNE 's AI ‐based HR ecosystem (2022)Employee experience –the miss…The Janus Face of Artificial Intelligence Feedback: Deployment Versus Disclosure Effects on Employee Performance (2021)The Janus Face of Artificial …Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies (2021)Artificial intelligence and h…COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions (2020)COVID‐19 Pandemic in the New …The Feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI) (2019)The Feeling Economy: Managing…What can big data and text analytics tell us about hotel guest experience and satisfaction? (2014)What can big data and text an…Structural Topic Models for Open‐Ended Survey Responses (2014)Structural Topic Models for O…Big Data and Management (2014)Big Data and ManagementText as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)Text as Data: The Promise and…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy mechanism in human agency. (1982)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)User Acceptance of Information Technology: Toward A Unified View1 (2003)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Work and the Nature of Man. (1967)Content Analysis: An Introduction to its Methodology. (1984)A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism (2016)Big data in tourism research: A literature review (2018)Predicting overall customer satisfaction: Big data evidence from hotel online textual reviews (2018)Content Analysis: An Introduction to Its Methodology (2019)The Content Analysis Guidebook (2017)stm : An R Package for Structural Topic Models (2019)Text as Data (2019)Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability (2002)Computational Social Science (2009)A Model of Text for Experimentation in the Social Sciences (2016)The Diversity–Innovation Paradox in Science (2020)Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations (1996)Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Using thematic analysis in psychology (2006)Exploring the Darkverse: A Multi-Perspective Analysis of the Negative Societal Impacts of the Metaverse (2023)Social media influencers: An effective marketing approach? (2023)Virtual influencer marketing: the good, the bad and the unreal (2023)Critical service logic: making sense of value creation and co-creation (2012)Consumer engagement in online brand communities: a social media perspective (2015)Setting the future of digital and social media marketing research: Perspectives and research propositions (2020)Brands are calling your AVATAR in Metaverse–A study to explore XR ‐based gamification marketing activities & consumer‐based brand equity in virtual world (2023)Firm Resources and Sustained Competitive Advantage (1991)How Many Interviews Are Enough? (2005)Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence? (2023)Artificial intelligence in logistics and supply chain management: A primer and roadmap for research (2023)The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda (2024)Critical analysis of Big Data challenges and analytical methods (2016)Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal (2018)Algorithms at Work: The New Contested Terrain of Control (2019)Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization (2020)A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective (2021)AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework (2022)Metaverse as a disruptive technology revolutionising tourism management and marketing (2023)Organizational digital transformation: from evolution to future trends (2023)How to combine and clean bibliometric data and use bibliometric tools synergistically: Guidelines using metaverse research (2024)
this work references cited by second hop

References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
  • 2014Structural Topic Models for Open‐Ended Survey Responses1,967 cited
  • 2014Big Data and Management1,198 cited
  • 2014What can big data and text analytics tell us about hotel guest experience and satisfaction?949 cited
  • 2023Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT903 cited
  • 2022Metaverse marketing: How the metaverse will shape the future of consumer research and practice902 cited
  • 2022Marketing in the Metaverse: Conceptual understanding, framework, and research agenda678 cited
  • 2019The Feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI)587 cited
  • 2023Shaping the Metaverse into Reality: A Holistic Multidisciplinary Understanding of Opportunities, Challenges, and Avenues for Future Investigation578 cited
  • 2022Metaverse as a driver for customer experience and value co-creation: implications for hospitality and tourism management and marketing537 cited
  • 2021The Janus Face of Artificial Intelligence Feedback: Deployment Versus Disclosure Effects on Employee Performance530 cited
  • 2023The Metaverse: A new digital frontier for consumer behavior403 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2021Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies365 cited
  • 2020COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions321 cited
  • 2022Employee experience –the missing link for engaging employees: Insights from an MNE 's AI ‐based HR ecosystem284 cited
  • Cited by

    No citing works inside the corpus for this window.