Shivam Gupta

Prof. Dr. Shivam Gupta

Department of Information Systems, Supply Chain & Decision Making, NEOMA Business School, 59 Rue Pierre Taittinger, 51100 Reims, France

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2021 in Journal of Business Research
Verified
Journal Article
Closed access
SSSanjay Kumar Singh
Sanjay Kumar Singh
Shivam GuptaShivam Gupta
Shivam Gupta
DBDonatella Busso
Donatella Busso
SKShampy Kamboj
Shampy Kamboj

1 January 2021 in International Journal of Production Economics
Verified
Journal Article
Closed access
SBSurajit Bag
Surajit Bag
Shivam GuptaShivam Gupta
Shivam Gupta
SKSameer Kumar
Sameer Kumar

1 April 2018 in International Journal of Information Management
Verified
Journal Article
Open access
SKShampy Kamboj
Shampy Kamboj
BSBijoylaxmi Sarmah
Bijoylaxmi Sarmah
Shivam GuptaShivam Gupta
Shivam Gupta
YDYogesh Dwivedi
Yogesh Dwivedi

1 July 2019 in Technological Forecasting and Social Change
Verified
Journal Article
Closed access
Shivam GuptaShivam Gupta
Shivam Gupta
HCHaozhe Chen
Haozhe Chen
BHBenjamin T. Hazen
Benjamin T. Hazen
SKSarabjot Kaur
Sarabjot Kaur
Ernesto Dr S GonzalezErnesto Dr S Gonzalez
Ernesto Dr S Gonzalez

18 June 2021 in International Journal of Manpower
Verified
Journal Article
Closed access
NMNishtha Malik
Nishtha Malik
STShalini Nath Tripathi
Shalini Nath Tripathi
Arpan Kumar KarArpan Kumar Kar
Arpan Kumar Kar
Shivam GuptaShivam Gupta
Shivam Gupta
Purpose: This study attempts to develop a practical understanding of the positive and negative employee experiences due to artificial intelligence (AI) adoption and the creation of technostress. It unravels the human resource development-related challenges with the onset of Industry 4.0.Design/methodology/approach: Semi-structured interviews were conducted with 32 professionals with average work experience of 7.6 years and working across nine industries, and the transcripts were analyzed using NVivo.Findings: The findings establish prominent adverse impacts of the adoption of AI, namely, information security, data privacy, drastic changes resulting from digital transformations and job risk and insecurity brewing in the employee psyche. This is followed by a hierarchy of factors comprising the positive impacts, namely, work-related flexibility and autonomy, creativity and innovation and overall enhancement in job performance. Further factors contributing to technostress (among employees): work overload, job insecurity and complexity were identified.Practical implications: The emerging knowledge economy and technological interventions are changing the existing job profiles, hence the need for different skillsets and technological competencies. The organizations thus need to deploy strategic manpower development measures involving up-gradation of skills and knowledge management. Inculcating requisite skills requires well-designed training programs using specialized tools and virtual reality (VR). In addition, employees need to be supported in their evolving socio-technical relationships, for managing both positive and negative outcomes.Originality/value: This research makes the unique contribution of establishing a qualitative hierarchy of prominent factors constituting unintended consequences, positive impacts and technostress creators (among employees) of AI deployment in organizational processes.

3 January 2021 in Annals of Operations Research
Verified
Journal Article
Closed access
PDF file
Shivam GuptaShivam Gupta
Shivam Gupta
SMSachin Modgil
Sachin Modgil
SBSamadrita Bhattacharyya
Samadrita Bhattacharyya
IBIndranil Bose
Indranil Bose