Surabhi Verma
Biographic Data
| ID | 4455387 |
|---|---|
| NAME | Surabhi Verma |
| GIVEN NAMES | Surabhi |
| FAMILY NAME | Verma |
| SIGNATURE | VERMA S |
| AFFILIATIONS | University of Southern Denmark |
| ORCID | 0000-0001-7641-0637 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Elevating employees’ psychological responses and task performance through responsible artificial intelligence
Purpose In this study, we investigated the positive and negative effects of stress that is driven by responsible artificial intelligence (RAI) principles on employee job outcomes by adapting the challenge–hindrance stressors model. Design/methodology/approach The study design involved empirically validating the proposed model on 299 respondents who use AI for work-related tasks. Findings The results revealed several RAI-driven challenge and hindr…
Investigating the mediating role of willingness to use enterprise bots on white-collar teleworker productivity
Artificial intelligence (AI) applications like ‘enterprise bots' (EB) have been increasingly used in contexts beyond the traditional digital workplace to support white-collar employees’ telework tasks. Given the lack of empirical studies on this paper aims (1) to explore the job demands and personal resources factors which can lead to employee willingness to use and telework productivity, and (2) to examine the mediating role of willingness to us…
Voice assistants in private households
The present study identifies, organizes, and structures the available scientific knowledge on the recent use and the prospects of Voice Assistants (VA) in private households. The systematic review of the 207 articles from the Computer, Social, and Business and Management research domains combines bibliometric with qualitative content analysis. The study contributes to earlier research by consolidating the as yet dispersed insights from scholarly …
Impact of Covid-19 awareness and technological anxiety on “mandatory telework”
Purpose The uncontrolled spread of COVID-19 has forced employees to use telework technologies and platforms to perform different tasks, that is, “mandatory telework”. COVID-19 is a unique situation that has shocked economies and societies and led to a reshaping of the perception of employees and firms about work practices. However, due to the recent nature of the phenomenon, it is not usually understood how employees would cope with this forced c…
Consumer-desired far-future circular economy scenarios with blockchain application
Despite the scholarly consent that blockchain technology can play a central role for implementing circular economies (CEs) to arrive at cleaner consumption and production, the blockchain adoption rate by companies for this purpose is low. While this might be partly caused by technology maturity problems, scholars also recognize a lack of vision about blockchain technology applications that might assist companies in implementing CE business models…
Impact of artificial intelligence-enabled job characteristics and perceived substitution crisis on innovative work behavior of employees from high-tech firms
Unearthing the response pattern of Covid-19 research in social sciences
Purpose The sudden onset of COVID-19 has brought about a watershed moment in the current research across all disciplines. As it has impacted almost all aspects of human existence, academicians are aggressively trying to understand the phenomenon from multidisciplinary perspectives. In this regard, the present study attempts to provide an in-depth understanding of academia's response pattern in the field of social sciences using a grounded theory …
A large multi-group decision-making technique for prioritizing the big data-driven circular economy practices in the automobile component manufacturing industry
The present study uses a large group decision-making technique to identify and rank the best big data-driven circular economy (BDDCE) practices in the auto-component industry. The data pertaining to the BDDCE practices were collected from the decision-makers in three groups, namely, purchasing, manufacturing, and logistics & marketing function from the auto-component manufacturing industry. First, the consensus on the BDDCE practices within the g…
Investigating the emerging Covid-19 research trends in the field of business and management
The intellectual contours of corporate social responsibility literature
Purpose Corporate Social Responsibility (CSR) deliberated regarding business firms' actions for doing well to society and natural environment. Specifically, CSR has been about firms contributions towards stakeholder management. As world economy has prospered over the last couple of centuries, business firms have had also increased its footprints in social landscape. In such a scenario, the roles and responsibilities of business firms have expande…
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Investigating the emerging Covid-19 research trends in the field of business and management
The intellectual contours of corporate social responsibility literature
Purpose Corporate Social Responsibility (CSR) deliberated regarding business firms' actions for doing well to society and natural environment. Specifically, CSR has been about firms contributions towards stakeholder management. As world economy has prospered over the last couple of centuries, business firms have had also increased its footprints in social landscape. In such a scenario, the roles and responsibilities of business firms have expande…
A large multi-group decision-making technique for prioritizing the big data-driven circular economy practices in the automobile component manufacturing industry
The present study uses a large group decision-making technique to identify and rank the best big data-driven circular economy (BDDCE) practices in the auto-component industry. The data pertaining to the BDDCE practices were collected from the decision-makers in three groups, namely, purchasing, manufacturing, and logistics & marketing function from the auto-component manufacturing industry. First, the consensus on the BDDCE practices within the g…
Consumer-desired far-future circular economy scenarios with blockchain application
Despite the scholarly consent that blockchain technology can play a central role for implementing circular economies (CEs) to arrive at cleaner consumption and production, the blockchain adoption rate by companies for this purpose is low. While this might be partly caused by technology maturity problems, scholars also recognize a lack of vision about blockchain technology applications that might assist companies in implementing CE business models…
Impact of artificial intelligence-enabled job characteristics and perceived substitution crisis on innovative work behavior of employees from high-tech firms
Unearthing the response pattern of Covid-19 research in social sciences
Purpose The sudden onset of COVID-19 has brought about a watershed moment in the current research across all disciplines. As it has impacted almost all aspects of human existence, academicians are aggressively trying to understand the phenomenon from multidisciplinary perspectives. In this regard, the present study attempts to provide an in-depth understanding of academia's response pattern in the field of social sciences using a grounded theory …
Voice assistants in private households
The present study identifies, organizes, and structures the available scientific knowledge on the recent use and the prospects of Voice Assistants (VA) in private households. The systematic review of the 207 articles from the Computer, Social, and Business and Management research domains combines bibliometric with qualitative content analysis. The study contributes to earlier research by consolidating the as yet dispersed insights from scholarly …
Impact of Covid-19 awareness and technological anxiety on “mandatory telework”
Purpose The uncontrolled spread of COVID-19 has forced employees to use telework technologies and platforms to perform different tasks, that is, “mandatory telework”. COVID-19 is a unique situation that has shocked economies and societies and led to a reshaping of the perception of employees and firms about work practices. However, due to the recent nature of the phenomenon, it is not usually understood how employees would cope with this forced c…
Elevating employees’ psychological responses and task performance through responsible artificial intelligence
Purpose In this study, we investigated the positive and negative effects of stress that is driven by responsible artificial intelligence (RAI) principles on employee job outcomes by adapting the challenge–hindrance stressors model. Design/methodology/approach The study design involved empirically validating the proposed model on 299 respondents who use AI for work-related tasks. Findings The results revealed several RAI-driven challenge and hindr…
Investigating the mediating role of willingness to use enterprise bots on white-collar teleworker productivity
Artificial intelligence (AI) applications like ‘enterprise bots' (EB) have been increasingly used in contexts beyond the traditional digital workplace to support white-collar employees’ telework tasks. Given the lack of empirical studies on this paper aims (1) to explore the job demands and personal resources factors which can lead to employee willingness to use and telework productivity, and (2) to examine the mediating role of willingness to us…
Computer Science (7 works) · Business (6 works) · Engineering (4 works) · Political science (4 works) · Psychology (4 works) · Sociology (4 works) · 2019-20 coronavirus outbreak (3 works) · Medicine (3 works) · AI in Service Interactions (2 works) · Circular economy (2 works)