Ignoring the three-way interaction of digital orientation, Not-invented-here syndrome and employee's artificial intelligence awareness in digital innovation performance: A recipe for failure

Pérez, Jose Enrique Arias; Vélez-Jaramillo, Juan

doi:10.1016/j.techfore.2021.121305

Cited by 40 publications

(22 citation statements)

References 56 publications

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“…Therefore, AI adoption provides new patterns for the processing of information, which helps in introducing novel forms of digital innovation in technology firms. AI adoption helps in the storage and sharing of digital information in the firms through re-programmability and self-referencing ability, which increases digital innovation in firms [24]. AI adoption provides an enhanced understanding that drives high digital resilience characteristics in individuals, which facilitates the driving and increasing of digital innovation in firms.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, AI adoption provides new patterns for the processing of information, which helps to introduce novel ways of digital innovation in technology firms. AI adoption helps in the storage and sharing of digital information in firms through the re-programmability and self-referencing ability that increases the digital innovation in firms [24]. Digital innovation is the formation of the advance market offerings, models, and business practices resulting from the usage of AI adoption applications [25].…”

Section: Hypothesis Development: Ai Adoption and Digital Innovationmentioning

confidence: 99%

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Artificial Intelligence Adoption and Digital Innovation: How Does Digital Resilience Act as a Mediator and Training Protocols as a Moderator?

Zeng

Yousaf³

2022

Sustainability

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This study aims to discover how technology firms accomplish digital innovation through AI adoption. The current research also investigated digital resilience’s role as a mediator and training protocol’s role as a moderator between AI adoption and digital innovation links. The data collection and analysis were conducted using a quantitative method. To examine the research hypotheses, we chose technology firms that face problems regarding the enhancement of digital innovation. The findings confirmed that the digital innovation of technology firms is forecasted through AI adoption. The results proved that digital resilience plays a mediating role between AI adoption and digital innovation links. Technology firms play a key role in the advancement of digital technology. This research study adds to the existing knowledge by offering a digital innovation model with the combined influence of AI adoption, digital resilience, and training protocol. This study will be helpful for top management by showing when, why, and how AI adoption helps firms in their achievement of digital innovation. Moreover, digital resilience’s role is also important in the current digitalized world; thus, we used digital resilience as mediator in this research.

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Section: Discussionmentioning

confidence: 99%

Section: Hypothesis Development: Ai Adoption and Digital Innovationmentioning

confidence: 99%

Artificial Intelligence Adoption and Digital Innovation: How Does Digital Resilience Act as a Mediator and Training Protocols as a Moderator?

Zeng

Yousaf³

2022

Sustainability

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“…Firm performance may vary depending on the different firm features ( Zhang et al, 2020 ), such as the age ( Bag et al, 2021b ; Chen and Chen, 2021 ) and the number of employees ( Pinheiro et al, 2021 ; Arias-Pérez and Vélez-Jaramillo, 2022 ). We construct these two features as control variables in this study.…”

Section: Literature Review and Conceptual Modelmentioning

confidence: 99%

The Impact of Artificial Intelligence on Firm Performance: An Application of the Resource-Based View to e-Commerce Firms

2022

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The application of artificial intelligence (AI) technology has evolved into an influential endeavor to improve firm performance, but little research considers the relationship among artificial intelligence capability (AIC), management (AIM), driven decision making (AIDDM), and firm performance. Based on the resource-based view (RBV) and existing findings, this paper constructs a higher-order model of AIC and suggests a research model of e-commerce firm AIC and firm performance. We collected 394 valid questionnaires and conducted data analysis using partial least squares structural equation modeling (PLS-SEM). As a second-order variable, AIC was formed by three first-order variables: basic, proclivity, and skills. AIC indirectly affects firm performance through creativity, AIM, and AI-driven decision making. Firm creativity, AIM, and AIDDM are essential variables between AIC and firm performance. Innovation culture (IC) positive moderates the relationship between firm creativity and AIDDM as well as the relationship between AIDDM and firm performance. Environmental dynamism (ED) positive mediates the connection between AIM and AIDDM. Among the control variables, firm age negatively affects firm performance, and employee size does not. This study helps enterprises leverage AI to improve firm performance, achieve a competitive advantage, and contribute to theory and management practice.

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“…Hackman and Oldham (1980) argued that employees with high GNS are more inclined to update their professional knowledge and working skills, concentrated on in-depth processing of professional knowledge, thereby further deepening their understanding of work ( Wang et al, 2018 ). Abundant task experience and diversified knowledge improve employees’ cognitive flexibility, formulating the knowledge and ability foundation for improving innovation performance ( Arias-Pére and Vélez-Jaramillo, 2022 ).…”

Section: Theory and Hypothesismentioning

confidence: 99%

Support or Suppress? Research on the Mechanism of Employee’s GNS on Innovation Performance: From the Perspective of Status Competition

Tang

Ding²,

Hu³

et al. 2022

Front. Psychol.

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The purpose of this paper is to investigate how supervisor’s mental state and behavior choice affect the relationship between employees’ strong growth need (GNS) and their innovation performance. Using 210 sets of supervisor-subordinate dyads data from two-wave survey, this research reveals that GNS has a significant positive effect on innovation performance, and leader–member exchange (LMX) mediates the effect of GNS on innovation performance. Supervisor perceived status threat moderates the relationship between GNS and LMX, such that this relationship gets weaker for supervisors with higher perceived status threat. Furthermore, supervisor perceived status threat moderates the relationship between GNS and innovation performance, such that this relationship becomes weaker for supervisors with higher perceived status threat. The study concludes with theoretical and practical implications, as well as future research avenues.

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Ignoring the three-way interaction of digital orientation, Not-invented-here syndrome and employee's artificial intelligence awareness in digital innovation performance: A recipe for failure

Cited by 40 publications

References 56 publications

Artificial Intelligence Adoption and Digital Innovation: How Does Digital Resilience Act as a Mediator and Training Protocols as a Moderator?

Artificial Intelligence Adoption and Digital Innovation: How Does Digital Resilience Act as a Mediator and Training Protocols as a Moderator?

The Impact of Artificial Intelligence on Firm Performance: An Application of the Resource-Based View to e-Commerce Firms

Support or Suppress? Research on the Mechanism of Employee’s GNS on Innovation Performance: From the Perspective of Status Competition

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