The Individual Dimension of Digital Innovation: The Altered Roles of Innovation Agents and Market Actors

Allataifeh, Haneen; Moghavvemi, Sedigheh

doi:10.3390/su13168971

Cited by 3 publications

(2 citation statements)

References 43 publications

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“…It is observed that digital technology alters the individual dimension of the innovation process, allowing for a set of heterogeneous actors to become active engagers in the adoption process. A review of previous research revealed a lack of focus on the roles these different actors play in the digital innovation process, as well as the mechanisms by which digital technology facilitates actor engagement, calling for research to shed some light on this topic (Allataifeh & Moghavvemi, 2021;Yang et al, 2021). In this study, traits connected with the perception of BDM and ERMS expected outcomes, and which help one in one's adoption of BDM are classified as individual traits.…”

Section: Individual Dimensionmentioning

confidence: 99%

The Influence of Big Data Management on Organizational Performance in Organizations: The Role of Electronic Records Management System Potentiality

Hawash

Mukred

Mokhtar

et al. 2023

IJIKM

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Aim/Purpose: The use of digital technology, such as an electronic records management system (ERMS), has prompted widespread changes across organizations. The organization needs to support its operations with an automation system to improve production performance. This study investigates ERMS’s potentiality to enhance organizational performance in the oil and gas industry. Background: Oil and gas organizations generate enormous electronic records that lead to difficulties in managing them without any system or digitalization procedure. The need to use a system to manage big data and records affects information security and creates several problems. This study supports decision-makers in oil and gas organizations to use ERMS to enhance organizational performance. Methodology: We used a quantitative method by integrating the typical partial least squares (SEM-PLS) approach, including measurement items, respondents’ demographics, sampling and collection of data, and data analysis. The SEM-PLS approach uses a measurement and structural model assessment to analyze data. Contribution: This study contributes significantly to theory and practice by providing advancements in identity theory in the context of big data management and electronic records management. This study is a foundation for further research on the role of ERMS in operations performance and Big Data Management (BDM). This research makes a theoretical contribution by studying a theory-driven framework that may serve as an essential lens to evaluate the role of ERMS in performance and increase its potentiality in the future. This research also evaluated the combined impacts of general technology acceptance theory elements and identity theory in the context of ERMS to support data management. Findings: This study provides an empirically tested model that helps organizations to adopt ERMS based on the influence of big data management. The current study’s findings looked at the concerns of oil and gas organizations about integrating new technologies to support organizational performance. The results demonstrated that individual characteristics of users in oil and gas organizations, in conjunction with administrative features, are robust predictors of ERMS. The results show that ERMS potentiality significantly influences the organizational performance of oil and gas organizations. The research results fit the big ideas about how big data management and ERMS affect respondents to adopt new technologies. Recommendations for Practitioners: This study contributes significantly to the theory and practice of ERMS potentiality and BDM by developing and validating a new framework for adopting ERMS to support the performance and production of oil and gas organizations. The current study adds a new framework to identity theory in the context of ERMS and BDM. It increases the perceived benefits of using ERMS in protecting the credibility and authenticity of electronic records in oil and gas organizations. Recommendation for Researchers: This study serves as a foundation for future research into the function and influence of big data management on ERMS that support the organizational performance. Researchers can examine the framework of this study in other nations in the future, and they will be able to analyze this research framework to compare various results in other countries and expand ERMS generalizability and efficacy. Impact on Society: ERMS and its impact on BDM is still a developing field, and readers of this article can assist in gaining a better understanding of the literature’s dissemination of ERMS adoption in the oil and gas industry. This study presents an experimentally validated model of ERMS adoption with the effect of BDM in the oil and gas industry. Future Research: In the future, researchers may be able to examine the impact of BDM and user technology fit as critical factors in adopting ERMS by using different theories or locations. Furthermore, researchers may include the moderating impact of demographical parameters such as age, gender, wealth, and experience into this study model to make it even more robust and comprehensive. In addition, future research may examine the significant direct correlations between human traits, organizational features, and individual perceptions of BDM that are directly related to ERMS potentiality and operational performance in the future.

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Section: Individual Dimensionmentioning

confidence: 99%

The Influence of Big Data Management on Organizational Performance in Organizations: The Role of Electronic Records Management System Potentiality

Hawash

Mukred

Mokhtar

et al. 2023

IJIKM

View full text Add to dashboard Cite

show abstract

“…Therefore, scholars recommend focusing on dynamic models, which would readily adapt to changing contexts. Developing such dynamic models involves examining and explaining the digital innovation process in terms of the interplay between the market and technological dimensions of the innovation process and the need-solution pairing perspective (Allataifeh and Moghavvemi, 2021;Makkonen and Komulainen, 2018;Nambisan et al, 2017;von Hippel and von Krogh, 2016).…”

Section: The Digital Innovation Process and Its Market And Technology...mentioning

confidence: 99%

How does the digital innovation process unfold in practice? A novel third-generation and empirical-based need–solution pairing model

Allataifeh

Moghavvemi

Peerally

2021

EJIM

Self Cite

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PurposeThere is a lack of empirical-based models derived from practice to explain the digital innovation process. The authors investigate how the digital innovation process unfolds in practice.Design/methodology/approachThe authors undertake an exploratory and phenomenological study of 21 Malaysian small and medium enterprises (SMEs) in the information and communication technology (ICT) sector.FindingsThe findings show that the delineation between digital innovation process and outcome is blurred in practice, due to the process' iterative nature. Under this process, customers' role has changed from being passive receivers of innovative products to active reviewers, testers, influential decision-makers, initiators and co-creators at different review points in the innovation process. Enterprises' role has expanded from being the initiator of the innovation process to being a cogitative actor by seeking and absorbing knowledge from customer reviews into the digital innovation process. Market analysis is often the initiator of the digital innovation process, and the findings shed light on the underlying causative mechanisms of the initiation stage, which are understudied and not well understood in the existing literature.Originality/valueThe study contributes to academic knowledge by answering scholars' call for developing third-generation practice-based innovation models, which accounts for enterprises' context-specificities and internal and external environments, and for exploring the suitability of the need–solution fit approach for the digital innovation process. Such models have only been conceptually advocated in the literature. The study also informs practitioners on the organizational and operational activities involved in managing and strategizing for the digital innovation process.

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Learnings from Post Merger Integration for Innovation Management – Characteristics of an Innovation Agent

Niklas¹,

Fabbro²,

Segura³

et al. 2022

Communications in Computer and Information Science

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The Individual Dimension of Digital Innovation: The Altered Roles of Innovation Agents and Market Actors

Cited by 3 publications

References 43 publications

The Influence of Big Data Management on Organizational Performance in Organizations: The Role of Electronic Records Management System Potentiality

The Influence of Big Data Management on Organizational Performance in Organizations: The Role of Electronic Records Management System Potentiality

How does the digital innovation process unfold in practice? A novel third-generation and empirical-based need–solution pairing model

Learnings from Post Merger Integration for Innovation Management – Characteristics of an Innovation Agent

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