Automation-driven innovation management? Toward Innovation-Automation-Strategy cycle

Makowski, Piotr Tomasz; Kajikawa, Yuya

doi:10.1016/j.techfore.2021.120723

Cited by 21 publications

(7 citation statements)

References 77 publications

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“…Through them, it is possible to produce online documents, mass customized services, outsourced legal processes, web-based conflict resolution practice, online arbitration, online audiences, greater access and information security. Bourke et al (2020) corroborate with this study, where the generation and implementation of ideas are based on resources, skills and staff within organisations, since automation increases and optimises workflow, in addition to enabling us to save resources and increase productivity (Makowski;Kajikawa, 2021).…”

Section: Theoretical Referencesupporting

confidence: 75%

“…Under the look of pressing need of a policy of innovation, and legitimising the proposed study of innovation in the public sector, facing the lack of versatile public services, demands from organisations a new proposal for a management model (Klumb;Hoffmann, 2016), "one of these important issues is to investigate the types of innovations that develop in the public sector, and if your study is analytically feasible in the light of theoretical models already used to analyse the service sector in general" (Ferreira et al, 2015, p. 100), which was also studied by Makowski and Kajikawa (2021); Castro and Guimarães (2020); Teixeira et al (2020); Sucupira et al (2019) and Sousa and Guimarães (2018).…”

Section: Theoretical Referencementioning

confidence: 99%

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Innovations in courts: Validation of a scale of technological innovation

Barbosa¹,

Sousa²,

Nacife³

et al. 2022

R. G. Secr.

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The development of studies on technological innovations in the public sector, specifically in justice system, is still little explored in the literature. This article aimed to develop and validate a scale of technological innovation in the justice system during the period of the COVID-19 pandemic. Data collection procedures were carried out by means of questionnaires sent to 20.727 e-mails of civil servants and judges of the state courts of justice in Brazil. The relationships among the innovation variables that make up the technological innovation construct in the Brazilian judiciary were studied. The factor analyses resulted in the main factors listed by the respondents, as the innovative trend factor (IT); technological resources factor (TR); governance factor and its evidence (G); and innovation and technology factor (IT). For responses to the studies, descriptive statistical analysis was performed, and the innovative sensitivity and technological integration variables presented greater commonalities, and the two factors extracted explain 74% and 67% of the variance. After the descriptive statistical treatment, the confidence level was 99% and the error margin was 4.87%, resulting in a sample of 679 respondents.

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Section: Theoretical Referencesupporting

confidence: 75%

Section: Theoretical Referencementioning

confidence: 99%

Innovations in courts: Validation of a scale of technological innovation

Barbosa¹,

Sousa²,

Nacife³

et al. 2022

R. G. Secr.

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“…On the one hand, tacit knowledge exchange among individuals still constitutes the knowledge management strategy that most influences improvisation. Hence, the company needs people to understand AI and to devise ways of dealing with this new technological challenge (Makowski and Kajikawa, 2021). At the same time, the firm inevitably has to conceive a plan to replace individuals with intelligent robots to remain competitive as the adoption of this technology by competitors and in the sector is growing (H€ anninen et al, 2018;Wamba-Taguimdje et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Knowledge management strategies and organizational improvisation: what changed after the emergence of technological turbulence caused by artificial intelligence?

Pérez

Cepeda-Cardona

2022

BJM

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PurposeThis paper aims to analyze the moderating effect of technological turbulence caused by artificial intelligence on the relationship between the traditional knowledge management strategies of personalization (tacit knowledge) and codification (explicit knowledge), and organizational improvisation, which refers to the firm's ability to generate ideas and respond to changes in the technological environment in real time. Until now, individuals have played a key and indispensable role in organizational improvisation since they are the owners of tacit knowledge and users of explicit knowledge.Design/methodology/approachThe research model was tested in a sample of firms from sectors in which the adoption of intelligent robots is growing.FindingsBoth personalization and codification have a positive and significant influence on improvisation, the former to a greater extent. Nevertheless, when technological turbulence caused by artificial intelligence occurs, the relationship between personalization and improvisation is weakened, whereas the link between codification and improvisation is strengthened.Originality/valueContrary to the pre-digital literature consensus, explicit knowledge is becoming the new major driver of organizational improvisation, while tacit knowledge sharing is losing strength and relevance. This finding may be a first indication that intelligent robots are the new exponents of improvisation for their ability to respond to changes in the environment in real time because of a combination of explicit knowledge, beyond being a mere support tool for humans.

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“…In this research stream, authors mainly develop frameworks for a projective view on the most suitable capabilities, preconditions, and practices, required for achieving a future innovation roadmap, for entrepreneurial agents [56], crowdsourcing innovators [58], and green organisational initiatives [34], as well as theorizing on the relations between process, technology, and management innovations [59]. In specific, the future opportunities for finance, auditing, and banking systems are widely discussed among scholars.…”

Section: Review Of Theories Framework and Literature On The Role Of New Technologies And Accelerating The Innovation Roadmapmentioning

confidence: 99%

Shaping a View on the Influence of Technologies on Sustainable Tourism

Loureiro

Nascimento

2021

Sustainability

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To date, tourism is the fastest growing industry globally, but one of the least developed in terms of environmentally sustainable practices. However, only a small portion of documents elaborate on how the introduction of new technologies can impact a more sustainable development route for tourism. This study’s objective is to provide an overview on literature state-of-the-art related to sustainable tourism and technological innovations, offering insights for further advancing this domain. We employ a bibliometric analysis and a comprehensive review of 139 articles, collected from Web of Science and Scopus databases, for the purpose of: (i) exploring and discussing the most relevant contributions in the publication network: (ii) highlighting key issues and emerging topics; (iii) uncovering open questions for the future. Our findings reveal contradictory views on the risks and benefits of technology adoption. Artificial intelligence, internet of things, circular economy, big data, augmented and virtual reality emerge as major trends. Five work streams are identified and described, leading to a broader perspective on how technology can shape the future of sustainable tourism. Relevant theoretical and managerial implications are derived. Finally, a research agenda is proposed as guidance for future studies addressing the outcomes of digital disruption on sustainable tourism.

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Automation-driven innovation management? Toward Innovation-Automation-Strategy cycle

Cited by 21 publications

References 77 publications

Innovations in courts: Validation of a scale of technological innovation

Innovations in courts: Validation of a scale of technological innovation

Knowledge management strategies and organizational improvisation: what changed after the emergence of technological turbulence caused by artificial intelligence?

Shaping a View on the Influence of Technologies on Sustainable Tourism

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