Perceived collaborative risk in small and medium technology enterprises

Klimczak, Karol Marek; Machowiak, Wojciech; Shachmurove, Yochanan; Staniec, Iwona

doi:10.1080/00472778.2020.1799305

Cited by 6 publications

(3 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While during a crisis, a leader needs to be decisive and quick, knowing the organization's priorities; however, they benefit from utilizing their team members and their skills to develop a plan for crisis management. ( Dirani et al, 2020 ) Shared leadership and collaboration during turbulent times can also improve team morale, boost motivation, and help the organization overcome the crisis ( Kezar & Holcombe, 2017 ; Klimczak et al, 2020 ).…”

Section: Leaders' Decision-making During a Crisismentioning

confidence: 99%

Academic libraries' leaders' decision-making during the COVID-19 crisis

Lembinen

2023

The Journal of Academic Librarianship

View full text Add to dashboard Cite

Section: Leaders' Decision-making During a Crisismentioning

confidence: 99%

Academic libraries' leaders' decision-making during the COVID-19 crisis

Lembinen

2023

The Journal of Academic Librarianship

View full text Add to dashboard Cite

“…Strengthening literacy management is a structured and actual effort to increase knowledge through access to technology platforms, information, social media, and other virtual media (Klimczak et al, 2017). So that there is an accumulation of practical, technical, and conceptual skills to manage the business better (Ahmadi & Mohd.…”

Section: Strengthening Literacy Managementmentioning

confidence: 99%

“…Creative culture and innovative behavior accelerate service cycle improvements in business activities (Klimczak et al, 2017), so that access to economic resources becomes wider, business management becomes more effective, and business process costs become more efficient. Digital business needs innovation support in all aspects of organizational functions (Yoshino & Taghizadeh-Hesary, 2019), so that business processes can produce superior value that exceeds what is offered by its competitors, so that performance results become better and can recover quickly like performance achievements before the crisis occurred (Falahat et al, 2020;Trianni et al, 2019).…”

Section: Performance Recovery Accelerationmentioning

confidence: 99%

Performance Recovery of Creative Sector Industries: Strengthening Management Literacy and Digital Business Innovation

Wahyudiono¹,

Hermanto²,

Estiasih³

et al. 2023

Preprint

View full text Add to dashboard Cite

Artificial intelligence and new business models in agriculture: the “ZERO” case study

Cavazza,

Dal Mas,

Campra

et al. 2023

View full text Add to dashboard Cite

PurposeThis study aims to investigate the use of Artificial Intelligence (AI) applied to vertical farms to evaluate whether disrupting technology supports sustainability and increases strategic business model choices in the agricultural sector. The study responds through empirical analysis to the gap on the subject of AI-driven business models present in the growing sector literature.Design/methodology/approachThe paper analyzes the case of “ZERO”, a company linked to the strategy innovation ecosystem of the Ca’ Foscari University of Venice, Italy. The empirical data were collected through a semi-structured questionnaire, interviews and the analysis of public news on the business model available in the analyzed case study. The research is empirical and uses exploratory, descriptive analysis to interpret the findings. The article focuses on the evaluation of AI impact on the agricultural sector and its potential to create new business models.FindingsThe study identified how AI can support the decision-making process leading to an increase in productivity, efficiency, product quality and cost reduction. AI helps increase these parameters through a continuous learning process and local production, and the possible decrease in prices directed toward the goal of zero km food with fresh products. AI is a winning technology to support the key elements of the vertical farm business model. However, it must be coupled with other devices, such as robots, sensors and drones, to collect enough data to enable continuous learning and improvement.Research limitations/implicationsThe research supports new research trends in AI applied to agriculture. The major implication is the construction of ecosystems between farms, technology providers, policymakers, universities, research centers and local consumer communities.Practical implicationsThe ZERO case study underlines the potential of AI as a destructive technology that, especially in vertical farms, eliminates external conditions by increasing productivity, reducing costs and responding to production needs with adequate consumption of raw materials, boosting both environmental and social sustainability.Originality/valueThe study is original, as the current literature presents few empirical case studies on AI-supporting business models in agriculture. The study also favors valuable strategic implications for the policies to be adopted in favor of new business models in agriculture.

show abstract

Perceived collaborative risk in small and medium technology enterprises

Cited by 6 publications

References 60 publications

Academic libraries' leaders' decision-making during the COVID-19 crisis

Academic libraries' leaders' decision-making during the COVID-19 crisis

Performance Recovery of Creative Sector Industries: Strengthening Management Literacy and Digital Business Innovation

Artificial intelligence and new business models in agriculture: the “ZERO” case study

Contact Info

Product

Resources

About