Resistance to (Digital) Change

Scholkmann, Antonia

doi:10.1007/978-3-030-55878-9_13

Cited by 26 publications

(7 citation statements)

References 87 publications

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“…Another significant challenge in implementing digitization in the wine industry is the resistance to change and the lack of an innovative mindset among industry stakeholders. The wine industry, like many traditional sectors, often exhibits a conservative and riskaverse culture that can impede the adoption of new technologies and digital solutions [13].…”

Section: Resistance To Change and Lack Of Innovative Mindsetmentioning

confidence: 99%

Digitalization from vine to wine: Successes and remaining challenges - A review

Bastard,

Chaillet

2023

BIO Web Conf.

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This review examines the successes and remaining challenges of digitalization in the wine industry, from the vineyard to the winery. The article highlights several examples of successful digital applications in the industry, including precision viticulture, data-driven decision-making, and supply chain optimization. However, the review also discusses the challenges associated with implementing digital solutions in the industry, such as the need for interoperability between different systems, data privacy concerns, and the cost of investment. The authors argue that the successful implementation of digital solutions in the wine industry will require a collaborative effort between industry stakeholders and the development of common standards and protocols. The review also examines the potential of emerging digital technologies, such as the Internet of Things (IoT) and blockchain, to further enhance the efficiency and sustainability of the wine industry. However, the authors caution that the adoption of these technologies will depend on their ability to address specific industry challenges and provide real value to stakeholders. Overall, the review concludes that the digitalization of the wine industry offers significant opportunities for increased efficiency, sustainability, and profitability. However, the successful implementation of digital solutions will require a strategic and collaborative approach, as well as ongoing investment in technology and education.

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Section: Resistance To Change and Lack Of Innovative Mindsetmentioning

confidence: 99%

Digitalization from vine to wine: Successes and remaining challenges - A review

Bastard,

Chaillet

2023

BIO Web Conf.

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“…The implementation of new ML initiatives is frequently blocked by organizational resistance to change (Ansaldi et al, 2021;Scholkmann, 2021;Schuetz & Venkatesh, 2020;Côrte-Real et al, 2019). Organizational resistance to change occurs when organizations lack readiness and willingness to change their current technologies and underlying processes (Dennehy et al, 2021;Dubey et al, 2015;(Raut et al, 2021;Alharthi et al, 2017).…”

Section: Resistance To Changementioning

confidence: 99%

“…The implementation of new ML initiatives is frequently blocked by organisational resistance to change (Ansaldi et al. , 2021; Scholkmann, 2021; Schuetz and Venkatesh, 2020; Côrte-Real et al. , 2019).…”

Section: Systematic Review Of Barriers To ML Implementationmentioning

confidence: 99%

Modelling the relationships between the barriers to implementing machine learning for accident analysis: the Indian petroleum industry

Gangadhari

Khanzode

Murthy

et al. 2022

BIJ

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PurposeThis paper aims to identify, prioritise and explore the relationships between the various barriers that are hindering the machine learning (ML) adaptation for analysing accident data information in the Indian petroleum industry.Design/methodology/approachThe preferred reporting items for systematic reviews and meta-analysis (PRISMA) is initially used to identify key barriers as reported in extant literature. The decision-making trial and evaluation laboratory (DEMATEL) technique is then used to discover the interrelationships between the barriers, which are then prioritised, based on three criteria (time, cost and relative importance) using complex proportional assessment (COPRAS) and multi-objective optimisation method by ratio analysis (MOORA). The Delphi method is used to obtain and analyse data from 10 petroleum experts who work at various petroleum facilities in India.FindingsThe findings provide practical insights for management and accident data analysts to use ML techniques when analysing large amounts of data. The analysis of barriers will help organisations focus resources on the most significant obstacles to overcome barriers to adopt ML as the primary tool for accident data analysis, which can save time, money and enable the exploration of valuable insights from the data.Originality/valueThis is the first study to use a hybrid three-phase methodology and consult with domain experts in the petroleum industry to rank and analyse the relationship between these barriers.

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“…The integration of e-learning in higher education has become a global phenomenon, enabling institutions to extend their reach and enhance student access to quality education [1]. The growth of ICT has fostered the development of innovative distribution and learning methods, leading to meaningful learning experiences in academic settings [1,2]. However, the adoption of e-learning is not without challenges, particularly in countries where it is still in nascent stages.…”

Section: Introductionmentioning

confidence: 99%

“…However, the adoption of e-learning is not without challenges, particularly in countries where it is still in nascent stages. These challenges include a lack of ICT infrastructure, leadership, adequate training for instructors and learners, and a comprehensive elearning strategy [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact of E-Learning Adoption on Learning Behavior in Sierra Leonean Higher Education

Sawaneh,

Sesay,

Mansaray

et al. 2024

AJESS

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This study aims to analyze the adoption of e-learning in higher education institutions in Sierra Leone and its impact on learning Behavior using the Technology Acceptance Model (TAM). The research employs a survey design, utilizing Structural Equation Modeling (SEM), to analyze the responses of students and lecturers. The study was conducted in Sierra Leone, involving ten universities. The duration of the study is not specified. 728 students and 327 lecturers were surveyed to assess their attitudes towards e-learning. The TAM was used to predict behaviors based on the perceived usefulness and ease of use of e-learning tools, such as mobile devices and social networking applications. The findings indicate that e-learning is more likely to be adopted if the tools are perceived as useful and easy to use. Additionally, prior experience with computers enhances the positive perception of e-learning's attributes and attitudes toward its utilization. The study highlights the potential of e-learning in developing countries like Sierra Leone. It provides insights for stakeholders in the education sector to develop strategies that can promote the adoption of e-learning in regions with similar developmental profiles.

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Resistance to (Digital) Change

Cited by 26 publications

References 87 publications

Digitalization from vine to wine: Successes and remaining challenges - A review

Digitalization from vine to wine: Successes and remaining challenges - A review

Modelling the relationships between the barriers to implementing machine learning for accident analysis: the Indian petroleum industry

Assessing the Impact of E-Learning Adoption on Learning Behavior in Sierra Leonean Higher Education

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