scholarly journals Grocery Retailing in the I4.0 Era

2018 ◽  
Author(s):  
Sergio Barile ◽  
Francesco Polese
Keyword(s):  
Technology Adoption ◽  
Industry 4.0 ◽  
Digital Transformation ◽  
Grocery Retailing ◽  
Market Driven ◽  
Space Competition

Grocery Retailing is facing many challenges and digital transformation is required for a market-driven space competition. The paper analyses the major trends of technology adoption in grocery retailing and integrates them in the wider framework of Industry 4.0. New networks and network economies derive, and new issues for management emerge.

scholarly journals Sensing Technologies, Roles and Technology Adoption Strategies for Digital Transformation of Grape Harvesting in SME Wineries

2021 ◽  
Vol 7 (2) ◽  
pp. 123
Author(s):  
Marc Dressler ◽  
Ivan Paunovic
Keyword(s):  
Technology Adoption ◽  
Industry 4.0 ◽  
New Technology ◽  
Digital Transformation ◽  
Wine Industry ◽  
Research Approach ◽  
Pull Factors ◽  
Push Factors ◽  
Digital Workplace ◽  
Strategic Paths

The article improves understanding on leveraging new technology for DT (digital transformation) of grape harvest in SME wineries. It provides evidence on technologies used and workplace types deployed in grape harvesting, as well as strategic paths in deploying new technology, thereby contributing to the literature on networked sensing and seizing capabilities in the wine industry 4.0. The research approach is explorative and qualitative drawing on 31 interviews with wine industry 4.0 experts and managers, mostly owners of SMEs: wineries, wine software and wine machinery enterprises. Resulting findings serve as a roadmap for digital transformation of grape harvest process in SME wineries explaining technologies and work roles necessary for DWT (digital workplace transformation), as well as strategic paths of deployment of novel grape harvest technology. Previous research on the wine industry 4.0 has focused on BMI, while this research expands the focus to include a wider concept of technology adoption strategy as well as DWT. The research identifies two types of factors impacting the strategic deployment of grape harvest technology: pull factors, also termed servitization factors, as well as push factors, termed also digital transformation factors.

scholarly journals The Impact of Force Factors on the Benefits of Digital Transformation in Romania

2021 ◽  
Vol 11 (5) ◽  
pp. 2365
Author(s):  
Sorinel Căpușneanu ◽  
Dorel Mateș ◽  
Mirela Cătălina Tűrkeș ◽  
Cristian-Marian Barbu ◽  
Adela-Ioana Staraș ◽  
...  
Keyword(s):  
Perceived Risk ◽  
Industry 4.0 ◽  
Business Models ◽  
Structural Model ◽  
Digital Transformation ◽  
Sample Survey ◽  
Intention To Use ◽  
Online Questionnaire ◽  
Use Of Technology ◽  
The Impact

The digital transformation has produced changes in all existing areas of activity worldwide. There are many factors that can influence the intention to use Industry 4.0 processes and solutions and change the behavior of organizations and their business models. The aim of this study is to validate the econometric model on assessing the significant impact of distinct factors on the intention to use Industry 4.0 processes and solutions, the benefits of digital transformation perceived by organizational management and the differences between distinct groups analyzed. The research method used within the quantitative study was the sample survey, using the online questionnaire as a data collection tool. Three hundred forty-seven valid questionnaires were collected and the response rate of the respondents was 64.25%. A new structural model was generated based on the elements of the Unified Theory of Acceptance and Use of Technology (UTAUT). The results of the study indicated that Perceived competitiveness and Perceived risk have a significant impact on Intention to Use Industry 4.0 processes while Perceived vertical networking solutions and Perceived integrated engineering solutions have a significant influence on the Intention to Use Industry 4.0 solutions. In conclusion, there is a positive and significant association between Intention to Use Industry 4.0 solutions and Benefits of Digital Transformation.

scholarly journals Embracing Industry 4.0: Empirical Insights from Malaysia

Informatics ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 30
Author(s):  
Mansoor Ahmed Soomro ◽  
Mohd Hizam-Hanafiah ◽  
Nor Liza Abdullah ◽  
Mohd Helmi Ali ◽  
Muhammad Shahar Jusoh
Keyword(s):  
Industry 4.0 ◽  
New Technologies ◽  
Descriptive Study ◽  
Digital Transformation ◽  
Quantitative Approach ◽  
Survey Questionnaire ◽  
Digital Revolution ◽  
Leadership Strategy ◽  
The Right ◽  
The Cost

Industry 4.0 revolution, with its cutting-edge technologies, is an enabler for businesses, particularly in reducing the cost and improving the productivity. However, a large number of organizations are still too in their infancy to leverage the true potential of Industry 4.0 and its technologies. This paper takes a quantitative approach to reveal key insights from the companies that have implemented Industry 4.0 technologies. For this purpose, 238 technology companies in Malaysia were studied through a survey questionnaire. As technology companies are usually the first in line to adopt new technologies, they can be studied better as leaders in adopting the latest technologies. The findings of this descriptive study surfaced an array of insights in terms of Industry 4.0 readiness, Industry 4.0 technologies, leadership, strategy, and innovation. This research paper contributes by providing 10 key empirical insights on Industry 4.0 that can be utilized by managers to pace up their efforts towards digital transformation, and can help the policymakers in drafting the right policy to drive the digital revolution.

Technology Adoption and Digital Transformation

2017 ◽  
pp. 1-21
Author(s):  
Stephen J. Andriole ◽  
Thomas Cox ◽  
Kaung M. Khin
Keyword(s):  
Technology Adoption ◽  
Digital Transformation

scholarly journals Digital industry and manufacturing automation: impact on employment

2020 ◽  
Vol 1 (2) ◽  
pp. 17-19
Author(s):  
Danil Alekseevich Zyukin
Keyword(s):  
Automotive Industry ◽  
Industry 4.0 ◽  
Structural Complexity ◽  
Digital Transformation ◽  
Fourth Generation ◽  
Production Sector ◽  
Manufacturing Automation ◽  
Manufacturing Enterprises ◽  
Systemic Level

The aim of article. The digital industry (Industry 4.0, the fourth-generation industry) is developing - based on the digital transformation of the production sector. Countries must create a workforce ready for future infrastructure. This requires the cooperation of universities, government and industry, including initiatives aimed at training workers for the transforming productive sector. The pandemic has COVID-19 exacerbated the problem of employment. Methodology: it is necessary to study the problem of employment at the systemic level, with an analysis of the structural complexity and development of digital transformations. This article explores this problem for manufacturing enterprises, in particular the automotive industry. The Results and Conclusions present the results of the analysis and make forecasts.

scholarly journals Designing industry 4.0 implementation from the initial background and context of companies

2021 ◽  
Vol 3 ◽  
pp. 27
Author(s):  
Valérie Rocchi ◽  
Daniel Brissaud
Keyword(s):  
Digital Technology ◽  
Industry 4.0 ◽  
Success Factors ◽  
Theoretical Models ◽  
Digital Transformation ◽  
Transformation Model ◽  
Structured Interviews ◽  
Long Time ◽  
Key Variables ◽  
The Right

Industry 4.0 is a promising concept that allows industries to meet customers’ demands with flexible and resilient processes, and highly personalised products. This concept is made up of different dimensions. For a long time, innovative digital technology has been thought of as the only dimension to succeed in digital transformation projects. Other dimensions have been identified such as organisation, strategy, and human resources as key while rolling out digital technology in factories. From these findings, researchers have designed industry 4.0 theoretical models and then built readiness models that allow for analysing the gap between the company initial situation and the theoretical model. Nevertheless, this purely deductive approach does not take into consideration a company’s background and context, and eventually favours one single digital transformation model. This article aims at analysing four actual digital transformation projects and demonstrating that the digital transformation’s success or failure depends on the combination of two variables related to a company’s background and context. This research is based on a double approach: deductive and inductive. First, a literature review has been carried out to define industry 4.0 concept and its main dimensions and digital transformation success factors, as well as barriers, have been investigated. Second, a qualitative survey has been designed to study in-depth four actual industry digital transformation projects, their genesis as well as their execution, to analyse the key variables in succeeding or failing. 46 semi-structured interviews were carried out with projects’ members; interviews have been analysed with thematic content analysis. Then, each digital transformation project has been modelled regarding the key variables and analysed with regards to succeeding or failing. Investigated projects have consolidated the models of digital transformation. Finally, nine digital transformation models have been identified. Industry practitioners could design their digital transformation project organisation and strategy according to the right model.

scholarly journals Digital Technologies within and beyond the Workplace: Impacts, Ambiguities, and Transformative Trends

2021 ◽  
Vol 6 (2) ◽  
pp. 81-86
Author(s):  
Guglielmo Faldetta ◽  
Maria Laura Frigotto ◽  
Alessandra Lazazzara ◽  
Michela Marchiori ◽  
Mario Pezzillo Iacono ◽  
...  
Keyword(s):  
Technology Adoption ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Research Development ◽  
Power Structures ◽  
Hrm Practices ◽  
Meaning Systems

Digital transformation (DT) is increasingly establishing itself as a constant theme in contemporary academic and practitioner conversations (Hanelt et al., 2020). Organisation scholars are attentive to the role and impact of digitalisation (Hinings, Gegenhuber and Greenwood, 2018), investigating how digital technologies affect individuals (Zuboff, 2015; 2019), organisations and professions (Foer, 2017), entire industries (Taplin, 2017), and societies (Morozov, 2011). There is no doubt that digitally-enabled arrangements permeate and reshape industries and fields, challenging organisational models, HRM practices, power structures and meaning systems (Alvesson and Kärreman, 2011). Moreover, the COVID-19 pandemic has accelerated the digitalisation of economy and organisations, anticipated many issues and transformations that would have taken longer to be addressed and posed unique demands in terms of conditions and scale of technology adoption at work (Wang et al., 2021). Thus, promoting theory and research development on this important substantive and methodological topic is therefore of foremost importance.

scholarly journals IR4.0: unmanned store apps

2020 ◽  
Vol 17 (3) ◽  
pp. 1540
Author(s):  
Saidatul Rahah Hamidi ◽  
Muhammad Afiq Muhamad Yusof ◽  
Shuhaida Mohamed Shuhidan ◽  
Shamsiah Abd Kadir
Keyword(s):  
Internet Of Things ◽  
Comparative Study ◽  
Industry 4.0 ◽  
Technology Innovation ◽  
Digital Transformation ◽  
Strategic Marketing ◽  
Retail Industry ◽  
The Internet ◽  
The Comparative Study ◽  
The Internet Of Things

<span>The Internet of Things (IoT) is predicted to be one of the major megatrends in technology that applies worldwide including in Malaysia. Current advantages and expectations of using a connected device has become a reason to use applications in many areas, including the field of retail industry. The evolvement of technology has changed the retail landscape that replaces the manpower in their operations to improve the efficiency, quality and work ethics. Hence, this paper discussed comparative study of technology innovation applied and process flow in unmanned store from different country. Next, prototype of unmanned store apps was designed according to the most preferred technology based on the comparative study. IoT retailer model can be used to improve the retail experience for the customers. Thus, it may perform strategic marketing and gain retail intelligence. Besides, the revolution of using technology in this retail industry is contributing towards Industry 4.0 through digital transformation.</span>

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