scholarly journals Success factors for fostering a digital transformation in manufacturing companies

2018 ◽  
Vol 8 (1-2) ◽  
pp. 121-142 ◽  
Author(s):  
Kristin Vogelsang ◽  
Kirsten Liere-Netheler ◽  
Sven Packmohr ◽  
Uwe Hoppe
Keyword(s):  
Success Factors ◽  
Digital Transformation ◽  
Manufacturing Companies

scholarly journals The Role of Digital Maturity Assessment in Technology Interventions with Industrial Internet Playground

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1134
Author(s):  
Annabeth Aagaard ◽  
Mirko Presser ◽  
Tom Collins ◽  
Michail Beliatis ◽  
Anita Krogsøe Skou ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Digital Transformation ◽  
Assessment Tools ◽  
Manufacturing Companies ◽  
Digital Interventions ◽  
Maturity Assessment ◽  
Industrial Internet ◽  
Digital Development ◽  
Key Dimensions ◽  
The Impact

The use of digital technologies such as Internet of Things and advanced data analytics are central in digitally transforming manufacturing companies towards Industry 4.0. Success cases are frequently reported, and there is clear evidence of technology interventions conducted by industry. However, measuring the impact and effect of such interventions on digital maturity and on the organizational adoption can be challenging. Therefore, the research aim of this paper is to explore how the combination of the different methods of Industrial Internet Playground (IIP) pilots, Shadow Infrastructure (SI) and digital maturity assessment can assist in conducting and documenting the technical, as well as organisational, impact of digital interventions. Through an elaborate literature review of existing digital maturity assessment tools and key dimensions in digital transformation, we have developed a digital maturity assessment tool (DMAT), which is presented and applied in the paper to identify digital development areas and to evaluate and document the effects of digital interventions. Thus, the paper contributes with new knowledge of how the IIP pilot and SI combined with digital maturity assessment can support effective, transparent and documented digital transformation throughout an organisation, as explored through theory and a practice case.

Adoption and Success of e-HRM in a Cloud Computing Environment

2019 ◽  
Vol 9 (2) ◽  
pp. 1-27 ◽  
Author(s):  
Robert-Christian Ziebell ◽  
Jose Albors-Garrigos ◽  
Klaus-Peter Schoeneberg ◽  
Maria Rosario Perello Marin
Keyword(s):  
Success Factors ◽  
New Technology ◽  
Digital Transformation ◽  
Special Focus ◽  
Computing Environment ◽  
Extensive Experience ◽  
Cloud Computing Environment ◽  
Software Adoption ◽  
Operational Level ◽  
Depth Analysis

This qualitative study examines the digitisation of HRM in a cloud-based environment. The influencing factors for the transformation from conventional HRM to eHRM are examined with a special focus on the success factors from a strategic to the operational level. Additionally, an in-depth analysis of the currently existing and new HR metrics which emerge during the transformation takes place. The study is based on interviews with HR experts with extensive experience in transforming and working with the new technology. Active participation of the HR department is relevant for the success of the digital transformation HRM project. HR metrics have not been applied extensively so far and are used less for controlling and optimizing HR processes. New metrics would increase the acceptance of the new technology and thus the success of the overall HR transformation. The main contribution is related to the field of HR software adoption of cloud-based solutions.

MANAGING DIGITAL TRANSFORMATION IN DIGITAL BUSINESS ECOSYSTEMS

2021 ◽  
Author(s):  
TIINA TAWASTSTJERNA ◽  
HEIDI OLANDER
Keyword(s):  
Success Factors ◽  
Collaborative Governance ◽  
Digital Transformation ◽  
Key Success Factors ◽  
Multiple Partners ◽  
Business Ecosystems

Previous research has increased our understanding of digital transformation (DT) and digital business ecosystems as independent topics. Less is known about how DT unfolds in digital business ecosystems. Such collaborative creation of digital innovations is affected by individual actors and by ecosystem as a whole. Based on an empirical case study of an ecosystem facilitator company and its digital business ecosystems as embedded cases, this paper contributes to the understanding of key success factors in new digital business ecosystems. The findings support collaborative governance as an important tool in leading the DT among multiple partners. Moreover, the findings present the concept of a common rulebook, including the practices, principles, guidelines, tools, handshakes, and boundaries, as an enabler for ways of working in an ecosystem. Managers can use this paper to increase their understanding on the governance of digital business ecosystems and to clarify their organisational expectations when participating in joint endeavours involving DT.

Digital platform of production systems

2021 ◽  
pp. 104-115
Author(s):  
O.I. Bochkarev ◽  
P.N. Bilenko ◽  
V.G. Beltsov ◽  
E.A. Asanova
Keyword(s):  
Production Systems ◽  
Digital Transformation ◽  
High Tech ◽  
Manufacturing Companies ◽  
Technological Breakthrough ◽  
Digital Platform ◽  
Digital Services ◽  
World Markets ◽  
Competitive Products

The Russian manufacturing companies are faced with the task of a technological breakthrough and bringing high-tech competitive products to world markets. The results of the study demonstrated the urgent need for enterprises to develop production systems using digital services combined into platforms. The article proposes an approach to the construction and development of production systems based on the use of both world experience and knowledge, and new digital services and systems of tools, developed at domestic enterprises. The sequence of targeted steps to implement digital transformation is highlighted.

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 A Systematic Literature Review of Total Productive Maintenance On Industries

2021 ◽  
Vol 20 (2) ◽  
pp. 97
Author(s):  
Setiawan San
Keyword(s):  
Literature Review ◽  
Success Rate ◽  
Systematic Literature Review ◽  
Success Factors ◽  
Engine Speed ◽  
Manufacturing Companies ◽  
Total Productive Maintenance ◽  
Variable Approach ◽  
The World ◽  
World Class

Attempts to achieve optimization of machine and equipment maintenance at manufacturing companies over the years have encountered a multitude of problems. Due to equipment losses such as setup and adjustment, minor stops and delays, defective products due to equipment, reduced engine speed, and reduced output has influenced their desire to reach world class manufacturing levels. This paper discusses a large part of the TPM approach in manufacturing companies and provides an overview of the various TPM implementation practices demonstrated by manufacturing companies in the world.. Based on review results of the 50 journals about TPM in industries It was found that most of the TPM implementations used the OEE parameter to see the success rate of implementing this TPM. This paper also highlights the variable approach that is most widely used by various practitioners and researchers and evaluates in detail the success factors of implementing TPM and the reasons behind the failure of implementing TPM are also discussed so as to ensure the implementation of TPM can run smoothly and effectively in manufacturing companies

Sign in / Sign up

Export Citation Format

Share Document