Identifying success factors of digital transformation

2022 ◽  
pp. 16-37
Author(s):  
Bakar Ani Safwanah ◽  
Dayang Fatzainalutfiah Awang Ahmad ◽  
Norhafizzah Abdullah Sali ◽  
Mohammad Nabil Almunawar
Keyword(s):  
Success Factors ◽  
Digital Transformation

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.

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.

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

2022 ◽  
pp. 1990-2021
Author(s):  
Robert-Christian Ziebell ◽  
Jose Albors-Garrigos ◽  
Klaus-Peter Schoeneberg ◽  
Maria Rosario Perello Marin
Keyword(s):  
Cloud Computing ◽  
Qualitative Study ◽  
Success Factors ◽  
New Technology ◽  
Digital Transformation ◽  
Special Focus ◽  
Extensive Experience ◽  
Cloud Computing Environment ◽  
Software Adoption ◽  
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.

scholarly journals Transformation of Value in Innovative Business Models: The Case of Pharmaceutical Market

2021 ◽  
Vol 15 (3) ◽  
pp. 52-65
Author(s):  
Denis Klimanov ◽  
◽  
Olga Tretyak ◽  
Uri Goren ◽  
Timothy White ◽  
...  
Keyword(s):  
Value Creation ◽  
Value Chain ◽  
Success Factors ◽  
Business Models ◽  
Digital Transformation ◽  
Pharmaceutical Market ◽  
Technological Innovations ◽  
Key Success Factors ◽  
The World ◽  
A Company

Creating and developing innovative business models (BM) is currently one of the key success factors for contemporary business. Rapid complex changes in the world reemphasize the need to better understand how BM can be successfully innovated in different markets. The digital component of BM innovation comes under a special spotlight, using the example of a company within the pharmaceutical industry. In particular, this study demonstrates how BM innovation can be developed and implemented in practice within the pharmaceutical market, which accelerates its digital transformation to increase the value it brings to the healthcare systems around the world while sustaining the ongoing crisis. In order to do that, the current paper offers a framework for BM innovation that defines BM elements, BM innovation aspects, and BM innovation logic. The study covers six markets that represent different value creation systems and mechanisms. This paper demonstrates how technological innovations can be activated using managerial tools and insights and also how they can be combined into the holistic system based on the needs of the key value chain actors.

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