A New Model for the Digital Transformation of the Strategic Procurement Function

2022 ◽  
pp. 92-116
Author(s):  
Andrea Altundag
Keyword(s):  
Business Model ◽  
Data Analytics ◽  
Digital Transformation ◽  
Aviation Industry ◽  
Maturity Model ◽  
New Model ◽  
Research Results ◽  
Internal Stakeholders ◽  
Strategic Procurement

The purpose of this chapter is to illustrate the application of advanced data analytics in the domain of strategic procurement and its effects on processes, people, and on the procurement business model itself. Advanced data analytics are generally accepted as being one of the key enablers for organisations to build their capabilities to adapt quickly and navigate through volatile business circumstances successfully. Strategic procurement is in a pivotal position in a network of external suppliers and internal stakeholders, and thus ideally positioned to benefit from the introduction of advanced data analytics. However, to date, the application of these technologies has been limited, and clear evidence of benefits delivery is yet to be demonstrated. This chapter draws upon research results from a detailed case study in the aviation industry to assess the benefits of advanced data analytics in the strategic procurement function and puts forward a maturity model of relevance to both researchers and procurement professionals.

scholarly journals Digital Transformation Design towards Logistics 4.0 in SME: A Case Study for PT XYZ

2021 ◽  
Vol 3 (2) ◽  
pp. 395-405
Author(s):  
Krisna Wardhana ◽  
Prio Utomo ◽  
Friska Natalia
Keyword(s):  
Research Method ◽  
Rapid Development ◽  
Digital Transformation ◽  
Maturity Model ◽  
Economic Sector ◽  
Business Growth ◽  
Current State ◽  
Future State ◽  
Information And Communication

The rapid development of technology and information and communication has a direct impact on the business of the Indonesian people. SMEs are one of the pillars in the economic sector in Indonesia. However, logistics has always been an obstacle to business growth in the SME sector. In Indonesia, logistics costs are still high compared to GDP, which is the background of problems that can be solved by implementing logistics 4.0. This literature will provide input for SME entrepreneurs, who will carry out digital transformation in the logistics sector of their business. The inputs that will be given include the importance of digital transformation in the logistics sector and the benefits that will be provided as a result of digital transformation. By using the digital maturity model for logistics 4.0 concept as a research method, an SME will be able to find its current state and also be able to determine strategies that will help SMEs go to their intended future state. Various analyzes will be carried out to determine the state of the SME business, so that appropriate digital transformation can be carried out regarding the SME logistics current state.

scholarly journals Tracing Digital Transformation in Educational Organizations

2021 ◽  
pp. 41-57
Author(s):  
Marc Egloffstein ◽  
Dirk Ifenthaler
Keyword(s):  
Research And Development ◽  
Development Project ◽  
Digital Transformation ◽  
Maturity Model ◽  
Educational Organizations ◽  
Joint Research ◽  
Study Approach ◽  
Design And Implementation ◽  
Research Context

AbstractThis chapter describes the quantitative approaches for assessing various aspects of digital transformation from the joint research and development project #ko.vernetzt. In an application-oriented case study approach, the operationalization of a maturity model of digital transformation for educational organizations (MMEO) and the design and implementation of a multi-perspective evaluation concept are outlined. While the MMEO provides a state perspective on the digital transformation of an educational organization and its employees, the evaluation concept aims at tracing developments of media-related professional competencies. MMEO has been implemented in a study with N = 222 participants, while N = 59 learners were subject to the evaluation polls. The results provide the necessary evidence for implementing and continuously improving a qualification program in the regarded research context. However, the methodology can also be transferred to other organizations in the education sector and beyond.

scholarly journals Analysis of Aviation Industry for Aggressive Decision Making

2021 ◽  
pp. 625-631
Author(s):  
Mohmmed Ali Asgar Niazi ◽  
Dr. Sheikh Fahad Ahmad
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Informed Consent ◽  
General Public ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Aviation Industry ◽  
Business Objectives ◽  
Public Areas

Big Data Analytics is very useful for the business users and data scientists. It is very useful to take better, faster and right decision for the organization. Organizations and individuals should exhibit the circumspection while utilizing Big Data. In this work we intend to develop a methodology for getting ethical access of big data and ethically scrutinize it to attain the business objectives. We consider the case study of aviation sector, formulate some questions to upraise the system.  We attain the ethical permission from twitter for this purpose. We consider the tweets of general public as they were posted in public areas and falls under informed consent category.

Digitalization-Based Innovation — A Case Study Framework

2020 ◽  
pp. 1-25 ◽  
Author(s):  
MICO APOSTOLOV ◽  
NUNZIA COCO
Keyword(s):  
Business Model ◽  
Value Creation ◽  
Digital Technology ◽  
Field Research ◽  
Digital Transformation ◽  
Value Chains ◽  
North East ◽  
Depth Interviews ◽  
Innovation Processes

Small- and medium-sized enterprises (SMEs) have been leading innovation processes, where the upsurge of digital technology has overpowering implications on competitive positioning, firm’s value chains and overall business model. Value creation facilitated by emerging digital technologies alters costs, as well as process performance. Due to field research and in-depth interviews with owners and managers of SMEs in North-East Italy area, we combine and analyze evidence of the contingent challenges companies face while trying to redesign their business model. Our results point out that being able to accumulate and put into action external ideas can be vital in supplementing internal knowledge base and therefore crucial in escaping technological lock-ins; thus, imposing efforts toward digital transformation offers favorable outcoes.

The Impact of Corporate Digital Responsibility (CDR) on Internal Stakeholders' Satisfaction in Hungarian Upscale Hotels

2022 ◽  
pp. 35-51
Author(s):  
Edit Kővári ◽  
Mohamad Saleh ◽  
Gyöngyi Steinbachné Hajmásy
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Digital Transformation ◽  
Technology Application ◽  
External Stakeholders ◽  
Hungarian Case ◽  
Hospitality Sector ◽  
Internal Stakeholders ◽  
The Impact

Digital transformation and artificial intelligence are considered among the most vital trending topics in the process of hospitality sector evolution. Many scholars found that digital transformation and artificial intelligence cause a massive shift in all aspects of the hospitality sector and digital technology application that impact the whole facet of internal and external stakeholders' lives. However, the adoption of digitalization and artificial intelligence is considered a strength. Corporate digital responsibility (CDR) is a strategy that enhances trust between the companies adopting digitalization and their primary stakeholders. Internal and external stakeholders' satisfaction develop contemporary social responsibility (CSR) challenges in the decision-making process in acquiring, analysing, implementing, and assessing for adopting digitalization in the hospitality sector. This chapter aims to give a literature review focusing on CDR and its relation analyses to hotel industry's internal stakeholders' satisfaction trough a Hungarian case study.

Growing Pains

2022 ◽  
pp. 252-267
Author(s):  
Marisa R. Ferreira ◽  
Carina Silva ◽  
Beatriz Casais
Keyword(s):  
Consumer Behavior ◽  
Business Model ◽  
Business Environment ◽  
Digital Transformation ◽  
Small Company ◽  
Growing Pains

Today's ever-changing business environment is very demanding for companies, particularly those of modest dimensions and operating in more traditional formats. There is an imperative change happening in market and consumer behavior – a need for digital transformation or digital complement to the traditional business model, aiming at improving the lives of individuals, groups, and society as a whole. A Portuguese small company that manufactures cookies and biscuits has identified a need to move forward and revitalize its traditional business format, preserving its traditional origins but seeking to reframe its business in a more digital context. The main goals of the case study are to understand (1) this brand's evolution, (2) its primary difficulties, and (3) strengths, and the authors also indicate possible future paths that can be replicated in other similar businesses.

scholarly journals How digital transformation can influence business model, Case study for transport industry

2019 ◽  
Vol 40 ◽  
pp. 1053-1058 ◽  
Author(s):  
Tatiana Genzorova ◽  
Tatiana Corejova ◽  
Natalia Stalmasekova
Keyword(s):  
Business Model ◽  
Digital Transformation ◽  
Model Case ◽  
Transport Industry

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

Data Analytics to Help Improve Hydraulic Fracture Geometry Prediction Using Support Vector Regression: Case Study

2020 ◽  
Author(s):  
Avinash Wesley ◽  
Bharat Mantha ◽  
Ajay Rajeev ◽  
Aimee Taylor ◽  
Mohit Dholi ◽  
...  
Keyword(s):  
Support Vector Regression ◽  
Hydraulic Fracture ◽  
Data Analytics ◽  
Support Vector ◽  
Fracture Geometry
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