A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective

A data-driven approach in production logistics is adopted as a response to challenges such as low visibility and system rigidity. One important step for such a transition is to identify the enabling technologies from a value-creating perspective. The existing corpus of literature has discussed the benefits and applications of smart technologies in overall manufacturing or logistics. However, there is limited discussion specifically on a production logistics level, from a systematic perspective. This paper addresses two issues in this respect by conducting a systematic literature review and analyzing 142 articles. First, it covers the gap in literature concerning mapping the application of these smart technologies to specific production logistic activities. Ten groups of technologies were identified and production logistics activities divided into three major categories. A quantitative share assessment of the technologies in production logistics activities was carried out. Second, the ultimate goal of implementing these technologies is to create business value. This is addressed in this research by presenting the “production logistics data lifecycle” and the importance of having a balanced holistic perspective in technology development. The result of this paper is beneficial to build a ground to transit towards a data-driven state by knowing the applications and use cases described in the literature for the identified technologies.

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Cognitive Automation, Big Data-driven Manufacturing, and Sustainable Industrial Value Creation in Internet of Things-based Real-Time Production Logistics

Economics Management and Financial Markets ◽

10.22381/emfm15420204 ◽

2020 ◽

Vol 15 (4) ◽

pp. 39

Keyword(s):

Big Data ◽

Internet Of Things ◽

Real Time ◽

Value Creation ◽

Data Driven ◽

Production Logistics ◽

Time Production ◽

Cognitive Automation

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A Data Driven Approach for the Measurement of 10Be/9Be in Cosmic Rays with Magnetic Spectrometers

10.20944/preprints202011.0575.v1 ◽

2020 ◽

Author(s):

Francesco Nozzoli ◽

Cinzia Cernetti

Keyword(s):

Cosmic Rays ◽

Galactic Halo ◽

Flux Ratio ◽

Data Driven ◽

A Value ◽

The Galaxy ◽

Data Driven Approach ◽

Flux Measurements ◽

A New Technique ◽

Two Parameters

Cosmic Rays (CR) are a powerful tool for the investigation of the structure of the magnetic fields in the galactic halo and the property of the Inter-Stellar Medium. Two parameters of the CR propagation models: the galactic halo thickness, H, and the diffusion coefficient, D, are loosely constrained by current CR flux measurements, in particular a large degeneracy exist being only H/D well measured. The 10Be/9Be isotopic flux ratio (thanks to the 2 My lifetime of 10Be) can be used as a radioactive clock providing the measurement of CR residence time in the galaxy. This is an important tool to solve the H/D degeneracy. Past measurements of 10Be/9Be isotopic flux ratio in CR are scarce, limited to low energy and affected by large uncertainties. Here a new technique to measure 10Be/9Be isotopic flux ratio, with a Data-Driven approach, in magnetic spectrometers is presented. As an example by applying the method to Beryllium events published by PAMELA experiment it is now possible to determine the important 10Be/9Be measurement avoiding the prohibitive uncertainties coming from the Monte Carlo simulation. It is shown how the accuracy of PAMELA data permits to infer a value of the halo thickness H within 25% precision.

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Regulation of Data-driven Market Power in the Digital Economy: Business Value Creation and Competitive Advantages from Big Data

SSRN Electronic Journal ◽

10.2139/ssrn.3759664 ◽

2021 ◽

Author(s):

Victoria Fast ◽

Daniel Schnurr ◽

Michael Wohlfarth

Keyword(s):

Big Data ◽

Market Power ◽

Value Creation ◽

Digital Economy ◽

Business Value ◽

Data Driven ◽

Competitive Advantages

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Data-Based Value Co-Creation in Smart Service Systems: A Reinterpretation of Customer Journey

International Journal of Business and Management ◽

10.5539/ijbm.v15n6p212 ◽

2020 ◽

Vol 15 (6) ◽

pp. 212

Author(s):

Mara Grimaldi ◽

Maria Vincenza Ciasullo ◽

Orlando Troisi ◽

Paola Castellani

Keyword(s):

New Technologies ◽

Relevant Information ◽

Service Systems ◽

Data Driven ◽

Enabling Factors ◽

Service Creation ◽

Data Driven Approach ◽

Smart Service ◽

Smart Technologies

Industry 4.0 is characterized by the key role of new technologies in the development of relationships between companies and their stakeholders. Thus, the most recent theories on service redefine organizations as complex service systems that create and co-create value thanks to the interactions between actors, enhanced by smart technologies and ICTs. In particular, the concept of service systems- introduced in Service Science- seems to be suitable for the exploration of how service design, and the processes of innovation sharing and emergence, can be strengthened thanks to the application of smart technologies. Despite the adoption of a system logic, service systems, and their conceptualization, need to be reinterpreted according to a perspective that applies a total and all-encompassing view to the processes of value generation and to the interpretation of the information and data exchanged (data-driven decision-making). Therefore, the study proposes a conceptual model that integrates the key enabling factors of value co-creation in service systems with the main strategic drivers introduced in data-driven approach to redefine the entire service experience as a service journey. In this continuous information flow, providers, customers and users share and combine data streams, to be turned into relevant information and value, through an integrated and interacting set of touch points that connect the different stages of service creation, delivery and co-creation.

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Value Proposition Through Knowledge Sharing and Crowdsourcing

Journal of Media Management and Entrepreneurship ◽

10.4018/jmme.2020010108 ◽

2020 ◽

Vol 2 (1) ◽

pp. 124-138

Author(s):

Dimitrios Siakas ◽

Kerstin Viola Siakas

Keyword(s):

Value Creation ◽

Online Social Networks ◽

Open Innovation ◽

Customer Value ◽

Innovation Process ◽

Business Value ◽

User Engagement ◽

Value Proposition ◽

Common Goal ◽

A Value

A value proposition is important to businesses and their success, because it analyses the needs of customers or users and what they are willing to pay for. This study aims to make explicit the process of integrating/involving the customer/user in the innovation process and of conceptualizing customer value creation, by identifying different perspectives of value and customer/user engagement. Potential ways for gaining added business value through a suitable value proposition based on crowdsourcing are examined. Open innovation is investigated as a tool for integrating customers/users in the innovation process, in particularly in the ideation stage of innovation. Crowdsourcing is a paradigm that assumes that companies can and should use external ideas in addition to internal ideas for creating value and assume that internal ideas can be taken to market by external channels, outside the current business of the company. Online social networks are particularly suitable channels for engaging customers and users for a common goal regarding innovation, problem solving, and efficiency.

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