scholarly journals Realizing Value with Data and Analytics: A Structured Literature Review on Classification Approaches of Data-Driven Innovations

2021 ◽  
Author(s):  
Liza Kayser ◽  
Michael Fruhwirth ◽  
Roland M. Mueller
Keyword(s):  
Literature Review ◽  
Data Driven ◽  
Structured Literature Review

scholarly journals A Review on “Management by Exception” Surveillance for Well Management: To maximize Oil Production

2018 ◽  
Vol 7 (3.25) ◽  
pp. 90
Author(s):  
Azlinda Abdul Malik ◽  
Mohd Hilmi Hasan ◽  
Mazuin Jasamai
Keyword(s):  
Literature Review ◽  
Business Processes ◽  
Oil And Gas ◽  
Production Performance ◽  
Data Driven ◽  
Well Production ◽  
Monitoring Well ◽  
Oil And Gas Operations ◽  
Manual Interaction ◽  
Structured Literature Review

The business processes and decisions of oil and gas operations generate large amounts of data, which causes surveillance engineers to spend more time gathering, and analyzing them. To do this manually is inefficient. Hence, this study is proposed to leverage on data driven surveillance by adopting the principle of management by exception (MBE). The study aims to minimize the manual interaction between data and engineers; hence will focus on monitoring well production performance through pre-determined parameters with set of rules. The outcome of this study is a model that can identify any deviations from the pre-set rules and the model will alert user for deviations that occur. The model will also be able to predict on when the well be offline if the problem keeps on persisting without immediate action from user. The objective of this paper is to present a literature review on the prediction and management by exception for the above mentioned well management. The results presented in this paper will help in the development of the proposed prediction and management model. The literature review was conducted based on structured literature review methodology, and a comparative study among the collected works is analyzed and presented in this paper.  

scholarly journals Who Else do You Need for a Data-Driven Business Model? Exploring Roles and Exchanged Values

2021 ◽  
Author(s):  
Florian Leski ◽  
◽  
Michael Fruhwirth ◽  
Viktoria Pammer-Schindler ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Business Model ◽  
Business Models ◽  
Data Driven ◽  
Automotive Company ◽  
New Business ◽  
New Business Models ◽  
Structured Literature Review ◽  
Analyze Data

The increasing volume of available data and the advances in analytics and artificial intelligence hold the potential for new business models also in offline-established organizations. To successfully implement a data-driven business model, it is crucial to understand the environment and the roles that need to be fulfilled by actors in the business model. This partner perspective is overlooked by current research on datadriven business models. In this paper, we present a structured literature review in which we identified 33 relevant publications. Based on this literature, we developed a framework consisting of eight roles and two attributes that can be assigned to actors as well as three classes of exchanged values between actors. Finally, we evaluated our framework through three cases from one automotive company collected via interviews in which we applied the framework to analyze data-driven business models for which our interviewees are responsible.

scholarly journals Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review

2021 ◽  
Vol 13 (10) ◽  
pp. 5495
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Roxana Ștefănescu ◽  
Cristian Uță ◽  
Irina Dijmărescu
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Production Networks ◽  
Production Logistics ◽  
Time Production

With growing evidence of the operational performance of cyber-physical manufacturing systems, there is a pivotal need for comprehending sustainable, smart, and sensing technologies underpinning data-driven decision-making processes. In this research, previous findings were cumulated showing that cyber-physical production networks operate automatically and smoothly with artificial intelligence-based decision-making algorithms in a sustainable manner and contribute to the literature by indicating that sustainable Internet of Things-based manufacturing systems function in an automated, robust, and flexible manner. Throughout October 2020 and April 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “Internet of Things-based real-time production logistics”, “sustainable smart manufacturing”, “cyber-physical production system”, “industrial big data”, “sustainable organizational performance”, “cyber-physical smart manufacturing system”, and “sustainable Internet of Things-based manufacturing system”. As research published between 2018 and 2021 was inspected, and only 426 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 174 mainly empirical sources. Further developments should entail how cyber-physical production networks and Internet of Things-based real-time production logistics, by use of cognitive decision-making algorithms, enable the advancement of data-driven sustainable smart manufacturing.

Coconut oil intake and its effects on the cardiometabolic profile – A structured literature review

2019 ◽  
Vol 62 (5) ◽  
pp. 436-443 ◽  
Author(s):  
Heitor O. Santos ◽  
Scott Howell ◽  
Conrad P. Earnest ◽  
Filipe J. Teixeira
Keyword(s):  
Literature Review ◽  
Coconut Oil ◽  
Cardiometabolic Profile ◽  
Structured Literature Review

Typology of Digital Business Models in Tourism

2021 ◽  
Vol 13 (2) ◽  
pp. 21-42
Author(s):  
Helena Zentner ◽  
Mario Spremić
Keyword(s):  
Content Analysis ◽  
Literature Review ◽  
Business Models ◽  
Digital Business Models ◽  
Growing Body ◽  
Comprehensive Comparison ◽  
Research Gap ◽  
Hospitality Sector ◽  
Tourism And Hospitality ◽  
Structured Literature Review

Digital business models are reshaping industries nowadays. This trend certainly includes the tourism and hospitality sector, where several digital business models have already gained extraordinary momentum and transformed the way business is done. There is a growing body of scholarly literature concerning individual digital business models in tourism, yet papers with comprehensive comparison of digital business models in tourism are scarce. The aim of the paper is to fill this research gap and provide a thorough overview and comparison of the most important types of digital business models in tourism. Methods used to achieve this include case studies and structured literature review supplemented with content analysis. The most important characteristics of each business model have been identified and analyzed using relevant frameworks. Further, a tourism digital business models typology has been proposed that classifies the currently prevailing digital business models in this sector into seven distinct types.

Big data-driven strategic orientation in international marketing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahriar Akter ◽  
Md Afnan Hossain ◽  
Qiang (Steven) Lu ◽  
S.M. Riad Shams
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
International Marketing ◽  
Strategic Orientation ◽  
Data Driven ◽  
Future Research ◽  
Content Type ◽  
Strategic Orientations ◽  
Marketing Activities

PurposeBig data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.Design/methodology/approachThe study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.FindingsThe findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.Research limitations/implicationsThe study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.Originality/valueThe study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.

Conceptualising innovative price models: the RITE framework

2019 ◽  
Vol 14 (4) ◽  
pp. 540-558 ◽  
Author(s):  
Mathias Cöster ◽  
Einar Iveroth ◽  
Nils-Göran Olve ◽  
Carl-Johan Petri ◽  
Alf Westelius
Keyword(s):  
Literature Review ◽  
Design Methodology ◽  
Business Models ◽  
Final Outcome ◽  
Empirical Testing ◽  
Content Type ◽  
Meta Model ◽  
Practical Implications ◽  
A Current ◽  
Structured Literature Review

Purpose The purpose of this paper is to lay a current, research-based foundation for investigation of the concept of innovative price models and its connection to business models. Design/methodology/approach The design is composed of a structured literature review of articles on price models published in 22 journals during 42 years. This then serves as a base for a subsequent conceptual discussion about the foundation of innovative price models. Findings The literature review yields only very few results that are loosely scattered across various areas and mostly without any kind of deeper exploration of the concept of price models. The paper therefore goes on to conceptually explore some fundamental conditions that might influence or even determine price models. The final outcome of this exploration is the relation, intention, technology and environment (RITE) framework that is a meta-model for conceptualising innovative price models. Research limitations/implications The literature review could include additional journals and areas, and empirical testing of the RITE framework as yet has been limited. Practical implications The RITE framework can be used by practitioners as a tool for investigating the potential and usefulness of developing the capability to handle innovative price models. Originality/value The RITE framework provides fundamental conditions, which influence, or even determine, how innovative price models are developed and applied.

scholarly journals LitRev: A data driven method for quick literature review from PubMed

2021 ◽  
Author(s):  
Gourab Das
Keyword(s):  
Literature Review ◽  
Mutual Information ◽  
Power Law ◽  
Data Driven ◽  
Power Law Distribution ◽  
Information Score ◽  
Data Driven Approach

LitRev is a novel robust data driven approach, devel-oped for quick literature review on a particular topic of interest. This method identifies common biological phrases that follow a power law distribution and important phrases which have the normalized point wise mutual information score greater than zero.

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