Growth hacking: Insights on data-driven decision-making from three firms

Troisi, Orlando; Maione, Gennaro; Grimaldi, Mara; Loia, Francesca

doi:10.1016/j.indmarman.2019.08.005

Cited by 102 publications

(69 citation statements)

References 51 publications

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“…Mult. Comp., Commu., and Applications Computer Science • • • • • Saura and Bennett (2019) Symmetry-Basel Multidisciplinary • • • • • Saura, Herráez, and Reyes-Menendez (2019) IEEE Access Computer Sciences • • • • Spiekermann, Korunovska, and Langheinrich (2018) Proceedings of the IEEE Engineering • • Troisi, Maione, Grimaldi, and Loia (2019) Industrial Marketing Management Business, Management • • • Tsapatsoulis and Djouvas (2019) Frontiers in Robotics and AI Robotics • • • Wu and Holsapple (2013) ACM Transactions on Knowledge Discovery from Data Information Sciences • • • • Wymbs (2016) Journal of Information Systems Education Information Systems • • • ...…”

Section: Methodology Developmentmentioning

confidence: 99%

Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics

Saura

2021

Journal of Innovation & Knowledge

326

131

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In the last decade, the use of Data Sciences, which facilitate decision-making and extraction of actionable insights and knowledge from large datasets in the digital marketing environment, has remarkably increased. However, despite these advances, relevant evidence on the measures to improve the management of Data Sciences in digital marketing remains scarce. To bridge this gap in the literature, the present study aims to review (i) methods of analysis, (ii) uses, and (iii) performance metrics based on Data Sciences as used in digital marketing techniques and strategies. To this end, a comprehensive literature review of major scientific contributions made so far in this research area is undertaken. The results present a holistic overview of the main applications of Data Sciences to digital marketing and generate insights related to the creation of innovative Data Mining and knowledge discovery techniques. Important theoretical implications are discussed, and a list of topics is offered for further research in this field. The review concludes with formulating recommendations on the development of digital marketing strategies for businesses, marketers, and non-technical researchers and with an outline of directions of further research on innovative Data Mining and knowledge discovery applications.

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Section: Methodology Developmentmentioning

confidence: 99%

Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics

Saura

2021

Journal of Innovation & Knowledge

326

131

View full text Add to dashboard Cite

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“…During the three days, held numerous initiatives, conferences, and installations to concretely show how innovations change our life, work, and knowledge [35]. In the meantime, on 27 September, with the collaboration of the University of Modena, a conference was held titled "Agri-food supply chains: blockchain technology to make traceability available to everyone" [36].…”

Section: Case Studymentioning

confidence: 99%

An Uncertain Model for Analysis the Barriers to Implement Blockchain in Supply Chain Management and Logistics for Perishable Goods

Sabbagh¹

2021

IJCIS

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These days, with the development of advanced space, rising innovations, for example, the blockchain has made a decent open door for organizations to additionally improve the productivity of their supply arranges. Going with and orchestrating the supply chain with computerized advancements can prompt a huge increment in mechanical proficiency. At present, there is a crucial open door for the supply that binds the world over to amplify their profitability and productivity by utilizing and abusing blockchain innovation, man-made consciousness, and keen gear. In this research we proposed a hybrid method based on hesitant fuzzy made for ranking the barriers of implementation of blockchain on supply chain management in perishable goods. The result shows that Technological and security barriers are the most important barriers.

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“…presently, the intricacy of supply chains and the issues that exist in the administration of this chain prompts an exercise in futility and cash. Utilizing new innovations, for example, blockchain will improve quality and diminish costs (Troisi et al, 2020).…”

Section: Blockchain Overviewmentioning

confidence: 99%

Optimizing Blockchains Structures Based on Entropy and TOPSIS Model

Sabbagh¹

2021

JSSM

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In this study, a new and applicable model is proposed which represents the opportunities of implementing blockchains into IoT framework in the sensor data acquisition. We aim to propose a simple perspective of blockchain in IoT which is flexible with high throughput in sensor networks. This method is based on probabilities that use the combination of the Entropy and TOPSIS model and the blockchain parameter configuration used in the proposed model in this study includes: Parameters, Block, Epoch Time, Consensus Protocol, Throughput Queuing, Network Topology and Containerization. We selected Hyperledger Fabric as our blockchain solution to deploy across our network with the use of Docker Swarm. Our framework leverages the containerization of Fabric so that the network can operate between the edge devices and the cloud in a single, private system. This model contains some areas in security, such as privacy policy and delay versus the value of the task to be processed.

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Growth hacking: Insights on data-driven decision-making from three firms

Cited by 102 publications

References 51 publications

Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics

Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics

An Uncertain Model for Analysis the Barriers to Implement Blockchain in Supply Chain Management and Logistics for Perishable Goods

Optimizing Blockchains Structures Based on Entropy and TOPSIS Model

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