The dual effects of the Internet of Things (IoT): A systematic review of the benefits and risks of IoT adoption by organizations

Brous, Paul; Janssen, Marijn; Herder, Paulien M.

doi:10.1016/j.ijinfomgt.2019.05.008

Cited by 242 publications

(119 citation statements)

References 69 publications

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“…Internet of Things (IoT): IoT refers to management and collection of daily use data from connected devices. This also includes order and identification of new features that help personalize and offer new products and services and to create new needs ( Brous, Janssen, & Herder, 2020 ). DM adapts to the mobile environment with mobile-friendly design initiatives and strategies that fosu on connected devices.…”

Section: Analysis Of Resultsmentioning

confidence: 99%

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

Saura

2021

Journal of Innovation & Knowledge

328

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: Analysis Of Resultsmentioning

confidence: 99%

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

Saura

2021

Journal of Innovation & Knowledge

328

131

View full text Add to dashboard Cite

show abstract

“…The IoT refers to objects with sensing or processing capabilities, each assigned a unique IP address that communicates data over the Internet without the need for human interaction. In a broader sense, the IoT includes artificial-intelligence, cloud-computing, next-gen-cybersecurity, big-data, twin-simulation, augmented-and virtual-reality, blockchain, and advanced-analytics technologies [63][64][65][66][67][68][69]…”

Section: Internet Of Things (Connectedness)mentioning

confidence: 99%

Real-Time Decision-Support System for High-Mix Low-Volume Production Scheduling in Industry 4.0

et al. 2020

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Numerous organizations are striving to maximize the profit of their businesses by the effective implementation of competitive advantages including cost reduction, quick delivery, and unique high-quality products. Effective production-scheduling techniques are methods that many firms use to attain these competitive advantages. Implementing scheduling techniques in high-mix low-volume (HMLV) manufacturing industries, especially in Industry 4.0 environments, remains a challenge, as the properties of both parts and processes are dynamically changing. As a reaction to these challenges in HMLV Industry 4.0 manufacturing, a newly advanced and effective real-time production-scheduling decision-support system model was developed. The developed model was implemented with the use of robotic process automation (RPA), and it comprises a hybrid of different advanced scheduling techniques obtained as the result of analytical-hierarchy-process (AHP) analysis. The aim of this research was to develop a method to minimize the total production process time (total make span) by considering the results of risk analysis of HMLV manufacturing in Industry 4.0 environments. The new method is the combination of multi-broker (MB) optimization and a genetics algorithm (GA) that uses general key process indicators (KPIs) that are easy to measure in any kind of production. The new MB–GA method is compatible with industry 4.0 environments, so it is easy to implement. Furthermore, MB–GA deals with potential risk during production, so it can provide more accurate results. On the basis of survey results, 16% of the asked companies could easily use the new scheduling method, and 43.2% of the companies could use it after a little modification of production.

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“…Until now, the focus has very much been on enabling IoT technologies, such as smart sensors, cloud computing and artificial intelligence, but virtualization can have a large organizational impact on business processes and supply chain collaboration as well (Chen et al 2014). While technology is maturing fast, innovation seems to be delayed by organizational barriers (Van Kranenburg and Bassi 2012; Hsu and Lin 2018;Brous, Janssen, and Herder 2020). Overcoming these requires a fundamental change of business strategies, business processes, firm capabilities, products and services, and key inter-firm relationships (Bharadwaj et al 2013;Falkenreck and Wagner 2017).…”

Section: Introductionmentioning

confidence: 99%

Enhancing digital transformation towards virtual supply chains: a simulation game for Dutch floriculture

Salvini

Hofstede

Verdouw

et al. 2020

Production Planning & Control

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The dual effects of the Internet of Things (IoT): A systematic review of the benefits and risks of IoT adoption by organizations

Cited by 242 publications

References 69 publications

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

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

Real-Time Decision-Support System for High-Mix Low-Volume Production Scheduling in Industry 4.0

Enhancing digital transformation towards virtual supply chains: a simulation game for Dutch floriculture

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