An Approach to Integrating Market Research with Customer Insights through the Development of IoT Products

Straker, Karla; Mosely, Genevieve; Wrigley, Cara

doi:10.1080/08961530.2020.1792387

Cited by 5 publications

(4 citation statements)

References 33 publications

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“…There are the key to connect platform to application. The connection of objects read and processed on this layer [30], [35]. Storage of data which has been analyzed or read could be saved on data storage and data mining by cloud computing or on server computer which programming take on the social network building [31], [36].…”

Section: System and Item Of Iotmentioning

confidence: 99%

“…First, the interaction can be recorded when student interact with mobile application, their friend and science smart object, than it is saved automatically on data storage. Second, the data storage could be analysed by programming system [35]. When student take action on device, it is analysed directly by network communication.…”

Section: Game Based Learning Connecting Iotmentioning

confidence: 99%

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Developing Science Education Game Based on Internet of Things (IoT): Materials and Methods Overview

Husnanda¹,

Ikhsan²

2021

Advances in Social Science, Education and Humanities Research

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Making education media particular serious game for learning science based on technology trend need more notice and discussion. So that, the aim of this article was discuss what we need to develop education game engage IoT ecosystem. This research method is content analyse which analyse some research about IoT, IoT gamification, and IoT education. There is compatibility from student and teacher need when run and after run IoT as their game platform on classroom. The result of this research are how to build and what are guidelines of developer and teacher. In addition, the challenge and solution of establishing IoT such as security term was founded. Therefore, the general guidelines and requirement can be reasoning for developer or teacher who interested to exercise IoT on game based learning.

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Section: System and Item Of Iotmentioning

confidence: 99%

Section: Game Based Learning Connecting Iotmentioning

confidence: 99%

Developing Science Education Game Based on Internet of Things (IoT): Materials and Methods Overview

Husnanda¹,

Ikhsan²

2021

Advances in Social Science, Education and Humanities Research

View full text Add to dashboard Cite

show abstract

“…By changing the traditional control and connection methods, the development direction of the entire industry and even the entire society will be changed. rough the intelligent and networked connection and management of the Internet of ings, better development and progress of human society can be achieved [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Multipoint Ecological Environment Monitoring System with Internet of Things

Chen

2022

Mathematical Problems in Engineering

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Science and technology is a double-edged sword; while it brings convenience to people, it also threatens the environment of human. The pollution of the ecological environment has reached a point that cannot be ignored. Traditional methods and measures to protect or monitor the environment can no longer meet the increasing environmental pollution. Therefore, we should use the latest scientific and technological achievements to improve our environment. Through high-tech means to monitor the changes in the ecological environment pollution, we always remind people to protect environment. With continuous innovation of sensing, communication, and embedded technology, the monitoring system also needs to be updated accordingly, which has great research significance. With Internet of Things technology, this work has researched and designed a multipoint ecological environment monitoring system. It can realize intelligent monitoring for ecological environment, achieving the goal of integrating the measurement parameters of the ecological environment monitoring, the system modularization, the real-time data transmission, and the integration of monitoring services.

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“…Obtaining customer insights—understanding customer needs, wants, and challenges (Price, Wrigley, and Straker 2015) along with relevant behaviors (Straker, Mosely, and Wrigley 2021)—is considered a strategic asset for firms and underpins most marketing activities (Berger et al 2020; Price and Wrigley 2016). Obtaining deeper customer insights informs “the creation of offerings that are most aligned with their customer’s needs and preferences” (Gupta et al 2020, p. 27).…”

mentioning

confidence: 99%

Detecting Pain Points from User-Generated Social Media Posts Using Machine Learning

Salminen¹,

Mustak²,

Corporan³

et al. 2022

Journal of Interactive Marketing

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Artificial intelligence, particularly machine learning, carries high potential to automatically detect customers’ pain points, which is a particular concern the customer expresses that the company can address. However, unstructured data scattered across social media make detection a nontrivial task. Thus, to help firms gain deeper insights into customers’ pain points, the authors experiment with and evaluate the performance of various machine learning models to automatically detect pain points and pain point types for enhanced customer insights. The data consist of 4.2 million user-generated tweets targeting 20 global brands from five separate industries. Among the models they train, neural networks show the best performance at overall pain point detection, with an accuracy of 85% (F1 score = .80). The best model for detecting five specific pain points was RoBERTa 100 samples using SYNONYM augmentation. This study adds another foundational building block of machine learning research in marketing academia through the application and comparative evaluation of machine learning models for natural language–based content identification and classification. In addition, the authors suggest that firms use pain point profiling, a technique for applying subclasses to the identified pain point messages to gain a deeper understanding of their customers’ concerns.

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An Approach to Integrating Market Research with Customer Insights through the Development of IoT Products

Cited by 5 publications

References 33 publications

Developing Science Education Game Based on Internet of Things (IoT): Materials and Methods Overview

Developing Science Education Game Based on Internet of Things (IoT): Materials and Methods Overview

Multipoint Ecological Environment Monitoring System with Internet of Things

Detecting Pain Points from User-Generated Social Media Posts Using Machine Learning

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