Applying machine learning to market analysis: Knowing your luxury consumer

Chi-Hsien, Kuo; Nagasawa, Shin’ya

doi:10.1080/23270012.2019.1692254

Cited by 47 publications

(20 citation statements)

References 26 publications

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“…Ghobakhloo & Ching, 2019;Kushwaha et al, 2020;Malhotra & Rishi, 2019;Mazurek & Małagocka, 2019;Oyelude, 2017;Pradhan & Chawla, 2020;Simou, Tiligadis, & Alexiou, 2013;Xu, 1999). Other studies explore the theoretical foundation for AI (Chi-Hsien & Nagasawa, 2019;Haenlein, Kaplan, Tan, & Zhang, 2019;Kurade & Latpate, 2020;Murphy, 2018;Tung, 2019;Xu & Li, 2000;Zou, 2014) and applications of AI (Duan & Xu, 2012;Kouziokas, 2017;Lu, 2019;Lu, Xu, Xu, Li, & Cai, 2018;Qiu, 2018;Sanchez, Exposito, & Aguilar, 2020;Xu, Liang, & Gao, 2001). However, few studies investigate AI adoption, particularly at the organizational level.…”

Section: It Adoption and Ai Adoptionmentioning

confidence: 99%

Explore success factors that impact artificial intelligence adoption on telecom industry in China

Chen

2020

Journal of Management Analytics

150

118

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As the core driving force of the new round of informatization development and industrial revolution, the disruptive achievements of artificial intelligence (AI) are rapidly and comprehensively infiltrating into various fields of human activities. Although technologies and applications of AI have been widely studied and factors that affect AI adoption are identified in existing literature, the impact of success factors on AI adoption remains unknown. Accordingly, this paper proposes a framework to explore the impacts of success factors on AI adoption in telecom industry by integrating the technology, organization, and environment (TOE) framework and diffusion of innovation (DOI) theory. Particularly, this framework consists of factors regarding external environment, organizational capabilities, and innovation attributes of AI. The framework is empirically tested with data collected by surveying telecom companies in China. Structural equation modeling is applied to analyze the data. The study provides support for firms' decision-making and resource allocation regarding AI adoption.

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Section: It Adoption and Ai Adoptionmentioning

confidence: 99%

Explore success factors that impact artificial intelligence adoption on telecom industry in China

Chen

2020

Journal of Management Analytics

150

118

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“…Scholars from various fields of management research, including strategic management (Adner et al, 2019) or marketing and consumer research (Chi-Hsien and Nagasawa, 2019; Dahan and Hauser, 2002), hail digital technologies for their capacity to create efficient ways of working and organizing, to develop new products and services, and to address and influence users, customers, clients, and the broader public (e.g., Brynjolfsson and McAfee, 2014; Constantiou and Kallinikos, 2015; Mount and Garcia Martinez, 2014; Varian, 2014; Yoo et al, 2012). As pointed out by Google’s chief economist, Hal Varian (2014), digital technologies can make transactions and interactions observable and controllable in real-time, which ultimately lowers transaction costs as well as costs of production.…”

Section: Introductionmentioning

confidence: 99%

Exploring the dark and unexpected sides of digitalization: Toward a critical agenda

et al. 2020

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Digitalization has far-reaching implications for individuals, organizations, and society. While extant management and organization studies mainly focus on the positive aspects of this development, the dark and potentially unexpected sides of digitalization for organizations and organizing have received less scholarly attention. This special issue extends this emerging debate. Drawing on empirical material of platform corporations, social movements, and traditional corporations, eight articles illuminate the various negative implications of the digitalization of work and organization processes, particularly for workers, employees, and activists. In this introduction, we contextualize these valuable contributions that underline the dangers of the ubiquity and simultaneity of digitalization and begin to sketch out potential avenues toward a comprehensive critical agenda of digitalization in organization studies.

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“…The KNN approach is a powerful tool that has received considerable attention. It has been successfully applied in several empirical studies [84][85][86][87].…”

Section: Methodsmentioning

confidence: 99%

Quantifying impacts of internships in an international agriculture degree program

Henneberry

Radmehr

2020

PLoS ONE

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The completion of a meaningful, hands-on international experience is a critical and required component of the Master of International Agricultural degree Program (MIAP) at Oklahoma State University. Understanding the impacts of the international experience/internship is important in designing a curriculum that well-prepares students for their personal, social, academic, and future professional life. Hence, the objective of this study is to evaluate the MIAP students' international experiences and to determine the factors that impact international experience outcomes. The benefits of international experiences are divided into five outcome areas that include personal, interpersonal, academic, employment, and civic impacts. The data is collected through an online survey of MIAP students. The variance based partial least squares structural equation modeling is used to develop three separate models with the goal of statistically measuring academic, employment, and civic impacts. The results of this study show that interns believe that international experience had enhanced each of their abilities. The findings of all three models show that the Humphreys travel grant has a statistically significant effect on interpersonal impacts. Additionally, the length of internship has a statistically significant association with personal impact in all three models, while it has a statistically positive indirect impact on academic, employment, and civic impact models, which indicates the full mediation effect. In addition, the number of hours worked weekly during the internship is found to have a significant positive relationship with employment impacts.

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Applying machine learning to market analysis: Knowing your luxury consumer

Cited by 47 publications

References 26 publications

Explore success factors that impact artificial intelligence adoption on telecom industry in China

Explore success factors that impact artificial intelligence adoption on telecom industry in China

Exploring the dark and unexpected sides of digitalization: Toward a critical agenda

Quantifying impacts of internships in an international agriculture degree program

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