Antecedents of Corporate Adoption of Social Media and the Role of the Technology Acceptance Model in the Path*

Lee, Jung Wan; Becker, Kip; Potluri, Rajasekhara Mouly

doi:10.13106/jafeb.2016.vol3.no2.67.

Cited by 9 publications

(12 citation statements)

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“…Previous studies also focused heavily on antecedents of conventional IT adoption (e.g. perceived ease of use, perceived usefulness and perceived benefits and rewards) to examine ESM adoption (Lee et al, 2016). Early in the development of ESM, Schneckenberg (2009) argued that perceived ease of use contributes to the massive use of ESM.…”

Section: Analysis Of Landmark Research In the Esm Literaturementioning

confidence: 99%

A review of enterprise social media: visualization of landscape and evolution

Shi

et al. 2021

INTR

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PurposeThe purpose of this review is to systematically understand the development of enterprise social media (ESM) research, quantitatively analyze the landscape and track the development of ESM literature and reveal new trends and challenges in ESM research.Design/methodology/approachBased on 321 relevant literature studies (2005–2020) collected from the Web of Science core collection, the visualization tool CiteSpace is used to conduct bibliometric cocitation and cooccurrence analyses to quantify and visualize the landscape and evolution of ESM research.FindingsThrough analyzing the author cocitation network, document cocitation network, journal cocitation network and keywords cooccurrence network, this review proposes an integrated research framework, which highlights major purposes, antecedents and consequences of ESM use in organizations and presents future research trends of ESM research.Originality/valueDifferent from the existing qualitative review of ESM, this review adopts bibliometric review to quantify and visualize the landscape of ESM research.

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Section: Analysis Of Landmark Research In the Esm Literaturementioning

confidence: 99%

A review of enterprise social media: visualization of landscape and evolution

Shi

et al. 2021

INTR

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“…Y. Park et al, 2012), mobile/digital banking (Aboelmaged and Gebba, 2013;Le et al, 2020;Nguyen, 2020), social media (Dumpit and Fernandez, 2017;J. W. Lee et al, 2016;Rauniar et al, 2014), and games (E. Park et al, 2014;Wang and Goh, 2017;Zhu et al, 2012).…”

Section: Technology Acceptance Modelmentioning

confidence: 99%

Investigating Roles of Self-Efficacy on Mobile Games Adoption in Indonesia

Arimbawa

Shanti

Pratama

2020

JMTT

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The gaming industry has become one of the most promising markets, and playing a game is also has been considered as the best leisure and entertainment activities in the last few decades. Understanding how consumers within the market behave is important to decide the best marketing strategy to be applied to achieve a competitive advantage in the market. Technology Acceptance Model (TAM) has been widely used to examine the adoption of technology and/or information system-related products. This study's main purpose is to investigate player’s intention to play games on a mobile platform in Indonesia. We predict self-efficacy as the keys determinant factor that could affect player’s adoption of mobile games. Data calculation conducted by utilizing SmartPLS 3.2. The finding of this study proved that self-efficacy is a strong determinant of players’ mobile game adoption. Besides, we found interesting results in which perceived ease of use and attitude toward use did not have a significant direct effect on players’ intention to play mobile games. Theoretically, this study provides an integrated conceptual model to explain the role of self-efficacy on mobile game adoption. Strategically, this study results could help mobile game marketers to build the best marketing strategy for their targeted players.

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“…Internet searches' patterns and terms also reveal that how people discern or think about the product, people or business (Park et al, 2017;Park & Alenezi, 2018). As a consequence, most global leading companies have opened their accounts on the social media and showed these on their companies' websites to manage company reputation and profile with social media (Lee et al, 2016;Becker & Lee, 2019).…”

Section: Decision-making Based On Big Data Using Data Mining Techniquesmentioning

confidence: 99%

“…Traditionally, news media, and currently social media such as Facebook and Twitter, have become crucial channels to reflect those, and these issues become invaluable factors in showing global trends and phenomena for businesses. Therefore, analyzing the media contents and understanding associate rules through two different types of media channels (traditional media channels, and at the same time, modern channels of social media such as YouTube and Twitter, which are global real-time platforms) will lead to find and predict key issues, and then it will create steady communication and empathy with consumers, greatly contributing to understanding consumer behavior and their responses (Chong, 2015;Lee, Becker, & Potluri, 2016;Han, Kim, & Lee, 2017). Especially, data mining, big data, and application of social media are considered as a fertile and trendy field for researchers.…”

Section: Introductionmentioning

confidence: 99%

“…Accordingly, a big data is quickly changing the meaning and practice of workplace, and then it affects business strategy to encourage and empower organizations to do data-informed decision. The real value of data-fluent organization, though, is to help drive improvements for the entire organization and make the organization run better because data-driven culture enables innovation and empowerment in an organization (Amigobulls, 2015;Lee et al, 2016;Becker & Lee, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Data Empowered Insights for Sustainability of Korean MNEs

PARK¹

2019

JAFEB

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This study aims to utilize big data contents of news and social media for developing a corporate strategy of multinational enterprises and their global decision-making through the data mining technique, especially text mining. In this paper, the data of 2 news media (BBC and CNN) and 2 social media (Facebook and Twitter) were collected for the three global leading Korean companies (Samsung, Hyundai Motor Company, and LG) from April, 2018 to April, 2019. The findings of this paper have shown that traditional news media and also modern social media have become devastating tools to extract global trends or phenomena for businesses. Moreover, this presents that a company can adopt a two-track strategy through two different types of media by deriving the key issues or trends from news media channels and also grasping consumers' sentiments, preference or issues of interest such as battery or design from social media. In addition, analyzing the texts of those media and understanding the association rules greatly contribute to the comparison between two different types of media channels to see the difference. Lastly, this provides meaningful and valuable data empowered insights to find a future direction comprehensively and develop a global strategy for sustainability of business.

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Antecedents of Corporate Adoption of Social Media and the Role of the Technology Acceptance Model in the Path*

Cited by 9 publications

References 0 publications

A review of enterprise social media: visualization of landscape and evolution

A review of enterprise social media: visualization of landscape and evolution

Investigating Roles of Self-Efficacy on Mobile Games Adoption in Indonesia

Data Empowered Insights for Sustainability of Korean MNEs

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