Who Influences Whom? Analyzing Workplace Referents’ Social Influence on it Adoption and Non-Adoption

Eckhardt, Andreas; Laumer, Sven; Weitzel, Tim

doi:10.1057/jit.2008.31

Cited by 203 publications

(125 citation statements)

References 55 publications

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“…This inclusion is based on appropriate theoretical foundations (Ajzen 1991;Taylor and Todd 1995b) and empirical findings (e.g., Eckhardt et al 2009;Foon and Fah 2011;Yeow and Loo 2009) which support the effects of facilitating conditions on behavioural intention. This research also argues that anxiety could be used as an external variable in the proposed model.…”

Section: Proposed Research Model and Hypotheses Developmentmentioning

confidence: 99%

Citizens’ adoption of an electronic government system: towards a unified view

et al. 2015

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Sluggish adoption of emerging electronic government (eGov) applications continues to be a problem across developed and developing countries. This research tested the nine alternative theoretical models of technology adoption in the context of an eGov system using data collected from citizens of four selected districts in the state of Bihar in India. Analysis of the models indicates that their performance is not up to the expected level in terms of path coefficients, variance in behavioural intention, or the fit indices of the models. In response to the underperformance of the alternative theoretical models to explain the adoption of an eGov system, this research develops a unified model of electronic government adoption and tests it using the same data. The results indicate that the proposed research model outperforms all alternative models of technology adoption by explaining 77 % of variance in behavioural intention, with acceptable values of fit indices and significant relationships between each pair of hypothesised factors.

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Section: Proposed Research Model and Hypotheses Developmentmentioning

confidence: 99%

Citizens’ adoption of an electronic government system: towards a unified view

et al. 2015

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“…Şekil 1). (Armida, 2008;Birch, 2003;Eckhardt, Laumer & Weitzel, 2009;Lin & Anol, 2008;Venkatesh ve ark., 2003;. TKKBM'nin anlamlı faktörleri performans beklentisi, çaba beklentisi, sosyal etki ve kolaylaştırıcı durumlar olarak belirlenmiştir (Venkatesh ve ark., 2003).…”

Section: Teknoloji Kabul Ve Kullanım Birleştirilmiş Modeli (Tkkbm)unclassified

Çevrimiçi Sosyal Ağların Öğretim Amaçlı Kabul ve Kullanımı Ölçeğinin Geliştirilmesi

Demir¹,

Akbulut²

2017

Turkish Journal of Computer and Mathematics Education (TURCOMAT)

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Öz: Bu çalışmada bilişim teknolojileri (BT) öğretmen adaylarının çevrimiçi sosyal ağları (ÇSA) öğretim amaçlı kabul ve kullanım süreçlerine ilişkin bir ölçek geliştirilmiştir. Geliştirilen ölçeğin kuramsal çerçevesini teknoloji kabul modellerinden "Teknoloji Kabul ve Kullanım Birleştirilmiş Model"i oluşturmuştur. Açımlayıcı faktör analizi (AFA) için 302, doğrulayıcı faktör analizi (DFA) için 210 olmak üzere üç farklı devlet üniversitesinin Bilgisayar ve Öğretim Teknolojileri Eğitimi (BÖTE) bölümü öğrencilerinden veri toplanmıştır. Analizler sonucunda 36 maddeden oluşan dört faktörlü bir yapı ortaya konmuştur. ÇSA'ları öğretim amaçlı olarak kabul ve kullanım durumlarının performans beklentisi, çaba beklentisi, sosyal etki ve kullanma niyetlerinden etkilendiği sonucuna ulaşılmış; bu dört faktör toplam varyansın %67,02'sini açıklamış, yüksek bir iç tutarlılık katsayısı sergilemiştir (α=.97). Dört faktörlü bu yapıya ilişkin DFA sonucunda da kabul edilebilir uyum değerlerine ulaşılmıştır (RMSEA= 0.075; SRMR=0.080; NNFI= .094; CFI= .094; α=.93). Ölçekten alınan yüksek puan, BT öğretmen adaylarının ÇSA'ları öğretim amaçlı kabul durumlarının ve mesleki yaşamlarında kullanma eğilimlerinin yüksek olduğuna işaret etmektedir.Anahtar Kelimeler: Bilişim teknolojileri, çevrimiçi sosyal ağlar, yeniliklerin kabulü, teknoloji kabul ve kullanım birleştirilmiş modeli DOI: 10.16949/turkbilmat.298120 Abstract:The current study aimed to develop a scale to address the acceptance and use of online social networking sites (SNSs) for instructional purposes among information technology teachers. The theoretical framework of the scale was based on The Unified Theory of Acceptance and Use of Technology (UTAUT). Data were collected from computer education departments of three state universities to conduct an exploratory factor analysis (n: 302) followed by a confirmatory factor analysis (n: 210). Analyses revealed a four-factor structure which sheltered 36 items. It was observed that acceptance and use of SNSs for instructional purposes were composed of performance expectancy, effort expectancy, social influence and behavioral intention, which explained 67.02 percent of the total variance with a high internal consistency coefficient (α=.97). The confirmatory analysis on the four-factor structure revealed acceptable fit indices as well (RMSEA= 0.075; SRMR=0.080; NNFI= .094; CFI= .094; α=.93). Higher scores from the scale can be interpreted as higher acceptance rate and tendency to use SNSs for instructional purposes.Keywords: Information technologies, online social networks, acceptance of innovations, the unified theory of acceptance and use of technology See Extended Abstract GirişGünümüzde bilgi ve iletişim teknolojileri (BİT) sağlık, ekonomi, e-devlet uygulamaları ve iletişim gibi farklı alanlarda yoğun bir biçimde kullanılmaktadır.

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“…For example, it is possible that for a culture with a high level of power distance (e.g., China), influence from managers is much stronger than that from colleagues. Further research can build upon the findings of Eckhardt et al (2009) in order to assess whether the social influence of the various referent groups in private or workplace contexts differ within and across different cultures (e.g. the influence of a supervisor in contrast to the influence of colleagues and friends).…”

Section: In Corporate Byod Programsmentioning

confidence: 99%

Factors driving employee participation in corporate BYOD programs: A cross-national comparison from the perspective of future employees

Wang

Weeger

Gewald

2017

AJIS

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As individuals all around the world increasingly use mobile devices in their daily life, their desire to use the same devices in the workplace continuously grows. In response, organizations are more and more allowing their employees to use their own devices for both business and private purposes and offer so called 'Bring-your-own-Device' (BYOD) programs. For organizations with global operations there is a need to examine the drivers of BYOD demand across different national cultures to assess how to develop a successful BYOD program. Based on recent literature on BYOD, we examine how different factors contribute to employees' behavioural intention to participate in a BYOD program across different national cultures. The model was examined by surveying students from China, Germany and U.S. in their final term. The results show significant cross-cultural differences, particularly regarding the 'Perceived Threats'. Overall this study offers novel insights for cross cultural BYOD implementations.

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Who Influences Whom? Analyzing Workplace Referents’ Social Influence on it Adoption and Non-Adoption

Cited by 203 publications

References 55 publications

Citizens’ adoption of an electronic government system: towards a unified view

Citizens’ adoption of an electronic government system: towards a unified view

Çevrimiçi Sosyal Ağların Öğretim Amaçlı Kabul ve Kullanımı Ölçeğinin Geliştirilmesi

Factors driving employee participation in corporate BYOD programs: A cross-national comparison from the perspective of future employees

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