Technology acceptance and m‐commerce in an operational environment

Abstract

Purpose -To provide a case study in the implementation of mobile technologies in an operations management environment, and viewed through a model for technology acceptance. Design/methodology/approach -This is an assessment of the technology acceptance model (TAM) through action research, a practical implementation based upon understandings developed in the TAM. Findings -Provides fresh data to further develop the TAM, shedding light on some of the factors expounded within TAM, and their relationships. Research limitations/implications -This is not the empirical research required to fully validate the TAM, but is useful in terms of investigating its various features within a detailed case study. It is also useful in terms of the project management implications for the implementation of new technologies. Practical implications -Useful for those looking at the practical implementation of mobile technologies in an operations environment, and highlights the role of technology acceptance in the project management process. Originality/value -This paper fulfils an important role in helping to validate the TAM developed by other researchers.

Determinants of Use of Information and Communication Technologies in Agriculture: The Case of Kenya Agricultural Commodity Exchange in Bungoma County, Kenya

“…Perceived usefulness has been considered an important influence in technology adoption (Snowden, Spafford, Michaelides, & Hopkins, 2006). However, the respondent's contact with extension workers was not statistically significant, perhaps an indication of a weakening impact of extension on farmer's decision to use the technology.…”

“…Motivational and educational strategies aimed at overcoming resistance, demonstrating the usefulness of the technologies and developing digital skills and content are necessary (Snowden et al, 2006). Extensive experience shows that facilitating farmers' access to ICTs can be realized through telecentres and computer-supply and connectivity programmes for rural schools.…”

“…Adoption models have shown that ease of use influences acceptance of technology (Snowden et al, 2006) There is need to design technologies that takes care of the interest of the older people. This group constitutes a significant number of the users of commercial services.…”

Young Consumers’ Perception of Problems and Usefulness of Mobile Shopping Applications

“…Several perceived consequences are stated as critical determinants in the context of mobile technology adoption in the existing literature: (1) perceived usefulness/value (Mahatanankoon et al, 2006;Snowden & Spafford, 2006;Yang, 2005); (2) perceived ease of use (Cheong & Park, 2005;Kurnia et al, 2006;Lin & Wang, 2005;Malhotra & Segars, 2005;Wai, 2012); (3) perceived risk (Laundon & Traver, 2007;Turban, 2008;Wai, 2012); (4) perceived enjoyment (Hong et al, 2006;Pagani, 2004); and (5) perceived obstacles (Childs, 2013).…”

“…Applying the same concept in the context of Apps technology, Wai (2012) interpreted PEOU as "the extent to which users perceive the ease of interaction with Apps enables them to receive proper and useful information they need". For mobile phone users, the ease to use is a crucial factor (Cheong & Park, 2005;Snowden & Spafford, 2006) just like perceived usefulness (PU), the degree to which a person believes that engaging in online transactions via mobile commerce would enhance his performance. Perceived usefulness or value means that m-commerce creates value for customers by providing services and additional benefits when compared to traditional ecommerce applications (Tsalgatidou & Pitoura, 2001).…”