An empirical study of mobile commerce in insurance industry: Task–technology fit and individual differences

Lee, Ching-Chang; Cheng, Hsing Kenneth; Cheng, Hui-Hsin

doi:10.1016/j.dss.2005.05.008

Cited by 251 publications

(169 citation statements)

References 27 publications

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“…If knowledge contributors/seekers do not have confidence in such system usage, they will not view the experience of these KMSs to be appropriate to the task. Moreover, several recent studies have indicated that there is a positive relationship between self-efficacy and perceived task technology fit [45,51]. Therefore, H6: KMS self-efficacy is positively related to perceived task technology fit.…”

Section: Linking Social Cognitive Theory To Kms Usagementioning

confidence: 99%

“…The inclusion of individual abilities is supported by both Work Adjustment Theory from which TTF was originally derived and recent MIS studies which categorizes individual difference variables as cognitive factors, demographics, personality and experience that are positively associated with IT utilization [45,51,77]. Among these constructs, the most frequently cited personality factor in information systems literature is computer self-efficacy which was originated from social cognitive theory (SCT) [19].…”

Section: Task Technology Fit and Social Cognitive Theorymentioning

confidence: 99%

“…Lee, Cheng, and Cheng [51] Propose and validate a modified task-technology fit model that focuses on individual differences to explore the factors affecting the effective adoption of mobile commerce in the insurance industry.…”

Section: Task Technology Fit and Social Cognitive Theorymentioning

confidence: 99%

See 2 more Smart Citations

Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit

Lin

Huang

2008

Information & Management

396

225

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Section: Linking Social Cognitive Theory To Kms Usagementioning

confidence: 99%

Section: Task Technology Fit and Social Cognitive Theorymentioning

confidence: 99%

See 1 more Smart Citation

Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit

Lin

Huang

2008

Information & Management

396

225

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“…Lee, Cheng and Cheng (2007), regarded mobile marketing as a tool for front-line staff improving person to person interactions between insurance agents and consumers, defined as internal mobile marketing. Based on these results the potential value of mobile marketing for retail front-line staff include: increased efficiency and effectiveness in service interactions, increased work capacity and service quality, and increased capacity to match consumer needs by providing information services about products and product use.…”

Section: The Improved Value Of Mobile Marketingmentioning

confidence: 99%

Mobile marketing: A literature review on its value for consumers and retailers

Ström

Vendel

Bredican

2014

Journal of Retailing and Consumer Services

179

117

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The article describes the existing knowledge of how mobile marketing can increase value for consumers and retailers. Mobile device shopping, and consumers' use of mobile devices while shopping is shown to be both an extension of consumers' shopping behaviours developed on Internetconnected desktop and laptop computers (PC), and potentially new behaviours based on a mobile devices' uniquely integrated features such as camera, scanners and GPS. The article focuses on how mobile marketing creates value for consumers and retailers, enabling more precise research and development of managerial concepts and tools while providing both managers and academics with increased understanding of mobile marketing and it's value outcomes for retailers. Keywords:Mobile marketing, integration, and value creation. 3 1.0 INTRODUCTION Mobile devices and mobile applications offer retailers more than just the opportunity to exploit a new channel to reach customers. Mobile devices offer opportunities to combine information search, phone functionality and interaction while shopping in-store or using a product. A mobile device is a constant companion to the consumer, a gateway to a relationship between the consumer and the retailer, making it an ideal supplementary channel for distance selling and physical retailing (Shankar, Venkatesh, Hofacker et al, 2010). An industry study showed that half of US mobile consumers The major impacts of the Internet on retailing are the reduced search costs for the consumer (Bakos, 1997, Lynch & Ariely, 2000, an increasing variety of products offered (Brynjolfsson, Hu & Smith, 2003) lower prices (Brynjolfsson & Smith, 2000), empowering consumers to make better choices for themselves, and increasing the relationship with the purchased brand after purchase (Edelman, 2010). As an example, Court, Elzinga, Mulder et al, (2009) found that 60% of consumers of facial skin care products conducted online research after purchase. But in purchasing situations when consumers want an experience, a product trial, in-store atmosphere, or interaction with a salesperson, the Internet distance selling falls short of expectations (Daugherty, Li & Biocca, 2008).In conceptual studies, the additional value created by mobile services for consumers derived from being accessible independent of time and place (Balasubramanian, Peterson & Jarvenpaa, 2002, 4 Chen & Nath, 2004), and being customized based on time, location and personal profile (Figge, 2004), self-ascribed roll categories (Professional (on duty), private (off duty)) and stance categories (busy, time on hand, waiting) (Dholakia & Dholakia, 2004). According to Kumar and Zahn (2003), the real business drivers for mobile technology were customer interaction and operational efficiency, potentially increasing retailer effectiveness and efficiency. Conceptual studies presented suggestions on mobile marketing value chains consisting of several activities performed by multiple actors (Barnes, 2002, Buellingen & Woerter, 2004, improving communication and sales (Mama...

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“…The rationale behind integrating PC in UTAUT is increasing managerial focus on critical challenge to offer safe and secure virtual environment that allow their customers to make full use of IB services. On the other hand, a review of more recent studies suggests that relevance of a new technology to address a specific need might importantly shape the adoption behaviour of customers (Lee et al, 2007). In this study, we integrated the TTF within the UTAUT as an antecedent of BI.…”

mentioning

confidence: 99%

Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon

Tarhini

El-Masri

Ali

et al. 2016

ITP

324

236

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Design/methodology/approach -A conceptual framework was developed through extending the unified theory of acceptance and use of technology (UTAUT) by incorporating two additional factors namely; perceived credibility (PC) and task-technology fit (TTF). A quantitative approach based on cross-sectional survey was used to collect data from 408 IB consumers. Data were analysed using structural equation modelling based on AMOS 20.0. Findings -The results of the structural path revealed that performance expectancy (PE), social influence, PC and TTF to be significant predictors in influencing customers' behavioural intention (BI) to use IB and explained 61 per cent of its variance, with PE was found the strongest antecedent of BI. Contrary to the UTAUT, the effect of effort expectancy on BI was insignificant. In addition, both BI and facilitating conditions were found to affect the actual usage behaviour and explained 64 per cent of its variance Practical implications -This study would be helpful for bank managers and policy makers to explain the currently relatively low penetration rate of IB in formulating strategies to encourage the adoption and acceptance of IB by Lebanese customers, where IB is still considered an innovation. Originality/value -This study is the first research that extend the UTAUT by incorporating two additional factors namely; PC and TTF to study the IB in the Lebanese context. This study contributes to the research on computer technology usage by looking at IB adoption and incorporation into the lives of customers via the BI to use and actual usage of IB in Lebanon.

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An empirical study of mobile commerce in insurance industry: Task–technology fit and individual differences

Cited by 251 publications

References 27 publications

Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit

Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit

Mobile marketing: A literature review on its value for consumers and retailers

Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon

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