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1 – 8 of 8Alicia Baik, Rajkumar Venkatesan and Paul Farris
We review the implications of the mobile technology for different stages of the consumer path to purchase including awareness, search, evaluation, store visit, and product choice…
Abstract
We review the implications of the mobile technology for different stages of the consumer path to purchase including awareness, search, evaluation, store visit, and product choice. Real-time and location-specific access to information and products are identified as distinguishing characteristics of mobile devices. While the literature on digital marketing is well developed, knowledge of the effects on the consumer path to purchase in the presence of dynamic and location-specific information is still scarce. Path to purchase models need to recognize the central and powerful role of user-generated content. Better management of marketing resources would require models that connect investments in mobile marketing to sales, and also model the synergies among different digital and offline media. We conclude with a framework that connects mobile media impressions to product choice, in the presence of other marketing media, and consumer and firm feedback loops.
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Tina Fleming and Alicia Stanway
The purpose of this paper, informed by an action research framework, was to evaluate how a collaborative approach between unit facilitators and learning advisors in a first-year…
Abstract
Purpose
The purpose of this paper, informed by an action research framework, was to evaluate how a collaborative approach between unit facilitators and learning advisors in a first-year core business unit contributes to an environment where students are actively engaged in their learning. Student engagement in their learning is a key priority for university faculties, particularly in first year, as it is a key factor in student performance and persistence in their studies.
Design/methodology/approach
Using the Australasian Survey of Student Engagement as a benchmark, a mixed-methods approach was adopted using an online survey (n = 171) and focus groups (n = 17).
Findings
Findings indicate that specific cohorts of students benefit from this collaborative learning model, as it encourages students to actively engage in their learning, provides them with early feedback on their performance, encourages self-reflection and provides transferable skills that form the foundation of their future learning.
Research/implications
The current study contributes to student engagement literature pertaining to the factors affecting student engagement in higher education.
Originality/value
The key lesson learnt is that the future success of embedded learning support relies heavily on building strong relationships between academic and professional staff.
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