Customer relationship management technology: bridging the gap between marketing education and practice

Harrison, Dana E.; Ajjan, Haya

doi:10.1057/s41270-019-00063-6

Cited by 17 publications

(11 citation statements)

References 89 publications

(103 reference statements)

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“…Limited studies explore the impact of exposure to sales technology in the classroom on student development and job performance. One exception is Harrison and Ajjan’s (2019) study of CRM technologies in marketing education and practice. These authors found that students’ who have experience with advanced CRM technologies are more competitive in the job market.…”

Section: Discussion Of General Resultsmentioning

confidence: 99%

A Critical Review of the Literature for Sales Educators 2.0

Cummins

Nielson

Peltier

et al. 2020

Journal of Marketing Education

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In this article, we review the recent expansion within the sales education literature from five primary journals and the business literature at large. The five primary journals are the Journal of Marketing Education, Marketing Education Review, Journal for the Advancement of Marketing Education, Journal of Education for Business, and the Journal of Personal Selling & Sales Management. Of the 119 identified articles published in the past 15 years, experiential learning, career development, and assessment were the three most prominent topics. Of these, 69% were published after the Cummins et al. review article “A Critical Review of the Literature for Sales Educator,” which was published in Journal of Marketing Education as a means of expanding sales education research. Future research opportunities in sales education are offered with suggested hypotheses for investigation. A reference table of classroom innovations is provided as an easy guide to instructors seeking vetted pedagogical enhancements.

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Section: Discussion Of General Resultsmentioning

confidence: 99%

A Critical Review of the Literature for Sales Educators 2.0

Cummins

Nielson

Peltier

et al. 2020

Journal of Marketing Education

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“…As language models become prevalent, students will encounter them frequently, directly or through search engines like Bing, Google and Brave (Harrison & Ajjan, 2019). Language models can generate assessed work in a human-like manner (Dwivedi et al, 2023;Farrokhnia et al, 2023).…”

Section: Concerns Of Chatgpt On Students' Over-relyingmentioning

confidence: 99%

“…Language models can generate assessed work in a human‐like manner (Dwivedi et al., 2023; Farrokhnia et al., 2023). The generated text, however, in terms of the knowledge it offers and the accuracy of the knowledge, unless checked, is questionable (Harrison & Ajjan, 2019; Roy & Rambo‐Hernandez, 2021). It is tempting to suggest that language models only be used to develop early drafts and that the output is thoroughly checked (Farrokhnia et al., 2023; Mohdzaini, 2023).…”

Section: Students' Use Of Chatgptmentioning

confidence: 99%

“…In the future, students and academic institutions will likely live with language models (Dwivedi et al., 2023; Farrokhnia et al., 2023). When students are exposed to language models (Harrison & Ajjan, 2019; or when they expose themselves to them), academic institutions need to have policies explaining the use of generative AI. Clarity around the use of language models helps students to adapt to such advancements.…”

Section: Students' Use Of Chatgptmentioning

confidence: 99%

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Exploring the impact of language models, such as ChatGPT, on student learning and assessment

Zirar

2023

Review of Education

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Recent developments in language models, such as ChatGPT, have sparked debate. These tools can help, for example, dyslexic people, to write formal emails from a prompt and can be used by students to generate assessed work. Proponents argue that language models enhance the student experience and academic achievement. Those concerned argue that language models impede student learning and call for a cautious approach to their adoption. This paper aims to provide insights into the role of language models in reshaping student learning and assessment in higher education. For that purpose, it probes the impact of language models, specifically ChatGPT, on student learning and assessment. It also explores the implications of language models in higher education settings, focusing on their effects on pedagogy and evaluation. Using the Scopus database, a search protocol was employed to identify 25 articles based on relevant keywords and selection criteria. The developed themes suggest that language models may alter how students learn and are assessed. While language models can provide information for problem‐solving and critical thinking, reliance on them without critical evaluation adversely impacts student learning. Language models can also generate teaching and assessment material and evaluate student responses, but their role should be limited to ‘play a specific and defined role’. Integration of language models in student learning and assessment is only helpful if students and educators play an active and effective role in checking the generated material's validity, reliability and accuracy. Propositions and potential research questions are included to encourage future research.

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“…The customer data processing evolution is a result of the ICT and online strategies development (Chen, 2017). CRM built its strategies on data analytics results to develop competitive strategies (Harrison, 2019).…”

Section: Crm As Support To E-commercementioning

confidence: 99%

Enterprise Digital Divide: Website e-Commerce Functionalities among European Union Enterprises

Jaković

Ćurlin

Miloloža

2021

Business Systems Research Journal

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Background: Information and communication technologies (ICTs) gained prevalent organizational and structural value in the modern economy. E-commerce is one of the sectors directly influenced by technological change. However, not all countries have the same opportunities to develop e-commerce growth; there are significant discrepancies in ICT utilization worldwide, known as the digital divide. Objectives: The purpose of this paper is to explore the level of difference among European countries regarding the e-commerce functionalities in their enterprises using a cluster analysis. Methods/Approach: To accomplish the paper goal, the k-means cluster analysis was conducted on the Eurostat data from 2019. Enterprises from 28 European countries were taken into consideration. The Kruskal-Wallis test is used to explore if the differences among clusters regarding the digital development, measured by the Digital Economy and Society Index are significant. Results: The investigation confirmed that there are significant differences among European countries regarding the development of e-commerce. However, a similar level of e-commerce is not related to economic and digital development. Conclusions: Since the relationship between economic development and e-commerce development in European countries is not linear, country-level policies are likely to be significant factors driving e-commerce development, which leads to the need for further investigation of this issue.

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Customer relationship management technology: bridging the gap between marketing education and practice

Cited by 17 publications

References 89 publications

A Critical Review of the Literature for Sales Educators 2.0

A Critical Review of the Literature for Sales Educators 2.0

Exploring the impact of language models, such as ChatGPT, on student learning and assessment

Enterprise Digital Divide: Website e-Commerce Functionalities among European Union Enterprises

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