Building a Digital Marketing Internship Program for Technology-Based Start-Ups: An Exploratory Study of Student Experiences

Autor/inn/en	Merz, G. Russell; Ward, Jamie; Qrunfleh, Sufian; Gibson, Bud
Titel	Building a Digital Marketing Internship Program for Technology-Based Start-Ups: An Exploratory Study of Student Experiences
Quelle	In: Higher Education, Skills and Work-based Learning, 12 (2022) 2, S.210-224 (15 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Merz, G. Russell) ORCID (Ward, Jamie) ORCID (Qrunfleh, Sufian)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2042-3896
DOI	10.1108/HESWBL-04-2021-0072
Schlagwörter	Marketing; Internship Programs; Natural Language Processing; Computer Software; Student Attitudes; Factor Analysis; Summer Programs; Electronic Publishing; Computational Linguistics; Professional Education; Student Experience; Program Development; Comparative Analysis; Longitudinal Studies; Alumni; College Faculty; Universities; Internet; Information Technology; Michigan + Suchen Sie Ihr Suchwort? Berufspraktische Ausbildung; Natürliche Sprache; Schülerverhalten; Faktorenanalyse; Sommerkurs; Elektronisches Publizieren; Linguistics; Computerlinguistik; Berufsausbildung; Studienerfahrung; Programmplanung; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Fakultät; University; Universität; Informationstechnologie
Abstract	Purpose: The purpose of this paper is to describe the role and characteristics of the summer internship program (Digital Summer Clinic) delivered by Eastern Michigan University. The authors report the results of an exploratory study of interns participating in the Digital Summer Clinic over a five-year time period. The study captures and analyzes the experiences of interns as expressed in structured interviews and blog posts. Design/methodology/approach: The study data were text from structured interviews and blog posts capturing the "voice" of the interns. A natural language processing (NLP) analysis of the text corpus, consisting of 43 interviews and blog posts, resulted in the identification of 242 unique stem-terms used by interns in describing the internship experiences. The authors used the JMP Pro 15.2 Text Explorer algorithm (It is defined as a suite of computer programs for statistical analysis developed by the JMP business unit of SAS Institute) to extract the terms that were subsequently transformed and analyzed with factor analysis and regression to address the research questions. Findings: The factor analysis results found six dimensions or themes, defined by the stem-terms used by student interns, best described the internship experience. The authors then explored the relationship between the six themes and the umbrella term "internship" with multiple regression analysis. The regression findings suggest a hierarchy of effects with the theme "Introducing Professional Opportunities" being the theme most predictive of the umbrella term. Originality/value: The methodology used within the paper is unique in several ways when compared to other research investigating internship programs. First, it uses NLP analysis for the qualitative analysis of text-based descriptions of student experiences over a five-year time horizon. Second, the data analysis uses transformed text to quantitatively determine the major dimensions or themes expressed by the interns about their experiences in the Summer Clinic program. Finally, the relative importance of the themes identified provided direction for future program development. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2022/4/11