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Article
Publication date: 5 October 2023

Kenny A. Hendrickson and Kula A. Francis

In a previous study of authentic university academic caring (AUAC) at the University of the Virgin Islands (UVI), students perceived teaching faculty as the primary provider of…

Abstract

Purpose

In a previous study of authentic university academic caring (AUAC) at the University of the Virgin Islands (UVI), students perceived teaching faculty as the primary provider of academic caring and caregiving. This paper presents a research study on university faculty caring intelligence. University faculty caring intelligence is faculty's capacity to recognize the meaning and realities of caring within their performance, relationships and work environment.

Design/methodology/approach

A descriptive exploratory correlational research design was used to examine university faculty caring intelligence. A university academic caring framework and a faculty version of the Caring About Academic Care Inventory (CAACI) were employed. The university academic caring framework was used to guide the research. The faculty version of the CAACI assessed university faculty's discernments of AUAC within identified interfacing university academic caregiving points (institutional, instructional, academic management and academic counseling). The study sample consisted of 76 UVI faculty.

Findings

Factor score correlation completed in this work revealed strong relationships between the identified features university academic caring based on faculty perceptions.

Research limitations/implications

Though the study is limited due to the sampling, UVI faculty's perception of AUAC was significantly evaluated. A model of UVI faculty caring intelligence was constructed from empirical evidence.

Originality/value

Studying caring intelligence of university faculty offered something new: a means to assess how faculty recognize the meaning of caring within themselves, their function, relationships and work environment. Caring intelligence can be used to predict faculty performance and their relationships within the university academic environment.

Details

Journal of Applied Research in Higher Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-7003

Keywords

Article
Publication date: 22 April 2024

Madhurima Basu, Rai Siddhant Sinha, M.K. Nandakumar, Pradeep Kumar Hota and Martina Battisti

This study aims to synthesize and conceptualize the highly fragmented yet important literature on racial discrimination in entrepreneurship.

Abstract

Purpose

This study aims to synthesize and conceptualize the highly fragmented yet important literature on racial discrimination in entrepreneurship.

Design/methodology/approach

A bibliometric analysis and literature review were performed that involved 523 articles containing 26,926 references.

Findings

The bibliometric analysis identified three dominant research themes that comprehensively illustrate the state of research in this domain: strategic, sociocultural and individual-level perspectives. The synthesis of extant literature helped in formulating a holistic conceptual model that portrays the genuineness of racial discrimination in entrepreneurship. The sources, factors and impact of racial discrimination faced by entrepreneurs were identified. Based on the review and analysis of keywords, certain fruitful future research directions were formulated that will take the field forward.

Originality/value

This work is the first attempt to review the literature that narrows down the focus to racial discrimination in entrepreneurship (from other discriminations such as gender, cultural and religious discrimination) as one form of discrimination due to its unique origins and consequences.

Details

Journal of Small Business and Enterprise Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1462-6004

Keywords

Article
Publication date: 11 January 2024

Yashdeep Singh and P.K. Suri

This study aims to describe the m-learning experience of school students and teachers during the COVID-19 pandemic and explores the factors influencing the continuance intention…

Abstract

Purpose

This study aims to describe the m-learning experience of school students and teachers during the COVID-19 pandemic and explores the factors influencing the continuance intention of m-learning.

Design/methodology/approach

Semistructured interviews of 24 students and 09 teachers of schools in national capital territory (NCT) Delhi, India were conducted over 03 months and transcribed verbatim. A hermeneutic phenomenological design was used to interpret the text and bring out the “lived experiences” of m-learning.

Findings

The following 15 themes or factors influencing continuance intention emerged through the hermeneutic circle: (1) actual usage, (2) attitude, (3) context, (4) extrinsic motivation, (5) facilitating conditions, (6) intrinsic motivation, (7) perceived compatibility, (8) perceived content quality, (9) perceived mobile app quality, (10) perceived teaching quality, (11) perceived usefulness, (12) satisfaction, (13) self-efficacy, (14) self-management of learning and (15) social influence.

Research limitations/implications

The study offers insightful recommendations for school administrators, mobile device developers and app designers. In addition, suggestions for effectively using m-learning during disasters such as COVID-19 have been provided. Several future research directions, including a nuanced understanding of m-assessment and online discussions, are suggested to enhance the literature on m-learning continuance.

Originality/value

The study enriches the literature on m-learning continuance. A qualitative approach has been used to identify relevant factors influencing m-learning continuance intention among secondary and higher secondary level (Grades 9 to 12) school students and teachers in India. In addition, a conceptual framework of the relationships among the factors has been proposed. Further, an analysis of the lived experiences of m-learning during the COVID-19 pandemic indicated several issues and challenges in using m-learning during disasters.

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