Generation Z in India: Digital Natives and Makers of Change

Hameed, Shaheema; Mathur, M. D.

doi:10.1108/978-1-80043-220-820201010

Cited by 20 publications

(8 citation statements)

References 2 publications

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“…3.1.3 Generation Z : The demographic cohort whose birth years are between 1995 and 2000 belong to this generation. This cohort is characterized by their unprecedented engagement with technology, high diversity acceptance and their contrastingly learning-oriented work attitude from the previous generations (Hameed and Mathur, 2020).…”

Section: Review Of Literaturementioning

confidence: 99%

“…India is a rapidly developing economy (Iqbal and Sami, 2017; Kapoor, 2014) with an expanding internet infrastructure (Jain, 2014; Sharma and Govindaluri, 2014) and among the largest Generation Z population in the world (Hameed and Mathur, 2020; Dutt, 2018). The banking industry is one that has harnessed the power of the rapid adoption of the internet.…”

Section: Introductionmentioning

confidence: 99%

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Exploring India’s Generation Z perspective on AI enabled internet banking services

Hameed

Nigam²

2022

Self Cite

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Purpose India is a rapidly developing economy with a rapidly expending internet infrastructure and among the largest Generation Z population. This generation is tech savvy and the access to technology and network creates a conducive environment for such usage. Internet banking for the same reasons is growing leaps and bounds. The introduction of artificial intelligence (AI) has created disruptions in the traditional banking also. This paper aims to analyze the comfort level and usage of AI-enabled banking services by Generation Z. Design/methodology/approach The data is collected from 272 Generation Z members. The differential aspects, that is, the relationship of independent variables with dependent variables (AI-enabled internet banking), were analyzed using the structural equation modeling approach. Findings Defining factors for AI-enabled internet banking were identified. The results of factors were consistent with previous studies. It was found that the usage of AI-enabled internet banking services is insignificant, indicating that Generation Z does not perceive any advantage in using AI-enabled internet banking services. Research limitations/implications This paper does not incorporate age groups other than Generation Z. Further research could throw light on the difference based on age groups. Further research is required to deeply understand why Generation Z does not perceive AI-enabled internet services as very important. Practical implications It has been observed that internet banking is important for Generation Z, but they also place greater importance on interpersonal communication. Banks need to consider this in designing their internet banking services. Originality/value This paper addresses the gap between comfort with and usage of AI-enabled internet banking services, by Generation Z. This paper indicates that the comfort with AI-enabled internet banking services does not translate to usage.

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Section: Review Of Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring India’s Generation Z perspective on AI enabled internet banking services

Hameed

Nigam²

2022

Self Cite

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“…The common objectives between promoting a healthy environment and acceptance of smart technology has augmented the interest in studies related to technology acceptance (Toft et al , 2014). Interestingly, with approximately 472 million Gen Z individuals in India, they formed the largest proportion of the young population segment in the world (Hameed and Mathur, 2020). In recent years, the practice of unhealthy behaviours like consumption of junk food, improper sleep cycles, lack of regular exercise regimes and sedentary lifestyles had led to health and fitness-related problems among Gen Z individuals (Manson et al , 2004; Sousa et al , 2014).…”

Section: Introductionmentioning

confidence: 99%

Exploring the factors influencing adoption of health-care wearables among generation Z consumers in India

Nayak

Bhattacharyya

Kumar

et al. 2021

JICES

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Purpose The purpose of this study is to identify the major factors influencing the adoption of health-care wearables in generation Z (Gen Z) customers in India. A conceptual framework using push pull and mooring (PPM) adoption theory was developed. Design/methodology/approach Data was collected from 208 Gen Z customers based on 5 constructs related to the adoption of health-care wearables. Confirmatory factor analysis and structural equation modelling was used to analyse the responses. The mediation paths were analysed using bootstrapping method and examination of the standardized direct and indirect effects in the model. Findings The study results indicated that the antecedent factors consisted of push (real-time health information availability), pull (normative environment) and mooring (decision self-efficacy) factors. The mooring factor (MOOR) was related to the push factor but not the pull factor. The MOOR, in turn, was related to the switching intention of Gen Z customers for health wearables adoption. Research limitations/implications The research study extended the literature related to the PPM theory in the context of the adoption of health wearables among Gen Z customers in India. Practical implications The study outcome would enable managers working in health wearable organizations to understand consumer behaviour towards health wearables. Social implications The use of health wearables among Gen Z individuals would lead to future generations adopting a healthy lifestyle resulting in an effective workforce and better economy. Originality/value This was one of the few studies which have explored the PPM theory to explore the factors for the adoption of health wearables among Gen Z customers in India.

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“…Another thing we focused on was the investigation of the online learning experience according to the characteristics of the subject of this study. The university students are from Generation Z and are digital natives (Hameed and Mathur, 2020), and unlike other learners, their generational characteristics indicate that their familiarity with online learning and digital devices/environments, the level of digital processing, and the availability of information online are high. This can be attributed to having a lot of influence due to their capabilities in handling and dealing with the problems of online learning (Yu, 2020).…”

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confidence: 99%

Paradigm model of online learning experience during COVID-19 crisis in higher education

Huang

Yoon

2023

Front. Educ.

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The study presents qualitative research on university students' online learning experience process at the higher education level. It used a grounded theory through semi-structured in-depth interviews with 25 university students for framing and structuring the paradigm model of university students' online learning experiences. A paradigm model illustrating this developmental process is presented, which includes the casual and contextual conditions that caused and evolved the central phenomenon for their online learning, the strategies used by the students to overcome external/internal disturbances in continuing their learning process, the conditions that helped/hindered those strategies, and the consequences. Finally, the following meaning units were discovered through the preceding paradigm model. The students started learning with a negative impression of unfamiliar learning methods such as online learning, but over time, they improved their self-management abilities and gained a broader understanding of self-discipline. In the midst of this, competence in digital literacy according to generational differences was also discovered as one of the factors affecting learning, forming a virtual community, and increasing personal learning through online interaction. Finally, the implications of the overall learning ecology for the future role of online learning were also considered. Based on this analysis of students' online learning experiences, the direction for online learning was suggested.

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Generation Z in India: Digital Natives and Makers of Change

Cited by 20 publications

References 2 publications

Exploring India’s Generation Z perspective on AI enabled internet banking services

Exploring India’s Generation Z perspective on AI enabled internet banking services

Exploring the factors influencing adoption of health-care wearables among generation Z consumers in India

Paradigm model of online learning experience during COVID-19 crisis in higher education

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