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Article
Publication date: 1 March 2001

(Annie) Yan Zheng and Brian H. Kleiner

Discusses the loss of job security and the expecation that employees will undertake a number of jobs in their career have led to a loss of employee loyalty. Shows career…

3352

Abstract

Discusses the loss of job security and the expecation that employees will undertake a number of jobs in their career have led to a loss of employee loyalty. Shows career development as a formal approach by organizations to ensure the right staff are available for their needs and ensures employees do not have obsolete skills. Suggests that the employee is responsible for career planning and the organization is responsible for career management. Considers strategies for future career development, assistance companies can give and the effects of change on employees.

Details

Management Research News, vol. 24 no. 3/4
Type: Research Article
ISSN: 0140-9174

Keywords

Available. Open Access. Open Access
Article
Publication date: 15 December 2022

Neo Ligaraba, Brighton Nyagadza, Danie Dӧrfling and Qinisoliyakhulula Mhlengi Zulu

This study investigates the factors influencing re-usage intention of online and mobile grocery shopping among young adult consumers in South Africa.

7668

Abstract

Purpose

This study investigates the factors influencing re-usage intention of online and mobile grocery shopping among young adult consumers in South Africa.

Design/methodology/approach

Data were collected from selected young adult participants using a stratified probability sampling strategy. Smart PLS was used to analyse the data.

Findings

The findings of the study indicate that perceived usefulness (PU), peer review (PR) and attitude (ATT) positively influence continuance intention (CI).

Research limitations/implications

In line with the available literature, there are few prior post-adoption studies that delineate the influence of individual characteristics on digital commerce usage activities. There is high mobile penetration as a result of positive digital commerce and mobile application usage and adoption, creating the need to investigate and better understand the drivers behind, not just adoption and usage, but continued use of digital commerce platforms and applications. Since the sample size is relatively small, further future research studies can test the same model with bigger sample sizes to assess generalisability of the results in different locations.

Practical implications

This study adds to the current literature by concentrating on the extent to which systems and marketing elements influence young adult customers' intention to continue using online and mobile grocery shopping platforms in South Africa.

Originality/value

The study adds value from a theoretical standpoint, contributing to the antecedent factors of the technology acceptance model (TAM), theory of reasoned action (TRA) and stimulus-organism-response (S-O-R) model and giving marketing academics insights into what aspects drive re-use of online and mobile grocery shopping and on what should be the focus.

Details

Arab Gulf Journal of Scientific Research, vol. 41 no. 3
Type: Research Article
ISSN: 1985-9899

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Article
Publication date: 25 December 2023

Hongying Zhao and Christian Wagner

The purpose of this paper is to examine how different types of user experience in TikTok impact purchase intention via commitment to the influencer and commitment to the platform…

3772

Abstract

Purpose

The purpose of this paper is to examine how different types of user experience in TikTok impact purchase intention via commitment to the influencer and commitment to the platform, with customer type included to determine moderating effects. Three types of user experience are considered: information experience, entertainment experience and parasocial-relationship-based experience.

Design/methodology/approach

This study collected 458 valid questionnaires from TikTok users, employing the structural equation modeling approach to examine the proposed research model.

Findings

Information experience, entertainment experience and parasocial-relationship-based experience are found to critically stimulate user commitment to the influencer and commitment to the platform, in turn driving TikTok-based purchase intention. Tests incorporating customer type reveal that commitment to the influencer more strongly influences the purchase intention of repeat customers, with commitment to the platform more likely to stimulate purchase intention among potential customers.

Research limitations/implications

On a theoretical level, the paper is among the first to examine TikTok-based user purchase intention with customer type as a moderator. On a practical level, the results can guide marketers to effectively promote products using TikTok and inspire TikTok managers to develop customized strategies to stimulate initial and repeat sales.

Originality/value

TikTok is moving to the stage of commercialization and monetization by introducing e-commerce features. Although this move should cultivate particularly fertile ground for companies to sell products, TikTok user purchase behavior has yet to receive sufficient research attention, with little currently known about their purchase motivations. The current study uncovers the significant antecedents of users' purchase intention through TikTok, and further reveals the motivational differences among potential and repeat customers.

Details

Internet Research, vol. 34 no. 6
Type: Research Article
ISSN: 1066-2243

Keywords

Available. Content available
Book part
Publication date: 27 May 2021

Nolwenn Bühler

Free Access. Free Access

Abstract

Details

When Reproduction Meets Ageing
Type: Book
ISBN: 978-1-83909-747-8

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Article
Publication date: 7 March 2023

Annie Singla and Rajat Agrawal

This study aims to propose iStage, i.e. an intelligent hybrid deep learning (DL)-based framework to determine the stage of the disaster to make the right decisions at the right…

66

Abstract

Purpose

This study aims to propose iStage, i.e. an intelligent hybrid deep learning (DL)-based framework to determine the stage of the disaster to make the right decisions at the right time.

Design/methodology/approach

iStage acquires data from the Twitter platform and identifies the social media message as pre, during, post-disaster or irrelevant. To demonstrate the effectiveness of iStage, it is applied on cyclonic and COVID-19 disasters. The considered disaster data sets are cyclone Fani, cyclone Titli, cyclone Amphan, cyclone Nisarga and COVID-19.

Findings

The experimental results demonstrate that the iStage outperforms Long Short-Term Memory Network and Convolutional Neural Network models. The proposed approach returns the best possible solution among existing research studies considering different evaluation metrics – accuracy, precision, recall, f-score, the area under receiver operating characteristic curve and the area under precision-recall curve.

Originality/value

iStage is built using the hybrid architecture of DL models. It is effective in decision-making. The research study helps coordinate disaster activities in a more targeted and timely manner.

Details

Global Knowledge, Memory and Communication, vol. 74 no. 1/2
Type: Research Article
ISSN: 2514-9342

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Article
Publication date: 6 July 2022

Hongying Zhao and Christian Wagner

Although the short-video-based application TikTok and its AI-enhanced technology have achieved enormous success and reshaped the user experience, few studies have focused on the…

7218

Abstract

Purpose

Although the short-video-based application TikTok and its AI-enhanced technology have achieved enormous success and reshaped the user experience, few studies have focused on the user experience in the TikTok context. This study adopts a technology affordance theory lens to identify the main mechanisms contributing to the user experience in the short-video platform context while including user experience level and video length as moderating effects.

Design/methodology/approach

This study collected 401 valid questionnaires from TikTok users and used the structural equation modeling approach to examine the proposed research model.

Findings

Three technology affordances (perceived effortlessness, perceived recommendation accuracy, and perceived recommendation serendipity) contribute to TikTok users' optimal flow experience. Multi-group analysis results further indicate that individuals react differently to the same stimuli as their experience level increases. Finally, video length critically influences the impact of technology affordances on users' cognitive responses.

Originality/value

As a burgeoning industry, the mechanisms enabling short-video platforms to engage users remain unclear to practitioners and researchers. Thus, this study's technology affordance lens provides necessary insights into how TikTok's innovative and advanced technologies contribute to user flow experience from a context-dependent perspective. Furthermore, given that most existing studies have neglected possible variations in user preferences when investigating the effects of technology, this study enriches the existing literature by employing user experience level and video length as moderators.

Details

Internet Research, vol. 33 no. 2
Type: Research Article
ISSN: 1066-2243

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