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Article
Publication date: 21 November 2023

Keshan (Sara) Wei and Wanyu Xi

With the development of social media, live-streaming has become an indispensable marketing activity for firms, especially in China. From the initial cooperation with the…

Abstract

Purpose

With the development of social media, live-streaming has become an indispensable marketing activity for firms, especially in China. From the initial cooperation with the influencer, firms begin to create their own live-streaming channel, namely, the brands' self-built live-streaming. The purpose of this study is to explore the process of consumer engagement in the brands' self-built live-streaming.

Design/methodology/approach

This research comprises two experimental studies. Study 1 examined the effect of streamer types (CEO vs. celebrity) on consumer engagement. Study 2 investigated the moderating effects of product innovativeness.

Findings

Results showed that CEO streamers could enhance consumer engagement by increasing consumers' cognitive trust, and celebrity streamers could enhance consumer engagement by increasing consumers' emotional trust. In addition, consumer engagement was higher for really new products (vs. incremental new products) in CEO streamers' (vs. celebrity streamers') live-streaming.

Originality/value

Compared with previous studies that focused on streamers based on the influencer marketing, this study expands the scope of research on the live-streaming ecosystem by exploring the effect of different streamer types on the brands' self-built live-streaming. By investigating consumer engagement, this study gives implications for the sustainable traffic issue in live-streaming e-commerce.

Details

Journal of Research in Interactive Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7122

Keywords

Article
Publication date: 4 November 2022

Alan J. McNamara, Sara Shirowzhan and Samad M.E. Sepasgozar

This paper aims to identify the relevant contributing constructs of readiness for the implementation of intelligent contracts (iContracts) in the construction industry. This study…

Abstract

Purpose

This paper aims to identify the relevant contributing constructs of readiness for the implementation of intelligent contracts (iContracts) in the construction industry. This study investigates the relationship between the personality dimensions of technology readiness index (TRI) and the system specific factors of technology acceptance model (TAM) within the context of iContracts.

Design/methodology/approach

Drawing insights from the extant literature and the author's previous qualitative investigations into iContract readiness constructs, a quantitative approach is used to operationalise the constructs by offering relevant statements to be measured and validated through a multiple-item scale against the users intent to accept the future iContract technology.

Findings

This study confirms and validates the relationship of the proposed iContract readiness index (iCRI) statements against the established TAM factors by offering 18 new constructs influencing technology readiness of the iContract technology. This study proves 9 of the 12 hypotheses highlighting key factors to be addressed for the successful development of the iContract technology.

Practical implications

This paper contributes to the body of knowledge by proposing a novel iCRI that informs an iContract technology readiness acceptance model (iCTRAM) for a trending technology. The iCTRAM can guide developers in producing an appropriate iContract solution and assess the readiness of users and organisations for the successful adoption of the iContract concept.

Originality/value

This study offers a unique theoretical framework, in an embryonic field, for predicting the success of iContract implementation within construction organisations. This study combines the established studies of TRI and TAM in producing a predictive iContract readiness assessment tool.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 10 January 2024

Sara El-Ateif, Ali Idri and José Luis Fernández-Alemán

COVID-19 continues to spread, and cause increasing deaths. Physicians diagnose COVID-19 using not only real-time polymerase chain reaction but also the computed tomography (CT…

Abstract

Purpose

COVID-19 continues to spread, and cause increasing deaths. Physicians diagnose COVID-19 using not only real-time polymerase chain reaction but also the computed tomography (CT) and chest x-ray (CXR) modalities, depending on the stage of infection. However, with so many patients and so few doctors, it has become difficult to keep abreast of the disease. Deep learning models have been developed in order to assist in this respect, and vision transformers are currently state-of-the-art methods, but most techniques currently focus only on one modality (CXR).

Design/methodology/approach

This work aims to leverage the benefits of both CT and CXR to improve COVID-19 diagnosis. This paper studies the differences between using convolutional MobileNetV2, ViT DeiT and Swin Transformer models when training from scratch and pretraining on the MedNIST medical dataset rather than the ImageNet dataset of natural images. The comparison is made by reporting six performance metrics, the Scott–Knott Effect Size Difference, Wilcoxon statistical test and the Borda Count method. We also use the Grad-CAM algorithm to study the model's interpretability. Finally, the model's robustness is tested by evaluating it on Gaussian noised images.

Findings

Although pretrained MobileNetV2 was the best model in terms of performance, the best model in terms of performance, interpretability, and robustness to noise is the trained from scratch Swin Transformer using the CXR (accuracy = 93.21 per cent) and CT (accuracy = 94.14 per cent) modalities.

Originality/value

Models compared are pretrained on MedNIST and leverage both the CT and CXR modalities.

Details

Data Technologies and Applications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9288

Keywords

Open Access
Article
Publication date: 15 June 2023

Fredrik Sunnemark, Wilma Lundqvist Westin, Tamy Al Saad and Per Assmo

This study aims to explore barriers and facilitators for knowledge transfer and learning processes by examining a cross-departmental collaborative project in the municipal…

Abstract

Purpose

This study aims to explore barriers and facilitators for knowledge transfer and learning processes by examining a cross-departmental collaborative project in the municipal organization. It is based on a R&D collaboration between University West and a Swedish municipality.

Design/methodology/approach

To explore the barriers and facilitators, the data collection was made through observation of the project implementation process, as well as 20 interviews with public servants and external actors. To conduct a systematic qualitative-oriented content analysis, the article constructs and applies a theoretical analytical framework consisting of different factors influencing knowledge transfer and learning processes within a municipal organizational setting.

Findings

This study explores the facilitators and barriers to knowledge transfer and learning processes, specifically focusing on strategic communication, individual roles, common goals, time pressure, group learning, trust and relationships and absorptive capability. Lack of communication affected the group learning process, while the close relation between time pressure, group learning and trust in colleagues is also pointed out as crucial areas. Trust developed through dialogue efforts helped overcome project fatigue. Coaching with a human rights-based approach improved organizational absorptive capabilities.

Originality/value

The study gives important insights into organizational learning within a municipality in Sweden for the successful implementation of collaborative projects. Knowledge must be transferred for the organization to learn to develop and tackle future challenges and its complex responsibilities. The theoretical analytical framework provided in this article has proven to be effective and is therefore transferable to other organizations in both the public and private sectors.

Details

The Learning Organization, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-6474

Keywords

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