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Article
Publication date: 1 November 2023

Kaimeng Zhang, Zhongxin Ni and Zhouyan Lu

This research paper aims to investigate the critical factors influencing the live commerce industry and their implications for Key Opinion Leaders (KOLs) and brands.

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Abstract

Purpose

This research paper aims to investigate the critical factors influencing the live commerce industry and their implications for Key Opinion Leaders (KOLs) and brands.

Design/methodology/approach

The study comprehensively reviews previous research, develops relevant hypotheses and utilizes personal information from 66 anchors, along with data from 23,000 product links obtained from the backends of live commerce platforms.

Findings

The study emphasizes that KOLs with higher traffic significantly influence Gross Merchandise Volume (GMV). Intriguingly, KOLs with lower traffic levels exhibit a more pronounced effect on Return on Investment (ROI), highlighting their significance in driving profitability. Furthermore, the study explores the correlation between KOL hashtags and GMV/ROI and the intricate relationship between product types and KOL hashtags.

Practical implications

The findings significantly enhance the understanding of live shopping behavior and provide valuable insights for business management strategies. Practitioners can leverage this empirical evidence to make informed decisions, utilizing extensive data samples of KOLs and brands.

Originality/value

This research contributes unique insights into the live-streaming commerce industry using backend data from Live Streaming E-commerce platforms. The findings are more accurate based on market data than previous studies that relied on platform reviews or questionnaires. Additionally, this paper investigates the impact of KOLs on the performance of live e-commerce from three perspectives: GMV, ROI and hot-selling products.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 36 no. 4
Type: Research Article
ISSN: 1355-5855

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Article
Publication date: 6 September 2022

Kaimeng Wang and Te Tang

This paper aims to present a new approach for robot programming by demonstration, which generates robot programs by tracking 6 dimensional (6D) pose of the demonstrator’s hand…

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Abstract

Purpose

This paper aims to present a new approach for robot programming by demonstration, which generates robot programs by tracking 6 dimensional (6D) pose of the demonstrator’s hand using a single red green blue (RGB) camera without requiring any additional sensors.

Design/methodology/approach

The proposed method learns robot grasps and trajectories directly from a single human demonstration by tracking the movements of both human hands and objects. To recover the 6D pose of an object from a single RGB image, a deep learning–based method is used to detect the keypoints of the object first and then solve a perspective-n-point problem. This method is first extended to estimate the 6D pose of the nonrigid hand by separating fingers into multiple rigid bones linked with hand joints. The accurate robot grasp can be generated according to the relative positions between hands and objects in the 2 dimensional space. Robot end-effector trajectories are generated from hand movements and then refined by objects’ start and end positions.

Findings

Experiments are conducted on a FANUC LR Mate 200iD robot to verify the proposed approach. The results show the feasibility of generating robot programs by observing human demonstration once using a single RGB camera.

Originality/value

The proposed approach provides an efficient and low-cost robot programming method with a single RGB camera. A new 6D hand pose estimation approach, which is used to generate robot grasps and trajectories, is developed.

Details

Industrial Robot: the international journal of robotics research and application, vol. 50 no. 2
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 11 November 2013

Lu Weisheng, Anita M.M. Liu, Wang Hongdi and Wu Zhongbing

The purpose of this paper is to attempt to shed light on procurement innovation by examining two state-of-the-art procurement systems in China – an agent-construction system (ACS…

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Abstract

Purpose

The purpose of this paper is to attempt to shed light on procurement innovation by examining two state-of-the-art procurement systems in China – an agent-construction system (ACS or in Chinese Dai Jian Zhi) and public-private partnership (PPP), with special consideration given to the systems’ particular political, economic, social, technological, environmental, and legal (PESTEL) background.

Design/methodology/approach

The paper does so by using content analyses, semi-structured interviews, and a “PESTEL-Procurement Innovation” framework.

Findings

It is found that PPP has not been as popular as expected, while the ACS, which is little known to the international construction management community, is widespread in China. The study of ACS and PPP further reveals that congruence between a procurement system and its external PESTEL conditions is essential for procurement innovation.

Research limitations/implications

The “PESTEL-Procurement Innovation” framework could be a useful tool for devising procurement innovation; although there are many questions yet to be answered by further research.

Practical implications

The paper provides useful insights into procurement innovation, particularly when governments worldwide are searching for innovative procurement systems to help deliver public projects and services.

Originality/value

The paper possesses originality in that it tackles procurement innovation, an area that is under researched in construction management. It exhorts the re-connection between a procurement system and its external PESTEL conditions for devising bona fide procurement innovations.

Details

Engineering, Construction and Architectural Management, vol. 20 no. 6
Type: Research Article
ISSN: 0969-9988

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