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.
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
Keywords
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…
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
Keywords
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…
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.