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Monicah Mugambi, Robert Obuba
Pág. 81 - 88
AbstractMany internal and external factors influence consumer decision-making when it comes to the purchase and use of various products and services. The attributes of the product itself, the brand, and the container in which it is encased is the most im...
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?eljko Spasenic, Dejan Petrovic, Sladana Benkovic
Pág. 21 - 30
Research question: The study researches the key success factors of a shopping mall project (SM) from the perspective of creditors in Serbia. Motivation: In Serbia, the retail landscape has seen a continuous increase in the number of SMs over the recent y...
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Ichwan Ardiansyah, Diah Ayu Restuti Wulandari
Pág. 8 - 12
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Hesti Maria,Indah Wira Putri,Innocentius Bernarto,Yohana F. Cahya Palupi Meilani
Pág. 153 - 164
This study aims to determine factors attracting customers to a shopping mall, especially the potential customers to AlamSutera Mall. It was done in a quantitative manner, empirically testing a conceptual model consisting of convenience, tenant variants, ...
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Nikolay Kanev
Acoustic comfort in shopping malls is one of the aspects that influence the shopping environment. Making enjoyable and comfortable retail and public spaces is demanded when designing and managing properties. This paper focuses on the study of the public ...
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Jinjin Yan, Sisi Zlatanova, Jinwoo (Brian) Lee and Qingxiang Liu
With the growing complexity of indoor living environments, people have an increasing demand for indoor navigation. Currently, navigation path options in indoor are monotonous as existing navigation systems commonly offer single-source shortest-distance o...
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Jin Zhu, Dayu Cheng, Weiwei Zhang, Ci Song, Jie Chen and Tao Pei
People spend more than 80% of their time in indoor spaces, such as shopping malls and office buildings. Indoor trajectories collected by indoor positioning devices, such as WiFi and Bluetooth devices, can reflect human movement behaviors in indoor spaces...
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Dayu Cheng, Guo Yue, Tao Pei and Mingbo Wu
Indoor positioning data reflects human mobility in indoor spaces. Revealing patterns of indoor trajectories may help us understand human indoor mobility. Clustering methods, which are based on the measurement of similarity between trajectories, are impor...
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Haiyang Jiang, Mingshu He, Yuanyuan Xi and Jianqiu Zeng
Machine learning (ML)-based methods are increasingly used in different fields of business to improve the quality and efficiency of services. The increasing amount of data and the development of artificial intelligence algorithms have improved the service...
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Nasim Alnuman and Mhd Ziad Altaweel
Noise in shopping centers and restaurants can reduce intelligibility and affect the comfort of the employees working for long periods in such environments. In this study, the interior acoustics of a shopping mall are studied by measuring the reverberatio...
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