scholarly journals How Does China’s New Consumption Era Reshape Residents’ Shopping Behaviors from the Perspective of Community in Hohhot, China

2021 ◽  
Vol 13 (14) ◽  
pp. 7599
Author(s):  
Fangqu Niu ◽  
Fang Wang

In the new consumption era, the popularization and application of information technology has continuously enriched residents’ consumption channels, gradually reshaping their consumption concepts and shopping behaviors. In this paper, Hohhot is taken as a case study, using open-source big data and field survey data to theorize the characteristics and mechanism of residents’ shopping behaviors in different segments of consumers based on geography. First, communities were divided into five types according to their location and properties: main communities in urban areas (MCs), historical communities in urban areas (HCs), high-grade communities in the outskirts of the city (HGCs), mid-grade communities in urban peripheries (MGCs), and urban villages (UVs). On this basis, a structural equation model is used to explore the characteristics of residents’ shopping behaviors and their influencing mechanisms in the new consumption era. The results showed that: (1) The online shopping penetration rate of residents in UVs and HCs is lowest, and that of residents in HGC is highest. (2) The types of products purchased in online and offline shopping by different types of community show certain differences. (3) From the perspective of influencing mechanisms, residents’ characteristics directly affect their shopping behaviors and, indirectly (through the choice of community where they live and their consumption attitudes), their differences in shopping behaviors. Different properties of communities cannot directly affect residents’ shopping behaviors, but they can affect them indirectly by influencing consumption attitudes and then affect such behaviors. Typical consumption attitudes of the new era, such as shopping for luxuries and emerging consumption, have the most significant and direct influence on shopping behaviors, as well as an intermediate and variable influence.

Transport ◽  
2017 ◽  
Vol 32 (4) ◽  
pp. 348-357 ◽  
Author(s):  
Mariusz Wasiak ◽  
Marianna Jacyna ◽  
Konrad Lewczuk ◽  
Emilian Szczepański

The paper describes proecological solution dedicated for organizing logistics services in urban areas. Proposed solution is based on cross-docking processes combined with consolidation centres. Authors proposed new method of estimating economic and social benefits from implementing centrally managed cooperation of logistics operators using common city consolidation hubs. Developed mathematical model bases on Vehicle Routing Problem (VRP) with vehicles of different types, limited loading capacities and multiply depots characterized by limited throughput. Proposed approach was supported by case study of integration of distribution processes in Warsaw (Poland) performed by three medium-size logistics operators. The central management of distribution was investigated in variants assuming using existing warehouses and with new configuration of logistics network developed with using SIMMAG 3D tools. As it was proved for analysed case, total costs of distribution in the city after implementation of centrally managed distribution were reduced by 8.1% for variant with current depots and by 26.5% for variant with new logistics network, while emission of carbon monoxide (CO) was reduced respectively by 7.8 and 16.7%.


2020 ◽  
Vol 10 (1) ◽  
pp. 7
Author(s):  
Miguel R. Luaces ◽  
Jesús A. Fisteus ◽  
Luis Sánchez-Fernández ◽  
Mario Munoz-Organero ◽  
Jesús Balado ◽  
...  

Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain).


2017 ◽  
Vol 78 (5) ◽  
pp. 717-736 ◽  
Author(s):  
Samuel Green ◽  
Yanyun Yang

Bifactor models are commonly used to assess whether psychological and educational constructs underlie a set of measures. We consider empirical underidentification problems that are encountered when fitting particular types of bifactor models to certain types of data sets. The objective of the article was fourfold: (a) to allow readers to gain a better general understanding of issues surrounding empirical identification, (b) to offer insights into empirical underidentification with bifactor models, (c) to inform methodologists who explore bifactor models about empirical underidentification with these models, and (d) to propose strategies for structural equation model users to deal with underidentification problems that can emerge when applying bifactor models.


Author(s):  
Susana Bernardino ◽  
J. Freitas Santos

The objective of the present study is to examine the extent to which social ventures are able to increase the “smartness” of cities. To achieve this goal, we adopt a qualitative approach using a case study method to obtain valuable insights about different characteristics and strategies of Cais (a non-profit association dedicated to helping disadvantaged people in urban areas). Through our analysis of Cais's activities, we assess whether its social interventions match the dimensions proposed by Giffinger et al. (2007) to rank smart cities' performance; specifically, it has smart: economy, people, governance, mobility, environment, and living. The research shows that the action pursued comprises elements from all the above-mentioned dimensions. Further, the analysis reveals that Cais reinforces the smartness of the city in which it acts (in terms of attributes such as living, economy, people, and environment).


2019 ◽  
Vol IV (III) ◽  
pp. 71-79
Author(s):  
Adnan Ahmad ◽  
Muhammad Ilyas ◽  
Muhammad Nisar Khan

This study reviews the growth strategies and their effect on the efficiency and productivity of the microfinance sector of Pakistan. The sector needs to have adopted intensive growth strategy instead of extensive strategies of wide expansion in term of physical infrastructure and human resources, which had increased the financial sustainability risks for the credit constrain institutions. The sixdimension model of outreach used in this study also shows that the sector does not achieve the targets set forth for these micro finance institutes with respect to its active borrowers’ outreach. The sector has mainly focused the big cities and urban areas whereas the poverty levels are higher in rural areas. The government has also shown its interest by launching two different types of loan schemes. Among the three different types of institution, the microfinance banks dominate the sector.


2020 ◽  
Author(s):  
Andala Rama Putra Barusman ◽  
Evelin Putri Rulian ◽  
Susanto Susanto

Taking a case study of tourism as hospitality industry in Lampung Province in Indonesia, we analyze the antecedent of customer satisfaction and its impact on customer retention. Using Structural Equation Model (SEM), we find that customer relationship management has a significant impact on service quality, customer satisfaction and customer retention.


2021 ◽  
Vol 2 (4) ◽  
pp. 537-550
Author(s):  
Christina Catur Widayati ◽  
Sarton Sinambela ◽  
Magito Magito ◽  
Khilyatin Ikhsani

The purpose of this study is to find out the factors which affect on purchase decision of fake (non-genuine) Nike sports shoes. Data analysis generally confirms the structural relationship of all variables, namely price and country of origin on brand image and its impact on purchase decision for fake (non-genuine) Nike shoes. This research was conducted on Gold's Gym consumers in the city area of ​​West Jakarta with a sample size of 130 respondents. The data analysis method used in this study is the Component or Variance Based Structural Equation Model where the data processing used Partial Least Square (Smart-PLS) version 3.2.9. The results show that all hypotheses can be accepted, except for the third hypothesis, which indicates that the country of origin does not effect on purchase decision.


2021 ◽  
pp. 1133-1140 ◽  
Author(s):  
Susetyo Darmanto ◽  
Bukirom Bukirom

The objective of this study is to analyze the effect of entrepreneurial experience and social entrepreneurship orientation on social entrepreneurship performance. This survey research was conducted on waste bank entrepreneurship activists in the city of Semarang. Thirty-five respondents were taken using the accident sampling method. Partial Least Square Structural Equation Model (PLS-SEM) is used as an analysis technique. The results showed that entrepreneurial experience and social entrepreneurship orientation had a positive and significant effect on the performance of social entrepreneurship. The contribution of the concept of human capital and the concept of entrepreneurial orientation is needed in building social entrepreneurship. The Semarang government is requested to give more attention to developing waste banks due to their contribution to social, economic, and environmental.


2014 ◽  
Vol 12 (2) ◽  
pp. 161-183
Author(s):  
Arun Kumar Acharya

AbstractIn this paper, an attempt has been made to analyse how the violence and abuse against elderly migrants in Monterrey, Mexico affects their health. For this research, 257 elderly Mexican migrants were surveyed in the Metropolitan Area of Monterrey during 2012 through 2013. The study found that the majority of elderly people migrate to urban areas in search of a better economic opportunity. Once in the city, they are absorbed into the informal economic sectors. Results indicate that most of these elderly people suffer physical, sexual and psychological violence, as well as neglect and financial abuse from their employer, relatives, clients and pedestrians, which has an adverse effect on their health. Elderly migrants reported numerous health problems, where many of them were suffering from different types of injuries, stress and depression, among others. This paper concluded that violence suffered by elderly migrants has a significant impact on their health.


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