Huajing Ying, Huanhuan Ji, Xiaoran Shi and Xinyue Wang
In the presence of coronavirus disease 2019 (COVID-19), due to the social distance restriction, consumers' regular consumption behaviors and patterns have been changing…
Abstract
Purpose
In the presence of coronavirus disease 2019 (COVID-19), due to the social distance restriction, consumers' regular consumption behaviors and patterns have been changing fundamentally. Thereafter, an innovative group buying model has emerged and developed explosively with a specific focus on consumer's location, known as community-based group buying (CGB). The purpose of this paper is to investigate the transfer mechanism of user's trust in dyadic contexts of social and commercial role-playing in the CGB program.
Design/methodology/approach
This study adopts an empirical research method, with an online and offline questionnaire survey, a total of 382 responses have been obtained. Then, both descriptive analysis and hierarchical regression analysis are conducted to explore the dual roles of group leader and its corresponding effects on consumers' trust (i.e. emotional trust and behavioral trust) and engagement actions (i.e. purchase and share) in the CGB program.
Findings
Results indicate that resident's trust and their perception of group leader's friend role can positively enhance their engagement actions in the CGB programs. Meanwhile, for the purpose of profit maximization, the group leader is more willing to play a friend role in transactions no matter whether the role conflict exists.
Originality/value
Research findings provide some managerial insights for CGB platform on the selection and training of group leaders and the incentive mechanism design.
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Keywords
Samuel Fosso Wamba, Maciel M. Queiroz, Samuel Roscoe, Wendy Phillips, Dharm Kapletia and Arash Azadegan
Xinyue Zhou, Zhilin Yang, Michael R. Hyman, Gang Li and Ziaul Haque Munim
Chao Yu, Haiying Li, Xinyue Xu and Qi Sun
During rush hours, many passengers find it difficult to board the first train due to the insufficient capacity of metro vehicles, namely, left behind phenomenon. In this paper, a…
Abstract
Purpose
During rush hours, many passengers find it difficult to board the first train due to the insufficient capacity of metro vehicles, namely, left behind phenomenon. In this paper, a data-driven approach is presented to estimate left-behind patterns using automatic fare collection (AFC) data and train timetable data.
Design/methodology/approach
First, a data preprocessing method is introduced to obtain the waiting time of passengers at the target station. Second, a hierarchical Bayesian (HB) model is proposed to describe the left behind phenomenon, in which the waiting time is expressed as a Gaussian mixture model. Then a sampling algorithm based on Markov Chain Monte Carlo (MCMC) is developed to estimate the parameters in the model. Third, a case of Beijing metro system is taken as an application of the proposed method.
Findings
The comparison result shows that the proposed method performs better in estimating left behind patterns than the existing Maximum Likelihood Estimation. Finally, three main reasons for left behind phenomenon are summarized to make relevant strategies for metro managers.
Originality/value
First, an HB model is constructed to describe the left behind phenomenon in a target station and in the target direction on the basis of AFC data and train timetable data. Second, a MCMC-based sampling method Metropolis–Hasting algorithm is proposed to estimate the model parameters and obtain the quantitative results of left behind patterns. Third, a case of Beijing metro is presented as an application to test the applicability and accuracy of the proposed method.
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Mohammad Enamul Hoque, Abdullah Al Mamun and Perengki Susanto
Global warming and climate change are significant barriers to food production due to rising temperatures and extreme weather events. Thus, some households have taken to producing…
Abstract
Purpose
Global warming and climate change are significant barriers to food production due to rising temperatures and extreme weather events. Thus, some households have taken to producing organic food on their rooftop gardens to mitigate the aforementioned challenges, which could improve the green environment and reduce carbon dioxide emissions. Given the emergence of this trend, this study aims to predict organic food production intention and behaviour within urban rooftop home gardens using an integrated model of the value-belief-norm (VBN) theory and theory of planned behaviour (TPB).
Design/methodology/approach
Study data were collected from 352 households in two major Bangladeshi cities and analysed through SEM-PLS for model assessment and prediction.
Findings
Resultantly, biospheric and egoistic values led to an improved ecological worldview (EP). The EP, awareness of consequences (ACs) and social norms (SNs) predicted personal norms (PNs). In addition, PNs and SNs forecasted the intention to produce organic food in urban-area rooftop gardens. Strong intentions could promote and predict the adoption of organic food production in rooftop gardens. Based on the study outcomes, PN partially mediated the relationship between SN and the intention to produce organic food. Furthermore, the value–behaviour nexus performed serial mediation through beliefs, norms and intentions.
Practical implications
In this vein, the VBN framework provided a comprehensive guideline to encourage the intention and behaviour of organic food production in urban-area rooftops. Education and public policies potentially leveraged public beliefs and norms to engage in climate-friendly activities.
Originality/value
Cultivating organic herbs and vegetables on rooftop reduces dependency on industrially produced food and fertilised crops, making it a sustainable food choice and climate-mitigating activity. Thus, this study focuses on rooftop organic food production as a lens to examine pro-environmental intentions and behaviours. In addition, past studies have not emphasised the mediating roles of environmental beliefs, PN and intentions between the value–pro-environmental behaviour nexus. Such paths could be interesting to observe and add value to the VBN model. This study investigated the mediating roles of environmental beliefs, PN and intentions between the value–pro-environmental behaviour nexus and the role of PN between SN and pro-environmental behavioural intention with VBN farmwork.
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Wei Liu, Xiyan Han, Xiuwei Cao and Zhifeng Gao
Due to ginger holds a special and indispensable place in Chinese cuisine, understanding consumers’ preferences for organic ginger is of significance, especially given the growing…
Abstract
Purpose
Due to ginger holds a special and indispensable place in Chinese cuisine, understanding consumers’ preferences for organic ginger is of significance, especially given the growing interest in organic food products and sustainable agriculture. This study thus examines Chinese consumers’ preference for fresh ginger and the sources of their preferences heterogeneity for organic ginger consumption.
Design/methodology/approach
The study is using choice experiment (CE) method and mixed logit (MXL) modeling with 1,312 valid samples. The participants are regular consumers who are 18 years old or above and had bought fresh ginger within the past 12 months.
Findings
The results show that consumers prefer organic product certification labeling ginger to conventional ginger, preferred to purchase ginger at wet markets to at supermarkets or online, and preferred either ginger with regional public brand or private brand to unbranded ginger. Results also indicate that age, education level, income, purchasing experience of organic and branded ginger, and cognition of ginger health benefits are the sources of heterogeneity in consumer preferences for organic ginger.
Originality/value
This study contributes to ginger growers, marketers and policy makers. This study tracks how consumers' preferences change under different attribute combinations, capture the complex preference structure of consumers, and help reveal the motivations behind consumers' preferences for organic ginger. These findings will be crucial for developing marketing strategies, promoting organic products, and meeting consumer needs.