scholarly journals Factors influencing Chinese consumer behavior when buying innovative food products

2009 ◽  
Vol 55 (No. 9) ◽  
pp. 436-445 ◽  
Author(s):  
R.B. Kim

This study conceptualizes a model of Chinese consumers’ purchase decision for the GM foods by empirically testing the interrelationship among the GM food purchase decision determinants with a multi-attribute model. The purpose of this study is to explore what underlying factors affect the Chinese consumer choice behavior for the GM food. A clear understanding of the determinants of consumers’ GM food choice may enable policy makers and marketers to build effective policies and marketing strategies and to establish market position of the GM food. The results show that consumers’ perceived concern toward the subjects such as limited information availability, environmental hazard as well as ethical issues of the GM food are strong indicators of consumers’ GM food purchase decision.

2010 ◽  
Vol 56 (No. 10) ◽  
pp. 449-459 ◽  
Author(s):  
R.B. Kim

This study illustrates that consumers' GM food purchase decision is determined by a set of correlated variables. The interrelationship among the GM food purchase decision determinants is examined conceptually and empirically with a multi-attribute model, describing this interrelationship. Consumers' attitudes toward subjects such as innovation, science & technology as well as their trust towards the government's regulatory system of food safety and GM food are strong indicators of the consumers' GM food purchase decision. Given the limited availability of GM foods in the market which leads to a lack of understanding and experience of GM foods, consumers' knowledge and their search for information on food label appear to be weaker determinants of the GM food purchase decision for consumers.


2013 ◽  
Vol 838-841 ◽  
pp. 3208-3211 ◽  
Author(s):  
Ying Wang ◽  
Jing Guo

This paper use the investigation data of Xi'an as the foundation, to examine consumer choice behavior of fine decoration residence. It analyzes the main factors which influence consumer choice behavior of fine decoration residence by using logit model. The results show that culture degree of consumer, understanding of fine decoration residence, willingness to pay as well as views on the quality of the decoration and style of fine decoration residence have a significant impact on consumer decisionmaking behavior in purchasing.


2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Teresa Del Giudice ◽  
Giovanni Cicia ◽  
Klaus G. Grunert ◽  
Athanasios K. Krystallis ◽  
Yanfeng Zhou ◽  
...  

China is one of the most dynamic regions in the world in terms of economic growth and development. Such development has inevitably influenced the structure and habits of Chinese society. Whilst the economic condition of the middle class and high-income segment have steadily improved, cultural changes are also under way: ancient Chinese traditions now include major elements from other cultures, most notably the West (Hsing, 2011). The above scenario is the background to this paper. A structured research-administered survey was developed to investigate the changes in the Chinese consumer food culture: 500 urban participants were randomly selected from six reference cities, covering geographically almost the whole country. This study aims not only to analyze the propensity of consumers to include food products from other countries in their ancient Chinese culinary culture, but also represents an initial attempt to perform a market segmentation of Chinese consumers according to their degree of cultural openness toward non-Chinese food, taking into account socio-demographic, cognitive and psychographic variables.


Author(s):  
Jackie Street ◽  
Annette Braunack-Mayer ◽  
Stacy Carter ◽  
Tam Ha ◽  
Xiaoqi Feng ◽  
...  

IntroductionLarge administrative datasets are now being used for secondary purposes across a wide range of public sector organisations, including in health and higher education. However, governance, regulation and policy surrounding the use of these datasets are at different stages of development in these sectors. Our aim was to explore similarities and differences in the use of administrative data between the health and higher education sectors to inform policy development. Objectives and ApproachWe investigated views on the use of administrative data in both the health and higher education sectors. We conducted 18 qualitative in-depth interviews with key stakeholders, to provide insight into the ethical, social and legal issues associated with the use of big data in these settings. The interviews were transcribed and thematically coded. ResultsParticipants indicated the rapid pace of technological change and large volume of potentially sensitive data collected raises governance, infrastructure and ethical issues in both settings. Common challenges include communication, staff capabilities, delays in access, multiple policies and governance committees, and technical and operational issues. In the health sector, there was clear understanding of the issues and governance structures to address these issues, whereas this understanding was more variable in the higher education sector. Trust in government (to use responsibly and store securely) was raised in the health sector but not in universities. Conclusion / ImplicationsUnderstanding and use of administrative data are at quite different levels of development in the higher education and health sectors. Higher education needs policy and ethical guidance and higher level governance and greater consultation across the sector. Both sectors would benefit from a national approach to data governance.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Katherine Huerne

Background: Direct-to-consumer genetic testing (DTC-GT) is a popular and fast-growing field within the healthcare industry. Consumers often pursue DTC-GT without a clear understanding of its epistemic and medical limitations. This report will present the current state of DTC-GT technology, and highlight the ethical, legal and social issues of DTC-GT. Methods: Quantitative methods such as systematic reviews were used to evaluate the field of DTC-GT. Experimental data was taken from randomized control trials and case studies of 23andMe. Qualitative methods such as newspaper articles and surveys were also used. Relevant policies and regulatory information were analyzed in the context of 23andMe. Broader ethical issues are analyzed from the social disability model and feminist ethics frameworks. Results: Several aspects of direct-to-consumer genetic testing are outlined: (i) regulatory and legal distinctions of DTC-GT that separate its use from conventional genetic testing, (ii) epistemic issues of the genetic testing process within the direct-to-consumer context, and (iii) ethical considerations of DTC-GT in regard to genetic health and genetic ancestry. Conclusion: This report does not take a position for or against the use of DTC-GT; rather, it highlights the key ethical issues often missed in the DTC-GT process. There is no perfect method for understanding genetic health and race. DTC-GT offer consumers the ease and power of taking genetic data ‘in their own hands’, at the cost of exacerbating geneticization and race essentialism. Until further work is done to address the epistemic, regulatory and legal issues, ethical implications of DTC-GT usage will continue to exist.


2021 ◽  
Author(s):  
Ruxian Wang

The growth of market size is crucially important to firms, although researchers often assume that market size is constant in assortment and pricing management. I develop a model that incorporates the market expansion effects into discrete consumer choice models and investigate various operations problems. Market size, measured by the number of people who are interested in the products from the same category, is largely influenced by firms’ operations strategy, and it also affects assortment planning and pricing decisions. Failure to account for market expansion effects may lead to substantial losses in demand estimation and operations management. Based on real data, this paper uses an alternating-optimization expectation-maximization method that separates the estimation of consumer choice behavior and market expansion effects to calibrate the new model. The end-to-end solution approach on modeling, operations, and estimation is readily applicable in real business.


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