Purpose: This study explores the influence of the following factors on consumer adoption of blockchain food traceability (BFT): innovation-adoption characteristics, segmentation, expertise in food traceability, expertise in blockchain technology, food categorical preferences and perceived important features of BFT.Design/methodology/approach: The data was collected via an online questionnaire with 1,401 participants in New Zealand. Exploratory factor analysis, structural equation modelling and segmentation analysis were undertaken.Findings: Consumer adoption of blockchain food traceability was significantly influenced by two innovation-adoption characteristics – perceived incentives and perceived complexity, as well as their expertise in food traceability. Two consumer segments were identified: Conservatives (48%) and Pioneers (52%). Significant differences were found between these two segments in terms of gender, age, education, occupation, residential area and ethnicity. Consumers are more willing to use BFT for purchasing fresh, imported, staple and normal foods than for processed, domestic and upscale foods. Their perceived important specific features of BFT are product origin, food safety information, quality control, food safety information, hygienic condition and scarcity management.Originality/value: This study contributes knowledge to address the current knowledge gap regarding consumer adoption of blockchain food traceability by using a large sample set. It is also the first study to recognise consumer segments for BFT; to provide information about consumers' important socio-demographic characteristics, food categorical preferences and perceived important features towards BFT; and to explore the influences of consumers' innovation-adoption characteristics, expertise in food traceability and expertise in blockchain technology on their adoption of blockchain food traceability.

Purpose: This study explores impacts of innovation-adoption characteristics, food choice motives, segmentation and socio-demographics on consumer adoption of online-to-offline food delivery services (O2O-FDS) in a Western developed country – New Zealand – and an Asian developing country – China.Design/methodology/approach: An online survey of 1,185 consumers provides data that the authors analyse using factor analyses, structural equation modelling and cluster analysis.Findings: The following innovation-adoption characteristics and food choice motives have statistically significant effects on consumers' attitudes and/or purchase intentions towards O2O-FDS in the pooled sample and/or the samples of two countries: perceived incentive, perceived complexity, processed convenience, cheapness, taste appeal, safety-assured and purchase convenience. Three consumer segments are recognized: conservatives (26.6%), food-value seekers (40.8%) and pioneers (32.6%). Significant differences are found in marital status, age, household income, education level, household size, occupation, country and residential areas across the three segments.Originality/value: This is the first study to systematically understand significant influencing factors for the O2O-FDS adoption by using a sample set composed of both Eastern and Western consumers.

Purpose: The widespread dietary adoption of cultured meat could provide important benefits to animal welfare, the environment, food safety and security. This study examines consumer segmentation and consumer motives for choice of cultured meat in China.Design/methodology/approach: The data were collected by means of a web-based questionnaire (n = 608) distributed in the two cites of Shanghai and Chengdu. Factor analysis, cluster analysis and path analysis were employed for data analysis.Findings: Three consumer segments were identified with regard to the acceptance of cultured meat in China: Conservatives (25.7%), Acceptors (41.9%) and Pioneers (32.4%). Significant differences were recognised in age, household income, education and household size between the three consumer segments. The following meat choice motives (MCMs) have significant influences on Chinese participants’ attitudes and/or purchase intentions towards cultured meat: usually eat, environmental concern, societal concern, mood, purchase convenience and price.Originality/value: This is the first study to develop a factorial construct of MCMs based on a previous theoretical model of food choice motives (FCMs) in China. The study contributes understanding of choice motives for cultured meat in a non-Western setting, particularly in China - the country consuming the largest quantity of pork. Further, this is the first study to recognise segments that are directly based on consumer attitudes and purchase intentions towards cultured meat. The findings of this study will help global producers and policymakers to create effective promotion strategies and policies for this innovative product in developing countries, particularly in China.

The vast majority of farmers in the drylands are resource-poor smallholders, whose livelihoods depend heavily on their farming systems. Therefore, increasing the resilience of these smallholders is vital for their prosperity. This study quantified household resilience and identified livelihoods and their influence on resilience in the semiarid tropics of India by analysing 684 households. A resilience capacity index was devised based on the composition of household food and non-food expenditure, cash savings, and food and feed reserves. The index ranged from 8.4 reflecting highly resilient households with access to irrigation characteristics, to −3.7 for households with highly limited resilience and low household assets. The livelihoods were identified through multivariate analysis on selected socioeconomic and biophysical variables; households were heterogeneous in their livelihoods. Irrigated livestock and rainfed marginal types had the highest and lowest resilience capacity index with the mean score of 0.69 and −1.07, respectively. Finally, we quantified the influence of livelihood strategies on household resilience. Household resilience was strengthened by the possession of livestock, crop diversification and access to irrigation. Low resilience is predominantly caused by low household assets. The resilience capacity index and derived livelihood strategies helps to understand the complexity of household resilience, and will aid in targeting technology interventions for development.