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This paper explores how the blockchain food traceability system (BFTS) affects consumers' affective brand commitment and subsequent willingness to pay premium prices.

From February 11 to May 23, 2023, this study collected data from 236 Chinese customers, who had purchased blockchain-traced food in Jingdong Mall within the past three months. Structural equation modelling was used to analyse the data.

The main findings were as follows: (1) BFTS information transparency, information immutability and product diagnosticity are significant predictors of consumer-perceived trustworthiness; BFTS information transparency, product diagnosticity and product safety are significant predictors of consumer-perceived informativeness, (2) Perceived trustworthiness and perceived informativeness build consumers' affective brand commitment, (3) Affective brand commitment affects willingness to pay premiums and (4) Health consciousness positively moderates the relationship between consumers' affective brand commitment and willingness to pay premiums.

This paper complements the research on consumer behaviour in the BFTS, and the research results provide important enlightenment for guiding food enterprises to formulate reasonable and perfect marketing strategies of blockchain-traced food.

Fresh vegetables contain advantageous phytochemical components, making them one of the most significant sources of nutrition. The threat of harmful bacteria still exists because these vegetables are not heated in restaurants before being consumed. Therefore, this study aimed to evaluate the microbial quality of fresh vegetables in restaurants of different levels.

A total of 499 fresh vegetable samples (from sandwiches and fresh-cut vegetable salads) were collected from 3 different types of food service establishment: 201 from international restaurants (IRs), 210 from national restaurants (NRs), and 88 from cafeterias (CAs). The samples were prepared and inoculated on specific growth media. The aerobic mesophilic bacteria (AMB) Campylobacter spp., Staphylococcus aureus (S. aureus), Enterobacteriaceae, Escherichia coli (E. coli) and yeast and molds were counted, and Listeria monocytogenes, Salmonella spp. and Escherichia coli O157 were detected using specialized medium.

High counts of S. aureus, above 3 log cfu/g, suggested that 71.5% of samples collected from NRs and 77.3% from CA were not accepted, whereas 81.6% of samples collected from IRs were accepted. The low population of E. coli, less than 2 log cfu/g, suggested that 99.0, 97 and 92.0 % of samples collected from IRs, NRs and CA, respectively, were accepted. Listeria monocytogenes and Escherichia coli O157 were absent from every sample. One sample was positive for Salmonella spp. in each of the NR and CA sample groups.

RIs adhere to health and hygiene standards better than NRs and CAs, according to the findings of vegetable contamination tests.

The study endeavors to explore whether the financialization of agricultural commodities, traditionally viewed as a catalyst for price volatility, has any repercussions on food security in BRICS economies.

The empirical analysis employs the examination of three agricultural commodities, namely wheat, maize and soybean. Utilizing data from the Chicago Board of Trade on futures trading for these commodities, we focus on parameters such as annual trading volume, annual open interest contracts and the ratio of annual trading volume to annual open interest contracts. The study spans the period 2000–2021, encompassing pre- and post-financial crisis analyses and specifically explores the BRICS countries namely the Brazil, Russia, India, China and South Africa. To scrutinize the connections between financialization indicators and food security measures, the analysis employs econometric techniques such as panel data regression analysis and a moderating effects model.

The results indicate that the financialization of agricultural products contributes to the heightened food price volatility and has adverse effects on food security in emerging economies. Furthermore, the study reveals that the impact of the financialization of agricultural commodities on food security was more pronounced in emerging nations after the global financial crisis of 2008 compared to the pre-crisis period.

This paper seeks to draw increased attention to the financialization of agricultural commodities by presenting empirical evidence of its potential impact on food security in BRICS economies. The findings serve as a valuable guide for policymakers, offering insights to help them safeguard the security and availability of the world’s food supply.

Very few studies have explored the effect of financialization of agricultural commodities on food security covering a sample of developing economies, with sample period from 2000 to 2021, especially at the individual agriculture commodity level. Understanding the evolving effects of financialization is further improved by comparing pre and post-financial crisis times.

This study aims to verify the impact of the supply shock (fall in harvested output) and demand shock (fall in household income) due to the pandemic on the consumption of necessities and household savings of tilapia's smallholder farmer.

The researchers randomly chose 144 households as research samples using the proportional random sampling technique in Padang Jaya District, North Bengkulu Regency. Researchers collected data on household income, farm losses, household consumption for basic needs, labor demand, use of production inputs, the amount of output sold and saving both during and before the pandemic. The data were collected from the sample using a questionnaire prepared by the researchers. This study used a simultaneous equations system for arranging tilapia's smallholder farmer household economic model.

This study verified that the demand shock phenomenon makes households more severe than the supply shock phenomenon. The demand shock phenomenon made worse-off tilapia smallholder farmers because it caused their household savings to drop during the pandemic. The fall in savings will disrupt the stability of consumption of household necessities (health, food, education and clothing) in the future.

The main contribution of this study was providing empirical evidence about the impact of the demand and supply shock of COVID-19 on the most vulnerable entities in the Indonesian freshwater aquaculture industry, namely, smallholder farmer households of freshwater aquaculture fish.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2022-0554.

This study investigates how income from non-farm activities affects households' consumption in two land holders' groups: households with insecure land holding and households with secure land holding.

Following an instrumental variable approach, this study analyzes data collected on a nationwide sample of 1,800 households in rural Burkina Faso.

For insecure land holders' group, this study finds that income from non-farm activities has a positive effect on household consumption per capita. Moreover, the share of household food consumption is negatively associated with non-farm income in this group. For secure land holders' group, the results show that non-farm income has only a negative effect on the share of their food consumption.

The study highlights the livelihood sustaining role of non-farm activities for rural households. Unlike previous studies, the results show that non-farm income is particularly important for land tenure insecure households facing risk of losing agricultural income.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0423

To study the key determinants of chronically high inflation in Iran.

Relying on annual data from 1978 to 2019, the authors employ an Auto-Regressive Distributed Lag (ARDL) model and Error Correction Model (ECM) to study the inflationary effects of monetary and fiscal policies as well as exchange rate swings and sanctions intensification.

The authors find that increase in money supply, depreciation of nominal exchange rate, increase in fiscal deficit and intensification of sanctions are among the key drivers of inflation in Iran. Their impact is profound in the long run, but in the short run only money supply and currency depreciation are significant. Also, when exploring the inflation in different components of Consumer Price Index (CPI), we find robust long- and short-run effects from money supply and exchange rate, while the effects of fiscal deficit and sanctions vary across different components.

The authors contribute to the literature by setting apart the long-vs short-run effects of key variables on inflation in Iran. The authors also employ improved measures of fiscal deficit and sanctions that are shown to be of significance in the long run. Lastly, the authors go beyond the aggregate index and examine the variations in different CPI components.

The present randomised controlled trial aimed to assess the effects of 8-week supplementation of n-3 long-chain polyunsaturated fatty acids (n-3 LCPUFA) on the n-3 index and performance of professional male football players.

A total of 27 professional male football players were randomly assigned into 2 groups: placebo (n = 14) and n-3 LCPUFA (n = 13). n-3 LCPUFA supplements containing 1.5 g eicosapentaenoic acid (EPA) and 600 mg docosahexaenoic acid (DHA) were administered as 6 capsules (four in the morning and two in the evening, 30 min after a meal). Anthropometry, body composition, dried-blood spot n-3 LCPUFA levels, exercise performance and dietary intake of football players were measured at week 0, week 4 and week 8.

n-3 LCPUFA supplementation improved blood levels of EPA and DHA levels, omega-3 index vs placebo (p time*group = 0.010, 0.041 and 0.018, respectively). n-3 LCPUFA supplemented group had significantly higher aerobic capacity than placebo participants, at week 8 (p group = 0.021).

This study shows the effect of n-3 LCPUFA supplementation in Malaysian professional male football players involved in team sports having low dietary intakes of n-3 LCPUFA.

Based on goal-directed behavior, this study explores the direct effects and the interaction between health and environmental concerns as the main drivers of organic food consumption. Consumer's economic problems are proposed as the main barrier for such behavior from a cost-benefit approach theoretically grounded on decision theory.

Data were collected using the 26,669 European 95.1 wave participants of the Eurobarometer survey. Logistic regression estimates are used to analyze the hypotheses postulated.

The results indicated the significant association of both health and environmental concerns with organic food consumption, as well as the existence of an interactive effect between both consumer goals. As a novel finding, health concern weakens the influence of environmental concern on organic food consumption. Consumer's economic problems harms the expansion of organic food consumption as well as other socio-demographic factors included as control variables.

For the first time, this research explores the interaction effect between health and environmental concerns as antecedents of organic food consumption. The study argues that these consumer goals present differential features in terms of individual importance, feasibility, abstractness and outcome demonstrability, resulting in a prevalence of health over environmental goals for some consumers. The research provides not only novel insights for understanding organic food consumption but also provides additional evidence for practitioners to develop sales strategies and policymakers to formulate policies to guide the promotion of this so desired example of sustainable consumption.

The purpose of this paper is to explore the significance impact of air quality as a contributing factor on residential property rents by applying geo-informatics to economic issues. Since air pollution poses a severe health threat, city residents should have a right to know about the (invisible) hazards they are exposed to.

Within spatial-temporal modeling of air pollutants in Berlin, Germany, three interpolation techniques are tested. The most suitable one is selected to create seasonal maps for 2018 and 2021 with pollution concentrations for particulate matter values and nitrogen dioxide for each 1,000 m² cell within the administrative boundaries. Based on the evaluated pollution particulate matter values, which are used as additional variables for semi-parametric regressions the impact of the air quality on rents is estimated.

The findings reveal a compelling association between air quality and the economic aspect of the residential real estate market, with noteworthy implications for both tenants and property investors. The relationship between air pollution variables and rents is statistically significant. However, there is only a “willingness-to- pay” for low particulate matter values, but not for nitrogen dioxide concentrations. With good air quality, residents in Berlin are willing to pay a higher rent (3%).

These results suggest that a “marginal willingness-to-pay” occurs in a German city. The research underscores the multifaceted impact of air quality on the residential rental market in Berlin. The evidence supports the notion that a cleaner environment not only benefits human health and the planet but also contributes significantly to the economic bottom line of property investors.

The paper has a unique data engineering approach. It collects spatiotemporal data from network of state-certified measuring sites to create an index of air pollution. This spatial information is merged with residential listings. Afterward non-linear regression models are estimated.

Although digital platforms have become important to organizations and society, little is known about how platforms evolve over time. This is particularly true for early-stage platforms provided by entrepreneurial firms competing in nascent markets. This study aims to investigate the relationship between a platform provider's mission and the evolution of its digital platform.

This study conducted an exploratory, multi-case study of startups in the emerging health/fitness wearables market over the period 2007 to 2016.

This study emerged two organizational mission constructs – consistency and specificity – and two evolutionary dynamics of digital platforms – unity and evolution rate. It also considered unity and evolution rate in terms of features created by the platform provider and features connected by external parties. This study found relationships between aspects of mission consistency and platform unity and identified relationships between aspects of mission specificity and platform evolution rates.

This study formalized findings into a set of theoretical propositions, thereby enriching the understanding of the relationship between organizational mission and digital platform evolution in nascent markets. This study provides new constructs and relationships that can be tested and refined in future research.