Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (33)

Search Parameters:
Keywords = grocery industry

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
13 pages, 469 KiB  
Article
Voltametric Analysis of Ergosterol Isolated from Wild-Growing and Cultivated Edible Mushrooms from Serbia and Korea
by Svetlana Đogo Mračević, Jelena Mutić, Vesna Stanković and Slavica Ražić
Molecules 2025, 30(9), 2010; https://doi.org/10.3390/molecules30092010 - 30 Apr 2025
Viewed by 480
Abstract
Thanks to several components with health-promoting properties, mushrooms are recognized as a practical functional food and a valuable source of nutrients for the food industry. Ergosterol, the major sterol in edible mushrooms and a precursor of vitamin D2 with proven pharmacological activity and [...] Read more.
Thanks to several components with health-promoting properties, mushrooms are recognized as a practical functional food and a valuable source of nutrients for the food industry. Ergosterol, the major sterol in edible mushrooms and a precursor of vitamin D2 with proven pharmacological activity and nutritional value, has become a very important topic in chemical and medical research. The main objectives of this study were to determine the ergosterol content in different species of Serbian wild mushrooms and in commercial mushrooms from Korean and Serbian grocery stores using square-wave voltammetry, to compare the concentrations in different parts of white button mushrooms, and to determine a possible relationship between Zn, Cu and Fe and ergosterol contents. The ergosterol contents varied between 0.01 and 7.04 mg/g (dry mass) of the mushrooms and were generally higher in cultivated mushrooms than in wild mushrooms. In addition, the ergosterol concentration was higher in the stems than in the caps of the mushrooms examined. Iron, Zn and Cu contents varied between the mushroom species at 8.5–479.9, 13.1–149.7 and 1.62–93.03 mg/kg, respectively, and principal component analysis (PCA) extracted two factors explaining 79.14% of the total variance, suggesting a direct relationship between iron and ergosterol content. This is the first comprehensive study to analyze and evaluate ergosterol concentrations in edible mushrooms from Korea and Serbia. Full article
Show Figures

Graphical abstract

10 pages, 259 KiB  
Article
The Quantitation of EPA and DHA in Fish Oil Dietary Supplements Sold in the United States
by Joseph E. Hilton, William N. Setzer, Prabodh Satyal, Ambika Poudel, Sawyer Ashcroft and Rakesh Satyal
Dietetics 2024, 3(4), 609-618; https://doi.org/10.3390/dietetics3040041 - 16 Dec 2024
Viewed by 5253
Abstract
The dietary supplement industry is expanding, but it still remains far less regulated than the pharmaceutical industry, resulting in inconsistent quality control. Limited research has been performed in the U.S., particularly regarding the quantification of omega-3 fatty acids like eicosapentaenoic acid (EPA) and [...] Read more.
The dietary supplement industry is expanding, but it still remains far less regulated than the pharmaceutical industry, resulting in inconsistent quality control. Limited research has been performed in the U.S., particularly regarding the quantification of omega-3 fatty acids like eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). The aim of this study was to quantify the omega-3 fatty acid content in fish oil capsules and liquids purchased from major stores and a grocery chain and compare the results to their label claims. A total of 6 out of 15 were found to have EPA levels ±20% and 10 out of 15 were ±20% outside of the label claim for DHA. One product did not have a label claim for EPA and DHA, but did have a claim for total omega-3 content. These discrepancies indicate that consumers may unwittingly be consuming higher or lower quantities of omega-3 fatty acids than expected, potentially affecting their health outcomes. Full article
11 pages, 21341 KiB  
Opinion
Expanding Ground Vehicle Autonomy into Unstructured, Off-Road Environments: Dataset Challenges
by Stanton R. Price, Haley B. Land, Samantha S. Carley, Steven R. Price, Stephanie J. Price and Joshua R. Fairley
Appl. Sci. 2024, 14(18), 8410; https://doi.org/10.3390/app14188410 - 18 Sep 2024
Viewed by 1685
Abstract
As with the broad field of deep learning, autonomy is a research topic that has experienced a heavy explosion in attention from both the scientific and commercial industries due to its potential for the advancement of humanity in many cross-cutting disciplines. Recent advancements [...] Read more.
As with the broad field of deep learning, autonomy is a research topic that has experienced a heavy explosion in attention from both the scientific and commercial industries due to its potential for the advancement of humanity in many cross-cutting disciplines. Recent advancements in computer vision-based autonomy has highlighted the potential for the realization of increasingly sophisticated autonomous ground vehicles for both commercial and non-traditional applications, such as grocery delivery. Part of the success of these technologies has been a boon in the abundance of training data that is available for training the autonomous behaviors associated with their autonomy software. These data abundance advantage is quickly diminished when an application moves from structured environments, i.e., well-defined city road networks, highways, street signage, etc., into unstructured environments, i.e., cross-country, off-road, non-traditional terrains. Herein, we aim to present insights, from a dataset perspective, into how the scientific community can begin to expand autonomy into unstructured environments, while highlighting some of the key challenges that are presented with such a dynamic and ever-changing environment. Finally, a foundation is laid for the creation of a robust off-road dataset being developed by the Engineer Research and Development Center and Mississippi State University’s Center for Advanced Vehicular Systems. Full article
(This article belongs to the Special Issue Advances in Autonomous Driving and Smart Transportation)
Show Figures

Figure 1

14 pages, 1163 KiB  
Review
Advanced Packaging Techniques—A Mini-Review of 3D Printing Potential
by Anna Witek-Krowiak, Daniel Szopa and Beata Anwajler
Materials 2024, 17(12), 2997; https://doi.org/10.3390/ma17122997 - 19 Jun 2024
Cited by 6 | Viewed by 2639
Abstract
Packaging and packaging technology constitute a pivotal industry deeply intertwined with our daily lives and prevalent in various settings, including grocery stores, supermarkets, restaurants, and pharmacies. The industry is constantly evolving thanks to technological advances. This article delves into the dynamic landscape of [...] Read more.
Packaging and packaging technology constitute a pivotal industry deeply intertwined with our daily lives and prevalent in various settings, including grocery stores, supermarkets, restaurants, and pharmacies. The industry is constantly evolving thanks to technological advances. This article delves into the dynamic landscape of 3D printing in packaging, exploring its profound implications and potential. While this article highlights the advantages of traditional packaging approaches, it also highlights the many benefits of 3D printing technology. It describes how 3D printing enables personalization, rapid prototyping, and low-cost production, streamlining packaging design and manufacturing processes. Offering innovative solutions in design, functionality, and accessibility, the potential of 3D printing in packaging is promising. Full article
Show Figures

Figure 1

25 pages, 1292 KiB  
Article
The Significance of CSR in the Pursuit of Business Excellence and Competitiveness: Evidence from the Greek Supermarket Industry
by Zafeiria Masouti, George Tsiotras and Katerina Gotzamani
Sustainability 2024, 16(10), 4002; https://doi.org/10.3390/su16104002 - 10 May 2024
Viewed by 3378
Abstract
A primary management concern when CSR is used as a tool to build business excellence is whether it will result in a discernible influence on the competitiveness of firms. This concern is more pronounced in the hypercompetitive, customer-centric grocery industry. Despite the existing [...] Read more.
A primary management concern when CSR is used as a tool to build business excellence is whether it will result in a discernible influence on the competitiveness of firms. This concern is more pronounced in the hypercompetitive, customer-centric grocery industry. Despite the existing body of research, no study has combined CSR’s effects on competitiveness and business excellence into a model. The current study proposes and validates a data-driven conceptual model that aims to assess whether the integration of CSR into supermarkets’ (S/Ms’) business excellence practices can enhance their competitiveness. Relationships among the validated constructs were examined using structural equation modeling. Findings indicated that the competitiveness of supermarkets can be enhanced by incorporating CSR into the process of pursuing business excellence, but CSR may be deprioritized in favor of more pressing performance-related issues. Large S/M firms could mentor and advocate for smaller stores and encourage CSR integration through government initiatives. Full article
Show Figures

Figure 1

35 pages, 20761 KiB  
Article
Dynamics of Link Importance through Normal Conditions, Flood Response, and Recovery
by Navin Bhatta, Shakhawat H. Tanim and Pamela Murray-Tuite
Sustainability 2024, 16(2), 819; https://doi.org/10.3390/su16020819 - 17 Jan 2024
Cited by 2 | Viewed by 1736
Abstract
As climate change influences flood frequency, transportation damage and disruptions will become more common. Given the network’s expanse and cost of construction, communities’ mitigation efforts should be informed by analyses that span normal conditions and disaster management phases. This paper analyzes road segment [...] Read more.
As climate change influences flood frequency, transportation damage and disruptions will become more common. Given the network’s expanse and cost of construction, communities’ mitigation efforts should be informed by analyses that span normal conditions and disaster management phases. This paper analyzes road segment criticality in normal, flood response, and recovery phases in Anderson County, South Carolina, considering impacts on emergency services, healthcare, industry, education, recreation, and transit. A 100-year event provides context for analyzing flood impacts to the time-based shortest paths, determined using ArcGIS Pro 3.1.3. Local and secondary roads were especially affected, with rerouting concentrating around the Anderson City area. Blocked road sections identified potentially vulnerable roads, and normalized betweenness centrality metrics identified community dependence on road segments for daily and emergency operations. While the quantity and dispersion of parks and grocery stores mitigated rerouting distance, other purposes faced challenges from impassable routes. The analysis revealed the southeastern and southern regions as most impacted across purposes, suggesting targeted mitigation. I-85, State Routes 28 and 81, and Federal Routes 29, 76, and 178 were the most critical roads before, during, and after the flood. This study highlights commonalities in road criticality across phases to support resilient transportation planning and sustainability. Full article
(This article belongs to the Special Issue Transport Planning and Governance for Resilient Cities)
Show Figures

Figure 1

18 pages, 5606 KiB  
Article
Investigation of a Consumer’s Purchase Intentions and Behaviors towards Environmentally Friendly Grocery Packaging
by Mikah O. Oliver, Iva Jestratijevic, James Uanhoro and Dee K. Knight
Sustainability 2023, 15(11), 8789; https://doi.org/10.3390/su15118789 - 30 May 2023
Cited by 13 | Viewed by 6001
Abstract
Plastic packaging dominates the US grocery industry. This realization raises the question of whether consumers are purchasing food that is not wrapped in conventional plastic but environmentally friendly packaging. This quantitative study adapted the Theory of Planned Behavior to investigate the relationship between [...] Read more.
Plastic packaging dominates the US grocery industry. This realization raises the question of whether consumers are purchasing food that is not wrapped in conventional plastic but environmentally friendly packaging. This quantitative study adapted the Theory of Planned Behavior to investigate the relationship between consumers’ socio-demographics, purchase intention, and purchasing behavior regarding environmentally friendly grocery packaging. The survey was distributed through Qualtrics, and a sample of 487 eligible US grocery consumers was gathered. The study uncovers some novel findings. First, the results suggest that consumers’ subjective norms substantially stimulate environmentally friendly grocery packaging purchase intentions, influencing actual purchasing behavior. Second, we discovered that purchase intention and perceived behavioral control are likely working in conjunction to help bridge the intention-behavior gap in environmentally friendly consumption. Third, this study supplied a fresh perspective on socio-demographics’ role in environmentally friendly consumption, confirming that predominantly younger, unmarried consumers are more prone to purchase grocery items packaged in environmentally friendly materials. We hope that these study findings provide marketers with fresh insights into the characteristics of consumers willing to purchase grocery items packaged in environmentally friendly materials. Full article
Show Figures

Figure 1

13 pages, 291 KiB  
Article
Meeting the Expectations of the Customer: Consumer Valuation of Broccoli Produced in the Eastern United States and the Impact of Local Marketing
by Rebecca Wasserman-Olin, Miguel I. Gómez and Thomas Björkman
Sustainability 2023, 15(10), 7878; https://doi.org/10.3390/su15107878 - 11 May 2023
Viewed by 2234
Abstract
Regional vegetable production can only displace high-quality centralized production if consumers specifically desire regional produce. California leads the United States (US) in vegetable production and sets the industry standard for broccoli; however, there is increasing production in the Eastern US to shorten the [...] Read more.
Regional vegetable production can only displace high-quality centralized production if consumers specifically desire regional produce. California leads the United States (US) in vegetable production and sets the industry standard for broccoli; however, there is increasing production in the Eastern US to shorten the broccoli supply chain for East Coast consumers. With new varieties suited for East Coast production, more information is needed as to how they compete based on appearance, taste, and the influence of marketing them as local. In this article, we design and employ an experiment to compare a California product to four new broccoli breeds better suited for East Coast conditions. Our results show that the new varieties are becoming more competitive based on appearance and are valued higher when marketed as local. Additionally, consumers are willing to pay the same amount as the California variety for two of the New York varieties based on taste. In these two cases, local information is not associated with increased willingness to pay. Our results show that local marketing can increase a consumer’s willingness to pay, but the effect may decrease as the product quality meets the expected industry standard. These findings indicate that grocery stores have the potential to compensate for broccoli that does not quite meet a consumer’s appearance expectations by marketing it as local. However, as the product approaches a consumer’s expectations, local marketing is unlikely to increase a consumers’ willingness to pay. Full article
28 pages, 2805 KiB  
Article
Research on Industry Data Analytics on Processing Procedure of Named 3-4-8-2 Components Combination for the Application Identification in New Chain Convenience Store
by You-Shyang Chen, Chien-Ku Lin, Jerome Chih-Lung Chou, Ying-Hsun Hung and Shang-Wen Wang
Processes 2023, 11(1), 180; https://doi.org/10.3390/pr11010180 - 6 Jan 2023
Cited by 1 | Viewed by 2398
Abstract
With the rapid economic boom of Asian countries, the president of Country-A has made great efforts to reform in recent years. The prospect of economic development is promising, and business opportunities are emerging gradually, depicting a prosperous scene; accordingly, people’s livelihood consumption also [...] Read more.
With the rapid economic boom of Asian countries, the president of Country-A has made great efforts to reform in recent years. The prospect of economic development is promising, and business opportunities are emerging gradually, depicting a prosperous scene; accordingly, people’s livelihood consumption also has changed significantly. The original main point of consumption for urban and rural people was the old and traditional grocery store with poor sanitation, but due to the economic improvement, the quality of consumption has also improved, and convenience stores are gradually replacing grocery store. However, convenience store management involves performance, logistic, competition, and personnel costs. Both whether the store can create a net profit and evaluate and select a new store will be important keys that significantly influence business performance. Therefore, this study attempts to use the industry data analysis method for highlighting a concept of processing an experience procedure of named 3-4-8-2 components combination in two stages. First, in the data preprocessing stage, this research considers 22 condition attributes and two types of decision factors, that include net profit and new store selection, and use both techniques of attribute selection and data discretization through the analysis and prediction of data mining tools. Next, in the experiment execution stage, three well-known classifiers (Bayes net, logistic regression, and J48 decision tree) with past good performance and four models (without preprocessing, with attribute selection, with data discretization, and with attribute selection and data discretization) are used for eight different experiments through two data verification methods (percentage split and cross-validation). Conclusively, three key results are identified from empirical analysis: (1) It is found that the prediction accuracy of the J48 decision tree classifier is relatively high and stable among the three classifiers in this study; at the same time, the J48 decision tree can yield comprehensible knowledge-based rules to instruct interested parties. (2) The results of this study show that the important attributes for the net profit decision attribute include the store type, POS number, and cashier number, while the important attributes for the new store selection include the store type and cashier number. (3) There is a difference in the selection of important attributes. Furthermore, four key valuable contributions are addressed from the empirical results, including academic contributions, enterprise contributions, application contributions, and management contributions. It is expected that the direction of store layout expansion can be found and identified through this study, but there are still many risks hidden behind the considerable business opportunities that need to be carefully managed. Full article
(This article belongs to the Special Issue Design and Optimization in Process Engineering)
Show Figures

Figure 1

15 pages, 1277 KiB  
Article
Post-Pandemic M-Commerce—Leveraging Users’ Review Comments to Enhance Mobile Grocery-Shopping Applications (MGSAs)
by Sînziana-Maria Rîndașu, Bogdan-Ștefan Ionescu and Liliana Ionescu-Feleagă
Electronics 2022, 11(22), 3771; https://doi.org/10.3390/electronics11223771 - 17 Nov 2022
Cited by 3 | Viewed by 2693
Abstract
This paper aims to examine the main challenges encountered by mobile grocery-shopping applications’ (MGSAs) users, wherein the analysis is based on the review comments for three popular MGSAs deployed by main grocery retailers in Europe. The research methodology used was qualitative in the [...] Read more.
This paper aims to examine the main challenges encountered by mobile grocery-shopping applications’ (MGSAs) users, wherein the analysis is based on the review comments for three popular MGSAs deployed by main grocery retailers in Europe. The research methodology used was qualitative in the form of a cross-sectional inductive approach, allowing for the identification of the main issues encountered by users and their classification into four categories for a more straightforward presentation. The research findings indicate that despite the below-average level of digital literacy, customers are trying to use MGSAs efficiently and are proposing different areas of improvement, such as the design, the general functionality of the applications, and other factors regarding the specific functionalities of MGSAs. The findings may be leveraged by grocery retailers to exploit this market efficiently in a post-pandemic context; moreover, the study’s results could provide meaningful knowledge to the mobile retail industry, as the detailed insights offer adequate support for enhancing mobile-shopping (m-shopping) applications. Full article
Show Figures

Figure 1

9 pages, 898 KiB  
Article
Effects of Food Cooperative Membership on What Consumers Buy and Where They Buy: Evidence from Korean Household Panel Data 2015–2019
by Dongmin Lee
Sustainability 2022, 14(19), 12197; https://doi.org/10.3390/su141912197 - 26 Sep 2022
Cited by 2 | Viewed by 1846
Abstract
Alternative food networks (AFNs) have emerged in response to the conventional industrial food system, which distances and detaches food production from food consumption. Food cooperatives are representative of AFNs where relationships between food producers and consumers are reconfigured. This study examines household food [...] Read more.
Alternative food networks (AFNs) have emerged in response to the conventional industrial food system, which distances and detaches food production from food consumption. Food cooperatives are representative of AFNs where relationships between food producers and consumers are reconfigured. This study examines household food cooperative membership and changes in food purchase behavior using household panel data gathered by the Rural Development Administration of Korea. In particular, it aims to provide insight into the effect of AFNs on consumer food purchase behavior, including expenditure per food category and visit frequency ratio per store format. The ordinary least squares regression model was used. The findings show that depending on the ownership of AFNs, expenditure per food category and visit frequency ratio per store format vary. Food cooperative members tend to purchase less processed food and more fresh vegetables and fruits than nonmembers. Moreover, food cooperative membership significantly influences the decrease in visits to small supermarkets and traditional markets when purchasing groceries. Full article
Show Figures

Figure 1

16 pages, 19568 KiB  
Article
Design and Implementation of Real-Time Kitchen Monitoring and Automation System Based on Internet of Things
by Ch Anwar Ul Hassan, Jawaid Iqbal, Muhammad Sufyan Khan, Saddam Hussain, Adnan Akhunzada, Mudabbir Ali, Abdullah Gani, Mueen Uddin and Syed Sajid Ullah
Energies 2022, 15(18), 6778; https://doi.org/10.3390/en15186778 - 16 Sep 2022
Cited by 18 | Viewed by 8918
Abstract
Automation can now be found in nearly every industry. However, home automation has yet to reach Pakistan. This paper presents an Internet of Things smart kitchen project that includes automation and monitoring. In this project, a system was developed that automatically detects the [...] Read more.
Automation can now be found in nearly every industry. However, home automation has yet to reach Pakistan. This paper presents an Internet of Things smart kitchen project that includes automation and monitoring. In this project, a system was developed that automatically detects the kitchen temperature. It also monitors the humidity level in the kitchen. This system includes built-in gas detection sensors that detect any gas leaks in the kitchen and notify the user if the gas pressure in the kitchen exceeds a certain level. This system also allows the user to remotely control appliances such as freezers, ovens, and air conditioners using a mobile phone. The user can control gas levels using their phone with this system. In this paper, the ESP32, DHT11 Sensor, 5 V Relay X 8, and MQ-135 gas sensors create a smart kitchen by controlling the temperature, managing humidity, and detecting gas leakage. The system was built on an Arduino board that is connected to the Internet. The hardware was integrated and programmed using an Arduino, and a user Android application was developed. The project’s goal is to allow any Android smartphone to remotely control devices. This method is commonly used in homes, businesses, and grocery stores. Users will be able to control all of their instruments from anywhere, including switches, fans, and lights. Furthermore, simulation was performed using Matlab2016b on multiple houses. In the simulation, not only was the kitchen considered, but also two, four, and six houses. Each house has two bedrooms, one living room, one guest room, two bathrooms, and one kitchen. The results revealed that using this system will have a scientifically significant impact on electricity consumption and cost. In the case of the houses, the cost was USD 33.32, 32.64, 22.32, and 19.54 for unscheduled, two, four, and six houses, respectively. Thus, it was observed that the cost and power are directly proportional to each other. The results reveal that the proposed solution efficiently reduces the cost as compared to that of unscheduled houses. Full article
Show Figures

Figure 1

26 pages, 1449 KiB  
Article
Using Online Grocery Applications during the COVID-19 Pandemic: Their Relationship with Open Innovation
by Ma. Janice J. Gumasing, Yogi Tri Prasetyo, Satria Fadil Persada, Ardvin Kester S. Ong, Michael Nayat Young, Reny Nadlifatin and Anak Agung Ngurah Perwira Redi
J. Open Innov. Technol. Mark. Complex. 2022, 8(2), 93; https://doi.org/10.3390/joitmc8020093 - 16 May 2022
Cited by 24 | Viewed by 11613
Abstract
This present research examines the behavioral intentions of Filipinos to use online grocery applications during the novel COVID-19 pandemic. The study proposes an integration of the health belief model (HBM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2) to identify [...] Read more.
This present research examines the behavioral intentions of Filipinos to use online grocery applications during the novel COVID-19 pandemic. The study proposes an integration of the health belief model (HBM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2) to identify the factors affecting the acceptance and usage of Filipinos of online grocery applications in terms of the impact of health risk for COVID-19. To accurately measure the factors and their relationship to behavioral intentions and usage behavior, a questionnaire was developed and distributed to 373 residents in the Philippines. Partial least squares structural equation modeling (PLS-SEM) was applied as an analytical method for this study. The results revealed that performance expectancy, perceived benefits, perceived severity, and cues to action significantly influenced the behavioral intentions and usage of online grocery apps during the COVID-19 pandemic. The study’s findings can be utilized as a theoretical framework for future researchers of consumer behavior; e-commerce developers; and grocery industry retailers, to enhance the innovation and services of online grocery applications. The results of this study may also be used and capitalized on by investors and managers to apply in strategizing when developing and marketing online grocery applications among consumers. Moreover, the framework of this study may be adopted and utilized by other online markets, even in different counties. Further theoretical and practical aspects are discussed in this paper. Full article
Show Figures

Figure 1

15 pages, 1985 KiB  
Article
Effects of Digital Food Labels on Healthy Food Choices in Online Grocery Shopping
by Klaus L. Fuchs, Jie Lian, Leonard Michels, Simon Mayer, Enrico Toniato and Verena Tiefenbeck
Nutrients 2022, 14(10), 2044; https://doi.org/10.3390/nu14102044 - 13 May 2022
Cited by 23 | Viewed by 6686
Abstract
In order to induce the shift in consumer behavior necessary for the mitigation of diet-related diseases, front-of-package labels (FoPL) such as the Nutri-Score that support consumers in their efforts to identify nutritionally valuable products during grocery shopping have been found to be effective; [...] Read more.
In order to induce the shift in consumer behavior necessary for the mitigation of diet-related diseases, front-of-package labels (FoPL) such as the Nutri-Score that support consumers in their efforts to identify nutritionally valuable products during grocery shopping have been found to be effective; however, they remain non-compulsory in most regions. Counter-intuitively, a similar stream of research on digital web-based FoPL does not yet exist, even though such digital labels hold several advantages over physical labels. Digital FoPL can provide scalable and personalized interventions, are easier to implement than physical labels, and are especially timely due to the recent increase in online grocery shopping. The goal of this study was to demonstrate the technical feasibility and intervention potential of novel, scalable, and passively triggered health behavior interventions distributed via easy-to-install web browser extensions designed to support healthy food choices via the inclusion of digital FoPL in online supermarkets. To that end, we developed a Chrome web browser extension for a real online supermarket and evaluated the effect of this digital food label intervention (i.e., display of the Nutri-Score next to visible products) on the nutritional quality of individuals’ weekly grocery shopping in a randomized controlled laboratory trial (N = 135). Compared to the control group, individuals exposed to the intervention chose products with a higher nutritional quality (e.g., 8% higher healthy trolley index (HETI), 3.3% less sugar, 7.5% less saturated fat). In particular, users with low food literacy seemed to benefit from the digital FoPL (e.g., 11% higher HETI, 10.5% less sugar, 5.5% less saturated fat). Furthermore, participants exposed to the food label advocated its introduction more strongly than the control group (p = 0.081). Consumers worldwide could easily install such applications to display digital food labels on their end devices, and would thus not have to wait for stakeholders in the food industry to eventually reach consensus on mandatory food label introduction. Full article
(This article belongs to the Special Issue Impact of Front of Pack Nutrition Label on Nutritional Behavior)
Show Figures

Figure 1

18 pages, 457 KiB  
Article
Retail System Scenario Modeling Using Fuzzy Cognitive Maps
by Alina Petukhova and Nuno Fachada
Information 2022, 13(5), 251; https://doi.org/10.3390/info13050251 - 13 May 2022
Cited by 5 | Viewed by 3325
Abstract
A retail business is a network of similar-format grocery stores with a sole proprietor and a well-established logistical infrastructure. The retail business is a stable market, with low growth, limited customer revenues, and intense competition. On the system level, the retail industry is [...] Read more.
A retail business is a network of similar-format grocery stores with a sole proprietor and a well-established logistical infrastructure. The retail business is a stable market, with low growth, limited customer revenues, and intense competition. On the system level, the retail industry is a dynamic system that is challenging to represent due to uncertainty, nonlinearity, and imprecision. Due to the heterogeneous character of retail systems, direct scenario modeling is arduous. In this article, we propose a framework for retail system scenario planning that allows managers to analyze the effect of different quantitative and qualitative factors using fuzzy cognitive maps. Previously published fuzzy retail models were extended by adding external factors and combining expert knowledge with domain research results. We determined the most suitable composition of fuzzy operators for the retail system, highlighted the system’s most influential concepts, and how the system responds to changes in external factors. The proposed framework aims to support senior management in conducting flexible long-term planning of a company’s strategic development, and reach its desired business goals. Full article
(This article belongs to the Special Issue Business Process Management)
Show Figures

Figure 1

Back to TopTop