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Background: The Food Commerce industry has flourished massively during the past decade in South Kolkata in West Bengal, with new outlets opening every now and then, so much so that this region is known as 'Food Street'. Regardless of their scale of operations, each of these outlets had well established themselves, catering to their respective target markets and earning decent amount of revenue over the years. However, this growth suffered a setback owing to the origin of novel Coronavirus SARS-n-CoV-2. The growth rate declined to a great extent over the span of two years, with recent studies showing an overall stunted growth rate. Even though online marketing of these outlets and selling the food through delivery apps have aided the entrepreneurs, the cost to revenue ratio is not at par with that of the times before the pandemic hit. Overall, the pandemic has impacted the eateries in more way than initially imagined. Objectives: (a) To reveal the various problems and scenarios of managing food business during the Covid-19 pandemic in South Kolkata region;(b) To compare the present scenario of the food industry with how things were before prior to the pandemic to understand the nature of change during this time frame;and, (c) To describe the challenges and methods implemented by the food retail business entrepreneurs and managers of the randomly selected establishments to hold a steady business flow during the Covid-19 pandemic. Methodology: The study follows a descriptive research design. Therefore, the research will describe the characteristics of the sample under study. The food outlets of South Kolkata have been chosen as the study location. 100 respondents were selected. The respondents are those who consume food from these outlets such that they represent the wider target market of the 'Food Street'. Both Primary Data and Secondary Data were used. Primary Data was collected through sample survey. Random Sampling technique was used to choose the respondents. The study used quantitative data, therefore, only Quantitative analysis was performed. Results: The Research was able to depict the comparison between the present scenario and the situation prior to the pandemic. The study was able to reveal the challenges and problems that the food outlets had to suffer from. Also, the methods or strategies taken up by the entrepreneurs of these outlets to overcome the pandemic were discovered. 46% of the respondents opted for "Mobile Food Delivery" as their strategy to revive from losses. Conclusion: With COVID-19 having altered - and still in the process of altering - the definition of "normal" across the world, most industries are still scrambling to adjust. The effect on the restaurant industry has been particularly dramatic. With restaurants and pubs closed for sit-down service, many establishments are struggling to keep their heads above water. The food outlets located in South Kolkata shares the same fate and the research is able to highlight this effectively.
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PurposeThe pervasive impact of the COVID-19 virus on the food services sector in India has created conditions for fundamentally altering the structure of the industry. This paper offers a nuanced evaluation of the transfiguration of the market, explaining descriptive views supported by numerous secondary data sources.Design/methodology/approachThis is a self-driven study grounded in secondary data. Qualitative and quantitative assessments are assimilated from credible market research reports of multiple agencies in the Indian context, as well as news developments during the pandemic period.FindingsDigitally pivoted platforms such as cloud kitchens and delivery aggregators will eclipse all other formats due to the potential long-term prevalence of the COVID-19 virus. These formats would rise to a dominant position in the Indian food services sector in the coming decade.Research limitations/implicationsThis study is entirely driven by secondary data due to the inherent difficulties of collecting sizeable and good quality primary data as a result of the lengthy and stringent lockdowns imposed across India. Future studies should consider collecting consumer responses to get a better picture of changing dining habits in the post-pandemic scenario.Practical implicationsThe dynamic and evolving food services in India, catalyzed by the Internet and digital technologies will help academicians study the long-term implications of this change, and how it would impact society at large. The paper provides a rich body of contemporary data and analysis in the food services sphere.Social implicationsThe COVID-19 pandemic and its long-term persistence would dramatically alter food service consumption across India. This will not only change how the industry is structured, but will reshape how food is consumed into the future.Originality/valueThe study is a holistic examination of the relationship between the coronavirus pandemic and the food services industry in India. The macro perspectives aided by news coverage and industry research would help generate potential research questions on its own merits.
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Amid the COVID-19 pandemic, mask-wearing has become a common practice in the foodservice industry to prevent the spread of respiratory diseases. Like kitchen utensils, a mask may serve as a vehicle for cross-contamination of pathogens during food handling. The objective of this study was to quantify cross-contamination between tasks of handling contaminated chicken and chopping lettuce. Chicken breasts were inoculated with a high or a low level of nonpathogenic Escherichia coli surrogates (ca. 6 or 4 log CFU/ml) and sliced for 1, 5, or 10 min. During slicing, duplicate, single-use medical masks were touched each minute. One mask was immediately sampled, but the second mask was used to contaminate lettuce by touching the mask each minute while chopping the lettuce for 5 min. E. coli were enumerated from the second mask and lettuce. Masks touched while slicing both high- and low-inoculated chicken showed significant contamination (0.8-4.9 log CFU/cm2) after each slicing scenario of 1, 5, or 10 min (P > 0.05). Lettuce was significantly contaminated regardless of inoculation level (1.0-3.2 log CFU/g). Slicing time was a significant factor in some cases (P < 0.05), whereas inoculation level was not (P > 0.05). Data indicate masks can be a source of cross-contamination if not replaced appropriately.
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Purpose: This study aims to investigate the effects of memorable dining experiences (MDEs) in the USA during the COVID-19 pandemic. Design/methodology/approach: A total of 530 valid survey responses were collected in the USA. Partial least squares structural equation modeling (PLS-SEM) was used to estimate inner and outer models. A two-stage approach was applied to test the moderating effects of restaurant safety measures. Additional analyses were conducted to compare electronic word of mouth (eWOM) intention and actual eWOM behavior. Findings: All five dimensions contributed to the overall memorability of a dining experience, with affect being the primary factor. Overall memorability was positively related to subjective well-being and actual eWOM behavior. Restaurant safety measures were positively related to the overall experience but did not moderate the relationship between any dimension and overall memorability. Research limitations/implications: Findings provide empirical support for the conceptualization of MDEs during a pandemic and underscore the importance of actual eWOM behavior in restaurant research. Practical implications: Results offer guidance for restaurant managers in designing MDEs. Originality/value: The restaurant industry is evolving from simply providing products and services to creating experiences. Yet the impacts of crafting MDEs are not well understood, especially during a pandemic. This study filled this gap by investigating MDEs and their effects on subjective well-being and eWOM behavior.
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Purpose: The COVID-19 pandemic has caused the food delivery sector to boom as people continue to rely on services provided by online catering platforms (OCPs). However, because of the nature of sharing economy employment, gig workers' contributions went largely ignored until intervention from institutional governance. This study aims to explore the impacts of labor market transformation after the Chinese Government issued guidance to promote gig workers' welfare as a focal case. Design/methodology/approach: Focus groups and the Delphi technique were used to explore associated impacts on OCPs and gig workers based on governance theory. Findings: Results show that institutional governance negatively affected OCPs' operating cost structure but sustained gig workers' welfare. The dual effects of market mechanism and institutional governance in the sharing economy are needed to be balanced for labor market transformation. Research limitations/implications: Long-term equilibrium can be fulfilled, given the growing food-related demand for the market mechanism. Social reciprocity is expected to be realized through institutional governance for gig workers' welfare. Originality/value: This study suggests that moving from market governance to stakeholder governance, as mediated by state governance, could transform gig workers' labor structure in the gig economy. This study presents an integrated governance theory to enhance the epistemology of institutional governance.
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The integrated, safety-net healthcare system for the City and County of San Francisco includes the Priscilla Chan and Mark Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco's only Level 1 trauma center, and the Laguna Honda Hospital and Rehabilitation Center. [...]even when folks can't get out of their home, we at the San Francisco Health Network know we can still reach out to them with access to substance abuse and mental health support as well as other critical preventive screenings. Dr. Ford: A few years ago, San Francisco enacted a law directing firms that employ 20 or more employees, most notably food service workers, to contribute a minimum amount to health benefits per employee hour. [...]many of them are doing two or three jobs to support their families, so it is impossible for them to get healthcare during periods that may be "normal” for the rest of us.
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The 2019-2020 COVID pandemic has affected many organisations and companies. One of the most affected sectors is accommodation and food service activities. The aim of this paper is to assess technical efficiency of Czech companies in this sector. The research sample included thousands of enterprises (Group I according to the Statistical Classification of Economic Activities in the European Community - NACE). These enterprises were evaluated for the years 2019 and 2020 in order to track changes in pre-pandemic and pandemic years. The data was exported from the Albertina CZ Gold Edition database. DEA models are used for analysis and comparison. Efficiency scores were calculated based on the CCR (Charnes, Cooper and Rhodes) and BCC (Banker, Charnes, Cooper) models with 6 and 4 inputs and 3 and 2 outputs. The results show that there were already many inefficient companies in the given sector in 2019 and this was also observed for 2020, however, there was a significant reduction in the number of subjects in the database, which may also be due to the impact of the COVID-19 pandemic.
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PurposeThis study aims to draw attention to consumers' behaviours which are changing on account of the COVID-19 pandemic, provide an understanding of the factors influencing these behaviours and emphasise their importance in building contemporary business models for the restaurant industry. The article is a case study of the Polish restaurant sector based on a comparison with the worldwide literature.Design/methodology/approachA study of the current literature on the subject pertaining to the issues discussed, an analysis of them, mainly by examining trade reports, with a special focus on the following databases (BDL GUS, CBOS, IGGP PKD) and foreign references, as well as Internet sources, using the systematic (structured) literature review (SLR) method. The authors searched the databases between May 2020 and May 2022, paying attention to the following keywords: COVID-19, consumer behaviours, food services, market segmentation, Poland.FindingsThe analysis allowed the authors to identify the most important factors influencing consumer behaviour under the influence of the COVID-19 pandemic. This in turn enabled them to verify a hypothesis concerning the significant impact of the COVID-19 pandemic on consumers' behaviours on the food service market. Results from an analysis of trade reports and from a literature review confirm the hypothesis proposed, leading to the conclusion that the contemporary reality in Poland currently requires businesses to continuously monitor consumers' behaviours in a turbulent and uncertain environment.Research limitations/implicationsThe systematic identification of changes taking place in consumers' behaviours will make it possible to adapt a portfolio of services to changes observed in this regard.Practical implicationsThe analysis conducted by the authors in 2021 to examine trends in consumer behaviours proved that changes affecting their thinking were undoubtedly accelerated by the pandemic of a contagious disease – COVID-19.Originality/valueSome consumer trends that appear to be a response to limits and restrictions may be observed for a longer period of time. Therefore, those restaurant owners who want to successfully go through the stage of adaptation to the new reality will have to focus, in the short term, on actions designed to identify their customers' needs and expectations anew and tailor their business models and offer accordingly.
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Food waste is a global concern today. Increasing the level of food security requires a better use of food systems, including reducing food waste and losses. Food crisis and the increase in the price of food, in the context of the climate changes, the Covid pandemic or the war in Ukraine, have sharpened the approach to food waste, including in Romania. National legislation on reducing food waste was adopted relatively late, and data on food waste in Romania are limited. According to international statistics, Romania wastes 2.5 million tons of food annually, with an average of about 70 kilograms/inhabitant, placing it in the middle of the European ranking of food waste. Research has shown that almost half of waste comes from households and a third from industrial food processing. The large commercial food chains in Romania already have programs to combat food waste. Educating the population, starting from primary education, adopting national strategies and applying good practices in reducing food waste from other European countries can represent potential solutions for Romania.
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The development of COVID-19 into a global epidemic has made it necessary to regulate foodservice practices to minimize the risk of transmission. The main purpose of this study is to determine the effects of awareness, perception, and anxiety levels of kitchen staff on attitudes toward the implementation of new practices regarding novel COVID-19 regulations. Empirical data were collected from 721 kitchen staff working at certified food and beverage establishments, hotels, and restaurants in Turkey. The study results indicated a negative correlation between attitude toward application and anxiety and a positive correlation between awareness and attitude. Significant differences were also detected in the dimensions of awareness, perception, anxiety, and attitude regarding the demographic features of the participants. Kitchens are the nerve center of the foodservice industry. The study extends the value of the in-house (kitchen) responses to improve the food handling practices in commercial kitchens regarding the implementation of new COVID-19 regulations.
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Drones operate on electric batteries and not on gasoline, so the eco-friendly role of drones has recently attracted a lot of attention. Thus, this study was designed in order to investigate differences in behavioral intentions, such as intention to use, word-of-mouth, and willingness to pay more, according to demographic characteristics and past experiences in the field of eco-friendly drone food delivery services. Data were collected from 422 potential consumers of eco-friendly drone food delivery services in South Korea. The data analysis results indicated that females are more willing to pay extra than males are, respondents who were in their 50s had higher word-of-mouth intention than other generations, marital status showed significant differences in willingness to pay more and intentions to use, and there was a difference in willingness to pay more and word-of-mouth with regards to monthly income. In addition, respondents who had previously heard of drone food delivery services had higher averages with willingness to pay more and intentions to use as opposed to respondents who had not heard of them, and respondents who had experience controlling drones were willing to pay additional fees when they used eco-friendly drone food delivery services. The results of this study would be a great assistance for executives who will operate eco-friendly drone food delivery services.
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Drop in nutrition value during food logistics impacts the health of consumers. Vegetables, fruits, fish, milk lose nutrients during logistics if it is not properly monitored. Real-time tracking and monitoring, large data handling and secure business transactions are key to the effective operation of supply chains. The COVID-19 pandemic has taught us the need for handling unforeseen situations in various sectors. Limitations to logistic operations, inaccessible warehouses, shutdown of consumer outlets for an unexpected duration, have affected the supply chain drastically. This has laid emphasis on the need for technology-based solutions that can monitor, control and make quick decisions, that can reduce losses. With this scenario as a background, a system architecture has been proposed to detect the nutrient value of food by periodically monitoring temperature and humidity in real-time and alerting the cold chain entities in cold chain environments. This architecture is proposed as an integration of Internet of Things (IoT) with cloud-based storage, to provide real-time data collection at the end-user, seamless storage and computation in the cloud and secure transactions at the business layer. An experimental setup of the system architecture has been configured and the implementation has been tested at a preliminary level. The performance of the application is analyzed and the proposed web application is efficient for large scale supply chain applications, provided scaling of hardware resources.
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During the COVID-19 pandemic, the Summer Food Service Program (SFSP) was allowed to operate in untraditional non-summer months to ensure children did not lose access to free and reduced-priced nutritious meals when schools were mandated to close in the United States. This study assessed the impact of the pandemic on the operations and experiences of Summer Food Service Program (SFSP) sponsors in the state of Maryland during the COVID-19 pandemic in 2020 (Phase I) and 2021 (Phase II). This study used a multiphase explanatory sequential mixed methods design with qualitative prioritization. Maryland SFSP sponsors completed an online survey (Phase I: n = 27, Phase II: n = 30), and semi-structured in-depth interviews were conducted with a subset of sponsors who completed the survey (Phase I: n = 12, Phase II: n = 7). Inductive and deductive analyses were used for qualitative data, and descriptive statistics were used for quantitative data. The COVID-19 pandemic caused SFSP sponsors to change their operations. Sponsors were primarily concerned about staff safety/burnout and decreased participation. Sponsors perceived waivers implemented by the United States Department of Agriculture to be crucial in enabling them to serve meals to children during the pandemic. The findings from our study support advocacy efforts to permanently implement waivers and provide free school meals for all children.
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COVID-19 , Food Services , Child , Humans , United States/epidemiology , COVID-19/epidemiology , Maryland/epidemiology , Pandemics , Food Supply , Poverty , MealsABSTRACT
Malaysia's online food delivery (OFD) has developed into a vibrant scene. Urban dwellers are slowly getting used to the idea of OFD services as the new normal for eating out at the times of COVID-19. During the movement control order (MCO), government initiatives and movement restrictions propelled OFD services into the limelight, allowing locals the opportunity to support their favorite local businesses. Using model goal-directed behavior (MGB), this study investigated the effect of consumers' perceived risk (e.g., performance risk, privacy risk, financial risk, physical risk, and COVID-19 risk) on their use of OFD services. The results of the partial least squares-structural equation modeling (PLS-SEM) analysis of 339 responses indicates that perceived risk negatively affects consumers' desire to use OFD services, while perceived physical risk and COVID-19 risk negatively affect their intention to use OFD services. Further, the study uncovers the moderating role of perceived risk in the relationship between desire and intention. This study offers insights to OFD service providers in formulating new business strategies and propositions for business growth and consumer retention in the post-pandemic world.
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Purpose: The purpose of this paper is to analyze the latest phenomenon emerging from rural towns and villages, where a surge in traditional cafes and restaurants has spurred a new trend in sustainable tourism development. This phenomenon is linked to local efforts to mitigate the socio-economic impact of the COVID-19 pandemic and the series of lockdowns that accompanied it. This paper focuses on two critical lines of inquiry: (1) Where did the idea stem from? and (2) How has it developed to the extent that it now constitutes one of the few primary sources of income for underdeveloped communities? Design/methodology/approach: Exploratory research was conducted in rural and urban areas where tourism is still developing. In depth, semi-structured interviews were conducted with a sample consisting of ten owners of rural and traditional cafes who consented to their participation in the study. Findings: Emerging trends such as rural and traditional cafes and restaurants can be a stable source of income for underserved communities in uncertain times. Local entrepreneurs often play a critical role in the development of sustainable rural tourism efforts as they have a better understanding of the needs of their own local community. Furthermore, their projects typically carry higher levels of authenticity and innovation with a greater ability to attract both local and international travelers. Research limitations/implications: Taking into consideration the exploratory nature of this study, a small convenience sample was used. Originality/value: This study highlights the importance of innovation in the tourism industry during precarious times, the most recent example of which was the global COVID-19 pandemic. This paper suggests that the industry can rely on new emerging trends to mitigate the loss of revenue from previous sources of tourism. Furthermore, the study showcases the importance of domestic tourism trends and how it can lead to an expansion in international tourism resources.
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Many governments closed their borders in spring 2020 to prevent the spread of Covid, but they also made exceptions to allow farm employers to recruit temporary foreign workers to fill seasonal farm jobs. The pandemic changed many parameters of food systems. Closed restaurants led to widespread layoffs in leisure and hospitality, rates of Covid were high among nonfarm food processing and meatpacking workers, and there was less Covid than expected among the foreign workers who increased their share of employment in production agriculture. The pandemic accelerated three major changes that were already underway, viz., more labor-saving mechanization, more foreign workers, and increased imports of labor-intensive commodities. Mechanization increases the resilience of production agriculture to labor supply shocks.
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Since early 2020, the COVID-19 outbreak has disrupted various supply chains including the on-demand food delivery sector. As a result, this service industry has witnessed a tremendous spike in demand that is affecting its delivery operations at the downstream level. Previous research studies have explored one-to-one and many-to-one solutions to the virtual food court delivery problem (VFCDP) to optimize on-demand food delivery services in different cities. However, research efforts have been limited to multiple restaurant orders from only one customer which does not apply to traditional systems where multiple customers request on-demand food delivery from multiple restaurants. This study rigorously analyses multiple restaurants to multiple customers (Many-to-many) food delivery simulation models in ideal weather conditions that are constrained with multiple key performance indicators (KPIs) such as delivery fleet utilization (the number of couriers utilized over the fleet size), average order delivery time, and fuel costs. This research also benchmarks the on-demand food delivery queueing methodologies using system dynamics and agent-based simulation modeling where three on-demand food delivery routing methodologies are simulated including First-in-First-Out (FIFO), Nearest, and Simulated Annealing using AnyLogic. The results suggest that the Many-to-many (Nearest) method outperforms other delivery routing methods which would have positive implications on optimizing existing food delivery systems and managerial decisions.
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PurposeDespite the importance of mobile experiences in the food service industry, extant studies do not empirically examine customers' behavior. Thus, the authors examine this issue by using utility theory to understand the role of multidimensional customers' perceived value in the formation of a positive attitude.Design/methodology/approachCustomers' perceived service, process, and relationship values are hypothesized to affect satisfaction, which in turn affects attitudinal loyalty to food delivery applications. Also, the authors explore whether attitudinal loyalty influences customers' behavioral loyalty. Hypotheses are examined using data from US customers of food delivery applications. Partial least squared structural equation modeling is used.FindingsResults show that customers' perceived service, process, and relationship valuation of mobile experiences influence satisfaction, whereas only the process value influences satisfaction and attitudinal loyalty. Moreover, customers' behavioral loyalty is positively affected by satisfaction and attitudinal loyalty.Research limitations/implicationsService, process, and relationship values have been shown as an important indicator of customers' positive attitude toward food delivery service providers. Thus, this study provides a better understanding of the relationship between customers' mobile service experience and their behavior will allow service providers to design better mobile services.Originality/valueThe study extends utility theory to mobile the food delivery context. Specifically, this research demonstrates why and how customers decide to use mobile food delivery application.
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In Bangladesh, app-based online food delivery services are gaining popularity. The increased use of mobile phones and the affordability of the internet aided businesses in meeting new customer demands such as food delivery to the customers' homes. Thus, the primary goal of this research is to identify the factors influencing customer intention to use food delivery apps (FDAs) during COVID-19. Data are collected using a structured questionnaire and analysed quantitatively using partial least square structured equation modelling (PLS-SEM). Results show that price value and convenience are the most influential factors affecting the intention to use FDAs during COVID-19. There is, however, insufficient evidence to demonstrate the influence of the other three factors (e.g., service quality, delivery experience, ease of use) on FDA use intention. A better understanding of emerging student consumers will assist management in leveraging the factors that must be considered when providing services to this market.