Point Of Sale Research Articles

Commercial oats in gluten-free diet: A persistent risk for celiac patients.

BackgroundGluten-free diet is the treatment of celiac disease and other gluten-related disorders and excludes wheat, rye, and barley, while oats inclusion/exclusion has long been a matter of debate. A logo or catchphrase indicating the gluten-free condition in a product is all the consumer relies on to accept the product as suitable for his/her treatment. The oat-based gluten-free products represents a small market, which may have changed, and become more limited during COVID-19 pandemic.ObjectiveTo assess gluten contamination in all labeled oat-based gluten-free local and imported products available in the market, comparing them to matched regular gluten containing counterparts. As a secondary objective, unconventional flours available in the same sale points were also assessed.ResultsThe search yielded 25 gluten-free labeled oat flours, rolled, and instant cereals, which were compared to 27 regular gluten containing equivalents. Gluten content was above the local (5 ppm) and the Codex Alimentarius cutoff (20 ppm) in 40 and 36% of the gluten-free labeled products, respectively. When all positive products were analyzed together, there were no differences in gluten content between labeled and unlabeled products. Locally produced products were more expensive, while rolled/instant oats were less contaminated than flours (p = 0.01). Precautionary labels advising presence of gluten as allergen was omitted in 37.0% of regular products. Only 33.3% of unconventional flours obtained from open markets and sold in bulk, were gluten contaminated.ConclusionOat-based gluten-free products are currently highly contaminated. It is urgent to regulate them and implement protocols that allow safe consumption of these products.

Application of Sensory Marketing Techniques at Marengo, a Small Sustainable Men’s Fashion Store in Spain: Based on the Hulten, Broweus and van Dijk Model

(1) Background: the present research addresses sensory marketing to check its possible potential in making the consumer shopping experience in physical points of sale more sustainable and efficient, both for potential buyers and for the selling company. (2) Aims: the main purpose of this study is to check whether, by applying sensory marketing and merchandising techniques in a shop, the business can be more economically profitable and, thus, make it more sustainable. The main objective is, therefore, to find out how consumers respond to different communication strategies in an experimental men’s fashion shop located in a Spanish municipality. (3) Methodology: researchers adapted the so-called Sensory Marketing Model to a real case. Based on scientific evidence and documentary review, an experiment of implementation of sensory marketing tactics (visual, sound, olfactory and haptic) and its subsequent quantitative analysis based on the before-after, cause-effect relationship was carried out. (4) Results: the results obtained shed light on the importance of sensory marketing, as this study showed a considerable increase in sales, customer retention and customer satisfaction in the shop, following the deployment of appropriate sensory marketing strategies. (5) Conclusions: the Sensory Marketing Model is valid and reliable for implementation, not only to increase sales, but also to make the store more sustainable, as all actions carried out involved a decrease in material resources typical of retail shops.

지속적인 고객가치 창출을 위한 통합 지원서비스 모델 프레임윅 개발

The purpose of this study is to use relevant cases to develop an integrated support service model for continuous customer value creation. An integrated support service model framework and specific activities were suggested in this study. This model was developed as a three-step process: activities before the point of sale (before service provision, pre-sale), during the point of sale (during service provision, on-sale), and after the point of sale (after service provision, post-sale). The following processes are suggested, each of which has sub-steps. Pre-sale activities include service warranties. On-sale activities are broken into service failure prevention and recovery management, customer experience management, and personalized service management activities. Post-sale activities include service management after the point of sale. In particular, service failure prevention and recovery management are necessary for all three steps. According to the findings of this study, the proposed model that categorizes the services needed from before to after sales by procedures and integrating components would be applied in the service sectors.

Determinants of the Moka POS Adoption by Micro, Small, and Medium Enterprises in Jakarta Using Unified Theory of Acceptance and Use of Technology Model

The purpose of this study is to examine the behavioral intention/actual behavior of adoption of Mobile Kasir Point of Sale (Moka POS) users using Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Micro, Small, and Medium Enterprises (MSME) have a major contribution to the Indonesian economy, especially MSMEs in Jakarta as an economic center of the nation. During the pandemic, MSMEs are increasingly aggressive in optimizing the use of digital technology in accounting such as Moka POS. The research method is a survey using electronics questionnaires to MSME owners in Jakarta who are using Moka POS. The data analysis technique used a Structural Equation Model (SEM) with the Smart Partial Least Square (PLS) software approach. The result shows that performance expectancy, effort expectancy, and social influence have a positive effect on behavioral intention, and behavioral intention also has a positive effect on actual behavior to use the Moka POS. Meanwhile, facilitating conditions did not positively affect actual behavior to use the Moka POS. This study contributed theoretical and practical contributions to behavioral accounting. Keywords: Micro, Small, and Medium Enterprises, Moka POS, Unified Theory of Acceptance and Use of Technology.

A Machine Learning-Based Novel Energy Optimization Algorithm in a Photovoltaic Solar Power System

Performance, cost, and aesthetics are all difficult to beat in today’s expanding distributed rooftop solar sector, and flat-plate PV is no exception. Photovoltaics will be able to take advantage of some of their most significant advantages as a result of this marketplace, including the elimination of transmission losses and the generation of power at the point of sale. Concentrated photovoltaic (CPV) technology, on the other hand, represents a viable alternative in the quest for ever-lower normalised energy costs and ever-shorter energy payback times. Material, components, and manufacturing techniques from allied sectors, particularly the power electronics industry, have been adapted to lower system costs and time-to-market for the system under development. The LFR is less than 30 mm wide to maximise thermal efficiency, and a densely packed cell array has been used to maximise electrical output. The Matlab simulations show that the proposed machine learning-based LFR technique has a greater concentration rate than the present LFR method, as demonstrated by the results.

Risk-Based Post-Marketing Surveillance (RB-PMS2) of Antimalarial and MNCH drugs in Mali (PY2)

Background and Objectives: The advent of multi-source generic drugs has exacerbated the prevalence of drugs and the spread of counterfeit and sub-standard drugs requiring increased vigilance and collaboration from drug regulatory authorities. Post-marketing surveillance (PMS) of medicines therefore plays an important role in detecting poor quality products on the market. Risk-Based Post-Market Surveillance (RB-PMS) RB-PMS helps optimize resource utilization and create sustainable post-market surveillance programs that are integrated and implemented as a key regulatory function. Methods: The survey concerned points of sale identified by a Technical Working Group in certain geographical areas according to risk-based approaches applied in the selection of the type of drugs to be targeted. It took place from September to December 2021 and aimed to assess the quality of antimalarial and MNCH medicines. Results: A total of 320 samples were taken and analyzed according to a risk-based protocol, of which 306 were compliant with a rate of 96% against 14 were non-compliant or 4% (P≤0,05). Non-compliant drugs were from both the public and private sectors. We found that 84% of drugs were unregistered among which antimalarials were the least registered drugs with a rate of 66% against 34% for MNCH drugs and came mainly from India and China. Conclusion: The RB-PMS allows the optimization of health resources in LMIC. In view of its scientific nature, this sampling and analysis technique must be made permanent to ensure health and guarantee access to quality medicines for the health and well-being of populations.

Ghost production: applying the Servuction model to establish a typology and propose a research agenda for on-demand restaurant food delivery

PurposeThe rapid growth in volume and value of on-demand restaurant food delivery, accelerated by the COVID-19 pandemic, is causing a paradigm shift in the food service sector. However, there is a lack of hospitality management research into this emerging phenomenon. To address this gap, this paper defines and develops a novel conceptual model and typology and proposes a research agenda for ghost production in the context of food service.Design/methodology/approachThis paper uses the Servuction model to explore, define and model the radical separation between food service production sites, points of sale and consumer interaction from the perspective of on-demand restaurant food delivery. A novel typology is developed and illustrated with eight industry examples from the UK and an accompanying cost benefit analysis. Future research priorities are identified.FindingsIn the hospitality literature, little attention has been paid to changes on-demand restaurant food delivery brings to production and business models of food service organisations, resulting in significant gaps between food service practice and theory. The knock-on effects to stakeholders include increased convenience for customers, uncertain employment status of riders and, for restaurants, striking a balance between capturing new markets and losing control of the customer. Additionally, for aggregators, there is a lack of profitability in existing models, despite holding the balance of power (and data).Originality/valueThe concept of “ghost production” and its associated typology is novel and offers a contribution to hospitality management literature by defining the term, scope and scale of this new phenomenon. Practical implications are proposed.

Fluctuation in Grocery Sales by Brand: An Analysis Using Taylor’s Law

In recent years, Taylor’s law describing the power function relationship between the mean and standard deviation of certain phenomena has found an increasing number of applications. We studied the characteristics of Taylor’s law for branded product sales using point-of-sale (POS) data for brands sold in 72 grocery stores in the Greater Tokyo area. A previous study found that product sales follow Taylor’s law with a scaling exponent of 0.5 for low sales quantities and 1.0 for large sales quantities. In the current study, we observed Taylor’s law with cross-over for 54 product brands and estimated the value of the two coefficients in the theoretical curve to characterize the cross-over. The coefficients represent the fluctuations in the number of items purchased per consumer and the number of consumers in one store and in all stores. The estimated coefficients suggested the dependence of the features of Taylor’s law on the category to which the brands belong. We found that brands in the same category tend to share similar features under Taylor’s law. However, some brands exhibited specific features that differed from others in the same category. For example, for many brands in the Laundry Detergent and Instant Noodles categories, the number of customers purchasing the products in each store fluctuated significantly, whereas the number of purchased items per customer varied widely in the Japanese Tea category. In the coffee category, our results indicated that the degree of fluctuation in the number of purchasing customers largely depends on the brand.

The Impact of Sharing Drug Rebates at the Point of Sale on Out-of-Pocket Payments for Enrollees in Employer-Sponsored Insurance

ObjectivesThis study aimed to estimate the impact of sharing drug rebates at the point of sale on out-of-pocket spending by linking estimated rebates to administrative claims data for employer-sponsored insurance enrollees in 2018. MethodsWe applied the drug rebate rate to the retail price of each brand name drug fill, allocated the reductions to out-of-pocket spending based on cost-sharing provisions, and aggregated each individual’s out-of-pocket spending across drug fills. We assumed that generic drugs have no rebates for employer-sponsored insurance. We assessed the impact of sharing rebates at the point of sale on out-of-pocket spending overall, for the therapeutic classes and specific drugs with the highest average out-of-pocket spending per user, and by health plan type. ResultsAcross 4 simulations with different assumptions about the degree of cross-fill effects, we found that 10.4% to 12.2% of enrollees in our sample would have realized savings on out-of-pocket spending if rebates were shared to the point of sale. Among those with savings, approximately half would save $50 or less, and 10% would save > $500 annually. We calculated that a premium increase of $1.06 to $1.41 per member per month among the continuously enrolled, insured population would be sufficient to finance the out-of-pocket savings in our sample. ConclusionsOur study suggests that, for a small percentage of enrollees, sharing drug rebates at the point of sale would likely improve the affordability of high-priced brand name drugs, especially drugs that face significant competition.

Consumer knowledge and acceptance of advanced driver assistance systems

This research aimed to examine how personal car users are informed about Advanced Driver Assistance Systems (ADAS) in Australia, and the extent to which information received at point of sale influenced the level of understanding and adaptation of ADAS. Further, this study applied the Technology Acceptance Model (TAM) to assess drivers’ intentions to use ADAS within the next month. Participants were required to have purchased a new or second-hand vehicle within the past five years and which had at least one of the following five ADAS: autonomous emergency braking, lane departure warning, adaptive cruise control, blind spot monitoring, and rear cross traffic alert. Participants (N = 217, Mage = 47.87 years, 149 male) completed a 20-minute online questionnaire. The findings revealed that 122 (56%) participants reported not seeking out any information about ADAS prior to purchasing their vehicle. Further, the most reported approaches used by participants to learn about their vehicle’s ADAS were through the owner’s manual (n = 121, 55%) and via trial and error (n = 117, 54%). It was also found that total time spent with the salesperson in explaining ADAS features did not influence drivers’ level of understanding of ADAS or number of days to adapt to the ADAS in their vehicle. However, and consistent with the TAM, perceived usefulness and perceived ease of use were significant positive predictors of intentions to use ADAS within the next month. It was also found that participants who learnt about these technologies either via reading the owner’s manual, trial and error, or a verbal explanation at point of sale appeared to be more frequently classified as reporting higher acceptance of ADAS than those participants who did not use those learning methods. Given that technology in vehicles will continue to advance, it is vital that more work is conducted to educate drivers about the functionality of ADAS. Further, it is also important to communicate where buyers of personal cars can go and find accurate and reliable information about ADAS.

Association of Tobacco Advertising, Promotion, and Sponsorship (TAPS) exposure on smoking intention and current smoking behavior among youth in Indonesia

ABSTRACT Background This study aimed to assess the association of Tobacco Advertising Promotion and Sponsorship (TAPS) exposure on smoking intensity and smoking behavior among youth in Indonesia. Method This study used secondary data from the Global Youth Tobacco Survey (GYTS) 2019. The participants were secondary students from grades 7 to 12. We used multiple logistic regression to assess the association of TAPS exposure with smoking intention among smokers and current smoking status. Results More than half of participants (64,54%) reported being exposed by TAPS in television, followed by outdoor media (60,82%) and point of sales (55,45%). About 2.27% of 7,679 nonsmoking participants had the intention to smoke cigarettes. Furthermore, TAPS exposure in sports events, music concerts, community gatherings, or social events, being offered free tobacco products, owning the tobacco industry’s merchandise, and receiving vouchers of cigarettes discounts was associated with the smoking intention of nonsmokers and current smoking status. In addition, a significant association was found between TAPS exposure in television, the internet, and print media with current smoking status among youth in Indonesia. Conclusions TAPS exposure was significantly associated with smoking intention and smoking behavior among youth in Indonesia. Therefore, we recommended that the government ban TAPS in any form.

Implications of Online Payment Modes on Purchase Behaviour of Students at Baze University, Abuja-Nigeria

The paper investigated the implications of online payment modes on the purchase behaviour of students at Baze University, Abuja. Three research objectives and three research questions guided the study. The study adopted a descriptive survey research design. The population consisted of 600 students of Baze University, Abuja. The sample size of 234 students was used for the study, using the Krejeie and Morgan (1970) sampling size determination Table Technique. The data collection instrument was a structured questionnaire titled: “Online Payment Modes and Students’ Purchase Behaviour Questionnaire (OPMSPBQ)”. Test-retest method of reliability was used to obtain the internal consistency, showing an index of 0.78. Data collected were subjected to descriptive statistics, using the Statistical Package for Social Sciences (SPSS) version 25 software. The study discovered among others that; credit/debit card mode, Point of sales (pos) mode and mobile banking system mode were the most frequently used online payment modes by students of Baze University, Abuja. The online payment mode is convenient for students, it saves students time in handling cash meant for the purchase of goods and services. Network errors and the high cost of internet access relative to students’ income were challenges of online payment modes for students of Baze University, Abuja. The researchers recommended among others that the management of Baze University, Abuja including Banks and other finance houses should erect basic infrastructure that can support different online payment modes to prevent cases of network errors and there should be an adequate security measure to prevent illicit alteration of payment data by students or pay agents. Keywords: University Students: Online Payment Modes: Purchase Behaviour: Internet Sources: Nigeria.

Contribution of Financial Innovations to Money Demand: A Case of Kenyan Financial Market

Purpose: This study sought to assess how financial innovation has affected demand for money in Kenya. 
 Methodology: The research looked at the value of transactions made using modern innovations including ATMs, point-of-sale (POS), online banking, and phone banking. Under the cointegration, granger causality, and error correction modeling, the study used the ordinary least squares (OLS) regression methodology as the estimate method.
 Findings: Financial innovation, according to the study, has an important role in growing money demand in a country by enhancing financial visibility, facilitating financial processes during trades, and enhancing financial competence. Financial system innovation in emerging nations such as Kenya indicates a potential for financial sector expansion. Financial innovation has shown to be a fundamental predictor of financial advancement, high-tech expansion, efficient financial market access, and hence better economic growth via the diversity of financial facilities.
 Conclusion: Financial innovation has resulted in the development of employment opportunities in non-bank financial institutions. It has also led to integration of commercial bank, non-bank private lenders, insurance firms, and housing finance firms.
 Recommendations: This study recommend the central bank of Kenya (CBK) to fine-tune its policies to ensure it is well suited to deal with the challenges posed by sophisticated financial innovations. CBK can increase its capability to predict the consequences of financial innovations and act quickly to counter any negative effect of financial innovation on the effectiveness of monetary policy. The study also recommend company and organizations managers to adopt financial innovations in order to boost service quality through efficient and quick service provision via innovations like mobile and online payment systems.

Hygienic Quality of Mutton Grills Sold on the Outskirts of the Streets of Korhogo Town

In Korhogo town, there is a proliferation of places selling grilled meats. Also, controlling contamination of meat by pathogenic germs and toxic compounds is a major challenge for actors in the sector. It is in this context that a study was conducted to assess the hygienic quality of mutton grills sold on the outskirts of the streets of Korhogo town. To do this, a survey was conducted among sellers to describe the preparation and storage methods of mutton grills. Then, at points of sale, observations were made on the environment, equipment, raw material, method and workforce in order to assess the hygiene of mutton grills preparation. After that, the microbiological quality of mutton grills was assessed by looking for TMAF, faecal coliforms, S. aureus and Salmonella spp. Finally, the benzo[a]pyrene (BaP) content in mutton grills was estimated through a cooking test. The survey revealed that the majority of mutton grills sellers (60%) cooked the meat over an ember fire and stored the unsold grills at room temperature in basins or baskets. In most of the sale places visited (83.33%), the sellers did not comply with the principle of separating “clean” and “dirty” areas. Microbiological analysis showed that unpackaged mutton grills had better microbiological quality compared to mutton grills packaged in recovery paper, which served as a cement bag. However, the mutton grills overall quality was unsatisfactory in most cases (66.67%). The main microorganisms incriminated in the unsatisfactory quality of mutton grills were S. aureus (53.67%) and faecal coliforms (51.67%). Furthermore, the cooking test indicated that mutton cooked over an ember fire had a BaP content above the recommended maximum limit (2 µg/kg). Considering the results above, the mutton grills sold on the outskirts of the streets of Korhogo town would present a risk of food toxi-infection and poisoning for consumers. These results must be taken into account in order to carry out preventive actions, such as

The impact of the COVID-19 pandemic outbreak on the sustainable development of the Turkish banking sector

This study tries to investigate the development in the banking sector by considering the correlation values before and after March 2020 including the COVID-19 pandemic period in the case of Turkey. However, the full influence of the pandemic will take place in the long term. The number of banks in Turkey, the number of domestic/foreign branches, the number of deposit/participation banks, the volume of the financial sector in gross domestic product (GDP), the number of personnel working in banks, the total number of savings deposits of banks, the total amount of savings deposits of banks, the total number of automatic teller machines (ATMs)/point of sale (POS) owned by the banks, and their relations with the data of the number of establishments are the members of the bank. In Spearman’s correlation, these will be reviewed in the course of correlations. As a result of the analysis, a high level of positive correlation was detected in most of the variables, while an admirable level of positive correlation was determined between the two variables.

Selling electric vehicles: Experiences from vehicle salespeople in Sweden

Electric vehicles are capturing ever larger market shares of the new vehicle market in several large vehicle markets such as Europe and China. However, electric vehicles still only make up a small fraction of the total vehicle fleet. Much research has been focused on the perspective of existing or prospective adopters of Electric Vehicles. Less emphasis has been placed on intermediaries such as vehicle salespeople, who could be important mediators in the product matching process by providing helpful information, facilitating direct experience and directly influencing vehicle buyers' adoption decisions. This paper addresses this research gap using a qualitative investigation of vehicle salespeople at OEMs who sell both Electric Vehicles and Internal Combustion Engine Vehicles on the Swedish market. Fifteen interviews with vehicle salespeople at leading OEMs were conducted in the fall of 2017. The results reveal that the sales process of vehicles is mainly focused on the sales of Internal Combustion Engine Vehicles. Electric Vehicles are treated as niche products which often require the vehicle buyer to initiate the sales process. It can be concluded that OEMs, dealerships and vehicle salespeople have taken relatively few steps to influence mainstream buyers to consider Electric Vehicles as an alternative to Internal Combustion Engine Vehicles at the point of sale. Possible reasons for the bias towards Internal Combustion Engine Vehicles can be found in the apparent lack of training and experience regarding Electric Vehicles among vehicle salespeople, more extended sales and delivery times for Electric Vehicles and a commission structure that often favours Internal Combustion Engine Vehicles.

Digitalising food manufacturing

Digitalising food manufacturing

Assessing the effect of new data sources on the consumer price index: a deterministic approach to uncertainty and sensitivity

Abstract One of the greatest challenges facing official statistics in the 21st century is the use of alternative sources of data about prices (scanned and scraped data) in the analysis of price dynamics, which also involves selecting the appropriate formula of the price index at the elementary group (5-digit) level. When consumer price indices of goods and services are constructed, a number of subjective decisions are made at different stages, e.g. regarding the choice of data sources and types of indices used for the purpose of estimation. All of these decisions can affect the bias of consumer price indices, i.e. the extent to which they contribute to the overall uncertainty about the resulting index values. By measuring how robust consumer price indices are, one can assess the impact that the decisions made at the different stages of index construction have on the index values. This assessment involves analysing uncertainty and sensitivity. The purpose of the study described in the article was to determine how much and in which direction the consumer price index changes when including scanner and scraped data in the analysis, in addition to the data on prices collected by enumerators. The impact of these new data sources was assessed by analysing uncertainty and sensitivity under the deterministic approach. To the best of the authors’ knowledge, it is a novel application of robustness analysis to measure inflation using new data sources. The empirical study was based on data for February and March 2021, while scanner and scraped data about selected categories of food products were obtained from one retail chain operating hundreds of points of sale in Poland and selling products online. It was found that the choice of a data source has the most significant impact on the final value of the index at the elementary group level, while the choice of the aggregation formula used to consolidate different data sources is of secondary importance.

Analysis of Coffee Product Packaging Development Based on Consumer Preferences Using the Quality Function Deployment (QFD) Method of Budi UMKM in Luwu Regency

Purpose: The purpose of this study is to find out what attributes are the needs of consumers in the development of coffee product packaging. Attributes are the needs of consumers in the development of coffee product packaging.
 Design/methodology/approach: This study uses the Quality Function Deployment (QFD) method to analyse the Development of Budi's MSME Coffee Packaging Products in Luwu Regency Based on Consumer Preferences.
 Findings: The result of this study is the attributes that are the needs of consumers in the development of coffee product packaging, namely there are 12 attributes, which must be fulfilled in producing quality coffee product packaging, the resulting packaging product is a standing pouch-shaped packaging that uses a combination of cream and brown colours, packaging label design in the form of stickers and packaging sizes vary. The brand position and logo are placed on the front of the packaging and product information on the back of the packaging.
 Research limitations/implications: Respondents in this study were consumers who consumed coffee products. The implementation stage of QFD only reached product packaging planning (house of quality), packaging costs were not discussed in this study and did not involve costs in this study.
 Originality/value: Coffee is one of the plantation crops that has long been cultivated in Indonesia and holds an important part for the national economy as one of the export commodities. So packaging becomes very important because it becomes an interagency with consumers, therefore the packaging must be able to provide a spontaneous impression that affects the positive actions of consumers at the point of sale. The packaging used in UMKM Budi still uses ordinary plastics that are still not in demand by consumers and coffee product packaging does not have clear information about products so it is less marketable and difficult to compete in the market.

Prevalence and Antimicrobial Resistance of Campylobacter spp. Isolated from Broilers Throughout the Supply Chain in Valencia, Spain.

Campylobacter is a major foodborne pathogen and its antimicrobial resistance (AMR) has been described worldwide. The main objective of this study was to determine the occurrence and AMR of Campylobacter spp. isolated from broilers throughout the supply chain in Valencia, Spain. A total of 483 samples were included in the analysis: 430 from the slaughterhouse (chicken carcass and neck skin) and 53 from the point of sale (retail broiler and packaging). Taking into account the origin of the sample, the prevalence of Campylobacter spp. was 19% in carcass, 28.2% in neck skin, 36.7% in retail broiler, and 80% in packaging isolates. The prevalence of different species in the analyzed samples was 21.1% and 4.8% for Campylobacter jejuni and Campylobacter coli, respectively. AMR profiling of 125 Campylobacter isolates revealed that 122 (97.6%) of the isolates were resistant to one or more antimicrobials. C. jejuni samples presented high resistance to nalidixic acid and ciprofloxacin, 96.1% and 90.2% respectively, whereas C. coli showed 87% of resistance to both antimicrobials. Both species were resistant to tetracycline (C. jejuni 84.3% and C. coli 60.9%) and 26.1% of C. coli was resistant to streptomycin. These results showed no significant difference in the frequency of AMR (p ≥ 0.05) among isolates originated from different points in the food-processing chain at slaughterhouses and retail establishments. In contrast, three main patterns were detected: quinolone-tetracycline (64%), quinolone-only (17.6%), and quinolone-tetracycline-aminoglycosides (8%). Additionally, 12.8% of the isolates presented multidrug resistance, with significantly higher levels detected among C. coli (30.4%) isolates compared with C. jejuni (8.8%) and all the three strains were resistant to all six antibiotics tested. Therefore, these results indicate that broilers could be a source of antimicrobial-resistant Campylobacter in humans and consequently pose a risk to public health.