Grocery Sector Research Articles

RANCANG BANGUN USER INTERFACE DAN USER EXPERIENCE APLIKASI SEMBAKO BERBASIS WEB PADA TOKO G-STAR MENGGUNAKAN METODE HUMAN CENTERED DESIGN

The advancement of information and communication technology (ICT) has notably impacted various sectors, including trade. For grocery stores, effective User Interface (UI) and User Experience (UX) design are vital to ensure technology is user-friendly across different groups. This research applies the Human-Centered Design (HCD) method to develop the UI and UX for the G-Star grocery store web application, focusing on user needs, preferences, and contexts to create an intuitive interface. The research process includes stages such as user needs analysis, prototype design, usability testing, and iterative design based on feedback. Initially, user needs were identified through interviews and surveys, which guided the creation of application prototypes. These prototypes were then tested for usability, and feedback was used to refine and improve the design. The findings demonstrate that HCD principles enhance UI and UX, leading to higher customer satisfaction and loyalty. Implementing HCD improves user efficiency and convenience, contributing positively to the G-Star grocery store's performance. This research provides valuable insights for technology development in the grocery sector and offers practical guidance for designers and developers, encouraging the use of HCD in similar projects.

Perceptions of customer-facing digital technology: a qualitative interview study from grocery retail

Purpose The purpose of this study is to provide in-depth knowledge on customer-facing technology and customer experience in the grocery retail sector, including how the value-added potential of customer-facing technologies may be enhanced. Design/methodology/approach The analysis is based on 30 in-depth interviews with “early adopters” of customer-facing digital retail technologies in the Norwegian grocery sector. Theoretically, the study draws on notions of the customer journey and customer experience. Findings The study contributes to deepening insights concerning how digital retail technology is used and may be geared to further increase value for customers, specifically how retailers may use data on customers and products to personalize digital retail technology offerings and gain a competitive advantage. The findings underline how customer value is context-dependent and show that while grocery retail customers primarily emphasize utilitarian benefits related to customer-facing technologies, hedonic benefits are valuable biproducts. Moreover, the study showcases how personalization is key in addressing customers’ needs and wants, and may serve to increase the overall value of customer-facing technologies for customers and retailers. Originality/value The study’s sector-specific focus on technology in use contributes to enhance knowledge on how digital retail technologies can be leveraged to the benefit of customers and retailers, including customers’ sector-specific needs and wants.

Human Resource Strategies Foster Knowledge Sharing to Improve Operational Excellence in Thailand's Grocery Retail Sector

This study explores the impact of human resource strategies on knowledge sharing and its subsequent effect on operational excellence within the retail grocery sector. Six hypotheses were formulated to assess the influence of various HR practices, including incentives, performance evaluation, training and development, recruitment, and reciprocity, on knowledge sharing. A sample of 500 employees, holding at least a bachelor's degree and having a minimum of one year of tenure, was drawn from the top ten revenue-generating grocery retail manufacturing firms. The questionnaire's reliability was ensured through a pilot test involving 50 participants, evaluating the Item-Objective Congruence (IOC) index and employing Cronbach's Alpha for reliability assessment. The study employed a combination of judgmental, convenience, and snowball sampling techniques. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were employed for data analysis and hypothesis testing. Results indicate that performance evaluation, training and development, recruitment, and reciprocity significantly affect knowledge sharing. Additionally, knowledge sharing has a subsequent effect on operational excellence. Nevertheless, a relationship between incentives and knowledge sharing were not supported. This study contributes to the understanding of HR strategies in fostering knowledge sharing and its implications for operational excellence in the grocery retail sector.

Machine Learning-Based Sales Prediction and Inventory Management for Grocery Stores

In today's competitive grocery retail environment, effective inventory management coupled with precise sales prediction is pivotal for success. This research undertakes an in-depth exploration into a machine learning framework tailored for "Sales Forecasting and Inventory Optimization in Grocery Retail." Utilizing historical sales records, meteorological data, and consumer behavior metrics, the proposed model endeavors to predict nuanced seasonal demand fluctuations. The primary value proposition of this approach lies in its capacity to curtail wastage, ensuring the balance between overstocking and inventory stockouts. By recognizing and adjusting for seasonal dynamics, the system offers enhanced demand fulfillment during high-demand periods. The subsequent refinement of the replenishment cycle fosters superior operational efficacy. As an outcome, businesses witness cost reductions, augmented profit margins, and elevated consumer contentment due to consistent product availability. As the broader grocery sector undergoes transformation, embedding sophisticated machine learning strategies can be a linchpin for sustained adaptability and competitiveness. This research further underscores the role of emergent technologies, such as machine learning within the IoT spectrum, in reshaping supply chain and communication paradigms. The endeavor here is to curtail lifecycle expenses in the supply chain by refining inventory practices. The research introduces a Deep Inventory Management (DIM) technique, employing the LSTM paradigm of deep learning. Through DIM's innovative approach, time-series challenges are reimagined as supervised learning tasks, enabling efficient model training. Preliminary tests indicate DIM's prediction accuracy hovers around 80%, translating to an impressive 25% reduction in inventory expenses when juxtaposed with prevailing methods, alongside rapid anomaly detection in inventory activities

Current Trends in Online Grocery Shopping

The convenience and accessibility of online shopping have revolutionized the retail industry, with online grocery shopping experiencing significant growth in recent years. This research paper explores the current trends in online grocery shopping, focusing on key factors driving its popularity and the challenges it faces. By analyzing consumer behavior, technological advancements, and market dynamics, this study aims to provide valuable insights into the evolving landscape of e-commerce within the grocery sector. The research delves into the shifting preferences of consumers towards online grocery shopping, emphasizing the convenience, time-saving benefits, and extensive product range offered by digital platforms. Furthermore, it examines the impact of changing lifestyles, especially in urban areas, on the rising demand for online grocery services. The study also addresses the crucial role of data analytics and AI-driven technologies in enhancing the customer experience and optimizing supply chain management for online grocery retailers. Moreover, the paper investigates the challenges associated with online grocery shopping, including issues related to delivery logistics, product quality, and customer satisfaction. It discusses strategies adopted by online retailers to overcome these challenges and build trust among consumers. Additionally, the research highlights the competitive landscape of the online grocery market, analyzing the strategies employed by key players to stay ahead in this rapidly evolving industry.

Consumers’ Marketing Channel Choice and the Impact on Logistics and Operations: A Systematic Literature Review of the Fresh Food and Grocery Sector

Background: Diverse marketing channels have been developed with the advent of digitalization. In the fresh food and grocery retail sector, consumers may have a large choice of channels to shop from. In this case, an analysis of their behavior is crucial for retailers. Therefore, the present paper provides a state-of-the-art review of existing papers dealing with consumers’ channel choice when buying groceries. Methods: A systematic literature review (SLR) is performed following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) procedure, identifying 36 research papers published in the last decade. Results: The results present the principal methodologies adopted by the analyzed research papers to address this topic, along with the various channels available to consumers to date. Other important outcomes of this review include the main variables that can affect consumer choice when deciding between the available channels and the limitations of the analyzed papers, along with suggestions for future research directions to address these limitations. Conclusions: This paper discusses the essential effects of consumers’ channel choice on the logistics and operation services of grocery retailers. It also provides an integrative framework linking the influencing factors of consumer choice with outcomes directly impacting grocery retailers’ logistics services.

Machine Learning-Based Sales Prediction and Inventory Management for Grocery Stores

In today's competitive grocery retail environment, effective inventory management coupled with precise sales prediction is pivotal for success. This research undertakes an in-depth exploration into a machine learning framework tailored for "Sales Forecasting and Inventory Optimization in Grocery Retail." Utilizing historical sales records, meteorological data, and consumer behavior metrics, the proposed model endeavors to predict nuanced seasonal demand fluctuations. The primary value proposition of this approach lies in its capacity to curtail wastage, ensuring the balance between overstocking and inventory stockouts. By recognizing and adjusting for seasonal dynamics, the system offers enhanced demand fulfillment during high-demand periods. The subsequent refinement of the replenishment cycle fosters superior operational efficacy. As an outcome, businesses witness cost reductions, augmented profit margins, and elevated consumer contentment due to consistent product availability. As the broader grocery sector undergoes transformation, embedding sophisticated machine learning strategies can be a linchpin for sustained adaptability and competitiveness. This research further underscores the role of emergent technologies, such as machine learning within the IoT spectrum, in reshaping supply chain and communication paradigms. The endeavor here is to curtail lifecycle expenses in the supply chain by refining inventory practices. The research introduces a Deep Inventory Management (DIM) technique, employing the GradientBoostingRegressor paradigm of machine learning. Through DIM's innovative approach, time-series challenges are reimagined as supervised learning tasks, enabling efficient model training. Preliminary tests indicate DIM's prediction accuracy hovers around 85%, translating to an impressive 15% reduction in inventory expenses when juxtaposed with prevailing methods, alongside rapid anomaly detection in inventory activities

Race, Socioeconomic Status, and Food Access in Two Predominantly White Cities: The Case of Lansing, East Lansing, and Surrounding Townships in Michigan

Access to fresh, healthy, affordable foods is a pressing concern in cities worldwide. American cities are no exception. Although many scholars study food access in large cities, small and mid-sized American cities can provide valuable information about inequities in the food system. This paper focuses on two adjoining, racially mixed Mid-Michigan cities—Lansing and East Lansing. It examines the extent to which different food outlets exist in the cities and surrounding townships. It probes the following questions: (1) How are food outlets distributed throughout the cities and suburbs? (2) What is the relationship between neighborhood demographic characteristics and the distribution of food outlet types? We collected data on food outlets from September 2020 to June 2022 using Data Axle as our primary source of information. We used ArcGIS 10.8.1 for the spatial mapping and SPSS 28 for statistical analyses. We conducted regression analyses to identify the difference in the likelihood of finding food retailers in census tracts where 0–20% of the residents were People of Color (VL-POC), 20.01–40% of the inhabitants were People of Color (L-POC), 40.1–60% of the residents were People of Color (H-POC), and more than 60% of residents were People of Color (VH-POC). There were 1647 food outlets in the study area: 579 were in Lansing, 220 were in East Lansing, and the remaining 848 were in the surrounding townships. Restaurants dominated the food landscape, while small groceries and convenience stores were the grocery sector’s most common food outlet types. Supermarkets and large grocery stores comprised only 5.6% of the study area’s food outlets. The study finds a nonlinear relationship between the racial composition of census tracts and the prevalence of food outlets. The VH-POC census tracts had very few food outlets. For instance, the tracts had no supermarkets, mass merchandisers or supercenters, small grocery or convenience stores, pharmacies or drug stores, or farmers’ markets. The findings illustrate the diversity and complexity of the Lansing–East Lansing metropolitan area’s food landscape.

Sustainability ambassadorship - the role of the store manager in development of in-store sustainability communication

ABSTRACT The food industry, in general, and the retail grocery sector, in particular, have gone through an extensive transformation regarding sustainability communication. The retail grocery store is the stage on which in-store sustainability communication is triggered and incentivized. This paper focuses on the role of the store manager and is guided by the purpose to explore what roles and functions a store manager may perform as sustainability ambassador, and in what ways the dynamics between the central and store level may influence how sustainability is reflected and communicated in the retail store. The study draws on a qualitative and interpretative approach. The empirics are based on interviews with retail store managers in three Swedish grocery retailers. Through our empirical investigation, six different actions have been identified that both separately and in combination contribute to the field by giving a more nuanced view of what role and functions a store manager may perform as sustainability ambassador.

Links connecting conflict management behaviors, job satisfaction and innovation performance in the retail grocery sector in Turkey

Links connecting conflict management behaviors, job satisfaction and innovation performance in the retail grocery sector in Turkey

The servitization of innovation in the retail grocery sector: The case of Mercadona

The servitization of innovation in the retail grocery sector: The case of Mercadona

Impact of Advancement in Information Technology in Enhancing Relationship Marketing Strategies used by SMEs in the Grocery Sector, Zimbabwe

The growth in Information Technology has re defined marketing strategies, leading to the development and the extinction of the old marketing practices. The old marketing practices had always led to many Small to Medium Enterprises (SMEs) fail to prioritise marketing as they deemed it expensive and required many protocols to be followed before implementation of the strategy. The continuous evolution of various information technology systems has of late threatened the existence of a human being in the marketing career as the carrier is swiftly being dominated by electronic devices that can effectively be commanded to interact and respond to consumer queries promptly. To date they are conflicting views on the effect of adopting information technology in the marketing discipline. The researcher seeks to validate whether information technology can enhance the up sage implementation of relationship marketing or it has come to destroy the intimate human relations consumers have with firms in the grocery sector in Zimbabwe. The researcher adopted a survey approach in data gathering and interviews were used, convenience sampling was done mainly on SMEs in Harare selected suburbs in the grocery sector. The study was informed by Hill (2006) customer loyalty stages. The major target sample of SMEs was 25, however upon conducting 19 interviews, data saturation was reached and no further data was collected. The findings from the study indicated that advancement in information technology has created many marketing platforms firms use to embrace relationship marketing although the media has failed to sustainable convert the consumers into advocates and has also led firms to lose some of its old customers who are generally technology laggards. The research recommends blending of both traditional and digital information technology based marketing platforms to ensure sustainable relationships between the company and its customers. This is based on the findings that many firms have of late abandoned traditional relationship marketing platforms only relying on virtual relations where culturally in Zimbabwe a relationship is made concrete when parties meet physically.

Grocery omnichannel perishable inventories: performance measures and influencing factors

PurposePerishable inventory management for the grocery sector has become more challenging with extended omnichannel activities and emerging consumer expectations. This paper aims to identify and formalize key performance measures of omnichannel perishable inventory management (OCPI) and explore the influence of operational and market-related factors on these measures.Design/methodology/approachThe inductive approach of this research synthesizes three performance measures (product waste, lost sales and freshness) and four influencing factors (channel effect, demand variability, product perishability and shelf life visibility) for OCPI, through industry investigation, expert interviews and a systematic literature review. Treating OCPI as a complex adaptive system and considering its transaction costs, this paper formalizes the OCPI performance measures and their influencing factors in two statements and four propositions, which are then tested through numerical analysis with simulation.FindingsProduct waste, lost sales and freshness are identified as distinctive OCPI performance measures, which are influenced by product perishability, shelf life visibility, demand variability and channel effects. The OCPI sensitivity to those influencing factors is diverse, whereas those factors are found to moderate each other's effects.Practical implicationsTo manage perishables more effectively, with less waste and lost sales for the business and fresher products for the consumer, omnichannel firms need to consider store and online channel requirements and strive to reduce demand variability, extend product shelf life and facilitate item-level shelf life visibility. While flexible logistics capacity and dynamic pricing can mitigate demand variability, the product shelf life extension needs modifications in product design, production, or storage conditions. OCPI executives can also increase the product shelf life visibility through advanced stock monitoring/tracking technologies (e.g. smart tags or more comprehensive barcodes), particularly for the online channel which demands fresher products.Originality/valueThis paper provides a novel theoretical view on perishables in omnichannel systems. It specifies the OCPI performance, beyond typical inventory policies for cost minimization, while discussing its sensitivity to operations and market factors.

From purchase to pantry – exploring archetypes and strategies in the context of e-grocery fulfilment

ABSTRACT Fulfilment is a key driver for the digitalisation of the grocery sector and thus a major source of value creation. Although value creation is contingent on a multiplicity of contextual factors, extant research has mainly explored fulfilment in the generic realms of e-commerce and does not provide empirically grounded insights into the collective interplay of fulfilment attributes. Because e-grocery features unique exigencies and trade-offs that require non-generic theorisation, a functional and cross-domain perspective is required to comprehend the role of fulfilment in creating value in this sector. Following a multi-method approach, this paper combines a literature review with an empirical investigation of 111 e-grocers to produce three main outcomes. First, a conceptually-grounded and empirically-refined taxonomy to capture important decision attributes of e-grocery fulfilment. Second, six archetypes to indicate common combinations of these attributes. Third, a contingency model to disclose value relationships between attributes and outcome performance. Our results contribute to the body of knowledge on e-grocery value creation as well as the explanatory understanding of operational configurations and digital transformation conditions in this industry.

Customer Behavioral Trends in Online Grocery Shopping During COVID-19

The evolution of online shopping started when big players like Amazon began selling all types of merchandise. Customers understood the ease of shopping online, so the trend grew even stronger. It is therefore essential to conduct a study of online shopping usage and the perception of customers during COVID-19, especially in the grocery sector. In this study, approximately 28 respondents from 50 specifically targeted groups were surveyed, and data collection was undertaken through a structured questionnaire. The regression method was conducted to analyze the collected data. Additionally, 5 interviews were conducted to validate and support the findings. Customers definitely preferred online grocery shopping (OGS) services during COVID-19 due to safety, convenience, and government restrictions. The influential factors were very important in this case, like delivery times, good discounts, and the quality of products. Secondly, OGS services were more stable and alert during the pandemic situation, following the government's rules and restrictions. Customers were extremely satisfied with the safety precautions during COVID-19, the assistance provided through helplines for support, and the increased customer reach to make groceries as accessible as other reputable online departments.

The great new shopping idea: introducing self-service retailing in the British Isles

ABSTRACT There is a consensus that self-service shopping began in earnest in the British Isles in the late 1940s, following experimentation undertaken within the co-operative movement during the Second World War. This paper proposes that the novelty of these co-operative installations has been overstated. It reveals that self-service was implemented in the catering, womenswear and grocery sectors in the 1920s and 1930s. These three realms of trading, more than any others, provided opportunities for British retailers and consumers to experience the modus operandi of the self-service system, smoothing the way for its pragmatic acceptance at a time of national hardship. It is argued here that self-service formed part of the allure of American culture that pervaded British retailing between the wars. The co-operative installations of the early-to-mid 1940s are reinterpreted as the resumption of this existing trend, rather than as a new departure, albeit modified by challenging trading conditions. This shift in understanding has repercussions for analyses of the knowledge transfer and reception of self-service in the 1940s. The paper concludes by examining why self-service grocery retailing, having faltered in the 1920s and 1930s, took off around 1948, emphasising the proselytising role of American manufacturers and suppliers.

Impact of E- Payment on Retail Grocery Shops (With Reference to Nagpur City)

The paradigm shift in the mode of carrying out business from the physical to digital has brought about a change in the payment system. The Retail grocery sector has been completely transformed by digital technologies, and consumers' payment expectations now are very different from what they were simply a few years ago. Stores now run the risk of slipping behind the competition if they don't change to satisfy these changing expectations. When e-payments were introduced in the country Indian population was mostly unaware of these systems so they hesitated to accept them. After the demonetization move of the Indian government, people gained faith in the payments methods, and acquired new skills as most of them were being promoted by the government. The government started promoting the digital payment through its Digital India mission. In this research the researcher included retail grocery shops. The study was done in Nagpur city; the sample size is 100 who use e- payments methods. The main objective of the study is to find out the advantages and problems faced b the retail grocery shops in the e-payments system. The result shows that there is no association between the usage of e-payments and the age of the customers. The study even found that there is no association between problems of e- payments and the age of the customers

A comparison of characteristics between food delivery riders with and without traffic crash experience during delivery in Malaysia

The rapid development of e-commerce and the spread of the COVID-19 virus created many new jobs opportunity including food delivery riders known as P-Hailing riders. The number of food delivery riders has increased drastically, especially in Malaysia. Consequently, the number of food delivery riders involved in traffic crashes also increased. This study aimed to examine the characteristics of food delivery riders involved in traffic crashes during delivery and to compare with the characteristics of food delivery riders without any traffic crash history. This paper explores and compares general characteristics, previous experience of working and receiving traffic tickets, and knowledge of road safety. Due to unavailable official records about the number of active food delivery riders in Malaysia, this study focuses on riders who registered as members of the Malaysian P-Hailing Association, PENGHANTAR. A total of 225 food delivery riders participated in the online survey conducted through Google Form. Categorical data analysis techniques were used to examine the different characteristics of food delivery riders with and without traffic crash experiences. Results show that the odds ratio of young and full-time riders are respectively about 2.05 times and 1.79 times higher than being involved in traffic crashes. Other factors that increase the odds of being involved in traffic crashes include having more than two years of experience in delivery, an average distance travelled of>100 km a day, working previously in the food and grocery sector, and without working experience. The findings from this study will help related agencies to design and develop awareness programs targeting this group of riders.

Exploring customer concerns on service quality under the COVID-19 crisis: A social media analytics study from the retail industry

The COVID-19 pandemic has triggered a set of government policies and supermarket regulations, which affects customers' grocery shopping behaviours. However, the specific impact of COVID-19 on retailers at the customer end has not yet been addressed. Using text-mining techniques (i.e., sentiment analysis, topic modelling) and time series analysis, we analyse 161,921 tweets from leading UK supermarkets during the first COVID-19 lockdown. The results show the causes of sentiment change in each time series and how customer perception changes according to supermarkets’ response actions. Drawing on the social media crisis communication framework and Situational Crisis Communication theory, this study investigates whether responding to a crisis helps retail managers better understand their customers. The results uncover that customers experiencing certain social media interactions may evaluate attributes differently, resulting in varying levels of customer information collection, and grocery companies could benefit from engaging in social media crisis communication with customers. As new variants of COVID-19 keep appearing, emerging managerial problems put businesses at risk for the next crisis. Based on the results of text-mining analysis of consumer perceptions, this study identifies emerging topics in the UK grocery sector in the context of COVID-19 crisis communication and develop the sub-dimensions of service quality assessment into four categories: physical aspects, reliability, personal interaction, and policies. This study reveals how supermarkets could use social media data to better analyse customer behaviour during a pandemic and sustain competitiveness by upgrading their crisis strategies and service provision. It also sheds light on how future researchers can leverage the power of social media data with multiple text-mining methodologies.

Last-mile logistics of perishable products: a review of effectiveness and efficiency measures used in empirical research

PurposeCurrent online business development redistributes last-mile logistics (LML) from consumer to retailer and producer. This paper identifies how empirical LML research has used and defined logistic performance measures for key grocery industry actors. Using a multi-actor perspective on logistic performance, the authors discuss coordination issues important for optimising LML at system level.Design/methodology/approachA semi-systematic literature review of 85 publications was conducted to analyse performance measurements used for effectiveness and efficiency, and for which actors.FindingsFew empirical LML studies exist examining coordination between key actors or on system level. Most studies focus on logistic performance measurements for retailers and/or consumers, not producers. Key goals and resource utilisations lack research, including all key actors and system-level coordination.Research limitations/implicationsCurrent LML performance research implies a risk for sub-optimisation. Through expanding on efficiency and effectiveness interplay at system level and introducing new research perspectives, the review highlights the need to revaluate single-actor, single-measurement studies.Practical implicationsNo established scientific guidelines exist for solving LML optimisation in the grocery industry. For managers, it is important to thoroughly consider efficiency and effectiveness in LML execution, coordination and collaboration among key actors, avoiding sub-optimisations for business and sustainability.Originality/valueThe study contributes to current knowledge by reviewing empirical research on LML performance in the grocery sector, showing how previous research disregards the importance of multiple actors and coordination of actors, efficiency and effectiveness.