Store Managers Research Articles

Purpose: The aim of this study was to find out the influence of modern inventory control techniques on supply chain performance of retail stores in Kisii Town. Methodology: The study adopted a cross sectional study design. The unit of analysis for this study was 83 stores managers of the retail stores. Purposive sampling was be used to select the samples for the study. The study made use of questionnaires to collect primary data. A pilot test was conducted to test the reliability and validity of the data collection instruments. SPSS software program was used to facilitate data processing and analysis. Descriptive and inferential statistics were used to analyze quantitative data. Findings: The findings indicated that economic order quantity inventory control technique, re-order point, fixed stock levels and FSN analysis techniques positively influenced supply chain performance of retail stores in Kisii Town. Unique Contribution to Theory Practice and Policy: The study recommended that management of retail stores should use the inventory control techniques to only store what was being required in the production process but to enhance the overall store performance.

The idea of how sensory cues impact consumers’ buying behavior towards bakery products has received little consideration in the past. However, there is little research related to how emotional state mediates the relationship between sensory cues and consumer buying behavior. This study aims to find out the impact of sensory cues on the buying behavior of consumers in retail settings. This study will help retail store managers make effective decisions related to choosing and applying sensory cues and selecting appropriate retail store attributes to create a unique shopping experience. To explain the relationship between the sensory cues and the buying behavior of consumers, the mediating variable Emotional State is used, and Store Environment Attributes is used as a moderating variable. Data is collected through a questionnaire from 200 bakery store customers using a convenience sampling technique from 2 cities: Faisalabad and Jhang, Punjab, Pakistan. For the analysis of the collected data, Partial Least Squares Structural Equation Modeling (PLS-SEM) is applied as the research is exploratory. Our findings provide a new understanding that both sensory cues and retail store attributes are necessary for positive buying behaviour of the customers. The study provides evidence to the retailers that to lead the customers toward positive buying behavior through sensory cues, they must put focus on their emotional state.

Inventory management can help store owners manage their product inventory over time. This isimportant to avoid the potential for stock shortages which could give the impression of the shopowner's inability to meet consumer demand. In this regard, the owner of the Toko Istana PlastikManado Store aware of the need to migrate from traditional inventory management to informationtechnology-based inventory management. It is hoped that with this migration, manual practicessuch as recording stock using books and collecting data on daily sales transactions using MicrosoftExcel worksheets, can be integrated. Apart from that, differences between the stock of goods in thewarehouse and the inventory records can be avoided. In other words, documentation of goodsentering and exiting the warehouse and in the store is neat and the information provided has muchhigher accuracy. The proposed solution is an integrated inventory management informationsystem between warehouses and stores. This proposed information system can also help with dailyoperational activities including selling and purchasing goods. With this information system, it ishoped that safety stock conditions can be achieved to anticipate indirect losses due to lack of stock.The research was conducted using qualitative research methodology. Meanwhile, systemdevelopment follows the Rapid Application Development (RAD) methodology, especially thePrototyping method. The results of testing using the black-box method show that the web-basedinventory management information system that was built can provide more accurate informationon goods in and out than the manual system. For further development, this system can be equippedwith features providing stock status information through the creation of an online shop as well asinstant notifications for warehouse managers regarding requests for goods from store managers.

The saw-toothed grain beetle (Oryzaephilus surinamensis L.) is a common pest that causes problems by infesting stored grains, leading to considerable post-harvest losses in both the quantity and quality of grains. Although conventional chemical insecticides are effective, they pose serious threats to environmental health and human safety because of their residual toxicity and potential to induce resistance in target pests. In response to these concerns, the present study evaluated the efficacy of selected plant extracts, Neem (Azadirachta indica), garlic (Allium sativum), eucalyptus (Eucalyptus spp.), and peppermint (Mentha piperita), as sustainable alternatives for managing O. surinamensis infestations in stored wheat grains. Laboratory bioassays were conducted to assess contact toxicity, repellency, and feeding deterrence at varying concentrations (2%, 4%, and 6%) over different time intervals. The findings indicated that neem extract and eucalyptus extract had the greatest insecticidal effect that causing the greatest reduction in mortality of the beetles. Feeding damage to the beetles showed a great potential as insecticidal repellents. There was an intermediate level of activity of garlic and peppermint on all parameters. These results imply that botanical insecticides made using the native plants can also be enjoyed as eco-friendly and valuable methods of pest management in the grain stores. This research will be useful in developing the current understanding of the benefits of sustainable pest management practices and facilitating the use of plant-based bioactive compounds as a substitute for synthetic chemicals.

This study explores the readiness of Micro and Small Enterprises (MSEs) in Mexico, specifically grocery stores, to implement the Virtual Value Chain (VVC) through Information and Communication Technologies for Development (ICT4D). A mixed-methods approach was used, combining diagnostic tools, structured surveys, and interviews. Quantitative data were analyzed using descriptive statistics, correlation analysis, and machine learning to identify digital adoption patterns. The results indicate that limited technology adoption remains the main obstacle to VVC integration. Significant associations were found between digital engagement and the age and educational level of store managers. Key digital gaps persist in inventory control, supplier coordination, and demand forecasting. Although machine learning models did not significantly outperform baseline predictions on willingness to adopt technology, the findings emphasize the potential of targeted training and accessible mobile solutions. The study proposes a new diagnostic and predictive framework to assess VVC readiness in low-resource contexts. It shows that ICT, when strategically aligned with business operations and paired with adequate training, can enhance sustainability and livelihoods. Although the study is limited to one geographic area and one business sector, it offers a foundation for scaling similar initiatives. The findings support context-sensitive strategies and capacity-building efforts tailored to the realities of MSEs in emerging economies.

The rapid development of information and communication technology has significantly transformed marketing strategies from conventional methods to digital marketing. This transformation offers great opportunities for entrepreneurs, including vocational high school students, to develop online businesses. SMKN 48 Jakarta, particularly in the Online Business and Marketing department, has strong potential in this field; however, many students still lack adequate knowledge and skills in effectively applying digital marketing strategies. This Community Service Program (PKM) aims to provide training and mentoring for 67 students of SMKN 48 Jakarta through participatory and educational methods, including literacy-based socialization, hands-on training, interactive discussions, and learning outcome evaluations. The training materials cover fundamental concepts of digital marketing, the use of social media, creative content creation, and online store management. The results indicate an improvement in students’ understanding and skills in utilizing digital platforms for business development, as well as increased entrepreneurial motivation. This program is expected to make a tangible contribution to producing young entrepreneurs who are creative, competitive, and adaptive to technological advancements.

The purpose of this study is to understand how small and medium-sized enterprises (SMEs) use intuitive decision-making in times of crisis. The study was conducted among retailing SMEs in Sweden. In total, 28 store managers were interviewed in 2021, while the COVID-19 pandemic was still ongoing. Thus, the COVID-19 pandemic forms an important context for this paper. Theoretically, the paper draws on intuitive decision-making, complemented by literature on crisis and organisational resilience (OR). The study finds that intuitive decision-making was common, particularly at the beginning of the pandemic—with store managers employing creative and problem-solving approaches to intuitive decision-making. The study thereby contributes to research on intuitive decision-making in a crisis context as well as to an understanding of the resilience of stores.

As globalization increases, more international brands are entering China. China has rich cultural deposits and a complex consumption structure. China is a market of opportunities and challenges for international fast-food brands growing globally in a uniform manner. fast-food the article analyzes KFC's localization path in China by standardization and localization strategy theory, meaning transfer theory for product development, advertising communication, store management, and digital marketing. The study compares McDonald's strategy in China to understand how different brand localization depth influences its market performance. Results show that KFC has built a strong local brand identity through flexible localization decision-making, cultural context communication strategy, and deep integration with the Chinese digital platform. This paper also mentions the possible problems, such as the weakened global brand image, the increasing cost control, and the difficulty in replicating local experience. Combining theory and practice, this paper aims to provide a reference for international brands in culturally heterogeneous markets such as China.

This research aims to design and build a web-based syar'i clothing inventory information system at Umama Gallery Yogyakarta. The background of this research is based on the problem of inventory management which has been done manually, which often causes obstacles such as delays in stock information, potential recording errors, wasted paper, and difficulties in preparing inventory reports quickly and accurately. To overcome these problems, a web-based information system was developed by referring to the Software Development Life Cycle (SDLC) Waterfall model, which includes the stages of planning, needs analysis, design, implementation, and testing. Research data was obtained through interviews with store managers and literature studies to support the analysis and design of the system. The implementation results show that the inventory information system built is able to simplify the process of recording and monitoring inventory in real-time, thereby helping to reduce the potential for recording errors and speeding up the reporting process. In addition, this system also reduces dependence on physical documents, making it more environmentally friendly and efficient in the use of resources. Available features include data management of goods, suppliers, users, incoming and outgoing goods transactions, and user account management. The integration of these features supports comprehensive inventory management, improves operational efficiency, and facilitates management in making accurate, data-driven decisions. With this system, Umama Gallery Yogyakarta has gained an effective, reliable, and integrated tool to support smooth operations and more modern and professional inventory management. Similar systems have the potential to be implemented in similar businesses to improve inventory management quality and competitiveness in the digital age.

Abstract This study examined the relationships between frontline employees’ (FLEs’) shared perceptions of service-oriented high-performance work systems (SO-HPWSs), work engagement, and service climate. It also investigated how these shared perceptions related to store managers’ assessments of FLEs’ collective in-role and extra-role service performance, customer satisfaction, and store loyalty in the same retail chain. Data were collected from 781 FLEs, 70 store managers, and 803 customers from 70 stores in the same retail chain. Findings showed that SO-HPWSs predict work engagement and service climate; work engagement predicts service climate; and service climate predicts in-role and extra-role service performance and customer satisfaction.

With the development of network technology, more and more Internet companies have sprung up, and this paper takes Meituan platform as an example to study the strategic motivation of digital platform enterprises for diversification and expansion. The results show that in the start-up stage, the main motivation for the diversified expansion of enterprises is to open up the market and improve the user and merchant experience. In the period of rapid growth, relying on strong financial support, mainly to improve the user volume and user stickiness; During the stable period of the platform, the company already has strong offline store resources and management experience, as well as advanced distribution positioning technology, based on a large number of original users, strong market share has led to the bottleneck of enterprise user growth and slowed down the growth of interests.

This study examines the impact of a replenishment recommendation system on inventory management in convenience stores. We collaborate with a convenience store chain to implement the system in some locations while leaving others unchanged. We find that the introduction of the system increases reorder points and reduces order size, leading to a 2.9% improvement in service levels without requiring additional inventory and without negatively affecting sales or revenue. Additionally, it reduces managers’ daily ordering time by 36.5%, thus enhancing overall store efficiency. Our study also highlights the important role of managerial discretion in complementing the system. For popular items, managers often adjust recommendations by placing orders ahead of any recommendations or increasing the recommended quantity. Interview with managers suggests that they override in anticipation of demand increases that the system has yet to detect. For non-popular items, given their slow-moving nature, managers are more likely to postpone recommendations due to concerns over excess inventory. Our study demonstrates that, for small retailers without the resources to invest in advanced algorithms, even a basic moving average algorithm can be effective by allowing managerial discretion to complement the algorithm in responding to demand fluctuations. This also underscores the need to enhance recommendation accuracy for both top-selling items, given their significant contribution to sales, and the typically overlooked less-popular items due to their slow-moving nature.

Aim:The aim of this study is to examine the impact of Green Intelligence (GI) and Artificial Intelligence (AI) Adoption on Sustainable Marketing Strategies (SMS) in supermarket chains across India’s National Capital Region (NCR). It also seeks to assess the extent to which GI and AI tools are integrated into retail operations for advancing sustainability. Methodology:A quantitative research design was employed using a structured questionnaire distributed to 415 respondents working in various supermarket chains within the NCR. The respondents included store managers, marketing executives, department heads, and operations personnel. The study used a 5-point Likert scale to measure variables under three major constructs: Green Intelligence, AI Adoption, and Sustainable Marketing Strategies. Statistical Methods:The data were analyzed using Descriptive Statistics, Cronbach’s Alpha for reliability testing, Correlation Analysis, and Multiple Regression Analysis to test the proposed hypotheses. Normality, skewness, and kurtosis were also examined to validate data distribution assumptions. Results:The findings revealed that both GI and AI Adoption have a positive and statistically significant relationship with Sustainable Marketing Strategies (p < 0.001). All sub-constructs, including Green Data Analytics, Eco-Conscious Decision-Making, Predictive Analytics, and AI-Based Sustainability Tracking, showed strong correlations with SMS (r = 0.46 to 0.62). The regression models demonstrated high explanatory power (Adjusted R² = 0.486 for GI and 0.451 for AI). Descriptive results further confirmed widespread adoption of sustainable practices and technologies among supermarket chains in the NCR. Originality/Value:This study is among the first to empirically link Green Intelligence and AI Adoption with Sustainable Marketing in the context of organized retail in India. It contributes to the theoretical discourse on sustainable innovation and provides practical recommendations for integrating AI tools into environmentally responsible marketing strategies.

The rise of digital marketing has the potential to reshape consumer engagement and business strategies, particularly in rural retailing, where traditional marketing methods often dominate. This study examines the transformative and communicative impact of digital marketing in rural retailing, with a focus on Flagstaff, South Africa. A quantitative approach was employed, with questionnaires personally administered to retail store operators and management, achieving a response rate of 86.54% from the forty-five responses received out of the fifty-two distributed. Statistical analyses, including chi-square tests and factor analysis, were conducted using SPSS 27.0 to validate the data. The findings indicate that digital marketing plays a crucial role in transforming and sustaining retail businesses by enhancing brand perception, influencing consumer behaviour, and facilitating effective communication. To maximise these benefits, rural retailers should transform their operational strategies to effectively leverage online platforms for improved customer engagement. Additionally, policymakers should support local businesses through resources and training initiatives. Local communities also need to be supported through the development of infrastructure that enhances digital connectivity, ensures a reliable electricity supply, and provides access to devices. Workshops or informational campaigns aimed at improving digital literacy would also be beneficial for enhancing the diffusion of digital innovation in rural areas. This study provides valuable insights into how digital marketing can transform rural retailing, offering important implications for both practitioners and researchers.

This study aims to determine the work productivity of employees at the Colorbox Sun Plaza Medan store, a local fashion retailer serving the young women’s segment. The research employs a descriptive qualitative method with a case study approach. Data were obtained through in-depth interviews with five informants, comprising one Store Manager, one Supervisor, and three employees. The results show that employee productivity is measured by sales target achievement, display area compliance, minimal inventory losses, and positive customer feedback. Factors affecting productivity include work motivation, operational management systems, task allocation, and a supportive work environment. Although overall productivity is satisfactory, challenges such as low visitor traffic and weak supervision in the fitting room area were identified. Therefore, enhancements in motivation, training, and the strengthening of supervisory systems are needed to ensure sustained improvements in work productivity.

Visually appealing product arrangement plays a crucial role in influencing consumer purchase interest. Visual merchandising is a marketing strategy that focuses on arranging products in stores aesthetically and strategically to attract customer attention, create an enjoyable shopping experience, and encourage impulsive buying. This study aims to enhance the attractiveness of Al-Amin Weleri store through training on visual product arrangement. The training involves demonstrations, hands-on practice, and evaluations to help store managers understand the fundamental principles of visual merchandising, such as product grouping, color usage, lighting, and effective layout arrangement. The results of the activity indicate an improvement in the managers’ understanding and skills in arranging products, which positively impacts consumer purchase interest. By implementing better visual arrangements, Al-Amin Weleri store is expected to enhance its competitiveness and attract more customers.

Aldy Jaya Store is a business that sells various necessities such as food, fishing equipment, fish supplies, and bird supplies. Currently, the store does not have a transaction recording system or stock management, which results in difficulties in obtaining sales reports and often disappoints customers due to the lack of real-time stock information. Therefore, this research aims to design a web-based cash register application that can effectively record sales transactions and monitor stock items, to facilitate reporting and store management. The development of this application uses the Secure Software Development Life Cycle (S-SDLC) approach, which includes identifying security needs, designing a secure system, developing protected code, testing security, implementing applications, and maintaining security. The results from the development show that this cashier application is capable of improving operational efficiency and maintaining data security. Through the implementation of data classification and role-based access control, this application not only serves as a recording tool but is also able to protect data from threats, maintain information integrity, and ensure optimal system availability.

In the era of increasingly rapid digitalization, the need for efficient and integrated business management is becoming increasingly important. Companies that are able to manage data systematically and in real-time have a competitive advantage in facing market competition. Alma Jati Mebel Pati, as a business actor in the furniture industry sector, faces challenges in the operational management process, such as manual transaction recording, non-centralized stock management, and difficulties in making fast and accurate sales reports. This study aims to develop and implement a web-based furniture store management information system to improve the efficiency and effectiveness of the company's operations. This system is built using the Waterfall method which consists of several stages, namely needs analysis, system design, implementation, and testing. The technologies used include PHP as a programming language, MySQL as a database management system, Laravel as a backend development framework, and Bootstrap for a responsive and user-friendly interface. This system is equipped with main features such as recording sales and purchase transactions, product stock management, and financial report generation. Testing was carried out using the Black Box Testing method to ensure that the system's functionality runs according to user needs. The test results show that all features function properly without significant errors. In addition, the usability test conducted on users resulted in a satisfaction rate of 85%, indicating that the system is easy to use and helpful in daily work processes. With this system, Alma Jati Mebel is expected to optimize business management more effectively, efficiently, and integrated.

Robot anthropomorphic characteristics have not only been widely manifested in production practices, but their positive effects on human–robot interaction have also been investigated and validated in academic research. Nonetheless, existing research has not adequately addressed the potential adverse effects of robot anthropomorphic characteristics. To gain a more comprehensive understanding of their influence, this study introduces a dual-edged sword effect model based on cognitive-experiential self-theory. Specifically, we posit that robot anthropomorphic characteristics can empower employees with perceived relational energy, thereby reducing anti-robot sabotage. However, they may also heighten employees’ perceived job threat, potentially resulting in more anti-robot sabotage. Furthermore, we argue that employee openness to experience amplifies the indirect effects of these characteristics on employees’ anti-robot sabotage through perceived relational energy, while mitigating those mediated by perceived job threat. Empirical evidence supporting our hypotheses was gathered through a paired field study involving 622 employees and their store managers, illustrating how robot anthropomorphic characteristics shape employee perceptions and subsequent actions. This research contributes to a deeper understanding of robot anthropomorphic characteristics and holds significant practical implications for anthropomorphic robot implementation.

Introduction: The rapid growth of modern retail in Indonesia, such as Indomaret and Alfamart, has created major challenges for the sustainability of traditional grocery stores. This condition demands empowerment so that grocery stores are able to survive and adapt in the midst of increasingly competitive retail competition. One form of intervention in empowering grocery stores is the Sampoerna Retail Community (SRC) program, an initiative of PT HM Sampoerna Tbk. This program aims to improve the welfare of business actors, which in an Islamic perspective can be studied through the maqashid sharia approach. This study aims to analyze how the implementation of the SRC program impacts the performance of grocery stores in Ponorogo Regency from maqashid sharia perspective. Research Methods: The research method used is field research with a qualitative approach. Data were collected through interviews, observations, and documentation. To ensure the data validity, triangulation sources and techniques was used. The informants in this study include eight SRC store owners and a SRC coach. Results: The research findings show that SRC program, which focuses on three main aspects (store management, digitalization, and improved accessibility), is able to bring positive changes to grocery stores in economic, social and psychological aspects. However, the implementation has not been fully optimized, especially in digitalization aspect, which is influenced by the culture of shopkeepers and the activeness of the program assistants. Conclusion: The SRC program contributes positively to the welfare of the fostered store owners, which is marked by improved store performance and is in line with maqashid sharia. Although the program does not directly integrate sharia principles, it still reflects sharia values, such as justice, helping, and social welfare.