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Journal articles on the topic 'Retail industry'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 September 2023

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1

Dinesh. E, Dinesh E., and Dr T. Vetrivel Dr. T. Vetrivel. "ERP in Retail Industry." International Journal of Scientific Research 2, no. 2 (June 1, 2012): 229–30. http://dx.doi.org/10.15373/22778179/feb2013/76.

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Plazibat, Ivana, and Mario Dadić. "Contemporary Issues in Retail Industry." Journal of Corporate Governance, Insurance, and Risk Management 4, no. 2 (November 30, 2017): 44–53. http://dx.doi.org/10.56578/jcgirm040203.

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With regard to both the consumer behavior and the overall competition structure, the retail industry is constantly changing. Each industry has its peculiarities, retail is no exception. The customer loyalty levels are decreasing, therefore, the retail management at large has to decide which effective measures to take, in order to simultaneously gain new customers and retain the existing ones. At present, the average buyer is educated, experienced, and keenly self-aware of his/her importance, as well as of the entire purchasing process. Consequently, it is essential to obtain access and keep the buyer satisfied. The changes required, with regard to the management of retail chains, should thus cover all the stages of the process, ranging from the procurement to sales. In this particular paper, we examine the corporate governance process and its’ requirements of competing on the retail market. The overview of the entire organizational structure and the processes required to operate under current retail management conditions will be analyzed. The findings will prove to be quite beneficial to Croatian retail companies and aid in overcoming the major threat of EU competitors, laying out the changes necessary for survival within this particular industry branch.
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S, Jayanthy, Velanganni R, and Santhosh Kumar G. "FDI Impact on Retail Industry." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (September 25, 2019): 243–47. http://dx.doi.org/10.5373/jardcs/v11/20192563.

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Burrell, Darrell Norman, Orna T. Bradley-Swanson, Amalisha S. Aridi, and Eugene J. Lewis. "The Organizational and Social Complexities of Managing and Retaining Generation Z Employees in the United States Retail Industry." International Journal of Public Sociology and Sociotherapy 2, no. 1 (January 2022): 1–14. http://dx.doi.org/10.4018/ijpss.297202.

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U.S. Retail Industry employed 4,528,550 retail salespersons, as stated by the United States Bureau of Labor Statistics, Occupational Employment Statistics (2017). Tang, Liu, Oh, and Weitz (2014) assert that even though retail is the second largest industry in the United States, the retail stores’ employee turnover rate remains a staggering 60% for full-time employees. Gaining a better understanding of how to reduce turnover in this industry could be of significant value to organizations related to business sustainability and labor costs management. Generation Z represents people born in the 1990s and represents one-third of the U.S. population, a significant potential workforce (Fuscaldo, 2020). For the retail industry to flourish, it needs to hire, develop, and retain Generation Z employees. The study uses qualitative focus group research to discover applied human resources and talent management workplace leadership applications by exploring the ideal organizational culture and approaches to recruit and retain Generation Z employees.
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Tokatli, Nebahat, and Yonca Boyaci. "The changing retail industry and retail landscapes." Cities 15, no. 5 (October 1998): 345–59. http://dx.doi.org/10.1016/s0264-2751(98)00030-4.

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6

A. Karthikeyan and Dr. M. Sadhika Sultana. "Consumer Preferences of Organised Retail Outlet in Coimbatore District." Management Journal for Advanced Research 2, no. 4 (August 31, 2022): 35–40. http://dx.doi.org/10.54741/mjar.2.4.5.

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Retail industry is an important source of self employment in India since a long ago. As change is the important rule of the environment. So, today, we can also see a drastic change in the retail industry too. Today, retail industry has been segregated into two parts i.e. unorganized retail industry and organized retail industry. Unorganized retail industry includes traditional kirana stores which are not registered and have not to follow any bulk of legal formalities. Organized retailing is the retailing in which the retail shop is centrally run by the registered retailer with few employees providing comfort and self service facility to the customers which attract the customers towards it. Besides, all the facilities provided by the organized retailers, customers are still attracted towards unorganized retailers too. There are different facilities and services available to the customers in unorganized retailing and organized retailing. The present study is an attempt to assess consumer preference and perception in organized retail outles in Coimbatore district.
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Dr. M. Rani, Dr M. Rani. "Retail Industry - A Sun Shine Sector." International Journal of Scientific Research 3, no. 1 (June 1, 2012): 222–24. http://dx.doi.org/10.15373/22778179/jan2014/73.

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Malar, Mercia Selva. "Industry 4.0 Transforming Global Retail Industry." Indian Journal of Computer Science 4, no. 1 (February 28, 2019): 19. http://dx.doi.org/10.17010/ijcs/2019/v4/i1/142414.

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Kumbhat, Astha. "Retail Industry and Apparel Retail: A Critical Review." International Journal of Management Studies VI, no. 1 (February 28, 2019): 20. http://dx.doi.org/10.18843/ijms/v6si1/03.

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Farhan, Tubagus Muhammad, and Miharni Tjokrosaputro. "Pengaruh kemasan terhadap kesadaran merek dan minat beli: Studi ikon Betawi pada oleh-oleh Jakarta." Jurnal Manajemen Bisnis dan Kewirausahaan 7, no. 2 (March 29, 2023): 400–409. http://dx.doi.org/10.24912/jmbk.v7i2.23364.

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This research was attempted to explore what factors are contributing to brand awareness and purchase intention of industries regional specialty food retailer product in Indonesia. The object of this research is the industries regional specialty food retailer product of Jakarta. The research method used is descriptive quantitative analysis and all sources of information are obtained from questionnaires distributed online through social media, namely WhatsApp with google form media. Data were analyzed using SmartPLS 3.29 by using data of 103 respondents who knows Oleh-oleh Jakarta Mpok Nini product. The result of the research show that of ethnic icon on product packaging have positive impact on brand awareness and purchase intention. The research provides insight to academics and regional retail industry about how to manage brand awareness and purchase intention of retail industry product in Indonesia and the results obtained in this study are that the ethnic icon packaging factor has a positive influence on brand awareness and buying interest. The advice given to this research for the regional specialty food retail industry is to improve simpler packaging as well as increase brand awareness and buying interest so that the product is easily recognized and makes consumers no longer consider buying the product. Penelitian ini berusaha untuk mengeksplorasi faktor-faktor apa yang berkontribusi terhadap kesadaran merek dan minat beli produk retailer makanan khas daerah di Indonesia. Objek penelitian ini adalah industri retailer makanan khas Jakarta. Metode penelitian yang digunakan adalah analisa kuantitatif deskriptif dan seluruh sumber informasi diperoleh dari kuisioner yang dibagikan secara online melalui media sosial yaitu whatsapp dengan media google form. Data dianalisis menggunakan SmartPLS ver 3.29 dengan menggunakan data 103 responden yang mengetahui produk industri retailer makanan khas daerah. Hasil penelitian menunjukkan bahwa ikon etnik produk kemasan berpengaruh positif terhadap kesadaran merek dan minat beli. Penelitian ini memberikan wawasan kepada akademisi dan industri retail kedaerahan khususnya tentang bagaimana mengelola kesadaran merek dan minat beli terhadap produk industri retail di Indonesia dan hasil yang didapat pada penelitian ini adalah bahwa faktor kemasan ikon etnik memberikan pengaruh yang positif terhadap kesadaran merek dan minat beli. Saran yang diberikan terhadap penelitian ini untuk industri retail makanan khas daerah adalah agar meningkatkan kemasan yang lebih simpel juga meningkatkan kesadaran merek dan minat beli agar produk mudah dikenali dan membuat konsumen tidak lagi mempertimbangkan untuk membeli produk.
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Patil., Miss Avanti A., and Dr Kulkarni R. V. "A Review – Mobile App for Retail Industry." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-FIIIIPM2019 (March 20, 2019): 24–26. http://dx.doi.org/10.31142/ijtsrd23054.

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Janssen, Maarten, and Sandro Shelegia. "Beliefs and Consumer Search in a Vertical Industry." Journal of the European Economic Association 18, no. 5 (September 11, 2019): 2359–93. http://dx.doi.org/10.1093/jeea/jvz046.

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Abstract This paper studies vertical relations in a search market. As the wholesale arrangement between a manufacturer and its retailers is typically unobserved by consumers, their beliefs about who is to be blamed for a price deviation play a crucial role in determining wholesale and retail prices. The common assumption in the consumer search literature is that consumers exclusively blame an individual retailer for a price deviation. We show that in the vertical relations context, predictions based on this assumption are not robust in the sense that if consumers hold the upstream manufacturer at least partially responsible for the deviation, equilibrium predictions are qualitatively different. For robust beliefs, the vertical model can explain a variety of observations, such as retail price rigidity (or, alternatively, low cost pass-through), nonmonotonicity of retail prices in search costs, and (seemingly) collusive retail behavior. The model can be used to study a monopoly online platform that sells access to final consumers.
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Sternquist, Brenda, and Byoungho Jin. "South Korean retail industry: government’s role in retail liberalization." International Journal of Retail & Distribution Management 26, no. 9 (October 1998): 345–53. http://dx.doi.org/10.1108/09590559810237881.

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KAR, ANDREAS. "Retail Banking in the Contemporary Financial Environment." JOURNAL OF SOCIAL SCIENCE RESEARCH 9, no. 1 (October 12, 2015): 1792–95. http://dx.doi.org/10.24297/jssr.v9i1.3776.

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Which challenges does the retail banking industry face nowadays? Walking on the path of M. Porters theories, the author tries to open a window in the retail bankings present and future, the challenges the industry faces, the main forces that shape the competition, the strategies deployed in order to create a competitive advantage for the industry players, and a short prognosis for the industrys future
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15

Geevaratna. "Retail Gold Industry - Glittering Future." Adarsh Journal of Management Research 3, no. 1 (March 1, 2010): 25. http://dx.doi.org/10.21095/ajmr/2010/v3/i1/88367.

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16

Pantano, Eleonora. "Innovation drivers in retail industry." International Journal of Information Management 34, no. 3 (June 2014): 344–50. http://dx.doi.org/10.1016/j.ijinfomgt.2014.03.002.

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S., Dutta,, and Sandhane, R. "Digital transformation in Retail Industry." CARDIOMETRY, no. 24 (November 30, 2022): 859–66. http://dx.doi.org/10.18137/cardiometry.2022.24.859866.

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Radical changes in the business scene request that ventures relook their plans of action, include imaginative capacities, and plan to remember new goals. Getting by in an altogether veritable business network requirements other than the capacity to sell; searching for analyzing existing business structures for seeing bottlenecks, forming dynamically momentous structures for improving operational ability, and most blend of advances, approach and undertaking plans in the framework for the notable client experience. Purchasers have chosen to purchase decisions at the store, giving physical retailers extraordinary ability to get some answers concerning and sway practices and tendencies. With the ascent of web-based business, online shopping, and most as of late keen advancements, new contenders undermine this long-standing matchless quality. Accepting a value creation perspective, we separate how digitization started the breaking down institutional retailing as the basic interface to the customer. With individual shopping experience transforming into the best approach to improving customer experience, it is the perfect open door for retailers to move from ‘customer association’ with ‘ customer duty.’ Applications and corners are overriding pieces of the conventional shopping experience, calling for store conditions to advance. Furthermore, with a stretching out number of clients moving to online stages, retailers consider their essentials by prerequisite development models and improving shopping encounters overall touch-focuses and channels.
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Sumathi, K., Rina Khanum, and G. K. Supriya. "Employee Job Satisfaction at Organized Retails - An Analysis." Shanlax International Journal of Management 7, no. 4 (April 1, 2020): 36–43. http://dx.doi.org/10.34293/management.v7i4.2150.

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Employee job satisfaction is speaking about the happiness of employees towards their job. In the present competitive business scenario, the organizations are considered as a major strategy to attract and retain the employees. However, employee job satisfaction is very important to the service sector industry like organized retails, as the employees are regularly in touch with the customers. Moreover, many of the factors affect employee job satisfaction. Therefore the present study is an attempt to analyze policies and practices framed by the organized retail organizations to make their employees satisfied and the level of satisfaction of employees regarding those policies and practices. Also, the study exhibits the relationship between the demographic profile and job satisfaction of employees in the retail sector in the study area.
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19

Kasemsap, Kijpokin. "Retail Marketing Strategies and Brand Management." International Journal of Social and Organizational Dynamics in IT 5, no. 2 (July 2016): 66–78. http://dx.doi.org/10.4018/ijsodit.2016070106.

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This article aims to provide a critical review of the published literature related to retail marketing strategies and brand management in the global retail industry. The literature review covers the overview of marketing strategies; retail marketing strategies and technological utilization; international retail marketing strategies in the global retail industry; retail marketing strategies and internationalization; the challenges of retail marketing strategies in the fashion retail industry; the overview of brand management; and the significance of brand management in the global retail industry. Effective marketing is necessary to compete in the ever-growing worldwide retail industry sector. The improved retail profits are within reach with the purposeful retail marketing strategies. Brand management means defining the brand, positioning the brand, and delivering the brand. The literature review analysis provides both practitioners and researchers an important understanding about retail marketing strategies and brand management in the global retail industry.
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Chen, Chun-Miin (Jimmy). "A review and analysis of service level agreements and chargebacks in the retail industry." International Journal of Logistics Management 29, no. 4 (November 12, 2018): 1325–45. http://dx.doi.org/10.1108/ijlm-09-2016-0205.

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PurposeThe purpose of this paper is to examine service level agreements (SLAs) in the retail industry and uses empirical data to draw conclusions on the relationships between SLA parameters and retailer financial performance.Design/methodology/approachBased on prior SLA theories, hypotheses about the impacts of SLA confidentiality, choice of chargeback mechanisms and chargeback penalty on retailer inventory turnover are tested.FindingsRetailer inventory turnover could vary by the level of SLA confidentiality, and the variation of retailer inventory turnovers could be explained by chargeback penalty.Research limitations/implicationsThe research findings may not be readily applicable to SLAs outside of the retail industry. Also, most conclusions were drawn from publicly available SLAs.Practical implicationsThe significant relationships between SLA parameters and retailer inventory turnover imply that a retailer could improve its financial performance by leveraging its SLA design.Originality/valueNot only does this study contribute to the understanding of retail SLA design in practice, but it also extends prior theories by investigating the implications of SLA design on the retailer inventory turnover.
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Garber, M. P., and K. Bondari. "Retail Garden Outlets: Business Characteristics and Factors Affecting Industry Performance." Journal of Environmental Horticulture 16, no. 1 (March 1, 1998): 15–19. http://dx.doi.org/10.24266/0738-2898-16.1.15.

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Abstract A survey was conducted of retail garden outlets in Georgia which consisted primarily of traditional garden centers, feed and seed stores, and hardware stores. Plant material, for all types of retail outlets, represented the largest portion of retail sales followed by chemicals and fertilizers. The average annual retail store sales for all products was $344K, with plant material representing $111K. The survey population represented about $47M in retail plant sales and did not include mass merchants or chain garden centers. Individual consumers (87%) were the primary customers as compared to landscapers or other types of customers. Most plant material was sourced in-state (67%) and only about 3% was produced by retailers. The primary factors identified as having a potential negative impact on plant material sales were adverse weather (26%), competition from mass merchants (23%) and a slowing economy (22%). Most garden centers are open year round (74.5%) as compared to feed and seed (7.1%) or hardware (16.7%) stores. The most common consumer complaints regarding plant quality were identified. Retailer experience with the Georgia Gold Medal new plant program suggests that these programs can create pull-through sales.
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Rahah Hamidi, Saidatul, Muhammad Afiq Muhamad Yusof, Shuhaida Mohamed Shuhidan, and Shamsiah Abd Kadir. "IR4.0: unmanned store apps." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (March 1, 2020): 1540. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1540-1547.

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<span>The Internet of Things (IoT) is predicted to be one of the major megatrends in technology that applies worldwide including in Malaysia. Current advantages and expectations of using a connected device has become a reason to use applications in many areas, including the field of retail industry. The evolvement of technology has changed the retail landscape that replaces the manpower in their operations to improve the efficiency, quality and work ethics. Hence, this paper discussed comparative study of technology innovation applied and process flow in unmanned store from different country. Next, prototype of unmanned store apps was designed according to the most preferred technology based on the comparative study. IoT retailer model can be used to improve the retail experience for the customers. Thus, it may perform strategic marketing and gain retail intelligence. Besides, the revolution of using technology in this retail industry is contributing towards Industry 4.0 through digital transformation.</span>
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Ramdani, Luki, A. Fadel Muhammad, and Popy Rufaidah. "Strategic Group of Indonesia Retail Industry." Jurnal Ilmiah Ilmu Administrasi Publik 13, no. 1 (July 7, 2023): 413. http://dx.doi.org/10.26858/jiap.v13i1.48684.

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This research aims to produce a strategic group map of the retail industry in Indonesia at PT Sumber Alfaria Trijaya Tbk. A strategic group is a collection of companies in an industry with similarities in strategy implementation, the scope of operations, and the resources they use to win the competition. The research method used is the case study method, namely a series of scientific activities carried out in detail and depth to reveal an event and activity of an entity in order to gain in-depth knowledge about the event. This study explores strategic groups in the retail industry concerning the position of PT Sumber Alfaria Trijaya Tbk as one of the retail business players, including the supermarket and minimarket sub-sectors. The results of the study show a mapping of strategic groups in the retail industry in Indonesia using indicators of wide geographical coverage and the number of outlets owned by companies in the industry. The strategic group mapping of the Indonesian retail industry consists of sub-sectors: supermarkets and minimarkets (such as PT. Sumber Alfaria Trijaya Tbk), retail electronics (such as PT. Erajaya Swasembada Tbk); retail automotive (e.g., PT. Mitra Pinasthika Mustika Tbk); retail clothing and textiles (e.g., PT MapActivs Adiperkasa Tbk; and PT Mitra Adiperkasa Tbk).
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Martinus, Handy. "Analisis Industri Retail Nasional." Humaniora 2, no. 2 (October 31, 2011): 1309. http://dx.doi.org/10.21512/humaniora.v2i2.3193.

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Fast moving in retail industry is the latest trading industry in trading chain. The study is to identify the condition of retail industry in Indonesia. This uses normative juridical approach. The research material is gathered by literature or document review. The analysis for modern retail industry is conducted through qualitative, thus explaining law material gathered from library being selected, arranging systematically, and finally getting conclusion figured to answer problems related to the rules for monopoly and dysfunction business competition in retail industry. The study result showed that modern market, which so far having a good performance, will have challenges. One biggest challenge is the potential for slow-moving revenue growth as the effects of slow-moving economic caused by global crisis.
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Knezevic, Blazenka, Sanda Renko, and Nikola Knego. "CHANGES IN RETAIL INDUSTRY IN THE EU." Business, Management and Education 9, no. 1 (June 22, 2011): 34–49. http://dx.doi.org/10.3846/bme.2011.03.

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Retail is an important industry of each national economy. In the EU, it is an important source of employment and significantly contributes to the GDP creation. Moreover, almost one fifth of all companies are registered in retail industry. In the past decade, retail industry is changing from applying domestically oriented towards internationally oriented business strategies. The importance of large companies is this industry is growing, too. Retail trade concentration process is recognized in all EU countries. In this paper, some of prevailing trends in retail industry are analyzed and explained. The analysis includes EU countries and Croatia as EU candidate country.
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Yu, Kai. "Impact of Epidemic Situation on Retail Industry." Highlights in Business, Economics and Management 8 (April 11, 2023): 369–72. http://dx.doi.org/10.54097/hbem.v8i.7231.

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Since 2020,the sudden outbreak of the new crown epidemic has brought great influence on China's retail industry.It directly affects how much retail products are sold.People have little choice but to stay at home and are unable to go shopping.Additionally, there is psychologically far less of an inclination to spend, which has a direct impact on the number of retailers and purchasing power.The single offline and single online sales mode has been impacted,and the new retail mode of deep integration of online and offline has developed rapidly.This paper summarizes the benefits, shortcomings, challenges, and opportunities of the new retail industry under the current epidemic background and makes recommendations for the further development of the new retail industry based on an analysis of the current situation of the new retail industry in China.
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Connor, John M. "Evolving Research on Price Competition in the Grocery Retailing Industry: An Appraisal." Agricultural and Resource Economics Review 28, no. 2 (October 1999): 119–27. http://dx.doi.org/10.1017/s106828050000811x.

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With the end of the Supermarket Revolution in the 1970s, new forms of horizontal, vertical, and geographic competition have appeared to challenge the supremacy of the supermarket format. New retail formats like warehouse stores, supercenters, and fast-food outlets appear to affect local retail supermarket prices. Slotting allowances, coupons, and electronic data gathering have intensified retailer-manufacturer rivalry. Foreign direct investment offers the promise of new European-style management styles in U.S. grocery retailing.
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Khairurrahman, Ahmad Luthfi, Lilis Siti Badriah, Herman Sambodo, Dijan Rahajuni, Nunik Kadarwati, Hary Pudjianto, Oke Setiarso, Dedi Supriadi, and Rakhmat Priyono. "Informative Industrial Analytic for Effective Retail Business Performance: A Case of Emerging Economy." WSEAS TRANSACTIONS ON SYSTEMS 22 (March 7, 2023): 170–79. http://dx.doi.org/10.37394/23202.2023.22.16.

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This study analyzed the Indonesian retail industry’s structure, behavior, and performance in 2018-2020. It is essential because the potential of the retail industry in Indonesia is one of the most significant contributors to GDP and employment. Thus the retail industry has a very strategic role in the Indonesian economy. If a few companies dominate the market, it will become an obstacle for external companies to enter the retail industry, which can lead to a decline in the level of profits and the overall performance of the retail industry. This study aims to identify and analyze the structure, behavior, and industry performance of the retail industry in Indonesia in 2018-2020. This study uses data on public companies listed on the Indonesia Stock Exchange. The data were analyzed using CR4, industrial behavior, and Price Cost Margin analysis. The results show that the average value of CR4 in the Indonesian retail industry in 2018-2020 is 60.276%. It means the structure of the Indonesian retail industry is a tight oligopoly. This condition has led to several behaviors carried out by industry players in the retail industry in Indonesia to increase profits and expand their market share. These behaviors include product strategy (product differentiation), price strategy (second and third-level price discrimination), and promotion strategy. The overall performance of the Indonesian retail industry still needs to improve because the PCM value of the Indonesian retail industry in 2018-2020 is less than 50%. This study recommends that companies pay attention to strategies to increase their competitiveness. Government supervision is needed on business activities that are indicated to be too dominant in their position and make it difficult for new entrants to the retail industry in Indonesia. Companies also need to pay attention to production efficiency in their business, not only focusing on controlling market share so that the strategy can effectively create higher profits.
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Somjani, Avinash. "ENHANCING CUSTOMER RETENTION IN RETAIL INDUSTRY." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (March 10, 2021): 729–35. http://dx.doi.org/10.17762/itii.v9i1.193.

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With the pandemic grabbing up places all over the world, the decline in businesses, macro and micro, is inevitable. Among these businesses is the retail sector which plays an important role for any economy. Retail sector covers all the basic necessities that a human being needs. Retail sector is dependent on many factors that drive the sales of a company and the most vital one is the customer retention. With eruption of technology it is highly important to underscore the importance of social media and advanced technology. The main reason for that is the number of options the customers have. Due to this the switching cost is low. From the porter’s analysis, we can clearly conclude that the bargaining power of the buyer is high for most retail commodities. Many customers are loyal towards a brand because of the brand image, so it is highly important that a company fulfills its CSR programs in a way that can grab the attention of the customers and glue them to the brand. This brand image can also be connected to the store ambience. This study is based on various factors that are perceived by the customers as of value and how these factors can enhance the customer retention.
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Sharma, Aradhana, Ruchika Jain, and Neena Seth Pajni. "Risk Identification Techniques in Retail Industry." Journal of corporate governance, insurance and risk management 9, no. 1 (August 17, 2022): 201–14. http://dx.doi.org/10.51410/jcgirm.9.1.13.

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Purpose: The prime purpose of this paper is to analyze the risks associated with the retail industry and provide a overview of the risk identification techniques and tools. The paper also investigates the relationship between risk identification and risk management.Research Methodology: This paper is a conceptual paper and the methodology included a literature search. The present study is a literature review that examines available studies based on risk identification and its techniques in the retail business.Findings:Many risks have a high impact on the retail industry. Supplier uncertainty, change in the taste and preference of consumers, data security and threats, inventory risks, etc. all these types of risks are faced by the retail industry. Identifying these risks is a big challenge for the company. There are numerous risk identification techniques that companies can use to identify risks. Brainstorming, expert judgment, Delphi method, root-cause analysis, etc. techniques are discussed in this paper. Tesco plc applies the brainstorming, risk register and top-down and bottom-up approach to identify the risks. The findings of this study can be used as a case study of Tesco’s retail operation, which is based in and managed primarily in this specific area. Tesco’s decisions may contain some common tactics for identifying hazards, and some extremely unique ones.Practical Implications: Various corporations developed risk departments to identify and manage risks during the modernization and automation era. As a result, there is a demand for experts with specialized skills and experience in managing and assessing risk factors involved in the retail industry. These specialists’ job is to identify hazards and develop methods to protect the organization from them. This study will assist the risk managers or professionals of the retail industry to use the techniques of risk identification and assess the risks appropriately.
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Chatterton, P. F. "Multimedia computing in the retail industry." Information Services & Use 11, no. 5-6 (September 1, 1991): 337–44. http://dx.doi.org/10.3233/isu-1991-115-607.

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32

Kharbeche, Mohamed. "Optimization Model For Modern Retail Industry." Qatar Foundation Annual Research Forum Proceedings, no. 2013 (November 2013): ICTP 041. http://dx.doi.org/10.5339/qfarf.2013.ictp-041.

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Timofeeva, Anna. "Big Data Usage in Retail Industry." Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series 8, no. 2 (2019): 75–82. http://dx.doi.org/10.36997/ijusv-ess/2019.8.2.75.

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Booth, Simon, and Kristian Hamer. "Labour turnover in the retail industry." International Journal of Retail & Distribution Management 35, no. 4 (April 10, 2007): 289–307. http://dx.doi.org/10.1108/09590550710736210.

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Brockbank, Anne, and Yvonne Airey. "Women Managers in the Retail Industry." International Journal of Retail & Distribution Management 22, no. 4 (June 1994): 3–12. http://dx.doi.org/10.1108/09590559410062654.

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36

Lui, Veronica, and Brian H. Kleiner. "Pay discrimination in the retail industry." Equal Opportunities International 20, no. 5/6/7 (August 2001): 121–27. http://dx.doi.org/10.1108/02610150110786868.

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37

Grant, Deborah. "Retail industry: how to find out." Business Information Review 3, no. 3 (January 1987): 3–10. http://dx.doi.org/10.1177/026638218700300302.

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38

Bezzubchenko, Olga. "FEATURES OF RETAIL TRADE INDUSTRY TRANSNATIONALIZATION." Vìsnik Marìupolʹsʹkogo deržavnogo unìversitetu. Serìâ: Ekonomìka 11, no. 21 (2021): 84–94. http://dx.doi.org/10.34079/2226-2822-2021-11-21-84-94.

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The article is devoted to the study of the development of the processes of transnationalization of the retail trade industry. It was determined that in connection with the transition of the leading countries to post-industrial stage of development, the creation and expansion of the consumer society, very significant changes took place in the field of retail trade, which, also under the influence of the consequences of the global pandemic, significantly affected the scale and role of this branch the of the world economy. primarily in developed countries. A quantitative assessment of the degree of uneven distribution of multinational enterprises (MNEs) in the retail trade industry by asset value was carried out, which indicates an uneven distribution of the value of assets among MNE leaders in the industry and a relatively high degree of their concentration. It was determined and substantiated that the features of modern processes of transnationalization of the retail trade industry are: reorientation of companies to omnichannel and e-commerce; increase in online sales; orientation of companies to trade abroad; digital transformations; companies' use of AR/VR technologies, Big Data and robotic processing, visual search and voice assistance technologies
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Mallick, Sudeep, Anuj Sharma, B. V. Kumar, and S. V. Subrahmanya. "Web services in the retail industry." Sadhana 30, no. 2-3 (April 2005): 159–77. http://dx.doi.org/10.1007/bf02706243.

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Har, Loh Li, Umi Kartini Rashid, Lee Te Chuan, Seah Choon Sen, and Loh Yin Xia. "Revolution of Retail Industry: From Perspective of Retail 1.0 to 4.0." Procedia Computer Science 200 (2022): 1615–25. http://dx.doi.org/10.1016/j.procs.2022.01.362.

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Clement Su, J., and S. Karthikeya. "Retail Loyalty and Switching Cost: Statistical Enquiry in Indian Retail Industry." Asian Journal of Scientific Research 5, no. 1 (December 15, 2011): 14–24. http://dx.doi.org/10.3923/ajsr.2012.14.24.

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Moretta Tartaglione, Andrea, Roberto Bruni, and Maja Bozic. "Exploring the retail industry environment using nonlinear analysis." International Journal of Retail & Distribution Management 47, no. 4 (April 8, 2019): 453–70. http://dx.doi.org/10.1108/ijrdm-09-2017-0224.

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PurposeThe purpose of this paper is to explore the dynamics of the relationships between sales and internal and external environmental drivers in a retail company using a systems perspective in order to support retail management decisions with nonlinear methods.Design/methodology/approachThe research and results are presented in two parts: the collection and explorative analysis of the data; and discussion of the managerial implications following a systems perspective. The exploratory analysis is conducted using a statistical comparison of linear and nonlinear models of sales data from a retail company. The data, which comprise two data sets, come from 45 retail stores located in different regions of the USA.FindingsSpecifically, nonlinear models provided a better explanation of variation in retail activity (R2=46 per cent) than linear models (R2=16 per cent). In such a situation, the nonlinear analysis captures the influence of internal and external environmental drivers on retail sales.Research limitations/implicationsWith a limited variety of external and internal drivers, the exploratory analysis aims to describe a general situation in which retailers are managing activities in complex environments as opposed to reflect on a particular retail chain.Practical implicationsThe systems perspective is used to interpret the managerial implications of the nonlinear analysis fits, particularly in cases where retail decision-makers are adapting, transforming and restructuring sources of competitive advantage in complex environments.Originality/valueThe paper provides an alternative perspective (the systemic one) of how retailers could interpret the relationships between internal and external variables in the dynamic environment of the retail chains with nonlinear models.
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Sakrabani, Poorni, Ai Ping Teoh, and Azlan Amran. "Strategic impact of retail 4.0 on retailers’ performance in Malaysia." Strategic Direction 35, no. 11 (November 11, 2019): 1–3. http://dx.doi.org/10.1108/sd-05-2019-0099.

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Purpose The Malaysian retail industry, which contributes toward almost 45 per cent of the country's Gross Domestic Product (GDP) is on a downward trend. As such, the main purpose of this study is to improve the performance of the Malaysian retail industry through the incorporation of Industry 4.0 technologies. The incorporation of Industry 4.0 technologies in the retail industry has led to the emergence of Retail 4.0 which can also be defined as omni-channel retailing. Design/methodology/approach The adoption of Retail 4.0, which is a combination of omni-channel retailing and also novel technologies, has been proven to improve the performance of retailers in many countries. As such, the authors have given suggestions on how Retail 4.0 can be incorporated by Malaysian retailers for the betterment of the Malaysian retail industry. Findings Problems faced by retailers these days are boring `brick and mortar' stores, out of stock (OOS) issues, price discrepancy and long queues. Retail 4.0 has enabled retailers to overcome these problems by creating novel shopping experiences, better inventory management, and improved operational efficiency and also more informed decision making in real time. Limitations The incorporation of Industry 4.0 technologies in Malaysia is still in the infancy stage. As such, skilled professionals need to be brought in to help implement these technologies in the retail industry. Practical implications Omni-channel retailing and the usage of various technologies by `brick and mortar' stores is very appealing to Malaysia's Gen Y and Gen Z who make up 67 per cent of the country's population. The spending power of this young generation can help to boost the performance of the Malaysian retail industry. Originality/value To date, no known study has been done on the impact of Retail 4.0 on Malaysian retailers. The results of this study will be very valuable to managers who are keen to improve the performance of their respective retail channels.
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Sluchak, Thomas J. "Lessons Learned from a Retail Food Industry Ergonomics Task Force." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 10 (October 1994): 641–43. http://dx.doi.org/10.1177/154193129403801021.

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Three individuals on the panel have participated in the formation and functioning of the Food Marketing Institute Ergonomics Task Force; the retailer on the panel has benefitted from the recommendations of the task force. The panelists will discuss lessons learned from the task force activity both for the retail food industry and for individual stores.
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Arunraj, Nari Sivanandam, and Diane Ahrens. "Estimation of non-catastrophic weather impacts for retail industry." International Journal of Retail & Distribution Management 44, no. 7 (July 11, 2016): 731–53. http://dx.doi.org/10.1108/ijrdm-07-2015-0101.

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Purpose – Weather is often referred as an uncontrollable factor, which influences customer’s buying decisions and causes the demand to move in any direction. Such a risk usually leads to loss to industries. However, only few research studies about weather and retail shopping are available in literature. The purpose of this paper is to develop a model and to analyze the relationship between weather and retail shopping behavior (i.e. store traffic and sales). Design/methodology/approach – The data set for this research study is obtained from two food retail stores and a fashion retail store located in Lower Bavaria, Germany. All these three retail stores are in same geographical location. The weather data set was provided by a German weather service agency and is from a weather station nearer to the retail stores under study. The analysis for the study was drawn using multiple linear regression with autoregressive elements (MLR-AR). The estimated coefficients of weather variables using MLR-AR model represent corresponding weather impacts on the store traffic and the sales. Findings – The snowfall has a significant effect on the store traffic and the sales in both food and fashion retail stores. In food retail store, the risk due to snowfall varies depending on the location of stores. There are also significant lagging effects of snowfall in the fashion retail store. However, the rainfall has a significant effect only on the store traffic in the food retail stores. In addition to these effects, the sales in the fashion retail store are highly affected by the temperature deviation. Research limitations/implications – Limitations in availability of data for the weather variables and other demand influencing factors (e.g. promotion, tourism, online shopping, demography of customers, etc.) may reduce efficiency of the proposed MLR-AR model. In spite of these limitations, this study can be able to quantify the effects of weather variables on the store traffic and the sales. Originality/value – This study contributes to the field of retail distribution by providing significant evidence of relationship between weather and retail business. Unlike previous studies, the proposed model tries to consider autocorrelation property, main and interaction effects between weather variables, temperature deviation and lagging effects of snowfall on the store traffic or the sales. The estimated weather impacts from this model can act as a reliable tool for retailers to explain the importance of different non-catastrophic weather events.
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Seetharaman, Arumugam, Indu Niranjan, Varun Tandon, and A. S. Saravanan. "Impact of big data on the retail industry." Corporate Ownership and Control 14, no. 1 (2016): 506–18. http://dx.doi.org/10.22495/cocv14i1c3p11.

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With the recent emergence of Big Data with its Volume, Variety and Velocity (3V’s), data analysis has emerged as a crucial area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be resolved in business organizations, including the retail industry. This study has methodically identified and analysed four factors, namely, data source, data analysis tools, financial and economic outcomes and data security and data privacy, to gauge their influence on the impact of Big Data in the retail industry. This research analyses the impact of big data analysis on retail firms that use data and business analytics to make decisions, termed a data-driven decision-making (DDD) approach. The new finding is arrived that financial and economic outcome showed a strong support and have direct relationship with data analysis tools of retail industry. Data for the study were collected using a survey of various business practices and investments in information technology by retail organizations. The data analysis showed that retail organizations which use DDD have higher output and productivity. Using SMART PLS data analysis methods with solid support of review from ISI Journals, the relationship between DDD and performance is also evident in aspects of organization such as the utilization of inventory, customer engagement and market value in the retail industry.
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Manohar, Sridhar, and Geeta Kapur. "Measuring Perceived Service Innovation Typologies in Retail Industry." Journal of Industrial Integration and Management 04, no. 02 (June 2019): 1850019. http://dx.doi.org/10.1142/s2424862218500197.

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Purpose: The study is undertaken with two objectives, first to develop a scale that can measure service innovation from customer perspective in retail industry, and second to find out how the developed service innovation measurement scale has an effect on predicting customer’s Word-of-Mouth (WOM), followed by testing the mediation effect of corporate reputation between service innovation and WOM. Methodology: The study followed the Integrated Design Approach that included qualitative studies and quantitative studies in exploring and validating the measurement items for service innovation typologies. The codes that represent the typologies of service innovation were elicited through group discussions with selected customers and validated through in-depth interviews with decision maker/managers of retail industry in different parts of South India. The approved codes were validated through two expert opinion surveys and further authenticated through quantitative approaches such as: Exploratory Factor Analysis and Confirmatory Factor Analysis with two different sets of samples. Finally, the nomological validity of the developed scale was tested on estimating its effect on Corporate Reputation and WOM. Findings: The developed service innovation scale can be adopted by both researchers and managers in measuring service innovation in retail industry. The path analysis results concluded that service innovation has positive impact on corporate reputation and WOM, where the decision makers/managers can note that if service innovations are brought in frequently, it would make the firm reputed in the market and ultimately results in positive WOM from the customers. The mediation analysis result also gives an insight that even if the service innovation is by a non-reputed retailer, it still gets positive WOM. Originality/Value: The study contributes by providing a unique scale to measure service innovation from customer perspective in retail industry, overcoming the existing Goods-Dominant logic. Further, by empirically testing nomological validity, the effect on non-financial performance is estimated to understand how innovation in services would build corporate reputation that ultimately results in customers’ positive WOM which is wanting in literature on service innovation.
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Naik M, Dhadurya, Srinivasa Rao Dokku, Veerla Nagamalleswara, Koniki Srinivas, Venkata Naga Siva Kumar Challa, and M. Srinivasa Narayana. "Impact of Artificial Intelligence on the Indian Retail Industry." Financial Engineering 1 (July 17, 2023): 316–25. http://dx.doi.org/10.37394/232032.2023.1.30.

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Emerging technologies like the Internet of Things (IoT), information science, vast volumes of data, distributed computing, artificial intelligence (AI), and block chain are transforming the way we live, work, and have fun. By making more progress in these directions, hyper-automation and hyper systems may evolve more quickly. In addition to that, there is a significant transformation taking place in the retail industry. The study is focus on the impact of AI in retail industry. At Vijayawada, Andhra Pradesh, India, 145 samples from various retail businesses were taken into consideration for the study. Both primary and secondary data are used in the investigation. The study was evaluated using factor analysis. The majority of respondents are aware of the use of AI in India's retail sector, according to data studies. It has also been noted that the majority of retail establishments employ AI. Particularly AI is useful in order processing, shipping, and inventory management in the retail industry in India.
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Ji, Shou Wen, Xiao Yuan Sun, and Dan Liu. "Research on Core Competitiveness of Chinese Retail Industry Based on O2O." Advanced Materials Research 834-836 (October 2013): 2017–20. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.2017.

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The emergence of e-commerce retailers is a huge impact on traditional retailers. However, with the development of the network, drawbacks of online shopping gradually appear. The traditional retailers and the e-commerce retailers are facing long-term development difficulties. The emergence of O2O has brought the retail industry a further development. This paper mainly discusses the key points and the business processes of O2O as well as the vertebral body model of retail enterprise's core competitiveness based on O2O. After analyzing the development of Chinese retail industry, the author tries to do a research on the core competitiveness of Chinese retail industry based on O2O and thus provide some advices for the development of Chinese retail industry.
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Leony Johanesputri, Violivia, Agus Gunawan, Yoke Pribadi Kornarius, and Angela Caroline. "ENGARUH INFORMATION TECHNOLOGY INFRASTRUCTURETERHADAP KNOWLEDGE SHARING INTENTIONDI INDUSTRI RETAIL INDONESIA." Jurnal Ekonomi dan Bisnis (EK&BI) 5, no. 1 (June 29, 2022): 226–35. http://dx.doi.org/10.37600/ekbi.v5i1.464.

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Covid -19 has forced all industries to adapt in order to survive, especially in the retail industry. The retail industry can adapt if they do knowledge sharing so that all employees have the same knowledge. Retail business need to provide a system that can help distribute knowledge to all employees. This system needs to be supported by technological advancement to accelerate the process of distributing this knowledge. This explanatory type of research aims to determine the relationship and the influence of information technology infrastructure (ITI) variables on knowledge sharing interest (KSI) variables in the Indonesian retail industry. The sampling technique in this research is purposive sampling with a sample of 173 respondents. The results showed that ITI and KSI had a strong relationship, namely 0.690 and an R-square value of 0.476, which means that ITI has apositive and significant effect on KSI
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