Omni-Channel Retailing and Firm Performance from a Customer Lifetime Value Perspective

In the digital era,retailers are keen to find out whether omni-channel retailing helps improve long-term firm performance.In this paper,we employ machine learning techniques on a large consumption data set in order to measure customer lifetime value(CLV)as the basis for determining long-term firm performance,and we provide an empirical analysis of the relationship between omni-channel retailing and CLV.The results suggest that omni-channel retailing may effectively enhance CLV.Further analysis reveals that this process is influenced by heterogeneous consumer requirements and that significant differences exist in the extent to which the omni-channel transition may influence CLV depending on consumer preferences for diversity of commodities,sensitivity to the cost of contract performance,and sensitivity to warehousing costs.Hence,retailers should provide consumers with a complete portfolio of goods and services based on target consumers’heterogeneous requirements in order to increase omni-channel efficiency.

Research on Alliance Decision of Dual-Channel Remanufacturing Supply Chain Considering Bidirectional Free-Riding and Cost-Sharing

This study delves into the formation dynamics of alliances within a closed-loop supply chain(CLSC)that encom-passes a manufacturer,a retailer,and an e-commerce platform.It leverages Stackelberg game for this exploration,contrasting the equilibrium outcomes of a non-alliance model with those of three differentiated alliance models.The non-alliance model acts as a crucial benchmark,enabling the evaluation of the motivations for various supply chain entities to engage in alliance formations.Our analysis is centered on identifying the most effective alliance strategies and establishing a coordination within these partnerships.We thoroughly investigate the consequences of diverse alliance behaviors,bidirectional free-riding and cost-sharing,and the resultant effects on the optimal decision-making among supply chain actors.The findings underscore several pivotal insights:(1)The behavior of alliances within the supply chain exerts variable impacts on the optimal pricing and demand of its members.In comparison to the non-alliance(D)model,the manufacturer-retailer(MR)and manufacturer-e-commerce platform(ME)alliances significantly lower both offline and online resale prices for new and remanufactured goods.This adjustment leads to an enhanced demand for products via the MR alliance’s offline outlets and the ME alliance’s online platforms,thereby augmenting the profits for those within the alliance.Conversely,retailer-e-commerce platform(ER)alliance tends to increase the optimal retail price and demand across both online and offline channels.Under specific conditions,alliance behavior can also increase the profits of non-alliance members,and the profits derived through alliance channels also exceed those from non-alliance channels.(2)The prevalence of bidirectional free-riding behavior largely remains constant across different alliance configurations.Across these models,bidirectional free-riding typically elevates the equilibrium prices in offline channel while negatively affecting the equilibrium prices in other channel.(3)The effect of cost-sharing shows relative uniformity across the various alliance models.Across all configurations,cost-sharing tends to reduce the manufacturer’s profits.Nonetheless,alliances initiated by the manufacturer can counteract these negative impacts,providing a strategic pathway to bolster CLSC profitability.

The Interrelationship between Culture and Capital Structure:Evidence from International Retailers

The present study investigates the influence of cultural factors in 2022 on the capital structure of global retailers.There are sixteen retailers from eight countries in the sample.In recent times,numerous academicians have taken an interest in examining the capital structure and business model of retailers,owing to their swift and consistent growth.However,the fact that the majority of research originates from the retailers’host country gives rise to debate regarding the applicability of the capital structure of said retailers to countries with distinct cultural environments.Consequently,academics have begun to investigate whether the capital structure of multinational retailers is impacted by the diversity of national cultures.

Downtown Retailing Development Under Suburbanization——A Case Study of Beijing

The role of retailing has diminished in the center of cities of Western countries since its heyday in the 1920s. This trend was caused by violent transformations in the economic, social and locational contexts which involve resi- dential suburbanization, as well as new forms of commercial development out of town. As far as transforming China is concerned, the downtown retailing center has also come to turning point of development in the context of suburbaniza- tion. Based on the survey of Beijing residents’ shopping behavior, the present research tends to making clear the actual change and development problem of downtown retailing center. Combining with the macro retailing environment, re- lated influencing factors are further discussed too. Study results show that downtown retailing still plays an important part in resident’s shopping activity. However, with rapid urban sprawl, retailing in urban center has been greatly threatened by booming out-of-town commerce. In the course of such spatial change, the suburbanization of resident, the prevalence of new commercial forms and the change of consumers’ life style all have exerted their own pressure on downtown retailing. But for the special socioeconomic background of development and the support of government policy, it will still keep its vitality of retailing for a long period of time.

Wal-Mart's Corporate Culture and the Suggestions for China's Retailing Industry in Culture-Building

With sales at a quarter of a trillion and over 1.3 million employees,Wal-Mart has been the biggest retailing success ever before.A lot of Wal-Mart’s success was attributed to the strong and pervasive culture at the company.China’s retailing industry should really learn something about corporate culture-building from this excellent enterprise,so that one day it would become a strong competitor both home and abroad in retailing industry.

Sustainable Development and Transition of Traditional Retailing Centers in Beijing from Consumers' Perspective

Based on the consumer questionnaires of the three traditional retailing centers,Qianmen,Wangfujing and Xidan in Beijing,this article analyzes the present features of consumer composition in the three retailing centers.What is more,the evolution course and function transition of traditional retailing centers is revealed based on the changing of consumer composition in different times.Lastly,the renewal method and development trends of traditional retailing centers are discussed based on the evaluation results in consumers'perspective.

Assessment of Beef Quality Determinants in the Retailing Premises

This study explains how infrastructure and beef processing practices in beef retailing premises (BRPs) are useful for beef purchasing decision. In this respect, features and beef retailing practices were assessed against the questionability of beef that is retailed in least developing countries (LDCs). This assessment was carried out by testing the null hypothesis that hypothesizes that BRPs in Dar es Salaam and Mbeya cities do not comply with the FAO technical requirements. The retailed beef in many BRPs is compromised with the status of the infrastructural development, the situation that may result in the questionability of the consumed beef. The Likert based information regarding 22 beef quality impacting factors (BQIF) from BRPs in Dar es Salaam and Mbeya, respectively, was analyzed with respect to the gaps identified and beef retailing conceptual model. This study is important as it provides general picture in connection to the status of the assessed BQIF in BRPs for the cities in the least developing countries (LDCs). In this regard, the study has shown that the compliance of BRPs in the LDCs’ cities is too weak to meet the infrastructural technical requirements due to existence of more stringent provisions in the developed specifications. The study finally identified the local infrastructural beef quality determinants in LDCs’ BRPs as the gap to be bridged by other studies.

Why and how retailing companies in China should operate in low-carbon mode?

Nowadays low-carbon development has become a hot issue of the whole world.This article first introduces the background of low-carbon economy,and then explains the importance of retailing companies in social economy and the reasons why they should operate in low-carbon mode.More specifically,low-carbon operation can not only improve the competitiveness of a retailing company by reducing operation cost and formatting good corporate image,but also benefit the whole society by reducing environment pollution and promoting low-carbon consumption and production.Only by adopting low-carbon operation pattern can retailing companies confront the fierce international competition.To illustrate the above point of view,several cases of famous western retailing companies will be analyzed in this essay.Tesco,Wal-Mart and Carrefour are all typical examples in low-carbon operation because they all have great green and sustainability initiatives.Based on the advanced experiences of the above-mentioned companies,this essay discusses the low-carbon operation ways,putting forward some valuable suggestions on this problem.From a technical perspective,retailing companies should adopt advanced technologies relating to low-carbon operation.On the other hand,management level of retailing companies should be enhanced to ensure the application effect of low-carbon technologies.Retailing companies should improve the ability of internal management to excavate the internal potential and build green supply chain to corporate with strategic partners.Finally,this article gives the conclusion of the whole analysis.

A Two-Level Purchase Problem for Food Retailing in Japan

In this paper, we deal with a purchase problem for food retailing, and formulate a two-level linear programming problem with a food retailer and a distributer. The food retailer deals with vegetables and fruits which are purchased from the distributer;the distributer buys vegetables and fruits ordered from the food retailer at the central wholesale markets in several cities, and transports them by truck from each of the central wholesaler markets to the food retailer’s storehouse. We solve the two-level linear programming problem in which the profits of the food retailer and the distributer are maximized.

Dual-channel fiber-optic surface plasmon resonance sensor with cascaded coaxial dual-waveguide D-type structure and microsphere structure

To address the restriction of fiber-optic surface plasmon resonance(SPR) sensors in the field of multi-sample detection, a novel dual-channel fiber-optic SPR sensor based on the cascade of coaxial dual-waveguide D-type structure and microsphere structure is proposed in this paper. The fiber sidepolishing technique converts the coaxial dual-waveguide fiber into a D-type one, and the evanescent wave in the ring core leaks, generating a D-type sensing region;the fiber optic fused ball push technology converts the coaxial dual waveguides into microspheres, and the stimulated cladding mode evanescent wave leaks, producing the microsphere sensing region. By injecting light into the coaxial dual-waveguide middle core alone, the sensor can realize single-stage sensing in the microsphere sensing area;it can also realize dual-channel sensing in the D-type sensing area and microsphere sensing area by injecting light into the ring core. The refractive index measurement ranges for the two channels are 1.333–1.365 and 1.375–1.405, respectively, with detection sensitivities of 981.56 nm/RIU and 4138 nm/RIU. The sensor combines wavelength division multiplexing and space division multiplexing technologies, presenting a novel research concept for multi-channel fiber SPR sensors.

The Role of New Retailing Formats in the Italian Local Development

In Italy, and particularly in its southern area, super-markets and hyper-markets still represent an expanding retailing format, as they were introduced years later than in other western countries. Today, they have become large retailers capable of influencing local development from an economic, social and urban perspective. The literature concerned with their effects on the local economy has focused on labour markets, price dynamics, and inter-type competition, neglecting their impact on macroeconomic factors such as GDP, value added specific sectors--agriculture, industry and services. This study tries to contribute to fill this gap by empirically investigating associations between key characteristics of these retailers and specific macroeconomic value added factors

Share of Wallet in FMCGs Retailing:Proposing a Conceptual Model

Recent years,the Marketing Science Institute considered marketing performance measurement(MPM)a priority in marketing research and managerial practice.Several contributions on the same topic have been proposed in literature.The ability to measure the marketing performance is considered,a cognitive gap that determined a decrease of marketing relevance within firm and organizations.Based on relevant literature on retailing and an explorative case study,it will be proposed a conceptual and pragmatic model to investigate MPM for a consumer goods retailer.The model is aimed to identify antecedents of“share of purchase”,“share of wallet”,and“share of visit”.An early test of the model has been carried out on three Italian leading chains:Superò,a master franchisee of SMA Spa(owned of 27 small supermarkets under control of the French Auchan Group),Decò-Multicedi(the Group is a multi-channel company based on network of five Ad Hoc cash&carry centers,253 Decòoutlets and three Ayoka pet shops)located in Campania Region.“U2”(the outlets label of Unes Spa,Finiper Group,operating mostly in northern Italy,with a chain of more than 190 direct and franchise supermarkets).

Development of Intelligent Garment Coordination and Virtual Try-on System for Fashion Retailing with RFID Technology

Improving customer experience has become a more and more important role in enhancing customer service in fashion retailing business. In this study, a kind of intelligent garment coordination and try-on system for fashion retailing was proposed. Radio Frequency Identification （RFID） technology was used to identify customer and garment item automatically. The intelligent procedure for garment coordination recommendation using Artificial Neural Network （ANN） was developed to imitate fashion designers＇ decision-making on garment coordination. Virtual try-on algorithm based on the customer＇s 2D/mago was accomplished using imagewarping technique. The system architecture and the software framework were also described. The results show that the ＇system is a practical and useful application for fashion retailers.

Review of Artificial Intelligence with Retailing Sector

This research service provides an original perspective on how artificial intelligence(AI)is making its way into the retail sector.Retail has entered a new era where ECommerce and technology bellwethers like Alibaba,Amazon,Apple,Baidu,Facebook,Google,Microsoft,and Tencent have raised consumers’expectations.AI is enabling automated decision-making with accuracy and speed,based on data analytics,coupled with selflearning abilities.The retail sector has witnessed the dramatic evolution with the rapid digitalization of communication(i.e.Internet)and;smart phones and devices.Customer is no longer the same as they became more empowered by smart devices which has entirely prevailed their expectation,habits,style of shopping and investigating the shops.This article outlines the Significant innovation done in retails which helped them to evolve such as Artificial Intelligence(AI),Big data and Internet of Things(IoT),Chatbots,Robots.This article further also discusses the ideology of various author on how AI become more profitable and a close asset to customers and retailers.

Robust dual-channel correlation algorithm for complex weak target detection with wideband radar

In the scene of wideband radar,due to the spread of target scattering points,the attitude and angle of view of the target constantly change in the process of moving.It is difficult to predict,and the actual echo of multiple scattered points is not fully matched with the transmitted signal.Therefore,it is challenging for the traditional matching filter method to achieve a complete matching effect in wideband echo detection.In addition,the energy dispersion of complex target echoes is still a problem in radar target detection under broadband conditions.Therefore,this paper proposes a wideband target detection method based on dualchannel correlation processing of range-extended targets.This method fully uses the spatial distribution characteristics of target scattering points of echo signal and the matching characteristics of the dual-channel point extension function itself.The radial accumulation of wideband target echo signal in the complex domain is realized through the adaptive correlation processing of a dual-channel echo signal.The accu-mulation effect of high matching degree is achieved to improve the detection probability and the performance of wideband detection.Finally,electromagnetic simulation experiments and measured data verify that the proposed method has the advan-tages of high signal to noise ratio(SNR)gain and high detection probability under low SNR conditions.

More and More Retail Brands Integrate ESG into Development

Recently, Savills and the U.S. Green Building Council released Sustainable Retail-Staying on Track(hereinafter the report), which pointed out that the ranking of the 20-city retailer index in 2022 changed the most in the past five years, but that Shanghai, Beijing, Shenzhen and Chengdu are still among the top four retailers in 2022. The sustainable retail index of coastal cities including Ningbo, Qingdao and Xiamen has greatly improved.

Assessment of the Retail Food Environment Using Integrated GIS and Modified Measures in Wuhan, China

The retail food environment (RFE) has a significant impact on people’s dietary behavior and diet-related outcomes. Although RFE research has received a lot of attention, there are very few studies that shed light on the foodscape and assessment methodologies in the China context. Based on open data obtained from Dianping.com and AutoNavi map, we classified all food outlets into six types. Geographic Information Systems (GIS) techniques were employed to create two network buffer areas (1-km and 3-km) and calculate the absolute measures and relative measures (i.e., mRFEI and Rmix). We modified the calculation of relative measures by adding items and assigning weights. The mean mRFEI using the 1-km and 3-km buffer sizes across the communities were 10.45 and 20.12, respectively, while the mean mRmix of the two buffer sizes were 20.97 and 58.04, indicating that residents in Wuhan have better access to fresh and nutritious food within 3-km network buffers. Residents in urban areas are more likely to be exposed to an unhealthy food environment than those in rural areas. Residents in Xinzhou and Qiaokou districts are more likely to be subjected to unfavorable neighborhood RFE. The open data-driven methods for assessing RFE in Wuhan, China may guide community-level food policy interventions and promote active living by shifting built environments to increase residents’ access to healthy food.

Optimization of Electricity Purchase and Sales Strategies of Electricity Retailers under the Condition of Limited Clean Energy Consumption

In the process of my country’s energy transition,the clean energy of hydropower,wind power and photovoltaic power generation has ushered in great development,but due to the randomness and volatility of its output,it has caused a certain waste of clean energy power generation resources.Regarding the purchase and sale of electricity by electricity retailers under the condition of limited clean energy consumption,this paper establishes a quantitative model of clean energy restricted electricity fromthe perspective of power system supply and demand balance.Then it analyzes the source-charge dual uncertain factors in the electricity retailer purchasing and selling scenarios in the mid-to long-term electricity market and the day-ahead market.Through the multi-scenario analysis method,the uncertain clean energy consumption and the user’s power demand are combined to form the electricity retailer’s electricity purchase and sales scene,and the typical scene is obtained by using the hierarchical clustering algorithm.This paper establishes a electricity retailer’s risk decisionmodel for purchasing and selling electricity in themid-and long-term market and reduce-abandonment market,and takes the maximum profit expectation of the electricity retailer frompurchasing and selling electricity as the objective function.At the same time,in themediumand longterm electricity market and the day-ahead market,the electricity retailer’s purchase cost,electricity sales income,deviation assessment cost and electricity purchase and sale risk are considered.The molecular results show that electricity retailers can obtain considerable profits in the reduce-abandonment market by optimizing their own electricity purchase and sales strategies,on the premise of balancing profits and risks.

Customer Segment Prediction on Retail Transactional Data Using K-Means and Markov Model

Retailing is a dynamic business domain where commodities and goods are sold in small quantities directly to the customers.It deals with the end user customers of a supply-chain network and therefore has to accommodate the needs and desires of a large group of customers over varied utilities.The volume and volatility of the business makes it one of the prospectivefields for analytical study and data modeling.This is also why customer segmentation drives a key role in multiple retail business decisions such as marketing budgeting,customer targeting,customized offers,value proposition etc.The segmentation could be on various aspects such as demographics,historic behavior or preferences based on the use cases.In this paper,historic retail transactional data is used to segment the custo-mers using K-Means clustering and the results are utilized to arrive at a transition matrix which is used to predict the cluster movements over the time period using Markov Model algorithm.This helps in calculating the futuristic value a segment or a customer brings to the business.Strategic marketing designs and budgeting can be implemented using these results.The study is specifically useful for large scale marketing in domains such as e-commerce,insurance or retailers to segment,profile and measure the customer lifecycle value over a short period of time.

县域农产品网络零售发展的影响因素与组态路径——基于34个县域案例的清晰集定性比较分析

基于TOE框架,依据我国34个县域案例,运用清晰集定性比较分析方法,探讨技术、组织、环境条件对县域农产品网络零售发展影响因素的联动效应及其路径选择,探索性地识别出三类推动县域农产品网络零售快速发展的适配性方案。研究发现,单一条件不是县域农产品网络零售快速发展的必要条件,某个或某些方面不具优势的县域,可以通过组态路径实现快速发展;促使农产品网络零售快速发展具有多样化的组态路径,且不同县域农产品网络零售快速发展的路径存在差异,不同条件的变量组合可以实现殊途同归,这些组态可分为组织驱动型、环境驱动型和组织环境驱动型三种;行业发展水平和财政支农力度是农产品网络零售快速发展普遍需求的两个核心条件,表明农产品网络零售发展需要产业结构转型和财政资金的支持;对数字技术水平较高的县域,在维持一定的政策制度保障和财政支农力度下,行业发展水平可以和特色品牌塑造相互替代。县域需要综合考虑多种条件的联动作用,提升行业发展水平、加大财政支持力度、夯实政策制度保障、强化数字技术支撑和提升特色品牌价值,充分发挥技术、组织和环境条件之间的协同效应,因地制宜采取符合自身实际的组合路径,促进农产品网络零售高质量发展,助力农民增收创收和乡村全面振兴。