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The aim of this paper is to investigate competitive pricing strategies of apparel brands and retailers.

The paper begins with a broad discussion of competition by examining Porter's five forces model, and narrows by examining price competition within price tiers in the retail apparel industry according to store format and brands. Included are case studies of apparel retailers and brands incorporating concepts of pricing strategies, brand positioning, and price competition, with a focus on retail channel relationships. The paper analyzes the impact of price competition on apparel retailers and brands, and further examines price tiers as a competitive strategy.

The study reveals that the concept of price tiers is applicable to apparel retailers and brands. Price tiering is a vehicle for market positioning for the retail apparel industry. Retailers are enacting a price tier strategy by branding their retail store formats or engaging store brands as a vehicle of differentiation for a tier. Retailers and brands can be successful with a price tier strategy, unless they fail to differentiate between tiers on factors other than on price alone.

The lack of relevant price competition literature, relating to the retailer apparel industry, forced the exploration of price competition literature from grocery and automotive sectors.

The paper provides useful information on the impact of price competition on apparel retailers and brands, and also price tiers as a competitive strategy.

Participants will learn to analyze the basis of consumer segmentation in management education. It will specifically highlight the importance of positioning in influencing the marketing strategy of a firm and discuss the importance of a differentiated-low cost strategy to gain competitive advantage. The case will familiarize students with the business environment of rural India, and the applicability of the 4A’s and the 5D’s framework. Finally, the case will help participants understand the difference between a rural market and a Bottom-of-Pyramid (BoP) market.

A rural MBA institute for BoP students is grappling with the problem of low admissions, leading to an existential crisis. Two divergent options are presented to the protagonist. The first is to close down the B-school and use the infrastructure and facilities for a well-funded government skill development program which is vocational and intended for creating blue-collar workers. The second is to find ways to bolster the B-school to ensure that it gets adequate student enrollment, thereby leading to profitability.

This case is suitable for an undergraduate or MBA course in marketing management, rural marketing in India, South-Asian marketing or strategic marketing.

Teaching notes are available for educators only. Please contact your library to gain login details or e-mail support@emeraldinsight.com to request teaching notes. There is an accompanying spreadsheet with the case for studying the market. It contains relevant market data that would support analysis of the case. Comments are added for easy understanding. Instructors can access the separate spreadsheet that works out the break-even calculations for the fee structure of the institute. Instructions on calculations as well as comments are added for easy understanding.

CSS 8: Marketing.

The new customer churn prediction (CCP) utilizing deep learning is developed in this work. Initially, the data are collected from the WSDM-KKBox’s churn prediction challenge dataset. Here, the time-varying data and the static data are aggregated, and then the statistic features and deep features with the aid of statistical measures and “Visual Geometry Group 16 (VGG16)”, accordingly, and the features are considered as feature 1 and feature 2. Further, both features are forwarded to the weighted feature fusion phase, where the modified exploration of driving training-based optimization (ME-DTBO) is used for attaining the fused features. It is then given to the optimized and ensemble-based dilated deep learning (OEDDL) model, which is “Temporal Context Networks (DTCN), Recurrent Neural Networks (RNN), and Long-Short Term Memory (LSTM)”, where the optimization is performed with the aid of ME-DTBO model. Finally, the predicted outcomes are attained and assimilated over other classical models.

The features are forwarded to the weighted feature fusion phase, where the ME-DTBO is used for attaining the fused features. It is then given to the OEDDL model, which is “DTCN, RNN, and LSTM”, where the optimization is performed with the aid of the ME-DTBO model.

The accuracy of the implemented CCP system was raised by 54.5% of RNN, 56.3% of deep neural network (DNN), 58.1% of LSTM and 60% of RNN + DTCN + LSTM correspondingly when the learning percentage is 55.

The proposed CCP framework using the proposed ME-DTBO and OEDDL is accurate and enhances the prediction performance.

Milk cake is a well-renowned khoa-based dairy product in India, produced either from the buffalo milk or using a specific danedar variety of khoa. Under ambient conditions, shelf-life of milk cake is generally up to 3–4 days, whereas under refrigeration conditions, it can last up to 12–14 days. Therefore, the present study aims to evaluate the effect of modified atmosphere packaging (MAP) to enhance the shelf-life and keeping intact freshness of milk cake under refrigerated conditions (4 ± 2 °C).

Different gas concentrations of N₂ and CO₂ (70:30, 50:50 and 90:10) were used as a treatment, whereas control samples were kept under atmospheric air composition. The product was examined for sensory, physicochemical and microbiological parameters at weekly intervals.

The physicochemical and microbiological attributes displayed gradual elevation with progressive storage period in all the samples. However, the overall sensory profile of the product remained acceptable for a longer duration. Most of the quality parameters in control declined more rapidly with a shelf life of 14 days, in comparison to MAP packed samples, where gas flushing with the ratio 70:30 was found to be best suited for extending the shelf life of milk cake up to 28 days at refrigeration temperature.

To extend the shelf life of milk cake, modified atmosphere was provided with different gas ratios to reach a best-suited environment for sensory, storage life and proximate parameters.

Introduction: Cost competitiveness, customer focus, and sustainability compliance are essential for new-age firms to survive and succeed in the VUCA market environment. This study examines how automobile corporations have improved cost competitiveness, productivity, and product quality.

Purpose: This study examines the importance of cost competitiveness, customer focus, and sustainability compliance for the long-term survival of organisations in VUCA markets, looking at the practical efforts made by automobile corporations to enhance cost competitiveness, productivity, and quality.

Methodology: The study utilises a comprehensive analysis of the strategies and initiatives implemented by the selected automobile companies. It involves a review of relevant literature, case studies, financial data analysis, and interviews with key industry experts, providing a holistic understanding of the actions taken by these organisations to achieve their goals.

Findings: The study reveals that cost competitiveness, customer focus, and sustainability compliance are critical factors for the long-term survival and success of organisations in the automotive industry. The analysed automobile companies have undertaken practical efforts to improve cost competitiveness, enhance productivity, and ensure high-quality products, enabling them to navigate the challenges and maintain a competitive edge.

Significance: The findings of this study contribute to a deeper understanding of the importance of cost competitiveness, customer focus, and sustainability compliance in the automotive industry. It highlights the need for organisations to constantly monitor both qualitative and quantitative profit to avoid complacency and ensure long-term efficiency. The study’s insights are relevant to businesses operating in other sectors, as they face similar challenges in the VUCA market environment.

This study aims to explore how absorptive and joint learning can foster radical innovation. Furthermore, dependence asymmetry is investigated as a moderator of the effects of these factors on radical innovation. Radical innovation is an important source of any firm’s success. Yet, there has been a dearth of research in the literature on how different types of inter-partner learning cultivate the process of generating such innovation.

The authors use a sample of 204 Taiwanese electronics suppliers to test the effects of joint learning and absorptive learning on radical innovation. The empirical analysis adopts a structural equations modeling approach.

The authors find that a supplier’s joint learning has a stronger effect on radical innovation than its absorptive learning. However, when accounting for the moderating effect of dependence asymmetry, the analysis shows that absorptive learning does have a significant effect on radical innovation. The effect of joint learning on radical innovation is not moderated by the degree of dependence asymmetry.

This study broadens and deepens the understanding of how radical innovation by suppliers can be generated in customer–supplier relationships, and how this is shaped by the power-dependence structure.

Inter-partner learning; radical innovation; power; dependence.

The growth of luxury tourism has been brought to a grinding halt due to the COVID-19 pandemic affecting most parts of the world since early 2020. Although the time for recovery of hospitality and tourism industries is still unclear, experience from the SARS outbreak in 2003 showed that the bounce back from consumers could be fast. The group of most affluent consumers, mostly known as HNWIs (high net worth individuals), will resume their original consumption behaviour much sooner than the rest of the market; these affluent consumers are the main target market of luxury hospitality and tourism industries.

This chapter presents different types of luxury tourism, luxury lifestyle, luxury tourists' decision-making and luxury hospitality products. The luxury food and beverage business in Singapore is presented to illustrate the commercial environment during the pandemic.

Organizational learning is a critical factor in generating firm innovation. While the firms are working with global business partners, not only does their absorptive learning capacity (ALC) with business partners play an important role in generating innovation from the inter-partner firm relationship, but their joint learning capacity (JLC) does as well. However, little research has simultaneously examined absorptive and JLC on innovation in global supply chain relationships. The paper aims to discuss this issue.

Drawing on the knowledge-based view, inter-partner learning theory and resource dependence theory, the current study investigates the effects of two organizational learning capacities on relationship-specific innovation: ALC (firm-level) and JLC (relationship level). In addition, a firm’s focus on exploitation/exploration strategy and supplier dependence is further incorporated into the study as moderators. Moreover, solutions to endogeneity issues are discussed and reported due to the usage of survey data. The model of this study was tested using data collected from 190 electronics firms in Taiwan as an emerging market.

The findings of this research reveal that JLC in the presence of absorptive capacity positively influences relationship-specific innovation. Furthermore, the exploitation focus of a firm positively moderates the effects of both absorptive and JLC on relationship-specific innovation. However, supplier dependence negatively moderates the effect of JLC.

The research provides some theoretical implications for learning and innovation generation in global supply chains.

The paper provides some managerial implications for how to manage innovations in the global supply chain relationships.

This paper fulfills an identified need to study how innovation generation can be better managed in global supply chain contexts.

The main objective of the present study is to investigate the effects of various lengths and different locations of the heater on the left sidewall in a square lid‐driven cavity.

The non‐dimensional equations are discretized by the finite‐volume method. The upwind scheme and the central difference scheme are implemented for the convection and the diffusion terms, respectively.

On increasing the Richardson number, the overall heat transfer is increased whether the length and the location of the heater is considered or not. Among the various lengths of the heater considered, the total heat transfer is better only for the length LH=1/3 of the heater if it is extended from top or bottom of the cavity. In the case of location of the heater, the average heat transfer enhances for center location of the heater. Existence of the magnetic field suppresses the convective heat transfer and the fluid flow.

The results can be used in the cooling of electronic devices and heat transfer improvement in heat exchangers.

The numerical results obtained here focus on the detailed investigation of flow and temperature field in a discretely heated lid‐driven square cavity. The findings will be helpful in many applications such as heat exchangers and cooling of electronic devices.