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High-resolution remote sensing images possess a wealth of semantic information. However, these images often contain objects of different sizes and distributions, which make the semantic segmentation task challenging. In this paper, a bidirectional feature fusion network (BFFNet) is designed to address this challenge, which aims at increasing the accurate recognition of surface objects in order to effectively classify special features.

There are two main crucial elements in BFFNet. Firstly, the mean-weighted module (MWM) is used to obtain the key features in the main network. Secondly, the proposed polarization enhanced branch network performs feature extraction simultaneously with the main network to obtain different feature information. The authors then fuse these two features in both directions while applying a cross-entropy loss function to monitor the network training process. Finally, BFFNet is validated on two publicly available datasets, Potsdam and Vaihingen.

In this paper, a quantitative analysis method is used to illustrate that the proposed network achieves superior performance of 2–6%, respectively, compared to other mainstream segmentation networks from experimental results on two datasets. Complete ablation experiments are also conducted to demonstrate the effectiveness of the elements in the network. In summary, BFFNet has proven to be effective in achieving accurate identification of small objects and in reducing the effect of shadows on the segmentation process.

The originality of the paper is the proposal of a BFFNet based on multi-scale and multi-attention strategies to improve the ability to accurately segment high-resolution and complex remote sensing images, especially for small objects and shadow-obscured objects.

This research aims to comprehend the factors that impact the emerging inclination of consumers toward mobile finance technology (fintech) services over banking institutions. The study focuses on users' demographics and psychographics to delineate their unique segments and profiles.

The study proposes a segmentation and profiling framework that includes variance analysis, two-step cluster analysis and pairwise statistical tests. This framework is applied to a dataset of customers using a range of mobile fintech services, specifically robo-investment, peer-to-peer (P2P) payments, robo-advisory and digital savings. The analysis creates distinct customer profile clusters, which are later validated using pairwise statistical tests based on segmentation output.

Empirical results reveal that P2P payment service users exhibit a higher frequency of usage, proficiency and intention to continue using the service compared to users of robo-investment or digital savings platforms. In contrast, individuals utilizing robo-advisory services are identified to have a significantly greater familiarity and intention to sustain engagement with the service compared to digital savings users.

The findings provide financial institutions, especially traditional banks with actionable insights into their customer base. This information enables them to identify specific customer needs and preferences, thereby allowing them to tailor products and services accordingly. Ultimately, this understanding may strategically position traditional banks to maintain competitiveness amidst the increasing prominence of fintech enterprises.

This research provides an in-depth examination of customer segments and profiles within the mobile fintech services sphere, thus giving a nuanced understanding of customer behavior and preferences and generating practical recommendations for banks and other financial institutions. This study thereby sets the stage for further research and paves the way for developing personalized products and services in the evolving fintech landscape.

This is amongst the first works to develop a technographic segmentation of smartphone users attending music festivals based on attitudes, motivations and usage patterns. We also aim to describe festivalgoers’ characteristics.

The data were collected from 522 festivalgoers who attended the Rainforest World Music Festival (RWMF) in Malaysia. A two-stage cluster analysis of Ward’s method and k-means was applied to develop technographic segmentation during the festival. Using discriminant analysis, we confirmed that each festivalgoer’s characteristics differ amongst groups.

Four technographic segments were developed: alarm hitters, technological tickers, plug pullers and fuse blowers. The results confirmed that festivalgoers had distinct characteristics and preferences based on smartphone use.

We extend previous research on the technographic segmentation of smartphones and festivalgoers. We highlighted the limitations of cluster analysis in terms of stability to produce a suitable number of segments and to include other festivals. The generalisability of the results may be constrained by the time gap between data collection and publication.

Our results can help marketing managers understand the needs of segments by selecting appropriate advertisements and promotional tools that appeal directly to the desired target segments.

This study will help local communities increase their revenue and job opportunities. The culture of music festivals for the next generation can be sustained and promoted by local and international festival lovers.

This study is the first to present festivalgoers' use of the technographic segmentation term in music festivals.

This study aims to develop a practical and effective approach for market segmentation using customer experience dimensions derived from online reviews.

The research investigates over 6,500 customer evaluations of food establishments on Taiwan’s Yelp platform through the Latent Dirichlet allocation (LDA) data mining approach. By using the LDA-derived experience dimensions, cluster analysis discloses market segments. Subsequently, sentiment analysis is used to scrutinize the emotional scores of each segment.

Mining online review data helps discern divergent and new customer experience dimensions and sheds light on the divergent preferences among identified customer segments concerning these dimensions. Moreover, the polarity of sentiments expressed by consumers varies across such segments.

Analyzing customer attributes extracted from online reviews for segmentation can enhance comprehension of customers’ needs. Further, using sentiment analysis and attributes of online reviews result in rich profiling of the identified segments, revealing gaps and opportunities for marketers.

This research presents a new approach to segmentation, which surmounts the restrictions of segmentation methods dependent on survey-based information. It contributes to the field and provides a valuable means for conducting customer-focused market segmentation. Furthermore, the suggested methodology is transferable across different sectors and not reliant on particular data sources, creating possibilities in diverse scenarios.

This case study covers marketing concepts, including marketing mix, segmentation, targeting and brand positioning and communication. After completion of the case study, the students will be able to understand the importance of segmentation and targeting; recognize the differences between business-to-business (B2B) and business-to-customers (B2C) segments; gain knowledge about the points of parity and points of difference while positioning; and examine the elements of a marketing mix.

The case centered around Mr. Ashvinder Singh, founder and director of Uni Style Image (USI), who initiated the polo T-shirt business in 1990 in Okhla, Delhi. The brand expanded across the country, but from 2010, USI faced fluctuating demand due to the rise of online marketing and intense competition from global fashion brands. Revenues dropped massively, leading to a significant downsizing from over 300 employees to just 11 by the end of fiscal year 2016–2017. In 2018, Singh explored the B2B model; however, the onset of the COVID-19 pandemic in 2020 impacted many small- and mid-sized apparel businesses, including USI. In the fiscal year 2021–2022, the B2B segment accounted for 90% of total revenue, but the business size could not cover significant operating expenses. Despite only 10% of revenue coming from the B2C segment, Singh wanted to leverage the online space. In September 2022, Singh closed his factory in Noida, National Capital Region, Delhi. Amid the uncertainty, Singh explored various opportunities in the Indian market. In 2023, he even engaged a consultancy for expertise in marketing initiatives. He had to choose the target segment/s, develop a positioning strategy and create an effective marketing mix with very limited resources.

This case is designed for undergraduate and postgraduate students, offering a valuable teaching tool for essential marketing concepts, such as the marketing mix, segmentation, positioning and brand communication. It can be used in both core marketing courses and elective courses like brand management, consumer behavior and integrated marketing communication. The decision dilemma presented in the case enriches the understanding of these concepts, making it a valuable resource for marketing education.

Teaching notes are available for educators only.

CSS 8: Marketing.

This paper presents a decision-making framework for e-banking operations, based on the Quality Function Deployment and the Analytic Hierarchy Process. The main research question is the development of a framework and its potential contributions in supporting decision makers in implementing quality strategies that will encourage the usage of e-banking services (EBS).

The introduced framework comprises four distinct stages which include criteria determination, field surveys and EFA, QFD application including AHP and finally sensitivity analysis investigating the dynamic nature of the environment. AHP determines the intensity of the relationship between e-banking quality criteria and customer banking activities. A novel House of Quality (HoQ) is proposed, based on a market mix founded on key e-banking activities, and sensitivity analysis is used to investigate alternative scenarios. To illustrate the steps of applying this framework, the authors use a convenience sample from the Greek e-banking sector.

Through the illustrated example is supported that the proposed approach can reveal valuable information when contemplating strategies to improve e-banking usage and expand its acceptance. In addition, sensitivity analysis leads to purposeful insights regarding the effects of market segmentation and/or target settings on the ranking of e-banking quality/selection criteria provided by the HoQ. In the specific numerical example, the most critical quality factors were “Security and Reliability”, “Convenience”, “Design”, “Pricing” and “Skills,” although different rankings night well appear in different contexts or geographical regions. Moreover, sensitivity analysis showed that these results depend on the specific market mix and targets. As mentioned above, the implementation of the framework in different geographical regions or e-service sectors might certainly reveal different critical factors.

Discussed in the paper body.

Discussed in the paper body.

The paper presents a well-defined four stage framework for improving EBS penetration. It utilizes a structured qualitative and quantitative approach and outlines and ranks e-banking quality factors stemming from the market mix and allows assessment of alternative scenarios through sensitivity analysis.

This study aims to examine the strategy of TV9 Nusantara, one of the local televisions in Indonesia, marketing its religious programs when soap operas are the most popular television programs in Indonesia.

This study used a descriptive qualitative method by collecting data using in-depth interviews, observation and documentation.

TV9 Nusantara used a counter-programming strategy to seize viewers from the competing television stations; the prime time is also set differently from other televisions as well as implements a head-sterling strategy to make the audiences loyal to watching TV9 Nusantara programs and not switch the channels.

In Indonesia, three types of television stations are broadcast nationally, publicly or government-owned, central and regional and local television. This study only focused on local television stations whose main program is religious, especially Islam.

The results of this study can underline the importance of establishing segmentation, targets, differentiation and market positioning as well as efforts to create products, prices, places and promotions for journalistic products, especially TV broadcast products and production processes that follow Sharia principles.

This study can inform the public regarding TV Broadcasting products and production processes following Sharia principles.

This study examined the implementation of marketing strategies and the marketing mix on local television, especially television that broadcasts programs that are not the favorites of most viewers.

To write this case, several research methods were used. Most importantly, field interviews were conducted with employees at Banati foundation. The interviews were held with three different employees at different points in time, including the marketing manager, the executive manager and the head teacher working with the girls at the foundation. These interviews helped provide details regarding the foundation’s culture which is hard to get from secondary sources. In addition to this, one of the researchers was a volunteer at the foundation for 6 months before starting this research and so had strong background knowledge on the workings of the entity. Finally, secondary sources were used to provide accurate historical information and numerical statistics. These sources included the foundation’s website and annual reports as well as newspaper interviews with the Banati’s Chairperson.

This case poses the marketing dilemma faced by Banati Foundation, a non-profit organization (NPO) based in Egypt. Banati has offered child protection services to girls at risk since its establishment in 2009. In particular, the case focuses on the foundation’s strategy and operations in 2020. Since its inception, the foundation has been led by the main founder, Dr Hanna Abulghar. Under her leadership, the foundation flourished and won several international awards. The foundation became a home, a school and a support system to the girls who were once homeless. Yet even though Banati succeeded in improving the lives of many girls at risk, the foundation still sought ways to sustain its funds and to empower the girls to thrive after they left the foundation. As the key person responsible for setting the foundation’s direction and strategy, Dr Hanna faced marketing challenges that include overcoming social stigma, diversifying the donor base and increasing fundraising.

This case is suitable for undergraduate and Master’s students who already have an understanding of the basic marketing principles such as the marketing mix (4Ps)/market segmentation and have taken an introductory marketing course previously. Furthermore, the case presents an opportunity to apply marketing concepts such as segmentation, targeting, positioning and promotion within the context of social and NPO marketing. It is ideal for students studying social marketing, NPO marketing strategy, cause marketing, fundraising techniques and social inclusion.

This study aims to examine the phenomenon of self-perceived age (SPA) identity for Generation X (GenX) women in the UK. Squeezed between the more ubiquitous “boomer” and “millennial” cohorts, and now with both gender and age stigma-related challenges, this study looks to provide insights for understanding this group for marketing.

This study adopts an existential phenomenological approach using a hybrid structured/hermeneutic research design. Data is collected using solicited diary research (SDR) that elicits autoethnographic insights into the lived experiences of GenX women, these in the context of SPA.

For this group, the authors find age a gendered phenomenon represented via seven “age frames”, collectively an “organisation of experience”. Age identity appears not to have unified meaning but is contingent upon individuals and their experiences. These frames then provide further insights into how diarists react to the stigma of gendered ageism.

SDR appeals to participants who like completing diaries and are motivated by the research topic. This limits both diversity of response and sample size, but coincidentally enhances elicitation potential – outweighing, the authors believe, these constraints. The sample comprises UK women only.

This study acknowledges GenX women as socially real, but from an SPA perspective they are heterogeneous, and consequently distributed across many segments. Here, age is a psychographic, not demographic, variable – a subjective rather than chronological condition requiring a nuanced response from marketers.

To the best of the authors’ knowledge, this is the first formal study into how SPA identity is manifested for GenX women. Methodologically, this study uses e-journals/diaries, an approach not yet fully exploited in marketing research.

This case study will allow students to learn about effective segmentation and how to choose an appropriate segment, analyse the attractiveness of the target market by using five-forces analysis and explore business growth alternatives by using Ansoff’s growth matrix.

The Left-Out Store was an online shop that sold products exclusively for left-handers. Maitri Wadher, the proprietor of the store, being a left-handed person and driven by her childhood experiences, started the store to help left-handed people find products for their use. She started the online-only store in September 2018, and in October 2022, she found that, despite the COVID-19 pandemic having abated, her store had not grown as expected. How, then, should she push for growth? Was the niche segment substantial enough? Was her target market attractive? Should she penetrate the market or go for market development? What should she do?

PG level (MBA/PGDM).

Teaching Notes are available for educators only.

CSS 8: Marketing.