International brands in emerging markets: the myths of segmentation

2015 ◽  
Vol 32 (6) ◽  
pp. 783-796 ◽  
Author(s):  
Arry Tanusondjaja ◽  
Luke Greenacre ◽  
Melissa Banelis ◽  
Oanh Truong ◽  
Taylah Andrews

Purpose – International brands are expanding their business into emerging markets seeking new consumers for their products. Multiple research studies suggest that there are two key differentiators between developed and emerging markets that managers must take into account. These are that consumers differentiate between local and international brands, and that consumer segments differ between emerging and developed markets. This paper refutes these myths. The paper aims to discuss these issues. Design/methodology/approach – The authors examine large-scale data of purchase behaviour across seven countries and six product categories through telephone or online data collection. Surveys conducted in conjunction with research consulting projects form the basis of data collection, with samples skewing towards middle-income population from urban areas within the emerging markets. The different survey methods used support the empirical generalisability of the findings. Findings – The authors find that brand user profiles in emerging markets rarely differ between local and international brands across age, income and gender. Differences in segmentation are related to geography – which is likely a factor of infrastructure differences. When brand users are compared, their attitudes towards the brands are also very similar between local and international brands across several attitudinal measures: “high quality”, “value for money”, “meet/understand my needs”, “affordability” and “trustworthiness”. Originality/value – The research highlights that consumers in emerging markets need not be segmented based on their brand purchasing behaviour when it comes to local and international brands. This is in line with a growing body of literature in consumer segmentation and in contrast to a considerable amount of traditional literature on emerging markets.

2019 ◽  
Vol 17 (2) ◽  
pp. 128-144
Author(s):  
B. Tyr Fothergill ◽  
William Knight ◽  
Bernd Carsten Stahl ◽  
Inga Ulnicane

Purpose This paper aims to critically assess approaches to sex and gender in the Human Brain Project (HBP) as a large information and communication technology (ICT) project case study using intersectionality. Design/methodology/approach The strategy of the HBP is contextualised within the wider context of the representation of women in ICT, and critically reflected upon from an intersectional standpoint. Findings The policy underpinning the approach deployed by the HBP in response to these issues parallels Horizon 2020 wording and emphasises economic outcomes, productivity and value, which aligns with other “equality” initiatives influenced by neoliberalised versions of feminism. Research limitations/implications Limitations include focussing on a single case study, the authors being funded as part of the Ethics and Society Subproject of the HBP, and the limited temporal period under consideration. Social implications The frameworks underpinning the HBP approach to sex and gender issues present risks with regard to the further entrenchment of present disparities in the ICT sector, may fail to acknowledge systemic inequalities and biases and ignore the importance of intersectionality. Shortcomings of the approach employed by the HBP up to March, 2018 included aspects of each of these risks, and replicated problematic understandings of sex, gender and diversity. Originality/value This paper is the first to use an intersectional approach to issues of sex and gender in the context of large-scale ICT research. Its value lies in raising awareness, opening a discursive space and presenting opportunities to consider and reflect upon potential, contextualised intersectional solutions to such issues.


2019 ◽  
Vol 32 (3) ◽  
pp. 516-537 ◽  
Author(s):  
Konstantina Spanaki ◽  
Zeynep Gürgüç ◽  
Catherine Mulligan ◽  
Emil Lupu

Purpose The purpose of this paper is to unfold the perceptions around additional security in cloud environments by highlighting the importance of controlling mechanisms as an approach to the ethical use of the systems. The study focuses on the effects of the controlling mechanisms in maintaining an overall secure position for the cloud and the mediating role of the ethical behavior in this relationship. Design/methodology/approach A case study was conducted, examining the adoption of managed cloud security services as a means of control, as well as a large-scale survey with the views of IT decision makers about the effects of such adoption to the overall cloud security. Findings The findings indicate that there is indeed a positive relationship between the adoption of controlling mechanisms and the maintenance of overall cloud security, which increases when the users follow an ethical behavior in the use of the cloud. A framework based on the findings is built suggesting a research agenda for the future and a conceptualization of the field. Research limitations/implications One of the major limitations of the study is the fact that the data collection was based on the perceptions of IT decision makers from a cross-section of industries; however the proposed framework should also be examined in industry-specific context. Although the firm size was indicated as a high influencing factor, it was not considered for this study, as the data collection targeted a range of organizations from various sizes. Originality/value This study extends the research of IS security behavior based on the notion that individuals (clients and providers of cloud infrastructure) are protecting something separate from themselves, in a cloud-based environment, sharing responsibility and trust with their peers. The organization in this context is focusing on managed security solutions as a proactive measurement to preserve cloud security in cloud environments.


2021 ◽  
Author(s):  
Jesse Cui ◽  
Tingdan Zhang ◽  
Dandan Pang ◽  
Kokil Jaidka ◽  
Garrick Sherman ◽  
...  

Modeling differential stress expressions in urban and rural regions in China can provide a better understanding of the effects of urbanization on psychological well-being in a country that has rapidly grown economically in the last two decades. This paper studies linguistic differences in the experiences and expressions of stress in urban-rural China from Weibo posts from over 65,000 users across 329 counties using hierarchical mixed-effects models. We analyzed phrases, topical themes, and psycho-linguistic word choices in Weibo posts mentioning stress to better understand appraisal differences surrounding psychological stress in urban and rural communities in China; we then compared them with large-scale polls from Gallup. After controlling for socioeconomic and gender differences, we found that rural communities tend to express stress in emotional and personal themes such as relationships, health, and opportunity while users in urban areas express stress using relative, temporal, and external themes such as work, politics, and economics. These differences exist beyond controlling for GDP and urbanization, indicating a fundamentally different lifestyle between rural and urban residents in very specific environments, arguably having different sources of stress. We found corroborative trends in physical, financial, and social wellness with urbanization in Gallup polls.


2018 ◽  
Author(s):  
Kara Sewalk ◽  
Gaurav Tuli ◽  
Yulin Hswen ◽  
John S Brownstein ◽  
Jared B Hawkins

BACKGROUND Traditional large-scale assessments of patient care in the US have difficulty in representing all aspects of health, beyond hospital care. There are documented differences in access to healthcare across the US. It is important to understand disparities in healthcare to better inform policy makers and healthcare administrations to improve quality of care provided. Previous research indicates online data is available from Twitter about patient experiences and opinions of their healthcare. Understanding patient views through sentiment analyses of Twitter data can be used to supplement traditional feedback surveys. OBJECTIVE We aim to provide a characterization of patient experience sentiments across the US on Twitter over a four year period. METHODS We developed a set of software components to auto-label and examine the patient experience Twitter dataset. The set includes: (I) a classifier to determine patient experience tweets, (II) a geolocation inference engine for social data, (III) a modified version of a sentiment classifier from the literature, and (IV) another engine to determine if the tweet is from a metro or non-metro area. RESULTS Of the 27.3 million tweets collected between February 2013 and February 2017 using a set of patient experience related keywords, the classifier was able to identify 2,779,555 tweets that were labeled as patient experience. After running the patient experience tweets through the geolocation classifier, we identified 876,384 tweets by approximate location to use for spatial analyses. At the national level, we observed 27.7% of positive, 36.3% neutral, 36% of negative Patient Experience tweets. Overall, the average sentiment polarity shifted towards less negative every year across all the regions in the country. The patient experience tweet rate also decreased across all the states over the four year study period. We also observed the sentiment of tweets to have a lower negative fraction during daytime hours, whereas the sentiment of tweets posted between 8pm and 10am tend to have a higher negative fraction. Additionally, tweet sentiment varied by region and by metro vs. non-metro analyses. CONCLUSIONS This study presents methodologies for a deeper understanding of online discussion related to patient experience across space and time, and demonstrates how Twitter can provide a unique and unsolicited perspective from users, which may not be captured from traditional survey methods for understanding patient views.


2020 ◽  
Vol 48 (6) ◽  
pp. 591-607
Author(s):  
Stephan Zielke ◽  
Marcin Komor

PurposeThis paper analyses three strategies in customers’ use to afford consumption in a developed and an emerging market for different product groups. The strategies are: (1) usage of loyalty cards, (2) usage of credit cards and (3) usage of long-term credits.Design/methodology/approachMall intercept surveys conducted in Poland (emerging market) and Germany (developed market) provide data for testing a set of hypotheses using ANOVAs.FindingsResults show that customers in emerging markets show no differences in the usage of loyalty cards for product categories with high shopping frequency (groceries) compared to developed markets, while in all other product categories loyalty card usage is stronger. Results show further that in low price categories, customers in emerging markets use credit card payments more often compared to customers in developed markets. In high price categories, they use credit cards less often, but long-term credits more often.Research limitations/implicationsResults have implications for the design of loyalty programs and payment options in different markets. Results have also implications for public policy regarding concerns about increasing private debt in emerging countries.Originality/valueThis paper suggests a cost-benefit framework where customers in emerging countries perceive benefits of loyalty cards and credit options higher, while they are willing to bear higher costs. As a result, effects of product category characteristics on usage that are observable in developed markets do not exist in emerging markets.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanne Holvoet ◽  
Liselot Hudders ◽  
Laura Herrewijn

Purpose This study aims to explore whether parents perceive themselves as responsible for helping their teenage children (aged 13–17 years) cope with the persuasive effects of personalized advertising and the related process of online data collection. In addition, this study aims to examine how this parental responsibility is shaped. Design/methodology/approach A survey among parents (N = 354) of teenagers between the ages of 13 and 17 years was conducted. Findings Exploratory analyses showed that parents are highly concerned about their teens’ exposure to personalized advertising and online data collection, and that they consider themselves and the commercial companies behind these practices as responsible for protecting teenagers. Furthermore, the study showed that parents who believe that their children have higher levels of media skills presume less negative and more positive influences of personalized advertising on their children. The presumed negative influences increase parental concerns and responsibility, while presumed positive influences decrease parental concerns and responsibility. Originality/value Most previous studies on personalized advertising and online data collection were conducted among the teenagers themselves or discussed the regulatory framework concerning this topic. This study, however, focuses on one of the most important socialization agents that could help teenagers cope with these practices. To the best of the authors’ knowledge, this is one of the first studies to examine parents’ views regarding personalized advertising targeting teenagers and it provides insights in how parents perceive their own responsibility.


2017 ◽  
Vol 69 (4) ◽  
pp. 426-440 ◽  
Author(s):  
Selcen Ozturkcan ◽  
Nihat Kasap ◽  
Muge Cevik ◽  
Tauhid Zaman

Purpose Twitter usage during Gezi Park Protests, a significant large-scale connective action, is analyzed to reveal meaningful findings on individual and group tweeting characteristics. Subsequent to the Arab Spring in terms of its timing, the Gezi Park Protests began by the spread of news on construction plans to build a shopping mall at a public park in Taksim Square in Istanbul on May 26, 2013. Though started as a small-scale local protest, it emerged into a series of multi-regional social protests, also known as the Gezi Park demonstrations. The paper aims to discuss these issues. Design/methodology/approach The authors sought answers to three important research questions: whether Twitter usage is reflective of real life events, what Twitter is actually used for, and is Twitter usage contagious? The authors have collected streamed data from Twitter. As a research methodology, the authors followed social media analytics framework proposed by Fan and Gordon (2014), which included three consecutive processes; capturing, understanding, and presenting. An analysis of 54 million publicly available tweets and 3.5 million foursquare check-ins, which account to randomly selected 1 percent of all tweets and check-ins posted from Istanbul, Turkey between March and September 2013 are presented. Findings A perceived lack of sufficient media coverage on events taking place on the streets is believed to result in Turkish protestors’ use of Twitter as a medium to share and get information on ongoing and planned demonstrations, to learn the recent news, to participate in the debate, and to create local and global awareness. Research limitations/implications Data collection via streamed tweets comes with certain limitations. Twitter restricts data collection on publicly available tweets and only allows randomly selected 1 percent of all tweets posted from a specific region. Therefore, the authors’ data include only tweets of publicly available Twitter profiles. The generalizability of the findings should be regarded with concerning this limitation. Practical implications The authors conclude that Twitter was used mainly as a platform to exchange information to organize street demonstrations. Originality/value The authors conclude that Twitter usage reflected Street movements on a chronological level. Finally, the authors present that Twitter usage is contagious whereas tweeting is not necessarily.


2020 ◽  
Vol 10 (3) ◽  
pp. 1-34
Author(s):  
Adrian David Saville ◽  
Philip Powell ◽  
Tashmia Ismail-Saville ◽  
Morris Mthombeni

Learning outcomes For discussion of social entrepreneurship in middle-income economies, emerging markets generally and Africa, specifically, Quali Health presents interesting questions about entrepreneurial funding, scaling and the interplay between social entrepreneurial activities and the informal sector. Case overview/synopsis South Africa’s primary health outcomes do not correspond to the country’s spending on public health, with South Africa ranking among the worst globally in the incidence of tuberculosis, HIV prevalence, infant mortality and life expectancy. In part, this poor outcome can be explained by high inequality in access to healthcare, which reflects South Africa’s grossly skewed income and wealth distributions, with the bulk of the country’s population reliant upon an underfunded, inefficient and poorly managed public health system. This substandard service for the working poor in South Africa’s townships with high population densities offered a profitable entrepreneurial opportunity to provide affordable and effective primary care with vast gains in quality and outcomes improved dignity for patients. After receiving her MBA, physician and entrepreneur Dr Nthabiseng Legoete self-funded the launch of Quali Health in 2017. The business model set out to disrupt healthcare delivery for South Africa’s poorest citizens. Drawing patients from the working poor in Diepsloot, Quali Health’s inaugural site was cash flow positive within five months when the facility hit only 30% of installed service capacity. With quick success, Dr Legoete faced the strategic question of how fast to scale and finance the expansion. She also considered a new micro-insurance product for her clientele. Complexity academic level For discussion of social entrepreneurship in middle-income economies, emerging markets generally and Africa, specifically, Quali Health presents interesting questions about entrepreneurial funding, scaling and the interplay between social entrepreneurial activities and the informal sector. Supplementary materials Teaching notes are available for educators only. Subject code CSS: 3 Entrepreneurship.


2015 ◽  
Vol 4 (1) ◽  
pp. 103-128 ◽  
Author(s):  
James Earnest

Purpose – Rehabilitation and reconstruction of social and economic infrastructure in a post-conflict environment are complex, long-debated issues in development cooperation. In addition to war creating large-scale human suffering, generating refugees, displacing populations, engendering psychological distress, obliterating infrastructure and transforming the economy, in post-conflict situations, deepening chaos and disorder can be found at the highest social, economic and political levels; serious developmental challenges remain insufficiently addressed. Repairing war-damaged infrastructure in order to reactivate the local economy is a challenge for all post-conflict countries. The paper aims to discuss these issues. Design/methodology/approach – The study was designed to examine planning and execution of post-conflict reconstruction (PCR). The use of a mixed-method research approach combining both quantitative and qualitative data collection was used to explore planning and implementation of PCR infrastructure projects in Kosovo. The data collection in the field was undertaken for a period of eight weeks, from July to September 2008. A total of 420 respondents were involved in the study process, as follows: key informants (four), pilot test (12), semi-structured interviews (36), project manager/engineers survey (231), chief of mission/country director survey (117), and focus group (20). To meet the needs of the society and recognise the required functional components of project management, the overall contexts of managing projects in a post-conflict environment have been discussed in the study. Findings – Planning and implementing reconstruction projects in areas affected by conflict have proven to be far more challenging than expected and responses by practitioners, aid agencies, and government regarded as inadequate. The changing political, economic, and social factors in Kosovo after the war in 1999 have had a significant influence on the limited adoption of a project management methodology in development and reconstruction projects. The findings from the exploratory study were aimed at improving understanding of the planning, pre-designing, and implementation of infrastructure projects. The findings indicated a need to promote a better understanding of how projects are undertaken at all levels of the organisation, and to describe processes, procedures, and tools used for the actual application of projects. The findings of the study identified a poor quality of planning and implementation of reconstruction projects in an environment of complexity, change, and uncertainty. The study also raised some very significant findings for a broader approach to community involvement in project identification, planning, and implementation. Infrastructure projects implemented in Kosovo were used to develop a conceptual framework for designing projects and programmes more likely to yield positive outcomes for post-conflict society. Originality/value – The study was done by the researcher in Kosovo.


2017 ◽  
Vol 29 (11) ◽  
pp. 2962-2976 ◽  
Author(s):  
Jiang Wu ◽  
Panhao Ma ◽  
Karen L. Xie

Purpose Trust has been widely recognized as the crucial factor of consumer purchase intention when shopping on peer-to-peer short-term rental platforms where hosts and renters are strangers. However, the specific attributes of hosts that help build trust with potential renters and drive their purchase of short-term rentals remain unknown. This study aims to explore the effects of host attributes on renter purchases made on Xiaozhu.com, one of the top short-term rental platforms in China, while controlling for short-term rental characteristics. Design/methodology/approach A crawler program was developed by Python to collect the host attributes and their short-term rental characteristics of 935 hosts in Beijing from November 18, 2015 to February 14, 2016. The authors use Poisson regression models to estimate the effects of host attributes on renter reservations. They also conduct a series of robustness checks for the estimated results. Findings The authors found that host attributes such as the time of reservation confirmation, the acceptance rate of renter reservations, the number of listings owned, whether a personal profile page is disclosed and gender of the host significantly affect renter reservations, whereas the response rate of the host does not influence renters when purchasing short-term rentals online. Originality/value This study identifies which host attributes are perceived as trustworthy and affect renters’ purchase decisions, a topic of both theoretical and practical importance but currently less researched. The findings add to emerging literature by providing insights on trust-building in the peer-to-peer economy. Useful suggestions are also provided on strengthening the trust mechanism on short-term rental platforms to facilitate peer-to-peer transactions. Notably, the study is the first attempt to examine the perception of Chinese users toward short-term rentals despite its global prevalence. The analytical insights revealed from large scale but granular online observations data of host attributes and actual renter reservations greatly supplement findings of extant literature using survey and experiment approaches.


Sign in / Sign up

Export Citation Format

Share Document