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Measures of inequality determine the effectiveness of social and economic policies aimed at reducing inequality and to design effective intervention policies. The purpose of this paper is to focus on poverty reduction and welfare improving impacts of reducing income inequality in the case of Fiji. Using Fiji's Household Income and Expenditure Survey 2002‐2003, a comprehensive analysis is used to measure the level of inequality by household income, quintile income distribution, decomposition of inequality by ethnicity and regional groups, and the household income inequality by source of income.

Several statistical techniques have been applied to investigate the degree of inequality in the household income. These include the Gini coefficient, the Nelson ratio, the concentration index and the Atkinson index. An evaluation by ethnicity, regions and household income sources reflects the level of inequality, and concerns for policies and governance.

The results show that urban households, in particular, experience greater inequalities, in both positive and normative terms. The Indo‐Fijian households experience greater income inequalities than the Fijian households. Decomposition results for the separate factor income components also indicate major sources of inequality. These findings clearly establish that Fiji still has a long way to go in reducing the income gaps between the rich and the poor in both rural and urban households.

The paper is a first study that estimates various measures of inequality in the case of Fiji. The implication of the empirical findings suggests that Fiji is unlikely to achieve its Millennium Development Goal of halving poverty rate by 2015 due to the large income differentials by ethnicity and in the urban‐rural areas.

This paper aims to address how the status consumption tendency of consumers in emerging markets is negatively influenced by five individual traits: self-control, self-actualization, religiosity, future orientation and self-efficacy.

A conjoint experiment measured the importance of certain smartphone product attributes. A latent class regression analysis was then employed to estimate segment-level part-worths using conjoint data collected from 500 Bangladeshi consumers.

The results revealed three segments with members that differ in how they evaluate smartphone product attributes. Those susceptible to a product's brand name (i.e. status seekers) appear to have low self-control, are less religious and are more myopic.

An issue may exist with generalizability, as the analysis was conducted based on data collected in one country and for one product category. However, this study's framework provides direction for future researchers to better understand status consumption in emerging countries.

The findings are useful for marketers selling status products to improve market segmentation and target their offerings more efficiently.

The originality of this paper is twofold. First, it investigates the influencing factors of status consumption that have not been addressed in the extant literature. Second, it is the first to use experimental data to measure segment-level status consumption accurately.

The purpose of this paper is to optimize the environmental growth factors for maximum yield of biomass and protein content of Spirulina platensis var lonor.

Central composite design with four independent variables (namely, Temperature (°C), Light intensity (μmol m⁻² s⁻¹), incubation period (days) and inoculum concentration (per cent)) and two dependent variables (namely, Biomass yield (g/L) and Protein content (per cent)) were used for designing the experiment. The quadratic model was selected for analysis of data using analysis of variance and optimization was performed using response surface methodology (RSM). Central Food Technological Research Institute (CFTRI) medium was used for growing the organisms.

The predicted values of optimization showed that the maximum yield of dried biomass (1.13 g/L) and protein (57.45 per cent) were obtained at temperature of 33.6°C, light intensity of 67.50 μmol m⁻² s⁻¹, incubation period of 16 days and inoculum concentration of 20 per cent. The actual values of biomass (1.23 g/L) and protein (58.46 per cent) yield were almost similar to the predicted responses.

The data obtained with this optimization method help Spirulina researchers/producers to cultivate the S. platensis var lonor strain with maximum biomass and protein content using the CFTRI medium.

Earlier works on optimization of growth conditions for Spirulina biomass, revealed that maximum of two factors were employed at a time using factorial design. But unlike other studies here in this study, optimization of multi factors using at a time using RSM on better biomass and protein yield was employed.

Researchers have been focusing on the predictors of expatriates adjustment and job performance at different levels (individual level, organizational level, and societal level) but still some of the predictors have been ignored or unclear in the expatriate literature. The purpose of this paper is to examine the effects of personality traits (big five) on expatriates adjustment and job performance.

In this regards, data were collected from 201 expatriates working in Malaysia and analyzed by using structural equation modelling with Amos 16.

The findings of this study indicated that personality traits (big five) which include extroversion, openness to experience, agreeableness, conscientiousness, and neuroticism positively influence expatriate adjustment which further influence expatriate performance rated by peers. In other words, expatriates adjustment (work, interaction, and general) mediate the relationship between big five personality traits (extroversion, openness to experience, agreeableness, conscientiousness, and neuroticism) and expatriates job performance (task, relationship building, and overall performance).

The findings of this study will help the researchers to further understand the importance of personality traits required for successful completion of international assignment. Furthermore, the findings also suggest human resource professionals to consider these personality traits before selecting an individual for international assignment. Finally, future research directions have been proposed.

Literature on expatriate adjustment and job performance is still at developing stage. This paper shed light on the individual characteristics which work as predictors for expatriates adjustment and job performance.

Providing high-quality service for airline companies cannot be overstated, as it directly impacts their survival and competitiveness. Hence, there is an increasing need to measure loyalty in the air transport industry. Loyal customers are highly valued as they are less price-sensitive and require minimal communication efforts. Despite this, there is limited knowledge about the factors that influence a passenger’s level of loyalty towards an airline company. Therefore, understanding the precursors of loyalty is essential. This research investigates the serial mediation effect of consumer brand identification (CBI) and perceived value on the relationship between service quality and loyalty.

In this research, quality is related to loyalty through value and CBI. A conclusive research design was adopted to determine whether value and CBI have a serial mediating effect on the quality-loyalty link. The research framework includes a three-path mediation model.

Based on the analysis of 406 questionnaires, the study concludes that a serial mediation effect of CBI and perceived value on the quality-loyalty relationship exists. The research results indicate that CBI has a greater influence on improving customer loyalty than perceived value.

This study contributes to limited research on the serial mediating effect of value and CBI in the quality-loyalty relationship. It also provides empirical evidence on the determinants of loyalty as part of the Turkish aviation industry. This study highlights the significance of CBI as a critical factor for airlines to maintain their competitiveness in the market.

This paper aims to show that a generic bottom-of-the-pyramid (BoP) segmentation strategy does not represent a multi-country BoP consumer profile. A series of multinational entry failures has clearly shown that a one-size-fits-all strategy is inappropriate for emerging markets, especially in Africa.

The study analysed literature defining and profiling BoP consumers at both a global and local level using South Africa as a case study. Being Africa’s largest economy, South Africa was an ideal subject. The findings were then independently triangulated with seven experts for validation.

The results show that the South African BoP has eight characteristics that align with definitions in global BoP consumer literature. An additional five characteristics were identified that were not general BoP characteristics, and that applied specifically to South Africa.

The findings add to the growing evidence that BoP markets are complex and heterogeneous, and they make a case to consider each BoP market individually. As there is yet to be a model to define BoP market differences systematically, this study provides a foundation for new developments in BoP segmentation in Africa and in other emerging markets.

While there is evidence that BoP markets are complex and heterogeneous, there is yet to be a model to begin the process of defining these differences systematically to improve strategic direction for multinational companies and regional decision makers. This study, therefore, provides a foundation for new developments in this field of segmentation in Africa and in other emerging markets globally.

This study aims to investigate the impact of conspicuous consumption on the subjective well-being (SWB) of Indian bottom of the pyramid (BOP) consumers.

This study followed a qualitative phenomenological approach. Focus group discussions were conducted with 72 Indian BOP consumers. Thematic analysis resulted in 21 categories and 9 themes.

This study revealed three distinct categories of consequences related to the effects of conspicuous consumption on SWB at the BOP. Conspicuous consumption can either enhance or diminish the BOP consumers’ SWB and sometimes even simultaneously have constructive and adverse effects (a double-edged sword). This study presents a conceptual model examining the consequences of conspicuous consumption at the BOP through the lenses of social comparison and compensatory consumption theories.

The literature has classified the consequences of conspicuous consumption at the BOP as constructive or adverse effects. This study reveals that conspicuous consumption at the BOP can be a double-edged sword. This study indicates that social comparison drives compensatory consumption at the BOP, which impacts the SWB of BOP consumers. Such an amalgamation of the theories of conspicuous consumption, social comparison and compensatory consumption is the unique contribution of this research. The implications for practice and policy are discussed.

The market-based approach to catering for the poor mainly focusses on companies making profits while helping the poor enhance their lives. This concept presented the possibility of there being a ‘fortune’ to make at the Bottom of the Pyramid (BoP) market that was an opportunity for both businesses and consumers. The notion of the BoP market has been widely studied using urban and rural contexts as distinct classifications; yet many argue that the opportunity does not in fact exist in the rural BoP markets. In this chapter the authors examine the prospects in the rural BoP in Sri Lanka through a qualitative study using insights provided by industry practitioners who operate at the BoP level. Findings show that a large percentage of the income of multinational companies is derived from rural BoP markets. Compared to the urban sector, the rural BoP market indicates relatively higher disposable income and is viewed as an attractive market segment by industry practitioners. The findings also show that rural BoP people have more resources and skills than their urban counterparts, although the former commonly have lower levels of education. Moreover, the youth segment in both the urban and rural BoP markets was found to heavily consume social media. The authors conclude their discussion by providing several key proposals for organisations looking to seize opportunities in this market.

The study aims to present a systematic literature review (SLR) to understand the current status of research on social media usage among the bottom of the pyramid (BOP). The purpose of this study is to identify the research gaps in this domain and review future research agendas by using theory, context, characteristics and methods [TCCM] framework.

An SLR, keywords co-occurrence and TCCM analysis were used to analyse and synthesize insights from 44 studies gained from Web of Science and Scopus databases.

The findings suggest that the USA and India are popular contexts for studying BOP. The BOP population uses social media to gain utilitarian, hedonic and social values. Further, social media can help BOP explore “entrepreneurship” opportunities, value co-creation and bring innovations.

This study expands the intellectual boundaries of social media at BOP and suggests multidisciplinary research. Additionally, adopting novel theoretical lenses helped determine social media's impact on BOP.

The purpose of this paper is to develop FT‐NIR technique for determination of moisture content in bael pulp.

Calibration and validation sets were designed for the conception and evaluation of the method adequacy in the range of moisture content 70 to 95 per cent (wb). The prediction models based on partial least squares (PLS) regression, were developed in the near‐infrared region (4,000‐2,500cm^‐1). Conventional criteria such as the R², the root mean square errors of cross validation (RMSECV), root mean square errors of estimation (RMSEE) as well as the number of PLS factors were considered for the selection of three pre‐processing (vector normalization, minimum‐maximum normalization and multiplicative scatter correction) methods.

The best calibration model was developed with min‐max normalization (MMN) spectral pre‐processing (R²=99.3). The MMN pre‐processing method was found most suitable and the maximum coefficient of determination (R²) value of 0.993 was obtained for the calibration model developed. The developed results indicated that FTNIR spectroscopy could be used for rapid detection of moisture content in bael pulp samples without any sample destruction.

The research in this paper is useful for the quick detection of moisture content of bael fruit pulp during processing.