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The purpose of this paper is to verify the consumer preference and choice behavior; also determine the speculative low loyalty behavior of consumers belonging to generation Y sub segment – adults (age 19‐28) and their perceptions regarding various brands.

Data were collected from 100 university students in Pakistan belonging to the age group 19‐28 years old. The research was concentrated in the mobile phone service sector. Data analysis was conducted using statistical analysis software SPSS.

The results indicate that stated preference set and actual choice behavior are dissimilar. The generation Y adults sub group contra‐indicates loyalty characteristics as high in a developing market context against the established wisdom of low loyalty found in developed countries. The perceptual maps of brands indicate no distinct personality characteristics necessitating marketers to rethink their strategies in this service industry. Finally, this research reconciles the gap between loyalty, stated preference and distinctiveness of brand personalities.

One limitation pertains to the target segment of 19‐28 years old. Future research could be expanded to other demographic segments and use other products and brands.

The major contribution of this paper is that it will advance theory regarding generation‐based characteristics to a less developed economy context by verifying theoretical proposition with regard to brand preferences and revealed brand choices. Second, marketers would be able to focus their promotions keeping in mind the perception and loyalty factors.

This paper aims to understand the motivations behind married men preferring sons and to quantify the association between a couple’s stated son preferences. Son preference is an endemic problem in India. With half a million female foetuses aborted each year, the root causes of son preference in India have been widely studied. Little is known, however, on how couples mutually decide on their desired child sex-ratio.

Using data from the third National Family and Health Survey, the authors apply three-stage least square and optimal general method of moment methods to demonstrate association. Robustness checks are performed on plausibly exogenous instrumental variables and selection issues in the marriage market.

The authors show that their spouse's son preference is by far the most significant factor associated with a person's own stated son preference. The association between spouse's stated son preference is observed only for couples being married for three to five years. It is postulated that this is the critical period when sex-selective abortion decisions are being made.

The focus of existing empirical studies is nearly always on the mother's son preference only. The hypothesis is that spouses mutually influence each other’s preferences and models estimating determinants of son preference should include preferences of both spouses. To the best of the authors’ knowledge, this is the first attempt to understand the motivations of married men towards preferring sons and quantify the association between spouse's stated son preference and respondent's stated son preference.

The popularity of wealth management in Taiwan has unleashed tense competition among financial advisors. Consumers are now more conscious of their financial services purchasing behavior. This paper aims to provide insights into local-specific investors’ characteristics and consumers’ financial product preferences and to introduce a different concept to identify localization-suitable products.

To understand customers’ preferred products, the paper examines consumers’ financial behavior by analyzing preference characteristics using data collected from Taiwanese investors. The study entailed a questionnaire designed for consumers using the stated preferences method and the multinomial and nested logit models to develop preference models for consumers’ financial products. A statistical test using the t-value, likelihood and ρ² to observe investor preference product reactions was also used.

The study finds that investors are sensitive to the rate of return on investments and performance changes in foreign currency, stock and mutual funds. An elasticity analysis and prediction of the market share among interactive products show that stock and mutual funds are strongly related and the rate of return on stock undoubtedly influences the market.

The stated preference method and inclusion of risk appetite improve our understanding of consumer choice and investors’ financial product preferences and characteristics. The results provide suitable localization product suggestions for financial institutions to help them understand their customers’ behaviors better. This paper’s results are also useful in the context of smart financial services such as financial robot technology.

The use of public procurement as a vehicle for implementing various socioeconomic preference policies has a long history. This article reviews the current state of affairs of procurement preference programs with regard to U.S. state and local governments and analyzes their impact on both the recipients and on the public procurement process. Opportunities for further research are noted, and the authors conclude that the ability to navigate the difficult waters of socioeconomic preferences should be a core competency of state and local public procurement officials.

This paper aims to report on homebuyers’ preferences and willingness to pay for installed home photovoltaic systems. Their influence on the market position of a dwelling is relatively unknown. Considering that expected lifespan of photovoltaic systems is at least 25 years, it is likely that many dwellings with a photovoltaic system will enter the housing market.

Few houses with installed photovoltaic systems have been sold in the market to date. Lack of real market data imposes a method based on the stated preference data. Therefore, the general preferences toward photovoltaic systems are determined by a discrete choice model based on responses of 227 homebuyers in the Eindhoven region, The Netherlands. Further, the model estimates were used to assess the indirect willingness to pay for home photovoltaic systems. This initial willingness to pay is further reassessed with the direct willingness to pay collected in an open-ended questionnaire format.

Results of the model show that the homebuyers’ preferences for home photovoltaic systems are large and significant. In addition to general preferences, this article reports on the taste heterogeneity carried out by separating observations based on the respondents’ characteristics. For example, photovoltaic systems are more appealing to homebuyers in more urban or central neighbourhoods. Further, the results of the direct survey lead to the conclusion that people are probably willing to pay close to the replacement value of the system and only 22 per cent of all respondents did not want to pay anything for the installed photovoltaic system.

These findings are exploratory and they raise a number of questions for further investigations, such as those regarding the real estate value of the installed photovoltaic systems. The reported findings must be regarded as local, thus further research is necessary to understand the impact on European housing markets.

Preferences and willingness to pay for home photovoltaic systems can provide a variety of economic, social and political recommendations to different interested parties such as homeowners, buyers, realtors, retailers, energy companies and governments. For instance, a homeowner would like to know what would be the effect of a photovoltaic system on the housing market.

As per the knowledge of authors, this is the first paper to estimate the impact of an installed photovoltaic system on housing choice, measured by stated choice data in the local housing market. It expands the existing body of knowledge for increasingly important issues of valuing and measuring preferences for photovoltaic systems installed on dwellings.

This study was carried out to analyze the importance of consumer preference data in forecasting demand in apparel retailing.

To collect preference data, 729 hypothetical stock keeping units (SKU) were derived using a full factorial design, from a combination of six attributes and three levels each. From the hypothetical SKU's, 63 practical SKU's were selected for further analysis. Two hundred two responses were collected from a store intercept survey. Respondents' utility scores for all 63 SKUs were calculated using conjoint analysis. In estimating aggregate demand, to allow for consumer substitution and to make the SKU available when a consumer wishes to buy more than one item in the same SKU, top three highly preferred SKU's utility scores of each individual were selected and classified using a decision tree and was aggregated. A choice rule was modeled to include substitution; by applying this choice rule, aggregate demand was estimated.

The respondents' utility scores were calculated. The value of Kendall's tau is 0.88, the value of Pearson's R is 0.98 and internal predictive validity using Kendall's tau is 1.00, and this shows the high quality of data obtained. The proposed model was used to estimate the demand for 63 SKUs. The demand was estimated at 6.04 per cent for the SKU cotton, regular style, half sleeve, medium priced, private label. The proposed model for estimating demand using consumer preference data gave better estimates close to actual sales than expert opinion data. The Spearman's rank correlation between actual sales and consumer preference data is 0.338 and is significant at 5 per cent level. The Spearman's rank correlation between actual sales and expert opinion is −0.059, and there is no significant relation between expert opinion data and actual sales. Thus, consumer preference model proves to be better in estimating demand than expert opinion data.

There has been a considerable amount of work done in choice-based models. There is a lot of scope in working in deterministic models.

The proposed consumer preference-based demand estimation model can be beneficial to the apparel retailers in increasing their profit by reducing stock-out and overstocking situations. Though conjoint analysis is used in demand estimation in other industries, it is not used in apparel for demand estimations and can be greater use in its simplest form.

This research is the first one to model consumer preferences-based data to estimate demand in apparel. This research was practically tested in an apparel retail store. It is original.

Using a discrete choice experiment (DCE), this study aims to better understand the job preference of postgraduate students studying at the Kwame Nkrumah University of Science and Technology-Institute of Distance Learning, Ghana and also rank the attributes of a job they deem important.

The research adopted a positivist epistemological design contextualised within a deductive approach and case study strategy. Primary survey data was collected from a stratified random sample of 128 postgraduate students with multi-sectorial career prospects. Sample students were subjected to a DCE in which their stated preferences were collected using closed-ended questionnaires with 28 pairs of hypothetical job profiles. Respondents’ preferences from the DCE data were then modelled using the conditional logit.

The research reveals that: salary in the range GHC 2,800.00 to GHC 3,400.00 ($1 = GHS 5.3); supportive management; very challenging jobs; and jobs located in the city were the top attributes that were significant and had the most impact in increasing the utility of selecting a particular job. Interestingly, jobs with no extra hours workload were not significant hence, had a negative impact upon student preferences.

This novel research is the first to use a DCE to better elicit preference and trade-offs of postgraduate students in a developing country towards varying job characteristics that have an impact on their future employment decisions. Knowledge advancements made provide invaluable insight to employers and policymakers on the key criteria that should be implemented to retain the best candidate.

The purpose of this paper is to develop a ranking of knowledge management and intellectual capital academic journals.

A revealed preference, also referred to as citation impact, method was utilized. Citation data were obtained from Google Scholar by using Harzing's Publish or Perish tool. The h‐index and the g‐index were employed to develop a ranking list. The revealed preference method was compared to the stated preference approach, also referred to as an expert survey. A comprehensive journal ranking based on the combination of both approaches is presented.

Manual re‐calculation of the indices reported by Publish or Perish had no impact on the ranking list. The revealed preference and stated preference methods correlated very strongly (0.8 on average). According to the final aggregate journal list that combined stated and revealed preference methods, Journal of Knowledge Management and Journal of Intellectual Capital are ranked A+, and The Learning Organization, Knowledge and Process Management, and Knowledge Management Research & Practice are ranked A.

This study was the first of its kind to develop a ranking system for academic journals in the field based on the journals' citation impact metrics. This list is vital for knowledge management and intellectual capital academics for tenure, merit, and promotion decisions. It may also help them achieve recognition among their peers and colleagues from other disciplines.

The proposed ranking list may be fruitfully employed by knowledge management and intellectual capital practitioners, librarians making journal subscription decisions, academics looking for best outlets, and various academic committees.

This paper represents the first documented attempt to develop a ranking of knowledge management and intellectual capital academic journals by using the h‐index and the g‐index that reflect journal citation impact.