Search results

This paper aims to study gender differences in preferences for firm characteristics across various groups of investors in Malaysia.

Self-declared preferences are elicited through a survey of 520 investors comprising retail, financial professionals and institutional investors in the Malaysian stock market. Non-parametric (Mann-Whitney and Kruskal-Wallis) tests are computed to achieve the stated objective.

Results reveal that female investors display higher preferences for the liquidity of a firm, dividend payments, trading volume of a firm, stock price and firm’s age than male investors across investor’s groups.

Findings imply that the gender gap in investing behaviour can be partly attributed to gender differences in preferences for firm characteristics.

The findings suggest that the gender gap can be mitigated by giving more priority to the choices of female investors with respect to firm characteristics. In turn, this may reduce a part of the gender gap in investing. Moreover, the findings would assist companies to understand and know how their shareholder’s preferences vary with respect to gender and investor’s groups.

This paper provides evidence concerning the gender gap in investor’s self-declared preferences for firm characteristics across retail, financial professionals and institutional investors in Malaysia, which complements previous studies that used equity holdings data and only two groups of investors.

The purpose of this paper is to test the competing explanations of stated preferences for firm characteristics, optimism and overconfidence for trading activities in a single framework.

A survey methodology is followed to collect the data among retail investors in Malaysia using simple random sampling.

The findings show simultaneous identification of stated preferences for firm characteristics, optimism and overconfidence as determinants of trading activities. Preferences for firm’s profitability characteristics, management and product-related attributes and risky characteristics are likely to decrease investors’ trading activities. On the other hand, preferences for firm’s liquidity and trading volume characteristics with relative financial-domain optimism, personal investment optimism and better-than-average aspect of overconfidence are likely to increase investors’ trading activities.

This finding implies that investors should be careful not only in assessing firm’s characteristics but also need to understand the effects of optimism and overconfidence in trading decisions.

The study considers various aspects of optimism and overconfidence, and the stated preferences for firm characteristics, unlike one aspect of these behavioral biases and indirect observation of preferences for firm characteristics. Furthermore, the study considers trading frequency, annual portfolio turnover and trading intention, whereas earlier studies considered only one or two of these trading decisions.

This study investigates theoretical relationships among personality characteristics, preferences for different types of rewards and the propensity to choose a job in auditing by management-related higher education students. Specifically, the authors consider motivation, locus of control (internal and external) and self-efficacy (SE) as personality characteristics and financial, extrinsic, support and intrinsic as types of rewards.

Data were collected through a questionnaire targeted at management-related higher education students in Portugal. Partial least squares structural equation modelling was used to analyse the data.

The full sample results show that different types of motivation, locus of control and SE are related to different reward preferences. The authors also find a positive association between a preference for extrinsic rewards and the propensity to choose a job in auditing. Moreover, when the authors consider the role of working experience in the model, the authors find that the reward preferences that drive the choice of an auditing job differ according to that experience.

This study enriches the literature by assessing preferences for different types of rewards, considering multiple personality characteristics and a comprehensive set of rewards. Furthermore, the authors identify the reward preferences that drive the choice of an auditing career. This knowledge empowers auditing firms to devise recruitment strategies that resonate with candidates’ preferences, which boosts the capacity of these companies to attract new auditors.

This study investigates how reward type (single vs. plural), reward characteristic (utilitarian vs. hedonic) and product involvement (high vs. low) affect the design of reward programs.

A 2 ✕ 2 ✕ 2 fractional factorial experimental design is constructed to explore the main factors influencing the effectiveness of reward programs on a sample of 436 Chinese customers.

The results indicate that reward type is an important determinant of customers' preference toward reward programs. Plural rewards are preferable to a single reward when the alternatives provide the same benefits, particularly in the low level of product involvement. In the high level of product involvement, reward characteristic has a significant effect on customers' preference. Hedonic rewards are more effective in building a program's value than utilitarian rewards. Moreover, reward characteristic interacts with reward type, positively impacting customers' preference toward reward programs.

This study suggests that managers should consider the effects of reward type, reward characteristic and product involvement to formulate attractive reward programs for sustainable business in China.

School principals make sense of multiple messages, policies, and contexts within their school environments. The purpose of this paper is to examine specifically how school leaders make sense of hiring and subjective evaluation of on‐the‐job teacher performance.

This qualitative study drew from 42 interviews with 21 principals from a mid‐sized Florida school district. Two rounds of semi‐structured interviews (one to two hours each) were conducted with the informants over two summers (2005‐2006). The multi‐year study allows the authors to assess the consistency across principal participants.

Principals' personal beliefs, background, and experiences were found to shape their conceptions and preferences for teacher characteristics. School type (e.g. elementary, secondary, levels of poverty) also influenced principals' perceptions of and preferences for specific applicant and teacher characteristics. Principals in the sample, however, showed surprising consistency towards certain characteristics (caring, subject matter knowledge, strong teaching skills) and job fit (person‐job). Sampled principals reported that each vacancy is different and is highly dependent on the position, team, and individuals. Regardless of the position or school setting, federal, state, and district mandates strongly influenced how principals made sense of the hiring process and on‐the‐job performance.

The findings underscore the complexity of the human resource functions in education and raise important questions of how school leaders reconcile personal preferences and building‐level needs with demands from the district, state, and federal levels.

The authors' findings offer important insight into the complex conceptualizations that principals hold and the balances that must be struck in the face of policy and hiring constraints. How principals make sense of teacher quality, however, has not been examined. This study contributes to the extant research and makes a theoretical contribution to studies using a cognitive frame to understand school leadership.

This paper aims to synthesize the literature on consumer preferences for farm animal welfare (FAW), with an emphasis on characterizing consumers based on their FAW preferences. The objective is to provide insights into the salient characteristics associated with animal welfare conscious consumers.

The authors conduct a systematic review of the results of published research on consumer preferences for FAW. Approximately 350 papers were reviewed, and 52 were included in the analysis.

The authors’ review suggests that consumers are not homogenous in their preferences for FAW. The authors identify seven themes that enabled them to characterize consumers with higher FAW preferences. These themes (i.e. age, education and income, gender, country and cross-cultural differences, attitudes and consumer and citizen functions) are grouped under four main headings (socio-demographics, ethics and attitudes, product characteristics and public roles).

The authors’ synthesis reflects the findings reported in the literature to this date; the identified characteristics may change with time as new evidence becomes available.

The information collected in this article would be useful to farmers and food and non-food retailers interested in effective product differentiation and marketing strategies regarding FAW standards. It can also inform policymakers about the state of consumer concerns for FAW.

To the best of authors' knowledge, this is the first study that attempts to develop a systematic profile of consumers based on their FAW preferences.

The purpose of this paper is to study what extent readers’ socio-demographic characteristics, literary preferences and search behavior predict success in fiction search in library catalogs.

In total, 80 readers searched for interesting novels in four differing search tasks. Their search actions were recorded with a Morae Recorder. Pre- and post-questionnaires elicited information about their background, literary preferences and search experience. Readers’ literary preferences were grouped into four orientations by a factor analysis. Linear regression analysis was applied for predicting search success as measured by books’ interest scores.

Most literary orientations contributed to search success, but in differing search tasks. The role of result examination was greater compared to querying in contributing search success almost in each task. The proportion of variance explained in books’ interest scores varied between 5 (open-ended browsing) and 50 percent (analogy search).

The distribution of participants was biased toward females, and the results are aggregated within search session, both reducing the variation of the phenomenon observed.

This study is one of the first to explore how readers’ literary preferences and searching are associated with finding interesting novels, i.e. search success, in library catalogs. The results expand and support the findings in Mikkonen and Vakkari (2017) concerning associations between reader characteristics and fiction search success.

This paper aims to present a detailed description of Tukuchiy, a framework to dynamically generate adapted user interfaces. Tukuchiy is based on Runa-Kamachiy, a conceptual integration model that combines human–computer interaction (HCI) standards to create user interfaces with user-centered concepts usually addressed by adaptation.

The first step was the definition of three profiles: user, context and interface. These profiles contain information, such as user disabilities, location characteristics (e.g. illumination) and preferences (e.g. interface color or type of system help). The next step is to define the rules that ensure usability for different users. All of this information is used to create the Tukuchiy framework, which generates dynamic user interfaces, based on the specified rules. The last step is the validation through a prototype called Idukay. This prototype uses Tukuchiy to provide e-learning services. The functionality and usability of the system was evaluated by five experts.

To validate the approach, a prototype of Tukuchiy, called Idukay, was created. Idukay was evaluated by experts in education, computing and HCI, who based their evaluation in the system usability scale (SUS), a standard usability test. According to them, the prototype complies with the usability criteria addressed by Tukuchiy.

This work was tested in an academic environment and was validated by different experts. Further tests in a production environment are required to fully validate the approach.

Tukuchiy generates adapted user interfaces based on user and context profiles. Tukuchiy uses HCI standards to ensure usability of interfaces that dynamically change during execution time. The interfaces generated by Tukuchiy adapt to context, functionality, disabilities (e.g. color blindness) and preferences (usage and presentation) of the user. Tukuchiy enforces specific HCI standards for color utilization, button size and grouping, etc., during execution.

The purpose of the study is to propose a normative approach for market segmentation, profile and monitoring using computing and information technology to analyze User-Generated Content (UGC).

The specific steps include performing a structural analysis of the UGC and extracting the base variables and values from it, generating a consumer characteristics matrix for segmenting process, and finally describing the segments' preferences, regional and dynamic characteristics. The authors verify the feasibility of the method with publicly available data. The external validity of the method is also tested through questionnaires and product regional sales data.

The authors apply the proposed methodology to analyze 53,526 UGCs in the New Energy Vehicle (NEV) market and classify consumers into four segments: Brand-Value Suitors (32%), Rational Consumers (21%), High-Quality Fanciers (26%) and Utility-driven Consumers (21%). The authors describe four segments' preferences, dynamic changes over the past six years and regional characteristics among China's top five sales cities. Then, the authors verify the external validity of the methodology through a questionnaire survey and actual NEV sales in China.

The proposed method enables companies to utilize computing and information technology to understand the market structure and grasp the dynamic trends of market segments, which assists them in developing R&D and marketing plans.

This study contributes to the research on UGC-based universal market segmentation methods. In addition, the proposed UGC structural analysis algorithm implements a more fine-grained data analysis.

The purpose of this study is to investigate consumers’ intention to use mass customization by incorporating preference fit and their ability to express preferences into the theory of planned behaviour and to examine how consumers perceive behavioural control over the process of online mass customization (OMC). Preference fit, which refers to fit between consumer preference and product attributes, and ability to express preferences were integrated into theory of planned behaviour as two belief variables related to OMC.

In total, 346 potential respondents were invited via e-mail to participate in the present study acquired from an independent marketing company. We conducted a self-administrated online survey using a video clip with voice instructions to demonstrate the OMC process as a stimulus.

The results suggest that consumers’ attitudes and perceived behavioural control predicted their OMC use intentions. Preference fit positively affected consumers’ attitudes towards OMC as a behavioural belief, and the ability to express preferences positively influenced preference fit but did not predict perceived behavioural control as a control belief. Clothing involvement was a positive predictor of preference fit and the ability to express preferences.

This study contributes to the OMC literature by suggesting a theoretical framework by extending the theory of planned behaviour and identifying consumers’ belief variables as antecedents of attitudes and perceived behavioural control in the OMC context. In addition, the study examines the role of clothing involvement in facilitating consumers’ OMC beliefs, suggesting the crucial role of clothing involvement as one of individual factors extending theory of planned behaviour framework, in the OMC process.