The mediation of matchmaking: a comparative study of gender and generational preference in online dating websites and offline blind date markets in Chengdu

Online dating has modernized traditional partner search methods, allowing individuals to seek a partner that aligns with their preferences for attributes such as age, height, location, or education. Yet traditional forms of partner selection still exist, with continued parental involvement in the matching process. In this paper, we exploit different matchmaking methods with varying degrees of youth autonomy versus parental involvement. We use a unique dataset collected in Chengdu, China, where profiles from the blind date market (n = 158) capture parental preferences and profiles from an online dating website (n = 500) capture individual preferences. Regarding gender, we find that men generally display a desire for women younger, shorter, and less educated than themselves, while women desire older and taller men of the same education as themselves. With regards to parental influences, we find parents specify a narrower range of accepted partner attributes. Further, we find an interaction effect between gender and generational influences: the preferences of parents advertising their daughters on the blind date market show a greater discrepancy in attribute preferences to the online daters than parents advertising their sons.

Gender preference gaps and voting for redistribution

There is substantial evidence that women tend to support different policies and political candidates than men. Many studies also document gender differences in a variety of important preference dimensions, such as risk-taking, competition and pro-sociality. However, the degree to which differential voting by men and women is related to these gaps in more basic preferences requires an improved understanding. We conduct an experiment in which individuals in small laboratory “societies” repeatedly vote for redistribution policies and engage in production. We find that women vote for more egalitarian redistribution and that this difference persists with experience and in environments with varying degrees of risk. This gender voting gap is accounted for partly by both gender gaps in preferences and by expectations regarding economic circumstances. However, including both these controls in a regression analysis indicates that the latter is the primary driving force. We also observe policy differences between male- and female-controlled groups, though these are substantially smaller than the mean individual differences—a natural consequence of the aggregation of individual preferences into collective outcomes.

Industrial robot selection using a multiple criteria group decision making method with individual preferences

This paper proposes a multiple criteria group decision making with individual preferences (MCGDM-IP) to address the robot selection problem (RSP). Four objective criteria elicitation approaches, namely, Shannon entropy approach, CRITIC approach, distance-based approach, and ideal-point approach, are proposed to indicate individual decision makers. A preliminary group decision matrix is therefore formulated. Both preferential differences representing the preference degrees among different robots, and preferential priorities representing the favorite ranking of robots for each individual decision maker, are analyzed to propose a revised group decision matrix. A satisfaction index is developed to manifest the merits of the proposed MCGDM-IP. An illustrative example using the data drawn from previous literature is conducted to indicate the effectiveness and validity of MCGDM-IP. The results demonstrate that the MCGDM-IP could generate a more satisfactory scheme to evaluate and select industrial robots, with an improvement of group satisfactory level as 2.12%.

Work from home: understanding boundary management profiles using boundary-fit perspective

Purpose The recent COVID-19 pandemic has (triggered) lots of interest in work from home (WFH) practices. Many organizations in India are changing their work practices and adopting new models of getting the work done. The purpose of the study to look at the boundary-fit perspective (Ammons (2013) and two factors, namely, individual preferences (boundary control, family identity, work identity and technology stress) and environmental factors (job control, supervisor support and organizational policies). These dimensions are used and considered to create various clusters for employees working from home. Design/methodology/approach K-mean clustering was used to do the cluster analysis. Statistical package for social sciences 23 was used to explore different clusters based on a pattern of characteristics unique to that cluster, but each cluster differed from other clusters. Further analysis of variance test was conducted to see how these clusters differ across three chosen outcomes, namely, work-family conflict, boundary management tactics used and positive family-to-work spillover effect. The post hoc test also provided insights on how each cluster differs from others on these outcomes. Findings The results indicated four distinct clusters named boundary-fit family guardians, work warriors, boundary-fit fusion lovers and dividers consistent (with previous) research. These clusters also differ across at least two major outcomes like boundary management tactics and positive spillover. The high control cluster profiles like Cluster 3 (boundary-fit fusion lovers) and Cluster 4 (dividers) showed low technostress and higher use of boundary management tactics. Cluster 3 (boundary-fit fusion lovers) and Cluster 1 (boundary-fit family guardians) having high environmental influencers also showed higher positive family-to-work spillover. Research limitations/implications Because this study is very specific to the Indian context, a broad generalization requires further exploration in other cultural contexts. The absence of this exploration is one of the limitations of this study. On the culture continuum, countries may vary from being individualistic on one extreme to being collectivistic on the other extreme. Interaction of these two cultural extremities with the individual and the environmental dimension, as espoused in this research, can be examined further in a different cultural setting. Originality/value This study has extended the work of Ammons (2013) and added external influencers as a dimension to the individual preferences given by (Kossek 2016), and created the cluster for employees in the Indian context. This study has demonstrated the importance of reduced technostress, and the use of boundary management tactics (temporal and behavioral) leads to positive family-to-work spillover. It has also emphasized the relevance of organization policies and supervisor support for better outcomes in WFH.

Mohamed or Adam?

A name is one of the essential elements of identity. The choice of a name reflects personal as well as ethnic or religious identity. It is a reflection of individual preferences, cultural traditions and family ties, the social environment. These processes are also evident in a minority environment. The subject of interest of this study are strategies for granting names in Muslim families living in Slovakia. Our aim is to find out how and why parents choose names for their children. We will try to identify the role of individual feelings of parents as they are influenced by customary traditions of the countries from which the child’s parents come. We will be interested in the extent to which the fact that the partners live in Slovakia (mostly a Christian country with a minimal proportion of the Muslim population) contributes to the decision on the name, how it is determined by the existing public opinion about foreigners and Muslims. We present findings of a questionnaire survey with Muslims living in Slovakia or their partners. The participants were mainly people living in ethnically or religiously mixed partnerships, partly homogeneous partnerships or people who lived without a partner.

Self-Perfecting Model for Managing Individualized Investment Portfolios

Individualization is a process that adapts a ser vice or product to the needs of specific individuals. This process is a key element in recommender systems and is applied to establish innovative ser vices for technological solutions in the financial industry. For this purpose, a self-perfecting model for managing individualized investment portfolios is built, through which segmentation and evaluation of users are performed and for each of them a set of investment portfolios is recommended. This paper presents the process of recommending a portfolio of investment instruments, individualized according to the individual preferences of clients, methodology for its construction, and results of the approbation. Examples are shown of individualized portfolios, as well as a comparison of the main measures of the recommended portfolios in the respective clusters.