Suchergebnisse

Managers are increasingly interested in the social web, as it provides numerous opportunities for strengthening and expanding relationships with customers, but the network processes that lead to these user-based assets are poorly understood. In this paper, the authors explore factors influencing use and participation in virtual social networks. They also discuss unusual drivers and inhibitors present with virtual social networks—highlighted by the presence of positive network externalities and fears that the content will be misused. The authors offer hypotheses stemming from a model of how these factors work together, test the model with a dataset collected from two different virtual social networks, and discuss the implications of this work. The findings offer managers insights on how to nurture Web 2.0 processes.

This study examined the effects of career‐family orientation, hours worked per week, and salary level on parent‐offspring closeness as perceived by offspring. Results show that how close offspring felt toward their parents was directly related to their parents' family‐versus‐career orientation.

This study examined the salary and work hour expectations of male and female business students. The study also examined the influence of parents on the development of those expectations. Results show that fathers had more influence than mothers had on both sons' and daughters' salary and work hour expectations.

PurposeThe purpose of this paper is to test flow as a construct distinctly separate from its antecedents, and the resulting impact on brand attitudes and purchase intent within realistic online shopping three-dimensional virtual environments (3-DVEs).Design/methodology/approachThis research utilizes a field study, combined with a survey research design of 348 3-DVE participants.FindingsThe findings reveal that flow is not a unidimensional construct but rather, a mental state that should be measured separately from its antecedents, with the possibility that certain antecedents may be more relevant than others in different activities. Furthermore, the authors received strong support for the overarching hypothesized model separating the nine dimensions associated with engagement in an activity as antecedents of flow, which, in turn, influences brand attitude and thereafter purchase intention.Research limitations/implicationsThis study was limited to one type of activity within one 3-DVE but is balanced by the difficulty in gaining access to organizations and computer-mediated environments of this type for examining such phenomena.Practical implicationsBusinesses using 3-DVEs to market brands should focus their efforts on creating highly enjoyable experiences that result in the feeling of a loss of sense of time for the participants in order to ultimately positively influence purchase intentions.Originality/valuePrior research focused on fantasy-based, game-oriented environments, while also neglecting to test all elements of flow, examining "similar to flow" constructs or measuring flow as a unidimensional construct.

Abstract
This work describes and illustrates a free and easy-to-use online text-analysis tool for understanding how consumer word use varies across contexts. The tool, Wordify, uses randomized logistic regression (RLR) to identify the words that best discriminate texts drawn from different pre-classified corpora, such as posts written by men versus women, or texts containing mostly negative versus positive valence. We present illustrative examples to show how the tool can be used for such diverse purposes as (1) uncovering the distinctive vocabularies that consumers use when writing reviews on smartphones versus PCs, (2) discovering how the words used in Tweets differ between presumed supporters and opponents of a controversial ad, and (3) expanding the dictionaries of dictionary-based sentiment-measurement tools. We show empirically that Wordify's RLR algorithm performs better at discriminating vocabularies than support vector machines and chi-square selectors, while offering significant advantages in computing time. A discussion is also provided on the use of Wordify in conjunction with other text-analysis tools, such as probabilistic topic modeling and sentiment analysis, to gain more profound knowledge of the role of language in consumer behavior.