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Organizations have become increasingly interested in developing their human resources. One tool that has been explored in this quest is mentoring. This has led to a surge in mentoring research and an increase in the number of formal mentoring programs implemented in organizations. This review provides a survey of the empirical work on mentoring that is organized around the major questions that have been investigated. Then a conceptual model, focused on formal mentoring relationships, is developed to help understand the mentoring process. The model draws upon research from a diverse body of literature, including interpersonal relationships, career success, training and development, and informal mentoring. Finally, a discussion of critical next steps for research in the mentoring domain is presented.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

This study examines the effects of a family's and individual children's characteristics on the probability of having a divorce. Current research shows a clear indication of increased divorce risks if an individual's parents or siblings have experienced a divorce. Explanations include both shared family characteristics (including genetic effects) and common characteristics of the individual children involved. This study analyzes the effects of shared family background characteristics on the divorce risk of individuals. By analyzing siblings within families and including individual children's characteristics in the analysis, it is possible to separate individual-level and family-level effects.

In addition to employing a multi-level structure of individual siblings nested within families, the data cited here are censored. For all individuals, the length of the marriage and the divorce status are known, but the divorce status is interpreted differently for individuals who have or have not experienced divorce. For divorced individuals, the final divorce status is known; for individuals who have not experienced divorce, the final marriage status is unknown or censored. The proper analysis model for such data is event history (also called survival) analysis. This study therefore employs a multi-level event history model.

Our results show that there is a similarity in the divorce risks of siblings from the same family, which is not explained away by the available child and family characteristics. This finding suggests that shared genetic and social heritage play an important role in the intergenerational transmission of divorce risks.

This chapter examines how individuals’ perceptions of others’ task competence, treatment of other group members, tendency to conform, and work group identification depend on both status and identity commitment. We integrate tenets of both role identity theory and status characteristics theory in formulating propositions concerning which of multiple status attributes are utilized when assessing others’ task competence and treating other group members, when a solo low-status group member is less likely to conform with the group, and when a solo high-status group member has low identification with his or her group. Our theory development highlights the value of integrating these theories in understanding group phenomenon for both research and practice.

Missing in most of the research on selling has been an examination of the process from the point of view of the customer. When satisfaction in selling has been considered, researchers have focused on the satisfaction of the salesperson with his job and/or the impact of this job satisfaction on performance (e.g. Bluen, Barling & Burns, 1990; Churchill, Ford & Walker, 1979; Pruden & Peterson, 1971). To concentrate on salesperson performance while neglecting customers is to ignore the most important half of the relationship between buyers and sellers and entirely disregards the marketing concept and the streams of research in customer satisfaction. This research takes a different approach and examines customers’ satisfaction with salespeople.

This chapter tests whether adolescent counter-normative behaviors increase voluntary and involuntary job exits in young adults. This prediction extends the social sorting view of employment outcomes to cover concealable background characteristics, which has implications for involuntary mobility after entering the job.

The National Longitudinal Survey of Youth (NLSY) 1997 data are analyzed through survey-weighted Cox models of involuntary and voluntary job change. The key variables are adolescent use of alcohol and illegal drugs, and early sexual debut.

The findings show that sex and use of drugs in the early teens increase involuntary job exits, controlling for current behaviors, but do not have discernible effects on voluntary job exits. The effects of adolescent behavior appear stronger in multi-establishment firms and for Hispanic and black individuals.

The findings indicate that employee sorting of individuals based on background does not end at the point of hiring, but continues through post-hiring rates of job exit. The findings indicate differential treatment of employees as a function of stigmatized behaviors in the past, and thus reveal a form of discrimination that has not been investigated earlier.

The findings in the chapter provide support for a theoretical view of social sorting by the employer as a driver of job exits. It extends the scope of characteristics that may result in social sorting to those who are concealable at the point of hiring, and with consequences after hiring. Because these include adolescent behaviors that are stigmatized, it shows a new mechanism linking adolescent experiences with adult work outcomes.

This chapter proposes a model of person-situation interactions to explain when individuals react to demographic diversity in their work places. Qualitative research reported here suggests individual identities likely influence reactions to diversity and should be considered in conjunction with traditional situational factors. The model developed from this research looks at interactions between high and low identification with demographic categories and strong and weak situational cues toward such categories to explain when individuals are most likely to respond (or not respond) to diversity. The proposition that motivated reactions to diversity are observable only when both situational and personal factors contribute is advanced.

This study investigates the formal/informal employment earnings gap in Turkey. We focus on the earnings differentials that can be explained by observable characteristics and unobservable time-invariant individual heterogeneity. We first, estimate the standard Mincer earnings equations using ordinary least squares (OLS), controlling for individual, household, and job characteristics. Next we use, panel data and the quantile regression (QR) techniques in order to account for unobserved factors which might affect the earnings and the intrinsic heterogeneity within formal and informal sectors. OLS results confirm the existence of an informal sector penalty almost half of which is explained by observable variables. We find that formal-salaried workers are paid significantly higher than their informal counterparts and of the self-employed confirming the heterogeneity within the informal employment. QR results show that pay differentials are not uniform along the earnings distribution. In contrast to the mainstream literature which views informal self-employment as the upper-tier and wage-employment as the lower-tier, we find that self-employment corresponds to the lower-tier in the Turkish labor market. Finally, fixed effects estimation indicates that unobserved individual characteristics combined with controls for observable characteristics explain the pay differentials between formal and informal employment entirely in the total and the female sample. However, informal sector penalty persists in the male sample.