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This paper evaluates how the first job when individuals entered the labor market affects the probability of youth being currently employed in formal or informal work in Bangladesh.

The analysis is based on data from the ILO School-to-Work Transition Surveys. The authors use a full-information maximum likelihood approach to estimate a two-equation model, which accounts for selection into the labor market when estimating the impact of entry status on current work outcomes. The main equation outcome follows a multinomial distribution thus avoiding a priori assumptions about the level of individual’s utility associated with each work status.

The authors find that entering the labor market in a vulnerable employment position (i.e. contributing family work or self-employment) traps into vulnerable employment and prevents the transition to both informal and, especially, formal paid work. This finding holds when accounting for endogeneity of the entry status and it is valid both in the short and in the long run. Young women are less likely to enter the labor market, and once entered they are less likely to access formal paid wok and more likely to being inactive than young men. Low education anticipates the entry in the labor market, but it is detrimental for future employment prospects.

The findings indicate the presence of labor market segmentation between vulnerable and non-vulnerable employment and suggest the endpoint quality of the school-to-work transition is crucial for later employment prospects of Bangladeshi youth.

To achieve objective information about how media delivered messages to cover an issue, the Microsoft antitrust trial case was investigated from the media coverage of five national newspapers in the USA. From the outcomes, this study revealed that Microsoft got better media coverage at the early issue status than the later issue status, public policy status. As the issue developed, the amount of coverage as well as the number of cases had grown. However, at the later public policy status, unfavorable coverage dominated favorable coverage, thus, monetary value which Microsoft had obtained from the coverage was smaller than that of the earlier status. Newly devised formulae for media content analysis were successfully applied to this case and showed the elaborated methodology for investigating an issue. The research register for this journal is available at http://www.mcbup.com/research_registers. The current issue and full text archive of this journal is available at http://www.emerald‐library.com/ft.

To identify the trajectories of occupational mobility among non-EU immigrant workers in Europe and to test empirical data against neoclassical human capital theory that predicts upward occupational mobility and labor market segmentation theories proposing immigrant confinement to secondary segments.

Data from survey and semi-structured interviews (2,859 and 357, respectively) with immigrants from Brazil, Ukraine, and Morocco in the Netherlands, the United Kingdom, Portugal, and Norway. Multinomial regression analysis to test the likelihood of moving downward, upward, or stability and identify explanatory factors, complemented with qualitative evidence.

We found support for the thesis of segmented labor market theories of limited upward occupational mobility following migration. However, immigrants with longer residence in the destination country have higher chances of upward mobility compared to stability and downward mobility, giving also support for the neoclassical human capital theory. Frail legal status impacts negatively on upward mobility chances and men more often experience upward mobility after migration than women.

Findings reflect the specific situation of immigrants from three origin countries in four destination areas and cannot be taken as representative. In the multinomial regression we cannot distinguish between cohort effects and duration of stay.

Education obtained in the destination country is very important for migrants’ upward occupational mobility, bearing important policy implications with regards to migrants’ integration.

Its focus on trajectories of mobility through migration looking at two important transitions: (1) from last occupation in the origin country to first occupation at destination and (2) from first occupation to current occupation and offers a wide cross-country comparison both in terms of origin and destination countries in Europe.

The purpose of this study is to identify correlates of tobacco smoking behaviour across various socio-demographic segments of the Australian population.

Data from two nationally representative, probability samples of persons 18 and over, surveyed by the Australian Bureau of Statistics in 2001 and 2017–2018 were analysed using multinomial logistic regression.

Overall, the prevalence of current smokers declined from 24.3 to 15%. More than half of the population had never smoked. The prevalence of ex-smokers increased slightly to 30%. Prevalence of current smoking was higher among older age groups and among those with lower educational achievement, lower income, living in a disadvantaged area and experiencing increasing stress. Females were more likely than males to be never-smokers. Males were more likely than females to be current smokers.

The findings are based on two cross-sectional surveys conducted 17 years apart. It is not possible to draw any conclusions about the actual trajectories of the changes in the values reported or any correlations between those trajectories. Nor is it possible to make any meaningful forecasts about likely future trends in smoking status in these various segments based on these data sets. The classifications used in the surveys generate some heterogeneous groups, which can obscure important differences among respondents within groups. Data are all self-reported, and there is no validation of the self-reported smoking status. This might lead to under-reporting, especially in a community where tobacco smoking is no longer a majority or even a popular habit. Because the surveys are so large, virtually, all the findings are statistically significant. However, the increasing preponderance of never-smokers in many categories might mean that never-smokers could come to dominate the data.

The findings from this paper will help tobacco-control policy-makers to augment whole-of-community initiatives with individual campaigns designed to be more effective with particular socio-demographic segments. They will also assist in ensuring better alignment between initiatives addressing mental health and tobacco smoking problems facing the community.

The examination of smoking behaviour among individual population sub-groups, chosen by the authors, is commonplace in the literature. This paper uses data from two large surveys to model the whole, heterogeneous population, measured at two different points in time.

The status of welding process is difficult to monitor because of the intense disturbance during the process. The purpose of this paper is to use multiple sensors to obtain information about the process from different aspects and use multi‐sensor information fusion technology to fuse the information, to obtain more precise information about the process than using a single sensor alone.

Arc sensor, visual sensor, and sound sensor were used simultaneously to obtain weld current, weld voltage, weld pool's image, and weld sound about the pulsed gas tungsten‐arc welding (GTAW) process. Then special algorithms were used to extract the signal features of different information. Fuzzy measure and fuzzy integral method were used to fuse the extracted signal features to predict the penetration status about the welding process.

Experiment results show that fuzzy measure and fuzzy integral method can effectively utilize the information obtained by different sensors and obtain better prediction results than a single sensor.

Arc sensor, visual sensor, and sound sensor are used in pulsed GTAW at the same time to obtain information, and fuzzy measure and fuzzy integral method are used to fuse the different features in welding process for the first time; experiment results show that multi‐sensor information can obtain better results than single sensor, this provides a new method for monitoring welding status and to control the welding process more precisely.

The purpose of this paper is to offer systematic support for the creation of business re‐engineering ideas to exploit new communication channels (such as internet, mobile phone, SMS, and RFID). This approach is designed to enable users to develop new ways of doing business.

Relevant parameters as well as their possible values are identified. These parameters are used to generate a questionnaire containing all possible option descriptions. This (ordered) questionnaire offers systematic support for the creation of business re‐engineering ideas that exploit new communication channels. The methodology is completed by an approach that supports the assessment and selection of new business ideas. A tool that supports this approach has been designed, built, and tested.

The relevant parameters are found to be communication channel, communication mode (informational, interactional, or transactional), stakeholders group, stakeholders status (current or new), product/service group, and product/service status (current or new). Within this approach it is effective to use a workshop leader who organizes and facilitates group discussions.

Further research should be directed to the optimal way to use the tool (e.g. by the company itself or by a dedicated consultant).

The tool turned out to trigger fruitful group discussions within the company about new business re‐engineering ideas by deliberately utilizing new (or forthcoming) communication channels.

The main value of the paper is the systematic (tool) support for the very early stage of the creation of new business ideas.

We use Cross-National Equivalent File (CNEF) data from the United States and Great Britain to investigate the association between adults’ health and the income inequality they experienced as children up to 80 years earlier. Our inequality data track shares of national income held by top income percentiles from the early 20th century. We average those data over the same early-life years and merge them to CNEF data from both countries that measure self-reported health of individuals between 1991 and 2007. Observationally, adult men and women in the United States and Great Britain less often report being in better health if inequality was higher in their first five years of life. Although the trend in inequality is similar in both countries over the past century, the empirical association between health and inequality in the United States differs substantially from the estimated relationship in Great Britain. When we control for demographic characteristics, measures of permanent income, and early-life socio-economic status, the health–inequality association remains robust only in the U.S. sample. For the British sample, the added controls drive the coefficient on inequality toward zero and statistical insignificance.

The purpose of this paper is to investigate the importance of social capital in the workplace. To be more precise, to ask whether access to social capital is associated with differences in the wages and status of employees within the organization.

The authors used data from a case study of the status attainment of employees in a Swedish industrial firm.

Results demonstrate that: the socioeconomic background, gender and “migrant backgrounds” of employees have an impact on their access to resource‐rich networks; and there is a positive association between access to social capital and position in the organization, even after controlling for employees' education and labor market experience.

The case study approach of the paper has its own characteristic limitations. At the same time the cross‐sectional data open up the possibility of reverse causality. The analysis includes only individuals who were still working, while we know from the fieldwork that some former employees have taken early retirement or disability pensions due to occupational injury.

The focus of the paper is on the process of status attainment of subordinate groups (individuals from lower socioeconomic groups, individuals with stigmatized migrant backgrounds, and women), which is an under‐researched issue in organizational studies. Therefore, the authors ask whether the subordinate status of employees has an impact on their access to social capital in the place of work.

Purpose: In the current work, we provide a portrait of heavy alcohol use, cigarette smoking, mental health, and suicide ideation by sexual orientation among a large sample of US adults aged 25 years and older.

Design/methodology/approach: We produce a repository of information on sexual orientation, substance use, mental well-being, and suicide ideation for adults aged 25 years and older using Behavioral Risk Factor Surveillance System (BRFSS) surveys for nine US states from 2011 to 2018. We establish baseline differences on these outcomes for gay, lesbian, and bisexual (GLB), relative to heterosexual, adults and then use regression techniques to adjust the estimates for important sociodemographic, socioeconomic, and relationship status variables.

Findings: Disparities by sexual orientation across substance use, mental health, and suicide ideation are concerning, some alarmingly so. Bisexuals, particularly women, face pronounced challenges across outcomes. Sexual minority men and women report significantly more poor mental health days and much higher odds of suicide ideation. To illustrate, gay men, lesbians, and bisexual men and women, relative to their heterosexual counterparts, have odds of seriously contemplating taking their own lives that are two to four times higher even after adjusting for relevant controls.

Originality/value: Existing knowledge connecting GLB identity and mental well-being has focused largely on adolescent and young adults. We provide a representative study on older adult differences across four different behavioral health outcomes by sexual orientation. The scale of the disparities we report here, and their implications for overall well-being across groups, deserves national attention and action.

The purpose of this paper is to develop evident-based predictive no-show models considering patients’ each past appointment status, a time-dependent component, as an independent predictor to improve predictability.

A ten-year retrospective data set was extracted from a pediatric clinic. It consisted of 7,291 distinct patients who had at least two visits along with their appointment characteristics, patient demographics, and insurance information. Logistic regression was adopted to develop no-show models using two-thirds of the data for training and the remaining data for validation. The no-show threshold was then determined based on minimizing the misclassification of show/no-show assignments. There were a total of 26 predictive model developed based on the number of available past appointments. Simulation was employed to test the effective of each model on costs of patient wait time, physician idle time, and overtime.

The results demonstrated the misclassification rate and the area under the curve of the receiver operating characteristic gradually improved as more appointment history was included until around the 20th predictive model. The overbooking method with no-show predictive models suggested incorporating up to the 16th model and outperformed other overbooking methods by as much as 9.4 per cent in the cost per patient while allowing two additional patients in a clinic day.

The challenge now is to actually implement the no-show predictive model systematically to further demonstrate its robustness and simplicity in various scheduling systems.

This paper provides examples of how to build the no-show predictive models with time-dependent components to improve the overbooking policy. Accurately identifying scheduled patients’ show/no-show status allows clinics to proactively schedule patients to reduce the negative impact of patient no-shows.