Data on the factors driving the decision of rural people to move into the city.

The data set explores the driving factors of migration of rural people to the cities. Primary data were collected purposively from 172 farm households from three upazilas of kishoreganj district in Bangladesh. Among 172 households, 89 households had at least one migrant member and 83 households were without any migrant member. Probit model was used to analyze factors of migration decision at the household level. Data set reveals that various factors motivate the decision of the farm households for their member to move into the city. Among which household head age, number of active male member in the family and value of the household asset holding significantly influence migration decision. Beside econometric analysis, household's perception on different motivating factors of migration was also assessed. Most of the households perceived that too many family members, poor living condition, migrant's family influence and job availability in the city mostly motivate the people for migration into the city along with other driving factors.

Combination of pricing and inventory policies for deteriorating products with sustainability considerations.

Economic, environmental, and social criteria are all being taken into consideration simultaneously when determining pricing policies or inventory levels in sustainable production management. The combination of pricing and inventory policies is an important source of leverage for the efficient management of perishable products. This paper, among the first studies, proposes the problem of devising optimal pricing and inventory management decisions simultaneously where the environmental and social criteria are contributed for perishable complementary products replenished and sold by the same company. This study considers two interrelated price-sensitive linear demand functions to consider the possibility of shortage with both budget and warehouse capacity constraints. Another contribution of the proposed model is to consider an upper bound for environmental pollution and a lower bound for job opportunities as the constraints to the model. As a complex optimization model, the challenge of complexity is addressed by a heuristic algorithm for finding an optimal solution. After an extensive analysis using numerical examples, some managerial insights are concluded from the results. One finding from these analyses confirms that the total capacity of the warehouse, the total available budget, carbon emissions, and variable job opportunities have a high impact on the optimal solution to find a balance between sustainability criteria for making pricing and inventory policies.

Examining Preference Heterogeneity in Best-Worst Scaling: Case of Preferences for Job Opportunities in Artisanal Small-Scale Gold Mining (ASGM) Communities in Indonesia.

This research empirically examines the preferences for job-related attributes among rural villagers living close to artisanal and small-scale gold mining (ASGM) in Indonesia. Based on hypothetical scenarios in which a private company collaborates with the local government to establish a food processing industry in these villages, a questionnaire survey designed with best-worst scaling (BWS) was administered to households to determine their preferences. Additionally, the heterogeneity among the villagers was examined by applying a latent class logit (LCL) model. The main household survey was conducted in 2019 in Bone Bolango Regency, Gorontalo Province. The estimation results revealed that villagers are separated into four classes, and each class has different and unique preferences. Creating more job opportunities for society is a highly evaluated attribute; however, the preference for skill acquisition differs among groups. The results indicate that accounting for heterogeneous preferences regarding job opportunities is helpful to delink dependency on ASGM and health hazards and improve the livelihoods of rural villagers. The study yields key information to substantially reduce environmental and health hazards in the poverty-plagued ASGM community by facilitating job opportunities in Indonesia.

Prediction of performance by non-cognitive traits.

Project A clearly demonstrated that performance is multidimensional and that some aspects are better predicted by noncognitive measures. Substantial research and development in the ensuing years has focused on personality and vocational interests. The articles in this special issue convincingly demonstrate that at least one personality measure developed by military researchers, the Tailored Adaptive Personality Assessment System (TAPAS), is resistant to faking, which was an important concern about earlier single statement instruments. Moreover, several articles report showing that TAPAS predicts retention and important aspects of "will do" performance. On the other hand, these papers show that TAPAS adds little or no incremental validity to "can do" aspects of performance over and above the Armed Services Vocational Aptitude Battery (ASVAB). Three measures of vocational interest are described in articles in this special issue and research has been positive about their ability to predict attrition, rates of promotion and reenlistment, and job satisfaction. A number of topics for further research are noted.

Welfare-to-Work Programs in America, 1980 to 2005: Meta-Analytic Evidence of the Importance of Job and Child Care Availability.

This meta-analysis extended a Campbell Collaboration review of welfare-to-work programs. Its synthesis of 65 randomized trials in America over the past generation replicated a small overall intervention effect. Moreover, it found (1) there was no long-term employment effect of interventions in areas where jobs were relatively unavailable, and (2) programs that provided child care were more effective than those that did not in the short and long term, even in areas of high labor market withdrawal. The availability of jobs as well as such supports as child care that enable their access seem to be key elements of welfare-to-work programs that work.