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The purpose of this paper is to describe the prevalence and factors associated with safe sex behavior among vocational students in Nakhon Ratchasima Province, Thailand, and to determine the modifying factors listed as socio-demographic characteristic, the level of HIV and sexually transmitted infections’ knowledge, attitude toward reproductive health, and safe sex behavior among vocational students in Nakhon Ratchasima Province, Thailand.

A cross-sectional descriptive research was conducted from August to October 2018. The multistage stratified sampling, combined with purpose and random sampling, was used to select the participants. One vocational college with the highest number from urban, suburban and rural areas was purposely selected. The sample calculation by using Cochran’s formula, a random sampling by drawing from each college with male and female, was made to obtain the sample size of 355 students. Inclusion criteria included: vocational students, both male and female, aged between 15 and 19 years, resided in the study area, and volunteered to participate. Ethical consent including waiver of the parent’s consent for the participant aged under 18 years for this study was approved by the Institution Review Board for Human Research Ethics, Chulalongkorn University (Certification number JV 823/2561) A self-administered questionnaire was adapted by the principle researcher from the illustrative questionnaire for interview survey with young people (14), and The study of Prevalence of HIV, STD, Drug Use and Risk Behaviors in Adolescents and Young Adults, in Chaing Rai, Thailand (PRAYA) tool (15). All statistical analyses were performed by SPSS version 22.

The finding revealed that 332 participants were male (57.8 percent) and female (42.2 percent) with an average age of 16.8 years (±1.7). Approximately 60 percent of males and 50 percent of females had experience of sexual intercourse, with their first experience of sexual intercourse at the average age of 15. Most respondents 63.1 percent used a condom and 63.6 percent used contraception in their latest sexual intercourse. About 41.9 percent consumed alcohol and 15 percent reported substance abused. Sexual intercourse among adolescents vocational students were significantly associated with high knowledge of contraception (OR=0.30, 95%CI=0.10–0.82). Positive attitude toward reproductive health had a significant association with sexual intercourse (OR=0.17, 95%CI=0.05–0.58). Sexual intercourse among vocational students were also significant associated with low risk behavior (OR=0.45, 95%CI=0.22–0.91) and high risk behaviors (OR=0.24, 95% CI=0.10–0.59). Contraceptive used in the latest sexual intercourse had a significant association with cues to action (OR=0.43, 95% CI=0.22–0.86).

This study used a self-reported questionnaire to collect information from participants about safe sex behaviors, which might contain bias data and socially desirable answers. The time for collecting data did not match vocational students’ schedule as they were about to have their final exams. An error in this questionnaire was the absence of condom use as one of the contraception methods.

The study showed that both male and female vocational students in Nakhon Ratchasima have a low level of knowledge of HIV, STIs and contraception. This study revealed that females have higher knowledge of all the factors more than males. Males usually received more harassment from peers for being sexually active than females do. Condoms and contraceptive used are inconsistent in all research conducted and have no common ground. Communication related to sex for those who have no partner was poor compared to students who have a partner. The four factors associated with safe sex behaviors should always be considered and surveyed among vocational students, as the study showed that all results vary for a future adolescence study.

This research aims at government authorities. The policy makers should include reproductive health and rights in the curriculum. The Ministry of Public health and The Ministry of Education should provide training for the trainer program for teachers concerning safe sex behaviors. For future research, in-depth interview and qualitative study should be used to increase the reliability of the result of the inconsistency of using a condom and contraception. The researcher should do further studies into vocational college semester schedules before collecting data and should spend more time in the college, so the students become more acquainted to the researcher and give a more truthful answer. Moreover, condom use should be added as one of the contraception methods.

This is the first study among vocational students in Nakhon Ratchasima Province which emphasizes specifically on safe sex behaviors and factors related to it. Regarding the population of vocational students, this study covers almost 80 percent of the population. Sensitive questions for sexual activity status and sexually history were answered by a self-administered questionnaire in order to increase sincere answers on their experiences because participants were not shy to disclose their sexual experiences.

The purpose of this paper is to present an integrated model to measure the operational efficiency of the top 40 container ports in the world for a five-year continuous period using a two-stage uncertainty data envelopment analysis (UDEA) combined with fuzzy C-means clustering method (FCM).

UDEA model is adopted for measuring the efficiency of container ports to overcome the limitation of the basic model, which is unable to handle uncertain data that are easy to meet in practice. FCM algorithm is implemented to find similar distribution efficiency scores of two stages and the cluster similar efficiency scores of container ports into various groups.

The combination of the two-stage UDEA model and the FCM algorithm provided a more comprehensive view when evaluating the performance of container ports. The UDEA results show that most of the container ports have reduced their profitability level in the second stage and most of the efficient container ports have turned into inefficient ones because of their small scale.

This paper proposes using the two-stage UDEA model to evaluate port efficiency based on two main aspects of productivity and profitability. Moreover, it combines DEA and FCM algorithms to offer a more comprehensive view when measuring the performance of container ports.

Intellectual capital (IC) plays a crucial role in today’s volatile business landscape, yet its measurement remains complex. To better navigate these challenges, the authors propose the Integrated Intellectual Capital Measurement (IICM) model, an innovative, robust and comprehensive framework designed to capture IC amid business uncertainty. This study focuses on IC measurement models, typically reliant on secondary data, thus distinguishing it from conventional IC studies.

The authors conducted a systematic literature review (SLR) and bibliometric analysis across Web of Science, Scopus and EBSCO Business Source Ultimate in February 2023. This yielded 2,709 IC measurement studies, from which the authors selected 27 quantitative papers published from 1985 to 2023.

The analysis revealed no single, universally accepted approach for measuring IC, with company attributes such as size, industry and location significantly influencing IC measurement methods. A key finding is human capital’s critical yet underrepresented role in firm competitiveness, which the IICM model aims to elevate.

This is the first SLR focused on IC measurement amid business uncertainty, providing insights for better management and navigating turbulence. The authors envisage future research exploring the interplay between IC components, technology, innovation and network-building strategies for business resilience. Additionally, there is a need to understand better the IC’s impact on specific industries (automotive, transportation and hospitality), Social Development Goals and digital transformation performance.

This paper aims to explore the design of management teams when the critical task facing individual managers is monitoring the performance of worker teams and producing performance measures under uncertain information environments.

The authors use a multi-agent LEN framework – linear contract, exponential utility and normal density – to model the incentive provision and organizational design.

The main lesson is that the use of performance measures under uncertainty is greatly affected by the potential for free-riding in the very monitoring activities which generate the measures to begin with. Accordingly, the value of having a management team, that is the incremental benefit of having a second manager, depends on the monitoring technology. Of particular importance are the potential free-riding in monitoring effort among multiple managers and synergies gained from having more than one manager, such as correlation among the performance measures produced or improvement due to splitting workers pool into separate groups for each manager to monitor separately.

The paper pushes this line of research further by explicitly modeling the endogenous process of signal generation within a rich economic environment. In this environment, number of workers being evaluated and number of managers who produce the signals are both endogenous. Furthermore, both workers and managers are subject to moral hazard problem. In particular, the managers suffer from potential free-riding problems but may benefit from synergistic forces due to team monitoring.

This paper aims to search measures that unicorn startups have implemented during the pandemic and show what lessons can be learned to help entrepreneurs and small and medium businesses to overcome the crisis.

The method is a multiple case study with five unicorn startups. This study collected data through interviews and analyzed them by the content analysis technique.

The findings show that the pandemic affects negatively unicorns’ businesses; that a digital business model innovation affects them positively; and that innovations moderate positively the negative impact of the crisis.

Most interviewees hold operational positions.

Three actions stand out to overcome the crisis: adoption of new digital platforms; strategies to increase the network of partners; and adaptations in the provision of payment services.

The cases show that entrepreneurs and small and medium enterprises need to develop capabilities to innovate in their business models, and digitalization is a solution to face the crisis and overcome it in the future.

This paper aims to investigate the pricing of discretionary earnings in South Africa. This is a unique setting, as South African listed firms also report mandatory non-GAAP earnings (“headline earnings”).

Results are based on multivariate regression analyses for South African firms that report from 2010 to 2019.

Findings show that the value-relevance of discretionary earnings exceeds that of both GAAP earnings and headline earnings. In addition, placement of discretionary earnings reconciliations communicates information about the decision-usefulness of earnings.

Discretionary earnings remain the most value-relevant earnings measure, despite the divergent decision-useful characteristics offered by headline earnings and GAAP earnings. Therefore, the most decision-useful earnings reflect unique industry or firm characteristics rather than the assurance arising from regulation.

We propose a risk factor for idiosyncratic entropy and explore the relationship between this factor and expected stock returns.

We estimate a cross-sectional model of expected entropy that uses several common risk factors to predict idiosyncratic entropy.

We find a negative relationship between expected idiosyncratic entropy and returns. Specifically, the Carhart alpha of a low expected entropy portfolio exceeds the alpha of a high expected entropy portfolio by −2.37% per month. We also find a negative and significant price of expected idiosyncratic entropy risk using the Fama-MacBeth cross-sectional regressions. Interestingly, expected entropy helps us explain the idiosyncratic volatility puzzle that stocks with high idiosyncratic volatility earn low expected returns.

We propose a risk factor of idiosyncratic entropy and explore the relationship between this factor and expected stock returns. Interestingly, expected entropy helps us explain the idiosyncratic volatility puzzle that stocks with high idiosyncratic volatility earn low expected returns.

The purpose of this paper is to use an evaluation of a micro-place-based hot-spot policing implementation to highlight the potential issues raised by data quality standards in the recording and measurement of crime data and police officer movements.

The study focusses on an area of London (UK) which used a predictive algorithm to designate micro-place patrol zones for each police shift over a two-month period. Police officer movements are measured using GPS data from officer-worn radios. Descriptive statistics regarding the crime data commonly used to evaluate this type of implementation are presented, and simple analyses are presented to examine the effects of officer patrol duration (dosage) on crime in micro-place hot-spots.

The results suggest that patrols of 10-20 minutes in a given police shift have a significant impact on reducing crime; however, patrols of less than about 10 minutes and more than about 20 minutes are ineffective at deterring crime.

Due to the sparseness of officer GPS data, their paths have to be interpolated which could introduce error to the estimated patrol dosages. Similarly, errors and uncertainty in recorded crime data could have substantial impact on the designation of micro-place interventions and evaluations of their effectiveness.

This study is one of the first to use officer GPS data to estimate patrol dosage and places particular emphasis on the issue of data quality when evaluating micro-place interventions.