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Based on the resource-based theory, the purpose of this study is to investigate the relationship between operational employment levels of gender diversity and business performance over a multi-year period. This study also explores if gender parity moderates this relationship and how gender diversity is directionally developed.

A cross-lagged panel design and path analysis is applied to a global data set of women employees, women managers and women senior executives – in relation to revenue, of over 6,000 companies over the six-year period from 2012 to 2017.

Overall results confirm a positive relationship between women managers and revenue over a multi-year period for all companies. A moderating analysis also finds a positive relationship between total women employees (as well as women managers) and revenue growth of companies headquartered in countries with medium levels of gender parity. The overall and moderating analysis do not find a positive relationship between senior women executives and revenue growth. Longitudinal analysis also finds that the multiple operational levels of gender diversity directionally develop in a mutually cyclical manner.

To the best of the authors’ knowledge, this is the first diversity and business performance study to use a global data set of multiple operational levels of women employees, managers and senior executives over a multi-year period. This study contributes new perspectives on the positive relationship between women managers and business performance. This study also confirms prior findings of a positive relationship between women employees and business performance in medium gender-parity countries. Finally, this longitudinal study introduces the concept of the gender pipeline of executive advancement along the multiple operational levels of employment and finds that gender diversity is directionally developed in a mutually cyclical, bidirectional pattern.

This study examines the osteoconductive and healing capabilities of locally implanted synthetic hydroxyapatite (sHAp) derived from eggshells in the central incisor sockets of rats.

Toxicity experiments were conducted in vitro and in vivo, to testify the safety dosage of sHAp. Around 24 mature male Sprague–Dawley (SD) rats had their upper central incisors extracted. The rats were placed into three groups of eight rats each: Group 1: the sockets of extracted central incisors were left unfilled (control), Group 2: filled up with commercially available hydroxyapatite (HAp) and Group 3: implanted with sHAp locally retrieved from eggshells. After extraction, four rats from each group were sacrificed at 2nd and 4th weeks. Maxillary tissue sections were obtained and stained with hematoxylin and eosin (H&E) and Masson’s trichome (MT) staining. Anti-osteocalcin (OCN) and proliferating cell nuclear antigen (PCNA) were used primary antibodies for immunohistochemistry (IHC) special labeling.

The results showed that the locally implanted sHAp was non-toxic and safe in cell lines (human osteoblast and fibroblast) and animals. Histological analysis of H&E, MT and IHC showed that the sockets treated with locally implanted sHAp from eggshells were filled with new bone tissue of comparable thickness to other groups.

This unique technique uses locally implanted eggshell-derived sHAp with osteoconductive characteristics. In an in vivo model, sHAps increased OCN and PCNA expression to improve bone repair.

Wonders whether companies actually have employees best interests at heart across physical, mental and spiritual spheres. Posits that most organizations ignore their workforce – not even, in many cases, describing workers as assets! Describes many studies to back up this claim in theis work based on the 2002 Employment Research Unit Annual Conference, in Cardiff, Wales.

Climate change and its imminent threat to human survival adversely impact the agriculture sector. In an impoverished country like The Gambia, economic costs of climate change are colossal. This study aims to establish a computable general equilibrium (CGE) model for The Gambia’s agriculture sector to examine the effects of climate change on crops, livestock and sea-level rise.

This study used a CGE model with other climate change impact models to compute the impacts of climate change on The Gambia’s agriculture sector. The social accounting matrix calibrates the results from the various models, thereby generating the baseline results which exemplify a “steady-state” and policy shock results illustrating the medium- and long-term effects of climate change on the country’s agriculture sector.

The baseline results indicate the status quo showing the neglect of the agriculture sector due to limited investment in the sector. Hence, the sector is the “hardest hit” sector as a result of climate change. When the model factored in climate change in the medium term (2055) and long term (2085), the macroeconomic indicators of gross domestic product, national savings, wages, disposable income and consumer price index deteriorated, elucidating the vulnerability of the economy to climate change. The consumption of groundnuts, cattle and fish will decline by 5%, 5% and 4%, respectively, in the long term. However, the production of all agricultural commodities will decline by an average of 35% for the same period. The results for international trade show that exportation would decline while importation will increase over time. The general price level for agricultural commodities would increase by 3% in 2055 and 5% in 2085. Generally, the results manifest the severity of climate change in the agriculture sector which will have a multiplier effect on the economy. The impact of climate change would result in agriculture and economic decline causing hunger, poverty and human misery.

The caveat of this study revealed the nuances not captured by previous Gambian climate change studies, thus the novelty of the study.

This study aimed to examine the effects of Cambodia's New Generation Schools (NGS), as compared to their traditional counterparts, in enhancing the seven constructs: (1) science and math achievement, (2) science and math self-efficacy, (3) science and math outcome expectations, (4) attitudes toward science, (5) interactive science and math lessons, (6) support from science and math teachers and (7) encouragement and support in science from family.

The two observations data was collected using self-rated questionnaire from 301 11th graders from five upper secondary schools located in three provinces of Cambodia. Independent sample t-test, Analysis of Covariance (ANCOVA) and dependent sample t-test were used to analyze the repeated measures data.

The study revealed that students from the NGS exhibited statistically higher scores for most constructs, especially for attitudes toward science. However, when controlling for the differences in the first observation data, the significant effects of the three constructs have been neutralized. Moreover, though there was an increase in science activities outside school, there was a negative trajectory in the other two sub-constructs of attitudes toward science and support from science and math teachers, both in NGS and traditional schools.

These findings point some practical implications for enhancing the effectiveness of the two school types and further research.

There is heavy investment in new form of schools across the world to enhance students' learning and academic achievement in science and math in K-12 and to promote their interest in STEM in higher education. However, there is little document on the effectiveness of this new form of school, particularly in the Cambodian context.

A hybrid flowshop (HFS) problem on the pre‐sewing o perations and a master production scheduling (MPS) problem of apparel manufacture are solved by a proposed two‐tier scheduling model. The first objective of this paper is to plan a MPS for the factory so that the costs are minimized when the production orders are completed before and after the delivery dates required by the customers. The second objective is to minimize the completion time of the pre‐sewing operations in the cutting department while the production quantities required by the sewing department at several predetermined times can be fulfilled by the cutting department. Experimentation is conducted and the results show the excellent performance of the proposed scheduling model for the apparel industry.

The purpose of this paper is to determine the contribution of personal factors towards career adaptability among fresh graduates who had been employed for less than two years. This cohort is considered as entry-level employees in organisations. Several dimensions of personal factors focussed in this study were self-esteem, conscientiousness, spiritual intelligence and social support.

This study used a quantitative approach using a cross-sectional survey. This study sample comprised fresh graduate employees (n = 423) from four Malaysian public universities.

The regression model fitted the data; the personal factors significantly predicted fresh graduates’ career adaptability, F (4,418) = 31.982, p < 0.001. Conscientiousness showed the highest contribution compared to other variables, with social support being the lowest.

Owing to challenges faced by fresh graduates as entry-level employees, continuous career adaptation in the working environment is crucial for achieving satisfaction and success in life. All stakeholders, especially in higher education institutions, play an important role in inculcating the requisite personal traits in undergraduates to enhance their career adaptability upon joining the job market.

This study was conducted with fresh graduates as entry-level employees in Malaysia. It is hoped that the findings of this study would provide a better understanding of the impact of personal factors on career adaptability of fresh graduates in Malaysia so that the stakeholders involved could act accordingly to help fresh graduates enter the job market with the confidence to adapt to changes at the workplace.

Skilled migrants' careers are heterogeneous, with existing theories capturing only some of their diversity and dynamic development over time and circumstance. This paper aims to draw out the multilevel (macro, meso and micro levels) influences impacting skilled migrants' careers by using the lens of the intelligent career framework. Furthermore, structuration theory captures the agency of skilled migrants facing different social structures at and across levels and explains the idiosyncratic nature of skilled migrants' careers.

Following an abductive approach, this paper examines the career influences for a sample of 41 skilled migrants in three different host countries. Individual career stories were collected through qualitative interviews. Important career influences from these narratives are categorised across the intelligent career competencies (knowing why, how and whom) at the macro, meso and micro levels.

Findings illustrate the lived reality for skilled migrants of these interrelated multilevel career influences and go some way in elucidating the heterogeneity of skilled migrants' careers and outcomes. The interplay of individual agency in responding to both facilitating and challenging social structures across the multilevels further explains the idiosyncratic nature of skilled migrants' careers and how/whether they achieve satisfying career outcomes. Some potential policy implications and options arising from these findings are suggested.

By considering multilevel themes that influence skilled migrants' career capital, the authors were able to better explain the complex, relational and idiosyncratic shaping of their individual careers. As such, the framework informs and guides individuals, practitioners and organisations seeking to facilitate skilled migrants' careers.

The current research aimed to investigate the external enablement role of Digital Infrastructures (DI) in the interplay of entrepreneurial cognitions and innovation.

Data from the Global Entrepreneurship Monitor (GEM) and Digital Economy and Society Index (DESI) were used for analyses. This yielded a sample of 8,601 Generation Z entrepreneurs operating in 25 European countries.

Applying hierarchical moderated regressions showed that socio-cognitive components of an entrepreneurial mindset (self-efficacy, risk propensity, opportunity identification) affect innovation among Generation Z entrepreneurs. More importantly, DI plays an external enablement role in the interplay of cognitions and innovation among Generation Z entrepreneurs.

This study contributes to the socio-cognitive theory of entrepreneurship by integrating an external enablement perspective into the study of cognitions and entrepreneurial outcomes (here, innovation). It contributes to the digital technology perspective of entrepreneurship by connecting the conversation about the socio-cognitive perspective of entrepreneurship regarding the role of cognitions in innovation to the conversation in information systems (IS) regarding technology affordances and constraints. This study extends the application of the external enabler framework to the post-entry stage of entrepreneurial activity and integrates a generational perspective into it.

The present study has been designed with the aim to determine whether there are differences in individual entrepreneurial orientation (IEO) between students, doing their major in business studies and the ones whose areas of study are science, technology, engineering, and mathematics (STEM).

The theoretical research methods comprise the review of secondary sources to build a sound theoretical framework for the research activities. The empirical research method is a survey in Latvia and Poland applying non-parametric inferential statistical methods as well as linear regression analysis to investigate which factors and components contribute to EO orientation development among different groups of students, and, thus, verify the research hypotheses.

The yielded research results demonstrate that there are significant differences between business and STEM students when they analyze their IEO. It turned out that STEM students obtain significantly lower scores for risk-taking and innovation but higher for proactiveness. Additionally, it was detected that the chosen field of study affects students’ perception of educational support, thus, influencing their innovation, proactiveness, and risk propensity characteristics.

In this research, the authors focused on exploring IEO among business and STEM students in Latvia and Poland, hence the findings cannot be one-to-one applied to other countries.

The topicality of the theme is determined by the fact that changes in external environment require higher educational institutions (HEIs) in Latvia and Poland to foster their entrepreneurial ecosystems and re-master study programs both for business and STEM students as well as conduct projects that include students, academic staff, and business representatives – the transformation is necessary to create positive attitude towards entrepreneurship among the students and help them to consider entrepreneurial career path later.

Factors and components which contribute to IEO development among different groups of students are under-researched in the Baltic countries, experiencing systemic transformation. The authors believe that universities can use the analysis of their students’ IEO to allocate their resources in a better way, adjust curricula to the real needs of students and facilitate entrepreneurship.