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The purpose of this study is to investigate factors surrounding low Emirati student recruitment and retention within a nursing programme in the Abu Dhabi Emirate. A sequential explanatory mixed methods research design was used to collect data from 140 Emirati students at different levels of the nursing program. Questionnaires, semi-structured interviews and related document analyses were used to collect information for this study. Quantitative analysis revealed that overall participants perceived the Emirati society as holding a positive image of nursing, though a majority of them indicated that nursing as a profession, would be a third or last choice of career for them. Inferential analysis on the reasons to choose or not choose nursing, revealed an opportunity to work as part of the team; and as a stepping stone to other professions as significant reasons, versus perceived program difficulty level, and perceived unpleasant tasks. Thematic analysis of interviews highlighted: 1) personal interest; 2) parental support; 3) awareness of the profession; 4) perceived barriers; 5) potential benefits, and 6) policies at the local and national levels. The study has several implications for nursing education and policy in the United Arab Emirates and the region.

.يبظوبأ ةرامإ يف ضيرمتلا جمانرب نمض مهب ظافتحﻻاو نييتارامﻹا ةبلطلا ددع ةلقب ةطيحملا لماوعلا ةسارد وه ةساردلا هذه نم ضرغلا نم تانايبلا عيمجتل ةطلتخم قرط يف لسلستم يثحب ميمصت مادختسا مت دقو 140 .ضيرمتلا جمانرب تايوتسم فلتخم ىلع ايتارامإ ابلاط تسﻻا تلمعتسا ةيبلغأ نأ يمكلا ليلحتلا فشك و .ةساردلا هذهل تامولعملا عمجل ةلصلا تاذ قئاثولا تﻼيلحتو ةمظنملا هبش تﻼباقملاو تانايب ضيرمتلا نأ ىلإ تراشأ مهتيبلغأ نأ نم مغرلا ىلع ،ضيرمتلل ةيباجيإ ةروص لمحي هنأ ىلع يتارامﻹا عمتجملا ىلإ نورظني نيكراشملا مهرايخ نوكيس ،ةنهمك ضيرمتلا رايتخا مدع وأ رايتخا بابسﻷ يلﻻدتسﻻا ليلحتلا يف و .مهل ةبسنلاب ةيفيظولا ةايحلا نم ريخﻷا وأ ثلاثلا ةماه ةيباجيإ بابسأك ،ىرخأ نهمل قﻼطنا ةطقنك وأ ؛قيرفلا نم ءزجك لمعلل ةصرف نع جئاتنلا تفشك ،ةيبلسلاو ةيباجيﻹا بابسﻷا لباقم ا يف و،ضيرمتلا رايتخﻻ رايتخا مدعل ةريبك ةيبلس بابسأ اهنأ ىلع ، اهيف بوغرملا ريغ ماهملاو ،جمانربلا ةبوعص ىوتسم ىلإ رظنلا ،لباقمل :تﻼباقملل يعيضاوملا ليلحتلا زربأو .ةنهمك ضيرمتلا 1 ( ؛ةيصخشلا ةحلصملا 2 ( ؛نيدلاولا معد 3 ( ةنهملاب يعولا ؛ 4 ( ؛ةعقوتملا زجاوحلا 5 ( و ،ةلمتحملا دئاوفلا 6 ( ةلود يف هتاسايسو ضيرمتلا ميلعت ىلع تاروصت ةدع ةساردلا هذهلو .ينطولاو يلحملا نييوتسملا ىلع تاسايسلا ةقطنملاو ةدحتملا ةيبرعلا تارامﻹا .

Leadership behaviors of undergraduates (n=1103) were examined using the Student Leadership Practice Inventory (SLPI). The practice of leadership behaviors increased significantly from freshman to juniors and from juniors to seniors. However, each class was significantly less likely to practice the Challenge the Process behavior and significantly more likely to practice the Enable Others to Act behavior. Experience with different types of leadership roles were related to higher SLPI practice scores. Age, race, transfer status and taking a freshman experience seminar did not influence SLPI scores or the number of different types of leadership roles. Unexpectedly, women had significantly higher SLPI scores than men at each class level.

There is a tremendous need for the valuation of small businesses. Oftentimes, small businessowners do not have the wherewithal to gather the data and keep it up to date for use in situations that require valuation. Formal valuations are necessary because they provide objective evidence of value, in contrast to value set by markets on which public companies are traded. This article focuses on some factors that impact the valuation of the business and will help small businessowners feel more comfortable talking with financial professionals about how the business might be valued.

This paper presents NASA’s experience using a Center of Excellence (CoE) to scale and sustain an open innovation program as an effective problem-solving tool and includes strategic management recommendations for other organizations based on lessons learned.

This paper defines four phases of implementing an open innovation program: Learn, Pilot, Scale and Sustain. It provides guidance on the time required for each phase and recommendations for how to utilize a CoE to succeed. Recommendations are based upon the experience of NASA’s Human Health and Performance Directorate, and experience at the Laboratory for Innovation Science at Harvard running hundreds of challenges with research and development organizations.

Lessons learned include the importance of grounding innovation initiatives in the business strategy, assessing the portfolio of work to select problems most amenable to solving via crowdsourcing methodology, framing problems that external parties can solve, thinking strategically about early wins, selecting the right platforms, developing criteria for evaluation, and advancing a culture of innovation. Establishing a CoE provides an effective infrastructure to address both technical and cultural issues.

The NASA experience spanned more than seven years from initial learnings about open innovation concepts to the successful scaling and sustaining of an open innovation program; this paper provides recommendations on how to decrease this timeline to three years.

The study examines the impact of behavioral biases, such as herd behavior, overconfidence and reactions to ESG News, on Socially Responsible Investing (SRI) decisions in the Indian context. Additionally, it explores gender differences in SRI decisions, thereby deepening the understanding of the factors shaping SRI choices and their implications for sustainable finance and gender-inclusive investment strategies.

The study employs Bayesian linear regression to analyze the impact of behavioral biases on SRI decisions among Indian investors since it accommodates uncertainties and integrates prior knowledge into the analysis. Posterior distributions are determined using the Markov chain Monte Carlo technique, ensuring robust and reliable results.

The presence of behavioral biases presents challenges and opportunities in the financial sector, hindering investors’ SRI engagement but offering valuable opportunities for targeted interventions. Peer advice and hot stocks strongly predict SRI engagement, indicating external influences. Investors reacting to extreme ESG events increasingly integrate sustainability into investment decisions. Gender differences reveal a greater inclination of women towards SRI in India.

The sample size was relatively small and restricted to a specific geographic region, which may limit the generalizability of the findings to other areas. While efforts were made to select a diverse sample, the results may represent something different than the broader population. The research focused solely on individual investors and did not consider the perspectives of institutional investors or other stakeholders in the SRI industry.

The study's practical implications are twofold. First, knowing how behavioral biases, such as herd behavior, overconfidence, and reactions to ESG news, affect SRI decisions can help investors and managers make better and more sustainable investment decisions. To reduce biases and encourage responsible investing, strategies might be created. In addition, the discovery of gender differences in SRI decisions, with women showing a stronger propensity, emphasizes the need for targeted marketing and communication strategies to promote more engagement in sustainable finance. These implications provide valuable insights for investors, managers, and policymakers seeking to advance sustainable investment practices.

The study has important social implications. It offers insights into the factors influencing individuals' SRI decisions, contributing to greater awareness and responsible investment practices. The gender disparities found in the study serve as a reminder of the importance of inclusivity in sustainable finance to promote balanced and equitable participation. Addressing these disparities can empower individuals of both genders to contribute to positive social and environmental change. Overall, the study encourages responsible investing and has a beneficial social impact by working towards a more sustainable and socially conscious financial system.

This study addresses a significant research gap by employing Bayesian linear regression method to examine the impact of behavioral biases on SRI decisions thereby offering more meaningful results compared to conventional frequentist estimation. Furthermore, the integration of behavioral finance with sustainable finance offers novel perspectives, contributing to the understanding of investors, investment managers, and policymakers, therefore, catalyzing responsible capital allocation. The study's exploration of gender dynamics adds a new dimension to the existing research on SRI and behavioral finance.

This paper aims to compare the nature of three different business and management education (BME) research streams (online/blended learning, entrepreneurship education and experiential learning), along with their citation sources to draw insights on their support and legitimacy bases, with lessons on improving such support and legitimacy for the streams and the wider BME research field.

The authors analyze the nature of three BME research streams and their citation sources through tests of differences across streams.

The three streams differ in research foci and approaches such as the use of managerial samples in experiential learning, quantitative studies in online/blended education and literature reviews in entrepreneurship education. They also differ in sources of legitimacy recognition and avenues for mobilization of support. The underlying literature development pattern of the experiential learning stream indicates a need for BME scholars to identify and build on each other’s work.

Identification of different research bases and key supporting literature in the different streams shows important core articles that are useful to build research in each stream.

Readers will understand the different research bases supporting the three research streams, along with their targeted audience and practice implications.

The discovery of different support bases for the three different streams helps identify the network of authors and relationships that have been built in each stream.

According to the authors’ knowledge, this paper is the first to uncover differences in nature and citation sources of the three continuously growing BME research streams with recommendations on ways to improve the support of the three streams.

This research develops a data-driven statistical model capable of predicting a US Army Reserve (USAR) unit staffing levels based on unit location demographics. This model provides decision makers an assessment of a proposed station location’s ability to support a unit’s personnel requirements from the local population.

This research first develops an allocation method to overcome challenges caused by overlapping unit boundaries to prevent over-counting the population. Once populations are accurately allocated to each location, we then then develop and compare the performance of statistical models to estimate a location’s likelihood of meeting staffing requirements.

This research finds that local demographic factors prove essential to a location’s ability to meet staffing requirements. We recommend that the USAR and US Army Recruiting Command (USAREC) use the logistic regression model developed here to support USAR unit stationing decisions; this should improve the ability of units to achieve required staffing levels.

This research meets a direct request from the USAREC, in conjunction with the USAR, for assistance in developing models to aid decision makers during the unit stationing process.

The benefits associated with visibility in organizations depend on employees' willingness to engage with technologies that utilize visible communication and make communication visible to others. Without the participation of workers, enterprise social media have limited value. This study develops a framework to assess what deters and drives employees' use of enterprise social media.

Data were collected from 753 employees of a global company using an online survey. The response rate was 24.5%. The authors used structural equation modeling to test the hypothesized framework.

The results show that various fears by workers may deter or motivate enterprise social media use. This offers an alternative viewpoint for examining the consequences of communication visibility in organizations. Specifically, the findings demonstrate that the fear of accountability and the fear of losing uniqueness reduce enterprise social media use through increased codification efforts. The fear of missing out is directly and positively related to collecting behaviors on enterprise social media.

Expectations about participation in visible organizational communication environments are rising. However, as individuals may experience anxiety in such settings, the authors need to direct more analytical focus to the ways individuals manage communication visibility in organizing contexts and develop a deeper understanding of the consequences of fear in workplace communication.

The analysis recognizes that fear can play a key role in deterring or motivating workers' specific choices in navigating the challenges that occur when technology can make communication broadly visible. This study uses theorizing on communication visibility to bring together different fear mechanisms to predict enterprise social media use.