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This study aims to examine the effectiveness of bilingual learning strategies designed to support Chinese undergraduate business students facing significant learning challenges in an Australian university capstone curriculum delivered at their Chinese university. These challenges include the students’ difficulty understanding discipline-specific English terminology, using this terminology to discuss disciplinary concepts with their instructors and stress caused by an abnormally high study load.

In response to these challenges, the project team implemented a suite of bilingual strategies to reduce cognitive load and enhance learning, which included Chinese-English glossaries to build disciplinary-specific vocabularies; a bilingual teaching assistant to enable students to communicate in their language of choice; the use of WeChat to connect students to staff and to provide translanguaging opportunities; and bilateral managerial and academic support for strengthening the institutional cross-cultural relationship through staff exchange and language learning programs. A series of surveys were administered to measure the impact of these strategies on students’ learning, and WeChat logs were analysed to determine students’ linguistic preferences during discussions with staff and students.

The results of this project show strong support for each bilingual strategy, high academic performance amongst the student cohort, the positive contribution to learning and connection provided by social media technology, students’ language of choice preferences and chosen translanguaging styles and the important role of teaching staff in supporting international students’ intercultural learning and adaptation to a foreign university learning system.

This original evidence-based study helps to address the gap in bilingual education in Australian higher education demonstrating a successful strategy for dealing with language and discipline-specific challenges confronting EAL students.

Last March a new force in the world of school catering emerged. Founded by a team of school catering specialists, the FEAST group was spurred into action by forthcoming changes in education and recent changes in social services legislation.

The stock market generates massive databases of various financial companies that are highly volatile and complex. To forecast daily stock values of these companies, investors frequently use technical analysis or fundamental analysis. Data mining techniques coupled with fundamental and technical analysis types have the potential to give satisfactory results for stock market prediction. In the current paper, an effort is made to investigate the accuracy of stock market predictions by using the combined approach of variables from technical and fundamental analysis for the creation of a data mining predictive model.

We chose 381 companies from the National Stock Exchange of India's CNX 500 index and conducted a two-stage data analysis. The first stage is identifying key fundamental variables and constructing a portfolio based on that study. Artificial neural network (ANN), support vector machines (SVM) and decision tree J48 were used to build the models. The second stage entails applying technical analysis to forecast price movements in the companies included in the portfolios. ANN and SVM techniques were used to create predictive models for all companies in the portfolios. We also estimated returns using trading decisions based on the model's output and then compared them to buy-and-hold returns and the return of the NIFTY 50 index, which served as a benchmark.

The results show that the returns of both the portfolios are higher than the benchmark buy-and-hold strategy return. It can be concluded that data mining techniques give better results, irrespective of the type of stock, and have the ability to make up for poor stocks. The comparison of returns of portfolios with the return of NIFTY as a benchmark also indicates that both the portfolios are generating higher returns as compared to the return generated by NIFTY.

As stock prices are influenced by both technical and fundamental indicators, the current paper explored the combined effect of technical analysis and fundamental analysis variables for Indian stock market prediction. Further, the results obtained by individual analysis have also been compared. The proposed method under study can also be utilized to determine whether to hold stocks for the long or short term using trend-based research.

Small to medium-sized enterprises, SMEs, play a critical role in the global economy. They comprise 90% of the global firm population and employ more than 50% of the labor force in the private sector. This case study examines issues related to sustainable supply chain management and social entrepreneurship in the SME context. Being small does matter and the efficiencies of small to medium-sized companies struggling for competitive advantage in the global marketplace warrants consideration. Philosopher's Wool Co., located in Inverhuron, Ontario, Canada, is a woolen producer and woolens product manufacturer that partners with other Ontario wool producers and American wool processors and distributors. Its sustainable vertical supply chain system increased local woolen farmers' revenues contrary to the “conventional” price wisdom in the Canadian woolen industry and turned by-product cost into profitable end use. It also effected social change in its local business community and in global customer relations through resource efficiency and socially responsible employee and consumer policies. However, the struggle to maintain a foreign distribution network and remain competitive and profitable was problematic. Students are challenged to solve the problems of an SME operating in a global economy.

This paper explores the value of financial statement auditing in the public sector. The study applies theory about auditing from the private sector as well as the public sector to explore ways in which public sector auditing can be expected to be valuable. It shows that there are a number of complementary explanations that can be applied to examine the value of public audit, including agency, signaling, insurance, management control, governance and confirmation explanations. The evidence from research and history is generally consistent with the agency and management control explanations. There is some support for the signaling and insurance explanations, while research evidence suggests that governance has differing impact in the public sector compared to the private. The confirmation hypothesis is also potentially relevant. Reviewing the history of the development of public sector auditing functions shows that at least some developments were consistent with explanations such as agency theory and management control. Auditing in the public sector is an area where more research is valuable. The paper concludes with a discussion of issues for further investigation.

This paper employs human resources (HR) analytics to investigate the pathways through which high-potential managers ascend to C-suite positions, and how different developmental paths influence turnover among executives.

By combining job analysis and competency assessment with sequence analysis, the authors utilize HR analytics to analyze the work experiences of 53 general managers spanning 57 years (n = 2,742), encompassing various roles, job requirements, and 20 executive competencies attached to over 1,000 positions.

This study's findings reveal three distinct developmental paths that lead to the C-suite, characterized by differences in the content, context, timing, and complexity of work experience. Furthermore, the authors identify that a more complex developmental path tends to reinforce executives' competency in self-awareness while inhibiting their development of technical competency, ultimately resulting in reduced executive turnover.

By employing HR analytics to analyze empirical data embedded in job and organizational contexts, this study sheds light on the critical role of timing and complexity of work experiences in executive development. It also offers practical implications for firms seeking to optimize their leadership pipeline and reduce executive turnover by leveraging HR analytics effectively.

This paper aims to provide guidelines for upstream social marketing strategy on to whom, how and when social marketers can undertake upstream social marketing.

This article is a conceptual piece using academic literature to justify and conceptualise an approach to communicating with and influencing upstream actors.

Specifically, it looks at the characteristics of policymakers targeted, then targeting methods, with a special focus on the use of media advocacy. Finally, a process of government decision-making is presented to explain message timing and content.

Specific criteria to judge time of decision-making and implementation guidelines are provided for social marketers.

In the case of complex social problems, such as obesity and environmental degradation, structural change is needed to provide people with the ability to change (Andreasen, 2006). Strategic social marketing has identified upstream social marketing as a method to influence structural change through policymakers (French and Gordon, 2015); however, literature in the area tends to be descriptive and there are no clear guidelines to its implementation (Dibb, 2014). This article seeks to provide those guidelines.

Outlines recent US legislation regarding immigrant workers, prevailing wages, domestic workers, minors and overtime pay. Discusses the Hay method of evaluating jobs and then considers a modern point factors job evaluation plan. Briefly covers managerial strategies for implementing pay equity and advocates the need to be consist in the treatment of all workers. Lists a broad policy which, if be followed, should ensure consistency and fairness throughout a company.

Despite the breadth of knowledge on self and identity formation across the study of organizations, the field of organizational development and change has limited research on the construction of professional identity. Much has been written to describe the “self-concepts” of those practicing and researching in the field, but there have been no investigations that have explored how these “self-concepts” form. In addition, although women have contributed to defining the “self” in the field, men have held the dominant perspective on the subject. Thus, in this chapter, we address a disparity in the research by exploring the construction of professional identity in the field of organizational development and change, and we give voice to the renowned women who helped to build the field. Using the profiles of 17 American women included in The Palgrave Handbook of Organizational Change Thinkers, we perform a narrative analysis based upon the concepts and models prevalent in the literature on identity formation. By disentangling professional identity formation of the notable women in the field, we can begin to see the nuance and particularities involved in its construction and gain deeper understandings about effective ways to prepare individuals to work in and advance the field.