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The purpose of this paper is to explore the expectations and reality perspectives accrued in a preliminary management course and understand if they impart and embed real-world skills and develop work readiness.

Primary data collected for the research were qualitative. A total of six focus groups were conducted with a total of 52 students enrolled at a large metropolitan university in Australia. NViVO was used to code and analyse the data.

The study found that at the commencement of university studies, the expectations were simple like, making new friends, getting around the campus and settling well into the university culture, which over time extended to getting a part-time job, securing internships, memberships of associations, desire to participate in exchange programs and get work-ready by the close of the first year. The research outcomes show that those who held a part-time job while studying demonstrated a better understanding of the preliminary management subject matter taught in class and obtained better grades. Primarily, the preliminary management course did not specifically impart work-ready skills and it would be fitting to embed employability skills in the management curriculum from the commencement of their programs in the first year.

Qualitative research is used to comprehend a research problem from the outlook perspectives of the local population it involves. The limitations of this methodology includes no objectively verifiable result, adept interviewing skills for interviewers, slow and time consuming during interviewing process and intensive category process also as qualitative inquiry is normally open-ended, the participants have more control over the content of the data collected.

The lack of skill mismatch and graduates who are not work-ready incurs significant economic and social costs. A number of policy implications emerge due to university-labour market links and skills mismatches and the impact on students and the labour market. The rise in unemployment and the skills mismatch seen after the economic crisis requires immediate attention. Job creation is crucial but so is the need to develop graduate with appropriate matching skills and qualities to do the job. Mandatory internships, apprenticeships and on-the-job training for university students would help. Governments can provide financial incentives and subsidies to organisations providing the above services and working cooperatively with the universities to get students work-ready. Universities must raise the educational requirements over time as jobs become more complex. Universities can build communities of practice with the assistance of this scheme to enable students to interact with the industry professionals. An additional year of vocational training could be recommended for the graduating students. This would help the young graduates to get work-related skills. Wheelahan et al. (2015) state that building better links between education and work can help provide a more rational approach to vocational development. They propose the use of vocational streams and productive capabilities in the education system and labour market to achieve this.

This requires a combined effort from all stakeholders. A systematic approach needs to be adopted. First, the gap between the knowledge provided by the universities and the skills required by the employers need to be reduced. Second, the employers and the universities should keep a watch on the labour market and develop strategies to meet the dynamic requirements of the labour market collaboratively. Third, career guidance will help inform students make a career choice to match the labour market opportunities. This should be a part of the policy agenda for responding to the lack of work-ready graduates in the labour market.

Learning and teaching activities must include industry interface and engagement right from the first year at university. The main findings from this research indicated the need for better understanding of first-year students’ expectations. The two significant student expectations that emerged were “need for collaborations” and “industry interface”.

This study aims to explore how corporate social responsibility (CSR) has assumed a new meaning today, with the COVID-19 pandemic. This, in turn, has changed the way companies now view the impact of their activities on the environment, customers, employees, community and other stakeholders.

This paper uses a qualitative case study approach and draws a critical lens to document the complex interplay between dimensions of CSR, business sustainability and social issues, applying theoretical tools such as social capital theory and stakeholder theory to elucidate the nature of collaborative managerial responses to the organisation’s challenges during the pandemic. This is a case study paper. This paper applies multi method approach to develop a case study analysis through participant observation and report analysis to investigate the CSR approaches undertaken in India by Infosys Genesis, a global leader in technology services and consulting, and Akshaya Patra Foundation, a non-governmental organisation (NGO), which operates the world’s largest lunch school program. This was an appropriate methodology since the focus was on an area that was little understood, while the analysis required an in-depth understanding of a complex phenomenon through observation and a case study. In addition, case study research has been recommended for how, why and what type of research questions that focus on contemporary events (Saunders et al., 2003; Yin, 1994), such as CSR participation in the existing business environment. Furthermore, the issue under investigation is a real-life situation where the limitations between the phenomenon and the body of knowledge are unclear (Yin, 1994). This was the case because CSR has been probed by numerous disciplines through the application of various theoretical frameworks, each interpreting the context from their own perspective. Leximancer was used for the analysis (a text-mining software for visualising the structure of concepts and themes across case studies). This process differs from the traditional content analysis in that specific word strings are not needed; instead, Leximancer recognises what concepts are present in a set of texts, permitting concepts to be automatically coded in a grounded fashion (Cretchley et al., 2010, p. 2). The paper will be looked at from three levels comprising themes, concepts and concept profiling to create rich and reliable dimensions of a theoretical model (Myers, 2008). The themes are created in Leximancer software and are built on an algorithm that looks for hidden repeated patterns in interactions. The concepts add a layer and discover which concepts are shared by actors. The concept profiling allows to discover additional concepts and allows to do a discriminant analysis on prior concepts (Cretchley et al., 2010). Words that come up frequently are treated as concepts. Although the limited number of cases does not represent the entire sector, it enabled collection of rich data through quotes revealing some of the most crucial aspects of large organisations and non-profits in India.

The findings demonstrate how these robust, innovative, collaborative CSR initiatives between a multinational firm and an NGO have been leveraged to combat manifold issues of education, employment and hunger during the pandemic.

Despite significant implications, this study has limitations. A response from only two companies is investigated to the COVID-19 pandemic. The scope of this study is only India, a developing nation, thereby, cross country research is recommended. A comparative study between developed and developing countries may be conducted. A quantitative approach may be used to get empirical findings of the COVID-19 pandemic and post-pandemic policies of companies from an international perspective. Hence, there is ample opportunity to research organisations’ response to the pandemic and CSR as a strong arm to deal with critical disasters.

The paper offers new insights into exploring research and praxis agenda for collaborative potentials towards the evolution of CSR and sustainability.

The findings develop new initiatives and combat manifold issues of education, employment and hunger during the pandemic to provide quick relief.

The paper offers new insights into how companies are considering issues related to the crisis, including avoidance of layoffs and maintaining wage payments, and may be in a better position to access fresh capital, relief programs and emergency funds. Taking proactive health and safety measures may avert legal risks to the company. It is likely that the way in which companies are responding to the crises is a real-life test on resilience and adaptation.

There is no particularly efficient way to measure research output, but effectual assessment of research output is necessary to motivate and encourage researchers to enhance their research performance and disseminate knowledge. The purpose of this paper is to highlight the exacerbating pressure on Indian academics to deliver incessantly in terms of research output and identify an agreeable way to increase research output. The metric explores trends in management publications by Indian academics and presents an overview of collaborative practices by Indian management researchers that could shine a light on the trends of collaborative publishing future.

The study focuses on publications in the area of Business and Management. Scopus was used with advanced filters to draw relevant research papers. Data were then sorted and filtered on the basis of quality determined through Australian Business Deans Council rankings and diverse bibliometric information to understand the pattern of research output of Indian academics.

The research found that the rate of collaboration with researchers from the home country is low for top rated publications. Majority of publications were listed in Scopus indexed journals, whereas a handful featured in A and A* journals. A and A* journals were predominantly co-authored with academics from universities outside the country. Tradeoff was achieved by majority of authors by getting published in B, followed by C category journals to achieve research outputs.

The study is limited to publications in the area of Business and Management and may be extended to other disciplines such as economics, engineering, law, medical sciences, etc., to understand publishing trends at universities in the country. The study can also be conducted in understanding a similar dilemma with academics at other countries that are evolving in research culture.

The study would help management researchers to dig deep into the root cause and understand why and how collaborations within and outside the country impact the quality of publications. The results would further encourage ranking agencies to award suitable grades to colleges that promote collaboration within the country as well as international collaboration. The study also conducts a benchmarking exercise of the institutions in the country that would be useful for researchers, journals and colleges.

While earlier studies have highlighted the importance of foreign collaborations in academic publishing, there are a handful of studies that have focused on the role of collaboration within the home country. The practice of Indian authors collaborating with Indian counterparts at other universities would help understand the expertise of researchers at different universities and encourage the collaboration process and quality of publications in the country.

The study explores the readiness of government agencies to adopt artificial intelligence (AI) to improve the efficiency of disaster relief operations (DRO). For understanding the behavior of state-level and national-level government agencies involved in DRO, this study grounds its theoretical arguments on the civic voluntarism model (CVM) and the unified theory of acceptance and use of technology (UTAUT).

We collected the primary data for this study from government agencies involved in DRO in India. To test the proposed theoretical model, we administered an online survey questionnaire to 184 government agency employees. To test the hypotheses, we employed partial least squares structural equation modeling (PLS-SEM).

Our findings confirm that resources (time, money and skills) significantly influence the behavioral intentions related to the adoption of AI tools for DRO. Additionally, we identified that the behavioral intentions positively translate into the actual adoption of AI tools.

Our study provides a unique viewpoint suited to understand the context of the adoption of AI in a governmental context. Companies often strive to invest in state-of-the-art technologies, but it is important to understand how government bodies involved in DRO strategize to adopt AI to improve efficiency.

Our study offers a fresh perspective in understanding how the organizational culture and perspectives of government officials influence their inclinations to adopt AI for DRO. Additionally, it offers a multidimensional perspective by integrating the theoretical frameworks of CVM and UTAUT for a greater understanding of the adoption and deployment of AI tools with organizational culture and voluntariness as critical moderators.

The paper aims to examine new research on the internationalization of small- and medium-sized enterprises (SMEs) in Pacific Island Nation country Fiji.

A multiple case qualitative method was used which adopted a purposeful sampling methodology through semi-structured interviews to test propositions and present preliminary findings.

The authors find that, SME internationalization in Fiji is driven by management competence (MC) and entrepreneurial orientation (EO) and is hindered by the unfavourable institutional environment. The authors then develop a conceptual model and propositions to further explore these enablers and the inhibitors of Fiji SME internationalization. The authors’ findings have important implications for managers in improving their firms’ international performance.

This is a pioneering effort to evaluate the relationship between the factors of EO, MC and institutional distance and their impact on the international performance of SMEs. This paper contributes to the existing literature on international entrepreneurship through the examination of SMEs’ internationalization activities in Fiji.

This paper reviews the literature on internationalization barriers of small and medium enterprises (SMEs) from developing countries. The purposes of the study are: (1) to explicitly point out specific factors influencing the growth and internationalization of SMEs from developing countries and (2) to identify the research gaps to provide lucid and succinct directions for future research in this area.

The authors selected relevant papers from journals listed on Web of Science and Scopus databases.

It was found that there are large number of questions remain unanswered regarding the internationalization of SMEs from developing countries regarding the factors determining their growth and internationalization.

This review distinctively accentuates previous studies on such barriers influencing the growth of SMEs from developing countries and systematically synthesize the issues faced by those SMEs. Thus, the authors seek to provide a comprehensible platform for researchers working in this area.

The Denial of Service (DoS) attack is a category of intrusion that devours various services and resources of the organization by the dispersal of unusable traffic, so that reliable users are not capable of getting benefit from the services. In general, the DoS attackers preserve their independence by collaborating several victim machines and following authentic network traffic, which makes it more complex to detect the attack. Thus, these issues and demerits faced by existing DoS attack recognition schemes in cloud are specified as a major challenge to inventing a new attack recognition method.

This paper aims to detect DoS attack detection scheme, termed as sine cosine anti coronavirus optimization (SCACVO)-driven deep maxout network (DMN). The recorded log file is considered in this method for the attack detection process. Significant features are chosen based on Pearson correlation in the feature selection phase. The over sampling scheme is applied in the data augmentation phase, and then the attack detection is done using DMN. The DMN is trained by the SCACVO algorithm, which is formed by combining sine cosine optimization and anti-corona virus optimization techniques.

The SCACVO-based DMN offers maximum testing accuracy, true positive rate and true negative rate of 0.9412, 0.9541 and 0.9178, respectively.

The DoS attack detection using the proposed model is accurate and improves the effectiveness of the detection.

In a world where every competitive advantage must be fully exploited, productive diversity – utilising Australia’s linguistic and cultural diversity to economic benefit – offers a practical resource, which no organisation, including government, can afford to ignore. Astute employers have begun to tap this resource – people who speak the language, understand the culture and often maintain business and personal contacts in countries where they want to do business. The respondents in this research tell the story of the potential bottom line value of this unique human resource, termed productive diversity (that has been coined to describe the use of our language, skills and cultural diversity for economic benefit). This is a resource‐based study focussing on cultural resources and links to the country of origin as a sustained competitive advantage and a strategy for success of the ethnic business operations in Australia. It presents case studies/stories of ethnic entrepreneurs who have succeeded in business through productive diversity.

This chapter focuses on transforming cross-cultural conflict and misunderstanding into a learning opportunity, using a case study to illustrate an approach that has proven effective in tens of thousands of conflicts. This approach surfaces cultural values and approaches to work, toward improving intercultural management practices. It also supports employees to resolve their issues themselves, toward more sustainable solutions.