One of the key attempts towards a collective African vision is the New Economic Partnership for African Development (NEPAD). Barnard and Vonk (2003) report that “53 countries have been urged to implement ICTs in three crucial development arenas: education, health and trade”. While NEPAD and other initiatives have contributed to the provision of ICT infrastructure with positive results as seen in the growth of Internet uses, the disparities in development across Africa are enormous. The challenge to Higher Education Institutions in Africa has been summarised by Colle (2005): “central to creating digital resources and academic infrastructure is the question of universities’ relevance to the world around them, and especially to the challenge of being an active player – ‘an anchor of a broad-based poverty alleviation strategy’ in an increasingly knowledge-based economy”. It can be inferred from Colle that the activities of HEIs in Africa ought to be geared towards contributing to the realisation of the Millennium development goals.

Aim/Purpose: Governments, private business, and academia have become increasingly aware of the importance of collaboration in multi-stakeholder, multicultural environments. This is due to the globalization and (developing) mutual relationships with other global partners, due to the often varying visions and goals between the respective organizations in managing projects that span those environments. Background: This research conducts a survey of literature pertaining to organizational collaboration in multi-stakeholder, multicultural environments in government, private business, and academic sectors, conducting an analysis to identify the gaps in the basic questions thus far explored in the literature. The gap analysis will expose the opportunities for greater collaboration in these environments. Methodology: The author conducted a literature review to identify existing research gaps to focus interviews that will develop multiple case studies in future research. Contribution/Findings: This literature review has determined gaps in understanding how contributing factors to cultural communication impact collaboration in multi-cultural, multi-stakeholder organizations, encouraging additional research in this area. Recommendations for Practitioners: Practitioners have the opportunity to develop their use of cultural communication contributing factors, potentially increasing their collaboration efficiency. Recommendation for Researchers: Researchers have opportunity to gather empirical evidence that factors of cultural communication may influence collaboration in the multi-cultural, multi-stakeholder environment. Impact on Society Improved understanding of how cultural communication factors influence collaboration in multi-cultural, multi-stakeholder organizations can improve organizational efficiency. Future Research: Gather empirical evidence that factors of cultural communication may influence collaboration in the multi-cultural, multi-stakeholder environment.

Aim/Purpose: The uptake of university by regional students has been problematic for various reasons. This paper discusses a program, initiated by a South Australian regional university campus, aimed at attracting regional students into higher education. Background: A qualitative descriptive approach to study was used to determine the value of the program on participating students and school staff. Year 10 students from Roxby Downs, Port Augusta and Port Lincoln high schools were invited to participate in a two-day regionally-focussed school-university engagement program that linked students with the university campus and local employers. Methodology: A survey was administered to determine the impact of the program. Perceptions about the program by school staff were gathered using a modified One-Minute Harvard questionnaire. While 38 Year 10 students and 5 school staff members participated, 37 students and 3 staff evaluated the program. Findings: The findings revealed that the majority of the students would like to attend university, but financial and social issues were important barriers. The students learned about the regional university, what it can offer in terms of programs and support, and the employment prospect following university. The school staff benefited by developing a closer relationship with students and becoming better informed about the regional university. Recommendation for Practitioners: One way by which university uptake may be increased is to provide similar immersion programs featuring engagement with employers, our recommendation to other regional universities. In increasing the levels of education, individuals, communities and the society in general are benefited.

Aim/Purpose: This paper explores the benefits and challenges of experiencing virtual multi-cultural teamwork in order to learn entrepreneurship. Background: Entrepreneurial eco-system usually requires working in international, virtual multi-cultural diverse teams. Higher education institutes are trying to educate future generation of entrepreneurs, coping with challenges derived from the virtual work and cultural diversity. Prior research shows that traditional learning is not effective for entrepreneurial education. Methodology: An explorative study was conducted based on the BIPA project, a Bavarian (German)-Israeli Partnership Accelerator, which was held four times between 2015 and 2017. The project aims to experience entrepreneurial virtual multicul-tural teamwork via co-creation of tailored-solutions for challenges of German or Israeli corporates. Retrospective interviews with participants were held after finishing their mission, and analyzed. Contribution: This research contributes to the body of knowledge about multicultural diverse participants in virtual entrepreneurial environments, in order to work together. This situation raises new challenges, due to the combination of multicultural teamwork and the use of virtual communication. Findings: The multicultural teamwork was a trigger to participate, specifically in the con-text of entrepreneurship studies with those two cultures, German and Israeli, which were found by participants as complementary, stimulating and fruitful, although challenging. Through experience, participants improved their entrepreneurial skills and mindset. The major teamwork challenges that were found included conflicts concerning free-riding, as well as communication challenges, due to virtual, language and cultural communication competencies. Recommendations for Practitioners: At a practical level, results can be useful for global companies, showing the benefits of virtual teamwork of employees in different locations, both in terms of reducing expenses and improving innovation. Moreover, managers can motivate employees by highlighting personal benefits, such as cultural awareness and improving their entrepreneurial skills and mindset. In addition, faculty may use this kind of experience to enhance entrepreneurial learning skills and mindset. Recommendations for Researchers : At the theoretical level, this research advances the body of knowledge of entrepreneurial multicultural teamwork in a virtual environment. In this research, the teams worked for a short time together (14 weeks) and had a week of face-to-face interaction with their team members. It is recommended to examine long-term teamwork, and how it affects teamwork challenges, as well as entrepreneurial learning. This research found the combination of German-Israeli cultures as stimulating entrepreneurial teamwork. It is recommended to examine other cultural combinations in teams, in order to be able to generalize findings. Impact on Society: Understanding the needs, benefits, and challenges of entrepreneurial multicul-tural teams working in a virtual environment can be useful to current global entrepreneurial eco-system, which is commonly using this kind of teamwork. Future Research: ‎This study included teams from two cultures: German and Israeli. Research must be expanded to different cultures and to groups compounded from more than two cultures. Moreover, the combination of virtual communication and face-to-face meetings in different milestones during the timeline of the teamwork must be further examined, especially in longer projects.

Aim/Purpose: Little is known of the cultural competence or leadership styles of a minority owned newspaper. This autoethnography serves to benchmark one early 1990s example. Background: I focused on a series of flashbacks to observe an African American weekly newspaper editor-in-chief for whom I reported to 25 years ago. In my reflections I sought to answer these questions: How do minorities in entrepreneurial organizations view their own identity, their cultural competence? What degree of this perception is conveyed fairly and equitably in the community they serve? Methodology: Autoethnography using both flashbacks and article artifacts applied to the leadership of an early 1990s African American weekly newspaper. Contribution: Since a literature gap of minority newspaper cultural competence examples is apparent, this observation can serve as a benchmark to springboard off older studies like that of Barbarin (1978) and that by examining the leadership styles and editorial authenticity as noted by The Chicago School of Media Theory (2018), these results can be used for comparison to other such minority owned publications. Findings: By bringing people together, mixing them up, and conducting business any other way than routine helped the Afro-American Gazette, Grand Rapids, proudly display a confidence sense of cultural competence. The result was a potentiating leadership style, and this style positively changed the perception of culture, a social theory change example. Recommendations for Practitioners: For the minority leaders of such publications, this example demonstrates effective use of potentiating leadership to positively change the perception of the quality of such minority owned newspapers. Recommendations for Researchers: Such an autoethnography could be used by others to help document other examples of cultural competence in other minority owned newspapers. Impact on Society: The overall impact shows that leadership at such minority owned publications can influence the community into a positive social change example. Future Research: Research in the areas of culture competence, leadership, within minority owned newspapers as well as other minority alternative publications and websites can be observed with a focus on what works right as well as examples that might show little social change model influence. The suggestion is to conduct the research while employed if possible, instead of relying on flashbacks.

Aim/Purpose: The aim of this study was to examine the sense of challenge and threat, negative feelings, self-efficacy, and motivation among students in a virtual and a blended course on multicultural campuses and to see how to afford every student an equal opportunity to succeed in academic studies. Background: Most academic campuses in Israel are multicultural, with a diverse student body. The campuses strive to provide students from all sectors, regardless of nationality, religion, etc., the possibility of enjoying academic studies and completing them successfully. Methodology: This is a mixed-method study with a sample of 484 students belonging to three sectors: general Jewish, ultra-orthodox Jewish, and Arab. Contribution: This study’s findings might help faculty on multicultural campuses to advance all students and enable them equal opportunity to succeed in academic studies. Findings: Significant sectorial differences were found for the sense of challenge and threat, negative feelings, and motivation. We found that the sense of challenge and level of motivation among Arab students was higher than among the ultra-orthodox Jewish students, which, in turn, was higher than among the general Jewish student population. On the other hand, we found that the perception of threat and negative feelings among Arab students were higher than for the other two sectors for both the virtual and the blended course. Recommendations for Practitioners: Significant feedback might lessen the sense of threat and the negative feelings and be a meaningful factor for the students to persevere in the course. Intellectual, emotional, and differential feedback is recommended. Not relating to students’ difficulties might lead to a sense of alienation, a lack of belonging, or inability to cope with the tasks at hand and dropout from the course, or even from studies altogether. A good interaction between lecturer and student can change any sense of incompetence or helplessness to one of self-efficacy and the ability to interact with one’s surroundings. Recommendations for Researchers: Lecturers can reduce the sense of threat and negative feelings and increase a student’s motivation by making their presence felt on the course website, using the forums to manage discussions with students, and enabling and encouraging discussion among the students. Impact on Society: The integration of virtual learning environments into the learning process might lead to the fulfilment of an educational vision in which autonomous learners realize their personal potential. Hence they must be given tasks requiring the application of high learning skills without compromise, but rather with differential treatment of students in order to reduce negative feelings and the sense of threat, and to reduce the transactional distance. Future Research: Further studies should examine the causes of negative feelings among students participating in virtual and blended courses on multicultural campuses and how these feelings can be handled.

Recently ERP implementation has seen increasing significance in different sectors. The research related to the implementation issues of ERP has also increased during the past decade. Particularly the behavioral aspects of ERP implementations have been researched in terms of identifying appropriate frameworks, critical success factors, perception and attitude of users and managers, the role of change agents, leadership, etc. This conceptual review summarizes some of the studies done on the above aspects and suggests further research areas. It is suggested that leadership competencies, learning attitude of the users, and organizational power dynamics can be potential areas of research in the context of ERP implementation.

Aim/Purpose: The primary purpose of this study is to provide a cost-effective and artificial intelligence enabled security solution for IoT enabled healthcare ecosystem. It helps to implement, improve, and add new attributes to healthcare services. The paper aims to develop a method based on an artificial neural network technique to predict suspicious devices based on bandwidth usage. Background: COVID has made it mandatory to make medical services available online to every remote place. However, services in the healthcare ecosystem require fast, uninterrupted facilities while securing the data flowing through them. The solution in this paper addresses both the security and uninterrupted services issue. This paper proposes a neural network based solution to detect and disable suspicious devices without interrupting critical and life-saving services. Methodology: This paper is an advancement on our previous research, where we performed manual knowledge-based intrusion detection. In this research, all the experiments were executed in the healthcare domain. The mobility pattern of the devices was divided into six parts, and each one is assigned a dedicated slice. The security module regularly monitored all the clients connected to slices, and machine learning was used to detect and disable the problematic or suspicious devices. We have used MATLAB’s neural network to train the dataset and automatically detect and disable suspicious devices. The different network architectures and different training algorithms (Levenberg–Marquardt and Bayesian Framework) in MATLAB software have attempted to achieve more precise values with different properties. Five iterations of training were executed and compared to get the best result of R=99971. We configured the application to handle the four most applicable use cases. We also performed an experimental application simulation for the assessment and validation of predictions. Contribution: This paper provides a security solution for the IoT enabled healthcare system. The architectures discussed suggest an end-to-end solution on the sliced network. Efficient use of artificial neural networks detects and block suspicious devices. Moreover, the solution can be modified, configured and deployed in many other ecosystems like home automation. Findings: This simulation is a subset of the more extensive simulation previously performed on the sliced network to enhance its security. This paper trained the data using a neural network to make the application intelligent and robust. This enhancement helps detect suspicious devices and isolate them before any harm is caused on the network. The solution works both for an intrusion detection and prevention system by detecting and blocking them from using network resources. The result concludes that using multiple hidden layers and a non-linear transfer function, logsig improved the learning and results. Recommendations for Practitioners: Everything from offices, schools, colleges, and e-consultation is currently happening remotely. It has caused extensive pressure on the network where the data flowing through it has increased multifold. Therefore, it becomes our joint responsibility to provide a cost-effective and sustainable security solution for IoT enabled healthcare services. Practitioners can efficiently use this affordable solution compared to the expensive security options available in the commercial market and deploy it over a sliced network. The solution can be implemented by NGOs and federal governments to provide secure and affordable healthcare monitoring services to patients in remote locations. Recommendation for Researchers: Research can take this solution to the next level by integrating artificial intelligence into all the modules. They can augment this solution by making it compatible with the federal government’s data privacy laws. Authentication and encryption modules can be integrated to enhance it further. Impact on Society: COVID has given massive exposure to the healthcare sector since last year. With everything online, data security and privacy is the next most significant concern. This research can be of great support to those working for the security of health care services. This paper provides “Security as a Solution”, which can enhance the security of an otherwise less secure ecosystem. The healthcare use cases discussed in this paper address the most common security issues in the IoT enabled healthcare ecosystem. Future Research: We can enhance this application by including data privacy modules like authentication and authorisation, data encryption and help to abide by the federal privacy laws. In addition, machine learning and artificial intelligence can be extended to other modules of this application. Moreover, this experiment can be easily applicable to many other domains like e-homes, e-offices and many others. For example, e-homes can have devices like kitchen equipment, rooms, dining, cars, bicycles, and smartwatches. Therefore, one can use this application to monitor these devices and detect any suspicious activity.

Aim/Purpose: The aim of the study is to explore factors that affect how healthcare clients in rural areas use infomediaries in maternal mHealth interventions. The study focuses on maternal healthcare clients who do not own mobile phones but use the mHealth intervention. Background: Maternal mHealth interventions in poor-resource settings are bedevilled by inequalities in mobile phone ownership. Clients who do not own mobile phones risk being excluded from benefiting from the interventions. Some maternal mHealth providers facilitate the access of mobile phones for those who do not own them using “infomediaries”. Infomediaries, in this case, refer to individuals who have custody of mobile phones that other potential beneficiaries may use. However, the use of infomediaries to offer access to the “have nots” may be influenced by a number of factors. Methodology: The study uses a case of a maternal mHealth intervention project in Malawi, as well as a qualitative research method and interpretive paradigm. Data was collected using secondary data from the implementing agency, semi-structured interviews, and focus group discussions. Empirical data was collected from maternal healthcare clients who do not own mobile phones and infomediaries. Data were analysed inductively using thematic analysis. Contribution: The study proposed a theoretical framework for studying infomediaries in ICT4D. The study may inform mHealth designers, implementers, and policymakers on how infomediaries could be implemented in a rural setting. Consequently, understanding the factors that affect the use of infomediaries may inform mHealth intervention implementers on how they could overcome the challenges by implementing mHealth interventions that reduce the challenges on the mHealth infomediaries side, and the maternal healthcare clients’ side. Findings: Characteristics of the maternal healthcare client, characteristics of the mHealth infomediary, perceived value of mHealth intervention, and socio-environmental factors affect maternal healthcare clients’ use of mHealth infomediaries. Recommendations for Practitioners: Implementers of interventions ought to manage the use of infomediaries to avoid volunteer fatigue and infomediaries who may not be compatible with the potential users of the intervention. Implementers could leverage traditional systems of identifying and using infomediaries instead of reinventing the wheel. Recommendation for Researchers: This research adopted a single case study to develop the theoretical framework for mHealth infomediary use. We recommend future studies are conducted in order to test and develop this framework further, not only in ICT4D, but also in other areas of application. Impact on Society: People still lack access. The lack of ownership of technology may still exclude them from participating in an information society. The use of infomediaries may help to provide access to technologies to those who do not have them thereby bridging the digital divide gap. Future Research: We propose herein that traditional systems may offer a good starting point for designing a system that would work for communities. We, therefore, recommend that future research may explore these possibilities.

Aim/Purpose: This paper aims to empirically quantify the financial distress caused by the COVID-19 pandemic on companies listed on Amman Stock Exchange (ASE). The paper also aims to identify the most important predictors of financial distress pre- and mid-pandemic. Background: The COVID-19 pandemic has had a huge toll, not only on human lives but also on many businesses. This provided the impetus to assess the impact of the pandemic on the financial status of Jordanian companies. Methodology: The initial sample comprised 165 companies, which was cleansed and reduced to 84 companies as per data availability. Financial data pertaining to the 84 companies were collected over a two-year period, 2019 and 2020, to empirically quantify the impact of the pandemic on companies in the dataset. Two approaches were employed. The first approach involved using Multiple Discriminant Analysis (MDA) based on Altman’s (1968) model to obtain the Z-score of each company over the investigation period. The second approach involved developing models using Artificial Neural Networks (ANNs) with 15 standard financial ratios to find out the most important variables in predicting financial distress and create an accurate Financial Distress Prediction (FDP) model. Contribution: This research contributes by providing a better understanding of how financial distress predictors perform during dynamic and risky times. The research confirmed that in spite of the negative impact of COVID-19 on the financial health of companies, the main predictors of financial distress remained relatively steadfast. This indicates that standard financial distress predictors can be regarded as being impervious to extraneous financial and/or health calamities. Findings: Results using MDA indicated that more than 63% of companies in the dataset have a lower Z-score in 2020 when compared to 2019. There was also an 8% increase in distressed companies in 2020, and around 6% of companies came to be no longer healthy. As for the models built using ANNs, results show that the most important variable in predicting financial distress is the Return on Capital. The predictive accuracy for the 2019 and 2020 models measured using the area under the Receiver Operating Characteristic (ROC) graph was 87.5% and 97.6%, respectively. Recommendations for Practitioners: Decision makers and top management are encouraged to focus on the identified highly liquid ratios to make thoughtful decisions and initiate preemptive actions to avoid organizational failure. Recommendation for Researchers: This research can be considered a stepping stone to investigating the impact of COVID-19 on the financial status of companies. Researchers are recommended to replicate the methods used in this research across various business sectors to understand the financial dynamics of companies during uncertain times. Impact on Society: Stakeholders in Jordanian-listed companies should concentrate on the list of most important predictors of financial distress as presented in this study. Future Research: Future research may focus on expanding the scope of this study by including other geographical locations to check for the generalisability of the results. Future research may also include post-COVID-19 data to check for changes in results.

Aim/Purpose: The last decade has witnessed a tremendous progression in mobile penetration across the world and, most importantly, in developing countries like India. This research aims to investigate and analyze the factors influencing the adoption of mobile payments (M-payments) in the Indian rural population. This, in turn, would bring about positive changes in the lives of people in these countries. Background: A conceptual framework was worked upon using UTAUT as a foundation, which included constructs, namely, facilitating conditions, social influences, performance expectancy, and effort expectancy. The model was further extended by incorporating the awareness construct of m-payments to make it more comprehensive and to understand behavioral intentions and usage behavior for m-payments in rural India. Methodology: A questionnaire-based study was conducted to collect primary data from 410 respondents residing in rural areas in the state of Punjab. Convenience sampling was conducted to collect the data. Structural equation modeling was used to conduct statistical analysis, including exploratory and confirmatory factor analyses. Contribution: A new conceptual model for M-payments adoption in rural India was developed based on the study’s findings. Using the findings of the study, marketers, policymakers, and academicians can gain insight into the factors that motivate the rural population to use M-payments. Findings: The study has found that M-payment Awareness (AW) is the strongest factor within the proposed model for deeper diffusion of M-payments in rural areas in the state of Punjab. Performance expectancy (PE), effort expectancy (EE), social influences (SI), and facilitating conditions (FC) are also positively and significantly related to behavioral intentions for using M-payments among the Indian rural population in the state of Punjab. Recommendations for Practitioners: M-payments are emerging as a new mode of transactions among the Indian masses. The government needs to play a pivotal role in advocating the benefits linked with the usage of M-payments by planning financial literacy and awareness campaigns, promoting transparency and accountability of the intermediaries, and reducing transaction costs of using M-payments. Mobile manufacturing companies should come up with devices that are easy to use and incorporate multilanguage mobile applications, especially for rural areas, as India is a multi-lingual country. A robust regulatory framework will not only shape consumer trust but also prevent privacy breaches. Recommendation for Researchers: It is recommended that a comparative study among different M-payment platforms be conducted by exploring constructs such as usefulness and ease of use. However, the vulnerability of data leakage may result in insecurity and skepticism about its adoption. Impact on Society: India’s rural areas have immense potential for adoption of M-payments. Appropriate policies, awareness drives, and necessary infrastructure will boost faster and smoother adoption of M-payments in rural India to thrive in the digital economy. Future Research: The adapted model can be further tested with moderating factors like age, gender, occupation, and education to understand better the complexities of M-payments, especially in rural areas of India. Additionally, cross-sectional studies could be conducted to evaluate the behavioral intentions of different sections of society.

Aim/Purpose: This research aims to develop a smart agricultural knowledge management framework to empower emergent farmers and extension officers (advisors to farmers) in developing countries as part of a smart farming lab (SFL). The framework utilizes knowledge objects (KOs) to capture information and knowledge of different forms, including indigenous knowledge. It builds upon a foundation of established agricultural knowledge management (AKM) models and serves as the cornerstone for an envisioned SFL. This framework facilitates optimal decision support by fostering linkages between these KOs and relevant organizations, knowledge holders, and knowledge seekers within the SFL environment. Background: Emergent farmers and extension officers encounter numerous obstacles in their knowledge operations and decision-making. This includes limited access to agricultural information and difficulties in applying it effectively. Many lack reliable sources of support, and even when information is available, understanding and applying it to specific situations can be challenging. Additionally, extension offices struggle with operational decisions and knowledge management due to agricultural organizations operating isolated in silos, hindering their access to necessary knowledge. This research introduces an SFL with a proposed AKM process model aimed at transforming emergent farmers into smart, innovative entities by addressing these challenges. Methodology: This study is presented as a theory-concept paper and utilizes a literature review to evaluate and synthesize three distinct AKM models using several approaches. The results of the analysis are used to design a new AKM process model. Contribution: This research culminates in a new AKM process framework that incorporates the strengths of various existing AKM models and supports emergent farmers and extension officers to become smart, innovative entities. One main difference between the three models analyzed, and the one proposed in this research, is the deployment and use of knowledge assets in the form of KOs. The proposed framework also incorporates metadata and annotations to enhance knowledge discoverability and enable AI-powered applications to leverage captured knowledge effectively. In practical terms, it contributes by further motivating the use of KOs to enable the transfer and the capturing of organizational knowledge. Findings: A model for an SFL that incorporates the proposed agricultural knowledge management framework is presented. This model is part of a larger knowledge factory (KF). It includes feedback loops, KOs, and mechanisms to facilitate intelligent decision-making. The significance of fostering interconnected communities is emphasized through the creation of linkages. These communities consist of knowledge seekers and bearers, with information disseminated through social media and other communication integration platforms. Recommendations for Practitioners: Practitioners and other scholars should consider implementing the proposed AKM process model as part of a larger SFL to support emergent farmers and extension officers in making operational decisions and applying knowledge management strategies. Recommendation for Researchers: The AKM process model is only presented in conceptual form. Therefore, researchers can practically test and assess the new framework in an agricultural setting. They can also further explore the potential of social media integration platforms to connect knowledge seekers with knowledge holders. Impact on Society: The proposed AKM process model has the potential to support emergent farmers and extension officers in becoming smart, innovative entities, leading to improved agricultural practices and potentially contributing to food security. Future Research: This paper discusses the AKM process model in an agrarian setting, but it can also be applied in other domains, such as education and the healthcare sector. Future research can evaluate the model’s effectiveness and explore and further investigate the semantic web and social media integration.

This paper reports on a case study of a group of six non-native English speaking migrant women’s experiences learning English vocabulary in a mobile assisted language learning (MALL) environment at a small community centre in Western Australia. A sociocultural approach to learning vocabulary was adopted in designing the MALL lessons that the women undertook. The women provided demographic information, responded to questions in a pre-MALL semi-structured interview, attended the MALL lessons, and completed a post-MALL semi-structured interview. This study explores the sociocultural factors that affect migrant women’s language learning in general, and vocabulary in particular. The women’s responses to MALL lessons and using the tablet reveal a positive effect in their vocabulary learning.

Aim/Purpose: The purpose of this study is to discover usage differences in task performance by students of different cultures, by examining procrastination patterns from a national cultural perspective and exploring the effect of multicultural virtual teamwork on students’ individual procrastination. Background: This study aims to examine higher-education entrepreneurial learning in the context of multicultural virtual teamwork, as performed during participation on a Global Entrepreneurship course. Methodology: The methodology consists of quantitative comparative data analytics preceding and subsequent to intercultural team activities. This research is based on analyses of objective data collected by Moodle, the LMS used in the In2It project, in its built-in log system from the Global Entrepreneurship course website, which offers students diverse entities of information and tasks. In the examined course, there were 177 participants, from three different countries: United Kingdom, France and Israel. The students were grouped into 40 multicultural virtual (not face-to-face) teams, each one comprised of participants from at least two countries. The primary methodology of this study is analytics of the extracted data, which was transferred into Excel for cleaning purposes and then to SPSS for analysis. Contribution: This study aims to discover the effects of multicultural teamwork on individual procrastination while comparing the differences between cultures, as there are only a few studies exploring this relation. The uniqueness of this study is using and analyzing actual data of student procrastination from logs, whereas other studies of procrastination in multicultural student teams have measured perceived procrastination, collected using surveys. Findings: The results show statistical differences between countries in procrastination of individual assignments before team working: students from UK were the most procrastinators and Israeli students were the least procrastinators, but almost all students procrastinated. However, the outcome of the teamwork was submitted almost without procrastination. Moreover, procrastination in individual assignments performed after finishing the multicultural teamwork dramatically decreased to 10% of the students’ prior individual procrastination. Recommendations for Practitioners: The results from this study, namely, the decline of the procrastination after the multicultural virtual teamwork, can be used by global firms with employees all over the world, working in virtual multicultural teams. Such firms do not need to avoid multicultural teams, working virtually, as they can benefit from this kind of collaboration. Recommendation for Researchers: These results can be also beneficial for academic researchers from different cultures and countries, working together in virtual multicultural teams. Impact on Society: Understanding the positive effect of virtual multicultural teamwork, in mitigating the negative tendency of students from diverse cultures to procrastinate, as concluded in this study, can provide a useful tool for higher education or businesses to mitigate procrastination in teamwork processes. It can also be used as an experiential learning tool for improving task performance and teamwork process. Future Research: The relation between procrastination and motivation should be further examined in relation to multicultural virtual teams. Further research is needed to explore the effect of multicultural virtual teamwork during the teamwork process, and the reasoning for this effect.

Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student’s grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence learning processes, with and without a general overview of the problem that it is under examination. Applying the idea of the general perspective that the network gets on the sentences and deriving recommendations from this for teaching processes. Background: We looked for common patterns of computer errors and human grammar mistakes. Also deducing the neural network’s learning process, deriving conclusions, and applying concepts from this process to the process of human learning. Methodology: We used DL technologies and research methods. After analysis, we built models from three types of complex neuronal networks – LSTM, Bi-LSTM, and GRU – with sequence-to-sequence architecture. After this, we combined the sequence-to- sequence architecture model with the attention mechanism that gives a general overview of the input that the network receives. Contribution: The cost of computer applications is cheaper than that of manual human effort, and the availability of a computer program is much greater than that of humans to perform the same task. Thus, using computer applications, we can get many desired examples of mistakes without having to pay humans to perform the same task. Understanding the mistakes of the machine can help us to under-stand the human mistakes, because the human brain is the model of the artificial neural network. This way, we can facilitate the student learning process by teaching students not to make mistakes that we have seen made by the artificial neural network. We hope that with the method we have developed, it will be easier for teachers to discover common mistakes in students’ work before starting to teach them. In addition, we show that a “general explanation” of the issue under study can help the teaching and learning process. Findings: We performed the test case on the Hebrew language. From the mistakes we received from the computerized neuronal networks model we built, we were able to classify common human errors. That is, we were able to find a correspondence between machine mistakes and student mistakes. Recommendations for Practitioners: Use an artificial neural network to discover mistakes, and teach students not to make those mistakes. We recommend that before the teacher begins teaching a new topic, he or she gives a general explanation of the problems this topic deals with, and how to solve them. Recommendations for Researchers: To use machines that simulate the learning processes of the human brain, and study if we can thus learn about human learning processes. Impact on Society: When the computer makes the same mistakes as a human would, it is very easy to learn from those mistakes and improve the study process. The fact that ma-chine and humans make similar mistakes is a valuable insight, especially in the field of education, Since we can generate and analyze computer system errors instead of doing a survey of humans (who make mistakes similar to those of the machine); the teaching process becomes cheaper and more efficient. Future Research: We plan to create an automatic grammar-mistakes maker (for instance, by giving the artificial neural network only a tiny data-set to learn from) and ask the students to correct the errors made. In this way, the students will practice on the material in a focused manner. We plan to apply these techniques to other education subfields and, also, to non-educational fields. As far as we know, this is the first study to go in this direction ‒ instead of looking at organisms and building machines, to look at machines and learn about organisms.

This article is part of the 2024 BCLT-BTLJ-CMTL Symposium.  Angela R. Riley When my tribe, the Citizen Potawatomi Nation of Oklahoma (CPN), established an Eagle Aviary to protect and care for injured eagles that could no longer survive in the wild, it did so with a few goals in mind. ...

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Previous academic and popular literature has raised important debates concerning the contradictory incentives of international firms to reduce their environmental impacts and offer transparent environmental information about their operations. As an exhaustive review of this literature reveals mixed and partial evidence, we compared the individual corporate environmental performance and disclosure of the 100 most international non-financial firms in the world to those of 16,023 firms in their industries and a group of matched pairs of firms for three different years. Our results show that although the top international firms have a much better record of environmental disclosure than the firms within their industries and the matched pairs, the top international firms also show worse environmental performance than their peers. The results suggest that the top international firms seek legitimation for their environmental activities by means of voluntary disclosure.

Social welfare, or the good society, is of central concern to the Academy of Management. In this paper, we review the concept of social welfare, suggesting that regardless of discipline, social welfare is defined as a multi-dimensional phenomenon. We then review the literature on the corporate objective within a market economy, where the dominant view is that of a single-objective function. Analyzing this view, we argue for a multi-dimensional objective for organizations in order to meet social welfare objectives: where decision making within a market economy better utilizes the benefits of markets. We suggest that improvements in social welfare are possible where markets are better-enabled to operate among stakeholders unconstrained by some single-valued objective. In doing so, we respond to the critics of stakeholder theory who argue that it is an untenable theory due to its inability to specify how stakeholder objectives are to be prioritized.

Agency theory-grounded research on boards of directors and firm legitimacy has historically viewed CEO power as de-legitimating, often taking this fact for granted in theorizing about external assessors' evaluations of a firm. With few exceptions, this literature has focused exclusively on capital market participants (e.g., investors, securities analysts) as the arbiters of a firm's legitimacy and has accordingly assumed that legitimate governance arrangements are those derived from the shareholder-oriented prescriptions of agency theory. We extend this line of research in new ways by arguing that customers also externally assess firm legitimacy, and that firms potentially adjust their governance characteristics to meet customers' norms and expectations. We argue that the cultural-cognitive institutions prevalent in customers' home countries influence their judgments regarding a firm's legitimacy, such that firms competing heavily in high-power distance cultures are more likely to have powerful CEOs, with CEO power a source of legitimacy—rather than illegitimacy—among customers. We also argue that the more dependent a firm is on its customers and the more salient cultural power distance is as a demand-side institutional norm, the greater this relationship will be. Data from 151 U.S. semiconductor and pharmaceutical firms over a 10-year period generally support our predictions.

We examine how top management team (TMT) misfit, defined as discrepancies between the TMT's functional roles and the qualifications of the managers who fill those roles, affects the evolution of TMT composition and structure in a longitudinal study of entrepreneurial ventures. We distinguish two types of misfit - overqualification and underqualification - and study how each is associated with TMT changes. We further consider the moderating effect of firm development. Results reveal that underqualified TMTs hire new managers to reinforce existing capabilities whereas overqualified TMTs elaborate their role structures. However, achieving developmental milestones (i.e., obtaining venture capital funding and staging an initial public offering) is a critical contingency to TMT change: absent these milestones, firms neither hire new managers nor add roles, even when they seemingly need to do so. These findings contribute to knowledge of how TMTs and new ventures evolve by underscoring the importance of simultaneously attending to TMT composition and structure.

This paper examines when firms pursue structural realignment through the recombination of business units. Our results refine and extend contingency theory and studies of organization design by drawing on theories of decision avoidance and delay to describe conditions when firms pursue or postpone structural realignment. Our empirical analysis of 46 firms from 1978 to 1997 operating within the U.S. medical device and pharmaceutical sectors demonstrates that while decision makers initiate structural recombination during periods of industry growth (i.e., munificence), they reduce their recombination efforts during periods of industry turbulence (i.e., dynamism) and managerial turbulence (i.e., growth in top management team size). We also find evidence that firms delay realignment and bide their time for better environmental conditions of declining turbulence and industry growth before pursuing more structural realignment. Together, these findings suggest that decision makers often delay initiating structural recombination until they can effectively process information and assess how structural changes will help them realign the organization to the environment.

Do you teach anyone whom you would consider a member of the next generation of global leaders? If you answered "yes" to this question, you likely teach an audience within which many of its members already possess intercultural experience, have traveled widely, and perhaps speak several languages. These globally minded students demand in-depth learning approaches which help them prepare for complex global leadership settings. Global Leadership Practices is an excellent source of teaching materials and tools targeted to these learners.

I had one big question after taking on this review: How relevant is this book with the advent of large language models (LLMs)? In the past two years, the launches of OpenAI’s GPT and Google’s Gemma, amongst others, have severely disrupted the study of natural language

The Philippines is pursuing a partnership with Norway to unlock the potential of natural gas in sectors beyond power generation, including logistics and aviation.

A combination of images showing illustratons depicting different angles of the upcoming Muraba Veil skyscraper in Dubai, United Arab Emirates. — Instagram/@cnnstyle/@hypebeast

Dubai boasts one of the world's most iconic skylines, featuring stunning architecture and...

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UCLA will play Baylor and Texas will face Maryland in a women's basketball doubleheader in the inaugural Coretta Scott King Classic in January.

For the first time, a composite map of the world’s ecosystem assets has been produced, covering both marine and terrestrial realms. A report for the UNEP Division of Early Warning and Assessment by UNEP-WCMC presents global maps of assets such as biodiversity, freshwater resources and soil quality.

Natural capital is fundamental to human well-being. According to the Convention on Biological Diversity, at least 40 per cent of the world’s economy and 80 per cent of the needs of the poor are derived from biological resources. We are now facing a problem where natural capital has been harvested and degraded at a rate that threatens to undermine our well-being and future economic growth.

In their latest report UNEP-WCMC have combined information about key ecosystem assets into global maps covering terrestrial and marine realms. The assets included are freshwater resources, soil quality, organic carbon, terrestrial and marine biodiversity, and global fish catch (as a proxy for marine fish stocks). The report builds on a considerable body of work in the fields of natural capital accounting and the mapping of ecosystem services.

To read more and download the full report, please follow the link: http://www.unep-wcmc.org/news/towards-a-global-map-of-natural-capital

A new research paper Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives published in the journal Ecological Indicators looks at the ways in which earth observation (EO) techniques may provide a solution to overcome shortcomings in biodiversity monitoring by measuring entities of interest at different spatial and temporal scales. 

Abstract: 

Impacts of human civilization on ecosystems threaten global biodiversity. In a changing environment, traditional in situ approaches to biodiversity monitoring have made significant steps forward to quantify and evaluate BD at many scales but still, these methods are limited to comparatively small areas. Earth observation (EO) techniques may provide a solution to overcome this shortcoming by measuring entities of interest at different spatial and temporal scales.

This paper provides a comprehensive overview of the role of EO to detect, describe, explain, predict and assess biodiversity. Here, we focus on three main aspects related to biodiversity taxonomic diversity, functional diversity and structural diversity, which integrate different levels of organization molecular, genetic, individual, species, populations, communities, biomes, ecosystems and landscapes. In particular, we discuss the recording of taxonomic elements of biodiversity through the identification of animal and plant species. We highlight the importance of the spectral traits (ST) and spectral trait variations (STV) concept for EO-based biodiversity research.

Furthermore we provide examples of spectral traits/spectral trait variations used in EO applications for quantifying taxonomic diversity, functional diversity andstructural diversity. We discuss the use of EO to monitor biodiversity and habitat quality using differ-ent remote-sensing techniques. Finally, we suggest specifically important steps for a better integrationof EO in biodiversity research.EO methods represent an affordable, repeatable and comparable method for measuring, describing,explaining and modelling taxonomic, functional and structural diversity. Upcoming sensor developmentswill provide opportunities to quantify spectral traits, currently not detectable with EO, and will surelyhelp to describe biodiversity in more detail. Therefore, new concepts are needed to tightly integrate EOsensor networks with the identification of biodiversity. This will mean taking completely new directionsin the future to link complex, large data, different approaches and models.

Original reseach:

A. Lausch, L. Bannehr, M. Beckmann, C. Boehm, H. Feilhauer, J.M. Hacker, M. Heurich, A. Jung, R. Klenke, C. Neumann, M. Pause, D. Rocchini, M.E. Schaepman, S. Schmidtlein, K. Schulz, P. Selsam, J. Settele, A.K. Skidmore, A.F. Cord, Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives, Ecological Indicators, Volume 70, November 2016, Pages 317-339, ISSN 1470-160X, http://dx.doi.org/10.1016/j.ecolind.2016.06.022