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This chapter focuses on techniques and technologies to aid groups in making decisions, with an emphasis on computer-based support. Many office workers regularly meet colleagues and clients in virtual meetings using videoconferencing platforms, which enable participants to carry out tasks in a manner similar to a face-to-face meeting. The development of computer-based platforms to facilitate group tasks can be traced back to the 1960s, and while they support group communication, they do not directly support group decision making. In this chapter we distinguish four technologies developed to provide support to group decisions, clustered into two main traditions. Technologies in the task-oriented tradition are mainly concerned with enabling participants to complete tasks to solve the group's decision problem via computer-supported communications. Group Decision Support Systems and social software technologies comprise the task-oriented tradition. Alternately, in the model-driven tradition, participants use computers to build and use a model that acts as a referent to communicate, mostly verbally, about the group's decision problem. System modeling and decision-modeling technologies constitute the model-driven tradition. This chapter sketches the history and guiding ideas of both traditions, and describes their associated technologies. The chapter concludes with questioning if increased availability of online tools will lead to increased use of group decision support technologies, and the differential impact of communication support versus decision support.

Indigenous peoples represent one of the most vulnerable groups and need access as well as hands-on experience in the use of emerging Earth observations (EO)-based DRR solutions at the community level, while balancing this learning with traditional indigenous knowledge (IK). However, complicating any engagement between EO and IK is the reality that IKs are diverse and dynamic, with location-specific relevance and accuracy. Additionally, the COVID-19 pandemic caused complex risks and cascading effects for which the world was not prepared. Thus, there is a need to examine the lessons learned and motivate emerging EO-based innovations and demonstrations related to DRR and climate change adaptation.

Hence, this study aims to undertake an in-depth assessment of IK related to DRR covering relevant UN instruments and provides state-of-the-art of opportunities presented by EO-based tools and solutions.

The overall research strategy was designed to integrate key components of IK for DRR in a coherent and logical way, with those offered by the EO technology developers and providers. There are several EO tools accessible that are relevant to integrate IK and complement DRR. The study examined and identified challenges and barriers to implement workable and replicable EO solutions in pursuit of resilience.

The key findings of this study will help create a balanced approach by acknowledging the importance of IK for DRR with co-development, co-creation and use of culturally relevant EO data and tools for sustainable innovation, capacity building and youth empowerment. The technological inequalities appear to be growing, and it would be challenging to meet the Sendai Framework indicators.

While women perform as well as their male counterparts at work, women are drastically underrepresented in the onboarding process to senior leadership. The link between occupational self-efficacy and the role it may play in how men and women make decisions about work has not been done. The purpose of this study is to examine potential differences of occupational self-efficacy, career aspirations and work engagement between women and men.

Online surveys were created and sent out as emails and on social network sites including Facebook, Twitter and LinkedIn.

Findings indicate that occupational self-efficacy has positive effect on career aspirations of women in the workplace. Further, there was no statistically significant difference between occupational self-efficacy and work engagement between men and women. However, men were found to have statistically significantly higher career aspirations than women do.

While men and women do not differ in occupational self-efficacy or work engagement, men do have higher career aspirations than women do. Although women may believe they can accomplish challenging tasks in the workplace, it does not mean this belief is acted upon.

The study highlights the importance of occupational self-efficacy and its relation to career aspirations. Individuals who are high in occupational self-efficacy may set their own path in advancing within their career. However, individuals who are low or moderate in occupational self-efficacy may require further encouragement and development using additional resources as a catalyst for advancement guidance. While no differences were found between men and women in occupational self-efficacy, human resource practitioners should develop those individuals who are low or moderate in occupational self-efficacy with coaching, training and/or mentoring to build leadership capacity, increase self-efficacy and career-planning acumen.

Men and women behave differently when seeking career advancement and in their career aspirations. For men, advancement is linked to performance whereas women use a multi-pronged approach focusing on preparing for career success and building role competency. Differences in strategy for advancement mean men will actively engage in behaviors to advance even when they do not have the knowledge or experience to perform in the new role. Conversely, women seek to feel competent in a work role prior to seeking it out. Finding ways to mentor women toward higher self-efficacy for their next career advancement will benefit organizations overall.

Research examining the role of occupational self-efficacy and its relation to career aspirations does not exist in comparing men and women.

This paper aims to raise awareness on current shifting of R&D activities from agricultural-based Agriculture and agriculture-related Natural Sciences (ANS) to industrial-based Engineering, Computer, and Industry-related Sciences (ECI) in Southeast Asian (SEA) economies. This trend might cause stiffer challenges on effort to sustain food security in the region.

Five SEA countries were selected, namely, Indonesia, Malaysia, the Philippines, Thailand and Vietnam. R&D data were collected over the years 2001-2014. Collected data were analysed using descriptive statistics and correlation.

Malaysia has been in the process of shifting from ANS to ECI cluster, whereas Vietnam and Indonesia followed the trend but about a decade behind; meanwhile, the Philippines and Thailand kept their focus on ANS clusters. Within the ANS cluster, Malaysia and Thailand leaned towards Modern Biosciences and Modelling (MBM) sub-clusters. The Philippines, Vietnam and Indonesia were more focused on Agriculture and Conventional Biosciences (ACB) sub-cluster. ACB is more relevant and affordable to smallholder farmers. Shifting of R&D priority correlated with GDP per capita of SEA countries. Within ANS cluster, R&D activity in MBM increased but ACB decreased as GDP per capita increased.

Data used in this study were limited to accessible 2001-2014 data in five selected SEA economies. Therefore, there is an open possibility for future research on extended timeline using more sophisticated data analysis.

Agricultural technology development should be relevant to needs of and affordable to smallholder farmers, as they are the primary food producers in developing economies.

If the R&D activities continue to drift away from farmer’s needs, there will be a possible drawback of widening gap between developed agricultural technologies and absorptive capacity of smallholder farmers. Government institutions should revisit their R&D priority as the current trend could cause a serious obstacle in maintaining food security in the SEA region.

This frontier study provides an early warning for government in SEA economies and other developing countries for balancing between R&D for supporting smallholder farmers in food production and for enhancing national economic growth.

In 2020, the education system was preliminary halted by the COVID-19 crisis and went through radical improvisation, and online-based distance learning was the only plausible initiative to continue educational activities ensuring health guidelines properly. However, in reality, such desperate measure in case of a lower-middle-income developing nation lacking proper structural capabilities raised some issues and concerns for both pupils and mentors, and this study aims to explore the practice of online-based distance learning in private universities of Bangladesh and the challenges associated with it.

This exploratory research is qualitative in nature. A total number of 89 undergraduate level university students from different private universities were divided into two main clusters and interviewed in depth.

The findings of this paper revealed that common developing country syndromes like improper technological infrastructure development, limitation to devices or internet accessibility and financial hindrances can disrupt the harmony of the online learning experience. Also, the lack of tech literacy has created a huge tension and psychological inertia among both the teachers and the students.

The coronavirus pandemic event, with its dreadful influence, is creating immense mental pressures for students to cope well with the online learning system. Comprehending the underlying challenges affiliated with online-based distance learning and enabling faculties or respected personnel with training and development programs to handle impediments better way, this learning initiative can ensure the best outcomes.

The significance of this study lies in comprehending the feasibility of online-based education regarding lower-middle-income developing nation context and the realism of such learning process's acceptability considering its actual effectiveness.

In this chapter we investigate the role of family-specific factors in facilitating or constraining business exit in family firms. Family business literature seems to have an implicit bias toward continuity and persistence in the founder's business. This is explained by heavy emotional involvement and development of path-dependent core competences over generations. However, several long-lived family firms were able to successfully exit the founder's business. Exit allowed them to free significant strategic resources, which were later reinvested in exploiting novel entrepreneurial opportunities. Our aim is to investigate the process of exit from the founder's business in family firms, to explain both triggers and obstacles to decommitment and de-escalation. We address this issue through the study of the Italian Falck Group's exit from the steel industry in the 1990s, followed by successful startup of a renewable energy business. By carefully triangulating different data sources and different voices within and outside the controlling family, we develop a framework describing family-specific facilitators and inhibitors of business exit, and subsequent startup of a new business. Three types of family-specific factors emerge as relevant in shaping a family firm's likelihood and speed of exit from a failing business: family-related psychological triggers and obstacles to business exit; family-specific components of the structural de-escalation context; family responses to ensuing de-escalation and exit needs. The emerging framework offers a more nuanced interpretation of decommitment activities in family firms, pointing to the differential role family-specific factors may play as facilitators or inhibitors of business exit. We also suggest how these family-specific results may contribute to a deeper understanding of exit in nonfamily firms. Our results also have practical implications for family business entrepreneurial management. Actively managing the different determinants of exit choices that emerged from our study will set the stage for de-escalation from a failing course of action – a dynamic capability all family firms should learn and practice if they intend to transfer their entrepreneurial orientation to next generations.

Investigates the differences in protocols between arbitral tribunals and courts, with particular emphasis on US, Greek and English law. Gives examples of each country and its way of using the law in specific circumstances, and shows the variations therein. Sums up that arbitration is much the better way to gok as it avoids delays and expenses, plus the vexation/frustration of normal litigation. Concludes that the US and Greek constitutions and common law tradition in England appear to allow involved parties to choose their own judge, who can thus be an arbitrator. Discusses e‐commerce and speculates on this for the future.

The COVID-19 pandemic emphasises the need for antiviral materials that can reduce airborne and surface-based virus transmission. This study aims to propose the use of additive manufacturing (AM) and surrogate modelling for the rapid development and deployment of novel copper-tungsten-silver (Cu-W-Ag) microporous architecture that shows strong antiviral behaviour against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

The research combines selective laser melting (SLM), in-situ alloying and surrogate modelling to conceive the antiviral Cu-W-Ag architecture. The approach is shown to be suitable for redistributed manufacturing by representing the pore morphology through a surrogate model that parametrically manipulates the SLM process parameters: hatch distance (h_d), scan speed (S_s) and laser power (L_p). The method drastically simplifies the three-dimensional (3D) printing of microporous materials by requiring only global geometrical dimensions solving current bottlenecks associated with high computed aided design data transfer required for the AM of porous materials.

The surrogate model developed in this study achieved an optimum parametric combination that resulted in microporous Cu-W-Ag with average pore sizes of 80 µm. Subsequent antiviral evaluation of the optimum architecture showed 100% viral inactivation within 5 h against a biosafe enveloped ribonucleic acid viral model of SARS-CoV-2.

The Cu-W-Ag architecture is suitable for redistributed manufacturing and can help reduce surface contamination of SARS-CoV-2. Nevertheless, further optimisation may improve the virus inactivation time.

The study was extended to demonstrate an open-source 3D printed Cu-W-Ag antiviral mask filter prototype.

The evolving nature of the COVID-19 pandemic brings new and unpredictable challenges where redistributed manufacturing of 3D printed antiviral materials can achieve rapid solutions.

The papers present for the first time a methodology to digitally conceive and print-on-demand a novel Cu-W-Ag alloy that shows high antiviral behaviour against SARS-CoV-2.

Constant change in current market and social conditions has triggered the demand for a more adaptable building stock. The capacity to assume and accommodate change has thus become a new requirement for buildings. At the same time, there is a growing demand for more environmentally conscious buildings. New protocols, building codes, and certification systems are becoming stricter regarding buildings’ CO2 emissions, energy efficiency, and other environmental aspects. The current building industry fails to satisfy these two demands; conventional buildings rarely enable change, unless undergoing complex renovations, and rarely consider environmental features beyond mandatory legislation. In this context, this paper proposes Modular Ecotechnological Architecture as a response to both demands. The basis is an integrated design that looks at energy, water, and materials’ efficiency altogether, combined with a modular industrialized building system. The system allows buildings to grow or reduce in size according to their needs, with little impact for their inhabitants, enabling versatility for a variety of uses within the same space and over time. This paper presents the concept of this new building system together with the technical, building code-related, and economic challenges encountered throughout recent experimental projects.

The integration between the traditional lean management and Industry 4.0, namely called Lean 4.0, is under the spotlight of both academia and practitioners. While we agree on the benefits Lean 4.0 may bring to companies performance, we still lack a deep understanding of the characteristics of this paradigm, such as its effective application space. Recalling traditional lean better suits repetitive companies, we are keen to understand whether the anew Lean 4.0 will enlarge its application space.

We performed an exploratory study, using a quantitative analysis based on Bayesian network approach to investigate whether Lean 4.0 results to be as effective in repetitive companies as in non-repetitive ones, in terms of operational performance.

While our findings confirm that Lean 4.0 will enhance companies' performance regardless their production strategies, companies adopting a repetitive strategy do benefit from a much higher improvement. Our findings provide an insight on the true applicability space of Lean 4.0, which seems to be the same as the traditional lean.

We contribute to the ongoing debate of Lean 4.0 providing initial empirical evidence on how to improve the operational performance in non-repetitive companies, seeing that Lean 4.0 might not be the best choice in its current format.