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The aim of the article was to compare the learning outcomes of the same content in the form of a traditional analogue lesson and in the form of a virtual reality (VR) lesson with the use of head-mounted display (HMD).

The study included one biology lesson conducted in 4 groups of a dozen people and one biology lesson in VR carried out individually on 75 people. The respondents completed the knowledge test, a questionnaire before and after the class regarding the attitude to new technologies, and feelings after the lesson. The researchers used detailed observation sheets (subjects' behaviour and the dynamics of the lesson). The obtained results were analysed statistically through lesson type (traditional/VR), respondent type (technology enthusiast/non-enthusiast) and question type. The Mann–Whitney U test, t-student and chi-squared (?²) test were used.

The average of the overall results in the knowledge test was similar in both groups (16 points; ±SD 2.13), slightly better for the analogue group and for the non-enthusiast group. It was found that VR hinders the acquisition of knowledge by tech enthusiasts, who perceive it primarily in the play paradigm. However, it encourages the learning of technology sceptics, who quickly discover a passion for exploring the virtual world. It was clearly indicated, quantitatively and qualitatively, how the technology modalities directly influenced the learning outcomes.

The article offers fresh insights into how students' perceptions of the educational process can be transformed through the integration of VR. The compelling findings and nuanced analysis provide a robust foundation for exploring new frontiers in educational technology.

There is evidence that both hypnotherapy and virtual reality (VR) can be helpful in reducing perceived stress in the general population. This is a feasibility and acceptability trial of an intervention combining hypnotherapy and VR to establish its acceptability in students. This study aims to establish whether students found the experience acceptable, described any adverse effects and whether they reported feeling calmer after the experience.

The study was testing the hypothesis that students would attend the sessions and find the experience acceptable. A secondary hypothesis was that preliminary qualitative and quantitative evaluation of measures of stress and wellbeing would signal potential improvements.

All participants completed all three sessions. No side effects were reported. Visual analogue scales recorded each day assessing the immediate effect improved. At the end of the intervention, there was an increase in wellbeing of 2.40 (95% CI: 1.33, 3.53, p = 0.006), and a decrease in depression of 0.73 (95% CI: 0.40, 1.07, p = 0.010), reflecting large effect sizes of 0.76 and 0.83, respectively. Qualitative feedback was generally very positive.

This study is small with just 15 students and was over a short period of time. The recruitment method meant there was no way to establish whether the volunteer students were representative of the general student population in terms of mental wellbeing. There was no control arm.

The preliminary results suggest that a larger controlled trial is justified.

This VR experience may have benefit to university students and to the wider population.

This described the evaluation of a novel intervention for perceived stress combining hypnotherapy and virtual reality in a group of healthcare students, with promising results suggesting further evaluation is needed.

Large-scale and complex issues tend to require a system of interconnected teams (i.e., multiteam systems) that offer more manpower, resources, and flexibility to meet more challenging demands. However, multiteam systems often work within “extreme environments” that can be very stressful, and the impact of this stress can deplete team members’ Well-Being and hinder team performance. Current research on multiteam systems does not address the need to understand how environmental stressors may impact component teams and overall team functioning and how multiteam systems in these environments can regulate stress to overcome these problems. NASA’s spaceflight multiteam system provides a unique example that organizational researchers can look at to understand how the Mission Control team helps regulate stress in the spaceflight team operating within an isolated, confined, and extreme environment. This chapter articulates how NASA’s spaceflight multiteam system stress regulation practices can inform organizational psychologists and advance our understanding of multiteam system functioning.

Gillette’s historically successful “razor and blade” business model (RBM) has been a promising benchmark for multiple businesses across diverse industries worldwide in the past several decades. The extant literature deals with very few nuances of this business model notwithstanding the fact that there are several variants of this business model being put to practical use by firms in diverse industries in grossly metaphorically equivalent situations.

This study adopts the 2 × 2 truth table framework from the domains of mathematical logic and combinatorics in fleshing out all possible (four logical possibilities) variants of the razor and blade business model for further analysis. This application presents four mutually exclusive yet collectively exhaustive possibilities on any chosen dimension. Two major dimensions (viz., provision of subsidy and intra- or extra-firm involvement in the making of razors or blades or both) form part of the discussion in this paper. In addition, this study synthesizes and streamlines entrepreneurial wisdom from multiple intra-industry and inter-industry benchmarks in terms of real-time firms explicitly or implicitly adopting several variants of the RBM that suit their unique context and idiosyncratic trajectory of evolution in situations that are grossly reflective of the metaphorically equivalent scenario of razor and recurrent blades. Inductive method of research is carried out with real-time cases from diverse industries with a pivotally common pattern of razor and blade model in some form or the other.

Several new variants of the razor and blade model (much beyond what the extant literature explicitly projects) have been discovered from the multiple metaphorically equivalent cases of RBM across industries. All of these expand the portfolio of options that relevant entrepreneurial firms can explore and exploit the best possible option chosen from them, given their unique context and idiosyncratic trajectory of growth.

This study has enriched the literature by presenting and analyzing a more inclusive or perhaps comprehensive palette of explicit choices in the form of several variants of the RBM for the relevant entrepreneurial firms to choose from. Future research can undertake the task of comparing these variants of RBM with those of upcoming servitization business models such as guaranteed availability, subscription and performance-based contracting and exploring the prospects of diverse combinations.

Smart entrepreneurial firms identify and adopt inspiring benchmarks (like razor and blade model whenever appropriate) duly tweaked and blended into a gestalt benchmark for optimal profits and attractive market shares. They target diverse market segments for tied-goods with different variants or combinations of the relevant benchmarks in the form of variegated customer value propositions (CVPs) that have unique and enticing appeal to the respective market segments.

Value-sensitive customers on the rise globally choose the option that best suits them from among multiple alternatives offered by competing firms in the market. As long as the ratio of utility to price of such an offer is among the highest, even a no-frills CVP may be most appealing to one market segment while a plush CVP may be tempting to yet another market segment simultaneously. While professional business firms embrace resource leverage practices consciously, amateur customers do so subconsciously. Each party subliminally desires to have the maximum bang-to-buck ratio as the optimal return on investment, given their priorities ceteris paribus.

Prior studies on the RBM have explicitly captured only a few variants of the razor and blade model. This study is perhaps the first of its kind that ferrets out many other variants (more than ten) of the razor and blade model with due simplification and exemplification, justification and demystification.

Financial technologies form the heart of considerable disruptive innovation. Fintech is the emerging financial infrastructure for modern business. Big data are the feedstock for artificial intelligence (AI) that drives many fintech sectors – start-up finance, commodities and investment instrumentation, payment systems, currencies, exchange markets/trading platforms, market-failure response forensics, underwriting, syndication, risk assessment, advisory services, banking, financial intermediaries, transaction settlement, corporate disclosure, and decentralized finance. This chapter demonstrates how analyzing big data, largely processed through cloud computing, drives fintech innovations, scholarship, forensics, and public policy. Despite their apparent virtues, some fintech mechanisms can externalize various social costs: flawed designs, opacity/obscurity, social media (SM) influences, cyber(in)security, and other malfunctions. Fintech suffers regulatory lag, the delay following the introduction of novel fintechs and later assessment, development, and deployment of reliable regulatory mechanisms. Big data can improve fintech practices by balancing three key influences: (1) fintech incentives, (2) market failure forensics, and (3) developing balanced public policy resolutions to fintech challenges.

The paper is devoted to modeling a pricing policy of competitive firms in a “closed” economy framework.

The proposed model can be regarded as an analog to CGE model and is based on the intersectoral balance methodology incorporating linear demand functions for goods and services.

By performing different model experiments, we show that a certain degree of competition can bring more profit to all competing firms, than in case of complete absence of such competition, what is also supported by empirical investigation. This finding implies that monopolies may perform worse than competitive firms, what contradicts with the modern provisions of economic theory, stating that monopoly is the most lucrative type of market structure for a producer. The discovered effect occurs due to the aggressive pricing policy, adopted by monopolies, spurring up the inflation spiral, which is most obvious if monopolies are strongly interdependent in terms of production matrix. This inflation spiral drives prices too high, what negatively reflects on firms’ costs and, consequently, results in monopolies receiving less profit.

The proposed model can also be useful for understanding and assessing various economic consequences after different external or internal shocks, what is especially crucial when conducting monetary or fiscal policy.

Algorithmic and computational thinking are necessary skills for designers in an increasingly digital world. Parametric design, a method to construct designs based on algorithmic logic and rules, has become widely used in architecture practice and incorporated in the curricula of architecture schools. However, there are few studies proposing strategies for teaching parametric design into architecture students, tackling software literacy while promoting the development of algorithmic thinking.

A descriptive study and a prescriptive study are conducted. The descriptive study reviews the literature on parametric design education. The prescriptive study is centered on proposing the incomplete recipe as instructional material and a new approach to teaching parametric design.

The literature on parametric design education has mostly focused on curricular discussions, descriptions of case studies or studio-long approaches; day-to-day instructional methods, however, are rarely discussed. A pedagogical strategy to teach parametric design is introduced: the incomplete recipe. The instructional method proposed provides students with incomplete recipes for parametric scripts that are increasingly pared down as the students become expert users.

The article contributes to the existing literature by proposing the incomplete recipe as a strategy for teaching parametric design. The recipe as a pedagogical tool provides a means for both software skill acquisition and the development of algorithmic thinking.

The pivotal aspect of aircraft assembly lies in precise measurement accuracy. While a solitary digital measuring tool suffices for analytical and small surfaces, it falls short for extensive synthetic surfaces like aircraft fuselage panels and wing spars. The purpose of this study is to develop a “combined measurement method” (CMM) that enhances measurement quality and expands the evaluative scope, addressing the limitations posed by singular digital devices in meeting measurement requirements across various aircraft components.

The study illustrated the utilization of the CMM by combining a laser tracker and a portable arm-measuring machine. This innovative approach is tailored to address the intricate nature and substantial dimensions of aircraft fuselage panels. The portable arm-measuring machine performs precise scans of panel components, while common points recorded by the laser tracker undergo coordinate conversion to reconstruct the fuselage panel’s shape. The research outlines the CMM’s measurement procedure and scrutinizes the data processing technique. Ultimately, the investigation yields a deviation vector matrix and chromatogram deviation distribution, pivotal in achieving enhanced measurement precision for the novel CMM device.

The use of CMM noticeably enhances fuselage panel assembly accuracy, concurrently reducing assembly time and enhancing efficiency compared to conventional measurement systems.

The research’s practical implication lies in revolutionizing aircraft assembly by mitigating accuracy issues through the innovative digital CMM for aircraft synthetic structure type product (aircraft fuselage panel). This ensures safer flights, reduces rework and enhances overall efficiency in the aerospace industry.

Introducing a new aircraft assembly accuracy compensation method through digital combined measurement, pioneering improved assembly precision. Also, it enhances aerospace assembly quality, safety and efficiency, offering innovative insights for optimized aviation manufacturing processes.

This paper aims to unravel how family businesses can harness the power of gamification and to illuminate the hurdles that obstruct this path to success. The research identifies these challenges providing valuable insights into the application of gamification in family businesses and the role of supervision and engagement as moderator variables in this relationship.

Using a structural modeling approach in a qualitative research methodology, the authors collected responses from n = 200 participants. The results were analyzed using Spearman’s test and multiple linear regression.

The research findings reveal that family businesses need to carefully redefine costs when introducing gamification, considering both fixed and variable expenses. The moderating effects of supervision are crucial for user evolution and the correlation, while user engagement influences user and useability experience. Additionally, a positive attitude enhances engagement. Finally, the five key challenges lead to difficulties when implementing gamification strategies.

This research provides valuable insights for the literature on gamification and family business and offers practical guidance for family business owners seeking to introduce a tailored value proposition adapted to their unique organizational needs and challenges.

A novel approach is proposed which, through the integration of gamification strategies with family business dynamics, explores the unique challenges and opportunities that arise within this context. By focusing specifically on family businesses, this study highlights how generational differences, ownership structures and cultural resistance can impact the successful implementation of gamification.

Distance has been a core concept and issue in international business and management research. While scholars argue that distance through internationalization is increasing costs, distance is also associated with positive implications such as the integration of more diverse knowledge. Still, many firms struggle to manage distance effectively and efficiently in their multinational contexts. The purpose of this study therefore is to propose Open Strategy – increasing transparency and inclusion in the strategy process – as an attractive concept for managing distance.

This is a conceptual paper where the authors introduce Open Strategy to the IB community.

The authors argue that opening the strategy of multinational enterprises, enables firms to leverage diversity by re-combining the firms diverse and distant knowledge. It also reduces distance by moving beyond formal mechanisms of control and coordination to improve joint understanding, cooperative commitment and strategy implementation. The framework shows how firms can move beyond established dogmas in international business research by rendering their strategy processes more open.

Leveraging the Open Strategy literature, the authors are able to find a way to respond to the challenge of increasing distance, in fact even arguing that distance can be beneficial if framed as diversity.