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Based on theories related to coopetition, the purpose of this paper is to examine the patterns of business-to-business digital referrals inscribed in businesses’ digital content.

A complete industry-wise digital data set is formed by extracting digital referrals in all the content pages. The authors outline how digital referrals are strategically used among peer businesses in the peer-to-peer digital network and in the augmented digital network, taking into consideration geographical framing and physical distance.

The authors reveal how geographical framing and physical distance influence peer-to-peer referral patterns in the digital space. Quite counter-intuitively, businesses are more likely to give digital referrals for peers residing in the same region, as well as for peers located in closer proximity. Further, results from the augmented digital network show that peer businesses in closer proximity exhibit greater strategic similarity in their digital referring strategy.

The findings extend the understanding of business-to-business coopetition to the digital space and suggest that geographical framing and physical distance can induce reciprocated relationships between peers by offering each other digital referrals.

The findings shed light on the formation of a business-to-business digital coopetition strategy using digital referral marketing.

This study highlights the impact of digital referrals in business-to-business relationship management, especially in the digital coopetition context.

Industry 4.0 is a promising concept that allows industries to meet customers’ demands with flexible and resilient processes, and highly personalised products. This concept is made up of different dimensions. For a long time, innovative digital technology has been thought of as the only dimension to succeed in digital transformation projects. Other dimensions have been identified such as organisation, strategy, and human resources as key while rolling out digital technology in factories. From these findings, researchers have designed industry 4.0 theoretical models and then built readiness models that allow for analysing the gap between the company initial situation and the theoretical model. Nevertheless, this purely deductive approach does not take into consideration a company’s background and context, and eventually favours one single digital transformation model. This article aims at analysing four actual digital transformation projects and demonstrating that the digital transformation’s success or failure depends on the combination of two variables related to a company’s background and context. This research is based on a double approach: deductive and inductive. First, a literature review has been carried out to define industry 4.0 concept and its main dimensions and digital transformation success factors, as well as barriers, have been investigated. Second, a qualitative survey has been designed to study in-depth four actual industry digital transformation projects, their genesis as well as their execution, to analyse the key variables in succeeding or failing. 46 semi-structured interviews were carried out with projects’ members; interviews have been analysed with thematic content analysis. Then, each digital transformation project has been modelled regarding the key variables and analysed with regards to succeeding or failing. Investigated projects have consolidated the models of digital transformation. Finally, nine digital transformation types have been identified.

This study aims to explore how the COVID-19 pandemic has impacted parents of autistic children and their families in Ireland.

A qualitative thematic analysis methodology was applied using semi-structured interviews. A total of 12 parents (ten mothers, one father and one grandfather speaking on behalf of a mother) of autistic children were asked how the COVID-19 pandemic impacted them and their autistic child with a particular focus on how it has impacted their access to respite care. Interviews were completed remotely from July 2021 to October 2021.

Data analysis identified four themes that reflect an adverse pandemic impact. These were: world gone; alone and isolated; constantly fighting for help; and negative and positive impact of COVID-19 on child and family. Two parents reported positive outcomes of the pandemic such as social distance requirements. Five parents (42%) reported an increase in the amount of respite received. Three parents (25%) reported a decrease and four (33%) parents reported no change in their access to respite.

COVID-19 has turned a spotlight on mental health for politicians, policymakers and the public and provides an opportunity to make mental health a higher public health priority for autistic children and their families.

This study highlights the need for access to respite for autistic children and for respite services to be responsive to the ongoing needs, in particular, the mental health needs of autistic children and their family, particularly in a crisis situation.

This paper explores the potential that block teaching offers to enhance employability in the context of large-scale classes. It suggests that block teaching, with its condensed structure, necessitates curriculum innovation, fosters participatory learning and peer-to-peer networking, and has been shown to increase student focus and enhance engagement and attainment, especially amongst diverse learners. As these are the same challenges that large-scale teaching faces, it is proposed that intensive modes of delivery could be scaled up in a way that may help to mitigate such problems as cohorts in business schools continue to increase in size.

The paper is based on secondary research and provides an overview of literature that looks at block teaching, followed by that which explores the challenges of large-scale teaching contexts. It compares and contrasts the gaps in both to suggest a way that they could be combined.

The paper provides key insights into changes in the contemporary landscape of teaching within UK business schools, which have seen increasingly large cohorts and draws out the key strengths of intensive modes of delivery, which include helping students to time manage effectively, encouraging curriculum innovation and the creation of participatory learning opportunities as well as providing closer personal relationships between students and staff. Outlining some of the well-documented issues that can arise when teaching larger cohorts, the paper suggests that scaling up blocked delivery may offer a new way help to overcome them.

Because of the chosen research approach, the research results are subject to generalisation. Therefore, researchers are encouraged to test the proposed propositions in large-scale teaching scenarios.

This paper includes implications for the development of innovative modes of teaching in the context of large cohorts, an experience that is increasingly common amongst British business schools and beyond.

This paper brings together two bodies of literature for the first time – that of intensive modes of teaching and that focuses on large-scale teaching contexts – for the first time to show how the former may help to overcome some of the key issues arising in the latter.

The purpose of this paper is to report the design and evaluation of an inter-university collaborative project entitled “Blended learning for building student-teachers’ capacity to learn and teach science-related interdisciplinary subjects.” The project is a response of the science education faculty of three Hong Kong tertiary institutes to the challenge of catering to the diversity of academic backgrounds among student-teachers.

E-learning modules have been produced covering four content domains of science. These modules are designed based on the 5E learning model and are delivered to students using the learning management system provided by Moodle. The design of the modules is iterative, based on the evaluation of three consecutive rounds of trials through student surveys, and focus group interviews with students and course lecturers.

The evaluation findings indicate positive outcomes for certain attributes such as conceptual understanding, eagerness and confidence in learning science, and metacognitive reflection on students’ own learning. There are challenges to be met in relation to instructional design to cater for the diversity of student abilities, and enhance motivation in self-directed learning.

The project indicates the ways to develop students’ basic science knowledge in a mixed-ability setting through the design of self-directed e-learning modules blended with their major courses and possible measures to address the limitations of such design.

The study represents a conscious effort for the science teacher education faculty of different universities to pull together to tackle a perennial teaching and learning problem. The findings provide important insights into possible ways to blend e-learning with face-to-face learning approaches to better cater to the needs of science learners with mixed abilities to prepare them for interdisciplinary teaching.

Technology-facilitated violence and abuse is a truly global problem. As the diverse perspectives and experiences featured in this book have shown, the deep entanglement between technologies, inequality, marginalization, abuse, and violence require multi-faceted and collaborative responses that exist within and beyond the law. When this chapter was written, society was (and continues to be) facing an unprecedented challenge in COVID-19 – a global pandemic. At the same time, a renewed focus on racist police and civilian violence has occurred following the killings of George Floyd, Ahmaud Arbery, and Breonna Taylor in the United States. As we describe in this chapter, these two major moments are ongoing reminders of the profound social inequalities within our global communities, which are grounded in systemically discriminatory oppressions and their intersections. This chapter draws together some thoughts on technology-facilitated violence and abuse in an era of COVID-19 and antiracist protest. It explores these within the context of the book as a whole, highlighting the importance for improved understanding of, and responses to, technology-facilitated violence and abuse as part of a broader push for social justice.

Based on the importance of E-accounting, the purpose of this study is to investigate the determinants influencing information technology and E-accounting among small and medium-sized enterprises (SMEs).

A survey method was used to select the sample among SMEs in Oman. Using descriptive statistics, the impact of the determinants on E-accounting practices in SMEs in Oman were tested.

The findings reveal that except information technology (IT) cost, all other possible determinants (IT risk, employee IT skills and employee theoretical knowledge) has a significant influence on E-accounting practice among SMEs.

The link between variables of this study was not analyzed in Oman. Moreover, this study only concentrated on the impact of the fourth determinants, while in reality, there must be other determinants that should also be investigated by other researchers.

This study has added to the literature by examining the E-accounting practices while evaluating the effect of IT determinants on the relationship. Besides, this might add benefits to many SMEs relating to their current accounting practice that might lead to adopting E-accounting practice to ensure application of applicable accounting standards to show fair financial statements to its stakeholders.

This current study is one of the first works in the context of Oman. It has added a new discussion to the body of knowledge in light of the IT determinants and their relationship with E-accounting practices; hence, an approach that is not widely discussed in the literature. Furthermore, conducting such research in the field of accounting provides new insight into the literature among both emerging and developed economies including Oman.

The purpose of studying the impact of crude oil and natural gas prices on the Vietnamese stock market is to understand the relationship between energy prices and the overall performance of the financial markets. As Vietnam is an energy-dependent country, fluctuations in crude oil and natural gas prices can significantly affect various industries, including manufacturing, inflation, transportation, energy production and economic growth. These sectors are often sensitive to changes in energy costs, which can lead to shifts in corporate profitability and investor sentiment. By analyzing how crude oil and natural gas prices influence the Vietnamese stock market, policymakers and investors can provide deeper insights into the economic risks and opportunities related to energy price volatility. This paper can also provide valuable information for decision-making in sectors such as economic forecasting, risk management and investment strategies.

Using monthly data from January 2006 to March 2024, data were collected from the Vietnamese stock market and the OPEC organization for oil prices, while data on natural gas were obtained from the EIA. The data were analyzed using vector error correction (VEC) model, impulse response function, variance decomposition test and asymmetric reactions method; the study tries to ascertain the short-term and long-term dynamic relationships between the shocks of the crude oil price and natural gas prices and their effects on the movement of the stock price. In addition, the GARCH model is applied to measure the volatility of crude oil and natural gas prices.

Crude oil price shocks have a statistically significant impact on most Vietnamese real stock market indices, except for the utility and consumer indices and some energy companies. Conversely, natural gas price shocks do not significantly affect on Vietnamese stock market indices, except for the energy index and some energy companies. Some “important” of both crude oil price and natural gas price shocks tend to depress the stock returns of energy companies. An increase in both crude oil and natural gas volatility can lead to heightened speculation in certain indices, particularly the energy and industrial indices, as well as in some energy companies. This heightened speculation often results in elevated of their stock returns.

This study provides valuable insights into the field of study examining how fluctuations in the prices of oil and gas, particularly during major crisis periods such as global financial crisis, COVID-19 pandemic and the Russo-Ukrainian War, affect financial markets.

This research aimed to conceptualize organizations as open and purposeful systems to study how organizational culture (OC) influences firms' Innovative Performance (IP). The authors proposed goal setting and internal integration/external adaptation paradox as central to explaining OC's mediating and suppressing effects on IP.

The authors collected data from 372 Costa Rican organizations and analyzed them with structural equations. This research used the Denison Model instead of the usual typology-based approaches.

The mission had a direct and high impact on IP. The mediated effect via adaptability was also elevated, as well as the suppressor effect through consistency. There was no effect on IP of involvement. According to these results, the Open and Rational Systems Framework emerge as the main theoretical explanatory concepts.

Disaggregating the OC through a performance-oriented dimensional model makes it possible to study the dynamics between the elements that compound it and facilitate integrating these findings with other research streams.