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The paper tries to investigate the impact of applications of the resource-based view (RBV) theory in the management field to improve the firm’s profitability. Global firms are innovating and adopting new technology, paving the way to improve their performance.

We have adopted RBV in management practices such as marketing, strategy, finance, and human resources.

RBV has gained researchers' attention with the growing competitive world and new challenges to retaining customers and achieving their pre-defined targets. We attempt to identify the issues related to the usage of RBV in management.

Using RBV in management may help researchers create a competitive mindset and be prepared for uncertain challenges in the business world.

The globalisation of supply chains has contributed to modern slavery by degrading labour standards and work practices. The inherent difficulties involved in monitoring extremely fragmented production processes also render workers in and from developing countries vulnerable to labour exploitation. This research adopts a benchmark methodology that will help examine the inherent modern slavery challenges.

This study examines how the benchmark model, including governance, risk assessment, purchasing practice, recruitment and remedy of victims, addresses supply chain modern slavery challenges. The proposed hypotheses are tested based on the reoccurring issues of modern slavery in global supply chains.

Estimations suggest that modern slavery is a growing and increasingly prominent international problem, indicating that it is the second largest and fastest growing criminal enterprise worldwide except for narcotics trafficking. These social issues in global supply chains have drawn attention to the importance of verifying, monitoring and mapping supply chains, especially in lengthy and complex supply chains. However, the advent of digital technologies and benchmarking methodologies has become one of the existing key performance indicators (KPIs) for measuring the effectiveness of modern slavery initiatives in supply chains.

This review provides an understanding of the current situation of global supply chains concerning the growing social issue of modern slavery. However, this includes various individual specialities relating to global supply chains, modern slavery, socially sustainable supply chain management (SCM), logistic social responsibility, corporate social responsibility and digitalisation. Furthermore, the review provided important implications for researchers examining the activities on benchmarking the effectiveness of the existing initiatives to prevent modern slavery in the supply chains.

This paper aims to explore the changes that an organizational performance and control system should perform to adapt to the current dynamic environment.

This paper first presents the features of a typical organizational control system. It identifies current technological developments that affect the control process and evaluates the changes that should be introduced in order for the organization to function effectively.

Although the components of organizational performance and control systems remain the same, most of them have changed their features, such as strategy should be visited more frequently, processes are digitized and therefore customers are more involved in the process, and actual performance can and should be monitored automatically.

This paper presents a comprehensive model of a control system that can be implemented by every organization, as well as points out control features that should be continuously reviewed and updated.

The number of young people using e-cigarettes (commonly referred to as vaping) has grown at an alarming rate, creating the need for urgent action. This paper demonstrates rapid step-by-step iterative application of the Co-create, Build and Engage (CBE) framework to showcase how marketing was applied in response to emerging trends that have negative health and environmental consequences. This paper aims to demonstrate how CBE is applied iteratively, ensuring student feedback leads module development.

In Study 1, a pure seven-step co-design implementation, 19 high school students were invited to co-design a vaping prevention approach that would work for them and other people like them. During the sensitisation phase of co-design, students completed one Blurred Minds Vaping module. Feedback grids were provided, with students identifying likes, dislikes and ideas. This likeability data was used, together with input from technical experts and pedagogical best practice, in a 12-week research and development project that aimed to develop a new online learning module focused on vaping and their environmental impacts for the Blurred Minds Academy. The new module was tested with 20 high school students. Feedback grids were provided once again, allowing a comparison of results.

Examination of feedback grid data demonstrates that the newly developed Vaping and the Environment module was improved. Considerations taken on board in the new module design (e.g. increased variability within the module) overcame criticisms expressed previously (e.g. it was boring and too long). Other criticisms remained evident, albeit at a much lower proportion suggesting the new Vaping and the Environment module, and future Blurred Minds module development, would benefit from iterative CBE application.

Conduit et al. (2022) note that marketing academia has been criticised for having an increasingly less relevant managerial agenda. This paper outlines a rapid step-by-step application of marketing in response to one of society’s most pressing health challenges – vaping. The iterative application of CBE is outlined, demonstrating that the student experience can be enhanced when marketing’s continual improvement mindset is used. This is the first vaping prevention programme that has included substantive information around the negative impacts of vaping on the environment.

This study aims to assess the response of the Association of Southeast Asian Nations (ASEAN) to cleaner production and environmental sustainability, with a specific focus on identifying the leading countries and research networks driving these efforts.

A benchmarking academic journal was chosen, and the journal’s archive was comprehensively examined. To construct the data set, a conventional keyword search technique was applied in February 2023 to filter for ASEAN affiliations. The study used hybrid bibliometric analyses and multi-criteria decision analysis (MCDA) to analyze the collected data and address the research purpose.

The data analysis revealed a rising research trend, particularly after 2014. Malaysia had the most publications, followed by Thailand and Singapore, and their publications had the most cumulative citations among ASEAN countries. Research collaborations between Malaysia, Thailand and Singapore were frequent, but participation from other countries was low. The research topics on which ASEAN members focused were also identified, but it became apparent that there was little coordination. A scant few collaborations involving more than two countries were observed; thus, the MCDA analysis concluded that research leadership was absent in ASEAN countries.

This study contributes insights to the existing literature and offers a valuable overview of the research direction and collaboration status of cleaner production and environmental sustainability in the ASEAN region, thus benefiting policymakers. Additionally, this study introduces a novel approach combining bibliometrics analysis with MCDA to assess research collaboration, thus providing a novel methodology for future research policy evaluations.

This study aims to propose a risk-induced game theoretic forecasting model to predict average daily rate (ADR) under COVID-19, using an advanced recurrent neural network.

Using three data sets from upper-midscale hotels in three locations (i.e. urban, interstate and suburb), from January 1, 2018, to August 31, 2020, three long-term, short-term memory (LSTM) models were evaluated against five traditional forecasting models.

The models proposed in this study outperform traditional methods, such that the simplest LSTM model is more accurate than most of the benchmark models in two of the three tested hotels. In particular, the results show that traditional methods are inefficient in hotels with rapid fluctuations of demand and ADR, as observed during the pandemic. In contrast, LSTM models perform more accurately for these hotels.

This study is limited by its use of American data and data from midscale hotels as well as only predicting ADR.

This study produced a reliable, accurate forecasting model considering risk and competitor behavior.

This paper extends the application of game theory principles to ADR forecasting and combines it with the concept of risk for forecasting during uncertain times.

This study is the first study, to the best of the authors’ knowledge, to use actual hotel data from the COVID-19 pandemic to determine an appropriate neural network forecasting method for times of uncertainty. The application of Shapley value and operational risk obtained a game-theoretic property-level model, which fits best.

This research paper aims to contribute to the field of innovation performance benchmarking by identifying appropriate benchmarking groups and exploring learning opportunities and integration directions.

The study employs a multi-dimensional innovation-driven clustering methodology to analyze data from the 2019 edition of the Global Innovation Index (GII). Hierarchical and K-means Cluster Analysis techniques are applied using various sets of distance matrices to uncover and analyze distinct innovation patterns.

This study classifies 129 countries into four clusters: Specials, Advanced, Intermediates and Primitives. Each cluster exhibits strengths and weaknesses in terms of innovation performance. Specials excel in the areas of institutions and knowledge commercialization, while the Advanced cluster demonstrates strengths in education and ICT-related services but shows weakness in patent commercialization. Intermediates show strengths in venture-capital and labour productivity but display weaknesses in R&D expenditure and the higher education quality. Primitives exhibit strength in creative activities but suffer from weaknesses in digital skills, education and training. Additionally, the study has identified 35 indicators that have negligible variance contributions across countries.

The study contributes to finding the relevant countries’ grouping for the enhancement of communication, integration and learning. To this end, this study highlights the innovation structural differences among countries and provides tailored innovation policies.

The aim of this chapter is to examine the nominal and real convergence of Czechia. The importance of the convergence of Czechia with the euro area is linked to the future intention of joining the Economic and Monetary Union after the Maastricht criteria are met. This chapter covers the period from 2004 to 2021. We argue that nominal convergence is relative to the Maastricht criteria, when real convergence focuses on different areas: the Maastricht criteria, gross domestic product (GDP) per capita in purchasing power standards and real GDP growth rate, labour market (minimum labour costs and unemployment rates. Findings suggest that Czechia has reported the strongest real convergence in the area of relative economic level, moderate convergence of labour costs and divergence of unemployment. The nominal convergence analysis suggests that Czechia will not meet the Maastricht benchmarks in the near future and is not ready to join the euro area given its high inflation rate and the state of public finances.

Selective laser sintering (SLS) is an essential technology in the field of additive manufacturing. However, SLS technology is limited by the traditional point-laser sintering method and has reached the bottleneck of efficiency improvement. This study aims to develop an image-shaped laser sintering (ISLS) system based on a digital micromirror device (DMD) to address this problem. The ISLS system uses an image-shaped laser light source with a size of 16 mm × 25.6 mm instead of the traditional SLS point-laser light source.

The ISLS system achieves large-area image-shaped sintering of polymer powder materials by moving the laser light source continuously in the x-direction and updating the sintering pattern synchronously, as well as by overlapping the splicing of adjacent sintering areas in the y-direction. A low-cost composite powder suitable for the ISLS system was prepared using polyether sulfone (PES), pinewood and carbon black (CB) powders as raw materials. Large-sized samples were fabricated using composite powder, and the microstructure, dimensional accuracy, geometric deviation, density, mechanical properties and feasible feature sizes were evaluated.

The experimental results demonstrate that the ISLS system is feasible and can print large-sized parts with good dimensional accuracy, acceptable geometric deviations, specific small-scale features and certain density and mechanical properties.

This study has achieved the transition from traditional point sintering mode to image-shaped surface sintering mode. It has provided a new approach to enhance the system performance of traditional SLS.

This paper explores the impact of interior design education and its effectiveness in the work environment for women in the United Arab Emirates (UAE), as they are the primary recipients of interior design programs. The analysis focuses on the role of women in interior design in the Gulf countries and the update of an interior design program curriculum as part of the continuous development program requested by the UAE Commission of Academic Accreditation (CAA) of the national Ministry of Education (MoE).

The research adopts different methodologies: an academic annual effectiveness report (AER), requirements of relevant international and regional accreditation bodies and a double round of surveys and interviews with female students, alumni, instructors and professionals.

The article collects and compares data from different perspectives, from the academic to the professional point of view, discussing challenges and opportunities for female students in contemporary interior design in the UAE. After collecting the necessary feedback on the strengths and weaknesses of the bachelor’s program, a set of informed recommendations has been developed, approved and introduced during the academic year 2022/2023. At the end of the year, a second feedback from faculty and external reviewers was gathered and analyzed, providing preliminary insights into the effectiveness of the curricular revisions and highlighting the significant benefits for the female students.

The paper discusses the comprehensive and up-to-date combination of traditional elements, innovative approaches and sustainable practices, alongside the strategic planning of the United Arab Emirates, proposed to enhance female learning experiences while reinforcing their skills and competencies for their future careers.