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Leader self-efficacy (LSE) is associated with leader emergence and effectiveness, and is a strong predictor of both individual and group performance. While some research exists related to the connection between LSE and adult leadership, more studies are required to better understand the details surrounding LSE as it relates to adolescents. This mixed methods study examines the effects of a leadership development intervention on LSE in an eighth-grade student population. Results indicate strong support for the effectiveness of the intervention and its potential to increase youth LSE. This finding holds significant implications for educational practice, research, and the future of leadership development.

Leader self-efficacy (LSE) is a construct studied in adults and college students which is associated with leader emergence, individual performance, and group performance.However, to date, it has not been heavily examined in youth.Therefore, a five-item youth LSE scale was created which can aid in further research of this construct.This holds significant implications for future educational initiatives, research, and the development of the next generation of leaders.

A continuous issue which plagues all service businesses is the process of handling complaints. Whilst the topic has been relatively well explored, extant literature has failed to fully explore how staff demographics influence the methods in which they manage complaints.

A qualitative approach was adopted with semi-structured interviews. A purposeful sample was selected, inviting managers from hotels in Dubai to share their views on factors affecting the complaint management process, including the impact of staff demographics.

Staff demographics were found to have an impact on staff's approach to handle complaints. However, participants generally felt that, with sufficient experience, the impact of many of these influences would be negated.

Literature on complaint management has considered numerous mitigating factors affecting the complaint management process. The impact of staff demographics on how they receive and respond to complaints has not been thoroughly explored.

To delve into the integration of global logistics and supply chain networks amidst the digital transformation era. This study aims to investigate the potential role of China’s Belt and Road Initiative (BRI) in facilitating the integration of global flows encompassing both tangible goods and intangibles. Additionally, the study seeks to incorporate third-party logistics activities into a comprehensive global logistics and supply chain integration framework.

Prior research is synthesised into a global logistics and supply chain integration framework. A case study was undertaken on Yuan Tong (YTO) express group to investigate the framework, employing qualitative data analysis techniques. The study specifically examined the context of the BRI to enhance comprehension of its impact on global supply chains. Information was collected in particular to two types of supply chain flows, the physical flow of goods, and intangible information and cash flows.

The proposed framework aligns well with the case study, leading to the identification of global logistics and supply chain integration enablers. The results demonstrate a range of ways BRI promotes global logistics and supply chain integration.

The case study, with multiple examples, focuses on how third-party logistics firms can embrace global logistics and supply chain integration in line with BRI. The case study approach limits generalisation, further applications in different contexts are required to validate the findings.

The framework holds promise for aiding practitioners and researchers in gaining deeper insights into the role of the BRI in global logistics and supply chain integration within the digital era. The identified enablers underscore the importance of emphasising key factors necessary for success in navigating digital transformation within global supply chains.

The aim of this paper is to review metrics and develop a framework for measuring leagile supply chain. Metrics that are applicable in the lean, agile and leagile strategies are identified in the literature and are then combined into a framework that can reflect both agile and lean strategies – the leagile supply strategy.

This work is based on the systematic literature review. Literature was collected, then lean and agile metrics were extracted, analysed, counted and grouped into the framework. Findings are compared against literature on leagile supply chain.

Findings indicate that there are sets of metrics specific to lean strategy, such as are process-focused, cost, productivity, inventory and delivery-based metrics, and specific to agile such as flexibility, responsiveness, information sharing and cooperation. There are also metrics common for both strategies; they are related to time, quality and customer satisfaction. Lean measures are tangible and focused on internal processes and products, while agile measures are targeted at external environment.

The framework could be used by practitioners as a starting point for performance system design.

There is a need to stop looking at lean and agile as separate and distinct supply strategies. Results of this research indicate that lean and agile are interlinked, both are focusing on customer satisfaction and quality. Applying a proposed set of metrics enables to design supply chain measurement system that reflects both strategies to measure leagile supply chain. The framework could be used by practitioners as a starting point for performance system design.

The purpose of this paper is to examine the student mobility programs of the three initiatives – in Southeast Asian Ministers of Education Organization-Regional Institution of Higher Education and Development, University Mobility in Asia and Pacific (UMAP), and Campus Asia – and provide a comparative analysis of the respective programs in terms of the role of government, institutional involvement, quality assurance, and challenges. In addition, the paper will assess their impacts on higher education regionalization by regulatory models toward the end of the paper.

The study adopts qualitative document analysis as a major research method to explore the developmental models of three student mobility programs. Document analysis is an approach used to gather and review the content of existing written documentation related to the study in order to extract pieces of information in a rigorous and systematic manner.

ASEAN International Mobility for Students (AIMS), Collective Action for Mobility Program of University Student in Asia (CAMPUS Asia), and UMAP student mobility schemes have a shared purpose in higher education regionalization, but with different regulatory frameworks and Functional, Organizational, and Political approach models. AIMS and CAMPUS Asia as a strong network and government-led initiatives adopt a combination of functional, organizational, and political approaches; UMAP provides university-driven regional mobility programs with a hybridized force. However, all three of them face the same challenges at regional and national levels, such as different national regulation, coordination among participants, and implementation of credit transfer schemes.

The scale of three student mobility programs is still low, which results in limited impact on higher education regionalization in Asia. However, a stronger decision-making model and increased financial support to universities and students are desirable for the creation of a sustainable and effective network.

This is an original research and makes a great contribution to Asian nations.

The purpose of this paper was to investigate what types of supply chain strategies (SCS) are implemented within luxury fashion companies, according to the drivers that regulate competitiveness in this sector (brand positioning, distribution channel, type and line of product). Moreover, the objective was to define which key performance indicators (KPIs) should be measured according to the chosen strategy, and finally to evaluate the alignment of luxury fashion companies with the proposed indicators.

The literature review was the first step performed. Thereafter, a case study was conducted and the sample, composed of six companies, was selected, a questionnaire was then developed to guide the interviews, after which the data were collected. From the data, a primary case analysis was conducted, from which cross-case patterns were also researched.

From the results obtained, it was possible to state that companies involved in the case study adopted different SCS within the same company according to the drivers that regulate the sector competitiveness. As a result, the product line was shown to be the only driver that affected both the alignment between the expected and implemented SCS, respectively, and the alignment with the selected KPIs.

The paper provides valuable insights to companies that are trying to align SCS and KPIs. The close link between these aspects had not yet been explored previously. In particular, there were no indications about the KPIs that have to be measured for a specific SCS.

This paper tests whether Bayesian A/B testing yields better decisions that traditional Neyman-Pearson hypothesis testing. It proposes a model and tests it using a large, multiyear Google Analytics (GA) dataset.

This paper is an empirical study. Competing A/B testing models were used to analyze a large, multiyear dataset of GA dataset for a firm that relies entirely on their website and online transactions for customer engagement and sales.

Bayesian A/B tests of the data not only yielded a clear delineation of the timing and impact of the intellectual property fraud, but calculated the loss of sales dollars, traffic and time on the firm’s website, with precise confidence limits. Frequentist A/B testing identified fraud in bounce rate at 5% significance, and bounces at 10% significance, but was unable to ascertain fraud at the standard significance cutoffs for scientific studies.

None within the scope of the research plan.

Bayesian A/B tests of the data not only yielded a clear delineation of the timing and impact of the IP fraud, but calculated the loss of sales dollars, traffic and time on the firm’s website, with precise confidence limits.

Bayesian A/B testing can derive economically meaningful statistics, whereas frequentist A/B testing only provide p-value’s whose meaning may be hard to grasp, and where misuse is widespread and has been a major topic in metascience. While misuse of p-values in scholarly articles may simply be grist for academic debate, the uncertainty surrounding the meaning of p-values in business analytics actually can cost firms money.

There is very little empirical research in e-commerce that uses Bayesian A/B testing. Almost all corporate testing is done via frequentist Neyman-Pearson methods.

Complying with the code of conduct by professionals in the construction industry worldwide has become a significant issue over the years. This has led to projects' failure, leading to losses to both the client and contractors. The study's objective is to identify the challenges of construction professionals in complying with their code of conduct and preventing corrupt practices.

Quantitative approach was used to collect empirical data by sending questionnaires to 56 construction professionals in South Africa. Data gathered were analysed through Excel statistical tool. Mean values were calculated for the quantitative data, whilst thematic content analyses were used to generate frequencies and percentages for qualitative data.

The findings indicate that construction professionals experience many unethical issues in their work duties such as inflated tender prices, overpricing the rates, tender-based kickbacks, bribes for projects, unethical methods of project execution, use of lower grade materials than specified, discrimination, among others. However, issues such as greediness, acceptance of corruption as usual practice, lack of knowledge about the code of conduct, the only way to get contracts, part of the process, and peer pressure create a challenge in complying with the code of conduct and preventing corrupt practices among construction professionals.

Construction professionals face many unethical and corrupt practices in their project management and execution, which they cannot overcome due to many factors. Therefore, there is the need to sensitise the professionals in the construction industry regarding their code of conduct as well as the danger associated with engaging in corrupt practices in their work and their implication on project performance.

The findings give an insight into the critical factors curtailing the construction professional's ability to comply with their code of conduct and be corrupt-free in their line of duty. Thus, professional associations can use the findings in guiding their members.

In 2022, the International Network for Quality Assurance (QA) Agencies in Higher Education (INQAAHE) published the new guidelines by adding three QA modules in response to the changing higher education landscape. The paper aims to investigate the transformative focus of quality assurance in higher education globally as well as Asian response to three new QA modules according to the INQAAHE ISGs.

The research conducted a quantitative approach for data collection. An on-line survey was conducted to perceive QA practices, perceptions toward new emerging QA modules and challenges encountered. In total, there were 26 responses from 18 territories with 22 QA agencies. A total of 13 out of them have a national qualifications framework in place.

Three are three major findings in the study. First, national policy and criteria and standards in distance education have been developed in the majority of Asian nations. Second, non-signatories of the Tokyo Convention had a higher proportion of having related policies, regulations and criteria in CBHE and distance education. Third, national policies and regulations; and lack of professional staff are two common challenges implementing QA in new types of providers.

The findings are of value for policymakers, QA agencies and universities to advocate the new QA model as a systematic approach in response to changing higher education landscape in the post pandemic era.