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Mixed methods research is useful to enhance theoretical and practical research contributions. However, single methods have predominated much logistics and supply chain management (LSCM) research. This paper presents a review of mixed methods research across ten years in LSCM to determine their usage, identify benefits and inhibitors, and provide suggestions for LSCM researchers to realise the benefits from using mixed methods.

This paper adopts a mixed methods approach through a quantitative analysis of methods used in six leading LSCM journals, an e-mail survey of mixed methods article authors during the review period, and four published case studies that used mixed methods.

Only 144 (ten percent) of all empirical articles were published using mixed methods during the review period. A range of benefits and inhibitors regarding mixed methods adoption were found. Suggestions for LSCM authors include research training in mixed methods use and developing a project-specific research design due to the specificity and complexity associated with mixed methods research.

LSCM is at a critical juncture, shaped by new contexts, themes and challenges, and would benefit from different research approaches and methods. This paper contributes to the LSCM domain through analysing the current state, benefits and inhibitors of mixed methods research in LSCM journals to provide a renewed call to action and guidelines for mixed methods LSCM research, and suggesting research design adaptation to enable agile and resilient research when investigating rapidly changing and complex phenomena.

This article aims to explain the role of philosophical anchors and research paradigms in business research, and how they can be extrapolated in the transformative era of automation, digitalization, hyperconnectivity, obligations, globalization and sustainability (ADHOGS) in the midst of disruption, volatility, uncertainty, complexity and ambiguity (DVUCA).

This article entails a general review based on the 3Es of exposure, expertise and experience, delving into the ontological, epistemological, methodological, axiological and rhetorical aspects of the major research paradigms—i.e. positivism, post-positivism, constructivism, interpretivism and pragmatism—and their interplay with the emergent trends shaping business research.

This article underscores the multifaceted nature of business research in the modern day, with an increasing need for blending, or shifting between, research paradigms to address the complex issues arising from automation, digitalization, hyperconnectivity, obligations, globalization and sustainability (ADHOGS). This article also highlights the nuanced interplay between research paradigms and theoretical perspectives, demonstrating the rich, diverse potential of business research inquiries.

While this article provides a broad overview of the interplay between research paradigms and emerging trends, future research could explore each of these interplays in greater detail, conducting empirical studies or utilizing specific case studies.

Researchers and practitioners should be open to adopting, combining or switching between different paradigms according to the demands of their research questions, context and trends shaping the business landscape, thereby underscoring the need for methodological flexibility and reflexivity in business research.

The shift toward embracing digital transformations and integrating sustainability in business research holds significant implications, driving socially responsible and sustainable business practices at the micro-level, and by extension, industrial revolution and sustainable development at the macro-level.

This article offers a holistic and contextualized view of the philosophy of science and research paradigms for business research, bridging the gap between philosophical foundations and contemporary research trends.

The study aims to promote the use of qualitative methods in service research by investigating how these methods are reported in service journals, how the level of reporting has evolved and whether methodological reporting influences the downloads or citations received by qualitative articles.

Methodological reporting practices were identified through content analysis of 318 qualitative articles published in three major service research journals and comparison with prior methodological literature. Regression analysis was used to test how the level of methodological reporting influences article downloads and citations.

The study identifies 29 reporting practices related to 9 key methodological reporting areas. The overall level of methodological reporting in published qualitative articles has increased over time. While differences in the level of reporting between service journals persist, they are narrowing. The level of methodological reporting did not influence downloads or citations of qualitative articles.

Service scholars using qualitative methods should pay attention to methodological reporting as it can improve the chances of being published. Factors such as theoretical contributions are likely to have a greater influence on article impact than methodological reporting.

No prior study has explored methodological reporting practices across different qualitative methodologies or how reporting influences article impact. For authors, reviewers and editors, the study provides an inventory of reporting practices relevant for evaluating qualitative articles, which should lower barriers for qualitative methods in service research by providing practical guidelines on what to focus on when reporting and assessing qualitative research.

The harmonisation of university degrees at the European level leads us to believe that training needs are addressed in the same way in different countries. However, the inevitable adaptation to the changing environment faced by companies requires a continuous adjustment between training and future needs, according to the sector. The aim of this paper is to compare two leading and culturally similar countries in the tourism sector in order to determine whether training is being provided homogeneously in tourism higher education and whether more specific training is desired to meet the needs of the sector in each country.

This study is part of the European Next Tourism Generation (NTG) Project, the first European partnership to foster a collaborative and productive relationship between the education system and the tourism industry. A mixed research study was conducted with the purpose of development, i.e. with the intention that the results of one method (qualitative) are used to assist the development of the other method (quantitative) and an exploratory sequential design. Both qualitative (29 interviews) and quantitative (509 tourism organisations) methods are used.

For a sector that has undergone significant changes in recent years, the results show the differences between countries around the current level of soft skills of employees, the level they will need to develop in the future and the gaps that those responsible for training future employees in the sector need to focus on for the 2030 horizon.

Several recommendations have emerged from this paper: to complement higher education, to achieve a better link between the business world and future workers; to provide much more incentives for international student mobility, which will allow students to develop intercultural soft skills before they enter the world of work, and to propose the creation of a social network to share, communicate and learn about resources specific to the tourism industry.

Since the Bologna Plan, higher education institutions have been tasked with preparing students for the world of work and developing the employability of graduates. The link between the professional world (companies) and the educational world (training centres) is a crucial factor in determining students' future skills and needs. When educational programmes respond to the needs of industry, the university can gain a competitive advantage. Therefore, some authors suggest the need for coordination and regular communication between business and training centres, thus improving the competitiveness of companies and reducing the gap that currently exists. In this paper, comparing two culturally similar countries with a recognised trajectory in the tourism sector, we will try to observe this gap and propose interesting options for the future of the sector.

The objective of this research is to investigate the capabilities of the ChatGPT GPT-4 model, a form of artificial intelligence (AI), in comparison to human experts in the context of construction project risk management.

Employing a mixed-methods approach, the study draws a qualitative and quantitative comparison between 16 human risk management experts from Finnish construction companies and the ChatGPT AI model utilizing anonymous peer reviews. It focuses primarily on the areas of risk identification, analysis, and control.

ChatGPT has demonstrated a superior ability to generate comprehensive risk management plans, with its quantitative scores significantly surpassing the human average. Nonetheless, the AI model's strategies are found to lack practicality and specificity, areas where human expertise excels.

This study marks a significant advancement in construction project risk management research by conducting a pioneering blind-review study that assesses the capabilities of the advanced AI model, GPT-4, against those of human experts. Emphasizing the evolution from earlier GPT models, this research not only underscores the innovative application of ChatGPT-4 but also the critical role of anonymized peer evaluations in enhancing the objectivity of findings. It illuminates the synergistic potential of AI and human expertise, advocating for a collaborative model where AI serves as an augmentative tool, thereby optimizing human performance in identifying and managing risks.

This study aimed to acquire a comprehensive understanding of the digital literacy skills possessed by first-year students and how they impact students' participation in online classes.

This research was conducted using a quantitative method to investigate first-year students' digital literacy and its effect on their interaction in online learning. Nine hundred and two students from 19 online English writing classes were invited to complete an online survey questionnaire. The sampling approach was conducted by a nonrandom method. Prior to the data collection, the instrument was reviewed by researchers and peers with quantitative and Indonesian language backgrounds. The procedure was conducted to ensure that the instrument covered the objective of the research.

The results showed that students digital literacy in the first semester, in general, is still in the low category. The average score for each competency area still varies. The average score on information and data literacy competence was low. The average score for communication and collaboration competence was in the medium category. The average score for the digital content creation competence area is low.

The authors suggest that educational institutions should consider organizing primary student digital literacy training or optimizing the lecture process to improve students' digital literacy and further research could usefully explore how information and communication technology (ICT) skills affect student performance.

The study reveals the importance of digital literacy of students for online teaching learning. In order to achieve quality teaching in online methods, the digital literacy is a must for students. The study highlights the limitations of the study and indicates the necessity for further research in this area. The findings have immense implications for practice in a distance learning university, where online teaching learning has become a new normal post-Covid-19.

The authors present new findings on the digital literacy of first-year students and their effect on their interaction in online learning. The authors also make connections between digital literacy and student engagement in online classes, which is a significant contribution to the field. This paper also provides a comprehensive review of the literature on digital literacy and e-learning, which adds to the scholarship in the field.

Coaching is a widespread form of human development that has grown considerably in recent years. However, it is not well understood in entrepreneurship and small and medium-sized enterprises (SMEs) and little is known about the success factors for coaching in SMEs. Thus, this article presents a theoretical framework for coaching SMEs. The paper reports on a study carried out to develop and validate a coaching model for entrepreneurship in SMEs.

A mixed methods approach was undertaken in SMEs in the Iranian pharmaceutical industry. Confirmatory factor analysis (CFA) was used to confirm the samples and the model's dimensions.

The results show five chief constructs of the entrepreneurial coaching model. In particular, the authors determine the importance of early goal setting and identify the essential characteristics of an effective entrepreneurial coach.

Firstly, the data relied solely on the pharmacy industry in Iran, indicating a need for future studies to explore coaching programs across various industries and countries. Additionally, a quantitative aspect of the research involved participants answering questionnaires based on their perceptions. This subjective nature introduces a potential for inaccuracies in participants' perceptions and expectations. Furthermore, the inherent bias of program stakeholders may have led to exaggerated responses. To mitigate these issues, it would be beneficial to conduct experimental and longitudinal research, which could address these concerns more effectively.

By utilizing a theoretical framework, the authors goal is to define the essential features of coaching in SMEs and compare it to other developmental interventions to highlight both commonalities and distinctions. This approach addresses the recent suggestions in coaching literature to distinguish coaching practices tailored for particular groups, specifically entrepreneurs involved in SMEs.

This study contributes to understanding the essential features for successful entrepreneurial coaching in SMEs.

This study describes how two organisations transitioned to teaching Lean online during and post Covid-19. This study aims to establish how Lean teaching and training can be designed and delivered effectively online without adverse effects on the student’s learning experience of Lean concepts.

A case study approach was used to review the design, application and results of the transition to online Lean teaching and training. Qualitative and quantitative methods were deployed to assess the results.

Online Lean learning and application were assured via the design of practical problem-based teaching environments, aided by using the virtual classroom as an obeya room and as a kaizen environment where students worked in teams. Students were enabled to learn and apply Lean tools practically and reflect on their learnings.

This study demonstrates that effective online design can ensure. Lean methods are understood without affecting the student's learning, classroom experience and grasp of concepts.

To the best of the author’s knowledge, this is one of the first studies on implementing Lean training and education online during COVID-19 under the lens of both a training provider and university education viewpoint. The changes validated best practices for virtual Lean education and training in the organisations under study, maintained post-COVID.

School effectiveness has attracted some currency in educational research globally since the 1960s though such studies mostly point to the efforts of principal leadership as the basis for promoting effective schools. However, in the case of Ghana, there is a lack of research conducted in the area, and due to that, this study sought to explore internal public perspectives of what constitutes school effectiveness in the Colleges of Education in the Upper East Region of Ghana.

This study employed the convergent parallel mixed-method design otherwise called concurrent mixed-method design. The population for the study comprised second and third-year students, tutors and leadership of the colleges. In total, 308 respondents constituted the sample size. The breakdown is 257 students in all, 41 tutors and 10 leaders of the colleges. Two instruments, namely, an in-depth interview guide and a questionnaire were used to elicit responses to address the object of this study.

The study revealed that the characteristics of effective schools include the high academic performance of students and a good show of disciplined behavior by both students and staff in the colleges among others.

To the best of our knowledge, during the search for studies conducted on school effectiveness, there is no scientific study done in Ghana highlighting the attributes of effective educational institutions. Most of the studies conducted in the area of educational studies only focused on principal leadership, educational access, participation and equity at the level of pre-tertiary institutions.

This paper is motivated by the need to assess the risk profiles associated with the substantial number of items within military supply chains. The scale of supply chain management processes creates difficulties in both the complexity of the analysis and in performing risk assessments that are based on the manual (human analyst) assessment methods. Thus, analysts require methods that can be automated and that can incorporate on-going operational data on a regular basis.

The approach taken to address the identification of supply chain risk within an operational setting is based on aspects of multiobjective decision analysis (MODA). The approach constructs a risk and importance index for supply chain elements based on operational data. These indices are commensurate in value, leading to interpretable measures for decision-making.

Risk and importance indices were developed for the analysis of items within an example supply chain. Using the data on items, individual MODA models were formed and demonstrated using a prototype tool.

To better prepare risk mitigation strategies, analysts require the ability to identify potential sources of risk, especially in times of disruption such as natural disasters.