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The purpose of this study is to identify, characterize and assess supplier flexibility measurement practices in the order-to-delivery process.

The study involved a survey; participants were 224 purchasing managers at Swedish manufacturing companies that had more than 20 employees.

Scrutiny of the details of measurement practices revealed that most respondents actually do not specifically measure supplier flexibility. Instead they measure other measures like delivery reliability, conduct qualitative follow-ups, or cannot specify how supplier flexibility is measured. It was acknowledged that they measure different supplier flexibility aspects, and the applied measures were characterized, e.g. in terms of which flexibility dimension they represent.

Conceptual clarifications and adaptations to measuring supplier flexibility in the order-to-delivery process are provided. The identified measures can be a contribution in further developing literature on flexibility performance measurement.

Purchasing, logistics and supply chain managers in search of supplier flexibility performance measurement can find ways to measure and an extended flexibility vocabulary. This has the potential to improve flexibility in the supply chain.

Even though flexibility is claimed as being an important competitive advantage, few empirical studies and operationalized measures exist, particularly in the order-to-delivery process.

Intellectual capital (IC) plays a crucial role in today’s volatile business landscape, yet its measurement remains complex. To better navigate these challenges, the authors propose the Integrated Intellectual Capital Measurement (IICM) model, an innovative, robust and comprehensive framework designed to capture IC amid business uncertainty. This study focuses on IC measurement models, typically reliant on secondary data, thus distinguishing it from conventional IC studies.

The authors conducted a systematic literature review (SLR) and bibliometric analysis across Web of Science, Scopus and EBSCO Business Source Ultimate in February 2023. This yielded 2,709 IC measurement studies, from which the authors selected 27 quantitative papers published from 1985 to 2023.

The analysis revealed no single, universally accepted approach for measuring IC, with company attributes such as size, industry and location significantly influencing IC measurement methods. A key finding is human capital’s critical yet underrepresented role in firm competitiveness, which the IICM model aims to elevate.

This is the first SLR focused on IC measurement amid business uncertainty, providing insights for better management and navigating turbulence. The authors envisage future research exploring the interplay between IC components, technology, innovation and network-building strategies for business resilience. Additionally, there is a need to understand better the IC’s impact on specific industries (automotive, transportation and hospitality), Social Development Goals and digital transformation performance.

Surprisingly, most studies have failed to demonstrate a strong correlation between organizational constraints (conditions at work that make doing a job difficult) and job performance. The purpose of this paper is to challenge the view that constraints are a direct barrier on performance and take an alternative approach whereby constraints have an indirect effect via decreased motivation and increased workload. Further, differential effects of various constraints are examined.

Qualitative and quantitative data were collected from 660 engineers licensed in the state of Florida using a single online survey.

Qualitative results showed that the most commonly experienced constraints were from coworkers and organizational rules and procedures. Constraints identified as having a greater detrimental effect on motivation are from the supervisor, and organizational rules and procedures. Quantitative results supported an indirect effects model that includes an indirect path via motivation, and a path via workload, which had a curvilinear component.

This is one of few studies to explain the relationship between constraints and performance, rather than simply estimate it. The use of mixed methods allows us to gain an in-depth understanding of constraints, and the convergence of findings across the methods increases confidence in this study’s results.

The purpose of this study is to develop a methodology which amalgamates quantitative and qualitative approaches to determine the best placement of mobile logistics hubs (MLH) to be established in different parts of Nepal as a part of real-life project, “Augmentation of National and Local-Level Emergency Logistics Preparedness in Nepal” (2017–2020), implemented by the World Food Programme in cooperation with the Government of Nepal.

The study develops a methodology using a combination of a modified version of the maximal covering location problem (MCLP) and focus group discussion. The MCLP model is used to determine the optimal number and spatial location of MLHs, and focus group discussion is used to identify the five first-priority strategic MLH locations using expert knowledge.

The authors identify the five first-priority locations for establishing MLHs using an amalgamation of quantitative approach (mathematical model) and qualitative approach (focus group discussion). By amalgamating mathematical model with expert knowledge, findings acceptable to a wide range of stakeholders are obtained. The focus group discussion helps to pinpoint the location of MLHs to city-level granularity which is otherwise impossible with data available on hand.

Although multiple experts’ judgements were obtained via focus group discussion, subjectivity and possible bias is inevitable. Overall, the quantitative results of the study are purely based on the data available during the study period; therefore, having updated data could possibly improve the quality of the results.

This study is the first of its kind that uses an amalgamation of mathematical model and expert knowledge to determine the strategic locations of MLHs and has been successful to an extent that the selected locations have been vetted by the government of Nepal for establishing MLHs and are undergoing implementation in real life. This study also considers multiple disaster scenarios and employs the concepts of human development, disaster risk and transportation accessibility to reflect Nepal's socioeconomic, geo-climatic and topographical features.

Humans remain unsuccessful in their attempts to achieve environmental sustainability, despite decades of scientific awareness and political efforts toward that end. This paper suggests a fresh conceptualization, one that focuses on education, offers a fuller explanation for our lack of success and calls attention to alternatives.

The authors first critically review mainstream approaches that have been used to achieve environmental sustainability, then introduce an alternative that the authors call the cultural approach. The authors finally discuss how educational research should be re-articulated based on the cultural approach.

The authors identified three mainstream approaches – the technological, cognitive approach and behaviorist – all of which function to reproduce modern mainstream culture. In contrast, the cultural approach assumes modern mainstream culture as the root cause of environmental unsustainability and aims to rearticulate it. To elaborate a cultural approach, the authors recommend education scholars to (1) bring attention to the role of culture in sustainability and (2) identify education practices that are potentially useful for enacting a cultural shift, primarily developing richer synergies between qualitative and quantitative research.

Unlike many previous studies in the field of education, the authors’ account highlights how current mainstream approaches used for current global education policymaking often merely reproduces modern mainstream culture and accelerates the environmental crisis. It thus proposes to redirect educational research for a cultural shift, one that allows human society to move beyond the comforting rhetoric of sustainability and face the survivability imperative.

This study examined how youth would mitigate non-medical use of prescription medication among their peers.

The National Monitoring of Adolescent Prescription Stimulants Study (N-MAPSS) was conducted as an interview comprising 11,048 youth of 10–18 years of age between 2008 and 2011 from entertainment venues of 10 US urban, suburban, and rural areas. Using a mixed-methods approach, participants completed a survey culminating in open-ended questions asking: (1) How should kids your age be informed about prescription drugs and their effects? (2) If you ran the world, how would you stop kids from taking other people’s prescription medicines? (3) Why do people use prescription stimulants without a prescription? Responses from a random sample of 900 children were analyzed using qualitative thematic analyses.

The random sample of 900 youth (52 percent female, 40 percent white, with a mean age of 15.1 years) believed they should be educated about prescription drugs and their negative effects at schools, at home by parents, through the media, and health professionals. Youth would stop kids from using other people’s prescription drugs through more stringent laws that restricted use, and providing education about negative consequences of use. Peer pressure was the most common reason the youth gave for using other’s pills, though some reported taking them out of curiosity.

The importance of considering youth’s opinions on non-medical use of prescription medications is often overlooked. This evidence, from a peer perspective, could end the illicit use of prescription drugs among today’s youth.

The concept of “regenerative business” is thriving in current business literature. The present study seeks to contribute to the current academic debate by investigating the nature and scope of regenerative hospitality, here seen as a steppingstone of regenerative tourism.

Exploratory in nature and with the goal of understating the nature and scope of regenerative hospitality, nineteen semi-structured interviews with academics, consultants and self-proclaimed regenerative hoteliers were conducted.

Results provide a regenerative hospitality framework to move from the current sustainability paradigm towards local and systemic regenerative approaches in hospitality by applying place and people intelligence.

This research contributes to the current academic debate about the future of travel, particularly focussing on the future of hospitality in relation to the multidisciplinary field of regenerative economy. Particularly, the paper has been designed to contribute to the current discussion in the Journal of Tourism Futures about the transformation and regenerative future of tourism.

The paper is dedicated to the analysis of fuzzy similarity measures in uncertainty analysis in general, and in economic decision-making in particular. The purpose of this paper is to explain how a similarity measure can be chosen to quantify a qualitative description of similarities provided by experts of a given domain, in the case where the objects to compare are described through imprecise or linguistic attribute values represented by fuzzy sets. The case of qualitative dissimilarities is also addressed and the particular case of their representation by distances is presented.

The approach is based on measurement theory, following Tversky’s well-known paradigm.

A list of axioms which may or may not be satisfied by a qualitative comparative similarity between fuzzy objects is proposed, as extensions of axioms satisfied by similarities between crisp objects. They enable to express necessary and sufficient conditions for a numerical similarity measure to represent a comparative similarity between fuzzy objects. The representation of comparative dissimilarities is also addressed by means of specific functions depending on the distance between attribute values.

Examples of functions satisfying certain axioms to represent comparative similarities are given. They are based on the choice of operators to compute intersection, union and difference of fuzzy sets. A simple application of this methodology to economy is given, to show how a measure of similarity can be chosen to represent intuitive similarities expressed by an economist by means of a quantitative measure easily calculable. More detailed and formal results are given in Coletti and Bouchon-Meunier (2020) for similarities and Coletti et al. (2020) for dissimilarities.

This report explored enriched notions and dimensions of quality massive open online courses (QMOOCs). The purpose of this paper is to visualize the quality measures adjacent to MOOCs and understanding distinctive outlooks to approaching them. It was also of interests to envisage how and in what routines those notions and dimensions interrelated.

Exploratory-design was employed to qualitatively establishing conceptual and operational frameworks first through reviewing processes and focus-group discussions. QMOOCs were reflected by four dimensions: scientifically provable, technically feasible, economically beneficial and socio-culturally adaptable. Besides, QMOOCs involved six notions (6P: presage, process, product, practicability, prospective and power) and affected knowledge, skills and professionalism (KSP). Quantitatively, QMOOCs, 6P and KSP were the moderating, independent and dependent variables, respectively. Associated data were accumulated through survey by distributing 600 questionnaires randomly to 708 Universitas Terbuka faculty members; 299 of them were completed.

Nine hypotheses were scrutinized utilizing structural-equation model and eight were validated by the analysis. It was statistically inferred that product was alluded as the prime notion to QMOOCs followed by process, practicability, presage and power; prospective was excluded. Professionalism, knowledge and skill were influenced by QMOOCs. Importance-performance analysis (IPA) and customer-satisfaction index were emulated (and applied) to quantify respondents opinion and relevance degree of those engaged notions and dimensions. IPA analysis revealed four prominent notions (corresponding, functional, well-defined and learner-focused) and one dimension (technically feasible).

Qualitative framework was imperfectly confirmed by the quantitative upshot. Further inquiry is crucial searching for plausible validation how this consequence was marginally distinctive in conjunction with authenticating QMOOCs.

This study aims to identify the gap between the requirements of the accreditation bodies and the widely used learning management systems (LMSs) in assessing the intended learning outcomes (ILOs). In addition, this study aims to introduce a framework, along with the evaluation of the functionality of the LMS, for measuring the ILO.

A qualitative method was deployed to examine the gap between the requirements of the accreditation standards and the LMS functionalities. The researchers collaborated to design a mechanism, develop a system architecture to measure the ILO in alignment with the accreditation standards and guide the development of the Moodle plugin. The appropriateness and effectiveness of the plugin were evaluated within the scope of assessment mapping and design. Focus group interviews were conducted to collect feedback from the instructors and program leaders regarding its implementation.

The results of this study indicate that there is no standardized mechanism to measure course and program ILO objectively, using the existing LMS. The implementation of the plugin shows the appropriateness and effectiveness of the system in generating ILO achievement reports, which was confirmed by the users.

This study proposed a framework and developed a system architecture for the objective measurement of the ILO through direct assessment. The plugin was tested to generate consistent reports during the measurement of course and program ILO. The plugin has been implemented across Gulf University’s program courses, ensuring appropriate reporting and continuous improvement.