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In recent years, many firms have rediscovered the importance of scheduling on the shopfloor. Within the manufacturing functions, scheduling remains among the most important and challenging tasks that must be performed routinely. Developing a schedule involves designating the resources needed to execute each operation of the process routeing plan and assigning the times at which each operation in the routeing will start and finish execution. The trend of current scheduling technology is towards a combination of the three common approaches; OR‐based, simulation‐based and AI‐based. Presents a hybrid approach using simulation‐based scheduling and a neural network to solve the detailed scheduling problem. Develops the neural network to analyse the complex information as well as orders coming on the shopfloor, and suggests candidate scheduling rules to the simulation model. The simulation model then uses the rules to schedule the orders on hand. The work is set against a backdrop of a currently operating flexible manufacturing cell.

The purpose of this paper is to characterize sustainable development and sustainability as study objects for comparative management theory.

The primary objective of this paper is to characterize sustainable development and sustainability as study objects for comparative management theory.

Analytical dimensions were related to establishing three proposals, which represent possible theoretical routes for characterizing sustainable development and sustainability as study objects for comparative management theory. A framework which illustrates the theoretical route taken to develop these proposals is presented at the end of the theoretical-analytical discussions.

This paper considers that discussion about sustainable development, sustainability and comparative management theory, as interesting themes for organizational studies, lack epistemological clarity and theoretical depth. Such shortcomings are identified based upon the difficulty in identifying ontological postures, epistemological perspectives, dominant paradigms and conceptual approaches that enable greater coherence to analysis of these themes, and also support the undertaking of research that can contribute to enriching proposals related to comparative management theory.

This is an innovative paper as it relates comparative management theory approaches with structural concepts from sustainable development and sustainability developed using contributions from organizational theories, sociological reflections, and political science. The proposed characterization is intended to blaze new and alternative epistemological paths for adding greater rigor to empirical research focussed on the relationship investigated here in a theoretical context.

This paper aim to propose a methodological mapping approach for the evaluation of dissertations and theses of graduate programs in the area of environmental sciences in Brazil in relation to the UN sustainable development goals (SDGs).

The research is characterized as exploratory with qualitative/quantitative approach. The proposed model was developed as a computational algorithm with a pilot being adopted as a professional master in national network for teaching in environmental sciences (ProfCiAmb) comprising associated courses from nine Brazilian public universities. 230 dissertations completed between 2018 and 2020 were analyzed.

A total of 266 correlations were identified between the texts and descriptors of each SDG. Correlation values between 0.100 (minimum value – Vmin) and 0.464 (maximum value – Vmax) were observed. SDG 4 – Quality Education (Vmax = 0.399) and SDG 6 – Drinking Water and Sanitation (Vmax = 0.464) were those with the highest correlation values, followed by SDG 3 – Health and Well-Being (Vmax = 0.299) and SDG 17 – Partnerships and Means of Implementation (Vmax = 0.249).

The construction of the computational algorithm provided consistent quantitative analyses with potential to contribute to the improvement of the multidimensional evaluation of graduate studies, as well as to support public policies related to teaching and research and strategic planning of the programs.

The relevance of this study lies in the creation of a model that involves the creation of metrics and tools regarding the impact of graduate studies on society.

The ramp-up in humanitarian logistics operations is a stage when the demand surges, often at the start of an emergency. In response, agility is a key strategy used by the humanitarian organizations (HOs). However, the HOs are constrained by their existing resources and have to respond in the ramp-up process under their resource dependency. The purpose of this paper is to develop a framework on agility-building strategies used by HOs for the ramp-up.

This study applies both the dynamic capabilities perspective and resource dependence theory to humanitarian relief operations, and develops four testable propositions to explore the agility-building strategies of the HOs for the ramp-up process. A multiple-case study is conducted on six international HOs operating in Indonesia to verify them, in addition to an extensive literature search.

The case study shows that the human resource management, pre-positioning, standardization and supplier management of the HOs are all related to their resources and environment in the ramp-up process. The authors highlight the practical differences between the few super large, resource rich and centralized HOs with the second-tier HOs.

Given the small sample size and single country as the site of study, some findings may not be applicable to the other HOs or in other regions.

The propositions could be applicable to other HOs operating under similar environments, and potentially to the commercial enterprises operating in a highly volatile environment with severe resource scarcity.

This study provides new insights into ramp-up operations and into how HOs build their agility and reduce their resource dependencies. Theoretically, the paper applies two established theories in the strategic management literature to a new field.

Academic corruption and fraudulent practices have become problematic in recent years. Governments around the world have introduced dedicated higher education commissions to regulate higher education providers. The purpose of this paper is to design a system for the detection and prevention framework of fraudulent behaviour in higher education.

This paper performs a survey on academic misconduct practices and expands the survey by analysing the accreditation process. This study further identifies common corrupt practices in the accreditation process with reference to particular accreditation standards or laws. If the accreditation process is as thorough as, this paper is led to believe, a higher institute may stop being compliant immediately after the accreditation process. playing a catch-me-if-you-can at the next accreditation cycle. The survey of the accreditation process and identification of corrupt practices lead to an identification of preventative and detective measures.

The review of accreditation procedures and conditions identifies that fraudulent practices can occur at every part of any policy and procedure. The framework prevents repudiation and allows for spontaneous investigations internally and externally. The blockchain prevented changes to the system and allow for auditing of changes. A system such as this could suppress accreditation fraud and minimise its corrupt impact. Not to mention identify with relative ease the severity and life of corrupt practice.

Contributions are made in the framework for detecting and preventing corrupt practices in Higher Education using blockchain immutable transactions. This enables real-time accreditation compliance checks and monitoring of conditions. External complaints or reviews can be conducted with minimum interactions from higher education providers.

In this Industry 4.0 era, third-party logistics (3PL) industries face huge cost pressure to deliver their service. With increase in competition among the players, constant mergers and acquisitions (M&A) have been taking place to sustain competitive advantage. Therefore, this study aims to investigate the growth dynamics among the 3PL service providers.

In this research, the system dynamics methodology was applied to the study of the growth of 3PL industry in Singapore. A population growth model incorporating the predator–prey interaction is developed to account for growth through M&As among 3PLs and their interaction phenomenon are modeled through modified Lotka–Volterra method. The two-species system model consisting of small and medium logistics service providers (SMLSPs as the prey) and the lead logistics providers (LLPs as the predator) are gauged according to the firm size.

Results from the baseline model indicates that Singapore’s logistics industry looks very optimistic for SMLSPs for another 6 years from 2018, while the LLP population will achieve a peak at about 12 years from 2018. Further sensitivity analysis through macroeconomic and microeconomic changes reveals increase in trend of M&As. By varying competitive pressures between firms, results indicate that the LLP population experiences a decreasing rate of increasing SMLSP population falls.

The research provides guidance for logistics and supply chain managers to better understand the critical factors that impact and determine competitive dynamics. The paper further recommends managers to build sustainable logistics strategies to retain competitive advantages.

The research contributes to both economic and social dimensions of logistics sustainability of how resilient the industries are during uncertain conditions. Some of the limitations of this research include the geographic coverage of the study region and other methodological aspects. The research value thus helps policymakers for developing strategic policies for sustainable industrial growth.

Political correctness, also known as “PC,” has generated much discussion on both the Right and the Left. The greatest debate comes from college campuses. Political correctness derives from the principle that ethnic diversity, i.e., multiculturalism, can and should be preserved and protected. Ironically, the term originated in the Marxist era, when it was used to enforce conformity in the advancement of a particular Marxist view. The term became obsolete until it was revived in the 1980s (D'Souza, 1991).

This study aims at verifying the impact of literacy on over-the-counter (OTC) drug consumer vulnerability as evaluated by health literacy and label comprehension.

The item response theory (IRT) was used to estimate the health literacy of two groups and the two-way analysis of variance tests was used to test the hypotheses for the existence of mean differences between the two populations. The convenience sample involved 188 OTC consumers: 94 (50%) poorly literate and 94 (50%) university students/graduates.

University consumers/graduates have a level of health literacy and label comprehension that is superior to those presented by poor literate consumers. Also, age does not influence the level of health literacy by OTC drug users but has a significant impact on the understanding of OTC drug labels. Finally, the level of schooling and the “age group,” simultaneously, does not impact the understanding of OTC drug labels or health literacy.

This study has added in the field of knowledge by investigating the behavior of poor literate consumers in Brazil, a developing country. The results may be relevant to Marketing professionals, especially those in the pharmaceutical industry, and to police makers, as they help identify the main problems faced by poorly literate consumers.

It is necessary to raise awareness of the dangers of self-medication and wrong use of medications, mainly focused on people with low literacy. As a suggestion, a simple glossary presented along with the label could provide explanations of scientific terms, thus increasing health literacy and reducing the vulnerability of the consumers.

This study showed that when using common words such as gastritis to define a health problem, there is a higher degree of correctness. These results suggest the adoption of a more straightforward language and more precise explanations. By doing that, the pharmaceutical industry and policymakers will improve their social impact by increasing consumer power and taking care of the health of the most vulnerable population: the illiterate people.

This study contributes to the international literature, as it enhances and clarifies the knowledge about the customers’ power and vulnerability in developing countries. It fills a gap by evaluating label comprehension and heath literacy at the same time, giving an academic contribution for pharmaceutical consumers’ studies.

The experiences of conservative students in universities have garnered increased attention in recent years. This paper presents the results of recent research on the campus of a large Southeastern university. Situated in a small Southeastern college town, the university in question is home to a College of Education that attempts to maintain the spirit and tradition of progressive education. However, the College also serves a population that includes many conservative communities and individuals. This research is the result of a focus group interview with eight self-defined conservative students at the College of Education and an analysis of official recruitment and orientation documents. The investigation’s findings support the need to clarify the recruitment procedures and curriculum of the institution in order to assist conservative students entering a progressive institution, while at the same time, challenging all students, including those with conservative views, to take part in a rigorous intellectual environment.

The purpose of this paper is to analyze the difficulties observed during implementation of quality management systems (QMSs) in Brazilian manufacturing companies.

The methodological strategy used was a literature review, a panel of experts and a survey. Through the literature review, 15 difficulties associated with the implementation of QMS were raised; these were organized into latent variables by specialists in the subject and served as the basis for a survey. In total, 123 professionals working with quality management in manufacturing companies participated in the research and the data collected were analyzed by means of second-order confirmatory factorial analysis.

The results allowed the validation of the 15 difficulties observed in the literature, and it was evidenced that these difficulties are structured in four latent variables as follows: difficulties associated with employees; difficulties associated with QMS structuration; difficulties associated with integration; and difficulties resulting from the planning.

The main limitation of this research is the sample size, because 123 professionals that work with quality management in manufacturing companies participated in the research. It should be noted, however, that all parameters evaluated through the second-order confirmatory factorial analysis were validated.

The findings have great value for both quality management professionals, who may use those findings to guide the pre-implementation phase of a QMS, and researchers, who may use those findings as a foundation for future studies, in the development of models or tools related to QMS implementation.

No other paper was found on the scientific basis with the same focus for Brazilian manufacturing companies, thus demonstrating originality. The value of the research lies in the fact that the results presented here, statistically validated, may be used by other researchers and market professionals.