Search results

This paper describes the approach to studying leadership within the interpretive paradigm that the author undertook for their doctoral research.

For the study, qualitative data were collected via in-depth interviews and the researcher's systematic reflections. The analytical process consisted of database design and management followed by cyclical interview and cross-interview analyses and integration of the researcher's reflections.

The paper showed that integrating various qualitative methods in pragmatic ways that better align with the research scope, along with a systematic approach to studying complex phenomena—such as leadership—generated richer and more cohesive perspectives.

This paper provides a detailed account of how the qualitative data collection and analysis methods were used, which could be replicated or adapted for future research within the interpretive paradigm.

The paper helps students and junior researchers make sense of qualitative data analysis and interpretation by offering practical tools to tackle the diverse processes of qualitative research.

This paper is based on the Author's doctoral research, recording their experience with engaging in qualitative research.

The purpose of this paper is to propose a new non-parametric phase I control chart for the problem of non-linear profile outlier detection.

The proposed non-parametric method is based on a modified Hausdorff distance, which does not require a restrictive assumption on the form of profiles. By obtaining the distance between each profile and the baseline profile, the authors introduced an iterative optimization clustering algorithm to identify outliers by clustering distances.

The simulation results show that the proposed method can distinguish outliers for structural changes of non-linear profiles. The authors also present a real industrial case example to highlight how practitioners can implement and make use of the proposed control chart in outlier detection applications, and it achieves higher accuracy in the outlier detection of complex profiles.

The research results of this paper can be applied to any manufacturing or service system whose quality characteristics are characterized by non-linear profiles. This new approach provides quality practitioners a better decision-making tool for non-linear profile outlier detection.

Due to the complexity of real-world applications, the non-linear profiles monitoring problem is yet to be addressed. However, the related research still remains rare. And the authors’ proposed non-linear profile control chart, which does not require a restrictive assumption on the form of profiles, shows its applicability and superiority in simulation study and real-world case.

The purpose of this paper is to implement the strategies selection process in a proposed formulated mathematical framework to prioritize selected strategies with the interaction of other groups of strategies, known as the strategies interaction model (SIM).

SWOT analysis is a popular useful strategic planning tool, which analyzes organizations internal and external factors. The traditional SWOT procedure lists internal and external factors and derives four groups of strategies based on the organization’s strategic position. SWOT is easy to use as a business analyzing tool, while it is not competent enough for strategic formulation. With the emergence of the economy’s vicissitudes, undulations in the markets and multiple changes, and various variables in the industrial competitive environment, selection of the organization strategies confront uncertainty in decision making. The SIM framework presents a solution to select alternative strategies for organizations in unpredictable situations.

The findings show that SIM is a reliable approach to evaluate, select and rank organization’ strategies. SIM proposes alternative strategies due to the uncertainty of the organization’ environment with respect to the four strategic positions. The SIM’ proposed ranking process is in accordance with the highest impact of each strategy on each other. Furthermore, it possesses advantages of AHP, ANP and other applied multiple criteria decision-making (MCDM) techniques in SWOT analysis.

In this paper SIM is applied within a dairy company located in the north of Iran.

SIM has the advantages of the classic SWOT and fills the gaps of MCDM methods application in the SWOT analysis. Moreover, it provides a formulated algorithm for the organizations to face the uncertainty of the environment. SIM philosophy can be widely used in the decision and managerial implications.

The purpose of this study is to propose an effective unsupervised one-class-classifier (OCC) support vector machine (SVM)-based single multivariate control chart (OCC-SVM) to simultaneously monitor “location” and “scale” shifts of a manufacturing process.

The step-by-step approach to developing, implementing and fine-tuning the intrinsic parameters of the OCC-SVM chart is demonstrated based on simulation and two real-life case examples.

A comparative study, considering varied known and unknown response distributions, indicates that the OCC-SVM is highly effective in detecting process shifts of samples with individual observations. OCC-SVM chart also shows promising results for samples with a rational subgroup of observations. In addition, the results also indicate that the performance of OCC-SVM is unaffected by the small reference sample size.

The sample responses are considered identically distributed with no significant multivariate autocorrelation between sample observations.

The proposed easy-to-implement chart shows satisfactory performance to detect an out-of-control signal with known or unknown response distributions.

Various multivariate (e.g. parametric or nonparametric) control chart(s) are recommended to monitor the mean (e.g. location) and variance (e.g. scale) of multiple correlated responses in a manufacturing process. However, real-life implementation of a parametric control chart may be complex due to its restrictive response distribution assumptions. There is no evidence of work in the open literature that demonstrates the suitability of an unsupervised OCC-SVM chart to simultaneously monitor “location” and “scale” shifts of multivariate responses. Thus, a new efficient OCC-SVM single chart approach is proposed to address this gap to monitor a multivariate manufacturing process with unknown response distributions.

The research work provides a comprehensive bibliometric analysis on blockchain in general and with respect to trust and reputation management in particular. The research work also incorporates the research progress in Pakistan in the field of blockchain.

The research study is conducted in three phases in which 9 different research questions are assessed for the time duration of 2012–2020 on a total of 9,314 published studies. The source of the research study is from one of the most prestigious databases, the Web of Science (WoS). The scholarly publication includes analysis on WoS categories, annual publication trends, types of documents, research areas, and collaboration network amongst countries, co-word analysis, top 10 countries and top 10 organizations with respect to research publications. The authors use VOSviewer tool to generate collaboration network of countries and co-occurrence network for co-word analysis. The connecting thread among the research question is the overarching research objective of exploring and understanding research out in blockchain. The authors have conducted the research in three phases. Phase 1 is planned to show various quantitative analysis of blockchain worldwide with respect to all 9 questions. In Phase II, prime importance is being given to the trust and reputation management aspect of blockchain. Phase III is concerned with the findings of 9 research questions with Pakistan as the ultimate focus.

Major findings include that China and the USA are the leading countries as they have contributed the most in research field of blockchain. Computer science emerged as the leading research area. The first research article dates back to 2013 with significant rise in publication trend over the last 4 years from 2017–2020. Trust management emerged as one of the key fields where blockchain plays a pivotal role. Pakistan occupies a position in top 20 countries with respect to research contribution. However, in order to rank amongst top 10 research countries, Pakistan needs rapid technological advancement. The immense rise in research publication trend in Pakistan from the year 2019–2020 as compared to prior 2019 era indicates that due focus is being given in the field of blockchain in Pakistan since the last two years.

The authors have considered WoS data source. Therefore, the study is limited to those published scholarly studies which are present in WoS database. More detailed assessment can be performed by analyzing other data resources. The authors have performed analysis based on 9 research questions. However, other parameters can also be included to perform more enhanced and detailed analysis. All types of documents are included in our research work including secondary studies also. However, some authors might not prefer to include all types of documents.

The paper includes implications for the development of trust and reputation management area of blockchain.

The bibliometric analysis is worthy for scholars, researchers and students to help them make better decision in the field of blockchain with respect to various parameters. The study also serves as a motivating factor to conduct research in the area of blockchain with any language as a medium of research.

The application of benefit–cost analysis principles by the Federal Aviation Administration (FAA) to a major infrastructure investment proposal – the expansion of Chicago O’Hare International Airport – is analyzed. The City of Chicago is proposing a major physical expansion of O’Hare Airport, which is but one of the alternative solutions to the high level of passenger delays that are currently experienced. The FAA must approve benefit–cost analyses done by the City in order for it to be eligible for federal funding. In the course of this process, the City has prepared two alternative benefit–cost studies of the proposed expansion. The analytic framework and empirical approach of both analyses is described, the results summarized, and the methods and estimates critiqued. It is concluded that neither study provides an estimate of net national benefits that meets minimal accepted professional standards. Finally, an overall assessment of the federal government process in considering and approving benefit–cost studies is provided, and suggestions for improving this process are offered.

The purpose of this paper is to present a new hybrid approach based on criticality analysis and optimisation to deal with spare parts inventory management in the initial provisioning phase in the mining industry. Spare parts represent a significant part of mining companies' expenditures, so it is important to develop new approaches to reduce the total inventory value of these items.

This hybrid approach combines qualitative and quantitative methods based on VED (vital, essential and desirable) analysis, analytical hierarchical process (AHP), and e-constraint optimisation method to obtain the spare parts to be stocked. The study was applied to a large mining company. The mineral sector was chosen due to the great importance to the emerging Brazilian economy and the lack of researches in this sector. In addition, the spare parts have a relevant weight on the total inventory cost.

Present a novel approach combining multi-objective optimisation and multi-criteria evaluation approaches to tackle the inventory decision in spare parts management. This work also defines and classifies relevant criteria for spare parts management in the mineral sector validated by specialists. The proposed approach achieves an average increase of 20.2% in the criticality and 16.6% in the number of items to be stocked compared to the historical data of the surveyed company.

This paper applies the proposed approach to a mining company in Brazil. Future research in other companies or regions should analyse the adequacy of the criticality criteria, hierarchy and weights adopted in this paper.

The proposed approach is useful for mining industries that deal with a large variety of resource constraints as it helps in formulating appropriate spare part strategies to rationalise financial resources at both tactical and strategic levels.

The paper presents a new hybrid method combining the AHP a multi-criteria decision making (MCDM) approach coupled with e-constraint optimisation to deal with spare parts inventory management allowing for a better spare parts inventory analysis in the initial provisioning phase and providing managers with a systematic tool to analyse the trade-off between spare parts criticality and total inventory value.

The purpose of this paper is to describe the development of an innovative arts-based analysis process within the framework of portraiture methodology. The paper provides an example of how to incorporate multi-modal forms of analysis within the portraiture framework and offers a fluid, qualitative “recipe” for researchers interested in using portraiture methodology.

The study described in this paper explores vulnerability and resilience in teaching, using poetry and visual art as integrated elements of the portraiture process. Portraiture is a qualitative, feminist, artistic methodology that draws from ethnography and phenomenology to describe, understand and interpret complex human experiences.

This research resulted in the methodological development of three stages of analysis within the portraiture process: drafting vignettes, poetic expression and artistic expression. These stages of data analysis highlight the methodological richness of portraiture and center the researcher’s engagement in creative, intuitive and associative processes.

This study contributes to existing scholarship that extends portraiture methodology by including additional aesthetic elements and offers a roadmap for what a multi-modal, arts-based analysis process might look like within the portraiture framework.

The study presented in this paper serves as an example of qualitative research that expands methodological boundaries and centers the role of intuition, association and creativity in research. This work serves as a unique and important contribution to the portraiture literature, offering a provocative roadmap for researchers who are drawn to portraiture as an appropriate methodology to explore their inquiry.

Human space exploration to date has been limited to low Earth orbit and the moon. The International Space Station (ISS) provides a unique opportunity for researchers to prove out the technologies that will enable humans to safely live and work in space for longer periods and venture farther into the solar system. The ability to manufacture parts in-space rather than launch them from earth represents a fundamental shift in the current risk and logistics paradigm for human space exploration. The purpose of this mission is to prove out the fused deposition modeling (FDM) process in the microgravity environment, evaluate microgravity effects on the materials manufactured, and provide the first demonstration of on-demand manufacturing for space exploration.

In 2014, NASA, in cooperation with Made in Space, Inc., launched a 3D printer to the ISS with the goal of evaluating the effect of microgravity on the fused deposition modeling (FDM) process and prove out the technology for use on long duration, long endurance missions where it could leveraged to reduce logistics requirements and enhance crew safety by enabling a rapid response capability. This paper presents the results of testing of the first phase of prints from the technology demonstration mission, where 21 parts where printed on orbit and compared against analogous specimens produced using the printer prior to its launch to ISS.

Mechanical properties, dimensional variations, structural differences and chemical composition for ground and flight specimens are reported. Hypotheses to explain differences observed in ground and flight prints are also developed. Phase II print operations, which took place in June and July of 2016, and ground-based studies using a printer identical to the hardware on ISS, will serve to answer remaining questions about the phase I data set. Based on Phase I analyses, operating the FDM process in microgravity has no substantive effect on the material produced.

Demonstrates that there is no discernable, engineering significant effect on operation of FDM in microgravity. Implication is that material characterization activities for this application can be ground-based.

Summary of results of testing of parts from the first operation of 3D printing in a microgravity environment.

A bureaucratically structured education system employs formal communication to a high degree, since incumbents of the various hierarchical authority levels authorize actions to be undertaken by their subordinates. The process of authorization is here subjected to an analysis in terms of message structure and communication flow. A comparison of the ways in which authorizations are communicated at the various levels of the bureaucratic system leads to a number of hypotheses. It was hypothesized (1) that the mode of communication used by the superordinate Department of Education to authorize the actions of intermediate headteachers will be used in turn by these intermediates to authorize the actions of their subordinate teachers, (2) the prevailing mode of communication employed by the superordinate Education Department to authorize the actions of intermediate headtcachers will be used by intermediates to authorize the actions of their subordinates teachers even in specific cases where exceptions to the prevailing superordinate communication mode are present, and (3) inconsistency or asymmetry between Phase I and Phase II communication modes is a function of the personality of the intermediate role‐incumbent. These hypotheses were tested in a recent study of the communication of authority by headteachers of Queensland State primary schools. The first two hypotheses were supported; because of lack of data the last hypothesis could not be tested.