Virginia Andres and Dongcheol Heo
Complex crises affect tightly coupled systems making them highly unpredictable. This paper aims to determine how organizations learn from their crisis experience shaping their…
Abstract
Purpose
Complex crises affect tightly coupled systems making them highly unpredictable. This paper aims to determine how organizations learn from their crisis experience shaping their knowledge and transformation trajectory toward and beyond survival. A theoretical framework integrating organizational learning (OL) and knowledge management in organizational transformation (OT) in complex crises is presented.
Design/methodology/approach
This conceptual paper presents a systematic literature review on OT in crisis from 2000 to 2021. To achieve integration, the authors searched for studies on OT, knowledge management and OL, each paired with a crisis.
Findings
Crises highlight the emergent and decentered nature of knowing and organizing. This study suggests that OT is achieved through various changes in organizational knowledge. Different learning modes enable the transformation of knowledge in a crisis: contextual or situated learning, strategic and collective integration.
Research limitations/implications
The authors' pandemic experience may have influenced the analysis. This paper does not account for new types of learning emerging due to the influence of digital technologies.
Practical implications
Organizations may hasten renewal through distributed crisis management facilitated by contextual and strategic learning and collective integration.
Originality/value
This study categorizes learning, based on its function in crisis management, into three types: contextual learning for creative problem-solving, strategic learning for leadership and direction and collective integration to evaluate their crisis journey. Through this classification, this study sheds light on the types of knowledge needed to manage crises effectively, showing that organizations can leverage their crises by transforming and innovating themselves in this turbulent period.
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Xiaoli Liao Etienne, Andrés Trujillo-Barrera and Seth Wiggins
The purpose of this paper is to investigate the price and volatility transmission between natural gas, fertilizer (ammonia), and corn markets, an issue that has been traditionally…
Abstract
Purpose
The purpose of this paper is to investigate the price and volatility transmission between natural gas, fertilizer (ammonia), and corn markets, an issue that has been traditionally ignored in the literature despite its significant importance.
Design/methodology/approach
The authors jointly estimate a vector error correction model for the conditional mean equation and a multivariate generalized autoregressive heteroskedasticity model for the conditional volatility equation to investigate the interactions between natural gas, ammonia, and corn prices and their volatility.
Findings
The authors find significant interplay between fertilizer and corn markets, while only a mild linkage in prices and volatility exist between those markets and natural gas during the period 1994-2014. There is not only a positive relationship between corn and ammonia prices in the short run, but both prices react to deviations from the long-run parity. Furthermore, the lagged conditional volatility of ammonia prices positively affects conditional volatility in the corn market and vice versa. This result is robust to a specification using crude oil price as an alternative to natural gas price to account for the large transportation cost built into ammonia prices. Results for the period of 2006-2014 indicate virtually no linkage between natural gas prices and those of fertilizer and corn during that period, while linkages in price level and volatility between the latter remain strong.
Originality/value
This paper is the first in the literature to comprehensively examine the role of fertilizer on corn prices and volatility, and its relation to natural gas prices.
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Ernesto Tavoletti and Vas Taras
This study aims to offer a bibliometric analysis of the already substantial and growing literature on global virtual teams (GVTs).
Abstract
Purpose
This study aims to offer a bibliometric analysis of the already substantial and growing literature on global virtual teams (GVTs).
Design/methodology/approach
Using a systematic literature review approach, it identifies all articles in the Web of Science from 1999 to 2021 that include the term GVTs (in the title, the abstract or keywords) and finds 175 articles. The VOSviewer software was applied to analyze the bibliometric data.
Findings
The analysis revealed three dialogizing research clusters in the GVTs literature: a pioneering management information systems and organizational cluster, a general management cluster and a growing international management and behavioural studies cluster. Furthermore, it highlights the most cited articles, authors, journals and nations, and the network of strong and weak links regarding co-authorships and co-citations. Additionally, this study shows a change in research patterns regarding topics, journals and disciplinary approaches from 1999 to 2021. Finally, the analysis illustrates the position and centrality in the network of the most relevant actors.
Practical implications
The findings can guide management practitioners, educators and researchers to the most meaningful clusters of publications on GVTs, and help navigate and make sense of the vast body of the available literature. The importance of GVTs has been growing in the past two decades, and Covid-19 has accelerated the trend.
Originality/value
This study provides an updated and comprehensive systematic literature review on GVTs. To the best of the authors’ knowledge, it is also the first systematic literature review and bibliometry on GVTs. It concludes by suggesting future research paths.
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Mario Perhinschi, Dia Al Azzawi, Hever Moncayo, Andres Perez and Adil Togayev
This paper aims to present the development of prediction models for aircraft actuator failure impact on flight envelope within the artificial immune system (AIS) paradigm.
Abstract
Purpose
This paper aims to present the development of prediction models for aircraft actuator failure impact on flight envelope within the artificial immune system (AIS) paradigm.
Design/methodology/approach
Simplified algorithms are developed for estimating ranges of flight envelope-relevant variables using an AIS in conjunction with the hierarchical multi-self strategy. The AIS is a new computational paradigm mimicking mechanisms of its biological counterpart for health management of complex systems. The hierarchical multi-self strategy consists of building the AIS as a collection of low-dimensional projections replacing the hyperspace of the self to avoid numerical and conceptual issues related to the high dimensionality of the problem.
Findings
The proposed methodology demonstrates the capability of the AIS to not only detect and identify abnormal conditions (ACs) of the aircraft subsystem but also evaluate their impact and consequences.
Research limitations/implications
The prediction of altered ranges of relevant variables at post-failure conditions requires failure-specific algorithms to correlate with the characteristics and dimensionality of self-projections. Future investigations are expected to expand the types of subsystems that are affected and the nature of the ACs targeted.
Practical implications
It is expected that the proposed methodology will facilitate the design of on-board augmentation systems to increase aircraft survivability and improve operation safety.
Originality/value
The AIS paradigm is extended to AC evaluation as part of an integrated and comprehensive health management process system, also including AC detection, identification and accommodation.
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Anthony Olukayode Yusuf, Adedeji Afolabi, Abiola Akanmu, Homero Murzi, Andres Nieto Leal, Sheryl Ball and Andrea Ofori-Boadu
There is a growing mismatch between the skill demands of the industry and the offerings of academia. One way of reducing this mismatch is by improving collaborations between…
Abstract
Purpose
There is a growing mismatch between the skill demands of the industry and the offerings of academia. One way of reducing this mismatch is by improving collaborations between practitioners and instructors using web-networking platforms. However, it is important to understand practitioners’ considerations while collaborating with instructors. Therefore, this study identified these considerations in order to infer inputs for the design of the graphical user interface (GUI) of a web-based platform for connecting instructors and practitioners.
Design/methodology/approach
A mixed method was adopted through a survey and focus group. A survey was used to capture practitioners’ considerations while collaborating with instructors for student development, and a focus group helped uncover an in-depth understanding of the study phenomena. The data were analyzed using descriptive and inferential statistics and thematic analysis.
Findings
The results show the willingness of practitioners to collaborate with instructors for student development, the ways by which practitioners are willing to meet instructors' course-support needs and their considerations in deciding to do so. Slight differences were observed between the results of the survey and the focus group regarding the ranking of the practitioners’ considerations. The study highlighted demographic differences in practitioners’ considerations when deciding on meeting instructors' course-support needs. The results provide a basis to deduce the GUI inputs of web-networking platforms for connecting instructors and practitioners.
Originality/value
This study revealed practitioners’ design needs and GUI inputs to facilitate the design of web-networking platforms for connecting instructors and practitioners. This study also contributes to user interface design principles, theories on individual differences and practitioners’ involvement in student professional development.
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Sasha Westropp, Virginia Cathro and André M. Everett
Understanding expatriate performance, suitability, selection and development have long been identified as critical to international human resource management (IHRM). The authors…
Abstract
Purpose
Understanding expatriate performance, suitability, selection and development have long been identified as critical to international human resource management (IHRM). The authors explore how adult third culture kids (ATCKs) see themselves in regard to their future capacity to successfully engage in international assignments. This paper aims to confirm research suggesting ATCKs may indeed be invaluable to international organisations but that organisations might re-evaluate the form of IHRM support offered.
Design/methodology/approach
In-depth interviews with a small sample of ATCKs are used in an exploratory qualitative study.
Findings
The ATCKs see themselves as a genuine source of exceptionally capable, expatriate talent on the basis of their prior international experience in childhood and the capacity to socio-culturally adapt in a chameleon-like manner. This paper confirms research suggesting ATCKs may indeed be invaluable to international organisations but that organisations might re-evaluate the form of IHRM support offered. However, the flip-side of these self-perceptions is that they may appear rootless and restless, may be self-centred rather than organisationally oriented, and may voluntarily isolate themselves from more traditional expatriates instead opting to immerse themselves in the local host country scene.
Research limitations/implications
The findings are based on a small sample, and future research embracing a range of methodologies is envisaged.
Practical implications
The findings offer insights for practitioners and researchers, and ATCKs with reference to the selection of international assignment and performance management of ATCKs.
Originality/value
While some scholars have suggested that ATCKs may be ideal expatriate talent, the findings give focus to what might retain this talent in an organisation and suggests a future research agenda.
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Adil Togayev, Mario Perhinschi, Hever Moncayo, Dia Al Azzawi and Andres Perez
This paper aims to describe the design, development and flight-simulation testing of an artificial immune-system-based approach for accommodation of different aircraft sub-system…
Abstract
Purpose
This paper aims to describe the design, development and flight-simulation testing of an artificial immune-system-based approach for accommodation of different aircraft sub-system failures/damages.
Design/methodology/approach
The approach is based on building an artificial memory, which represents self- (nominal conditions) and non-self (abnormal conditions) within the artificial immune system paradigm. Self- and non-self are structured as a set of memory cells consisting of measurement strings, over pre-defined time windows. Each string is a set of features values at each sample time of the flight. The accommodation algorithm is based on the cell in the memory that is the most similar to the in-coming measurement. Once the best match is found, control commands corresponding to this match are extracted from the memory and used for control purposes.
Findings
The results demonstrate the possibility of extracting pilot compensatory commands from the self/non-self structure and capability of the artificial-immune-system-based scheme to accommodate an actuator malfunction, maintain control and complete the task.
Research limitations/implications
This paper concentrates on investigation of the possibility of extracting compensatory pilot commands. This is a preliminary step toward a more comprehensive solution to the aircraft abnormal condition accommodation problem.
Practical implications
The results demonstrate the effectiveness of the proposed approach using a motion-based flight simulator for actuator and sensor failures.
Originality/value
This research effort is focused on investigating the use of the artificial immune system paradigm for control purposes based on a novel methodology.
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Anbesh Jamwal, Rajeev Agrawal, Monica Sharma, Anil Kumar, Vikas Kumar and Jose Arturo Arturo Garza-Reyes
The role of data analytics is significantly important in manufacturing industries as it holds the key to address sustainability challenges and handle the large amount of data…
Abstract
Purpose
The role of data analytics is significantly important in manufacturing industries as it holds the key to address sustainability challenges and handle the large amount of data generated from different types of manufacturing operations. The present study, therefore, aims to conduct a systematic and bibliometric-based review in the applications of machine learning (ML) techniques for sustainable manufacturing (SM).
Design/methodology/approach
In the present study, the authors use a bibliometric review approach that is focused on the statistical analysis of published scientific documents with an unbiased objective of the current status and future research potential of ML applications in sustainable manufacturing.
Findings
The present study highlights how manufacturing industries can benefit from ML techniques when applied to address SM issues. Based on the findings, a ML-SM framework is proposed. The framework will be helpful to researchers, policymakers and practitioners to provide guidelines on the successful management of SM practices.
Originality/value
A comprehensive and bibliometric review of opportunities for ML techniques in SM with a framework is still limited in the available literature. This study addresses the bibliometric analysis of ML applications in SM, which further adds to the originality.
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Balashankar Mulloth and Stefano Rumi
Despite the prevalence of academic literature debating and proposing competing conceptions of social value creation through socially driven enterprises, there is a lack of…
Abstract
Purpose
Despite the prevalence of academic literature debating and proposing competing conceptions of social value creation through socially driven enterprises, there is a lack of empirical studies on established impact measurement methodologies in the context of real-world ventures. The purpose of this paper is to illustrate a structured process of conducting social impact assessments (SIAs) through the real-world case of Richmond, Virginia Works Enterprise Support (RVA Works), a social enterprise in Richmond, Virginia, that provides educational programming on small business ownership to minorities and lower-income individuals.
Design/methodology/approach
This qualitative research study incorporates an in-depth case study methodology. Evidence was collected through interpretive/qualitative interviews and direct observations by the researchers.
Findings
Using the example of RVA Works, the authors show that there is a lack of standardization and guidance for social entrepreneurs in choosing methods to assess their organizational performance, and that leading conceptions of social impact continue to face key weaknesses in their methodologies.
Practical implications
By incorporating a qualitative case study approach, the authors present a real-world study of a social enterprise – specifically a microenterprise development organization – that may serve as a valuable example to social entrepreneurs and not-for-profit leaders facing similar challenges of social value creation and impact measurement.
Originality/value
In studying the experience of conducting SIAs by social enterprises, the authors illustrate the real-world challenges faced by entrepreneurs in applying theoretical conceptions of social value to the outcomes of their ventures, thus illustrating a need for additional clarity and discussion around a more comprehensive, standardized and broadly applicable measurement approach.