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1 – 10 of 55The aim of this chapter is to define and explore the group of emotions known as self-conscious emotions. The state of the knowledge on guilt, shame, pride, and embarrassment is…
Abstract
The aim of this chapter is to define and explore the group of emotions known as self-conscious emotions. The state of the knowledge on guilt, shame, pride, and embarrassment is reviewed, with particular attention paid to research on these four self-conscious emotions in work and organizational settings. Surprisingly little research on self-conscious emotions comes from researchers interested in occupational stress and well-being, yet these emotions are commonly experienced and may be a reaction to or even a source of stress. They may also impact behaviors and attitudes that affect stress and well-being. I conclude the review with a call for more research on these emotions as related to stress and well-being, offering some suggestions for areas of focus.
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Ankur Chauhan, Suresh Kumar Jakhar and Sachin Kumar Mangla
During pre-vaccine era, pharmaceutical supplies [self-care essentials (SCEs)] have been proved to be a major deflector, protector and safety guard against novel coronavirus…
Abstract
Purpose
During pre-vaccine era, pharmaceutical supplies [self-care essentials (SCEs)] have been proved to be a major deflector, protector and safety guard against novel coronavirus disease (COVID-19). Hence, the objective of the study is to provide a comprehensive socio-technological decision-making framework based on multiple criteria for selecting the suppliers of pharmaceuticals, such as SCEs, by multi-brand enterprises (distributors) in the pandemic environment.
Design/methodology/approach
A hybrid methodology of Bayesian best worst method (BWM) and multi-attributive border approximation area comparison (MABAC) method has been applied for carrying out the study. Bayesian BWM has been applied for computing the importance of criteria identified for the selection of SCEs' suppliers during pandemic environment and MABAC method evaluated the suppliers of the SCEs.
Findings
In the study, the authors have identified eight criteria such as disinfection and sanitization of vehicles, social conscience of suppliers, brand (Technological recognition) of SCEs and logistics and distribution network, among others, which are critical to the selection of a supplier for the supply of SCEs. The application of the proposed hybrid model revealed that lead time and quality of SCEs are of utmost concern for pharmacies in a pandemic environment. Among the ten suppliers, results showed that Suppliers 2, 4 and 5 have been ranked first for supplying hand wash, hand sanitizer and face mask, respectively.
Practical implications
The proposed model has helped the multi-brand distributors of pharmaceuticals in selecting suppliers during the ongoing crisis of COVID-19. In addition to that, in future the outcomes of the study would be helpful for multi-brand distributors as well as pharmacies and hospitals in selecting the best suppliers. Policy makers will be able to make and revise the policies immediately with the help of the proposed decision-making framework.
Originality/value
The paper makes a novel contribution towards theory with the criteria identified for selecting best suppliers during the pandemic COVID-19. Additionally, the proposed hybrid model helps multi-brand distributors of pharmaceuticals in making decisions that lead to a huge social and economic success in pandemic time.
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Hui Lu, Junxiong Qi, Jue Li, Yong Xie, Gangyan Xu and Hongwei Wang
In shield tunneling projects, human, shield machine and underground environment are tightly coupled and interacted. Accidents often occur under dysfunctional interactions among…
Abstract
Purpose
In shield tunneling projects, human, shield machine and underground environment are tightly coupled and interacted. Accidents often occur under dysfunctional interactions among them. Therefore, this paper aims to develop a multi-agent based safety computational experiment system (SCES) and use it to identify the main influential factors of various aspects of human, shield machine and underground environment.
Design/methodology/approach
The methods mainly comprised computational experiments and multi-agent technologies. First, a safety model with human-machine-environment interaction consideration is developed through the multi-agent technologies. On this basis, SCES is implemented. Then computational experiments are designed and performed on SCES for analyzing safety performance and identifying the main influential factors.
Findings
The main influential factors of two common accidents are identified. For surface settlement, the main influential factors are ranked as experience, soil density, soil cohesion, screw conveyor speed and thrust force in descending order of influence levels; for mud cake on cutter, they are ranked as soil cohesion, experience, cutter speed and screw conveyor speed. These results are consistent with intuition and previous studies and demonstrate the applicability of SCES.
Practical implications
The proposed SCES provides comprehensive risk factor identification for shield tunneling projects and also insights to support informed decisions for safety management.
Originality/value
A safety model with human-machine-environment interaction consideration is developed and computational experiments are used to analyze the safety performance. The novel method and model could contribute to system-based safety research and promote systematic understanding of the safety performance of shield tunneling projects.
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Sita Mishra, Tapas Ranjan Moharana and Ravi Chatterjee
This research aims to examine how consumer minimalism (CM), self-conscious feelings (such as consumer guilt (CG) and consumer pride (CP)) and the inclination to use rental…
Abstract
Purpose
This research aims to examine how consumer minimalism (CM), self-conscious feelings (such as consumer guilt (CG) and consumer pride (CP)) and the inclination to use rental services interact. It also looks at how attitudes toward pro-environmental advertisements affect these relationships as a moderator, recognizing the importance of pro-environmental advertising in influencing consumer behavior.
Design/methodology/approach
This study employed a quantitative methodology to investigate the aforementioned associations. Survey questionnaires are used to collect data, which is then analyzed using AMOS 25 and Process Macro to generate meaningful insights.
Findings
The findings indicate that the willingness to use rental services is directly associated with CM, while self-conscious emotions (SCEs) play the role of a mediator in this relationship.
Research limitations/implications
It is essential to recognize the limitations of this study. There may be other variables at play, but the research focuses on SCEs (CG and CP) and their role as mediators. The findings must be interpreted based on the selected research methodology and sample size. Future research could investigate additional variables and enlarge the sample size to increase generalizability.
Practical implications
Targeted marketing can leverage CM, SCEs and willingness to use rental services. Recognizing the moderating effect of attitude toward pro-environmental advertisements can help create more effective campaigns promoting environmental behavior.
Originality/value
Underpinned by SCEs, the current study is one of the initial studies to explain how CM encourages responsible environmental behavior through access-based consumption models.
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Niki Glaveli and Konstantinos Geormas
The purpose of this paper is to deepen and expand our understanding on how strategic/market orientation (SO/MO) and a cohesive/shared social vision affect performance in the…
Abstract
Purpose
The purpose of this paper is to deepen and expand our understanding on how strategic/market orientation (SO/MO) and a cohesive/shared social vision affect performance in the social enterprise (SE) context.
Design/methodology/approach
A survey was conducted in Greek SEs. Stepwise and simple regression analyses were applied in order to test the hypothesized relationships among the study variables. Additionally, Baron and Kenny’s (1986) recommendation for exploring mediating effects was followed.
Findings
The results indicate the crucial role of customer orientation dimension of SO/MO in enhancing commercial effectiveness and subsequently profitability, whilst a cohesive/shared vision was found to have positive direct associations with the social effectiveness and profitability elements of SEs performance. Moreover, the findings provide some indications for the mutually reinforcing relationship between the social and commercial aspects of SEs functioning.
Originality/value
The current paper contributes to the ongoing quest to understand the strategic management element of SEs and the challenge they face in managing rival logics. Also, it addresses the gap related to the type (mainly qualitative) and geographical concentration of SE research.
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Nick Bontis, Massimo Ciambotti, Federica Palazzi and Francesca Sgro
The purpose of this paper is to provide empirical evidence of the relationship between intellectual capital (IC) and economic performance, with focus on social cooperative…
Abstract
Purpose
The purpose of this paper is to provide empirical evidence of the relationship between intellectual capital (IC) and economic performance, with focus on social cooperative enterprises (SCEs) that work in non-profit sectors.
Design/methodology/approach
A survey was developed and administered in Italy. A final sample of 151 SCEs participated in the study. Data were collected on IC measures, social enterprise activities and economic and mission-based performance outcomes.
Findings
Two hypotheses that proposed a positive association between IC sub-components (i.e. human capital, structural capital and relational capital) and the economic and mission-based performance of SCEs were tested. Findings highlight that human capital contributes to explain economic performance which is positively affected by the presence of graduate employees and value added per employee. However, economic performance is negatively affected by the yearly training per employee. In addition, human and relational capital contribute to explain mission-based performance which is positively affected by yearly training, the value added per employee and the quality of relationships with customers. However, mission-based performance is negatively affected by the relationships’ quality with the reference territorial community. Therefore, relational capital would seem to affect only mission-based performance, and human capital influences both dimensions of corporate performance. Structural capital does not affect social cooperatives’ performance.
Practical implications
Some of the results in this study are particular to this research setting. It is therefore important for senior leaders of SCEs to take the results of general IC literature with a grain of salt. Whereas most of the academic literature generally supports the positive relationship of all IC sub-components (i.e. human, structural and relational capital) with performance outcomes, this is not the case in this particular study.
Originality/value
This is the first empirical study that has examined the linkages between IC sub-components and performance outcomes in SCEs in Italy.
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G. Packham, C.J. Miller, B.C. Thomas and D. Brooksbank
Entrepreneurship and small business development has been subject to a considerable amount of academic speculation. Previous studies contend that small fast growth firms are more…
Abstract
Entrepreneurship and small business development has been subject to a considerable amount of academic speculation. Previous studies contend that small fast growth firms are more likely to have developed or acquired managerial practices in areas such as human resource management, finance and marketing. Despite this evidence there is little known as to why growing construction firms adopt key management practices. This paper examines how small growth oriented construction firms have adopted management practices to sustain growth. A group interview technique was utilized to examine the management development process within small construction firms in the South Wales area. The research revealed that while management practices such as marketing, financial management and planning had been implemented to facilitate growth, the importance of these practices often varied across firms. Nevertheless, firms that continued to be growth oriented were more inclined to consider the strategic benefits that certain practices provide. Based on these findings the paper concludes that management training initiatives aimed at improving firm development in the construction industry must be tailored to fit the strategic goals of the firm if they are to engender sustainable growth.
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Srikanta Routroy, Aayush Bhardwaj, Satyendra Kumar Sharma and Bijay Kumar Rout
The purpose of this paper is to evaluate the agility performance level of manufacturing supply chains using Taguchi loss functions (TLFs) and design of experiment (DoE).
Abstract
Purpose
The purpose of this paper is to evaluate the agility performance level of manufacturing supply chains using Taguchi loss functions (TLFs) and design of experiment (DoE).
Design/methodology/approach
The proposed methodology is used for capturing the various agility losses using appropriate TLFs and the aggregated agility loss is calculated at different situations using DoE. The aggregated agility loss is analysed for comparing manufacturing supply chain agility performance.
Findings
The proposed methodology was applied to three Indian auto component supply chains, i.e. X, Y and Z. In total, 27 experiments were carried out using DoE and obtained results show that agility performance level is the highest for X followed by Z, whereas agility performance level is the least for Y.
Research limitations/implications
The proposed methodology is generic in nature and can be applied to a specific environment for comparing performance of different supply chains. The user has to identify the relevant agility enablers and capture the appropriate TLFs for the specific environment in which agility performance level has to be calculated and compared.
Practical implications
The proposed methodology provides an effective approach for evaluating agility performance. It can be used by the supply chain manger to assess the supply chain agility performance level of own company with its competitors. These comparisons will help the manufacturing company to find the areas where it should focus.
Originality/value
Many studies and researches related to implementation and evaluation of agile manufacturing are reported in the literature but very few studies are available for evaluating the supply chain agility performance. This study will definitely provide a guideline for measuring and comparing manufacturing supply chain agility performance in general and Indian automotive supply chain in specific.
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Gustavo Cesário, Ricardo Lopes Cardoso and Renato Santos Aranha
This paper aims to analyse how the supreme audit institution (SAI) monitors related party transactions (RPTs) in the Brazilian public sector. It considers definitions and…
Abstract
Purpose
This paper aims to analyse how the supreme audit institution (SAI) monitors related party transactions (RPTs) in the Brazilian public sector. It considers definitions and disclosure policies of RPTs by international accounting and auditing standards and their evolution since 1980.
Design/methodology/approach
Based on archival research on international standards and using an interpretive approach, the authors investigated definitions and disclosure policies. Using a topic model based on latent Dirichlet allocation, the authors performed a content analysis on over 59,000 SAI decisions to assess how the SAI monitors RPTs.
Findings
The SAI investigates nepotism (a kind of RPT) and conflicts of interest up to eight times more frequently than related parties. Brazilian laws prevent nepotism and conflicts of interest, but not RPTs in general. Indeed, Brazilian public-sector accounting standards have not converged towards IPSAS 20, and ISSAI 1550 does not adjust auditing procedures to suit the public sector.
Research limitations/implications
The SAI follows a legalistic auditing approach, indicating a need for regulation of related public-sector parties to improve surveillance. In addition to Brazil, other code law countries might face similar circumstances.
Originality/value
Public-sector RPTs are an under-investigated field, calling for attention by academics and standard-setters. Text mining and latent Dirichlet allocation, while mature techniques, are underexplored in accounting and auditing studies. Additionally, the Python script created to analyse the audit reports is available at Mendeley Data and may be used to perform similar analyses with minor adaptations.
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Tofigh Hamidavi, Sepehr Abrishami, Pasquale Ponterosso, David Begg and Nikos Nanos
The paper aims to leverage the importance of the integrated automatic structural design for tall buildings at the early stage. It proposes to use an automatic prototype to perform…
Abstract
Purpose
The paper aims to leverage the importance of the integrated automatic structural design for tall buildings at the early stage. It proposes to use an automatic prototype to perform the structural design, analysis and optimisation in a building information modelling (BIM)-based platform. This process starts with extracting the required information from the architectural model in Revit Autodesk, such as boundary conditions and designs different options of the structural models in Robot Autodesk. In this process, Dynamo for Revit is used to define the mathematical functions to use different variables and generate various structural models. The paper aims to expand the domain of automation in the BIM platform to reduce the iterative process in different areas such as conceptual structural design and collaboration between architects and structural engineers to reduce the time and cost at the early stages.
Design/methodology/approach
The paper begins with an exploratory research by adopting a qualitative methodology and using open-ended questions to achieve more information about the phenomenon of automation and interoperability between structural engineers and architects and gain new insight into this area. Furthermore, correlation research is used by adopting quantitative and short questions to compare the proposed prototype with the traditional process of the structural design and optimisation and the interoperability between architects and engineers and consequently, validate the research.
Findings
As an outcome of the research, a structural design optimisation (SDO) prototype was developed to semi-automate the structural design process of tall buildings at the early stages. Moreover, the proposed prototype can be used during the early stage of structural design in different areas such as residential buildings, bridges, truss, reinforced concrete detailing, etc. Moreover, comprehensive literature regarding using automation in structural design, optimisation process and interoperability between architects and engineers is conducted that provides a new insight to contribute to future research and development.
Research limitations/implications
Due to the time limit, the paper results may lack in a comprehensive automatic structural design process. Therefore, the researchers are encouraged to expand the workability of the prototype for a comprehensive automatic design check such as automatic design for the minimum deflection, displacement of different types of buildings.
Practical implications
The prototype includes implications for the development of different automatic designs.
Originality/value
The focus of this paper is the optimisation of the structural design in the BIM platform by using automation. This combination is one of the novelties of this paper, and the existing literature has a very limited amount of information and similar work in this area, especially interoperability between architects and engineers.
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