Search results

In this paper, the authors aim to propose an effective method to indirectly determine nonlinear elastic shear stress-strain constitutive relationships for nonlinear elasticity materials, and then study the nonlinear free torsional vibration of Al–1%Si shaft.

In this study the authors use BoxLucas1 model to fit the determined-experimentally nonlinear elastic normal stress–strain constitutive relationship curve of Al–1%Si, a typical case of isotropic nonlinear elasticity materials, and then derive its nonlinear shear stress-strain constitutive relationships based on the fitting constitutive relationships and general equations of plane-stress and plane-strain transformation. Hamilton’s principle is utilized to gain nonlinear governing equation and boundary conditions for free torsional vibration of Al–1%Si shaft. Differential quadrature method and an iterative algorithm are employed to numerically solve the gained equations of motion.

The effect of four variables, namely dimensionless fundamental vibration amplitude ϑmax, radius α and length β, and nonlinear-elasticity intensity factor δ, on frequencies and mode shapes of the shafts is obtained. Numerical results are in good agreement with reference solutions, and show that compared with linearly elastic shear stress-strain constitutive relationships of the shafts made of the nonlinear elasticity materials, its actual nonlinearly elastic shear stress-strain constitutive relationships have smaller torsion frequencies. In addition, but β having opposite hardening effect, the rest of the four variables have softening effect on nonlinearly elastic torsion frequencies. Eventually, taking into account nonlinearly elastic shear stress-strain constitutive relationships, changes of the four factors, i.e. ϑmax, α, β and δ, cause inflation and deflation behaviors of mode shapes in nonlinear free torsional vibration.

The study could provide a reference for indirectly determining nonlinear elastic shear stress-strain constitutive relationships for nonlinear elasticity materials and for structure design of torsional shaft made of nonlinear elasticity materials.

This study aims to investigate the effect of microtextured tools on the geometric morphology of serrated chips, and further improve the cutting performance of polycrystalline cubic boron nitride (PCBN) tool and extend the tool life and the surface quality of the machined surface.

A three-dimensional finite element cutting model of hardened steel AISI D2 with microtextured PCBN tools were established using the finite element software Abaqus, and cutting tests were carried out. Furthermore, the stress distribution in the primary deformation zone was investigated based on the triaxiality of stress, and the influence of microtexture on the geometric morphology of serrated chips and crack development was researched.

The results show that compared with nontexture tools, elliptical pits and wavy grooves microtexture tools have lower serrated degree Gs, higher serrated frequency f per unit length and more miniature serrated step Pc. The serrated phenomenon is intensified because the tensile stress zone of chips generated by nontextured tools is longer than that of elliptic pits and wavy grooves microtexture tools. Simultaneously, the maximum value of triaxiality in the tensile stress zone achieved by nontexture tools is larger than that of the two microtexture tools, and chips obtained by nontextured tools are more susceptible to propagation fractures.

This paper mainly studies the effect of microtexture on chip microgeometry, which is relatively little studied at present. At the same time, this paper has a certain engineering significance for PCBN tool turning hardening steel.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2023-0149/

Presents a unified information systems theory where stochastic information, fuzzy information, rough information, grey information, unascertained information and white and black information are all special cases. A unified concept of information, named blind information, is introduced. Also, relevant mathematical representations of various types of information are presented.

Scholars highlight the lack of research that explains the mechanisms leading to knowledge sharing, which appears complex and involves many variables. The primary aim of this study is to investigate the direct effect of organizational support for innovation on job crafting behaviors and knowledge sharing. The second objective is to assess the mediating role of job crafting in the relationship between organizational support for innovation and knowledge sharing. The third aim is to compare the direct effects of organizational support for innovation on job crafting behaviors and knowledge sharing between teleworkers and office workers.

Based on an empirical study involving 193 teleworkers and 191 office workers, the structural equation modeling method was employed to examine the direct and indirect effects of organizational support for innovation on knowledge sharing via job crafting behaviors. The comparison between teleworkers and office workers was investigated using a multigroup approach in AMOS software. This research is grounded in the conservation of resources theory and social exchange theory to elucidate these relationships.

The results indicate that organizational support for innovation has a positive influence on job crafting activities, manifested by the increase in structural and social resources, as well as the amplification of work-related challenges. The results also indicate that organizational support for innovation directly promotes knowledge sharing behavior and indirectly through job crafting. Furthermore, the findings reveal that these effects on job crafting and knowledge sharing are stronger among teleworkers compared to office workers.

The study has limitations. Its cross-sectional design does not establish causality, potentially leading to common method variance. However, after implementing many procedural and performing statistical tests, common method variance was not significant in this research. Replicating the study longitudinally would be valuable. Additionally, considering personality traits and technology characteristics in job crafting behaviors would be beneficial. Lastly, the study focuses only on accountants and predates COVID-19, which may impact its findings and generalizability.

The study’s findings underscore the practical significance of supporting innovation and fostering job crafting to enhance knowledge sharing, particularly for remote workers. It highlights that the extent of employees’ engagement in job crafting depends on the level of innovation support provided in their workplace. To mitigate potential negative outcomes such as increased absenteeism, reduced productivity and retention challenges, organizations could benefit from training supervisors to prioritize and encourage job crafting and knowledge sharing behaviors among employees, especially in telework settings. Ensuring alignment between organizational messaging and managerial attitudes is crucial. Without autonomy or flexibility for job crafting, the positive effects of organizational innovation support may be limited.

This study contributes to the literature by demonstrating that job crafting behaviors serves as mechanisms between organizational support for innovation and knowledge sharing. The findings further advance the literature by revealing three psychological and motivational processes that may explain this relationship, particularly when comparing teleworkers to office workers. Our results reveal that the effect of organizational support for innovation on job crafting and knowledge sharing is stronger among workers who telework compared to office workers. This advances the theory of conservation of resources, especially the significance of resource gains, particularly in contexts where employees need resources, such as in telework.

Introduction – In today’s intense competitive environment, businesses that want to have a sustainable competitive advantage must put the customer at the centre of all their activities and create customer loyalty by offering products and services that will provide customer satisfaction. One of the key elements of ensuring customer satisfaction is the effective handling of customer complaints, which is defined as the customers expressing their dissatisfaction with unmet expectations and unsatisfied needs verbally or in writing. The concept of a complaint as a response of customers’ dissatisfaction with the products and services they experience is an invaluable feedback mechanism for businesses to resolve issues relating to their products and services.

Aim – The aim of this chapter is to emphasise the importance of the concept of complaint as an important part of customer relations management and an effective marketing tool for the tourism sector. As a service sub-sector, the simultaneous production and consumption of services in the tourism sector ensures customer satisfaction more than concrete products, due to their inseparable nature. For this reason, handling, evaluating and finalising customer complaints has an important function and value in providing the necessary information for tourism enterprises to become aware of their deficiencies and mistakes. Complaint management has started to play an even more critical role for the tourism industry in preventing customer losses due to dissatisfaction, especially considering the shrinkage in demand in the sector due to the COVID-19 pandemic.

Method – Firstly the concept of complaint and the importance of complaints for businesses were explained, customer complaint behaviour and the factors affecting this behaviour were examined in detail, the concept of online complaint was mentioned and the subject was evaluated in terms of tourism businesses.

Results – While the effective management and resolution of complaints should be seen as a goal by every tourism business, it is vital that they understand customer complaint behaviours, the factors affecting this behaviour and how complaints should be managed in a way that will result in favour of the business.

Conclusion – A complaint management process that enables customers to easily report their complaints to businesses and produces solutions as soon as possible will positively affect customer satisfaction. In this context, in order to reduce the negative effects on tourism enterprises, especially through the pandemic, business need to have clear and easy-to-access procedures, provide a quick response, show reliability and consistency in providing a solution, keeping the complainant informed of progress, have employees who can communicate with empathy and courtesy, have enough employees to deal with the situation, and adopt proactive approaches to prevent complaints rather than reducing the volume of complaints.

Originality/Value – This research contributes to the literature in terms of complaining behaviour, examining the factors affecting this behaviour and emphasising the importance of the concept of complaints in the tourism sector. In addition, the research is important in terms of examining the contributions of an effective complaint management system in reducing the negative effects of the COVID-19 pandemic on the tourism sector, which is one of the sectors mostly affected on a global scale.

To identify the typical multilevel issues in social science, as well as illustrate the theoretical basis, hierarchical models and empirical exemplars of multilevel paradigm.

Hierarchical and multilevel data are extremely common in social systems, but multilevel analysis is constrained by statistical techniques. With the development of social system theory and empirical methods such as hierarchical structure modeling and latent growth modeling, multilevel paradigm can be used to analyze multilevel data. So it is necessary to identify typical multilevel phenomena in social science and discuss multilevel modeling techniques.

This paper identifies four typical multilevel phenomena in social system study: hierarchical and clustered sampling, collective construct research, longitudinal repeated measures, and event history analysis. Hierarchical structure modeling and latent growth modeling are effective multilevel analysis techniques in social science because of their advantages in the integration of social system research.

The quality and availability of multilevel data are the main limitations regarding which model will be applied.

The paper can aid the provision of effective multilevel models to social workers.

This paper provides information on application of multilevel modeling in social science.

Organizations are considering the influence of workplace attention breadth (mindfulness and absorption) on professional development. Although corporate accountants typically focus on technical skills, soft skills such as mindfulness may also improve performance. In this study, we examine the influence of attention breadth on task performance by demonstrating how mindfulness and absorption vary with respect to improvement to entry, mid, and upper-level accounting tasks. We survey over 700 corporate accounting professionals and find that upper-level manager task performance is related to mindfulness, and mid-level manager task performance is associated with mindfulness and absorption. We also find that mid-level professionals who are unable to transition between mindfulness and absorption states serve a relatively longer tenure before advancing to an upper-level position. This study has important implications for management to assist in improving office productivity and morale.