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1 – 10 of 439Ronald H. Humphrey, Chao Miao and Anthony Silard
After summarizing what has been learned so far, the purpose of this review is to suggest several promising avenues for future research on work-to-family enrichment (WFE) and…
Abstract
Purpose
After summarizing what has been learned so far, the purpose of this review is to suggest several promising avenues for future research on work-to-family enrichment (WFE) and family-to-work enrichment (FWE).
Approach
This is a literature review. After reviewing the existing research and searching for gaps in the literature, new areas of research will be proposed to fill these gaps.
Findings
While much has been learned about the antecedents and consequences of work–family enrichment in both directions, WFE and FWE, much remains to be learned.
Research Implications
Three important outcomes – job performance, organizational citizenship behavior, and counterproductive work behavior – need to be studied regarding WFE and FWE. Although supervisor support has been studied, the field needs to incorporate leadership theories and models to understand this phenomenon. Additional predictors of work outcomes – including emotional intelligence, leadership, emotional labor, social support, gender, and cross-cultural variables – need to be examined. Experience sampling methods and advanced research methodologies should also be used.
Practical Implications
Although prior research has demonstrated the important effects of WFE and FWE, the practical effects on organizations in terms of job performance still need to be investigated.
Societal Implications
The literature review conclusively demonstrates that WFE and FWE are both related to job satisfaction and family satisfaction.
Originality
This is the first review to summarize the existing meta-analytical research in this area and to propose the particular avenues of research advocated in this article.
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Danuta Rode, Joanna Kabzińska, Magdalena Rode, Ewa Habzda-Siwek and Daniel Boduszek
The role of evidence-based psychological knowledge in cases of juvenile offending is essential to make appropriate decisions relating to youth who violate legal or social norms…
Abstract
Purpose
The role of evidence-based psychological knowledge in cases of juvenile offending is essential to make appropriate decisions relating to youth who violate legal or social norms, as it carries implications for treatment, intervention and practice. Psychological expert opinions therefore need to meet high formal and methodological requirements while maintaining ethical standards. The purpose of this study is to investigate psychological expert opinions in cases of juvenile misbehavior reported to regional courts in Poland. Juvenile court proceedings concern cases of demoralization and/or delinquent offenses. Demoralization is a legal concept described in the Act of June 9, 2022 on juvenile support and resocialization. This concept was not defined; it was only described through examples of behaviors indicating demoralization. These include the following: violations of the principles of community life; evading compulsory education or schooling; use of alcohol, narcotic drugs, psychotropic substances, their precursors, substitutes or new psychoactive substances; and prostitution.
Design/methodology/approach
To reach these goals, court records of juvenile cases in six district courts (N = 253) were gathered and analyzed. A semistructured questionnaire was used to examine the cases in which psychologists were appointed and to analyze the procedures used by these experts for assessing adolescents and their families.
Findings
Findings revealed that family judges appoint psychologists both in cases of “demoralization” (i.e. status offenses) and in cases of juvenile delinquency. The opinions were delivered by psychologists who were mostly members of diagnostic teams. Results indicate that such opinions generally comply with the minimal standards recommended by the Ministry of Justice, yet a few problems were observed with the determination of levels of demoralization.
Originality/value
The limitations of diagnostic tools used by psychologists are discussed, and recommendations for future practice are provided.
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Research has explored the behavioural responses of reluctant stayers to various organisational perceptions. This study extends current research to explain how employees who…
Abstract
Purpose
Research has explored the behavioural responses of reluctant stayers to various organisational perceptions. This study extends current research to explain how employees who perceive procedural injustice respond, when they intend to leave but are unable to, due to limited job alternatives. This study postulates that employees who perceive procedural injustice are more likely to develop turnover intentions. Procedural injustice is expected to indirectly influence workplace incivility, with turnover intentions as the mediator. Further, the availability of job alternatives is expected to moderate the relationship between turnover intentions and workplace incivility, to form a moderated-mediation model.
Design/methodology/approach
Data was collected from 204 retail employees across five major shopping malls within the Caribbean nation of Trinidad, using a two-wave research design. A path-analytic approach was used to test the research hypotheses.
Findings
The findings provided support for the propositions that procedural injustice predicts turnover intentions, that turnover intentions mediate the procedural injustice – workplace incivility relationship, and that the availability of job alternatives moderate the relationship between turnover intentions and workplace incivility.
Originality/value
This study addresses a clear research gap since no study has examined how employees' perceptions of procedural injustice affect their behaviour when they intend to leave but are unable to, due to limited job alternatives. This study extends research on the behaviour of reluctant stayers.
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Sven Laumer and Christian Maier
The purpose of this study is to investigate the impact of the COVID-19 pandemic on the beliefs and attitudes toward the use of information and communication technology (ICT). The…
Abstract
Purpose
The purpose of this study is to investigate the impact of the COVID-19 pandemic on the beliefs and attitudes toward the use of information and communication technology (ICT). The study examines the challenges of implementing ICT-based training and provides insights for promoting the acceptance of online training in volunteer sports communities.
Design/methodology/approach
The study uses an action design research methodology that combines the implementation of ICT-based training, interviews, and a survey of 523 participants to examine the influence of online training on beliefs and attitudes.
Findings
The study shows that before the COVID-19 pandemic, soccer referees had negative beliefs about the use of ICT for learning. However, the experience of being forced to use ICT for training during the pandemic led to a positive shift in their beliefs about ICT.
Research limitations/implications
The study offers four lessons learned for promoting the use of ICT-based training in voluntary sports. Future research should investigate the influence of blended learning approaches on affective, cognitive, and skill-based learning outcomes.
Practical implications
The study has practical implications for those responsible for implementing ICT-based training in voluntary sport. The findings suggest that design features such as usefulness, ease of use and enjoyment should be emphasized to increase the acceptance of online training.
Originality/value
The study contributes to the literature by providing insights into the challenges of implementing ICT-based training in voluntary sport contexts. The findings suggest that the experience of being forced to use ICT can promote the acceptance of online training in volunteer sports communities.
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Tita Flores, Verónica Greis Andía Flores, Efrain Chura Zea and Javier Mamani Paredes
This article examines the dairy value chain in Southern Peru and identifies four critical success factors that can enhance the local situation.
Abstract
Purpose
This article examines the dairy value chain in Southern Peru and identifies four critical success factors that can enhance the local situation.
Design/methodology/approach
The study employed descriptive research using semi-structured interviews with entrepreneurs from 17 cheese factories across eight districts, namely Azángaro, Ayaviri, Pucara, Lampa, Cabana, Acora, Pomata and Puno. Quantitative market data were also gathered and analyzed alongside qualitative views.
Findings
The study identified four critical issues: quality concerns in milk production, suboptimal managerial practices of cheese-processing plants, lack of compliance to regulations, particularly hygiene and environmental ones, and inadequate access to finance. The findings reveal a gap between the practices of the Puno region's dairy industry and world-class standards for cheese production. Urgent actions are required to improve product quality, increase access to finance, enhance managerial education and ensure compliance with regulations.
Research limitations/implications
Results suggest critical issues to be prioritized, but the article does not propose how to solve the problems identified. External factors, such as economic changes, were also not considered. Interviews were conducted exclusively with cheese processing entrepreneurs, not milk producers.
Originality/value
This case study provides an insight into the interior of Peru, an under-researched region facing several development challenges. The findings have significant implications for dairy value chain stakeholders in Peru and other similar contexts.
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Hans Kaushik, Rohit Rajwanshi and Artee Bhadauria
The global research evidences indicate that the technology adoption in case of agribusiness has a potential to enhance the performance and bring operational efficiency. India is…
Abstract
Purpose
The global research evidences indicate that the technology adoption in case of agribusiness has a potential to enhance the performance and bring operational efficiency. India is the world’s largest producer as well as consumer of milk but struggles with yield per cattle, overall productivity, low rate of technology acceptance and adoption, health detection of milching units, animal data recording and presence of dairy products in the global market. The purpose of this study is to focus on identifying the challenges of technology adoption in dairy farms and constructing a hierarchical model using soft systems methodology.
Design/methodology/approach
This study uses nominal group technique-based discussion with domain experts and personal interviews with dairy farm owners/managers for the identification of challenges, fuzzy interpretative structural modeling as well as FMICMAC to develop a hierarchical model of challenging elements and to divide the identified elements into four categories based on the dominance of driving-dependence power.
Findings
This research has developed a list of 12 challenges affecting the technology adoption in a dairy farm business unit, identified through the personal interviews with 60 dairy farms across three highest milk-producing states of India in terms of annual milk output – Haryana, Punjab and Uttar Pradesh. Lack of government support followed by lack of educational opportunities in dairy-based education were found as the most crucial and high driving challenges, whereas high cost, huge investment and low acceptance of decision-maker were found as the most dependent challenges of technology adoption.
Research limitations/implications
This research is one step ahead of interpretive structural modeling that considers the fuzzy-based dominance in the model to showcase the degree of relationship along with its existence, but it lacks to statistically validate the findings using techniques like SEM.
Practical implications
This paper has developed a list of challenges in adoption of technology along with their inter-relationships to highlight the required focus challenge that drives or is dependent on the other challenges. The goal is to bring performance improvement and assist Indian dairy farm business stakeholders or decision-makers in formulating strategic and action plans and help policy planners to make favorable policies based on the understanding of contextual relationship between challenges.
Social implications
In Indian context, dairy is an important part of agriculture sector, and milk is an essential item that facilitates income generation to small and rural households and a source item for several other businesses and activities. The results of this research suggested the policy planners and government to ensure subsidized and insured technologies, training support and facilities, educational opportunities and efforts for promotion of technology adoption among dairy farmers. The suggestions are purely on the basis of the relevance of challenges in the hierarchy and can play a significant role in improving the level of technology adoption and can ultimately uplift the social and economic well-being from micro-level of farmers to macro-stage concerning economic development of India.
Originality/value
To the best of the authors’ knowledge, this study is purely original and outcome of the research conducted by authors.
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Nonprofit organisations (NPOs) are an increasingly fundamental part of our society. Meeting rising demand requires NPOs to attract enough resources, especially volunteers, to…
Abstract
Purpose
Nonprofit organisations (NPOs) are an increasingly fundamental part of our society. Meeting rising demand requires NPOs to attract enough resources, especially volunteers, to enable service delivery. This paper aims to adopt a novel theoretical lens to reframe this marketing challenge to inform practice and extend theory.
Design/methodology/approach
Practice-based exploration of a volunteer-enabled NPO, parkrun, through in-depth interviews and secondary source analysis.
Findings
The research identified that the brand community connects volunteers through three inter-connected levels. The big idea of parkrun, the focal brand, resonated with people through being “on their wavelength”, something they believed in. The local, physical event meant engagement was “on their patch”, anchored in place. Finally, the brand community enables people to volunteer “on their terms”, with fluid roles and flexible levels of commitment.
Research limitations/implications
Not all NPOs have service beneficiaries who are able to volunteer, services with different volunteering roles, or operate through a local physical presence. However, taking a focal brand approach to consider the brand community through which people volunteer for an NPO, the practices that reinforce that community, and how to offer volunteers significantly greater flexibility in both role and commitment presents an opportunity for NPOs to rethink how volunteering works for them in the future.
Practical implications
Clear recommendations for practice include the opportunity to integrate service beneficiary with service delivery enabler (volunteer) to strengthen the implicit social contract, increasing participation to deepen the social identity felt towards the brand, and key practices that reduce barriers to volunteering.
Originality/value
The paper extends volunteering theory from the traditional individual needs approach to a focal brand community perspective. The marketing challenge of attracting volunteer resources to NPOs is understood through rethinking the boundaries between service beneficiaries and service enablers, anchored in social identity theory. It provides clear recommendations for practice through reframing the recruitment challenge.
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Maria Vittoria Bufali, Alec Morton and Graham Connelly
Cross-national research on cultural differences can help understand what drives, in differing contexts, mentors' commitment to school-based mentoring programs. This comparative…
Abstract
Purpose
Cross-national research on cultural differences can help understand what drives, in differing contexts, mentors' commitment to school-based mentoring programs. This comparative study aims to explore whether adult volunteers, from Scotland and Italy, experience being mentors of vulnerable youth differently.
Design/methodology/approach
Data from interviews (n = 20) and questionnaires (n = 114) were used to test hypotheses concerning volunteer mentors' perceptions of their role and abilities, as well as motives for participation. According to cross-cultural theories, Scottish mentors should be more likely to identify mentoring with establishing friendly relationships with mentees and promoting youth self-empowerment. They should also be more self-confident and value-driven as volunteers.
Findings
Despite the mixed support for the assumptions concerning how the mentor role is conceived, Scottish mentors were less likely than Italians to doubt their abilities and more driven by other-focused and generative concerns.
Originality/value
The study reveals significant variations in how volunteers from countries featuring different welfare regimes and cultural orientations experience mentoring. The research advances the understanding of how culturally sensitive approaches can foster mentors' engagement.
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Jugal Mohapatra, Sushree Priyadarshana and Narahari Raji Reddy
The purpose of this work is to introduce an efficient, global second-order accurate and parameter-uniform numerical approximation for singularly perturbed parabolic…
Abstract
Purpose
The purpose of this work is to introduce an efficient, global second-order accurate and parameter-uniform numerical approximation for singularly perturbed parabolic differential-difference equations having a large lag in time.
Design/methodology/approach
The small delay and advance terms in spatial direction are handled with Taylor's series approximation. The Crank–Nicholson scheme on a uniform mesh is applied in the temporal direction. The derivative terms in space are treated with a hybrid scheme comprising the midpoint upwind and the central difference scheme at appropriate domains, on two layer-resolving meshes namely, the Shishkin mesh and the Bakhvalov–Shishkin mesh. The computational effectiveness of the scheme is enhanced by the use of the Thomas algorithm which takes less computational time compared to the usual Gauss elimination.
Findings
The proposed scheme is proved to be second-order accurate in time and to be almost second-order (up to a logarithmic factor) uniformly convergent in space, using the Shishkin mesh. Again, by the use of the Bakhvalov–Shishkin mesh, the presence of a logarithmic effect in the spatial-order accuracy is prevented. The detailed analysis of the convergence of the fully discrete scheme is thoroughly discussed.
Research limitations/implications
The use of second-order approximations in both space and time directions makes the complete finite difference scheme a robust approximation for the considered class of model problems.
Originality/value
To validate the theoretical findings, numerical simulations on two different examples are provided. The advantage of using the proposed scheme over some existing schemes in the literature is proved by the comparison of the corresponding maximum absolute errors and rates of convergence.
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M.S. Daoussa Haggar and M. Mbehou
This paper focuses on the unconditionally optimal error estimates of a linearized second-order scheme for a nonlocal nonlinear parabolic problem. The first step of the scheme is…
Abstract
Purpose
This paper focuses on the unconditionally optimal error estimates of a linearized second-order scheme for a nonlocal nonlinear parabolic problem. The first step of the scheme is based on Crank–Nicholson method while the second step is the second-order BDF method.
Design/methodology/approach
A rigorous error analysis is done, and optimal L2 error estimates are derived using the error splitting technique. Some numerical simulations are presented to confirm the study’s theoretical analysis.
Findings
Optimal L2 error estimates and energy norm.
Originality/value
The goal of this research article is to present and establish the unconditionally optimal error estimates of a linearized second-order BDF finite element scheme for the reaction-diffusion problem. An optimal error estimate for the proposed methods is derived by using the temporal-spatial error splitting techniques, which split the error between the exact solution and the numerical solution into two parts, that is, the temporal error and the spatial error. Since the spatial error is not dependent on the time step, the boundedness of the numerical solution in L∞-norm follows an inverse inequality immediately without any restriction on the grid mesh.
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