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1 – 10 of over 1000Charles Jebarajakirthy, Achchuthan Sivapalan, Manish Das, Haroon Iqbal Maseeh, Md Ashaduzzaman, Carolyn Strong and Deepak Sangroya
This study aims to integrate the theory of planned behavior (TPB) and the value-belief-norm (VBN) theory into a meta-analytic framework to synthesize green consumption literature.
Abstract
Purpose
This study aims to integrate the theory of planned behavior (TPB) and the value-belief-norm (VBN) theory into a meta-analytic framework to synthesize green consumption literature.
Design/methodology/approach
By integrating the findings from 173 studies, a meta-analysis was performed adopting several analytical methods: bivariate analysis, moderation analysis and path analysis.
Findings
VBN- and TPB-based psychological factors (adverse consequences, ascribed responsibility, personal norms, subjective norms, attitude and perceived behavioral control) mediate the effects of altruistic, biospheric and egoistic values on green purchase intention. Further, inconsistencies in the proposed relationships are due to cultural factors (i.e. individualism-collectivism, power distance, uncertainty avoidance, masculinity–femininity, short- vs long-term orientation and indulgence-restraint) and countries’ human development status.
Research limitations/implications
The authors selected papers published in English; hence, other relevant papers in this domain published in other languages might have been missed.
Practical implications
The findings are useful to marketers of green offerings in designing strategies, i.e. specific messages, targeting different customers based on countries’ cultural score and human development index, to harvest positive customer responses.
Originality/value
This study is the pioneering attempt to synthesize the TPB- and VBN-based quantitative literature on green consumer behavior to resolve the reported inconsistent findings.
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Camila Alvarenga and Cicero Braga
In Brazil, over 4.7 million women enrolled in university in the year 2017. However, Brazilian women have been consistently overrepresented in humanities and care majors and…
Abstract
Purpose
In Brazil, over 4.7 million women enrolled in university in the year 2017. However, Brazilian women have been consistently overrepresented in humanities and care majors and underrepresented in science, technology, engineering and mathematics (STEM). Given that observed gender differences in math-intensive fields have lasting effects on gender inequality in the labor market, and that observed gender variations do not necessarily associate with differences in innate ability, in this paper we explore the paths of societal gender bias and gender differences in a Brazilian university.
Design/methodology/approach
We conduct a social experiment at a University in Southeastern Brazil, applying the gender-STEM Implicit Association Test.
Findings
We found that women in STEM are less likely to show gender-STEM implicit stereotypes, compared to women in humanities. The results indicate a negative correlation between implicit gender stereotyping and the choice of math-intensive majors by women.
Originality/value
The stereotype-congruent results are indicative of the gender bias in Brazilian society, and suggest that stereotypes created at early stages in life are directly related to future outcomes that reinforce gender disparities in Brazil, which can be observed in career choices.
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Syed Abidur Rahman, Seyedeh Khadijeh Taghizadeh, Golam Mostafa Khan and Malgorzata Radomska
The study aims to test the framework that proposes the role of resources (intellectual capital) in mobilizing entrepreneurial orientation that influences the competitiveness…
Abstract
Purpose
The study aims to test the framework that proposes the role of resources (intellectual capital) in mobilizing entrepreneurial orientation that influences the competitiveness improvement of micro-small-medium enterprises (MSMEs) under the lens of resource orchestration theory.
Design/methodology/approach
In this study, 347 respondents from the MSMEs participated through a structured questionnaire. For the data analysis purpose, the structural equation modeling technique was employed using SmartPLS software.
Findings
The results suggest human, structural, and relational capital are significant antecedents of entrepreneurial orientation, which leads to competitiveness improvement. The findings also indicate the mediation role of entrepreneurial orientation between intellectual capital and competitiveness improvement.
Practical implications
The current study presumably will supplement the promising research effort to progress the research orchestration theory and also could be a strategic guideline for the managers/owners of the MSMEs.
Originality/value
This study is possibly a novel attempt to divulge the association between intellectual capital (tripartite model) and competitiveness improvement of firms under the lens of resource orchestration theory.
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Mahdi Waleed Ziyadeh, Mohammed Othman and Ahmed Adnan Zaid
The paper aims to examine the association of green human resource management (GHRM) with organisational sustainability (OS) through the mediating function of corporate social…
Abstract
Purpose
The paper aims to examine the association of green human resource management (GHRM) with organisational sustainability (OS) through the mediating function of corporate social responsibility (CSR) and organisational citizenship behaviour for the environment (OCBE) in Palestinian health-care organisations.
Design/methodology/approach
The paper applied a quantitative method in which data are collected from a survey with 88 human resources and quality managers who work in Palestinian health-care organisations. Furthermore, the structural equation modelling method of partial least squares was used for the data analysis.
Findings
The results demonstrated that GHRM practices positively influenced CSR and OCBE, which eventually influenced OS. Notably, this study offers empirical insights into how to improve OS through CSR, OCBE and GHRM approaches.
Originality/value
This paper presents the implications for achieving the health care sector’s long-term sustainability by linking strategic environmental goals of human resources management practices with practices of social responsibility and organisational citizenship behaviour, which ensures employee participation in formulating policies and strategies for the organization.
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George Hondroyiannis, Evangelia Papapetrou and Pinelopi Tsalaporta
The Organization for Economic Cooperation and Development (OECD) countries are facing unprecedented challenges related to climate change and population aging. The purpose of the…
Abstract
Purpose
The Organization for Economic Cooperation and Development (OECD) countries are facing unprecedented challenges related to climate change and population aging. The purpose of the analysis is to explore the relationship between population aging and environmental degradation, accounting for human capital, using a sample of 19 OECD countries over the period 1980–2019.
Design/methodology/approach
On the empirical methodology, the analysis uses panel estimators with heterogenous coefficients and an error structure that takes into consideration cross-country heterogeneity and cross-sectional dependence for a panel of 19 OECD countries over the period 1980–2019. To examine the relationship between population aging and environmental degradation, the authors employ two alternative measures of environmental degradation that is energy consumption and CO2 emissions in metric tons per capita. Concerning the regressors, the authors account for two alternative aging indicators, namely the elderly population and the old-age dependency ratios to confirm robustness.
Findings
The analysis provides evidence that population aging and human capital development (IHC) lead to lower energy consumption in the OECD sample. Overall, the growing number of elderly people in the OECD seems to act as a mitigating factor for energy consumption. The authors view these results as conveying the message that the evolution of population aging along with channeling government expenditures towards human capital enhancement are important drivers of curbing energy consumption and ensuring environmental sustainability. The authors' research is of great significance for environmental policymakers by illuminating the favorable energy consumption patterns that population aging brings to advanced economies.
Research limitations/implications
The main limitation of this study concerns data availability. Future research, and subject to greater data availability in the future, could dig deeper into understanding the dynamics of this complex nexus by incorporating additional control variables. Similarly, the authors focus on aggregate renewable energy consumption, and the authors do not explicitly model the sources of renewable energy (wind, hydropower, solar power, solid biofuels and other). Additional analysis of the breakdown of renewable energy sources would be insightful – subject to data availability – especially for meeting the recently agreed new target of 42.5% for European Union (EU) countries by 2030. A deep transformation of the European energy system is needed for the EU to meet the target. Finally, extending the model to include a range of non-OECD countries that are also experiencing demographic transformations is a promising avenue for future research.
Originality/value
To the best of the authors' knowledge, this study is the first to examine the effects of population aging and human capital on environmental degradation using a broad set of OECD countries and advanced spectrum estimation methods. Given cross-sectional dependencies and cross-country heterogeneity, the authors' empirical results underline the importance of cross-OECD policy spillovers and knowledge diffusions across the OECD countries. The new “energy culture” calls for concerted policy action even in an aging era.
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Christopher McMahon and Peter Templeton
This chapter builds upon the analysis of the last chapter, as fans have to deal with the issues that arise from their team’s financial superiority. Here, we question what happens…
Abstract
This chapter builds upon the analysis of the last chapter, as fans have to deal with the issues that arise from their team’s financial superiority. Here, we question what happens when that financial superiority is accompanied by significant moral and ethical issues. Recent involvement of state actors in the ownership of English football has been evidencable and occasionally appears clear. Various reflexes and cognitive distancing occur from fandoms when football club ownership engages in practices that, according to the normative models that fans ascribe to their clubs, are mutually exclusive with the values of the fanbase and the club’s history. A common form of fan reflex often takes the form of distancing the players on the pitch from the club’s institutional structures, effectively teasing out the matchday experience from the structures that benefit from the raw emotion it generates. Another reflex is questioning why the fan should surrender their club when a morally, ethically problematic ownership model has acquired it. Here we have perhaps the greatest challenge to the normative model and, rather than negotiating that tension, as often as not the response is to try and ignore it.
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Research shows that postsecondary students are largely unaware of the impact of algorithms on their everyday lives. Also, most noncomputer science students are not being taught…
Abstract
Purpose
Research shows that postsecondary students are largely unaware of the impact of algorithms on their everyday lives. Also, most noncomputer science students are not being taught about algorithms as part of the regular curriculum. This exploratory, qualitative study aims to explore subject-matter experts’ insights and perceptions of the knowledge components, coping behaviors and pedagogical considerations to aid faculty in teaching algorithmic literacy to postsecondary students.
Design/methodology/approach
Eleven semistructured interviews and one focus group were conducted with scholars and teachers of critical algorithm studies and related fields. A content analysis was manually performed on the transcripts using a mixture of deductive and inductive coding. Data analysis was aided by the coding software program Dedoose (2021) to determine frequency totals for occurrences of a code across all participants along with how many times specific participants mentioned a code. Then, findings were organized around the three themes of knowledge components, coping behaviors and pedagogy.
Findings
The findings suggested a set of 10 knowledge components that would contribute to students’ algorithmic literacy along with seven behaviors that students could use to help them better cope with algorithmic systems. A set of five teaching strategies also surfaced to help improve students’ algorithmic literacy.
Originality/value
This study contributes to improved pedagogy surrounding algorithmic literacy and validates existing multi-faceted conceptualizations and measurements of algorithmic literacy.
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Andy Nguyen, Joni Lämsä, Adinda Dwiarie and Sanna Järvelä
Self-regulated learning (SRL) is crucial for successful learning and lifelong learning in today’s rapidly changing world, yet research has shown that many learners need support…
Abstract
Purpose
Self-regulated learning (SRL) is crucial for successful learning and lifelong learning in today’s rapidly changing world, yet research has shown that many learners need support for SRL. Recently, learning analytics has offered exciting opportunities for better understanding and supporting SRL. However, substantial endeavors are still needed not only to detect learners’ SRL processes but also to incorporate human values, individual needs and goals into the design and development of self-regulated learning analytics (SRLA). This paper aims to examine the challenges that lifelong learners faced in SRL, their needs and desirable features for SRLA.
Design/methodology/approach
This study triangulated data collected from three groups of educational stakeholders: focus group discussions with lifelong learners (n = 27); five teacher interviews and four expert evaluations. The groups of two or three learners discussed perceived challenges, support needs and willing-to-share data contextualized in each phase of SRL.
Findings
Lifelong learners in professional development programs face challenges in managing their learning time and motivation, and support for time management and motivation can improve their SRL. This paper proposed and evaluated a set of design principles for SRLA.
Originality/value
This paper presents a novel approach for theory-driven participatory design with multistakeholders that involves integrating learners, teachers and experts’ perspectives for designing SRLA. The results of the study will answer the questions of how learners’ voices can be integrated into the design process of SRLA and offer a set the design principles for the future development of SRLA.
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Roberto Chavez, Wantao Yu, Mark Jacobs and Chee Yew Wong
This study aims to investigate whether Industry 4.0 digital technologies can enhance the effects of lean production on social performance.
Abstract
Purpose
This study aims to investigate whether Industry 4.0 digital technologies can enhance the effects of lean production on social performance.
Design/methodology/approach
Survey data collected from China’s manufacturing industry are used to test research hypotheses.
Findings
The results reveal that the three dimensions of lean production (internal, customer and supplier) have a significant positive effect on social performance and that digital technology advancement (DTA) positively moderates these relationships. DTA adds only a marginal contribution to social performance.
Practical implications
This study addresses a new challenging question from manufacturing firms: how to integrate lean, technology and people? The empirical findings provide timely and insightful practical guidance for managers to better understand the role of digital transformation in the traditional lean context.
Originality/value
While digitalization is known to complement lean production, this study shows digitalization also complements the effects of lean production on social performance.
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Seema Das, Sumi Jha and Sumita Datta
This study aims to explore the career transition process of women professionals when they return to the workplace after a break and re-integrate with their career aspirations.
Abstract
Purpose
This study aims to explore the career transition process of women professionals when they return to the workplace after a break and re-integrate with their career aspirations.
Design/methodology/approach
This research used a qualitative approach with semi-structured interviews for data collection. All 20 women participants have returned to their careers after a break.
Findings
The data analysis reveals women’s career transition and re-integration process into the workplace after a career break. Supervisory support, work–life balance practices, role models, coworker support and career success emerged as factors enabling successful transition. The employing organisations’ diversity, equity and inclusion (DEI) hiring strategy emerged as an important mechanism for re-entry.
Originality/value
Although previous research has studied women professionals returning after a break, the “transition process” that enables re-entry is missing.
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