MétaCan
Menu
Retour à la cohorte
Enregistrement W4387888029 · doi:10.1108/s2051-233320230000009012

Index

2023· paratext· en· W4387888029 sur OpenAlexaboutno aff

Notice bibliographique

Revuenon disponible
Typeparatext
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueEconomic and Technological Innovation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychologySocial psychologySociology

Résumé

récupéré en direct d'OpenAlex

Citation (2023), "Index", Kucukaltan, B. (Ed.) Contemporary Approaches in Equality, Diversity and Inclusion: Strategic and Technological Perspectives (International Perspectives on Equality, Diversity and Inclusion, Vol. 9), Emerald Publishing Limited, Leeds, pp. 193-199. https://doi.org/10.1108/S2051-233320230000009012 Publisher: Emerald Publishing Limited Copyright © 2024 Berk Kucukaltan INDEX Acting-doing mode, 44 Actor; agency; meaning, 157 Addiction, 40 Adidas, 134 Age, 61, 69, 161 Ahrefs, 137 Alexa, 137 Algorithmic governance, 13 Allyship, 9 Analytical tasks, 135 Anti-racist movements, 3 Anti-racist social movements, 4 Anti-slavery social movements, 4 Anxiety, 40 Artificial intelligence (AI), 130, 139 Artificial Intelligence Act, 13 Assertiveness, 114 Assimilation, 7 ATM workers, 7 Attention, 41, 44 Attention deficit hyperactivity disorder, 40 Attribution theory, 156–157 Augmented reality (AR), 130 Autonomy, 113 Axial coding, 22–23 AXIS FLIP, 135 Big data, 137 Bivariate analysis methods, 161 Bivariate correlations, 182 Body scan, 41 Bolivia, 14–15 Born Global, 58–60 Boston Consulting Group (BCG), 135 Bottom-up strategy process, 78 Breathworks, 40 Bullock and Batten (1985) phased approach, 150 Capability, 96 Categorisation, 39 Change, 152 models, 150 ontological considerations of EDI, 154 and performance, 153 step and phase models, 152–153 Changing, 152 Chartered Management Institute (CMI), 46 Climate, 9 Cloud-based tracking dashboards, 136 Commitment, 85 dilemma with reciprocity concerns, 93–94 Commodity Chain, 114 Compassion, 41 Concentration, 44 Confirmatory factor analyses, 182 Conformity assessments, 14 Context-oriented approach, 10–11 Controllability, 156 Correlation, 164–166 COVİD-19 pandemic, 77, 175 Creating-being mode, 44 Credibility, 96 Cronbach’s alpha, 161 Cross case analysis, 86–91 Cross-cultural management, 102–103 culture, 103–106 global value chains, 114–118 interculturalism and, 106–114 Cultivate, 136 Cultural compatibility, 27–28 Cultural diversity, 61–62, 68 Culture, 9, 61, 102–103 emergence, definitions, and meaning, 103–106 CVS Health, 134 Data analysis, 82–85, 135 Data sources, 82 Deficit approach, 7 Depression, 40 Differences, 38 Digital economy, 132 Digital Recruiting 3.0, 134 Direct supervisors, 178 Disability, 8, 69 movement, 4 Discrimination, 2–4, 38, 46 to inclusion, 2–3 Diversity, 2, 6, 60, 102, 158, 160 climate, 10 future of diversity in global entrepreneurship context, 67–69 governance, 12 importance of understanding diversity for multinationals, 65–67 management, 10–12, 39 management frames, 10 Diversity feature (DF), 164 Diversity-NLP, 138 Dual attitude, 47 Eating disorders, 40 eBay, 134 Ecofeminism, 12 Ecuador, 14–15 Ecuadorian Constitution, 14 Education, 61 Electronic data interchange (EDI), 138 Emotional contagion, 39 Emotional intelligence, 41 Emotional triggers, 39 Empathy, 41, 44 Employee perceptions, 20 benefits of EDI programmes, 21 data analysis, 22–23 data collection, 22 findings, 23–33 method, 22–23 Empowerment, 85 Empowerment dilemma with capability concerns, 94–95 Entrepreneurial activity, 59 Entrepreneurs, 59, 65 Entrepreneurship, 58–59 Envisia Learning, 136 Equal Pay Certification, 13 Equal Pay Standard, 15 Equality, 2, 4–5 Equality, diversity, and inclusion (EDI), 1 benefits of EDI programmes, 21 contextual consideration, 157–158 discrimination, 3–4 discrimination to inclusion, 2–3 diversity management, 10–12 equality and equity at work, 4–5 illustrative cases of progressive approaches, 13–15 implementations, 131 inclusion at work, 8–9 issues, 20 new deal in, 2, 12–13 ontological considerations of, 154 in organisations, 76 workforce diversity, 6–8 Equality-AI, 138 Equity, 2 at work, 4–5 Ethics and bias, 143 Ethnicity, 61 Etic categories of diversity, 8 European Artificial Intelligence Strategy, 13 European Law on Algorithmic Governance, 13–14 European Union (EU), 8, 13 Evaluation of threats, 44 Exclusion, 2 Expectancy, 155 theory, 154–156 Experience, 61 External impediments, 65 External incentives, 65 Falsification approach, 158 Femininity, 62 Feminist movements, 3 Fight-or-flight mechanism, 44 Fight-or-flight response, 44 Filiere concept, 114 Firm infrastructure, 115–116 Flexibility stigma, 174 Flexible working arrangements and perceived inequality, 173–176 and perceived ostracism, 176 Future orientation, 114 Gender, 8, 61 egalitarianism, 114 Generative mindfulness, 43 Geographic diversity, 60, 63 Global Business Knowledge, 65 Global commodity chain, 114 Global entrepreneurs, 59–60 Global entrepreneurship, 58 future of diversity in global entrepreneurship context, 67–69 importance of understanding diversity for multinationals, 65–67 international diversity and, 59–65 Global firms, 59–60 Global Start-Ups, 59 Global value chains (GVCs), 102–103, 114–118 Global Ventures, 59 Globalisation, 67, 132 GLOBE study (1999), 113 Goal difficulty, 157 Google’s Word2Vec, 134 Green economy, 14 Halo Effect, 46 Happiness, 41 Harman’s single-factor test, 182 Hemsehri, 8 Hilton, 134 Hiretual Pro, 134 HiringSolved, 134 Hofstede’s study, 62, 110 Horizontal segregation, 6 Human resource management (HRM), 115–116, 130, 132 Human resources (HR), 130 Humane orientation, 114 Human–technology interaction, 13 Hybrid work, 172–173, 176 Hypotheses testing, 164–166 IBM Watson Recruitment, 134 Iceland’s Equal Pay Standard, 6 Iceland–Law on Gender Pay Gap, 15 Ideal contextual diversity management approach, 12 Immigrant entrepreneurs, 68 Implicit attitudes, 47 Implicit bias, 43 In-group collectivism, 114 Inbound logistics, 115 Inclusion, 2, 38–39, 76, 119, 175 at work, 8–9 Inclusive global value chain, 103 Inclusive organisational culture, 173 Inclusive strategy, 78 Inclusivity, 158 Individual/micro-level challenges, 23 perceived capabilities of others, 25–26 perceived differences of others, 24–25 potential actions to overcome employee-related (micro-level) challenges, 27–28 Individualism–Collectivism dimension, 110 Indulgent society, 112 Industrial mix, 61 Industry 4.0 technologies, 130 analyses and findings, 138–141 in EDI practices, 131–136 methods, 136–138 Inequality, 2, 173 Inequity, 2 Information systems (IS), 132 Innovation, 59 Institutional collectivism, 114 Instrumentality, 155 Intel, 134 Interactive learning methods, 136 Interactive strategy, 77, 79 Intercultural communication, 106 Interculturalism, 106–114 Interculturality, 106 Internal change agents (ICAs), 150, 157, 162 International diversity, 59–65 International entrepreneurship, 58–59 International managers, 102 International New-Ventures, 59 International Start-Ups, 58–59 Internationalisation, 58, 61, 67 Internet of Things (IoT), 130 Intersectionality, 68–69 Intuitive mind, (see Unconscious mind) Journaling, 41, 46 Kanter’s 10-step model (1984), 150 Key performance indicators (KPIs), 95, 136 Knowledge mix, 61 Kolmogorov-Smirnov test, 161 Kotter’s 8-step change model (2012b), 150 Language, 61 training, 27–28 Leader–member exchange (LMX), 173 flexible working arrangements and perceived inequality, 173–176 flexible working arrangements and perceived ostracism, 176 method, 181–182 and perceived inequality, 177–178 and perceived ostracism, 178–179 results, 182–186 Leadership for diversity, 10 Learning, 44 Legal regulations, 6–7, 11 LGBTQ+ movement, 3 Lifestyle, 61 Linguistic intergroup bias, 48 Linking theory with survey, 158–160 Locus of control, 156 Long-Short-Term Orientation, 111 Low-maturity organisations, 11 Management, 102(see also Cross-cultural management) characteristics, 65 Management Control Theory, 77–79, 95 Managing differences, 39 applying workplace MBIs to encourage cognitive changes, 43–48 mindfulness, 40–41 mindfulness-based skills, 42–43 Marginalisation, 38 Marketing and sales, 115 Masculinity, 62 Masculinity–femininity dimension, 110 Mature in diversity management, 10–11 Mechanical intelligence, 135 Meditations, 41, 46 Memory, 44 Mentoring, 9 Meta Chain, 114 Michael Porter’s Value Chain, 115 Microaggressions, 46 Middle managers, 77 Mindful communication, 41, 46 Mindful eating, 41 Mindful movement, 41 Mindful perception, 43 Mindful walking, 41 Mindfulness, 40–41 skills, 41–43 trainings, 47 Mindfulness-Based Cognitive Therapy, 40 Mindfulness-based interventions (MBIs), 39–40 applying workplace MBIs to encourage cognitive changes, 43–48 for eliminating unconscious biases, 47–48 for expanding perception, 44–45 for understanding categorisation, 45–47 Mindfulness-Based Self-Compassion, 40 Mindfulness-Based Stress Reduction (MBSR), 40 Mobile devices, 130 Montreal Declaration, 13 Mood regulation, 44 Movement of individuals with disabilities, 3 Multinationals, 63–64 importance of understanding diversity for, 65–67 organisations, 60 Nadler’s 12-step model (1978), 150 National cultures, 62, 103, 105 Nationality, 61 Nationality, 69 Nestle, 135 Neuroplasticity, 44 NeuroTeamView tool of Envisia, 136 New deal in EDI, 2, 12–13 NVivo software, 22 Occupation, 61 One-way ANOVA models, 183 Open loop university, 135 Open strategy, 76 lens and associated dilemmas, 79–81 Open Strategy Dilemmas, 81 Openness disposition, 76 Operations, 115 Organisation characteristics, 65 Organisational culture, 21, 43 Organisational policies, 20 Organisational support, 10 Organisational/meso-level challenges perceived lack of clear definition and measurement, 30–31 perceived lack of leadership support and resources, 29–30 perceived role of organisational culture, 28–29 Organisations, 6–7, 10–11, 20–21, 58 Organizational work-life inclusion, 174 Ostracism, 172–173, 176 Outbound logistics, 115 Paradox, 135 Participation, 76 Particularism, 111 Payment accounts, 115 Perceived capabilities of others, 25–26 Perceived control, 157 Perceived differences of others, 24–25 Perceived lack of understanding and appreciation of benefits of EDI by society, 32–33 Perceived politicisation and divisiveness of EDI-related issues, 32 Perception, 39 Performance, 153 orientation, 114 Post hoc tests, 182 Post-humanism, 12–13 Postcolonial social movements, 4 Power distance, 108–109, 114 cultures, 62 Prejudices, 39, 43 Primitive nervous system, 44 Process, 85 dilemma with credibility concerns, 93 Process-oriented approach, 10 Procurement, 115–116 Productivity, 59 Professional isolation, 172 Psychological resilience, 41 Psychology studies, 2 Race, 8 Refreezing, 152 Rejection of difference, 38 Religion, 61, 69 Religious diversity, 60 Remote work, 172 Remote workers, 172 Restrained society, 112 Retraining methods, 134 Right to an education, 38 Right to free speech, 38 Right to healthcare, 38 Risk takers, 63 Role play, 46 Search engine result pages, 136 Search Inside Yourself, 40 Self-acceptance, 39, 42 Self-compassion, 41 Self-efficacy, 156 Self-esteem, 41 Semrush, 137 Senior managers, 77 Sensemaking, 155–156 SERP queries, 137 Servant leadership, 173 flexible working arrangements and perceived inequality, 173–176 flexible working arrangements and perceived ostracism, 176 method, 181–182 and perceived inequality, 179–180 and perceived ostracism, 180–181 results, 182–186 Services, 115 Sexual orientation, 8 Sexuality, 69 Similarweb, 137 Sleep quality, 41 Small and medium enterprise (SME), 77 case selection, 81–82 considerations of open strategy disposition, 92 cross case analysis, 86–91 data analysis, 82–85 data sources, 82 findings, 85 Management Control Theory, 79 methodology, 81–85 multiple case studies, 83–85 open strategy lens and associated dilemmas, 79–81 strategy characteristics, 79 theoretical framework, 78 Social categorisation, 46 Social controls, 95 Social isolation, 172 Social justice, 20 Social media technologies, 130 Social movements, 3–4, 10 Societal/macro-level challenges, 31 perceived lack of understanding and appreciation of benefits of EDI by society, 32–33 perceived politicisation and divisiveness of EDI-related issues, 32 potential actions to overcome, 33 Sociology, 2, 6 Spearman’s correlation coefficient, 161–162 Stability, 156 Start-ups, 59 Statistical analysis, 135 Stereotypes, 39, 43 Strategic management, 76 Strategy openness, 76 Strategy-oriented approach, 10 Surprise, 155–156 Systemic discrimination, 39 Talent pools, 10 Talvista, 134 Teamable, 134 Technological diversity, 60–61 Technology development, 115–116 Telecommuting, 177–178 Telework, 175–176 Teleworking, 173–174 regulations, 175 Thematic analysis, 82 3M, 135 Three-step model, 152 Threshold Traits, 65 Tilting towards/away, 39 Toronto Declaration, 13 Traditional HR, 132 Transactional HR, 132 Transformational HR, 132 Transparency, 76, 85 Uncertainty avoidance, 63, 110, 114 Unconscious biases, 39, 43 Unconscious mind, 47 Unfreezing, 152 Unilever, 134–135 Univariate analysis methods, 161 Universal Declaration of Human Rights, 38 Universalism, 111 Valence, 155 Value chain, 102 approach, 114 Values, 106 activities, 115 Variance inflation factors (VIF), 182 Verizon, 134 Vertical segregation, 6 Virtual instructor-led training (VILT), 135 Virtual reality (VR), 130 Web analytics, 131, 137 Women’s movements, 3 Work-based learning, 151 Workforce diversity, 6–8 Work–life balance, 175 Workplace diversity, 20 Book Chapters Prelims Chapter 1: Insights into Equality, Diversity, and Inclusion Chapter 2: Employee Perceptions Matter: The Challenges of Organisational Equality, Diversity, and Inclusion (EDI) Programmes Chapter 3: Managing Differences in the Workplace: Mindfulness-based Interventions Chapter 4: Diversity at the Intersections of Global Entrepreneurship: New Approaches and Challenges Chapter 5: Reversing the Pyramid: Interactive and Bottom-up Strategy Practices in Small and Medium Enterprises Chapter 6: Cross-cultural Management for Inclusive Global Value Chain Chapter 7: Emerging Trends of Industry 4.0 in Equality, Diversity, and Inclusion Implementations Chapter 8: Manifesting Change: Developing Change Agents in a Digitalised World Chapter 9: Flexible Working Arrangements, Ostracism and Inequality: The Role of LMX and Servant Leadership Index

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,586
Score d'incertitude au seuil0,956

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0450,631

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,087
Tête enseignante GPT0,245
Écart entre enseignants0,158 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetEconomic and Technological InnovationTravaux en français237 207