Search results

This qualitative study assesses the enablers of the work of a novel, self-managing digital pedagogy peer support team in a Finnish higher education institution.

This study employs a qualitative methodology with in-depth interviews of five digital pedagogy facilitators. The data collected are analyzed with the ATLAS.ti software. The analytical approach follows a deductive method, applying the categories derived from Magpili and Pazos (2018) who investigated the input variables of self-managing teams through their extensive literature review.

The primary findings underscore the suitability of Magpili and Pazos' variables for evaluating the performance enablers of self-managing teams. Furthermore, the findings emphasize the significance of leadership and effective communication as essential prerequisites for achieving elevated performance levels.

This study focuses on the enablers of team performance from the perspective of the team members. To enhance comprehensiveness, subsequent phases should incorporate viewpoints from clients, namely peer instructors, and focus on the mediator and outcome aspects of the team effectiveness framework.

This study offers actionable recommendations for higher education institutions aiming to adopt a peer mentor model akin to the one delineated in the study.

This study analyzes a collaborative approach to advancing digital pedagogy within higher education institutions and discusses the enablers for successful performance within self-managing teams.

The European Union (EU) has recently adopted gender quotas for corporate boards (CBQ), anticipating ripple effects on women’s careers in the companies concerned, as well as throughout the economy. The purpose of this paper is to investigate whether CBQ has spurred ripple effects and discuss mechanisms hindering or facilitating women’s occupancy of top executive positions.

Norway was the first country in the world to introduce CBQ in 2003, with full effect from 2008. The policy requires company boards to be composed of 40% of each gender. Drawing on original data mapping boards and executive committees in Norway’s 200 largest companies, the authors analyze the association between CBQ and the gender composition of executive management almost 15 years after the full implementation. The data include both companies covered by the CBQ and large companies not covered.

The investigation does not find a positive association between CBQ and more women in executive positions. Thus, the ripple effect hypothesis of CBQ is not supported. CBQ may have contributed to an increased awareness of gender imbalances, yet these findings indicate that to achieve more gender balance in executive positions, scholars and practitioners may need to focus more on gendered conditions and processes in organizations and society throughout executive careers than on the gender composition of boards.

This paper provides empirical analyses of original data 15 years after the implementation of CBQ. The authors further contribute to scholarly debate by identifying and discussing possible mechanisms that explain how requiring more women on corporate boards may – or may not – have ripple effects on executive management.

The purpose of this paper is to explore the extent to which the concept of learning organization can support the embedding of responsible innovation (RI) in organizations.

Based on literature in the fields of corporate social responsibility, learning organizations and quadruple helix collaborations, the authors constructed the responsible learning organization (RLO) framework for RI. With the framework, the authors want to show that the RLO can enable RI within organizations.

Based on this framework, the distinction is made between, on the one hand, the learning processes inside the organization, which resemble reflexivity, and, on the other hand, the learning processes that take place with stakeholders outside the organization, which resemble the other three core processes of RI: anticipation, inclusion and responsiveness. Based on these insights, the authors argue that if an organization wants to do good on innovation, which is seen as the core of RI, organization’s core values should guide that.

Organizational core values should be developed by means of learning inside the organization. Therefore, the process of reflexivity should be stressed more, and employees should be empowered to take part in developing these values, which in return can guide the organization as a compass through all the uncertainty it will encounter during the learning outside the organization when interacting with stakeholders.

The RLO framework for RI shows what learning processes organizations should facilitate first and what content should be at stake during these learning processes to embed RI. Furthermore, the framework puts emphasis on reflexivity as a condition for responsiveness, inclusion and anticipation.

This study offers an empirical framework for how hotel employees CSR perceptions affect their job satisfaction by incorporating the parallel mediating roles of organizational identification and psychological contract fulfillment. In addition, it examines the moderator effects of employees' CSR-induced attributions on the constructed mediated model, providing a powerful lens through which to evaluate when and how employees' CSR perceptions influence organizational identification and psychological contract fulfillment.

The study use PLS-SEM techniques to analyze a sample of 520 employees from 49 luxury hotels with 4–5 stars in Khanh Hoa province, Vietnam.

The results show that CSR positively influences job satisfaction through the mediating role of psychological contract fulfillment and organizational identification. Besides, attachment styles also play moderator role in the relationship between CSR and psychological contract fulfillment/organizational identification.

The discoveries elucidated within this research endeavor proffer actionable discernments to be earnestly contemplated by professionals entrenched in the hotel industry, earnestly aspiring to ameliorate the contentment of their workforce and, concomitantly, augment the overarching efficacy of their organizational operations.

This study provides human resource departments with insights and suggestions for maximizing the efficacy of CSR implementation in the hotel industry.

The purpose of this systematic review is to critically analyze pharmaceutical industry case studies on the implementation of Lean 4.0 methodologies to synthesize key lessons, benefits and best practices. The goal is to inform decisions and guide investments in related technologies for enhancing quality, compliance, efficiency and responsiveness across production and supply chain processes.

The article utilized a systematic literature review (SLR) methodology following five phases: formulating research questions, locating relevant articles, selecting and evaluating articles, analyzing and synthesizing findings and reporting results. The SLR aimed to critically analyze pharmaceutical industry case studies on Lean 4.0 implementation to synthesize key lessons, benefits and best practices.

Key findings reveal recurrent efficiency gains, obstacles around legacy system integration and data governance as well as necessary operator training investments alongside technological upgrades. On average, quality assurance reliability improved by over 50%, while inventory waste declined by 57% based on quantified metrics across documented initiatives synthesizing robotics, sensors and analytics.

As a comprehensive literature review, findings depend on available documented implementations within the search period rather than direct case evaluations. Reporting bias may also skew toward more successful accounts.

Synthesized implementation patterns, performance outcomes and concealed pitfalls provide pharmaceutical leaders with an evidence-based reference guide aiding adoption strategy development, resource planning and workforce transitioning crucial for Lean 4.0 assimilation.

This systematic assessment of pharmaceutical Lean 4.0 adoption offers an unprecedented perspective into the real-world issues, dependencies and modifications necessary for successful integration, absent from conceptual projections or isolated case studies alone until now.

Supply chains need to be made viable in this volatile and competitive market, which could be possible through digitalization. This study is an attempt to explore the role of Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business performance from the lens of natural resource-based view.

The study tests the proposed model using a covariance-based structural equation modelling and further investigates the ranking of each construct using the artificial neural networks approach in AMOS and SPSS respectively. A total of 234 respondents selected using purposive sampling aided in capturing the industry practices across supply chains in the UK. The full collinearity test was carried out to study the common method bias and the content validity was carried out using the item content validity index and scale content validity index. The convergent and discriminant validity of the constructs and mediation study was carried out in SPSS and AMOS V.23.

The results are overtly inferring the significant impact of Industry 4.0 practices on creating smart and ultimately sustainable supply chains. A partial relationship is established between Industry 4.0 and supply chain agility through a smart supply chain. This work empirically reinstates the combined significance of green practices, Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business value. The study also uses the ANN approach to determine the relative importance of each significant variable found in SEM analysis. ANN determines the ranking among the significant variables, i.e. supply chain resilience > green practices > Industry 4.0> smart supply chain > supply chain agility presented in descending order.

This study is a novel attempt to establish the role of digitalization in SCs for attaining sustainable business value, providing empirical support to the mediating role of supply chain agility, supply chain resilience and smart supply chain and manifests a significant integrated framework. This work reinforces the integrated model that combines all the constructs dealt with in silos so far in prior literature.

This paper aims to use Bayesian network (BN) methodology complemented by machine learning (ML) and what-if analysis to investigate the impact of digital technologies (DT) on logistics service quality (LSQ), employing the service quality (SERVQUAL) framework.

Using a sample of 244 Italian firms, this study estimates the probability distributions associated with both DT and SERVQUAL logistics, as well as their interrelationships. Additionally, BN technique enables the application of ML techniques to uncover hidden relationships, as well as a series of what-if analyses to extract more knowledge.

The results show that the average probability of firms investing in DT for analytics (DTA) is higher than that of investing inDT for immersive experiences (DTIE). Furthermore, adopting both offers only a moderate likelihood of successfully implementing SERVQUAL logistics. Additionally, certain technologies may not directly influence some SERVQUAL dimensions. The application of ML reveals hidden relationships among technologies, enhancing the predictions of SERVQUAL logistics. Finally, what-if analyses provide further insights to guide decision-making processes aimed at enhancing SERVQUAL logistics dimensions through DTA and DTIE.

This research delves into the influence of DTIE and DTA on SERVQUAL logistics, thereby filling a gap in the existing literature in which no study has explored the intricate relationships between these technologies and SERVQUAL dimensions. Methodologically, we pioneer the integration of BN with ML techniques and what-if analysis, thus exploring innovative techniques to be used in logistics and supply-chain studies.

This study aimed to identify and analyse the key factors influencing the adoption of e-government services and to discern their implications for various stakeholders, from policymakers to platform developers.

Through a comprehensive review of existing literature and detailed analysis of multiple studies, this research organised the influential factors based on their effect: highest, direct and indirect. The study also integrated findings to present a consolidated view of e-government adoption drivers.

The research found that users' behaviour, attitude, optimism bias and subjective norms significantly shape their approach to e-government platforms. Trust in e-Government (TEG) emerged as a critical determinant, with security perceptions being of paramount importance. Additionally, non-technical factors, such as cultural, religious and social influences, play a substantial role in e-government adoption decisions. The study also highlighted the importance of performance expectancy, effect expectancy and other determinants influencing e-government adoption.

While numerous studies have explored e-government adoption, this research offers a novel classification based on the relative effects of each determinant. Integrating findings from diverse studies and emphasising non-technical factors introduce an interdisciplinary approach, bridging the gap between information technology and fields like sociology, anthropology and behavioural sciences. This integrative lens provides a fresh perspective on the topic, encouraging more holistic strategies for enhancing e-government adoption globally.

The purpose of this study is to explore the impact of deviant workplace behavior on digital transformation in the public sector. This contributes to the current literature on public sector digital transformation as well as to that of deviant workplace behavior in public sector contexts.

The authors conduct a qualitative case study of a digital transformation initiative in a Swedish municipality.

The authors identify three types of institutional drift related to digital transformation, i.e. decelerating digital transformation, maintaining infrastructural stability and accelerating digital transformation. The authors categorize mediators for said drift and theorize on the role of deviant workplace behavior as a strategic driver for digital transformation in public sector organizations.

With the study being a qualitative case study, it is limited in terms of generalizability and transferability. Through this study, the authors sensitize the notion of digital transformation and show how deviant behavior results in strategic polyphony. Future studies are informed through offering a new perspective to public sector digital transformation strategy.

Practice should view deviant workplace behavior as simultaneously constructive and destructive in lieu of planned digital transformation, as well as see its presence as a potential sign of subpar prerequisites for digital transformation in the public sector.

Through this study, deviant workplace behavior is highlighted as a source of strategic polyphony and hence an important aspect of public sector digital transformation strategy.

Through being the first paper, to the best of the authors’ knowledge, to apply the theory of institutional drift to digital transformation settings as well as identifying the impact of deviant workplace behavior on digital transformation, the study offers novel insights.

This paper draws on African anti-colonial thought and Black consciousness to propose critical conscious leadership (CCL) as a decolonising leadership approach appropriate for pursuing emancipation, social justice and innovation in a new African university.

I utilised the method of critical discourse analysis to study Ihron Rensburg’s language as he reflected on his leadership at the University of Johannesburg (UJ). The study engaged with Rensburg’s writings and texts on his account of leading the merger and transformation of UJ. The primary text draws from his book “Serving Higher Purposes” (2020).

Through the construction of CCL, the paper proposes alternative tenets for leading transformation towards a new African university. CCL grounds a decolonised and pluriversal new African university’s character premised on a consciously revitalised alternative thinking that will carry the communitarian spirit of Africa in knowledge production, dissemination and consumption in humanising all and serving the greater good. And it operates within the dialectical tensions of the social and economic purpose of higher education (HE), African and global relevance, African and Western paradigms, excellent performance and attainment of social justice.

The proposed CCL offers an alternative leadership approach that responds to the call to “Dethrone the Empire” by centring Blackness in HE leadership, which is crucial for authentic transformation and decolonisation.