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The aim of the paper is to propose an integrative model of the leader competences through the analysis of the several models of competence found in the literature review.

The methodology used was qualitative, based partially on an integrative literature review (Torraco 2016). This paper aims to review, update and criticize the literature related to the competences approach in the organizational context and, on the other hand, to review, criticize and synthesize the literature, namely, the models and competences.

Difficulties in choosing and implementing a leader competency model led to the integration of competencies in a single model, seeking to simplify the choice and implementation process in organizations. The integrative model of leader competences arises from the literature review, more specifically from the analysis of the different approaches found. This model is grouped into four dimensions – intellectual competences, management competences, social competences and emotional competences. This research is a contribution to reduce the fragmentation of leadership and management theories and facilitates the choice and implementation of a leader competence model suited to the organization’s needs, contributing to the leadership effectiveness.

The integrative model of the leader competences allows the choice and implementation of a competence model with a wide range of competences considered as essential in the organizational context by several researchers. This model simplifies the process of identifying the competences that need to be developed, feeding the human resources development process within the organization.

This research investigates the critical role of data governance (DG) in shaping a data-driven culture (DDC) within organizations, recognizing the transformative potential of data utilization for efficiency, opportunities, and productivity. The study delves into the influence of DG on DDC, emphasizing the mediating effect of data literacy (DL).

The study empirically assesses 125 experienced managers in Indonesian public service sector organizations using a quantitative approach. Structural Equation Modeling (SEM) analysis was chosen to examine the impact of DG on DDC and the mediating effects of DL on this relationship.

The findings highlight that both DG and DL serve as antecedents to DDC, with DL identified as a crucial mediator, explaining a significant portion of the effects between DG and DDC.

Beyond unveiling these relationships, the study discusses practical implications for organizational leaders and managers, emphasizing the need for effective policies and strategies in data-driven decision-making.

This research fills an important research gap by introducing an original model and providing empirical evidence on the dynamic interplay between DG, DL, and DDC, contributing to the evolving landscape of data-driven organizational cultures.

This paper points out that common human resource manageement (HRM) research and practice have overlooked employee's class of origin. Workers' class of origin can be seen as “the elephant in the room” in current HRM, being that it significantly affects organizational decision-making with negative social (increased class-based inequality) and organizational (inefficient allocation of human re-sources) effects.

The paper summarizes the partial, fragmented and multi-disciplinary literature on HRM and employees’ social class of origin.

The paper shows how recruiting, selection, training and development practices systematically reinforce class-based inequality by providing high-class employees with more resources and opportunities compared to low-class employees.

The paper provides sustainable HR practitioners, educators and researchers with recommendations on how to address employees' social class of origin, improving organizational competitive advantage and reducing class-based inequality at the societal level.

The paper focuses on a topic which, in diversity management, is an elephant in the room (i.e. workers social class of origin).

Based on sociotechnical systems theory, social (human) and technological sub-systems in an organization should be taken in account when making strategic decisions and designed to fit the demands of the environment for organizational effectiveness. Yet there is very limited information in literature on whether employees are well equipped with indispensable (human) skills to prepare them combating challenges caused by advanced technology. The purpose of this study is to empirically investigate employees’ human skills that are critical for success in the Age of Robots and Artificial Intelligence from human resource development’s perspective.

A questionnaire was developed for the purpose of this exploratory study. A total of 422 US Midwest employees were surveyed on their human skills level that are critical for success in the Industry 4.0 transformation.

In general, the respondents could perform all the measured human skills (which can be categorized into social skillset and decision-making skillset) more than adequate but may vary by education level and gender. To strengthen one’s human skills, organizations may begin with facilitating employees on relationship building to create a support system and a strong sense of belonging, which will promote their social sensitivity and collaboration skill development, as well as decision-making skillset.

The findings of this study can be used for techno-structural interventions and employee development programs. This study highlights the importance of investigating human skills to cope with the changing nature of work and make upskilling more feasible and flexible for workers to be robot-proof.

The major purpose of this paper is to examine the mediating role of job competency in the effect of transformational leadership to performance of university lecturers. This article also attempts to examine the direct effect of transformational leadership on job competency and lecturer performance.

For the purpose of the study, quantitative research was applied by conducting an empirical survey with the active participation of 223 lecturers. The survey was conducted in ten high-ranked private universities in Jakarta, Indonesia. Structural equation modeling (SEM) was employed for the measurement and structural model analyses.

The results reveal that the effect of transformational leadership on lecturer performance is expressed only by indirect effect (through lecturer competency). Even though transformational leadership has a positive direct effect on lecturer performance, it is not statistically significant. This paper highlights the crucial role of lecturer competency in the performance of academic scholars. The findings suggest transformational leadership is fundamental in fostering competencies, which, in turn, improve the work performance of university lecturers.

This study makes significant contributions to the understanding of the interaction between transformational leadership and performance in higher education, and the statistical significance of lecturer work competency in mediating this relationship. The results of this study provide a snapshot of the contextual mechanism linking transformational leadership and lecturer performance.

This research aims to understand how competencies for supply chain professionals are developed and how they can affect the manager's performance, especially the manager's resilience in times of significant supply chain disruptions.

A research model was developed based on a comprehensive literature survey in the area of individual competencies grounded in the knowledge-based view of the firm. We tested our research model using a quantitative, survey-based study with a sample of 175 Pakistani supply chain managers. The hypotheses were tested using structural equation modelling (SEM).

The analysis identified corporate training and knowledge sharing as the main antecedents of supply chain professional's competencies. It also showed that these competencies result in higher performance in the form manager's resilience and job performance.

This study provides a valuable framework for organisations to focus on skill-developing training and promoting a knowledge-sharing culture among employees to achieve desired performance levels.

This study is unique as no prior research studied such a comprehensive model of antecedents and consequences of supply chain professionals' competencies.

Small and medium enterprises (SMEs) in emerging economies face significant challenges in formulating effective strategies to enter international markets, particularly amid uncertain conditions such as the COVID-19 pandemic. Consequently, there is a pressing need to examine the performance of these SMEs and evaluate their internationalization process. This study aims to examine the effects of international entrepreneurial orientation on the internationalization performance of SMEs and the mediating effects of organizational dynamic capability and organizational culture in Indonesia.

This study used a quantitative method with a survey approach by distributing questionnaires to 206 SMEs in Indonesia that have implemented internationalization practices. Partial least squares-structural equation modeling (PLS-SEM) was used to predict and estimate relationships.

This study finds that one of the SMEs’ strategies to encounter the new normal era of COVID-19 is to improve their internationalization performance, especially by actively participating in international markets. The empirical results show that organizational dynamic capabilities and organizational culture are proven to fully mediate the relationship between international entrepreneurial orientation and the internationalization performance of SMEs. Meanwhile, international entrepreneurial orientation does not directly affect SMEs’ internationalization performance. This study confirms the mediating role of organizational dynamic capabilities and organizational culture in dynamic capabilities theory and their relevance to internationalization.

This study provides valuable insights and encourages owner-managers and policy-makers in emerging economies, particularly Indonesia, to develop organizational dynamic capabilities and organizational culture that align with the demands of internationalization.

This paper aims to examine the association between corporate sustainability commitment and cash holding and whether the board’s leadership competency moderates the association.

The sample consisted of Islamic banks in Malaysia from 2017 to 2019. The sustainability commitment was measured based on the dimensions of the economic, social and environment of the Sustainable Development Goals (SDG).

The sustainability commitment of the Islamic banks are low. The regression results are not supportive of the hypotheses on the association between corporate sustainability commitment and cash holding and the moderating effect of board’s leadership competency.

The Islamic banks in Malaysia are still in their early stages to achieve the SDGs, but the trend of disclosure suggests that they are gradually embracing the commitment to sustainability practices. It is in support of the agency theory, with findings indicating greater agency cost that is perceived upon companies with greater sustainability commitments.

This paper integrates the dimensions of the SDG with the value-based intermediation guideline by Bank Negara Malaysia in measuring sustainability commitment of Islamic banks.

Agility is an important characteristic that every organisation requires in today’s competitive digital era. Telecommunications companies in Indonesia face various types of competition, both from the same industry and new models. This study aims to identify the agility level of telecommunications companies in Indonesia. It also examines the effect of leadership style directly and indirectly through the mediation of employee readiness, innovation culture, technology capability and organisational structure.

This study used a non-probability sampling technique. The macroprocess was used to identify and measure the direct and indirect effects. The results are based on survey data collected from a telecommunications company in Indonesia with a total of 1,073 employees.

The results of this study showed that an adaptive leadership style has a direct and significant positive effect on the organisational agility level. Employee readiness, innovation culture, technological capability and organisational structure function as mediators between adaptive leadership style and agility.

This study could contribute to the development of programs to ignite and boost organisational agility. Organisations are recommended to conduct periodic evaluations to measure agility levels and amend their programs accordingly.

Adaptive leadership style was used, which expresses the leader’s deep concern for employee needs and organisational achievement. This leader will most likely positively impact employees and favourably influence the organisation (technology, structure, innovation and agility).

Many cities across the world are actively investing in ways to excel in the innovation economy through the development of innovation districts as one of the most popular policy options. While innovation districts are among the leading drivers of innovation activities in cities, they are also high-cost and high-risk investments. Besides, holistic approaches for assessing these districts’ multifaceted performances are scarce. Bridging this knowledge gap is critical, hence, this paper aims to explore how innovation district performance can be assessed through a classification framework.

The paper introduces a multidimensional innovation district classification framework and applies it into Australian innovation districts with divergent features, functions, spatial and contextual characteristics. The study places 30 innovation districts from South East Queensland under the microscope of the framework to assess the multifaceted nature of innovation district performance. It uses qualitative analysis method to analyse both the primary and secondary data, and descriptive analysis with basic excel spreadsheet calculations to analyse the validity of the data.

The data analysis clusters 30 innovation districts from South East Queensland under three performance levels – i.e. desired, acceptable and unsavoury – concerning their form, feature and function characteristics.

The results disclose that the framework is a practical tool for informing planners, developers and managers on innovation district performances, and it has the capability to provide guidance for policymakers on their policy and investment decisions regarding the most suitable innovation district types and characteristics to consider.