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Despite widespread media attention and growing interest from researchers, pay transparency remains an under-studied field of research and its impact on organizational outcomes like job turnover is not well understood. This study explores the impact of pay transparency on job turnover intentions through the mediating effect of perceived organizational support (POS) and organizational justice.

Data from quantitative surveys conducted with 299 employees at four South African organizations with different pay transparency practices were used to test the conceptual model of pay transparency impacting job turnover intentions through the mediators of POS and organizational justice.

The authors found a weak negative relationship between pay transparency and job turnover intentions and the role of the mediating variables was confirmed. Unexpectedly, the role of the organization emerged as a key variable. Controlling for organization type showed that the direct effect of pay transparency on turnover intentions became insignificant, indicating a stronger effect from organizational factors, of which pay transparency practices are just one.

Identifying a contextual (organizational) dimension to pay transparency practices extends the understanding of this concept and has implications for practice. The study also makes a methodological contribution by demonstrating the value of linking respondent data to a particular organization when researching pay transparency.

Although businesses continue to take up artificial intelligence (AI), concerns remain that companies are not realising the full value of their investments. The study aims to provide insights into how AI creates business value by investigating the mediating role of Business Process Management (BPM) capabilities.

The integrative model of IT Business Value was contextualised, and structural equation modelling was applied to validate the proposed serial multiple mediation model using a sample of 448 organisations based in the EU.

The results validate the proposed serial multiple mediation model according to which AI adoption increases organisational performance through decision-making and business process performance. Process automation, organisational learning and process innovation are significant complementary partial mediators, thereby shedding light on how AI creates business value.

In pursuing a complex nomological framework, multiple perspectives on realising business value from AI investments were incorporated. Several moderators presenting complementary organisational resources (e.g. culture, digital maturity, BPM maturity) could be included to identify behaviour in more complex relationships. The ethical and moral issues surrounding AI and its use could also be examined.

The provided insights can help guide organisations towards the most promising AI activities of process automation with AI-enabled decision-making, organisational learning and process innovation to yield business value.

While previous research assumed a moderated relationship, this study extends the growing literature on AI business value by empirically investigating a comprehensive nomological network that links AI adoption to organisational performance in a BPM setting.

This study aims to test the impact of the coronavirus (Covid-19) pandemic on large firms, with regard to a supply disruption, productivity, customer satisfaction and firm performance.

A cross-sectional survey design and stratified sampling technique were implemented for employee selection and data gathering. Confirmatory factor analysis (CFA) was used to examine the data and model fitness, while the structural equation model was used for hypotheses testing.

The pandemic triggered supply disruptions, but did not significantly impact the productivity of manufacturing firms directly. However, supply disruption positively and significantly impacted productivity. Organisational productivity had no significant impact on customer satisfaction, however, when mediating the relationship between Covid-19 and customer satisfaction, it produces a positive indirect effect. Finally, Covid-19 and supply disruption when mediated by organisational productivity both had negative significant relationships on performance.

Having a unique model, it creates a trail for future researchers to explore further. Though customer satisfaction was expected to be affected by the pandemic, it is interesting to find out that customer satisfaction when mediated by organisational productivity was positively influenced.

Disruptions are inevitable, managers must balance the pursuit of customer satisfaction and productivity so that one does not erode the other. Emphasis must be channelled towards managing the productivity of the firm to maintain customer satisfaction during these uncertain times. Deliberate steps like manufacturing flexibility investments should be initiated.

The first study to examine Covid-19, supply disruption, customer satisfaction, organisational productivity and performance in the Nigerian manufacturing sector.

The role of dialogue has recently been identified as being important in generating impact in organisations, but the purposeful use of narrative or story-based approaches to effect organisational change and service improvement is still relatively innovative. The purpose of this paper is to document and examine two projects in health and social care settings which aim to generate organisational development and service improvement.

The paper evaluates and compares two case studies of story-based organisational development and service improvement projects in the UK. This involved developing an appropriate evaluation framework and assessing the impacts in each case using semi-structured interviews and thematic content analysis.

This paper reports the diversity of impacts and outcomes that were generated by the projects. Specifically, it is argued that there is a strong indication that story-based projects best achieve their objectives when clearly linked to key organisational strategic drivers or pathways, as evidenced by robust evaluation.

This paper recommends that researchers and practitioners, working with story-based methods, design credible and robust evaluative practices, in order to evidence how their work supports organisations to meet current sector challenges. The paper recommends a flexible evaluation framework for evaluating story-based projects in the workplace.

This paper offers new evidence and insight into the impacts and outcomes of using story-based approaches, and a new evaluation framework for these sorts of projects.

The research explores indecision of strategic leaders in a complex case organization. This research offers new insights into the drivers of indecision of upper echelons decision-makers and explores the perceived consequences of the decision-makers' indecision.

Following a review of literature on upper echelons theory and strategic decision-making, indecision and the antecedents and consequences of indecision, the research follows a qualitative exploratory design. Semi-structured interviews were conducted among 20 upper echelons decision-makers with responsibility across 19 Sub-Saharan African countries in a case company. Thematic analysis was used to analyze the data.

The findings reveal that specific organizational, interpersonal and personal factors work together to drive strategic leader indecision in a complex organization. Strategic leader indecision brings about several negative organizational consequences and demotivates team members.

The findings are based on a single-case exploratory design but represent geographical diversity.

The research cautions organizations to deal with the drivers of strategic leader indecision to help avoid potential negative consequences of stifled organizational performance and team demotivation.

The study offers previously unknown insights into strategic leader indecision. This study builds on current literature on the antecedents and consequences of indecision and has a new research setting of strategic leader indecision in a complex organization.

The purpose of this paper is to explore the impact of change leadership on staff organizational citizenship behavior in a university setting. Moreover, the study aims to explore forces that influencing on staff organizational citizenship behavior in higher education institutions.

The study adopts a qualitative research design. An interview protocol along with field notes were used as major approaches for collecting in-depth data. Coding and categorizing approach were used to analyze interview transcriptions to help for emerging the study’s themes.

The findings reveal that change leadership builds confidence of staff, motivate them and helps to ensure trust. Moreover, results show that staff organizational citizenship behavior is influenced by personal, organizational, social-cultural and economic forces. To increase the organizational citizenship behavior of staff in higher education institutions, there is a need for leaders to use appropriate change-oriented style in leading their organizations. Findings also revealed that change leaders must serve as role-model to their subordinates as a way on enhancing staff organizational citizenship behavior.

Academic leaders are the pivot of change in higher education institutions. Accordingly, the effectiveness of higher education institution, staff and students are depending on the effectiveness of the leadership. In this regard, academic leaders’ willingness to change is the most effective factor that not only sets the credibility of the organization, but, more importantly, influence on staff organizational behavior.

It is hoped that the outcome of this research will contribute to the current knowledge of change leadership and organizational behavior in universities.

This is an original research and makes a great contribution to higher education in Asian countries.

The purpose of this study is to examine the effect of knowledge risk management (KRM) on organizational sustainability and the role of innovativeness and agility in this relationship.

The study presents the results of a quantitative survey performed among 179 professionals from knowledge-intensive organizations dealing with knowledge risks and their management in organizations. Data included in this study are from both private and public organizations located all over the world and were collected through an online survey.

The results have confirmed that innovativeness and agility positively impact the sustainability of organizations; agility also positively impacts organizational innovativeness. The partial influence of KRM on both innovativeness and agility of organizations has been confirmed as well.

The paper findings contribute in different ways to the ongoing debates in the literature. First, they contribute to the general study of risk management by showing empirically its role in organizations in the given case of organizational sustainability. Second, by emphasizing the risks related to knowledge, this study contributes to emerging efforts highlighting the particular role of knowledge for sustained organizational development. Third, by linking KRM and organizational sustainability, this paper contributes empirically to building knowledge in this very recent field of study. This understanding is also useful for future development in the field of KM as a whole.

The paper lays the ground for both a deeper and more nuanced understanding of knowledge risks in organizations in general and regarding sustainability in particular. As such, the paper offers new food for thought for researchers dealing with the topics of knowledge risks, knowledge management and organizational risk management in general.

In today’s business world, competition is no longer about resources accumulated, but the emphasis is now placed more on the actual accumulation and utilization of knowledge within the organization. Attention has shifted drastically from just acquiring wealth in the organization to an era where knowledge and learning within the organization becomes more critical and important to the organizational survival and continuous growth as put forward by this paper. This paper investigated the effect of organizational learning and effectiveness on operations, employee productivity and management performance. This paper aims to add to scholarly works and knowledge on organizational learning.

Random and stratified sampling techniques were used. Data collection was done with the use of a questionnaire and analyzed using confirmatory factor analysis and hierarchical multiple regression.

The result from the data analyzed shows that there is a positive relationship between organizational learning and effectiveness, operations, employees’ productivity and management performance suggesting that organization learning impact is encompassing because it affects and influences the effectiveness and efficiency of all the staff at every level within the organization.

Organizations should strive and do everything possible to ensure organizational learning because this study is in an era where knowledge and learning within the organization are more critical and important to organizational survival and continuous growth.

The study demonstrates that the only way to fast-track growth in every sphere of the organization is to ensure organizational learning as it influences the effectiveness and efficiency of all the staff at every level within the organization.

Effective policy to support business ecosystems should build on evidence-based analyses of firm-level activities and outcomes. This paper aims to contribute to this requirement and makes three contributions. The first contribution is to extend the application of the network capital concept to a variety of eight distinct linkage categories (e.g. suppliers, customers and business support agencies) that support networking and clustering, in both activity and impact terms. The second contribution is outlining a novel method of network visualisation (V-LINC) based on the collection of primary and qualitative data. The third contribution is in applying the method to one cluster, information and communications technologies.

Qualitative research on the nature and extent of organisational network linkages was undertaken. Structured interviews with a set of focal firms followed a tailored design approach. The concept of network capital was extended and applied to the cluster context by measuring network inputs and output (i.e. investments and impact). The approach was operationalised via a novel impact measurement approach, denoted as V-LINC, an acronym for visualising linkages in networks and clusters.

The authors develop a business impact framework exploiting novel linkage visualisations and qualitative data from firms in a cluster in one city region across eight linkage types to capture distinct network capital elements. Organisational inputs into network development, measured as investment and involvement indicators and organisational outcomes from those networks, measured as importance and intensity indicators, are used to assess network performance. A comprehensive, systematic and robust analysis of network elements and performance is possible. Distance is found to interact differently across linkage types. Targeted recommendations may be made from the analysis of local or regional business ecosystems in light of measured business impacts of linkages.

Due to the resource-intensive nature of data collection, the current study engages a limited sample of firms and interviewees. Applications of this approach in other contexts will permit further research into its usefulness in evaluating business impacts generated through networking activities.

The method introduced here (V-LINC) offers a novel means to include both geography network theory into an understanding of knowledge relationships and networks within clusters. Accounting for both distance and linkage type reveals which categories of intra-regional and extra-regional linkages generate the greatest impact, given their frequency. The approach adds to available cluster visualisation and analysis approaches through identifying patterns of disaggregated knowledge flows and their impacts, with application to evaluation demands of policy.

Drawing on Bandura’s social learning theory (SLT), the purpose of this paper is to investigate, analytically, the impact that after-training skills level (i.e. perceived skill match) has on change self-efficacy. Moreover, this research also aims to identify which specific skills sets (if any) act as a protective factor during organizational change, supporting the change confidence (CC) level of the people involved.

Quantitative research was carried out on a sample of 200 workers in the bank sector.

Findings of this study suggest that skill match has a significant impact on the CC level. Furthermore, this study demonstrates that, even in front-office jobs, a perceived skill match of soft skills does not have a significant impact on staff CC, unlike that suggested by common sense and by literature.

Future research should investigate if and how a training process enables change self-efficacy over time or instead shows its utility only when it is relating to a specific and limited period.

This study suggests that in designing training, top and middle management should pay specific attention to change recipients’ needs by adopting a bottom-up approach. Moreover, to improve training effectiveness, it would be advisable to also train change recipients’ supervisors.

This study has social implications in suggesting how to foster the adaptive capabilities of change recipients in current turbulent times. In doing so, it suggests how to prevent some undesirable change consequences such as anxiety, intention to quit, work-related stress and change cynicism.

This paper shows that, from a methodological point of view, it is necessary to evaluate training effectiveness at the level of a specific skill area and not simply by comparing the trained/not trained people, as typically practiced until now.