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The purpose of this paper is to study the influence of centralization and formalization on the frequency of political tactics (FPT) used by employees. It also examines political will as the underlying variable that mediates the relationship between the focal variables.

The study uses data (n = 234) collected from a large public sector organization in India. The interrelationships are tested empirically using structural equation modeling.

The findings suggest that both centralization and formalization significantly influence the FPT used by employees. Also, political will partially mediate the relationship between centralization, formalization and FPT.

The study provides evidence of the influence of centralization and formalization as two organizational realities that lead to employee engagement in political tactics. It also elucidates the importance of political will and the need to develop social astuteness to maneuver through the maze of organizational politics. The study is conducted in a public sector organization in India and uses cross-sectional data. Therefore, generalizations must be made with caution.

The study establishes political will as an important mediator between centralization, formalization and political behavior, fostering in-depth research into the structural aspects of public sector organizations. It also establishes political will as an important individual disposition of employees that augments the engagement of employees in political behavior in highly centralized and formalized organizations.

Globalisation, trade barriers, unprecedented health crises and geo-political crises have forced organisations to revisit their performance measurement systems (PMS) to better prepare their supply chain against the risk and improve performance in times of crisis. This study aims to review the supply chain operation reference (SCOR)-based PMS and propose a dynamic SCOR-based PMS for supply chain risk management (SCRM).

Due to the need for multi-stakeholder perspectives on SCOR-based PMS for the SCRM, the authors aimed to develop a theory rather than to elaborate upon or test the theory. Hence, the authors adopted an inductive theory-building approach to build research propositions. The authors also gathered 12 semi-structured interviews with knowledgeable managers from B2B international companies.

The findings of the study highlight the challenges faced by the organisations during the implementation of the SCOR-based performance indicators and the positive impacts they have on decision-making and on the continuous improvement strategy of organisations to tackle supply chain risks and improve performance. The findings suggest that the effects of these indicators are more felt during risk management and risk monitoring stages.

Like any other study, this study has some rules, and, thus, the authors caution the readers that they must interpret the findings of the research considering these limitations. The study is based on semi-structured qualitative interviews. The interviews were conducted with 12 knowledgeable managers from France; thus, the insights drawn from the study cannot be generalised to other settings. Furthermore, the samples represent something other than small and medium enterprises. In the future, the samples from small and medium firms can offer a nuanced understanding of the performance indicators for SCRM.

To the best of the authors’ knowledge, this is one of the few studies which has attempted to revisit the SCOR-based PMS in the B2B supply chain for risk management. The study’s findings help expand the SCOR-based PMS literature and offer numerous insights to the management and consultants facing challenges in SCOR implementation.

The purpose of this paper is to assess how we implement new ways of managing relational risk at the operational level of outsourced projects and to provide guidance to project management (PM) policy makers and practitioners seeking to ensure project operations consistently deliver project relational risk management (PRRM) strategies.

Through exploratory study data were obtained from a panel of six experts in PM and from a pilot survey of PM practitioners. The data reveal future directions and vectors for scholarship and research activity in terms of the impact of PRMM-related mechanisms and deliverables on project success and the implementation process to enhance PRRM as a key PM capability.

Deliverables for PRRM need to part of a multidimensional framework that includes mechanisms besides the contract. Such a framework enables the codification of PM knowledge so that PRRM contributes to project success. With knowledge codified, PRRM strategies can be consistently delivered at the operational level. The framework is novel in that it integrates hereto disparate elements that are encompassed under the broad umbrella of relational governance mechanisms.

PM policy makers and practitioners recognise the importance of effective relationships to deliver projects successfully, yet they lack practical solutions to address the negative effects of dysfunctional relationships. The authors provide a list of PM deliverables for effective PRRM, including deliverables besides those related to the contract, which can be used in practice to bring the gap between PRRM strategy development and implementation. This will enable client organisations that outsource their projects to an external contractor to enhance their PRRM capability and increase the likelihood of project success.

The authors provide insights into how PRRM is practised at the project operations’ level where PM is outsourced. These insights lead to three pathways of impactful Operations Management (OM)/PM scholarship and research, namely, the following: 1) How PM deliverables act as a key success factor for effective PRRM? 2) How the duality of roles carried out by PM actors influences PRMM practices? 3) How companies innovate to enhance their PRMM capability? These pathways will enable PM research and scholarship to address disconnects between PRMM strategy and operations and hence go beyond answering “what” PRMM is to encompass “how” it is implemented.

This study aims to (1) validate the efficacy of contractual and relational governance in enhancing operational performance and (2) explore the influence of product complexity on the effectiveness of these governance mechanisms, thereby determining the optimal approach for varying levels of product complexity.

By utilizing a comprehensive theoretical framework encompassing transaction cost economics, social exchange theory and contingency theory, this research explores the intricate interplay between governance mechanisms, product complexity and operational performance, drawing insights from a dataset comprising 246 responses within Mainland China’s manufacturing sector. To rigorously test the proposed hypotheses, this study employed a hierarchical regression analysis.

The findings of this study are summarized as follows: (1) while both contractual governance and relational governance have a significant impact on operational performance, relational governance is found to be more effective than contractual governance in enhancing operational performance; and (2) the moderation effect of product complexity is evident, as it weakens the impact of contractual governance while simultaneously enhancing the positive influence of relational governance on operational performance.

The study uncovers a moderation effect of product complexity on the relationship between governance mechanisms and operational performance. This finding adds an original contribution to the literature by highlighting how product complexity can interact with governance strategies, providing practical insights for industries dealing with varying levels of product complexity.

Global crises have become increasingly recurrent events that jeopardize public-private partnerships (PPPs). In this context, the purpose of this paper is to expose the PPP-crisis research agenda by combining bibliometric and network analyses.

The PPP literature associated with global crises between the 2008 global financial crisis and 2022 was analyzed in three stages: (1) paper selection and screening for the inclusion/exclusion of articles relevant to this research, (2) semantic network development for examining thematic relationships among selected papers by considering the co-occurrence of keywords within the chosen studies and (3) calculation of network metrics for analysis.

The paper identified six research avenues for the PPP-crisis agenda: public interest, relational governance, risk management, user-pay PPPs, crisis management and financial performance. The PPP-crisis literature has spread significantly in the last five years driven by the case study approaches on a national or regional basis. Conversely, non-crisis periods generate room to strengthen user-pay PPPs and relational governance. The pandemic and post-pandemic times shared the priorities of the 2008 financial crisis but also strengthened the management of the risks and the structural drivers of the global crisis.

This study demonstrates that during global crisis periods, the public interest and financial performance gain relevance in a detriment of structural solutions to social legitimacy erosion of PPPs because of the urgency of giving tools to the public and private sectors to tackle the financial issues, which steer future issues for PPPs.

In the pursuit of co-exploration, the strength and brokerage dimensions of dyadic ties create a novelty–action trade-off: tie strength facilitates coordination but constraints novelty, while tie brokerage expands knowledge diversity but aggravates coordination difficulty. This study contributes towards a better understanding of this tension by comparing two dimensions of relational ties and examining their contingent values given different environmental factors and exchange characteristics.

The authors used survey data from 194 matched buyer–supplier dyads in China's high-tech industries and employed hierarchical moderated regression analysis to test the proposed hypotheses.

The authors find that compared with tie strength, tie brokerage has a stronger positive effect on co-exploration. Moreover, guanxi importance amplifies the effect of tie strength while decreasing the value of tie brokerage. As market uncertainty increases, the role of tie brokerage becomes more salient. Additionally, tie strength becomes less effective when buyer centralization is high, whereas tie brokerage exerts a stronger impact on co-exploration when an exchange is highly formalized.

This study contributes to the supply chain literature by adopting a relational perspective to integrate relational ties into the study of buyer–supplier co-exploration and by elaborating on the different implications of tie strength and tie brokerage in resolving the novelty–action trade-off. Furthermore, it provides a more nuanced understanding of when distinct dimensions of relational ties are effective, by clarifying boundary conditions in terms of environmental factors and exchange characteristics.

This study analyses the link between product/service innovation, partnerships and Managerial Control System (MCS). Particularly, it aims to analyse empirically the role of MCS in supporting the innovation partnership successful functioning and management.

The sample of this study consists of 106 Italian manufacturing firms belonging to the sectors of the Italian economy with the largest number of registered patents according to the European trend chart on innovation.

The results show that MCS may play a key role in reducing risks and lowering the likelihood of failure of innovation partnerships. Particularly, the authors found a positive correlation between the use of informal control mechanisms and a partnership’s successful performance. Moreover, among informal control, the findings show that trust is the only true informal mechanism that can guarantee a successful collaboration. The results of this study may offer relevant implications for practitioners. With regard to the control of the partnership’s activities, the initiatives and creativity of those who are actively involved in the innovation process should not be inhibited; therefore, stifling them with strict rules and procedures would be ineffective but if a firm is not willing to give up formal control mechanisms altogether because it does not believe that a trust-based coordination is sufficiently reassuring, it should opt for “weak”, albeit formal, control mechanisms based on a shared production and management of plans and reports, thus ensuring a perfect information symmetry among different partners.

Notwithstanding the different opportunities provided by partnerships and strategic alliances to support there is a growing body of evidence of a high failure rate in such organisational forms. One of the causes cited in the literature is the high level of risk associated with alliances as compared to internal development of innovation. The risks mainly arise from the difficulties to obtain cooperation with partners that might have different objectives, and from the potential opportunistic behaviour of some of the partners. This is particularly true in innovation networks where the uncertainty of producing an interesting result is very high and the investments that the partners make are considerable. In this context, MCS could play a relevant role in reducing the risks and decreasing the likelihood of failure.

Artificial Intelligence (AI) systems play an increasing role in organisation management, process and product development. This study identifies risks and hazards that AI systems may pose to the work health and safety (WHS) of those engaging with or exposed to them. A conceptual framework of organisational measures for minimising those risks is proposed.

Adopting an exploratory, inductive qualitative approach, the researchers interviewed 30 experts in data science, technology and WHS; 12 representatives of nine organisations using or preparing to use AI; and ran online workshops, including with 12 WHS inspectors. The research mapped AI ethics principles endorsed by the Australian government onto the AI Canvas, a tool for tracking AI implementation from ideation via development to operation. Fieldwork and analysis developed a matrix of WHS and organisational–managerial risks and risk minimisation strategies relating to AI use at each implementation stage.

The study identified psychosocial, work stress and workplace relational risks that organisations and employees face during AI implementation in a workplace. Privacy, business continuity and gaming risks were also noted. All may persist and reoccur during the lifetime of an AI system. Alertness to such risks may be enhanced by adopting a systematic risk assessment approach.

A collaborative project involving sociologists, economists and computer scientists, the study relates abstract AI ethics principles to concrete WHS risks and hazards. The study translates principles typically applied at the societal level to workplaces and proposes a process for assessing AI system risks.

This research aims to examine the influence of workers' identification with their supervisors on safety behaviour in construction projects.

Employing the job demands–resources theory, this research tested the relationships among relational identification as a personal resource, respectful engagement as a job resource, employee safety voice as a positive work behaviour and safety behaviour as the outcome. Partial least squares structural equation modelling (PLS-SEM) was used to analyse 120 quantitative data collected using a questionnaire survey.

Relational identification, which reflects workers' identification with their supervisors, is a significant predictor of safety behaviour. Furthermore, respectful engagement and employee safety voice sequentially mediate the relationship between relational identification and safety behaviour.

The internalisation of safety norms, values and practices in construction projects is contingent on the identification of workers with their supervisors.

Safety behaviour of workers is a significant predictor of safety performance in construction projects. Research on numerous antecedents of safety behaviour points out that leadership is a significant predictor of construction workers' safe behaviour. Contributing to research on construction safety leadership, this research found that leader-subordinate relationship is key to make construction workers more psychologically ready to internalise the importance of safety behaviours at work.

This study aims to operationalize and test some predictions of a social exchange theory of elder abuse. The theory proposes that the combination of low resources and high dependency/low relational power increases the older adult’s risk of abuse. The authors tested these predictions by exploring the association between morality (indicator of resources) and abuse, moderated by social skills (indicator of power).

This was an exploratory study. The authors collected data from 62 participants between 64 and 94 years old who frequented social-recreational centres.

The authors found a positive association between the moral intuition harm/care and the report of emotionally and financially abusive behaviours and denial of rights. The moral intuition authority/respect is negatively associated with the same types of abuse. The effects of moral intuitions on the types of abuse increased in older adults with generally high social skills and low assertiveness.

This study provided initial results for a psychological interpretation of a social exchange theory of elder abuse and highlighted the importance of relational models where moral intuitions interact with social skills to predict elder abuse.