Search results

The purpose of this paper was to first identify and then model the impact of critical success factors (CSFs) of public–private partnership (PPP) power projects.

Review of empirical literature came out with 20 CSFs which were ranked by experts and industry practitioners through a two-round Delphi questionnaire survey.

These CSFs were grouped into CSF groups (CSFGs) using component analysis, and they served as the input variables for fuzzy analysis. The six components were collaboration and transparency, guarantee and permits, socio-political support, expected profitability, technical feasibility and risk allocation (RA). Overall success index of PPP power projects in Ghana was 5.966 and showed there is high impact of CSFGs on project success. Fuzzy analysis also confirmed RA as the most significant CSFG.

The model developed can serve as a multi-dimension CSF framework that can be used as a success attainment tool for PPP power projects. For policy developers and stakeholders, the model serves as a pointer to issues which the government/public sector must focus on to attract huge investments from the private sector in the power sector.

In comparison to other countries, power generation in Sub-Sahara Africa is poor. Public–private partnership (PPP) model has become increasingly popular for addressing infrastructural challenges, especially in the power sector. The purpose of this study is to evaluate and classify the factors that influence public sector involvement in Ghanaian PPP power projects.

Using purposive and snowball sampling techniques, questionnaires were used to gather responses from experts in the PPP power sector in a two round Delphi survey. Analytical tools adopted were descriptive statistics, mean score ranking, Cronbach’s alpha and factor analysis.

The most significant factors that influence public sector involvement in PPP power projects were: achieving improved value for money; access to additional capital; increased certainty of projects; greater efficiency of project delivery services; and improved ability to deliver new infrastructure. From factor analysis, the four components were: value for money and efficiency; capital and skills; innovation and technology; and project delivery.

Government bodies in the power sector will benefit from the findings, as it would aid them develop policies that would strengthen regulatory structures as well as institutions.

This paper presents an historical reconstruction of the radicalisation of Alan Fox, the industrial sociologist and a detailed analysis of his early historical and sociological writing in the classical pluralist phase.

An intellectual history, including detailed discussion of key Fox texts, supported by interviews with Fox and other Biographical sources.

Fox’s radicalisation was incomplete, as he carried over from his industrial relations (IR) pluralist mentors, Allan Flanders and Hugh Clegg, a suspicion of political Marxism, a sense of historical contingency and an awareness of the fragmented nature of industrial conflict.

Recent academic attention has centred on Fox’s later radical pluralism with its “structural” approach to the employment relationship. This paper revisits his early, neglected classical pluralist writing. It also illuminates his transition from institutional IR to a broader sociology of work, influenced by AH Halsey, John Goldthorpe and others and the complex nature of his radicalisation.

The 50th anniversary of Fox's Beyond Contract and Man Mismanagement coincides with another vital contribution to the sociology of work from 1974: Braverman's Labor and Monopoly Capital. This article analyses these two scholars' complementary approaches to job design and the extent to which Fox's ideas influenced subsequent labour process thought.

The article's methodological approach is a historiographical reading of Fox and Braverman's thought in the context of their times and later scholarship.

The article demonstrates that despite some noteworthy overlap with Braverman concerning scientific management, Fox's insights were marginal to later iterations of labour process analysis. It delves into the reasons for this relative neglect, providing an understanding of the dynamics at play.

This paper's value lies in its combined industrial relations and labour process historiography. It offers a fresh perspective on Alan Fox's relationship to the latter field of study.

Drawing on social information processing theory (SIP), this paper examines whether and how humble leadership affects employees' service improvisation (ESI) in the hospitality industry. Further, the study investigates the mediating role of psychological safety and the moderating role of creative self-efficacy (CSE).

To test the proposed relationships, the study adopts a cross-sectional design, administering questionnaires to 456 frontline staff in Egypt’s hospitality industry across three main sectors: restaurants, hotels and travel agencies. SPSS 27 and AMOS 22 were used for statistical analysis.

The study reveals a positive relationship between humble leadership and ESI, partially mediated by psychological safety. Furthermore, CSE not only strengthens the relationship between psychological safety and ESI but also enhances the indirect effect of humble leadership on ESI via psychological safety.

The study offers valuable insights for practitioners in the hospitality industry. To boost ESI, organizations can incorporate humble leadership attributes into their leadership development programs. Fostering a psychologically safe workplace would facilitate the positive impact of humble leadership on ESI. Recognizing CSE as a pivotal moderator underscores the importance of strategically selecting and developing employees with high CSE. These insights aim to cultivate a more service-oriented and effective workforce in the hospitality industry.

This study significantly contributes to leadership research in the hospitality industry by uncovering a previously unexplored link between humble leadership and ESI. Exploring psychological safety as a mediator and CSE as a moderator enhances our comprehension of how and when humble leadership influences ESI.

New Space activities offer benefits for human progress and life beyond the Earth. However, there is a risk that the New Space Economy may develop according to an anthropocentric mindset favouring human progress and survival at the expense of all other species and the environment. This mindset raises concerns over the social and environmental impacts of space activities and the accountability of space actors. This research article explores the accountability of space actors by presenting a pluralistic accountability framework to understand, inspire and change accountability in the New Space Economy. This study also identifies future research opportunities.

This paper is a reflective and normative essay. The arguments are developed using contemporary multidisciplinary academic literature, publicly available evidence and examples. Further, the authors use Dillard and Vinnari's accountability framework to examine a pluralistic accountability system for space businesses.

The New Space Economy requires public and private entities to embrace hybrid and pluralistic accountability for their social and environmental impacts. A new way of seeing the relationship between human life, the Earth and celestial space is needed. Accounting language is used to mirror and mobilise broader forms of responsibility in those involved in space.

This paper responds to the AAAJ's special issue call for examining how accountability can be ensured in the New Space Age. The space activities businesses conduct, and the anthropocentric view inspiring their race toward space is concerning. Hence, the authors advocate the need for rethinking accountability between humans and nature. The paper contributes to fostering the debate on social and environmental accounting and the accountability of space actors in the New Space Economy. To this end, the authors use a pluralistic accountability framework to help understand how the New Space Economy can face the risks emanating from its anthropocentric mindset.

This study aims to analyze the effects of socialization mechanisms (belief system and peer mentoring) on managers’ job engagement and their desire to have a significant impact through work, that is, the desire to substantially improve or facilitate the lives of others by performing their work. The study also examines the moderating role of organizational identification.

A survey was conducted with middle and lower-level managers at one of the largest banks in Brazil, the BankCo. The authors obtained a sample of 201 respondents and tested the research hypotheses with structural equation modeling. The authors also performed a complementary data analysis with fuzzy-set qualitative comparative analysis.

The results suggest that belief systems and peer mentoring directly promote job engagement and indirectly promote desire to have a significant impact to a better world through work (through full mediation of job engagement). The effects of job engagement on desire to have a significant impact through work are even greater when managers have high organizational identification. Finally, several causal combinations are sufficient for high levels of desire to have a significant impact through work.

Beyond studies that examine how organizational mechanisms influence employee outcomes (e.g. performance), this study explores how socialization mechanisms can promote desire to have a significant impact through work. Thus, the authors demonstrate how organizational core values, mission statement and peer mentoring collaborate for managers to develop altruistic behavior, that is, directly related to other human values, such as empathy and ethics, being able to contribute to a world better.

This study developed and empirically tested a model that connects socialization mechanisms, job engagement, organizational identification and managers’ desire to have a significant impact through their work. Therefore, the paper provides insights into the relevance of socialization mechanisms for orchestrating managers’ proactive and altruistic behaviors.

The purpose of this research is to investigate the cross-level effects and mechanisms of inclusive leadership on employee innovation in team contexts, and further explore the boundary conditions of inclusive leadership.

This study collected data from 237 leader-member dyads in 60 teams of Chinese firms. The research utilized multilevel linear models and multilevel structural equation models in the R language to test the hypothesized model.

The findings suggest that inclusive leadership has a positive impact on both employee incremental and radical innovation. Team psychological safety and employee role breadth self-efficacy mediate the effects. Employee risk avoidance propensity negatively moderates the mediating role of role breadth self-efficacy in the relationship between inclusive leadership and incremental innovation.

Leaders should pay attention to team psychological safety, employee role breadth self-efficacy and employee individual risk avoidance propensity that influence employee innovation to maximize the effectiveness of inclusive leadership.

This research expanded the level of analysis from individual to team, exploring cross-level effects and mechanisms of inclusive leadership on employee innovation in team contexts, and clarified the effectiveness conditions of inclusive leadership.

Drawing on the whole-life perspective of career development and the conservation of resources theory, the authors consider whether self-initiated expatriates' (SIEs’) cultural intelligence (CQ) is a general, cross-domain resource that helps SIEs gain resources in the work and nonwork domains. The authors contend that CQ will be associated with greater levels of organizational and community embeddedness, which in turn will facilitate their career satisfaction. The authors also propose the role of perceived host country community diversity climate as an environmental condition that, when low, strengthens the relationships between CQ and organizational and community embeddedness.

The authors examine the study hypotheses based on two distinct samples of SIEs (Sample 1: 169 Asian SIE professionals; Study 2: 147 SIE academics).

SIEs' CQ positively relates to their organizational and community embeddedness, which in turn is associated with greater levels of career satisfaction. The authors also find that SIEs with high CQ are more likely to experience community embeddedness and career satisfaction when they perceive that the host country community diversity climate is low.

First, this study goes beyond existing literature that rarely examines nonwork inputs to SIE career success. Second, extending previous CQ research with a strong organizational focus, the authors investigated how CQ influences SIEs' work and nonwork embeddedness. Third, the authors found that the absence of a peripheral ecological condition, perceived host country community diversity climate, may strengthen the direct relationship between CQ and embeddedness and the indirect relationship between CQ and career satisfaction.

There is a growing need for methodological plurality in advancing operations management (OM), especially with the emergence of machine learning (ML) techniques for analysing extensive textual data. To bridge this knowledge gap, this paper introduces a new methodology that combines ML techniques with traditional qualitative approaches, aiming to reconstruct knowledge from existing publications.

In this pragmatist-rooted abductive method where human-machine interactions analyse big data, the authors employ topic modelling (TM), an ML technique, to enable constructivist grounded theory (CGT). A four-step coding process (Raw coding, expert coding, focused coding and theory building) is deployed to strive for procedural and interpretive rigour. To demonstrate the approach, the authors collected data from an open-source professional project management (PM) website and illustrated their research design and data analysis leading to theory development.

The results show that TM significantly improves the ability of researchers to systematically investigate and interpret codes generated from large textual data, thus contributing to theory building.

This paper presents a novel approach that integrates an ML-based technique with human hermeneutic methods for empirical studies in OM. Using grounded theory, this method reconstructs latent knowledge from massive textual data and uncovers management phenomena hidden from published data, offering a new way for academics to develop potential theories for business and management studies.