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1 – 8 of 8This chapter offers a dynamic model of authentic leadership that links authentic leadership to situational leadership theory and shows how dynamics in the academic environment…
Abstract
This chapter offers a dynamic model of authentic leadership that links authentic leadership to situational leadership theory and shows how dynamics in the academic environment, one of the most difficult settings that leaders face, can be addressed. Kindsiko and Vadi detail the concept of situational authenticity, which reveals how authentic leadership takes place via forms of sensing – sense-giving, sense-making, sense-breaking and sense-keeping – in work-related situations. The authors highlight questions for future research: Is sensing the key to success? Are situational ethics valid if they adapt to evolving circumstances? Are situational ethics, in effect, just another way of expressing relativism? If so, can that be reconciled with authentic leadership theory?
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Hannes Velt and Rudolf R. Sinkovics
This chapter offers a comprehensive review the literature on authentic leadership (AL). The authors employ a bibliometric approach to identify, classify, visualise and synthesise…
Abstract
This chapter offers a comprehensive review the literature on authentic leadership (AL). The authors employ a bibliometric approach to identify, classify, visualise and synthesise relevant scholarly publications and the work of a core group of interdisciplinary scholars who are key contributors to the research on AL. They review 264 journal articles, adopting a clustering technique to assess the central themes of AL scholarship. They identify five distinct thematic clusters: authenticity in the context of leadership; structure of AL; social perspectives on AL; dynamism of AL; and value perceptions of AL. Velt and Sinkovics assert that these clusters will help scholars of AL to understand the dominant streams in the literature and provide a foundation for future research.
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This study investigates the factors that influence citizens trust in public leaders [i.e. presidents, members of parliament (MPs) and local government leaders (LGs)] in 34…
Abstract
Purpose
This study investigates the factors that influence citizens trust in public leaders [i.e. presidents, members of parliament (MPs) and local government leaders (LGs)] in 34 countries in Africa between 2019 and 2021.
Design/methodology/approach
Individual-level data with a sample size of 48,084 was obtained from the Afro-Barometer round 8 survey only and analyzed using multivariate binary logistic regression.
Findings
Several important and intriguing observations were made from this analysis: (1) the performance of public leaders influences citizens trust in their leaders; (2) the perceived corruption of public leaders and civil servants and the level of corruption influence citizens trust in public leaders; (3) perceived neighborhood problems (i.e. fear of violence, fear of terrorism and service delivery) influence citizens trust in their public leaders and (4) the socio-demographic characteristics of citizens (i.e. age, religion, education, location, employment and political party affiliation) influence citizens trust in their public leaders.
Originality/value
This study is exceptional in two ways: (1) it examines and compares citizens trust in public leaders across different levels, i.e. presidents, MPs and LGs in Africa and (2) it examines and compares the factors influencing citizens trust in public leaders in Africa comparatively.
Salvatore Polizzi, Fabio Lupo and Sara Testella
Quality Assurance and Improvement Program (QAIP) is defined as “an ongoing and periodic assessment of the entire spectrum of audit and consulting work performed by the internal…
Abstract
Purpose
Quality Assurance and Improvement Program (QAIP) is defined as “an ongoing and periodic assessment of the entire spectrum of audit and consulting work performed by the internal audit (IA) activity”. QAIP is an important component of internal auditors’ commitment to improve internal audit (IA) quality. The pressure towards improvement is urgent for central banks, in light of the vulnerabilities of their IA functions identified by the International Monetary Fund. The authors analyse the professional standards and the literature on IA and QAIP, aiming to propose general considerations to enhance IA quality and to develop and maintain a QAIP, with reference to central banks, also shedding light on the synergies among IA, QAIP and total quality management (TQM).
Design/methodology/approach
This paper reviews the most relevant professional standards in light of the professional and academic literature regarding IA quality, QAIP and their relationship with TQM. The analysis of these sources represents an important step to identify general measures to improve IA quality and develop effective QAIP in central banks.
Findings
This analysis shows that it is important to understand the rationale behind the development of an IA function and its theoretical and practical foundation, especially for complex organisations such as central banks. In addition, the authors show that QAIP represents an important tool to exploit the synergies between TQM and IA. These synergies could result in higher levels of quality for the IA function and more effective implementation of TQM within the whole organisation. Lastly, the authors provide practical suggestions to support the implementation of an effective QAIP in central banks and to spread TQM philosophy within the organisation.
Originality/value
The authors contribute to the scant literature on IA quality and QAIP by focusing on central banks and shedding light on the relationship with TQM. Regardless of their importance, these topics have been largely neglected by the extant literature.
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This study was designed to assess the predictors of citizens' trust in public leaders in Ghana. Specifically, it assesses the effect of eight trust variables—competence/ability…
Abstract
Purpose
This study was designed to assess the predictors of citizens' trust in public leaders in Ghana. Specifically, it assesses the effect of eight trust variables—competence/ability, integrity, communication, benevolence, political/quality of governance, rational/economic, risk-taking and socio-demographic characteristics—on citizens' trust in public leaders—the president, members of parliament (MPs) and metropolitan, municipal and district chief executives (MMDCEs)—in Ghana from 2016 to 2018.
Design/methodology/approach
Summary statistics, bivariate correlation and binary logistic regression were employed to analyze 2,400 responses of Ghanaians obtained from the Afro-Barometer round seven surveys on Ghana (2016–2018).
Findings
The results reveal that competence/ability, that is to say, the performance of the president, MPs and MMDCEs, influence citizens' trust in these leaders. Furthermore, communication, benevolence, rationality, risk-taking and socio-demographic variables were significant predictors of citizens' trust in the president. Likewise, competence/ability, communication, politics, benevolence and socio-demographic variables were predictors of citizens' trust in MPs. Additionally, competence/ability, communication, integrity, politics, benevolence and socio-demographic variables influence citizens' trust in MMDCEs. In short, the rationality and risk-taking variables only influence trust in the president, while the political variables influence trust in MPs and MMDCEs. However, integrity influences trust in MMDCEs. Future studies can investigate the factors that account for these differences to augment the current literature.
Originality/value
This article is unique because it examines and compares citizens' trust in three categories of public leaders—the president, MPs and MMDCEs—in Ghana using nationally representative data.
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The study examines how calculative practices and accountability appear in a rural community of marginalised people in Egypt who depend on jasmine plantations that contribute to…
Abstract
Purpose
The study examines how calculative practices and accountability appear in a rural community of marginalised people in Egypt who depend on jasmine plantations that contribute to the production of global essences.
Design/methodology/approach
The data were collected from various sources, namely conversations with villagers, documents and relevant videos and news available on social media and the Internet. This study draws on the concepts of social accountability, the politics of blame avoidance and using calculative practices as a language to explain accountability in context.
Findings
The author found a lack of accountability on the part of the government and business owners, with serious implications for the livelihoods of people in a community that has been wholly dependent on jasmine plantations for a century. Power holders have deployed a blame-shifting game to avoid social responsibility. In response, calculative practices rather than advanced accounting tools are used by the poor in the community to induce power holders to be accountable.
Social implications
The findings of this study show that authorities need to take proactive steps to address the disadvantaged position of powerless people in the lower echelons of society, recognising their accountability for those people.
Originality/value
This paper enhances the understanding of the status of calculative practices and accountability in a community of marginalised people who contribute to the production of global commodities. The paper also enhances the understanding of what goes on behind the scenes with popular and prestigious commodities, whose development is initiated in poor countries, with the end product marketed in rich Western countries.
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Monique Rieger Rodrigues and Søren Munch Lindhard
The traditional construction delivery method is challenged by low trust and collaboration issues, resulting in increased project costs. The integrated project delivery (IPD…
Abstract
Purpose
The traditional construction delivery method is challenged by low trust and collaboration issues, resulting in increased project costs. The integrated project delivery (IPD) method is developed, through a contractual agreement, to overcome these challenges by creating a common set of terms, expectations and project goals.
Design/methodology/approach
A singular construction case was followed during a four-month period. Data collection consisted of contract documents and a series of semi-structured interviews with representatives from the owner, design-group and contractors.
Findings
The IPD contract was found to have a number of positive effects; it improved project behavior (e.g. trust, collaboration and communication), increased ownership among project participants and improved buildability of the design, leading to fewer surprises and interruptions in the construction phase. The study also revealed a number of challenges including contractual and legal challenges and involving too many participants in the early phases. Moreover, co-location was identified as a particular important supporting element, to build relations and improve collaboration.
Originality/value
This research identified lessons learned from the application, as well as initial barriers and persistent barriers for implementing IPD. To improve IPD application the top three lessons were as follows: 1) the contractual documents should be adapted and signed at an early stage as this increases financial transparency, 2) cost estimates should be carried as an iterative process and project main concept be freezed at an early stage to increase understanding and minimize risks, 3) only the most important project developers should be involved in the early phases, to avoid going into detailed design issues before the main concept is completed.
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Gang Yu, Zhiqiang Li, Ruochen Zeng, Yucong Jin, Min Hu and Vijayan Sugumaran
Accurate prediction of the structural condition of urban critical infrastructure is crucial for predictive maintenance. However, the existing prediction methods lack precision due…
Abstract
Purpose
Accurate prediction of the structural condition of urban critical infrastructure is crucial for predictive maintenance. However, the existing prediction methods lack precision due to limitations in utilizing heterogeneous sensing data and domain knowledge as well as insufficient generalizability resulting from limited data samples. This paper integrates implicit and qualitative expert knowledge into quantifiable values in tunnel condition assessment and proposes a tunnel structure prediction algorithm that augments a state-of-the-art attention-based long short-term memory (LSTM) model with expert rating knowledge to achieve robust prediction results to reasonably allocate maintenance resources.
Design/methodology/approach
Through formalizing domain experts' knowledge into quantitative tunnel condition index (TCI) with analytic hierarchy process (AHP), a fusion approach using sequence smoothing and sliding time window techniques is applied to the TCI and time-series sensing data. By incorporating both sensing data and expert ratings, an attention-based LSTM model is developed to improve prediction accuracy and reduce the uncertainty of structural influencing factors.
Findings
The empirical experiment in Dalian Road Tunnel in Shanghai, China showcases the effectiveness of the proposed method, which can comprehensively evaluate the tunnel structure condition and significantly improve prediction performance.
Originality/value
This study proposes a novel structure condition prediction algorithm that augments a state-of-the-art attention-based LSTM model with expert rating knowledge for robust prediction of structure condition of complex projects.
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