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This study aims to provide new understanding on operational and dynamic capabilities supportive to the implementation of performance-based public procurement by focusing on dyadic capabilities of a supplier and a buyer.

The study is based on the qualitative analysis of 20 interviews with informants representing Finnish public organizations and their private sector suppliers. The analysis is aligned with a theoretical framework connecting the phases of procurement and the capability types studied.

The findings of the study present the role of operational and dynamic capabilities of a buyer and a supplier in the implementation of performance-based procurement at public procurement phases. Preprocurement phase is found to greatly benefit from all three dynamic capabilities, while operational capabilities suffice in the contracting phase.

Increased understanding on capabilities needed in performance-based procurement can increase the chances of success in reaching better value for money of public services and developing supplier markets.

The study contributes to the literature on performance-based public procurement and value-based selling by taking a dyadic approach to the operational and dynamic capabilities needed in business with an emphasis on performance. As the focus in public procurement shifts increasingly from resources to performance, involving a joint effort between buyer and supplier, the study provides insights into role of dyadic capabilities and explains how dynamic and operational capabilities together support the phases of performance-based procurement implementation in the public sector.

This paper aims to investigate how the technical logics of a World Bank-led performance management reform interacted with the social, political and historical logics within a developing country (DC) regulatory organisation. The institutional environment both within and outside the organisation was considered to understand the performance management reform experience.

An interview-based, longitudinal, qualitative case study approach was used to locate accounting in its technical, social and political space. A large regulatory organisation in Bangladesh was investigated as a case study to reveal how traditional organisational practices and public sector norms mediated a performance management reform. Informed by the institutional logics (IL) and economies of worth perspectives, interviews were used to locate IL at macro-level and associated organisational actors’ strategic responses that ultimately shaped the implementation of a performance management system (PMS).

This paper reveals how accounting, as a social and political practice, influences accountability reform within a regulatory organisation. It provides an account of both the processes and resultant practices of an accounting reform initiative. While a consultative and transparent performance management process was intended to enhance accountability, it challenged the traditional organisational authority structure and culture. The new PMS retained, modified and adjusted a number of its characteristics over time. These adjustments reflected an amalgamation of the influence of institutional pressures from powerful constituents and the ability of the local agents (managers) in negotiating and mediating the institutionalisation of a new PMS.

The findings of this paper carry major implications for policy makers, particularly with respect to the design of future reform programs on PMS.

This paper offers a theoretical mapping of IL and its organisation-level interpretations and practices. Thus, the authors locate power and influence at field and firm levels. The findings of this study reflect historical, political and cultural backgrounds of the case study organisation and how these contextual forces were active in shaping the meaning of reform logics. Though the institutional environment and agents were unique to the case study organisation, this research offers a “process generalisation” that reveals how a best practice PMS was translated and transformed by the traditional organisational practices in a DC regulatory context.

The exact process of construction projects performance assessment and benchmarking still remains subjective relying on qualitative techniques, which does not allow stakeholders to address the issues and the drawbacks of their respective projects as effectively as possible for performance improvement purposes. Hence, this research aims to establish a unified project performance score (PPS) for assessing and comparing projects performance.

Data were collected from Construction Industry Institute (CII) members and through University of Wisconsin active research projects. Exploratory data analysis was done to investigate the calculated performance metrics and the collected data characteristics. Data were converted into six performance metrics which were used as the independent variables in creating the PPS model. Logistic regression model was developed to generate the unified PPS equation in order to explain the variables that significantly affect construction projects successful post-completion performance. The PPS model was then applied on the collected dataset to benchmark projects in terms of project delivery systems, compensation types and project types in order to showcase the PPS capabilities and possible applications.

The model revealed that construction cost and schedule growth are the most important metrics in assessing projects performance, while RFIs’ processing time and change orders per million dollars were the features with the least effect on the PPS value. The authors found that integrated project delivery (IPD) and target value (TV) projects outperformed all other project delivery and compensation types. While, industrial projects showed the worst performance, as compared to commercial or institutional projects.

The PPS model can be used to assess the performance of any pool of executed projects, and introducing a novel addition to the field of construction business analytics which is a supplementary tool to successful decision making and performance improvement. Additionally, the bidding selection system can be revolutionized from a cost-based to a performance based one using the PPS model to improve the outcomes of the buyout process.

The aim of this study is to empirically explore and analyze the concrete tasks of output measurement and the inherent challenges related to these tasks in a traditional and autonomous professional public work setting – the judicial system.

The analysis of the tasks is based on a categorization of general performance measurement motives (control-motivate-learn) and main stakeholder levels (society-organization-professionals). The analysis is exploratory and conducted as an empirical content analysis on materials and reports produced in two performance improvement projects conducted in European justice organizations.

The identified main tasks in the different categories are related to managing resources, controlling performance deviations, and encouraging improvement and development of performance. Based on the results, key improvement areas connected to output measurement in professional public organizations are connected to the improvement of objectivity and fairness in budgeting and work allocation practices, improvement of output measures' versatility and informativeness to highlight motivational and learning purposes, improvement of professional self-management in setting output targets and producing outputs, as well as improvement of organizational learning from the output measurement.

The paper presents empirically founded practical examples of challenges and improvement opportunities related to the tasks of output measurement in professional public organization.

This paper fulfils an identified need to study how general performance management motives realize as concrete tasks of output measurement in justice organizations.

This paper aims to examine the double-edged sword effects of work-related rumination on employees’ innovative performance. Drawing upon Conservation of Resources (COR) theory, this study developed a model to reveal the mechanism through which work-related rumination affects employees’ innovative performance.

Data were collected from a sample of employees and their managers at an information technology services firm in China. A two-wave data collection method with a one-month interval was employed. The analysis was conducted using structural equation modeling on 482 paired manager-subordinate responses.

Our findings highlight the complex interplay between work-related rumination and innovative performance. Specifically, affective rumination was found to detract from employees’ innovative performance, whereas problem-solving pondering had a positive effect. Notably, creative self-efficacy emerged as a key mediator in these relationships. Furthermore, employees’ perceived organizational support moderated the impact of rumination on creative self-efficacy and, consequently, on innovative performance, buffering the negative effects of affective rumination and enhancing the positive effects of problem-solving pondering.

Firstly, it enriches the existing literature on work-related rumination by exploring its nuanced influence on employees’ innovative performance. Secondly, it illuminates the underlying mechanism through which work-related rumination affects innovative performance, mediated by creative self-efficacy. Lastly, it highlights the crucial role of perceived organizational support in moderating these relationships, offering valuable insights for practitioners seeking to foster a more innovative work environment.

There are significant challenges facing academics and senior leaders in higher education (HE) institutions internationally. These challenges have led to increasing levels of metrification and managerialism, which has fostered work intensification, reduced professional autonomy, stress and burnout amongst faculty staff. Traditional approaches for supporting and developing staff, such as mentoring and training, do not provide the resources faculty staff need to meet the challenges they face. In contrast, experiences in various other educational and professional settings have demonstrated the effectiveness of workplace coaching in fostering well-being, adaptability, flexibility and sustainable performance. This review argues that workplace coaching could similarly support academics.

A critical literature review evaluates coaching interventions across educational and comparable sectors to identify positive well-being and performance-based outcomes.

While there is limited research into the efficacy of coaching interventions for faculty staff in HE, research in other educational, as well as comparable professional contexts, identifies significant sustainable improvements in well-being and performance for professional staff.

The evidence that identifies positive outcomes of coaching in professional workplace contexts is compelling. This critical review uses some of that evidence base to propose an agenda to implement coaching programmes that support faculty staff to improve their well-being and performance.

While there are published research studies on the positive outcomes of coaching in primary and secondary educational contexts, as well as for postgraduate research students, there is very limited knowledge, practice and research about coaching faculty staff in HE. This article addresses this by critically reviewing a broad range of literature to identify coaching and research initiatives for faculty staff in HE institutions.

This study investigated the relationships among big data analytics capability (BDAC), low-cost advantage, differentiation advantage, market and operational performance underpinning the resource-based view (RBV) and the entanglement view of sociomaterialism (EVS) theories.

A total of 191 responses from members of the Federation of Malaysian Manufacturers were analysed using a structural equation modelling approach.

This study has conclusively demonstrated that BDAC is indeed a resource bundle comprising human skills, tangible and intangible resources. This study found that BDAC positively influences competitive advantage and firm performance. The differentiation advantage was found to be a key factor in explaining market performance. Theoretically, both RBV and EVS could be used to link BDAC, differentiation advantage and market performance to explain superior firm performance.

First, the sample is restricted to the manufacturers in Malaysia. Second, a single independent variable, BDAC, is used as a higher-order capability to influence competitive advantage, and thus, superior firm performance. Third, this study uses a self-reported survey, which means that only one respondent from each firm answered the questions. Fourth, this study excludes the focused strategy as it aims to investigate the competitive strategy used in the broader industry environment, rather than in a specific segment pursuing a focused strategy.

First, BDAC is a valuable, rare, inimitable and non-substitutable tool for manufacturers to enhance their firm performance. Second, BDAC is crucial for manufacturing firms to reduce costs and differentiate themselves. Third, a low-cost advantage may not help manufacturers achieve greater market and operational performance.

The relationship among BDAC, low-cost advantage, differentiation advantage, market and operational performance within manufacturing industry is empirically tested.

This research demonstrates the theoretical merit of a reference architecture-based approach to life cycle cost (LCC) analysis system provision in the built environment. LCC insight is considered fundamental to sustainable decision making by asset managers; however, the current capabilities in practice do not align with the political ambition and the scale of competencies required to realise sectoral emissions–reduction targets.

In pursuing practical outcomes, the study employs a custom design science research-inspired methodology. Domain requirements are gathered via literature research as an initial top-down software reference architecture which is refined, bottom-up, through testing and implementation in a representative case study. A prototype IT system and reference architecture artefact are developed and used to evaluate the concept qualitatively through broad practitioner focus groups.

Sentiment analysis of the expert opinions is broadly positive and helps to substantiate the proposal’s theoretical suitability in addressing the scalability challenge. Additionally, constructive feedback provides guidance towards this trajectory, highlighting the importance of aligning with existing communities and standards, broadening future research scope to consider further scenarios and prioritisation of efforts to build trust around contracts and data quality.

The novelty of the work is the provision of the reusable LCC reference architecture development methodology.

The concept has the potential to provide LCC capabilities to industry at scale while the artefacts developed herein can be appended to existing LCC standards as implementation guidance to support IT system developers. Furthermore, the developed methodology can be employed in harmonisation efforts between policy and practice.

This paper aims to identify and classify the parameters that construct the input, processes, output, productivity and outcome variables that affect performance. These parameters are used in the evaluation model to measure research performance in universities so that they can be used as the basis for making leadership policies both at the national and institutional levels.

The design of this research is a quantitative research method using a survey questionnaire that was sent to the heads of research institutions at universities in Indonesia. To obtain these parameters, a test for determining the value of the loading factor was used.

The authors found that input variable parameters consisted of 10 parameters; process variable consisted of 22 parameters; output variable parameters consisted of 8 parameters; productivity variable consisted of 4 parameters; and outcome variable parameters consisted of 10 parameters.

One approach to obtain parameters is through systems theory, where every element that makes up the organization contributes to the achievement of goals. This study attempted to develop parameters in the performance appraisal model of systems theory-based research institutions that are adapted to trends in the direction of research in universities. These parameters are based on aspects of input, process, output, productivity and outcome.

The current study has a two-fold purpose. Firstly, it aims to analyze the extent to which knowledge management (KM) affects the performance of individuals (task and contextual) on the one hand and that of organizations (product or service, perceived and financial) on the other hand. Secondly, it proposes to investigate the mediating effect of motivation and innovation in the relationship between KM and individual and organizational performance.

Partial least squares structural equation modeling (PLS-SEM) was employed in this study, with mediation analysis performed using advanced PLS-SEM techniques. A total of 1,284 respondents from organizations in both the public and private sectors were included in the sample.

The findings emphasize that KM has a more significant direct effect on individual performance compared to organizational performance. Concurrently, in terms of indirect influence, it is found that KM, through motivation and innovation, has a positive and significant effect on both individual and organizational performances, with a higher influence on the organizational one.

The originality of the work can be noted in designing two different structural models to represent the proposed relationships at the individual and organizational levels. These findings could provide organizational decision makers with empirical evidence, helping them (1) internalize the significance of the KM process in organizations as well as its subsequent effects on individual and organizational performance and (2) identify factors that mediate variable relationships.