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Awarding contracts based solely on the lowest price is unsuitable for every project. Consequently, most procurement systems in developed countries have progressed to the multicriteria selection practices (MSPs) for tender evaluation. MSPs consider a range of quality measures, such as completion time, life cycle cost, functional characteristics, environmental impact and innovation, alongside bid price. This study examines the prevailing MSPs in Sri Lankan public tender evaluations to enhance the effectiveness of the local tender evaluation process.

A desk study approach was employed to collect bidding documents, resulting in the identification of 66 documents. A systematic screening process was then applied to identify those bidding documents that incorporated MSPs. Subsequently, content analysis was conducted to determine the common features of the functions used in MSPs.

The study identified six primary functions related to MSPs incorporated in the bidding documents to procure building and substation projects. Three functions follow the price-to-quality method, while the remaining three follow the quality-to-price method. Among these identified functions, four functions employ objective evaluation criteria, such as thickness, capacity and operational loss. The other two functions utilize subjective evaluation criteria, such as the project’s design and technical specifications. Contract awarding will be based on either the highest score or the lowest bid, depending on the function type.

This study’s originality lies in exploring MSPs in the Sri Lankan public tender evaluation process and in disclosing their characteristics to promote the MSPs in Sri Lanka and developing countries.

This study examines the functions of informal communication in organizations. Informal communication can be characterized as any interaction within an organization in which two or more individuals assume personal roles rather than their professional roles and in which employees do not intend to solve work-related problems. Despite its central role in organizations, a comprehensive understanding of the specific functions of informal communication within workplace dynamics is lacking.

We reviewed existing literature to identify the functions of informal communication and then surveyed employees (N = 1,380). We asked them to indicate their agreement with statements measuring the functions of informal communication that we derived from the literature.

Using exploratory factor analysis, we identified four core functions: stress management and recreation, nurturing private relationships, fostering a sense of belonging and connectedness and facilitating information exchange and coordination. We then examined how these core functions related to job-related and sociodemographic characteristics. Our findings underscore the importance of informal communication in organizations, particularly in facilitating the development and maintenance of social relationships as well as information exchange and coordination, both of which play critical roles in organizational success.

This study is among the first to systematize the functions of informal communication in organizations and to empirically extract core functions that can be used for further research. It is also highly relevant to practitioners of organizational management and organizational communication.

The current study seeks first to examine the prediction of school functioning in crises during the COVID-19 pandemic by school principals’ self-efficacy; second, to explore the differences in all dimensions of self-efficacy and school functioning during crises in Arab and Jewish schools in Israel and third, to determine which of school principals’ self-efficacy dimensions best predicted school functioning during the COVID-19 crisis.

Data were aggregated at the school level for structural equation modeling (SEM) analysis using AMOS analysis of 103 middle schools across Israel, 53 from Jewish and 50 from Arab society. Participants included 103 school principals (who answered the school principals’ self-efficacy questionnaire) and 1,031 teachers who answered the school functioning during crises questionnaire (477 Jewish teachers and 554 Arab teachers).

The findings showed that the principals’ self-efficacy positively predicted school functioning during the crisis. Among the five self-efficacy dimensions (general management efficacy, leadership efficacy, human relations efficacy, efficacy in managing external relations and pedagogical management efficacy), significant differences were found only in “external relations efficacy,” which was higher for “Arab” school principals; the only dimension that predicted school functioning during crises in both societies was “human relations efficacy.”

The current results emphasize the importance of principals’ self-efficacy in general and specifically caring leadership practices “human relations efficacy” in their relations with the school staff, the students and the parents for effective school coping and functioning during crises in two societies in Israel: Arab and Jewish. Further, no previous studies have explored this correlation.

Fine-tuning pre-trained language models (PLMs), e.g. SciBERT, generally require large numbers of annotated data to achieve state-of-the-art performance on a range of NLP tasks in the scientific domain. However, obtaining fine-tuning data for scientific NLP tasks is still challenging and expensive. In this paper, the authors propose the mix prompt tuning (MPT), which is a semi-supervised method aiming to alleviate the dependence on annotated data and improve the performance of multi-granularity academic function recognition tasks.

Specifically, the proposed method provides multi-perspective representations by combining manually designed prompt templates with automatically learned continuous prompt templates to help the given academic function recognition task take full advantage of knowledge in PLMs. Based on these prompt templates and the fine-tuned PLM, a large number of pseudo labels are assigned to the unlabelled examples. Finally, the authors further fine-tune the PLM using the pseudo training set. The authors evaluate the method on three academic function recognition tasks of different granularity including the citation function, the abstract sentence function and the keyword function, with data sets from the computer science domain and the biomedical domain.

Extensive experiments demonstrate the effectiveness of the method and statistically significant improvements against strong baselines. In particular, it achieves an average increase of 5% in Macro-F1 score compared with fine-tuning, and 6% in Macro-F1 score compared with other semi-supervised methods under low-resource settings.

In addition, MPT is a general method that can be easily applied to other low-resource scientific classification tasks.

In this study, we investigate how capability in managing intellectual property may be treated as a type of “dynamic capability,” and we seek to understand how, when it is linked to the new technology development capability of a complex technological organization, these two types of dynamic capabilities may coevolve.

We conducted a longitudinal empirical case study of Airbus, incorporating an abductive research methodology that required investigating theory and empirical data concurrently and iteratively. The data, ranging over a period of two decades from 2000 to 2021, was collected from four different sources, including interviews, internal company documents, publicly available information and patent data.

Our main findings are that the capabilities and roles of the Intellectual Property function in Airbus and their interaction with the company's Technology function have indeed influenced the overall innovation strategy of the organization, and that three coevolutionary phases may be identified in the interactive development of the two functions.

Our investigation into how new technology development and intellectual property (IP) management capabilities coevolve within complex technological organizations, exemplified by Airbus, provides significant theoretical and practical implications. Theoretically, it enhances understanding of capability co-development dynamics in complex organizations, particularly in strategic IP management. Practically, it suggests aligning IP strategy with overall corporate objectives and optimizing organizational structures to promote collaboration and efficiency across IP and technology teams. This alignment may foster innovation, maximize the value of intellectual assets and strengthen collaborations, positioning organizations for long-term success in competitive landscapes.

This study makes a fresh contribution to the innovation studies literature by showing how if intellectual property management is treated as a core function of a complex technological organization – rather than simply as a vehicle for protecting new inventions and products after the fact or simply as a constituent part of the organization's legal function – it may contribute proactively to the organization's technological innovation performance. We also address the current gap in the academic literature for a clear understanding of the processes by which different function-specific dynamic capabilities may coevolve in a complex organization operating as part of a dynamic and complex adaptive system.

Ensuring the safety of structures is important. However, when a structure possesses both an implicit performance function and an extremely small failure probability, traditional methods struggle to conduct a reliability analysis. Therefore, this paper proposes a reliability analysis method aimed at enhancing the efficiency of rare event analysis, using the widely recognized Relevant Vector Machine (RVM).

Drawing from the principles of importance sampling (IS), this paper employs Harris Hawks Optimization (HHO) to ascertain the optimal design point. This approach not only guarantees precision but also facilitates the RVM in approximating the limit state surface. When the U learning function, designed for Kriging, is applied to RVM, it results in sample clustering in the design of experiment (DoE). Therefore, this paper proposes a FU learning function, which is more suitable for RVM.

Three numerical examples and two engineering problem demonstrate the effectiveness of the proposed method.

By employing the HHO algorithm, this paper innovatively applies RVM in IS reliability analysis, proposing a novel method termed RVM-HIS. The RVM-HIS demonstrates exceptional computational efficiency, making it eminently suitable for rare events reliability analysis with implicit performance function. Moreover, the computational efficiency of RVM-HIS has been significantly enhanced through the improvement of the U learning function.

The goal of this study was to understand the relationships between mentoring roles, career calling, and the transmission of tacit knowledge in the setting of executive development centers. The purpose of this research was to determine if there is a link between mentoring roles and the transmission of tacit knowledge and, if so, to what extent mentoring structure and culture moderate this link.

The study used a quantitative strategy based on partial least squares structural equation modeling (PLS-SEM) to examine information gathered from 287 workers at four executive development centers. Mentoring roles, vocational calling, and the transmission of tacit knowledge were quantified using scales derived from existing research.

Results showed a beneficial association between mentoring roles and vocational interest. Tacit knowledge was more likely to be shared when it was directly related to one’s chosen profession. A person’s vocation mediated the connection between mentoring roles and the transmission of tacit knowledge. Furthermore, the form of mentoring moderated the relationship of mentoring roles and the transfer of tacit knowledge.

This study is novel because it investigates the interplay between mentoring roles, vocational vocation, and the transmission of tacit knowledge in a non-traditional business setting. This research emphasizes the mediating impact of vocation and the moderating effect of mentorship structure in influencing knowledge-sharing practices in Pakistan’s public sector.

Anecdotal evidence indicates the internal audit function may be crucial in supporting the implementation of ESG practices and reporting. However, thus far, no study has been empirically conducted to check how and why internal audit function might affect ESG performance. This study aims to address this gap by examining whether the internal audit budget is positively related to the ESG performance of Malaysian listed firms. It also explores whether the sourcing arrangement of the internal audit function can moderate the internal audit budget – ESG nexus.

The secondary data for the paper is extracted from two main sources, namely, the Thomson Reuters Eikon database and firms’ annual reports that were downloaded from the Bursa Malaysia website. The final sample consists of public firms listed on Bursa Malaysia over the period 2010 to 2019. Multivariate tests are used to examine the linkage between the variables.

The results show that the relationship between the annual internal audit budget and ESG performance is contingent on the sourcing arrangement of the internal audit function. Specifically, the results show that the annual internal audit budget has a positive impact on ESG performance for firms with an in-house internal audit function but not for firms outsourcing an internal audit function to external providers. Overall, the results suggest that the annual internal audit budget promotes ESG performance for firms performing their internal audit activities internally.

The findings of this paper provide a strong motivation for authorities in Malaysia to develop new policies and rules aiming at ensuring that internal audit departments are adequately resourced to function effectively, thereby promoting corporate ESG performance. Moreover, the findings may be useful in informing the board of directors and other policymakers that establishing an in-house internal audit department assists in advancing corporate sustainability performance.

The findings of this paper suggest that investors, creditors and other stakeholders should link ESG reporting with the attributes of the internal audit function and outsourcing arrangement when evaluating firm performance. The total annual costs allocated to the internal audit function coupled with the outsourcing arrangement by an external provider should be considered for the overall assessment of the ESG performance and provide additional warranty towards corporate goals’ achievement and sustainability for the society.

This study extends previous studies on the determinants of ESG performance by focusing on two crucial aspects of the internal audit function: the annual budget and the outsourcing arrangement, a hitherto largely unexplored mechanism by the existing literature.

Natural disasters cause serious operational risks and disruptions, which further impact the food supply in and around the disaster-impacted area. Resilient functions in the supply chain are required to absorb the impact of resultant disruptions in perishable food supply chains (FSC). The present study identifies specific resilient functions to overcome the problems created by natural disasters in the FSC context.

The quality function deployment (QFD) method is utilized for identifying these relations. Further, fuzzy term sets and the analytical hierarchy process (AHP) are used to prioritize the identified problems. The results obtained are employed to construct a QFD matrix with the solutions, followed by the technique for order of preference by similarity to the ideal solution (TOPSIS) on the house of quality (HOQ) matrix between the identified problems and functions.

The results from the study reflect that the shortage of employees in affected areas is the major problem caused by a natural disaster, followed by the food movement problem. The results from the analysis matrix conclude that information sharing should be kept at the highest priority by policymakers to build and increase resilient functions and sustainable crisis management in a perishable FSC network.

The study suggests practical implications for managing a FSC crisis during a natural disaster. The unique contribution of this research lies in finding the correlation and importance ranking among different resilience functions, which is crucial for managing a FSC crisis during a natural disaster.

The aim of this study is to investigate the influence of Project Management Office (PMO) functions on project performance in businesses in Lower Middle-Income Countries (LMIC) using Partial Least Square–Structural Equation Modelling (PLS–SEM).

Utilizing close-ended questionnaires in a cross-sectional survey, 256 project professionals from 10 business sectors in Ghana views were elicited. The questions were developed through a comprehensive literature review and involved 27 PMO functional measures grouped into 6 and 19 project performance measures grouped into 6. Data collected was then analysed using the PLS–SEM to validate the hypothetical relationship.

The PLS–SEM model supported 13 (t > 1.65) out of 36 hypotheses investigating the relationship between PMO functions and project performance. Variations in the PMO functions moderately (R2 = 0.34) explained the performance of projects. The aggregate activities of the PMO had the highest significant influence on environmental performance (R2 = 0.467). The topmost PMO function was identified as monitoring and controlling project performance, and it was significantly associated with cost (ß = 0.265, p < 0.05), quality (ß = 0.291, p < 0.05) and project scope (ß = 0.265 p < 0.05) performance.

This research has brought more illumination to the functions of PMOs and its influence on project performance. The results suggest that PMO activities, when tailored to the business context, can significantly change project performance variables.

Most research on PMO and project performance has been limited to developed countries or a single sector. This study uniquely expands the business sectors and focuses on LMICs.