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Challenges associated with ensuring the accuracy and reliability of cost estimation of highway construction bid items are of significant interest to state highway transportation agencies. Even with the existing research undertaken on the subject, the problem of inaccurate estimation of highway bid items still exists. This paper aims to assess the accuracy of the cost estimation methods employed in the selected studies to provide insights into how well they perform empirically. Additionally, this research seeks to identify, synthesize and assess the impact of the factors affecting highway unit prices because they affect the total cost of highway construction costs.

This paper systematically searched, selected and reviewed 105 papers from Scopus, Google Scholar, American Society of Civil Engineers (ASCE), Transportation Research Board (TRB) and Science Direct (SD) on conceptual cost estimation of highway bid items. This study used content and nonparametric statistical analyses to determine research trends, identify, categorize the factors influencing highway unit prices and assess the combined performance of conceptual cost prediction models.

Findings from the trend analysis showed that between 1983 and 2019 North America, Asia, Europe and the Middle East contributed the most to improving highway cost estimation research. Aggregating the quantitative results and weighting the findings using each study's sample size revealed that the average error between the actual and the estimated project costs of Monte-Carlo simulation models (5.49%) performed better compared to the Bayesian model (5.95%), support vector machines (6.03%), case-based reasoning (11.69%), artificial neural networks (12.62%) and regression models (13.96%). This paper identified 41 factors and was grouped into three categories, namely: (1) factors relating to project characteristics; (2) organizational factors and (3) estimate factors based on the common classification used in the selected papers. The mean ranking analysis showed that most of the selected papers used project-specific factors more when estimating highway construction bid items than the other factors.

This paper contributes to the body of knowledge by analyzing and comparing the performance of highway cost estimation models, identifying and categorizing a comprehensive list of cost drivers to stimulate future studies in improving highway construction cost estimates.

International Journal of Operations and Production Management (IJOPM)'s Impact Pathway (IP) section has been launched in 2020 to host short contributions grounded in current managerial practices and/or policy development, challenging established operations and supply chain management (OSCM) knowledge and highlighting innovative and relevant research directions. This commentary reflects on the achievements of the section, delineates the key features of IP papers and stimulates further development.

This commentary provides a brief overview of the IJOPM's IP section, taking stock of the contributions that have been published so far, analysing their topics, methodologies, insights and impact.

The 19 contributions published over the last three years have dealt with a variety of emerging topics, ranging from the COVID-19 response to additive manufacturing, leveraging on key evidence from managerial practice that challenges consolidated knowledge and theory, providing clear research directions as well as managerial and/or policy guidelines.

The commentary reflects on the importance of phenomenon-driven research that seeks to bridge the gap between theory and practice, thus increasing the impact and reach of OSCM research. This is a call for contributions from scholars, business leaders and policymakers to develop further impact-oriented research.

Gender bias and stereotypes are universal issues in today’s society. This study presents a comprehensive review of women’s leadership based on bibliometric analysis. The feminist approach to leadership is helpful in many ways, and it could be the type of leadership needed in the challenging world of academia. Women present unique characteristics and traits, particularly their motherly approach to leadership.

A review of the literature based on bibliometric analysis by mapping the knowledge structure of the subject is conferred by uncovering the past, present and future trends based on three bibliometric analyses.

The finding suggests that gender equality, stereotypes and barriers in women’s leadership are at the forefront of the subject in HEIs. The overall system, mindset and willingness for institutional transformation are needed to change the mindset of accepting women as leaders of HEIs.

This study brought the significant idea of increasing women’s empowerment in HEIs, eventually strengthening institutional leadership’s capability towards advanced education.

This study would present a crucial foundation in women’s empowerment, particularly from the HEIs perspective and from the generic women’s leadership literature.

This research aims to demonstrate the possible link between the sociodemographic profile of visitors motivated by the visit to flamenco shows and the city of Córdoba (Spain), and the preferences and sensations regarding these experiences.

The methodology used (multilayer perceptron) is based on the development of an artificial neural network.

The results show that the variables age and educational level are determining factors in the profile of the visitor. Also, as the level of income increases, so does the interest in flamenco, a fact that can be useful to determine the target audience for this type of shows.

Flamenco is an art that originated in the Andalusian region that arouses the interest of the visitor due to its music, way of singing and dance. Flamenco is a popular art that excites and awakens the senses of those who attend this dance, song and guitar show. Its recognition as Intangible Heritage of Humanity by United Nations Educational, Scientific and Cultural Organization (UNESCO) since 2010, makes it a tourist product that motivates visitors to travel to the city of Córdoba (Spain), being also one of flamenco's places of origin. Córdoba has this art in its tourist offer so that the identity of the city has two aspects: patrimonial and immaterial, among the flamenco highlighted.

The purpose of this paper is to continue and extend the ongoing conversation about greatness in American business.

This survey, conducted in 2021, replicates and extends McCormick and Folsom’s 2001 and 2011 rankings of the greatest entrepreneurs and businesspeople in American history. The authors’ pool surveyed 51 experts to develop an updated ranking and explore factors of greatness.

Henry Ford topped the ranking followed by John D. Rockefeller and Steve Jobs. Business scholars ranked Oprah Winfrey the greatest female and minority businessperson.

The authors extend previous research by surveying the authors’ expert pool about factors of greatness in American business history. “Ability to imagine or envision the future” ranked highest with “created wealth for shareholders” in last place.

This paper aims to analyse the character and strength of the claims made in an emerging literature offering a sociology of financial reporting principles.

The analysis evaluates exemplary works in the literature against the characteristics of the paranoid style first identified by Richard Hofstadter: overheated claims of a far-reaching, malign and collusive machinery of influence; a reductive, rationalistic and dualistic reading of events; weak empirics; and weak theorisation.

A significant stream within the literature is coming to be constructed in the paranoid style. Paranoid stylistics, used as a diagnostic tool, alerts us here to distorted judgement.

Alternative ways of avoiding the dangers of paranoid-style readings are suggested, ranging from resisting the temptations towards such readings to a radical re-working of the epistemics of “socio-accounting”.

The danger of allowing the conclusions advanced in the literature to go unchallenged is that they may influence society’s attitude to accounting, public policy-making and scholars’ willingness to contribute to the crafting of reporting principles and standards.

Although paranoid style analysis has been widely used to examine narratives in other academic fields, to the best of the author’s knowledge, this is the first study to apply it to scholarly accounting.

This paper explores how INGOs communicate their activities and achievements. In doing so, the study seeks to increase our understanding of INGOs' accountability practices.

This paper uses thematic analysis to analyse 90 ‘leaders’ letters' (the letters that many charities include at the beginning of their Annual Reports and Accounts), published by 39 INGOs between 2015 and 2018.

This paper argues that within the Annual Report letters under consideration, INGOs' accountability practices focus on quantitative, process-driven, output reporting. In doing so, it is the actions and agency of INGOs that are primarily emphasised. INGO constituents are largely excluded from representation. Donors are presented only as contributors of financial capital. Drawing on field theory, the paper argues that this representational practice means INGO constituents are almost irrelevant to INGOs' representational and accountability communication practices.

This paper is indebted to previous important work and, building on such scholarship, seeks to contribute to the ongoing conversation about INGO accountability. While reinforcing some prior knowledge, the findings here also differ in the understanding of how donors are portrayed. The paper extends previous analyses by using field theory to show that the INGO field as considered here is a space in which representations of accountability are based on organisational and transactional factors, and does not value the humanity of INGOs' constituents. This connects to operations of power, between donors, INGOs, and constituents, and reinforces inequitable power within the development system.

Successful firms are important sources of productivity, employment and economic stability in societies. As the micro-level origins of firm innovations are increasingly attracting attention amongst innovation scholars, the purpose of this study is to investigate the role of managerial innovativeness, i.e. small firm managers' innovative behaviour for firm performance. Specifically, the present study investigates managerial innovativeness as a predictor of small firms' product innovativeness and market performance.

This research model suggests that managerial innovativeness is positively linked to firms' market performance and that product innovativeness partially mediates the relationship between managerial innovativeness and market performance. The model was tested using partial least squares structural equation modelling (PLS-SEM) with a dataset (N = 93) collected from small logistics firms in South-Eastern Finland.

The findings support the authors' hypotheses and show that managerial innovativeness had a direct effect on firms' product innovativeness and market performance. The authors also found that firms' product innovativeness mediated the relationship between managerial innovativeness and firms' market performance.

This is one of the few studies that shed light on and show that managerial innovativeness is significantly and positively related with small firms' product innovativeness and market performance, whereas earlier research tended to focus on managers' personalities, traits, characteristics or managerial actions, leaving managerial innovativeness unexplored.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

This study aims to examine the impact of the gameful experience on behavioural outcomes. Drawing from stimulus–organism–response theory, it proposes and tests a new model that investigates the relationship between the gameful experience, brand loyalty and intention to use gamified branded applications in the sports context. In addition, it explores the mediating role of customer–brand engagement (CBE) and the moderating role of self-image congruity (SIC).

A sample of 436 active users of sport-related branded gamified applications was used to test the model. Data was collected from online sports forums, brands’ Facebook communities and during sporting events.

Results indicate that the gameful experience positively and directly impacts behavioural intentions but does not directly influence brand loyalty. This relationship becomes partially significant when mediated by CBE. In addition, results show that users with high levels of SIC are more likely to continue using the gamified application, whereas users with low levels are more likely to engage with the brand.

This study expands the gamification literature in the sports sector by revealing the importance of the gameful experience in driving loyalty, behavioural intentions and CBE. It proposes a new model that sheds light on the emotional aspect of the interaction between a user and a gamified system and the importance of exploring the effects of moderators, such as SIC, in these relationships.