Search results

Institutional, economic, social and technological advancements enable openness to cope with wicked public management issues. Although open innovation (OI) is becoming a new normality for public sector entities, scholarly knowledge on this topic is not fully systematized. The article fills this gap, providing a thick and integrative account of OI to inspire public management decisions.

Following the SPAR-4-SLR protocol, a domain-based literature review has been accomplished. Consistently with the study purpose, a hybrid methodology has been designed. Bibliographic coupling permitted us to discover the research streams populating the scientific debate. The core arguments addressed within and across the streams were reported through an interpretive approach.

Starting from an intellectual core of 94 contributions, 5 research streams were spotted. OI in the public sector unfolds through an evolutionary path. Public sector entities conventionally acted as “senior partners” of privately-owned companies, providing funding (yellow cluster) and data (purple cluster) to nurture OI. An advanced perspective envisages OI as a public management model purposefully enacted by public sector entities to co-create value with relevant stakeholders (red cluster). Fitting architectures (green cluster) and mechanisms (blue cluster) should be arranged to release the potential of OI in the public sector.

The role of public sector entities in enacting OI should be revised embracing a value co-creation perspective. Tailored organizational interventions and management decisions are required to make OI a reliable and dependable public value generation model.

The article originally systematizes the scholarly knowledge about OI, presenting it as a new normality for public value generation.

Images taken from construction site interiors often suffer from low illumination and poor natural colors, which restrict their application for high-level site management purposes. The state-of-the-art low-light image enhancement method provides promising image enhancement results. However, they generally require a longer execution time to complete the enhancement. This study aims to develop a refined image enhancement approach to improve execution efficiency and performance accuracy.

To develop the refined illumination enhancement algorithm named enhanced illumination quality (EIQ), a quadratic expression was first added to the initial illumination map. Subsequently, an adjusted weight matrix was added to improve the smoothness of the illumination map. A coordinated descent optimization algorithm was then applied to minimize the processing time. Gamma correction was also applied to further enhance the illumination map. Finally, a frame comparing and averaging method was used to identify interior site progress.

The proposed refined approach took around 4.36–4.52 s to achieve the expected results while outperforming the current low-light image enhancement method. EIQ demonstrated a lower lightness-order error and provided higher object resolution in enhanced images. EIQ also has a higher structural similarity index and peak-signal-to-noise ratio, which indicated better image reconstruction performance.

The proposed approach provides an alternative to shorten the execution time, improve equalization of the illumination map and provide a better image reconstruction. The approach could be applied to low-light video enhancement tasks and other dark or poor jobsite images for object detection processes.

Research of currently limited literature sees Robotic Process Automation (RPA) as an important tool at the tactical level. However, the literature has not considered its potential contribution to creating competitive advantages. This paper aims to link RPA and Resource-based view (RBV) literature, proposing a conceptual framework boosting RPA research as part of an organizational AI strategy.

This study applied a Systematic Literature Review (SRL), combining bibliometrics and content analysis. This study also built a new framework based on the updated RBV model that was transformed based on the RPA literature review results.

By bridging the two bodies of literature on RBV and RPA, this study manages to show the strategic side of the technology. Therefore, this study brought to light the most updated fundamental concepts of complementarity and scale-free fungible resources from RBV theory and AI technologies, applied to the domains of RPA, information systems and information technology (IS/IT) through the development of a new theoretical lens. Also, this study was able to elaborate on a new conceptual framework for AI strategy formulation to help organizations on their journey to AI utilization.

The authors did not find any research that has shown the strategic side of RPA, nor any that has used a theoretical lens based on the RBV theory to show this side. To the best of the author’s knowledge, this study seems to be the first to make the case for RPA's strategic potential.

Building information modeling (BIM) is a striking development in the architecture, engineering and construction (AEC) industry, which provides in-depth information on different stages of the building lifecycle. Real estate valuation, as a fully interconnected field with the AEC industry, can benefit from 3D technical achievements in BIM technologies. Some studies have attempted to use BIM for real estate valuation procedures. However, there is still a limited understanding of appropriate mechanisms to utilize BIM for valuation purposes and the consequent impact that BIM can have on decreasing the existing uncertainties in the valuation methods. Therefore, the paper aims to analyze the literature on BIM for real estate valuation practices.

This paper presents a systematic review to analyze existing utilizations of BIM for real estate valuation practices, discovers the challenges, limitations and gaps of the current applications and presents potential domains for future investigations. Research was conducted on the Web of Science, Scopus and Google Scholar databases to find relevant references that could contribute to the study. A total of 52 publications including journal papers, conference papers and proceedings, book chapters and PhD and master's theses were identified and thoroughly reviewed. There was no limitation on the starting date of research, but the end date was May 2022.

Four domains of application have been identified: (1) developing machine learning-based valuation models using the variables that could directly be captured through BIM and industry foundation classes (IFC) data instances of building objects and their attributes; (2) evaluating the capacity of 3D factors extractable from BIM and 3D GIS in increasing the accuracy of existing valuation models; (3) employing BIM for accurate estimation of components of cost approach-based valuation practices; and (4) extraction of useful visual features for real estate valuation from BIM representations instead of 2D images through deep learning and computer vision.

This paper contributes to research efforts on utilization of 3D modeling in real estate valuation practices. In this regard, this paper presents a broad overview of the current applications of BIM for valuation procedures and provides potential ways forward for future investigations.

Public safety (communicators; e.g. 9-1-1, police, fire and ambulance call-takers and dispatchers), like many other public safety personnel (e.g. police, paramedics), (re)suffer operational stress injuries (OSIs) that are too often hidden and at a prevalence higher than the general population. Unfortunately, there are very little data for OSI rates in Canadian communicators. To the authors’ knowledge, this is the only pan-Canadian study focusing on organizational culture, and its potential influence on OSIs, within the communicator context.

The authors conducted a 179-item online survey of Canadian communicators comprising 17 validated screenings for occupational stress injuries and symptoms and four open-ended questions relating to their agency's organizational culture. The authors thematically analysed participants' open-ended responses and their screening scores.

A semi-grounded thematic approach revealed that managers and supervisors were significant contributors to negative perceptions (n = 165) of organizational culture, potentially resulting in or worsening existing OSIs. Specifically, leadership was viewed as ineffective, inconsistent, unsupportive, abusive and toxic, with limited understanding of communicator roles. Communicators described feeling devalued, particularly when leaders fail to recognize communicator OSIs, which can perpetuate stigma. Conversely, positive leaders (n = 24) were described as supportive, communicative and encouraging.

The findings suggest that while leadership behaviours are a key factor in employee well-being, it varies considerably across agencies, impacting treatment-seeking behaviours. The authors’ new understandings of leaders' roles in OSIs may help reduce the frequency and severity of communicator OSIs, helping ensure that emergency services are delivered to Canadians.

This paper aims to analyze the extent to which education for sustainable development (ESD) training enhances university teachers’ professional competence and whether it has the same effect in the digital as in the face-to-face format.

A training concept was developed based on the professional action competence model. Between 2018 and 2021, 19 training sessions were conducted with 183 university teachers: ten in face-to-face sessions and nine in the digital format. Questionnaires were administered before and after the training to determine its impact.

Overall, the training proved to be effective. There was a significant increase in professional knowledge and self-efficacy after the training, but there was no change in motivation. The face-to-face and digital formats proved to be equally effective.

The long-term effect of the training could not be determined.

There should be regular ESD training and coaching for university teachers.

There has been little research on the effectiveness of ESD teacher training, and no comparison between the face-to-face and digital approaches exists. It has been possible to train a relatively large number of university teachers from a wide range of subject areas, about two-thirds of whom have had no previous ESD experience.

Educational institutions have a special social responsibility to initiate processes of sustainability transformation in society, nevertheless, activities that effectively address students as well as employees are rather moderate. To initiate change alongside strategic and political decisions, this paper aims to present findings of a gamification intervention (hereafter referred to as climate duel), which was implemented in a field study and tested to assess its potential as a supporting and transformative approach in a university context.

A three-month field study was conducted with two universities of applied sciences. The study included an environmental impact analysis of the two participating university departments, the conception and testing of the intervention and associated surveys to evaluate the effectiveness of the intervention in order to and to obtain feedback that would allow the duel to be scaled up at other universities or institutions.

Three hundred seventy-five people took part and saved 2.6 tons of greenhouse gas emissions through their participation in the climate duel and their corresponding behavioural changes. In addition, feedback from the participants yielded positive results in terms of behavioural changes and generated valuable evidence for future implementations. Nevertheless, there is still room for improvement, especially in terms of supporting communication activities that promote social relatedness to motivate each other, share experiences or deal with implementation difficulties in everyday life.

Building on the promising effects of gamification, the study is a showcase for applied science. With the possibility of testing a theory-based intervention in practice, an implementable, effective and scalable measure for universities that helps to accelerate the transformation process is available.

This research focuses on analyzing the impact of Green Intellectual Capital (GIC) on the Environmental Performance (EP) of Spanish wineries, as well as the mediating effect of Green Ambidexterity Innovation (GAI) on the main relationship posed (GIC–EP), and the moderating effect of Top Management Environmental Awareness (TMEA) on the GAI–EP link. In addition, age, size and size and membership in a Protected Designation of Origin (PDO) to increase the accuracy of the cause–effect relationships examined.

The study proposes a conceptual model based on previous studies, which is tested using structural equations (PLS-SEM) with data collected from 196 Spanish wineries between September 2022 and January 2023.

The results of the research reveal the existence of a positive and significant relationship between the development of GIC and EP of Spanish wineries, as well as the partial mediation of GAI in this link and the positive moderation of TMEA in the GAI–EP relationship.

The originality of the study is explained by several factors. First, the study pioneered the exploration of TMEA as a moderator of the relationship between GAI and EP, allowing such analysis to improve understanding of the dynamic interaction between innovation and environmental management. Second, to the best of the authors' knowledge, there are no preceding studies that have previously proposed the theoretical model presented in this research, thus providing new scientific knowledge on the intellectual capital field. Third, the contextualization of the study in the wine sector, traditionally perceived as little knowledge-intensive, contributes significantly to the existing body of scientific knowledge on the environmental management of wineries, given that it allows the identification of the catalysing variables of EP in the Spanish wine context.

Robotic Process Automation (RPA) is a digital transformation tool that demonstrated tremendous growth in research output as well as its application in the past decade. This study attempts to identify essential research gaps and proposes future research agendas in the field by analyzing publishing trends, major stakeholders (authors, countries, affiliations, journals), key clusters and evolving themes by mapping the most recent research (2016–2022) in the field.

Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) was used to retrieve a total of 244 publications from the Web of Science (WOS) database for this analysis. The study then uses the open-source R program bibliometrix to conduct bibliometric analysis. A variety of tools and methods including collaboration network, word dynamics, co-occurrence network, thematic map and strategy map were utilized.

The analysis reveals the most influential stakeholders (country: the USA, author: Arai K, affiliation: Christ Deemed University), main clusters of intellectual structure (process mining, digital transformation, blockchain, information systems) and the evolution of themes (model innovation, artificial intelligence, big-data, design science and user acceptance) in the subject.

This study uses bibliometric analysis to provide a comprehensive overview of RPA literature which unravels the conceptual structure of the stream and proposes a research agenda for the future. Based on the growth of themes and the strategy map, this study may assist entrepreneurs and practitioners in determining field priorities for strategizing process innovation.

The paper aims to investigate the role of the network in managing the tradition and innovation paradox in the agribusiness industry. In particular, this study aims to demonstrate that agribusiness firms can innovate through tradition by joining a network, to capture the way intellectual capital (IC) is created, shared and transformed.

The authors approached the study using the social capital conceptual framework, considering the network a critical determinant of social capital, which enhances the organization's ability to share, create and utilize knowledge. Then, the authors also employed the extended territorial strategy theory. The authors derived empirical evidence from companies belonging to the PGI-labeled Consortium of Pasta di Gragnano (Consortium). The authors used a quantitative approach, carrying out a panel data analysis.

The results suggested that belonging to Consortium had a positive impact on the operating performance, the financial performance and the environment where consortium firms operate. Thus, being part of a network helps firms to innovate in a traditional industry.

The evidence of this work provided several implications for managers, IC community and the policy public. For managers, the authors observed that agribusiness firms can preserve their traditions through knowledge sharing with firms that operate in the same network. For IC community, the authors contributed to the debate on the social capital theory, arguing that the one area of IC that has received significant attention is the role of the network, which enhances the organization's ability to generate, share and apply knowledge effectively (Lin, 2017; Solitander and Tidström, 2010). Finally, the authors argued that policymakers should implement new reforms that facilitate the formation of networks, especially in socio-economic contexts where the unemployment rate is high.

This is the first study that employs quantitative analysis to investigate this paradox.