bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of smart cities in sustainable development: empirical evidence from Türkiye
Authors: Ozarslan Dogan Basak 
Published: June 2024

PurposeThis study aims to empirically examine the effects of smart cities on sustainable development for the period 1990–2019 for Türkiye.Design/methodology/approachThe relationship between smart cities and sustainable development was analyzed with the help of the ARDL Bounds Test. In addition, the consistency of the model was tested with the FMOLS estimator. The indicators of the smart city were selected following the literature to represent smart cities, and the author created the smart city index. The study used other variables thought to impact sustainable development as secondary data.FindingsThe results show that smart cities positively and significantly impact sustainable development in Turkiye in both models during the sampling period. In addition, while real GDP, population density, and financial development variables positively affect sustainable development, population density has a negative effect on sustainable development, according to the results obtained from FMOLS estimators.Originality/valueThe first novelty of this study is the creation of the smart city index. The second novelty is that there are almost no studies on the effects of smart cities on sustainable development, especially for Türkiye.
Three decades of research in the perceived organizational performance: a bibliometric analysis
Authors: Solanki Mamta , Baroda Satyawan 
Published: June 2024

Purpose
Many conceptual, empirical and exploratory studies on perceived organizational performance have been conducted in various domains. But, no attempt has been made to provide a comprehensive scientific analysis of that area. Thus, by synthesizing knowledge structures, the aim of this study is to highlight the research field's trend.

Design/methodology/approach
A collection of 115 paper were included from Scopus and Web of science database covering the years 1994–2023. A bibliometric study was conducted on the perceived performance of the organization. The research used Biblioshiny, an online application part of the R-language Bibliometrix package (Aria and Cuccurullo, 2017). Significant journals, authors, countries, articles and topics were discovered using the automated workflow feature of the program. Both social network analysis and conceptual network analysis were done.

Findings
The outcomes display how the themes of perceived organizational performance have evolved as an interdisciplinary field. Initially, the field's analysis progressively expanded to include subjects like leadership and corporate social responsibility. The social structure of the domain is revealed by this research beside the conceptual structure. This study provides valuable new knowledge on areas that require more research.

Practical implications
This study offers significant insights regarding the perceived performance of organizations. It directs the reader toward the potential topics for research while highlighting the most discussed concerns in the field. By revealing the social and conceptual structure of the field, it gives upcoming academics knowledge about novel topics, contexts and collaborative opportunities.

Originality/value
In the past, several cross-national conceptual and empirical investigations in various areas have been carried out. This study's main contribution is the combining of the scattered literature on this topic and the identification of significant authors, sources and documents associated with perceived organizational performance.
How to ameliorate employee engagement among government school teachers? Empirical evidence
Authors: Kaur Raminderpreet , Randhawa Gurpreet 
Published: June 2024

PurposeThe purpose of this paper is to investigate the impact of three predictors (emotional intelligence, perceived supervisor support and work–life balance) on employee engagement.Design/methodology/approachThe employee engagement and its predictor variables considered have been assessed by a survey using a structured questionnaire. Data were collected for 628 government school teachers of Punjab state of India. SEM using SmartPLS software was used to estimate the relationship between employee engagement and its predictors (emotional intelligence, perceived supervisor support and work–life balance).FindingsThe results reveal that the three predictors (emotional intelligence, perceived supervisor support and work–life balance) have a significant positive impact on employee engagement of the government school teachers.Practical implicationsSchool authorities need to draft teacher-friendly policies so that teachers can stay deeply engrossed in their work and can handle work and family demands. Engaged teachers brim with positive energy, thereby energetically and vigorously preoccupying themselves in their work, leaving no time and space for negative thoughts.Originality/valueThe influence of emotional intelligence, perceived supervisor support and work–life balance on employee engagement of government school teachers is unprecedented. The study also tested the model in a holistic manner. Since the study is based on an Indian sample, it also adds to growing literature on employee engagement in nonwestern countries. The results are of great value to government authorities, school managements, HR managers and policymakers who are seeking to develop practices that enhance employee engagement at workplaces.
Analysis of the amount of latent carbon in the reconstruction of residential buildings with a multi-objective optimization approach
Authors: Amani Nima , Rezasoroush Abdulamir , Kiaee Ehsan 
Published: June 2024

Purpose
Due to the increase in energy demand and the effects of global warming, energy-efficient buildings have gained significant importance in the modern construction industry. To create a suitable framework with the aim of reducing energy consumption in the building sector, the external walls of a residential building were considered with two criteria of global warming potential and energy consumption.

Design/methodology/approach
In the first stage, to achieve a nearly zero-energy building, energy analysis was performed for 37 different states of thermal insulation. Then, the insulation materials’ life cycle assessment was performed. These results were used to find a set of optimal modes in the Pareto front by using non-dominated sorting genetic algorithm II multi-objective genetic algorithm. Thus, based on the data obtained from this method, it was possible to compare and choose different thermal insulation materials based on the distance from the Pareto front, reducing the environmental effects.

Findings
The results showed that replacing the windows was possible to save 3.24% in energy consumption. Also, selecting the proper insulation reduced energy consumption value by 63.13%. Finally, this building can save 69.31% of energy consumption compared to the base building by following the zero-energy building standard. As a result, the Pareto curve was introduced as a guide for the optimal design of the building’s wall insulation.

Originality/value
The proposed method provides designers with a framework for latent carbon analysis to access quickly and select optimal scenarios. It can also be used without restrictions for other decisions with different goals and criteria.
Knowledge, attitudes and beliefs on disability and vocational rehabilitation of injured male migrant workers in Singapore
Authors: Lam Joshua Jie Feng , Ng Amanda Yun Yee , Ng Emily Shu Ting , Ng Josephine Wei Ting , Yip Teem-Wing 
Published: June 2024

Purpose
There are over 300,000 male migrant workers in Singapore. Around 600 major workplace injuries are reported in Singapore each year, mainly in the manufacturing and construction injuries. Migrant workers who are affected by workplace injuries often face many challenges, including not being able to work and thus may be repatriated to their home countries, which affects their financial status and that of their families, whom they support. This research aims to explore the knowledge, attitudes and beliefs of injured migrant workers in Singapore, towards disability and vocational rehabilitation.

Design/methodology/approach
Fifteen male migrant workers, from Bangladesh, China and India, who had acquired disabling injuries in their workplaces in Singapore, were identified through purposive sampling. They were interviewed by a male interviewer, either in Mandarin Chinese or with the assistance of interpreters for Bengali-English and Tamil-English. Interviews were recorded, transcribed, translated to English, then analysed thematically.

Findings
The interviewees generally had a pessimistic outlook on their disability, which often impacted negatively on their self-worth and familial relationships. Many of them also had little knowledge of vocational rehabilitation and had not yet seriously considered future job prospects.

Originality/value
To the best of the authors’ knowledge, there are no similar studies exploring the knowledge, attitudes and beliefs of injured migrant workers in Singapore towards disability and vocational rehabilitation.
Performance management systems in startups: an analysis of stages of development and catalyst factors
Authors: Mancebo Victor Orona Claussen , Mucci Daniel Magalhaes , Santos Vanderlei dos , dos Santos Matheus , Kiyan Giovanna Yuli 
Published: June 2024

PurposeThis study aims to understand the manifestation and adherence of performance management system (PMS) components in Brazilian startups, concurrently considering the different stages of development and catalyzing factors.Design/methodology/approachWe gathered data through semi-structured interviews with founders and C-level executives from 19 startups. We used an inductive and exploratory method to spot patterns and differences through content analysis, aiming for a contextual understanding of startup PMS manifestation.FindingsWe analyzed the PMS of each startup, highlighting the consistency and differences among PMS components in each stage, considering the value proposition, goals, performance perspectives, monitoring indicators, action plans and performance evaluation processes. We also observe various catalyst factors that played an important role in accelerating the early development of the PMS in each stage.Practical implicationsThis study provides a practical understanding of the meaning of each PMS component maturity that could be applied to startups in different stages and the catalyzing factors that played an important role in accelerating the initial development of PMS, providing practitioners with a holistic and situated context approach.Originality/valueThis is one of the first studies to provide empirical evidence on the manifestation and adherence of different components of the PMS in Brazilian startups, considering concurrently the organizational life cycle and existing catalyzing factors to the reality of these organizations.
Internationalisation through digital platforms: a systematic review and future research agenda
Authors: Gong Chanjuan , He Xinming , Lengler Jorge 
Published: June 2024

PurposeThis paper systematically reviews and scrutinises the current development of studies concerning digital platform use in firms’ internationalisation. It also provides a research agenda for future work. Despite more than two decades of research, the study of how traditional firms enter foreign markets using digital platforms remains in its infancy. This paper contributes insights into the academic and managerial relevance of this field.Design/methodology/approachA systematic review of the literature based on content analysis was undertaken, drawing from peer-reviewed journal articles in international business, international marketing, information systems, and electronic commerce. The articles were published between 1999 and 2023, and the review employed a vote-counting method.FindingsThis analysis of 61 papers indicates that research on digital platform use in firms’ internationalisation is growing rapidly. However, the field itself is fragmented, and the research findings are inconsistent. This dynamic area reflects a growing trend, is dominated by several theories, relies primarily on survey data, and frequently uses China as a research context.Originality/valueIn acknowledging the vibrancy and managerial importance of this field, the authors offer a comprehensive overview of the existing studies to serve as a repository of knowledge on digital platform use in internationalisation for both academics and practitioners. Based on the aforementioned analysis, this study develops a reconciling framework to address current research gaps and identify future study directions.
Entrepreneurship and environmental sustainability: the effects of passion and self-efficacy on entrepreneurial intentions
Authors: Gregori Patrick , Holzmann Patrick , Krajger Ines , Schwarz Erich J. , Harms Rainer 
Published: June 2024

PurposeThis study investigates antecedents determining the inclination to engage in future environmental entrepreneurial activities. Building on passion research and social cognitive theory, the authors explore the role of environmental passion for environmental entrepreneurial intention, drawing attention to the mediating role of environmental self-efficacy.Design/methodology/approachA regression-based path analysis for mediation to test the developed hypotheses on a sample of 139 young individuals is applied.FindingsThe results demonstrate a significant positive effect of environmental passion on environmental entrepreneurial intention. The mediation analysis shows a positive direct and indirect effect of passion on intention, concluding that self-efficacy is a partial mediator. The results further suggest that environmental entrepreneurial intention is related to gender. In contrast, covariates like age, entrepreneurial exposure and entrepreneurship education have no significant effect.Practical implicationsThe results have implications for practitioners and policymakers who aim to further entrepreneurship for environmental sustainability. It underlines the need to take emotional antecedents seriously, suggests policy for creative and interdisciplinary education with respect to its challenges and emphasizes the roles of teachers in fostering passion.Originality/valueThe results provide a deeper contextualized understanding of passion, self-efficacy and intention in environmental entrepreneurship. These results offer an original perspective of entrepreneurship as a conduit to channel energy, concerns and passionate interests in the natural environment. The study presents theoretical implications for passion theory by extending sources of passion and clarifying the direction of self-efficacy in entrepreneurship.
The details matter: SEC regulatory guidance and informativeness in non-GAAP disclosure decisions
Authors: Desai Hrishikesh , Davern Michael 
Published: June 2024

Purpose
This paper aims to examine how managers make non-generally accepted accounting principles (GAAP) exclusion decisions depending on the regulatory guidance provided and their motivations. Guidance detail is a double-edged sword: resolving uncertainty but risking rule-based compliance over principled judgment.

Design/methodology/approach
This paper uses the context of non-GAAP measures in reporting, given the history of Securities and Exchange Commission changes in guidance detail. Drawing on theories of epistemic motivation and process accountability, this paper manipulates the goal of management (informativeness vs. opportunism) and guidance detail to examine effects on management decisions to exclude an ambiguous charge.

Findings
The 2×2 between participants experiment with 132 managers reveals that more detailed guidance increases likelihood of exclusion of an ambiguous charge. This paper further finds that this exclusion is more likely when management is given an informativeness goal, a result of a mediating effect of epistemic motivation. However, these findings only hold at low levels of process accountability.

Practical implications
The findings regarding the psychological concepts recognize the influence of perceived decision uncertainty by suggesting how managers respond to the level of regulatory guidance detail, offering regulators and auditors a basis for understanding and anticipating managerial reporting choices. Also, awareness of heightened epistemic motivation under the informativeness goal provides a nuanced practical understanding of non-GAAP decision drivers. Finally, the finding that effects are more pronounced for managers with lower process accountability highlights the significance of organizational accountability structures in guiding managerial choices, which can inform board-level governance and control decisions.

Originality/value
Pragmatically, this paper finds that detailed guidance leads to more appropriate exclusion decisions under a goal of informativeness but finds no such evidence where the goal is opportunism. No prior study has examined how the level of detail in guidance affects managers’ disclosure choices.
Artificial intelligence legal personality and accountability: auditors’ accounts of capabilities and challenges for instrument boundary
Authors: Staszkiewicz Piotr , Horobiowski Jarosław , Szelągowska Anna , Strzelecka Agnieszka Maryla 
Published: June 2024

Purpose
The study aims to identify the practical borders of AI legal personality and accountability in human-centric services.

Design/methodology/approach
Using a framework tailored for AI studies, this research analyses structured interview data collected from auditors based in Poland.

Findings
The study identified new constructs to complement the taxonomy of arguments for AI legal personality: cognitive strain, consciousness, cyborg paradox, reasoning replicability, relativism, AI misuse, excessive human effort and substitution.

Research limitations/implications
The insights presented herein are primarily derived from the perspectives of Polish auditors. There is a need for further exploration into the viewpoints of other key stakeholders, such as lawyers, judges and policymakers, across various global contexts.

Practical implications
The findings of this study hold significant potential to guide the formulation of regulatory frameworks tailored to AI applications in human-centric services. The proposed sui generis AI personality institution offers a dynamic and adaptable alternative to conventional legal personality models.

Social implications
The outcomes of this research contribute to the ongoing public discourse on AI’s societal impact. It encourages a balanced assessment of the potential advantages and challenges associated with granting legal personality to AI systems.

Originality/value
This paper advocates for establishing a sui generis AI personality institution alongside a joint accountability model. This dual framework addresses the current uncertainties surrounding human, general AI and super AI characteristics and facilitates the joint accountability of responsible AI entities and their ultimate beneficiaries.
The strategic importance of Australian farmland as a property sector for institutional investors
Authors: Newell Graeme , Marzuki Jufri 
Published: June 2024

PurposeFarmland is an important property sector that has attracted the attention of institutional investors globally in recent years. This paper examines the risk-adjusted performance and portfolio diversification benefits of Australian farmland in a portfolio over the eight-year period of Q2:2015–Q2:2023, highlighting the unique property management dimensions to this property sector for its effective role in an institutional investor's property portfolio.Design/methodology/approachUsing the quarterly ANREV Australian farmland index over Q2:2015–Q2:2023, the risk-adjusted performance and portfolio diversification potential of Australian farmland is assessed. Constrained mixed-asset portfolios are used to assess the potential added-value role of Australian farmland in a mixed-asset portfolio. Analyses are also done for the farmland sub-sectors of annual farmland and permanent farmland.FindingsAustralian farmland is seen to show strong risk-adjusted performance but at a much higher risk level than that seen for direct property. Diversification benefits from Australian farmland are also evident, with an important role by Australian farmland seen in the mixed-asset portfolio. Specific farmland property management strategies are identified for the effective inclusion of farmland in an institutional investor's property portfolio, including the potential benefits towards net zero carbon strategies.Originality/valueThis is the first research that provides an independent empirical examination of the strategic importance of Australian farmland property for institutional investors using the institutional investment-grade ANREV Australian farmland database, from both an investment and environmental perspective. The unique property management implications for Australian farmland property are also highlighted, including the potential role of Australian farmland in net zero carbon strategies by institutional investors.
Effects of anisotropy and infill pattern on compression properties of 3D printed CFRP: mechanical analysis and elasto-plastic finite element modelling
Authors: Bandinelli Francesco , Scapin Martina , Peroni Lorenzo 
Published: June 2024

Purpose
Finite element (FE) analysis can be used for both design and verification of components. In the case of 3D-printed materials, a proper characterization of properties, accounting for anisotropy and raster angles, can help develop efficient material models. This study aims to use compression tests to characterize short carbon-reinforced PA12 made by fused filament fabrication (FFF) and to model its behaviour by the FE method.

Design/methodology/approach
In this work, the authors focus on compression tests, using post-processed specimens to overcome external defects introduced by the FFF process. The material’s elastoplastic mechanical behaviour is modelled by an elastic stiffness matrix, Hill’s anisotropic yield criterion and Voce’s isotropic hardening law, considering the stacking sequence of raster angles. A FE analysis is conducted to reproduce the material’s compressive behaviour through the LS-DYNA software.

Findings
The proposed model can capture stress values at different deformation levels and peculiar aspects of deformed shapes until the onset of damage mechanisms. Deformation and damage mechanisms are strictly correlated to orientation and raster angle.

Originality/value
The paper aims to contribute to the understanding of 3D-printed material’s behaviour through compression tests on bulk 3D-printed material. The methodology proposed, enriched with an anisotropic damage criterion, could be effectively used for design and verification purposes in the field of 3D-printed components through FE analysis.