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This study aims to investigate the adoption of the United Nations’ Sustainable Development Goals (SDGs) as the new performance perspective in cities. It also aims to understand how accounting for SDGs begins in city administrations by following Power’s (2015) fourfold development schema composed of policy object formation, object elaboration, activity orchestration and practice stabilization.

Focusing on a network of cities coordinated by the Finnish local government association, we analyzed the six largest cities in Finland employing a holistic multiple case study strategy. Our data consisted of Voluntary Local Reviews (VLRs), city strategies, budget plans, financial statements, as well as results of participant observations and semi-structured interviews with key individuals involved in accounting for SDGs.

We unveiled the SDG framework as an interpretive scheme through which cities glocalized sustainable development as a novel, simultaneously global and local, performance object. Integration of the new accounts in city management is necessary for these accounts to take life in steering the actions. By creating meaningful alignment and the ability to impact managerial practices, SDGs and VLRs have the potential to influence local actions. Our results indicate further institutionalization progress of sustainability as a performance object through SDG-focused work.

While prior research has focused mainly on general factors influencing the integration of the sustainability agenda, this study provides a novel perspective by capturing the process and demonstrating empirically how new accounts on SDGs are introduced and deployed in the strategic planning and management of local governments.

The purpose of this paper is twofold: first is to map and analyse prominent contributions, current dynamics, patterns, gaps and research prospects in the field of workplace incivility (WI); second is to provide a coherent theoretical research framework for future research.

This study adopts a two-step analysis approach by combining bibliometric analysis and systematic literature review to explore the research topic of WI, besides, using multiple methodologies including bibliometric, network and content analyses.

This study found that L. M. Cortina and M. S. Hershcovis are the top two most influential authors among all authors in the sample publications. Journal of Occupational Health Psychology is one of the top-ranking journal that often publishes this topic of articles. USA and The Bowling Green State University are the most influential country and institutions, respectively. Besides, burnout and retention are also common keywords were identified based on keywords co-occurrence map, showing that WI has a major impact on burnout and employee retention. Based on the above analysis, this paper constructed a theoretical research framework of WI.

This paper only draw data from one database—Scopus—which cannot provide broad coverage of the research topic. WI research trends and trajectories may be assessed to enable academics and practitioners better understand the current and future trends and research directions. Future studies in this field might use the findings as a starting point to highlight the nature of the topic.

This study is the first to use an systematic literature review (SLR) to evaluate the association between WI and other organizational behaviour. The study contributions are fourfold, extending the work and overcoming the methodologies of prior research that only focussed on characteristics of incivility in nursing. In addition, this paper presents an in-depth analysis of this topic and provides a comprehensive theoretical research framework for future study.

This research aims to describe the factors influencing the tax morale of entrepreneurs in the Brazilian telecommunications industry.

The authors surveyed a sample of 167 entrepreneurs from the sector using structured online self-assessment questionnaires analyzed quantitatively through the partial least squares structural equation modeling technique.

The results indicate that risk of detection, severity of punishments and tax justice represent determining factors for the tax morale of entrepreneurs, though their age also contributes to explaining tax behavior, proving to be a significant control variable. These findings presuppose a predominance of institutional pressures from the regulatory and normative pillars on this group, in contrast to evidence from previous studies dealing with tax morale among ordinary citizens.

The theoretical implications are fourfold. The authors address a gap in the study of tax morale at the organizational level, integrate the entrepreneurship literature in specific sectors with tax policies through neo-institutional theory, support changes in the tax legislation of an emerging economy with widespread biases of corruption and add more diversity to the perceived legitimacy of its current tax system. Practical recommendations include the creation of public policies particularly targeted at younger entrepreneurs predominant in this sector to build a regulatory framework that incorporates both tax justice and severity of punishments to foster trust between taxpayers and tax authorities; using the institutional legitimacy mechanism to elicit a more isonomic performance of the tax authorities; and reevaluating the risk of detection strategies.

Building information modelling (BIM) implementation in the design, construction and operations (DCO) industry is increasingly becoming essential. While BIM has been adopted on a larger scale in many developed economies, its acceptance is still in the embryonic phases for developing nations in the DCO industry. This study aims to identify the inhibitors to BIM implementation through the social network theoretical lens, intending to understand the associations among the barriers in the Indian context. Subsequently, recommend strategies to mitigate the barriers from the academic practitioner’s perspective.

A mixed methods research was adopted, commencing with comprehensive literature reviews to recognise various inhibitors to BIM implementation. These identified barriers were further examined through the questionnaire survey (n = 71). BIM implementation barrier network (BIBN) was created using University of California at Irvine Network (UCINET) is a powerful social network analysis software that functions on the principle of social network theory. The experts’ opinions were captured through the BIBN network through interviews. Network properties such as eigen vector centrality, betweenness centrality, degree centrality, in-degree and out-degree and clustering coefficient were computed, and the metrics were analysed further.

Twenty-six BIM implementation barriers were initially identified. A questionnaire survey was conducted. The chain reaction can be minimised by prioritising and regulating these barriers. The issues were categorised into fourfold clusters (standardisation, policy and process, cultural and human resources, change management and operational) issues were generated from the exploratory factor analysis (EFA). The obstacles and barriers resulting from the other main barriers associated with it can be minimised by reducing the challenges with high eigenvector centrality but low betweenness importance.

This study proves to accelerate sustainable BIM implementation growth in developing nations; this research study assists BIM stakeholders in developing coping mechanisms to monitor and remove BIM implementation barriers.

Analysing the associativity of the BIM implementation barriers through sociograms for developing nations is a novel concept with this research.

Climate change is a problem that concerns all of us. Despite the information produced by organizations such as the Expert Team on Climate Change Detection and Indices and the United Nations, only a few cities have been planned taking into account the climate changes indices. This paper aims to study climatic variations, how climate conditions might change in the future and how these changes will affect the activities and living conditions in cities, specifically focusing on Mexico city.

In this approach, two distinct machine learning regression models, k-Nearest Neighbors and Support Vector Regression, were used to predict variations in climate change indices within select urban areas of Mexico city. The calculated indices are based on maximum, minimum and average temperature data collected from the National Water Commission in Mexico and the Scientific Research Center of Ensenada. The methodology involves pre-processing temperature data to create a training data set for regression algorithms. It then computes predictions for each temperature parameter and ultimately assesses the performance of these algorithms based on precision metrics scores.

This paper combines a geospatial perspective with computational tools and machine learning algorithms. Among the two regression algorithms used, it was observed that k-Nearest Neighbors produced superior results, achieving an R² score of 0.99, in contrast to Support Vector Regression, which yielded an R² score of 0.74.

The full potential of machine learning algorithms has not been fully harnessed for predicting climate indices. This paper also identifies the strengths and weaknesses of each algorithm and how the generated estimations can then be considered in the decision-making process.

The purpose of this study is to explore the causal relationship between smart transportation technology innovation and green transportation efficiency.

A comprehensive framework is used in this paper to assess the level of green transportation efficiency in China based on the instrumental variable – generalized method of moments model, followed by an examination of the impact of innovation in smart transportation technology on green transportation efficiency. Additionally, their non-linear relationship is explored, as are their important moderating and mediating effects.

The findings indicate that, first, the efficiency of green transportation is significantly enhanced by innovation in smart transportation technology, which means that investing in such technologies contributes to improving green transportation efficiency. Second, in areas where green transportation efficiency is initially low, smart transportation technology innovation exerts a particularly potent influence in driving green transportation efficiency, which underscores the pivotal role of such innovation in bolstering efficiency when it is lacking. Third, the relationship between smart transportation technology innovation and green transportation efficiency is moderated by information and communication technology, and the influence of smart transportation technology innovation on green transportation efficiency is realized through an increase in energy efficiency and carbon emissions efficiency.

Advancing green transportation is essential in establishing a low-carbon trajectory within the transportation sector.

This study aims to examine the moderating role of dimensions of brand authenticity (continuity, credibility, integrity and symbolism) in the relationship between evaluations of imperfect experiences and satisfaction within a service experience context. Building on prior research arguing for the subjective evaluation of service experiences as well as for the use of signals during dynamic experiences that build a shield to protect a brand, it assumes that service experiences range across a continuum of experiential perfection/imperfection.

Two Web-based surveys, one pilot (N = 231) and one main (N = 349) have been conducted. The survey methodology was complemented by a (moderated) structural equation modelling approach taken for the data analysis.

The findings indicate that imperfect experiences in a restaurant context have a negative influence on satisfaction. Brand continuity, credibility, integrity and symbolism authenticity weaken the negative relationship between imperfect experiences and satisfaction, but this effect seems to depend on the type of experiential imperfections.

The current study provides theoretical and preliminary empirical evidence explaining how dynamic interactions with customers can impact subsequent static experiences. The authors found that the strength of the relationship between imperfect experiential elements and satisfaction does not only depend on perceived brand authenticity and does not always weaken when brand authenticity is present.

This study aims to investigate the role of information normalization in online healthcare consultation, a typical complex human-to-human communication requiring both effectiveness and efficiency. The globalization and digitization trend calls for high-quality information, and normalization is considered an effective method for improving information quality. Meanwhile, some researchers argued that excessive normalization (standardized answers) may be perceived as impersonal, repetitive, and cold. Thus, it is not appreciated for human-to-human communication, for instance, when patients are anxious about their health condition (e.g. with high-risk disease) in online healthcare consultation. Therefore, the role of information normalization in human communication is worthy to be explored.

Data were collected from one of the largest online healthcare consultation platforms (Dxy.com). This study expanded the existing information quality model by introducing information normalization as a new dimension. Information normalization was assessed using medical templates, extracted through natural language processing methods such as Bidirectional Encoder Representations from Transformers (BERT) and Latent Dirichlet Allocation (LDA). Patient decision-making behaviors, namely, consultant selection and satisfaction, were chosen to evaluate communication performance.

The results confirmed the positive impact of information normalization on communication performance. Additionally, a negative moderating effect of disease risk on the relationship between information normalization and patient decision-making was identified. Furthermore, the study demonstrated that information normalization can be enhanced through experiential learning.

These findings highlighted the significance of information normalization in online healthcare communication and extended the existing information quality model. It also facilitated patient decision-making on online healthcare platforms by providing a comprehensive information quality measurement. In addition, the moderating effects indicated the contradiction between informational support and emotional support, enriching the social support theory.

This study explores how the effects of youth-oriented values influence the behavioural attitudes towards online conspicuous activities during travel, leading to their further conspicuous consumption travel behaviour.

This study applied a mixed-methods approach. Semi-structured interviews were conducted with 20 young tourists to extract the youth-oriented value measurement scale. A systematic survey was conducted in a renovated heritage site in China. PLS-SEM analysis was performed on 322 responses to test the proposed hypotheses.

The results of semi-structured interviews supplement seven new items and form a measurement scale of youth-oriented values with 16 items in three dimensions (self-identification, peer-identification and eagerness to change). The results of PLS-SEM analysis reveal that all three youth-oriented values significantly influence attitudes towards information searching and content generation, and these two behavioural attitudes are positively related to continuous conspicuous consumption travel. The openness trait moderates the relationship between self-identification and content generation.

The study contributes to youth tourism research in conspicuous consumption travel behaviour. It provides insights to tourism operators to formulate strategies to develop the young tourist market in a cultural heritage tourism context.