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Article
Publication date: 16 January 2024

Kasmad Ariansyah, Ahmad Budi Setiawan, Alfin Hikmaturokhman, Ardison Ardison and Djoko Walujo

This study aims to establish an assessment model to measure big data readiness in the public sector, specifically targeting local governments at the provincial and city/regency…

Abstract

Purpose

This study aims to establish an assessment model to measure big data readiness in the public sector, specifically targeting local governments at the provincial and city/regency levels. Additionally, the study aims to gain valuable insights into the readiness of selected local governments in Indonesia by using the established assessment model.

Design/methodology/approach

This study uses a mixed-method approach, using focus group discussions (FGDs), surveys and exploratory factor analysis (EFA) to establish the assessment model. The FGDs involve gathering perspectives on readiness variables from experts in academia, government and practice, whereas the survey collects data from a sample of selected local governments using a questionnaire developed based on the variables obtained in FGDs. The EFA is used on survey data to condense the variables into a smaller set of dimensions or factors. Ultimately, the assessment model is applied to evaluate the level of big data readiness among the selected Indonesian local governments.

Findings

FGDs identify 32 essential variables for evaluating the readiness of local governments to adopt big data. Subsequently, EFA reduces this number by five and organizes the remaining variables into four factors: big data strategy, policy and collaboration, infrastructure and human resources and data collection and utilization. The application of the assessment model reveals that the overall readiness for big data in the selected local governments is primarily moderate, with those in the Java cluster displaying higher readiness. In addition, the data collection and utilization factor achieves the highest score among the four factors.

Originality/value

This study offers an assessment model for evaluating big data readiness within local governments by combining perspectives from big data experts in academia, government and practice.

Details

Journal of Science and Technology Policy Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2053-4620

Keywords

Article
Publication date: 10 October 2023

Nahed T. Zeini, Ahmed E. Okasha and Amal S. Soliman

Using bibliometrics, this study aims to explore the intellectual structure of social segregation research, key contributors, thematic areas and hotspot topics.

Abstract

Purpose

Using bibliometrics, this study aims to explore the intellectual structure of social segregation research, key contributors, thematic areas and hotspot topics.

Design/methodology/approach

A bibliometric analysis was performed for more than 15,000 research papers listed in one of the famous, rich and widely used scientific databases: Web of Science (WoS). This review approach was used to identify social research hotspots on segregation, intellectual structure, borders and development trends. VOSviewer and Gephi software were employed for mapping and analysis.

Findings

The study indicates a marked increase in segregation research, particularly from a spatial/urban perspective. The study reveals the interrelationship between segregation and many other social concepts, such as social equality, cohesion, integration and inclusion. In conclusion, addressing the ramifications resulting from the multiple forms of segregation will help in implementing social policies and evaluating their impact on achieving inclusive social development in general and the 2030 agenda of Sustainable Development Goals (SDGs) in specific.

Research limitations/implications

This study remains limited to the precision and thoroughness of the bibliographic data gained from WoS.

Originality/value

This study is valuable for readers to gain rich insights into the state of research on social segregation. It also provides ideas for future research that prospective authors and interested research and academic institutions can investigate.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 13 June 2023

Justyna Bekier and Cristiana Parisi

This study examines how circular economy (CE) performance indicators are constructed in an urban context characterised by a multitude of conflicting interests and visions of urban…

Abstract

Purpose

This study examines how circular economy (CE) performance indicators are constructed in an urban context characterised by a multitude of conflicting interests and visions of urban development. It explores the process of constructing a shared consensus about the performance indicators in conditions of low contractibility, where intervention objectives and outcomes are not easily quantifiable because the object is ambiguous and cannot be fully specified in advance.

Design/methodology/approach

The construction of performance indicators at the urban level is examined through the lens of an action net. Using group interviews, observations and documentary analysis, this study investigates the case of a CE initiative in the city of Milan.

Findings

The study demonstrates that in cases of low contractibility, the development of CE solutions requires actions that span across organisational boundaries, organised in an action net. As the action net unfolds, it is closely knotted with the construction of performance indicators, indicating a co-constitutive relationship between the two processes.

Originality/value

This interdisciplinary study contributes to the public sector accounting literature by exploring the complexity of performance indicator construction at the urban level. It further recognises performance measurement in cities as a dynamic and flexible process, in which the interconnected actions and involvement of multiple actants shape the composition of the indicators.

Details

Accounting, Auditing & Accountability Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0951-3574

Keywords

Open Access
Article
Publication date: 8 March 2024

Sanna-Mari Renfors

Higher education institutions and their lecturers are strategic agents and main drivers that contribute to circular economy transition. This requires them to understand the key…

Abstract

Purpose

Higher education institutions and their lecturers are strategic agents and main drivers that contribute to circular economy transition. This requires them to understand the key circular economy competencies and how to integrate circular economy holistically into their curricula with the suitable teaching and learning approaches. This study aims to support them by providing an overview on the characteristics of education for the circular economy (ECE) and suggestions to lecturers to further develop their curricula.

Design/methodology/approach

The data consisted of scientific articles (n = 22) describing circular economy courses in higher education. Qualitative content analysis with quantitative features was performed on the selected articles to answer the research question.

Findings

The findings confirm that the system’s focus is the key issue in ECE. However, to integrate circular economy holistically into the curricula, ECE should be implemented more widely in the context of different industries and market contexts to find innovative teaching and learning approaches. The demand side needs to be incorporated in the courses, as systemic transformation is also about transforming consumption. All levels of implementation and circular economy objectives should be included in courses to promote systems thinking. In addition, innovative forms of real workplace interaction should be increased.

Originality/value

As ECE has started to emerge as a new field of study, this article provides the first integrated overview of the topic.

Details

International Journal of Sustainability in Higher Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1467-6370

Keywords

Article
Publication date: 2 January 2024

Dillip Kumar Das

The delay in real estate projects in India is pervasive. Organization and management (O&M) and project management (PM)-related challenges are argued to contribute to project…

Abstract

Purpose

The delay in real estate projects in India is pervasive. Organization and management (O&M) and project management (PM)-related challenges are argued to contribute to project delays. This study examined the O&M and PM factors that cause delays, the level of implementation of various O&M and PM aspects in real estate projects and how the challenges can be alleviated.

Design/methodology/approach

Perception surveys among the consumers and relevant stakeholders engaged in real estate projects in the Bhubaneswar and Cuttack regions of India were conducted to collect data on the factors of delay and implementation of the O&M and PM aspects. Relevant statistical methods and structural equation modeling (SEM) were used for data analysis.

Findings

Findings suggest that from the O&M point of view, poor decision-making, mishandling of finance, concurrent execution of many projects, diversion and misuse of finance for unrelated activities, lack of PM personnel and poor management contribute to the delay. Further, although the project initiation is satisfactorily done, most of the PM principles are not largely used, thus leading to delay.

Research limitations/implications

The study does have limitations, including its reliance on a perception survey of consumers and stakeholders, a limited sample size and a restricted number of projects. Nevertheless, the study highlights the need to address poor O&M and the insufficient application of PM principles to combat project delays in the Indian real estate sector.

Practical implications

Proper O&M and adequate application of PM will enable professional management of the projects and avoid delay.

Social implications

Proper O&M and the application of adequate PM would reduce delays in real estate projects. Consequently, conflicts between the companies and consumers might be reduced and housing and infrastructure demands might be met.

Originality/value

The study manifested that the lack of adequate implementation of O&M and PM aspects leads to delays. So, it is theorized that O&M and PM play critical roles in the success of real estate projects. Appropriate implementation of the principles and best practices linked to these aspects might alleviate the challenges of delay in real estate projects in India.

Details

International Journal of Building Pathology and Adaptation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-4708

Keywords

Article
Publication date: 25 January 2024

Martha Sibley, Kaitlin Peach, Maggie León-Corwin, Pavithra Priyadarshini Selvakumar, Kaitlin Diodosio, Andrew Fox, Charles Spurlock and Kristin Olofsson

Across the USA, local municipalities and providers struggle to reliably supply water and electricity when faced with severe weather events induced by climate change. Previous…

Abstract

Purpose

Across the USA, local municipalities and providers struggle to reliably supply water and electricity when faced with severe weather events induced by climate change. Previous research suggests those at higher risk for experiencing the detrimental effects of climate change have higher climate-related concerns. Additionally, research demonstrates variation in trust in institutions and perceptions of environmental justice along racial lines, which can influence concern for access to resources. Informed by this research, the authors ask two questions: how do Oklahomans’ trust in institutions, environmental justice perceptions and global climate change risk perceptions differ based on race, and how do these factors influence concern for water and electrical infrastructure? The purpose of this study is to better understand Oklahomans’ trust in information from institutions, environmental justice perceptions, global climate change risk perceptions and concern for water and electrical infrastructure.

Design/methodology/approach

This study uses a series of nested regression models to analyze the survey responses of 2,687 Oklahoman adults. The data were pulled from Wave 3 of the Oklahoma Meso-scale Integrated Socio-geographic Network survey, which is part of the National Science Foundation EPSCoR S3OK project.

Findings

The findings demonstrate the complex interplay of riskscapes – or risk landscapes – that encompass institutional trust, perceptions of environmental justice, climate change and infrastructure in Oklahoma. The authors find evidence that education and income are better predictors of institutional trust and environmental justice than race among our respondents. Political ideology emerges as a significant predictor across all hypotheses.

Originality/value

This study contributes to the understanding of complex dynamics involving race, perceptions of environmental justice, trust in information from institutions, risk perceptions of climate change and concerns for water and electrical infrastructure in Oklahoma.

Details

Safer Communities, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-8043

Keywords

Article
Publication date: 6 February 2024

Anja Lisa Hirscher, Samira Iran, Ulf Schrader and Martin Müller

This paper aims to propose and evaluate an innovative approach to education for sustainable consumption (ESC) which empowers teenagers and young adults to improve sustainable…

Abstract

Purpose

This paper aims to propose and evaluate an innovative approach to education for sustainable consumption (ESC) which empowers teenagers and young adults to improve sustainable consumption competences. This approach combines pedagogical learning approaches such as real-world learning (e.g. experiential learning and research-based learning) with transformative and transdisciplinary research approaches (i.e. real-world laboratory research).

Design/methodology/approach

Through a transdisciplinary research design, the authors explore if real-world experiments (RWEs) offer a suitable approach for sustainable consumption education at schools. RWEs are a research approach for knowledge production, aiming to go beyond temporary interventions, to establish semi-permanent spaces for sustainability transformation and reflexive learning. To evaluate this proposal, the authors study already existing active teaching and learning approaches developed within and for ESC and put these in perspective, to define and understand the RWEs.

Findings

Insights from a transdisciplinary research project which applied RWEs as a teaching and learning approach in German schools complement conceptual considerations. As a result, advantages, such as the development of core competencies among learners, but also challenges experienced, are illustrated. Though, the challenges found are not unique to the RWE, rather they point out important potentials for ESC through suggesting systematic changes in educational institutions and teaching approaches.

Originality/value

This paper explores RWEs as an active and participatory teaching and learning approach for sustainable consumption education at schools and delivers practical insights and a definition of RWEs as an innovative teaching and learning approach.

Details

International Journal of Sustainability in Higher Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1467-6370

Keywords

Article
Publication date: 29 December 2023

Prabhat Kumar Rao and Arindam Biswas

This study aims to assess housing affordability and estimate demand using a hedonic regression model in the context of Lucknow city, India. This study assesses housing…

Abstract

Purpose

This study aims to assess housing affordability and estimate demand using a hedonic regression model in the context of Lucknow city, India. This study assesses housing affordability by considering various housing and household-related variables. This study focuses on the impoverished urban population, as they experience the most severe housing scarcity. This study’s primary objective is to understand the demand dynamics within the market comprehensively. An understanding of housing demand can be achieved through an examination of its characteristics and components. Individuals consider the implicit values associated with various components when deciding to purchase or rent a home. The components and characteristics have been obtained from variables relating to housing and households.

Design/methodology/approach

A socioeconomic survey was conducted for 450 households from slums in Lucknow city. Two-stage regression models were developed for this research paper. A hedonic price index was prepared for the first model to understand the relationship between housing expenditure and various housing characteristics. The housing characteristics considered for the hedonic model are dwelling unit size, typology, condition, amenities and infrastructure. In the second stage, a regression model is created between household characteristics. The household characteristics considered for the demand estimation model are household size, age, education, social category, income, nonhousing expenditure, migration and overcrowding.

Findings

Based on the findings of regression model results, it is evident that the hedonic model is an effective tool for the estimation of housing affordability and housing demand for urban poor. Various housing and household-related variables affect housing expenditure positively or negatively. The two-stage hedonic regression model can define willingness to pay for a particular set of housing with various attributes of a particular household. The results show the significance of dwelling unit size, quality and amenities (R2 > 0.9, p < 0.05) for rent/imputed rent. The demand function shows that income has a direct effect, whereas other variables have mixed effects.

Research limitations/implications

This study is case-specific and uses a data set generated from a primary survey. Although household surveys for a large sample size are resource-intensive exercises, they provide an opportunity to exploit microdata for a better understanding of the complex housing situation in slums.

Practical implications

All the stakeholders can use the findings to create an effective housing policy. The variables that are statistically significant and have a positive relationship with housing costs should be deliberated upon to provide the basic standard of living for the urban poor. The formulation of policies should duly include the housing preferences of the economically disadvantaged population residing in slum areas.

Originality/value

This paper uses primary survey data (collected by the authors) to assess housing affordability for the urban poor of Lucknow city. It makes the results of the study credible and useful for further applications.

Details

International Journal of Housing Markets and Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 12 December 2023

Mustafa Çimen, Damla Benli, Merve İbiş Bozyel and Mehmet Soysal

Vehicle allocation problems (VAPs), which are frequently confronted in many transportation activities, primarily including but not limited to full truckload freight transportation…

Abstract

Purpose

Vehicle allocation problems (VAPs), which are frequently confronted in many transportation activities, primarily including but not limited to full truckload freight transportation operations, induce a significant economic impact. Despite the increasing academic attention to the field, literature still fails to match the needs of and opportunities in the growing industrial practices. In particular, the literature can grow upon the ideas on sustainability, Industry 4.0 and collaboration, which shape future practices not only in logistics but also in many other industries. This review has the potential to enhance and accelerate the development of relevant literature that matches the challenges confronted in industrial problems. Furthermore, this review can help to explore the existing methods, algorithms and techniques employed to address this problem, reveal directions and generate inspiration for potential improvements.

Design/methodology/approach

This study provides a literature review on VAPs, focusing on quantitative models that incorporate any of the following emerging logistics trends: sustainability, Industry 4.0 and logistics collaboration.

Findings

In the literature, sustainability interactions have been limited to environmental externalities (mostly reducing operational-level emissions) and economic considerations; however, emissions generated throughout the supply chain, other environmental externalities such as waste and product deterioration, or the level of stakeholder engagement, etc., are to be monitored in order to achieve overall climate-neutral services to the society. Moreover, even though there are many types of collaboration (such as co-opetition and vertical collaboration) and Industry 4.0 opportunities (such as sharing information and comanaging distribution operations) that could improve vehicle allocation operations, these topics have not yet received sufficient attention from researchers.

Originality/value

The scientific contribution of this study is twofold: (1) This study analyses decision models of each reviewed article in terms of decision variable, constraint and assumption sets, objectives, modeling and solving approaches, the contribution of the article and the way that any of sustainability, Industry 4.0 and collaboration aspects are incorporated into the model. (2) The authors provide a discussion on the gaps in the related literature, particularly focusing on practical opportunities and serving climate-neutrality targets, carried out under four main streams: logistics collaboration possibilities, supply chain risks, smart solutions and various other potential practices. As a result, the review provides several gaps in the literature and/or potential research ideas that can improve the literature and may provide positive industrial impacts, particularly on how logistics collaboration may be further engaged, which supply chain risks are to be incorporated into decision models, and how smart solutions can be employed to cope with uncertainty and improve the effectiveness and efficiency of operations.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

Keywords

Open Access
Article
Publication date: 19 December 2023

Selena Aureli, Eleonora Foschi and Angelo Paletta

This study investigates the implementation of a sustainable circular business model from an accounting perspective. Its goal is to understand if and how decision- makers use…

1048

Abstract

Purpose

This study investigates the implementation of a sustainable circular business model from an accounting perspective. Its goal is to understand if and how decision- makers use management accounting systems, and what changes are needed if these systems are to support the transition toward a circular economy.

Design/methodology/approach

Dialogic accounting theory frames the case study of six companies that built a value network to develop and implement an innovative packaging solution consistent with circular economy principles. Content analysis was utilised to investigate the accounting tools used.

Findings

The findings indicate that circular solutions generate new organisational configurations based on value networks. Interestingly, managers’ decision-making process largely bypassed the accounting function; they relied on informal accounting and life cycle analysis, which stimulated a multi-stakeholder dialogue in a life cycle perspective.

Research limitations/implications

The research provides theoretical and practical insights into the capability of management accounting systems to support companies seeking circular solutions.

Practical implications

The authors offer implications for accounting practice, chief financial officers (CFOs) and accounting educators, suggesting that a dialogic approach may support value retention of resources, materials and products, as required by the circular economy.

Social implications

The research contributes to the debate about the role of accounting in sustainability, specifically the need for connecting for resource efficiency at the corporate level with the rationalisation of resource use within planetary boundaries.

Originality/value

The study contributes to the limited research into the role of management accounting in a company’s transition to circular business models. Dialogic accounting theory frames exploration of how accounting may evolve to help businesses become accountable to all stakeholders, including the environment.

Details

Accounting, Auditing & Accountability Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0951-3574

Keywords

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