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The original Bullring complex opened in Birmingham, UK, in 1960 and was the first covered retail centre in Europe. It heralded a new approach not just to shopping but also to citycentre life and development. Little was understood at that time of the wide‐ranging effects of a move towards this model, and in its declining years the complex was all too real an illustration of some of the disadvantages of the initial vision. The Birmingham Alliance, comprising three major international property developers/investors, Birmingham City Council and numerous stakeholders, brought together their respective citycentre property holdings and interests, and worked together to create an exciting new vision of a city centre for the 21st century, a vision which would once again place the Bullring in the vanguard of urban renewal. This paper considers the story of the new Bullring and the role that the facilities management (FM) approach has played in the success of the development to illustrate the way that infrastructure services for the complex can add strategic value rather than use up operational cost. It discusses four important challenges that the FM sector will need to address and resolve if the profession is to secure its position as a strategic value‐added contributor to developers and investors in the global retail sector. Finally, it summarises a framework for the future management of regional shopping centres and the role of FM services within this sector.

The purpose of this research is to explore how location – regional vs metropolitan – impacts a small to medium‐sized enterprise (SME)'s access to firm resources and capabilities, and in turn its export performance.

This study involved collecting qualitative data from an expert panel of government trade advisors, as well as managers of SME exporters in Australian regional and metropolitan areas. The data were used to explore three propositions relating to the impact of location.

The data provides support for the propositions that location impacts SME exporters’ access to networks and export related infrastructure/services, and in turn export performance. Firms in metropolitan areas have an advantage over those in regional areas. However, contrary to expectations, the relatively lower level of competition in regional areas did not appear to have a negative impact on the export performance of firms located in these areas.

The study confirms the importance of exploring the impact of location on export performance. However, the exploratory nature of the study means that results cannot necessarily be generalised beyond the setting in which the data were collected. Future research should examine the impact of location for exporters in a broader sample of countries.

The disadvantages for SME exporters located in regional areas that come from a lack of networks and export related infrastructure/services need to be recognized and addressed by the managers of SME exporters and their advisors. The study also highlights the importance of the location decision for these firms.

This study is one of the first to explicitly focus on the impact of location on the export performance of SMEs. While exploratory in nature, it highlights the need for further research to better understand this potentially critical moderating variable and both its practical and theoretical implications.

Rede Alta Velocidade, SA (RAVE), the state-owned company responsible for planning and developing a major high-speed rail project in Portugal, must persuade both public officials and lenders that the project is worth undertaking. It must also make a recommendation on the appropriate organizational form for the enterprise. Specifically, it must determine the role of the Portuguese government in financing and operating the high-speed rail network, with options ranging from full development and management of the project by the public sector to completely private development and management. Lying in between these two polar cases were a variety of hybrid models, often referred to as public-private partnerships (PPPs). Using data in the case, students have the opportunity to perform a benefit-cost analysis of the project. They also must think carefully about the optimal role of the government in a major new infrastructure project.

After analyzing and discussing the case, students will be able to:

• Understand the nature of a global public good

• Perform a back-of-the-envelope benefit-cost analysis of polio eradication

• Discuss the appropriate strategy for eradicating an infectious disease

• Apply game theory to analyzing which countries would be likely to contribute funds toward global polio eradication

• Discuss the role of private organizations in the provision of global public goods

Understand the nature of a global public good

Perform a back-of-the-envelope benefit-cost analysis of polio eradication

Discuss the appropriate strategy for eradicating an infectious disease

Apply game theory to analyzing which countries would be likely to contribute funds toward global polio eradication

Discuss the role of private organizations in the provision of global public goods

The purpose of this paper is to discuss property taxation and examine the extent of its contribution to financing urban infrastructure/services in Ghana. Dwelling on existing literature, it analyses the contribution of property tax to local level internally generated funds (IGF) and expenditure on urban infrastructure/services financed from IGF.

Using a case study approach with a combination of both quantitative and qualitative research, this research was carried out in the Sekondi-Takoradi metropolis in the Western region, Ghana based on its economic and social diversity, business and economic opportunities and different land tenure systems. Data were collected through expert interviews and questionnaires, with a baseline study from 2006 to 2013. To check the veracity of data, triangulation of data were adopted.

The study revealed that property rate accounted for 28 per cent of IGF of the Sekondi-Takoradi Metropolitan Assembly (STMA). This revenue was expended mostly on waste management, education, social services, street lights and health facilities. For the period between 2006 and 2013, property rates revenue alone was able to finance not less than 84 per cent of total expenditure from IGF. It was estimated that if the challenges to property taxation were resolved in Ghana, the tax could finance the entire annual IGF budget of the STMA on urban infrastructure and services over and above the expended expenditure with a surplus margin of 13 per cent.

This paper makes available empirical evidence of property tax contribution to IGF of STMA that could stimulate and enhance revenue mobilisation of other local government authorities. Debate on property tax revenue contribution towards financing urban infrastructure/services is also stimulated.

There exist many researches on property tax, however, none of these studies have examined the exact contributions of property rating revenue in financing urban infrastructure and services. This paper is the product of the original research conducted in Sekondi-Takoradi metropolis.

Adequate, reliable, and efficient urban infrastructure systems (UIS) are fundamental to sustainable development, social mobility, and economic vitality. As communities continuously rely on basic infrastructure services to support their daily communal functions, major components of UIS are subject to heavy use, and thus rapidly deteriorate over time; hence, it is critical that efficient infrastructure management strategies practices are in place. As current strategies remain confronted with various limitations including adaptability to changing conditions, lack of public engagement, and cost-effectiveness, this study explores social media data mining as an approach to revitalise and support current urban infrastructure monitoring strategies by extracting valuable insights from public opinion. Twitter messages or ‘Tweets’ pertaining to public infrastructure in The Philippines were collected and analysed to identify recurring issues in public infrastructure, emerging topics in public discussions, and the overall perception of the public on infrastructure services. This study presents a topic model that extracts dominant topics from aggregated social media data and a sentiment analysis model that determines public opinion sentiment in relation to different urban infrastructure components. The findings of this study highlight the potential of social media data mining to surpass the limits of conventional data collection techniques and the importance of public opinion as a key driver for a more user-involved decision-making in infrastructure management and as an important social aspect that can be utilised to support planning and response strategies in routine maintenance, preservation, and improvement of UIS.

Despite existing advances in information technology infrastructure services (ITISs), there remains no consensus in the literature regarding what dimensions or criteria are best suited for the measurement of their quality. The purpose of this paper is to fill this gap, proposing a methodological approach to measuring the quality of ITISs, as perceived by users.

Cronbach’s α and item-total correlations were used to measure the reliability of the questionnaire; multiple linear regression analysis was employed to determine the items (criteria) most related to the quality of ITISs; and finally, importance–performance analysis was conducted to determine the most critical criteria in service provision. An exploratory study was conducted to evaluate the quality of ITISs at a Brazilian university.

Control of the activities of the information technology (IT) team, periodic maintenance of hardware and software, the security policy and the skill of the labor affect the quality of services most, relative to the dimensions of infrastructure, people and processes.

The results indicate what dimensions and items should be considered by IT managers to improve the quality of ITISs. Special attention should be paid to the effective use of equipment, software and network infrastructure: it should be ensured that these are in good working order and can be utilized by users who expect to be trained to take advantage of their functions.

This paper shows how to integrate relevant techniques to assess the quality of ITISs. An original set of criteria to evaluate the quality of ITISs, derived from a systematic review of the literature, is suggested.

The purpose of this study is to explore a sustainable hierarchical framework for the business environment in smart cities. However, this hierarchical framework must consider unnecessary attributes and interrelationships between criteria to capture the difference between smart cities and traditional cities.

Hence, the fuzzy set theory is used for screening unnecessary attributes, the decision-making and trial evaluation laboratory (DEMATEL) is applied to manage the complex interrelationships among the aspects and attributes and interpretive structural modeling (ISM) is used to divide the hierarchy and construct a hierarchical theoretical framework. Ultimately, this research is applied to develop a sustainable hierarchical framework of the business environment in smart cities.

The results show that traditional social problems are still at the core of business environment development in smart cities, new smart opportunities may be discovered, but they are still limited by traditional social factors, the economy is still the main aspect of the business environment and there are still obstacles to solving social problems with smart technologies.

This theoretical hierarchical framework aims to guide smart cities toward sustainability. This study also proposes creating a predictable business environment by improving administrative efficiency, transparency, social mobility and infrastructure services and cultivating new business opportunities with intelligent technology.

The purpose of this paper is to define an evaluation model for cloud services to deal with the fuzzy information and propose a novel fuzzy evaluation method based on consistency intensity to analyze the quantitative value from the fuzzy information.

The cloud service evaluation framework is constructed, and different trusted indicators for the infrastructure services and the application services are designed, respectively. In the novel fuzzy evaluation method, the interval values can be aggregated by the Dempster-Shafer Theory and be transformed into the certain value by linguistic discount factor. The consistency intensity is proposed to determine the value of the linguistic discount factor, which can reflect the mainstream opinions in the assessment.

The proposed method can solve the problem on the analysis and synthesis of the fuzzy evaluation information. An instance of trust evaluation of cloud storage service is illustrated to verify that the proposed method can express the opinions of all evaluators more adequately.

A serial of experiments are carried out on NetLogo, and the results show that the proposed method is practical and efficient.

Instead of obtaining only the qualitative results by the multi-attribute decision-making method, the fuzzy evaluation method based on consistency intensity can obtain the quantitative results from the fuzzy information according to linguistic discount factor and consistency intensity.

This study aims to evaluate the property tax base under the local government property taxation in Nairobi City and its implication on revenue adequacy of the city. Nairobi has grown both in population and in physical extent resulting to increased demand for urban services. The city faces challenges of adequate infrastructure service provision against increasing demand. Property taxation if fully exploited can be a major source of city government revenue, which has been dwindling.

Literature review of property tax bases in the world and examination of best practices was done to highlight the inadequacies of property tax base administration in Nairobi. Primary data were gathered through interviews of officers in Nairobi City involved in the land rating process. Secondary data were obtained through documentary search and field survey of the study area.

The study established that Nairobi relies on a dual system of taxation, namely, site value rating and area rating. Tax is on vacant land only and excludes improvements. There are many legal exemptions and administrative exclusions from the tax base. The property tax registers do not include all the taxable properties and there is no regular updating of the tax registers. Nairobi relies on an outdated valuation roll whose values have no relation to the current market values.

These factors have resulted to a narrow tax base, which affects the revenue potential of the city and its ability to adequately provide infrastructure services.

This is an original research, which relied mainly on primary data. To establish the property tax bases and the exempt properties in Nairobi, the researchers interviewed the officers at the Nairobi city land valuation and property management directorate using structured questionnaires. To address the third objective on whether the property tax base is complete and all-inclusive, the research relied on primary data. The research population was residential properties in Buruburu, Kilimani and Riruta areas of Nairobi city. The sample data on property details were collected from the Ministry of Land and Physical Planning (MLPP). The researchers then examined the records at the Nairobi City to evaluate whether the properties, which are registered at the MLPP, are charged land rates at the city level and at what amounts. This included properties under site value rating and area rating.

Managers are increasingly looking to adopt the Internet of Things (IoT) to include the vast amount of big data generated in their decision-making processes. The use of IoT might yield many benefits for organizations engaged in civil infrastructure management, but these benefits might be difficult to realize as organizations are not equipped to handle and interpret this data. The purpose of this paper is to understand how IoT adoption affects decision-making processes.

In this paper the changes in the business processes for managing civil infrastructure assets brought about by IoT adoption are analyzed by investigating two case studies within the water management domain. Propositions for effective IoT adoption in decision-making processes are derived.

The results show that decision processes in civil infrastructure asset management have been transformed to deal with the real-time nature of the data. The authors found the need to make organizational and business process changes, development of new capabilities, data provenance and governance and the need for standardization. IoT can have a transformative effect on business processes.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the propositions further.

The paper shows that data provenance is necessary to be able to understand the value and the quality of the data often generated by various organizations. Managers need to adapt new capabilities to be able to interpret the data.

This paper fulfills an identified need to understand how IoT adoption affects decision-making processes in asset management in order to be able to achieve expected benefits and mitigate risk.