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The purpose of this paper is to present research assessing the level of qualitative adequacy of newly constructed public housing in urban centres in Ogun State, Nigeria.

The study followed a quantitative research strategy. A survey of 517 housing units constructed through four different strategies and selected based on quota of their existence in nine public housing estates was conducted with a questionnaire as the key data collection instrument. A five‐point Likert scale was used in measuring the level of qualitative adequacy of four key housing sub‐components. The data were analysed using descriptive statistics.

Residents found the overall housing to be inadequate; they indicated that housing unit attributes were the most adequate and thus contributed most, while neighbourhood facilities were the least inadequate and contributed the least to qualitative housing adequacy.

The sample population comprised mainly house heads in public housing constructed between 2003 and 2009 therefore, the findings may not be considered to be applicable to all the public housing in the study area. However, the findings can form the basis for judging the performance of public housing in the current democratic dispensation in the study area.

The findings imply that giving adequate attention to the provision of infrastructural facilities and maintenance of existing ones can enhance the qualitative adequacy of public housing.

This paper is a pioneering effort at evaluating the qualitative adequacy of most recently constructed public housing in the study area.

Purpose: Most of the characterizations of inequality or poverty indices assume some invariance condition, be that scale, translation, or intermediate, which imposes value judgments on the measurement. In the unidimensional approach, Zheng (2007a, 2007b) suggests replacing all these properties with the unit-consistency axiom, which requires that the inequality or poverty rankings, rather than their cardinal values, are not altered when income is measured in different monetary units. The aim of this paper is to introduce a multidimensional generalization of this axiom and characterize classes of multidimensional inequality and poverty measures that are unit consistent.

Design/methodology/approach: Zheng (2007a, 2007b) characterizes families of inequality and poverty measures that fulfil the unit-consistency axiom. Tsui (1999, 2002), in turn, derives families of the multidimensional relative inequality and poverty measures. Both of these contributions are the background taken to achieve our characterization results.

Findings: This paper merges these two generalizations to identify the canonical forms of all the multidimensional subgroup- and unit-consistent inequality and poverty measures. The inequality families we derive are generalizations of both the Zheng and Tsui inequality families. The poverty indices presented are generalizations of Tsui's relative poverty families as well as the families identified by Zheng.

Originality/value: The inequality and poverty families characterized in this paper are unit and subgroup consistent, both of them being appropriate requirements in empirical applications in which inequality or poverty in a population split into groups is measured. Then, in empirical applications, it makes sense to choose measures from the families we derive.

Considering the significance of organisational attributes and competitiveness, it is necessary to explore how the attributes affect enterprise competitive capabilities. This paper intends to identify the dominant and critical attributes with the greatest influence on each priority. The present research intends to identify the potential for the use of a neural network in the area where statistical modelling approaches have traditionally been used. A method of artificial neural network (ANN) has been proposed. For the ANN, capability of a multi‐layer perceptron with back propagation algorithm is made use of. The proposed network configured can detect, classify and estimate the extent of effects of agile attributes on competitive capabilities. The potential of the above approach is illustrated with an empirical study to show that a neural network approach is a very promising tool for the manufacturing enterprise design.

This study aims to trace the transformation in the form of apartment building and the connotations it has in understanding the changes that occurred in the Jordanian society’s lifestyle over the past five decades.

A comparative case study analysis has been conducted amongst 170 apartments, covering 70 design attributes related to aspects of appearance, spatial organisation, parking and access to building, outdoor space and finishing. This was followed by experts and households solicitation to help giving more confidence on the validity and reliability of findings regarding the sorts and justifications for the changes that have taken place in the form of apartments over the studied time frame.

The results reveal changes in design attributes indicating particular alterations in people’s lifestyle. New interests act in formulating recent housing design attributes. People seem to turn into a more open social life within public community but more privatised living amongst family members. People are becoming more attached to indoor modernised lifestyle, in homes and public areas where activities take place. This entails pursuing a more comfortable, facilitating and enjoyable life that presents luxury and tranquillity.

Understanding the relationship between transformations in the built form of apartment buildings and the associated social alterations provides useful insights towards improving housing provision to better match the ever-changing demands of people and respond to alterations in their lifestyles.

The purpose of this paper is to focus on how the concept design stage of a powertrain system can be improved by using a purely objective driven approach in selecting a final concept design to progress further. This research investigation will examine the development of a novel test-bed to assist in the selection of powertrain technologies during the concept design phase at Ford Motor Company Ltd, serving as the main contribution to knowledge.

The objectives of this research were achieved by carrying out a literature review of external published work related to concept design evaluation methods within product development and value engineering techniques. Empirical studies were conducted with a supporting case study used to test the application of a new test-bed to improve the concept design decision process.

A quantitative new tool “Product Optimisation Value Engineering” (PROVEN) is presented to critically assess new and evolving powertrain technologies at the concept design phase.

This research improves the concept design selection process, hence increasing the product value to the customer.

The new test-bed “PROVEN” incorporates a data-driven objective approach to assist in assessing concept design alternatives in providing the net value in terms of function and cost as perceived by the customer.

A mathematical new test-bed that incorporates a highly adaptable, data-driven and multi-attribute value approach to product specification and conceptual design is developed, novel to the automotive concept design process. This will create a substantially optimised product offering to the market, reducing overall development costs while achieving customer satisfaction. The new tool has the ability to define a technology value map to assess multiple technical options as a function of its attributes, whose precise values can be determined at a given cost.

The purpose of this paper is to use theoretical and field evidence to discuss what the value-attributes for academic-administrative services as perceived by students in higher education institutions (HEIs) and how such organizations deliver them. An emerging framework relating value-attributes for HEIs’ administrative and academic services is presented from the perspective of students.

Focus group analysis with Brazilian HEI’s students supported this study. Extensive theoretical references from lean services and services theory contribute to building an emerging framework that extends the background on the subject.

The following framework of eight value-attributes for administrative services in HEIs were studied: reliability, empathy, access, responsiveness, self-service technology convenience, communication, personalization and imperceptibility. The value-attributes may receive different degrees of prioritization and improvement effort according to the type of service and strategic positioning of the organization.

Field evidence is limited by the extent of students and organizations accessed. Implications include directing future research to produce a quantitatively validated model and as an emerging framework, to support decision-planning in the context of HEIs.

The study extends the literature relating the connection between lean services, services theory and higher education services. No similar study has been found in Brazilian HEIs.

The purpose of this paper is to explore the question of whether or not there are three distinct targets of commitment in consumers' relationships with their service providers; commitment to the service company, commitment to the individual service provider, and commitment to the individual provider as a friend or acquaintance.

Initial theories regarding targets of commitment in service relationships are developed with reference to the literature in psychology, organizational behavior, and marketing. Exploratory research into the commitment construct in service relationships is conducted using a prototyping approach. The prototyping approach involves the exploration of natural language concepts including the identification of a concept's attributes, and the concept's relationship to other concepts.

The results of the prototyping analysis give us preliminary evidence to suggest that that the three targets of commitment while related, are independent. Each target of commitment has a number of unique and central attributes.

Commitment is an important variable in the study of relationship marketing; however, in most marketing studies, the target of a customer's commitment is not clearly defined, nor have potential differences between various targets of commitment been fully explored. This research highlights the fact that relationship commitment is a multi‐level variable. In addition, this research demonstrates the effectiveness of the prototyping methodology in the exploration of abstract concepts and the relationship between them.

Evolution can be easily observed in nature world, and this phenomenon is a research hotspot no matter in natural science or social science. In crowd science and technology, evolutionary phenomenon exists also among many agents in crowd network systems. This kind of phenomenon is named as crowd co-evolutionary, which cannot be easily studied by most existing methods for its nonlinearity. This paper aims to proposes a novel simulation framework for co-evolution to discover improvements and behaviors of intelligent agents in crowd network systems.

This paper introduces a novel simulation framework for crowd co-evolutions. There are three roles and one scene in the crowd. The scene represented by a band-right to a ringless diagram. The three roles are unit, advisor and monitor. Units find path in the scene. Advisors give advice to units. Monitors supervise units’ behavior in the scene. Building a network among these three kinds member, influencing individual relationships through information exchange, and finally enable the individual to find the optimal path in the scene.

Through this simulation framework, one can record the behavior of an individual in a group, the reasons for the individual's behavior and the changes in the relationships of others in the group that cause the individual to do so. The speed at which an individual finds the optimal path can reflect the advantages and disadvantages of the relationship change function.

The framework provides a new way to study the evolution of inter-individual relationships in crowd networks. This framework takes the first-person perspective of members of the crowd-sourced network as the starting point. Through this framework, the user can design relationship evolution methods and mathematical models for the members of different roles, so as to verify that the level of public intelligence of the crowd network is actually the essence of the rationality of the membership relationship.

The purpose of this study is to examine the information needs of earth and environmental scientists regarding how they determine data reusability and relevance. Additionally, this study provides strategies for the development of data collections and recommendations for data management and curation for information professionals working alongside researchers.

This study uses a multi-phase mixed-method approach. The test environment is the DataONE data repository. Phase 1 includes a qualitative and quantitative content analysis of deposited data. Phase 2 consists of a quasi-experiment think-aloud study. This paper reports mainly on Phase 2.

This study identifies earth and environmental scientists’ information needs to determine data reusability. The findings include a need for information regarding research methods, instruments and data descriptions when determining data reusability, as well as a restructuring of data abstracts. Additional findings include reorganizing of the data record layout and data citation information.

While this study was limited to earth and environmental science data, the findings provide feedback for scientists in other disciplines, as earth and environmental science is a highly interdisciplinary scientific domain that pulls from many disciplines, including biology, ecology and geology, and additionally there has been a significant increase in interdisciplinary research in many scientific fields.

The practical implications include concrete feedback to data librarians, data curators and repository managers, as well as other information professionals as to the information needs of scientists reusing data. The suggestions could be implemented to improve consultative practices when working alongside scientists regarding data deposition and data creation. These suggestions could improve policies for data repositories through direct feedback from scientists. These suggestions could be implemented to improve how data repositories are created and what should be considered mandatory information and secondary information to improve the reusability of data.

By examining the information needs of earth and environmental scientists reusing data, this study provides feedback that could change current practices in data deposition, which ultimately could improve the potentiality of data reuse.

While there has been research conducted on data sharing and reuse, this study provides more detailed granularity regarding what information is needed to determine reusability. This study sets itself apart by not focusing on social motivators and demotivators, but by focusing on information provided in a data record.

Commonly used rent indices are based on average developments or expert opinions. Such indices often suffer from compositional biases or low data coverage. The purpose of this paper is to overcome these challenges using the authors' approach.

The authors construct a quality-adjusted rent index for the office market in Oslo using detailed data from 14,171 rental contracts.

The authors show that compositional biases can have a large impact on rental price developments. By adding building-fixed effects to a standard hedonic regression model, the authors show that the explanatory power increases considerably. Furthermore, indices excluding location-specific information, or which include less granular location controls than at the building level, portray quite a different picture of rent developments than indices that do take this into account. The authors also exploit information on contract signature date and find that a more timely detection of turning points can be achieved by using the signature date instead of the more typically used start date of the lease.

The study is confined to Norwegian data, and an avenue for future research would be to explore if similar results are obtained for other countries. A weakness with the paper is that authors' do not observe quality changes over time, such as renovation. Controlling for time-varying and unit-specific attributes in hedonic models for the commercial real estate (CRE) market would be useful to purge indices further for compositional effects and unobserved heterogeneity. While the authors do control for building-fixed effects, there are additional variations within a building (floor, view, sunlight, etc.) that the authors do not capture. Studies that could control for this would certainly be welcome, both in order to estimate the value of such amenities and to see how it affects estimated rent developments. Another promising avenue for future research is to link data on rental contracts in the CRE market with firm-specific information in order to explore how firm profitability and liquidity may affect rental contracts.

The authors show that the hedonic index yields a sharper fall in rents after the global financial crisis and more muted developments in the period between 2013 and 2015 than the average rent index. The results show that rents have followed their estimated equilibrium closely and have re-adjusted quickly in periods of deviation. From a financial stability perspective, the risk of a sharp fall in rents is reduced because rents often are in line with their fundamentals.

The authors find that a more timely detection of turning points can be achieved by using information on the signature date. This is an important finding. The financial system is heavily exposed toward CRE, and timely detection of turning points is critical for policymakers.

The financial system is heavily exposed toward the commercial real estate market and timely detection of turning points is of major importance to policymakers. Finally, the authors use our quality-adjusted rent index as the dependent variable in an error correction model. The authors find that employment and stock of offices are important explanatory variables. Moreover, the results show that rents have followed their estimated equilibrium path.