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The image that a bank has in the consumer's mind is the most important type of branding that it can offer and should be the central component within any marketing strategy. Consumer attitudes have been modified by two principal factors — the wider range of services offered means that banks are in the public eye more often, and have changed perceptions about money and financial institutions, and the process of social change is contributing to changed perceptions and expectations from service organisations. There are four interconnecting aspects in developing a corporate image that will make the bank more recognisable and stronger and communicate with the public — corporate identity, public relations, advertising and delivery systems (promotion).

Ancillary services as a generic product‐service group represent a key area for growth in the retail banking sector provided their introduction is low and concurrent with culture change within the sector. Ancillary services will absorb surplus staff for marketing purposes; the branch network will evolve towards a newer retailing‐based role, and the selling of integrated packages of services will retain customer contact and reinforce customer loyalty. These services can also boost fee earning and incremental profit, increasing market strength. Changing product design, training, infrastructure (branch design), and management control will aid the shift of the retailing structure towards ancillary services. However, these must not be seen to provide cosmetic solutions to banks' deeper problems, and the strategy should not provide a service far removed from existing operations.

As the retail banking market becomes more price competitive in terms of the products and services offered and as the introduction of new technologically based products breaks down the traditional homogeneity of bank products, so banks must necessarily move towards a position where they either adopt largely explicit and rational pricing policies, or alternatively introduce policies that both reinforce customer loyalty and obtain a substantial long‐term return from the totality of the relationship with the customer. In recognising and analysing this problem, the major implications for banks′ cost structures, and the way in which they price their products and organise their business activities are assessed.

The purpose of this study is to develop a customised model to measure the performance of housekeeping (HK) services in Sri Lankan health-care facilities.

An exploratory sequential mixed approach was adopted in the study to collect and analyse data. A case study strategy was adopted in the initial phase to explore the current HK practices, and to determine the applicable key performance indicators (KPIs) found through literature. Semi-structured interviews were used as the data collection method in the selected case studies. A questionnaire survey was conducted in the next phase to verify the validity of case study findings. Quantitative data were analysed using descriptive statistics. One sample t-test was used to identify significant KPIs and to formulate the customised performance measurement (PM) model.

The study identified and ranked 46 KPIs, which can be used to measure the performance of HK divisions of health-care facilities, in balanced scorecard perspectives. The findings also revealed that the KPIs determined using the model have a significant impact on implementing effective health-care HK services and could be used to measure both real and subjective cleanliness.

The developed model can be used for numerous PM requirements in health-care setups in both developing and developed countries. The KPIs determined using this model can be presented in quality audits and government inspections as proof of effective HK management. The HK managers of the health-care sector can effectively monitor the performance of their divisions using the proposed PM model and this model can be customised to match the other facilities management service divisions.

Many studies focus on overall health-care PM. This study expands the knowledge on HK PM in the health-care sector by presenting a collection of performance indicators centred on HK function.

The purpose of this paper is to develop a comprehensive list of key performance indicators (KPIs) that can be employed in determining the functional performance of academic and research laboratory facilities.

The study employed a two-phase approach. First, a thorough literature review was conducted to identify potential KPIs specific to the performance of laboratory facilities. This was followed by an assessment of the KPIs by 12 respondents including 6 professionals and 6 users. The KPIs were arranged in the form of a questionnaire survey containing response columns for agree/disagree, and importance rating scales for evaluation. The relative importance index values were also computed.

The result of the study was a comprehensive list of 161 KPIs classified into nine categories including: space, access/circulation, utilities and waste, environmental conditions, furniture, appearance/finishes/image, communications, storage within the space and special building features. These KPIs were perceived to be at varying levels of importance by the respondents.

Though previous studies developed KPIs for the performance of facilities, these KPIs are not universal. Thus, the originality of this study is in its identification of a comprehensive set of KPIs unique to the design, evaluation and management of research and academic laboratory facilities.

The purpose of this paper is to synthesize the previously established list of key performance indicators (KPIs), to identify and categorize the core performance indicators that are measurable and quantifiable.

A literature-based qualitative approach is adopted for accumulating desired information on identifying and categorizing the core indicators. The list of KPIs established in an earlier paper is narrowed down considering the future research needs suggested by the literature.

The quantifiable and measurable core indicators are identified and categorized in the form of a list. The core indicators are defined and the variables required to quantify them are described by citing peer-reviewed literature.

This paper represents the first step toward establishing a relevant list of quantifiable and measurable core KPIs. Future research papers could emphasize derivation of mathematical expressions for determining the identified core KPIs and validating these KPIs using simulation of real building data.

The need to establish a concise and relevant list of quantifiable and measurable KPIs that could express more than one type of information about a facility's performance is identified in this paper. This paper presents and describes a narrowed down list of core KPIs, which could be utilized by facility management industry professionals while performing a holistic performance assessment.

This paper provides a list of core KPIs that could express more than one aspect of a facility's performance and that is measurable and quantifiable.

The purpose of this paper is to identify key variables that affect the quantifiable key performance indicators (KPIs) and to derive equations to measure these indicators. Qualitative KPIs are also discussed in terms of the aspects that need to be covered while carrying out qualitative performance assessment.

A combination of literature and an industry opinion-based qualitative approach is applied to develop equations to calculate the quantifiable KPIs. A facility asset management consulting firm is included in the process of deriving the equations. Key aspects of a facility's qualitative performance assessment are categorized and discussed by performing a literature review.

Mathematical expressions for core performance indicators are presented and discussed along with key variables. In addition, the information needed to quantify these core indicators is also discussed.

This paper represents the second step towards establishment of a relevant list of quantifiable and measurable core KPIs, which were identified and categorized in Part I of this paper. In Part II, the authors derive equations to quantify the core KPIs. Future research is needed to use relevant information from industry for validating these equations.

A need for a concise and relevant list of KPIs was identified in Part I of this paper. Part II provides an approach to quantify the core KPIs based on information that is available in the industry. This research will help facility management professionals in not only selecting the indicators of choice, but also quantifying them based on available information yielding enhanced facility management decisions with measurable facility performance outcomes.

This paper provides equations and variables to measure a facility's physical, functional and financial performance using both quantitative and qualitative performance assessments.

Despite 80 years of military aircraft development producing remarkable differences between early cockpits and those of today, the function of the cockpit has yet to change. Before discussing reasons for expanding the function of future cockpits it is only prudent to assure ourselves that today’s cockpits are as good as they should be. Considers the following questions: how should we assess (let alone measure) the overall quality of a cockpit? Within a total budget how much money should we spend improving the cockpit as opposed to other parts of the same aircraft?

The purpose of this paper is to present the outcomes of digitisation of special collections: mapping, assessment, prioritisation (DiSCmap), a JISC and RIN‐funded project which studied users' priorities for the digitisation of special collections within the context of UK Higher Education Institutions (HEIs).

The project produced a list of 945 collections nominated for digitisation by intermediaries and end users and a user‐driven prioritisation framework. Data were gathered via web questionnaires. Focus groups and telephone interviews with end users provided additional insights on the views of those working within particular domains or disciplines. Over 1,000 intermediaries and end users contributed by nominating collections for the “long list” and providing opinions about digitisation priorities.

The long list of collections nominated for digitisation provides evidence of identified user interest and is not merely a “snapshot” but a significant outcome. A user‐driven framework for prioritising digitisation was also produced. The project suggests a flexible approach for prioritising collections for digitisation based on the use of the framework in combination with the long list of collections.

The project did not undertake a representative study; the participation of intermediaries and end users was a matter of goodwill. Yet 44 per cent of HEIs in the UK nominated special collections to the long list.

The paper provides new insights and evidence on user priorities for the digitisation of special collections. It also suggests a user‐driven digitisation prioritisation framework of benefit in future decision making, both locally and nationally.

The purpose of this paper is to identify key performance indicators (KPIs) and categorize them based on specific aspects of facility performance measurement in order to facilitate a holistic performance assessment.

A qualitative approach, based on the literature, is adopted. This approach relies on an extensive literature search of extant research papers, assessment reports, surveys and presentations to identify KPIs. The KPIs are arranged in appropriate categories based on their purpose and content.

The paper identifies indicators for performance measurement and classifies them into four major categories: financial, physical, functional, and survey‐based. Indicators are arranged from general to the most specific indicators. The list presents indicators with their description, units of measurement, and literature sources.

Future research could focus on further analysis of the list of KPIs in order to generate a more concise list of easily measurable indicators that exhibit wide applicability and valid categorization.

The lack of proper categorization hampers frequent and widespread use of performance metrics by the industry. This study proposes a list of KPIs and presents it in appropriate categories so it can be used more practically by facility management practitioners.

The list of KPIs generated covers aspects of facility performance assessment and shows wider applicability; thus, it could be utilized by practitioners for a holistic assessment of a wide range of facilities.