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The purpose of this paper is to create a cost model at the general equipment level for industrial maintenance services.

The study is divided into two main sections. In the first phase the idea is to create a framework for a cost model with a literature review. The second, empirical part of the study is based on costing information from interviews and information given by network companies: a pulp mill, a maintenance company and an equipment provider. The maintenance of three different equipment processes is examined in the network through a case study, to get more specific information from real world situations to develop the model.

The findings concern the cost items that should be considered in the model, the structure of the model, and how the general cost model is constructed. During the research the model has been extended, and new cost categories included.

The cost model can be used in various performance measurement and decision‐making situations, such as maintenance service pricing, contract negotiations, outsourcing decisions, and life cycle cost management.

The cost model differs from traditional cost models. Earlier models have focused on the perspective of either the service provider or the customer, but not on both perspectives at the same time. However, in order to achieve a win‐win situation in a business network, open books practice is expected from each member of the network.

Throughout the 1980s and into the 1990s, manufacturing companies have adopted a wide variety of performance‐improvement programmes. Such approaches have resulted in productivity gains for some companies, although the UK still has few world‐class performers. Despite huge investment in performance‐improvement programmes, competitive advantage for many British companies still remains elusive. Looks at recent developments in thinking which have begun to shed light on why this is happening. Discusses flaws in the widely‐adopted competitive‐forces model and considers the strategic‐capabilities approach as an alternative and potentially crucial model. In the context of the whole organization, it is claimed that the role of facilities management has evolved from merely helping the organization survive, to acting to enhance its potential to prosper in a volatile commercial climate. Thus the challenge for facilities management is indeed the same challenge facing the organization.

The main purpose of this study is to investigate the influence of corporate image and relationship marketing on trust, the impact of trust on consumer purchase intention, and the moderating effects of word‐of‐mouth between the influence of trust on consumer purchase intention.

Consumers of an online travel agency in Taiwan aged over 18 were taken as the research sample. Primary data were collected through convenience sampling. Regression analysis was used to test the hypotheses.

The main findings are: corporate image has a significantly positive influence on trust, and commodity image has the most significant influence on trust, followed by functional image and institution image; structural and financial relationship marketing has significantly positive influence on trust, and structural relationship marketing has greater influence on trust compared with financial relationship marketing; trust has a significantly positive influence on consumer purchase intention; and positive word‐of‐mouth has a moderating effect between the influences of trust on consumer purchase intention.

Limitations of this study include: the data obtained in this study only reflected the correlations and cause and effect among the variables studied during a specific period of time; this paper only focused on tour agencies; consumers who used only the most popular online tour agencies were selected. Therefore, the samples might involve some bias. The implications of this study include: different types of corporate image will have different levels of influence on consumer trust. There is a need to support the previous study that relationship marketing has a significantly positive influence on consumer trust. The moderating effects of positive word‐of‐mouth between the influences of trust on consumer purchase intention must be examined. The influence of trust on purchase intention must be considered.

The study findings reveal the need and importance for a company to improve corporate image continuously. The study indicates the need to emphasize the use of critical relationship marketing and to realize the nature and importance of the moderating effect of word‐of‐mouth.

The value of this study is combined theory and practical and finding four management implications and three practical implications.

The purpose of this paper is to study the relationship between customer relationship management (CRM) system and customer satisfaction in branches of Ghavamin Bank in the capital city of Iran, Tehran.

Based on the review of literature a questionnaire was designed. After the verification of its validity and reliability, the data were collected from statistical population, the customers of selected branches at Tehran city. The data were analyzed using inferential statistics and the SPSS software, and frequency distribution, distribution indexes, Pearson's correlation, and regression methods were also used.

The results revealed that the four factors of CRM system, i.e. service quality, service characteristics, level of service access, and handling complaints have a positive effect on customer satisfaction in the surveyed branches of Ghavamin Bank.

The sample is restricted to only one city, so in generalizability of the obtained results caution should be taken.

Given the ever growing importance of banking industry in Iran as a developing country, the results of this study could help policy makers of the surveyed bank to realize the importance of CRM's criteria and characteristics in increasing customer satisfaction.

Describes the design and analysis of a computer‐based information system for inventory management in a computer service company. Studies the existing manual system for possible adaptation and necessary modifications and identifies the requirements of the users and the components of the system. To facilitate control, the parts are classified into four categories. Various quantitative models for demand forecast, economic order quantity, and safety stock are considered, and for each part type, an appropriate set of models is used depending on the relative importance of its category. The information system so designed is implemented in a modular form. The database for this application is implemented in dBASE III PLUS while the control programs are written in CLIPPER tools. Extensive user interface is provided for user‐friendliness.

The purpose of this paper is to introduce lean concept to the field of healthcare management, expands the conceptualization of lean management beyond the manufacturing companies to consider key waste reduction opportunities which are posited to be requisites to lean practices and implements the proposed framework in the three public hospitals in Abu Dhabi.

This research is designed by decomposing complex and unstructured issue into a set of components organized in a multi-level hierarchical form. To deal with this complexity of multi criteria decision-making process, analytical hierarchical process (AHP) method is used in this research.

AHP framework for this study resulted in a ranking of 21 healthcare wastes based on the evaluations of local situations by experienced healthcare professionals. It has been found that management in healthcare systems of Abu Dhabi is putting more emphasis on the inventory waste.

The future directions of the research would be to apply a lean set of tools for the value stream optimization of the prioritized key improvement areas.

This is a contribution to the continuing research into lean management, giving practitioners and designers a practical way for measuring and implementing lean practices across health organizations.

The contribution of this research, through successive stages of data collection, measurement analysis and refinement, is a set of reliable and valid framework that can be subsequently used in conceptualization, prioritization of the waste reduction strategies in healthcare management.

Companies are now using social network sites (SNSs) within their marketing and brand-building activities. Twitter is the preferred SNS for creating brand communities, which offer companies many advantages. The purpose of this paper is to examine how individuals manage their competing needs for being affiliated (operationalized as personal and communal-brand connections) and for being seen as distinctive (operationalized as need for uniqueness (NFU)) when they are members of brand communities on Twitter. The authors have also analysed which type of brand community is able to achieve the balance between both needs, enhancing identification with the brand community.

A total of 318 valid responses were collected from three camera brand communities on Twitter. Messages (“tweets”) which included a link to an online questionnaire were sent to community members via Twitter. The authors examine the proposed model using structural equation modelling.

The authors demonstrate that consumers can satisfy their need for affiliation in brand communities created in Twitter. However, consumers can only reach a balance between the need for affiliation and the need for distinctiveness in brand communities built around niche brands. In contrast, the two needs work in opposition to shape identification in brand communities of big brands.

Optimal distinctiveness theory is used as a theoretical background for proposing how the antecedents of identification with the brand community enhance brand loyalty, with reference to the conflict between the individual’s needs for both distinctiveness and affiliation. Consumers’ identification with the brand community is proposed as a mediator to achieve brand loyalty in brand communities. Consumers reach this balance in brand communities built around a niche brand, where individuals with high NFU feel a high identification with the brand community. For big brands, as consumers’ NFU increases, their identification with the brand community and brand loyalty decreases.

Agency theory motivated this study, posing that leverage mitigates the agency problem. The aim was to examine whether leverage influences the relationship between executive-employee pay gaps (EEPGs) and firm performance. The study was conducted in the mining and retail sectors between 2012 and 2021.

Two EEPGs were featured based on their executive fixed pay and variable incentives accumulation. Proxies of firm performance were headline earnings per share; return on assets; earnings before interest, tax, depreciation and amortisation; and return on stock price. Data were collected from 76 JSE-listed firms in the retail and mining sectors and analysed using the two-step generalised method of moments.

The results revealed the hybrid implication of the pay gap for firm performance in the retail and mining sectors of South Africa, depending on the performance measures emphasised. More importantly, the study shows that with the moderating effects of leverage, firms can improve their performance while shrinking the pay gap.

The results have implications for policy addressing income inequality, debt management, executive compensation and regulatory reforms in South Africa concerning productivity and remuneration decisions.

The article provides specific literature for retail and mining industries on pay gaps, shows that it is possible to reduce the pay gap without compromising performance and suggests a new measure of performance that is more attuned to pay gap effect measurement.

The purpose of this paper is to analyze the innovation process of organizations representing the main sectors of Brazilian economic activity.

The literature review focuses on analyzing the innovation process characteristics regarding the innovation types. The authors carried out interviews with executives and managers in charge of innovation at the leading large companies in the respective sectors analyzed. The data analysis of this qualitative research was structured in three steps. The first step is the analysis of data collected for encoding, the second step, the summarization of the common points presented by the companies in each sector and, finally, the interpretation of these data, aided by triangulation from secondary data that support the analysis of the collected primary data.

The main contribution of this study is to characterize the innovation process of organizations representing the main sectors of the Brazilian economy, with a classification regarding the sectoral innovation standard.

The authors’ intent is that the paper can contribute with a comparative analysis among companies of the same sector and, subsequently, among companies of the different surveyed sectors. Thus, the characterization aims to present the companies’ innovation process and the comparative analysis aims to verify the innovation sectoral patterns. In addition, as implications for management practice, some strategies for better knowledge management in the organization are suggested for each type of innovation.

The main theoretical contribution focuses on the development of a conceptual model that structures the analyzed variables of the constructs “innovation process” and “innovation sectoral patterns”, allowing not only the characterization but also the comparative analysis of the representative organizations present in the sample.