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The purpose of this paper is to investigate the impact of dividing the companies’ customers into different priority groups to be served according to their payment history and feedback on the business performance areas: service quality (SQ), business process time (BPT), business process cost (BPC) and customer satisfaction (CS).

A new numerical model to improve CS service waiting time according to their priority queue class, particularly customers in the high priority queue class will be proposed. To validate the proposed numerical model, a call centre at the selected telecommunication company is used as a case study. An empirical analysis based on data from 130 business and IT managers is used to evaluate and investigate if it has an impact on business process (BP) performance. Bivariate correlation analysis was used to test four hypotheses. The results were subjected to reliability and validity analyses.

The results show that managing customer power is positively associated with BP performance. Furthermore, the results indicate that by using the proposed numerical model, the customers’ satisfaction can be improved.

The paper has some limitations as it is only tested on one real business organizations and one BP service. Furthermore, the study was conducted only in telecommunication companies. The questionnaires were answered only by IT and business managers in Saudi Arabian telecommunication companies. Therefore, the results cannot be used as a standard and might not be directly transferrable to any sized firm and any other country. Moreover, the results may be affected by common method variance as the authors collected the data from participants by using the same survey and at the same time.

The results of this research provide important evidence for business managers and business analysts that managing customers power can enhance the business performance.

To date, there is only a few researches have been conducted in the area of separating customers into different priority groups to provide services according to their required delivery time, payment history and feedback. However, most of them have not been evaluated in the business environment. Moreover, no previous study has attempted to empirically demonstrate the relationship between creating a BP model which can manage customer power, SQ, BPT, BPC and CS.

This study aims to present a taxonomic framework that categorizes hotel loyalty program members on the basis of involvement and a mix of behavioral outcome variables.

The taxonomy is derived through mixture modeling from a sample of 1,395 loyalty program members of two global hotel chains.

Study results suggest the presence of four classes of program members across both hotels. Class members differ with respect to the attitudes they hold, the behaviors they exhibit, and the motivations they have for maintaining membership in the program.

First, the study enhances understanding of member differences that exist within loyalty programs. Second, the study advances understanding of the ways through which loyalty programs can best be managed. Third, the study illustrates the usefulness of mixture modeling as a classificatory tool.

Study results are not generalizable beyond the sample used in deriving them. Further, decisions pertaining to what variables to include in developing a taxonomic framework are critical to its usefulness. The choice to include certain variables as well as their related measures, to the exclusion of others, represents a second limitation.

The study is but the second to empirically categorize loyalty program members, and the first to do so in a services context. Two classes of high‐involvement customers emerge, each with contrasting attitudes and behaviors. Thus, our findings suggest that high levels of involvement invoke the most extreme of customer attitudes and behaviors.

It is very complicated to keep the business processes under control since the business processes change rapidly and thus flexibility is an important attribute which businesses should possess in order to respond to rapid changes in the business environment. The purpose of this paper is to divide the companies' customers into different priority groups to be served according to their payment history and feedback in order to increase the companies' performance and profit and save the time of customers within high priority class which may lead to increase their satisfaction.

The paper proposes a requirements engineering‐based approach for business process modelling to assist businesses maintain their performance in such an environment. The paper proposes a new numerical model to improve customer satisfaction in relation to delivery or service waiting time according to their priority class, particularly customers in the high priority class. A call centre at the selected telecommunication company is used as a case study to validate the proposed numerical model.

The customers' satisfaction in the area of the time to be served according to their priority group classes can be improved using the proposed model.

The paper has some limitations as the paper only tested the numerical model on one real business organisation and one business process service.

To date, no research has been conducted in the area of separating customers into different priority groups to provide services according to their required delivery time, payment history and feedback which will increase the company's performance and profit and provide prompt service to customers in the high priority class which in turn, will increase their satisfaction.

With a focus on service encounters in the luxury segment of hospitality and tourism, the authors analyse how inherent social class distinctions and status differences are (re-)produced and which role gender plays in this process of “doing class”.

The authors combine concepts of class work and inequality regimes with a focus on intersections of class and gender. The empirical study is based on interviews in Germany with first-class flight attendants, five-star hotel employees, and luxury customers on how they perceive and legitimize luxury services, working conditions and status differences.

The authors identify perceptions and practices of status enhancement and status dissonance among luxury service workers, as well as gender practices and meanings such as specific feminized roles service workers take on. The authors also conceptualize these intersecting patterns of inequality reproduction as “gendered class work”.

The study broadens empirical accounts of labour relations in the service industries. The concept of organizational class work is extended towards worker–customer interactions. With the concept of gendered class work, the authors contribute to research on the intersectionality of class and gender and the reproduction of inequalities.

This paper aims to examine the interaction effect among the subjective social class, service level and recovery type on post-failure service evaluations (recovery satisfaction and willingness to spread positive word-of-mouth).

A total of 270 US consumers were recruited via Amazon MTurk. This study adopted a 2 (Subjective social class: high vs low) × 2 (Service level: luxury vs mid-scale) × 2 (Recovery type: customer self-recovery vs joint recovery) between subjects’ factorial design using a scenario-based survey method.

The results from the three-way multivariate analysis of covariance confirmed that a joint recovery is ineffective for high subjective social class individuals in a mid-scale hotel setting. Moreover, the moderated mediation analysis revealed that this tendency can be explained by high subjective social class individuals’ tendency to attribute blame externally to self-service technologies (SSTs).

The results of this study suggest that mid-scale hotels should deploy employees in the SST service area based on the profile of their main customers. If a mid-scale hotel is positioning itself to appeal to high subjective social class customers, then employees should be aware of the fact that customers may not be highly satisfied if they receive assistance.

This study expands the current knowledge on customers’ psychological differences based on subjective social class. Furthermore, the findings of this study contribute to academia by providing evidence of external attribution among high subjective social class individuals.

The ideas expressed in this work are based on those put into practice at the Okuma Corporation of Japan, one of the world′s leading machine tool manufacturers. In common with many other large organizations, Okuma Corporation has to meet the new challenges posed by globalization, keener domestic and international competition, shorter business cycles and an increasingly volatile environment. Intelligent corporate strategy (ICS), as practised at Okuma, is a unified theory of strategic corporate management based on five levels of win‐win relationships for profit/market share, namely: ,1. Loyalty from customers (value for money) – right focus., 2. Commitment from workers (meeting hierarchy of needs) – right attitude., 3. Co‐operation from suppliers (expanding and reliable business) – right connections., 4. Co‐operation from distributors (expanding and reliable business) – right channels., 5. Respect from competitors (setting standards for business excellence) – right strategies. The aim is to create values for all stakeholders. This holistic people‐oriented approach recognizes that, although the world is increasingly driven by high technology, it continues to be influenced and managed by people (customers, workers, suppliers, distributors, competitors). The philosophical core of ICS is action learning and teamwork based on principle‐centred relationships of sincerity, trust and integrity. In the real world, these are the roots of success in relationships and in the bottom‐line results of business. ICS is, in essence, relationship management for synergy. It is based on the premiss that domestic and international commerce is a positive sum game: in the long run everyone wins. Finally, ICS is a paradigm for manufacturing companies coping with change and uncertainty in their search for profit/market share. Time‐honoured values give definition to corporate character; circumstances change, values remain. Poor business operations generally result from human frailty. ICS is predicated on the belief that the quality of human relationships determines the bottom‐line results. ICS attempts to make manifest and explicit the intangible psychological factors for value‐added partnerships. ICS is a dynamic, living, and heuristic‐learning model. There is intelligence in the corporate strategy because it applies commonsense, wisdom, creative systems thinking and synergy to ensure longevity in its corporate life for sustainable competitive advantage.

This paper aims to explore a theoretical relationship among perceptions of consumer social class, the perceived legitimacy of customer requests for service and the delivery of intangible services. It focuses the discussion on service firm encounters with non-traditional consumers seeking to purchase from luxury brands.

The paper reviews the literature for current trends in strategies of luxury brands and characteristics of evolving global and Asian consumer markets for luxury and neo-luxury goods and draws a theoretic model with propositions.

Evidence suggests that service providers can improve efforts to expand services to the newly rich and trading-up neo-luxury consumer markets by focusing on the intangible elements of the service delivery system. Particular emphasis is placed on enhancing employee treatment of neo-luxury customers during service encounters by understanding the influence of employee perceptions of consumer social class and evaluations of the perceived legitimacy of customer requests for service.

The paper contributes to the theoretical discussion in luxury brand management by suggesting that employees are influenced by impressions of customer worth and other attributes when determining responses to customers during service encounters. Implications for practitioners and future research directions for academics based on the framework are presented.

To describe the need and suggest guidelines for a formal, written manual that provides a firm, its registered representatives, and its supervisory principals a line of defense against costly repercussions from sales practice violations.

Discusses regulations concerning the suitable sales of securities to customers, the legal basis for reasonable supervision, why a brokerage firm's business model should guide it in building its manual, contents of a prototype manual, how investment objectives and risk tolerance should be considered, how performance information is disclosed so it is understandable to the customer, both justifiable reasons and dangers related to switching a customer from one fund to another, commission savings issues (including breakpoints, letters of intent, rights of accumulation, and reinstatement privileges), and home office supervision of reps and supervisory principals.

Regulators are concerned with an investment firm's culture of compliance, including its written supervisory procedures and evidence of supervisor training and compliance performance. To support principals charged with supervising registered reps and investment adviser reps, a firm should have a formal training program that starts out with a well‐thought‐out mutual fund suitability guidelines manual.

A hands‐on guide for writing an important manual by a specialized investment compliance lawyer.

In recent years, a number of alternatives for service differentiation and QoS provision have been proposed and standardized in communication networks. In the case of back‐bone networks the DiffServ architecture has prevailed, due to its scalability and deployment feasibility. The provisioning of differentiated services has raised the requirements for interdependent controlled resource allocation and service pricing, with particular needs for pricing mechanisms that preserve the potential and flexibility of the DiffServ framework. At the same time, such mechanisms should reflect resource usage, allocate resources efficiently, reimburse costs or maximize service provision profits and lead customers to requesting services that will maximize their revenue. Presents the key issues involved in the area of pricing DiffServ‐based services and the research work carried out in this field, while at the same time outlining the basic principles that such a pricing infrastructure should obey with respect to the particularities that apply to the case of DiffServ services provision.

This paper aims to explore how different service relationships (mentoring relationship versus partnering relationship) in service co-production affect service outcomes. Specifically, it aims to explore whether the effects of service relationships on customers’ intention to purchase the service are contingent upon service appeals’ regulatory focus (promotion versus prevention focus) and when the regulatory fit effects exist.

Three experimental studies were conducted to test hypotheses. ANOVA and bootstrapping were used to analyze the data.

The findings of the three experiments provide convergent evidence for the hypotheses. Specifically, when customers view service employees as mentors (versus partners) in service co-production, promotion-focused (versus prevention focused) service appeals effectively enhance customers’ intention to purchase the service because customers experience a regulatory fit. Moreover, the regulatory fit effects are strengthened or attenuated according to customers’ subjective social status.

Service firms should adopt promotion-focused (versus prevention-focused) service appeals if employees and customers are having mentoring (versus partnering) relationships, especially when customers have higher (lower) social status.

To better manage service co-production, this paper investigates beneficial outcomes of mentoring and partnering relationships from a regulatory fit perspective. It highlights the importance of compatibility between service relationship and service appeals’ regulatory focus and demonstrates a novel regulatory fit effect. It also uncovers engagement as the underlying mechanism for the regulatory-fit effect and identifies social class as a boundary condition.