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Drawing on the theoretical lens of the job demands-resources model, this study builds upon and tests a conceptual model that links customer prioritization, product complexity, business ties, job stress and customer service performance. Conceptualizing customer prioritization and product complexity as job demands and business ties as personal job resources, this research explicates the mediating process by which customer prioritization and product complexity affect customer service performance through job stress and its boundary conditions. The purpose of this paper is to offer a theoretical framework in which business ties moderates the mediated relations of customer prioritization and product complexity to customer service performance.

Structural equation modeling and a moderated mediation analysis were used on a unique multi-level, multi-respondent data set of 248 participants from 124 small and medium-sized enterprises in Turkey.

This study finds that both customer prioritization and product complexity increase job stress. In addition, this paper finds that business ties have a bitter-sweet nature as a personal resource and reverse the relation of customer prioritization to job stress while strengthening the negative direct relation of product complexity to job stress. Finally, this study finds that the indirect relation of customer prioritization to customer service performance through job stress is contingent on business ties. Specifically, this paper finds that high levels of business ties negate the indirect relation of customer prioritization to customer service performance while low levels of business ties exacerbate the negative effects of customer prioritization to customer service performance, channeled through job stress.

The findings demonstrate the critical role that personal networks play in reducing job stress and enhancing customer service performance for small and medium-sized enterprises that adopt customer-centric strategies such as customer prioritization. Nevertheless, the results suggest that the managers need to cognizant of the undesirable consequences of business ties may have on job stress when boundary-spanners handle a wide range of products/services that are technically complex. Accordingly, this study recommends small and medium-size enterprise managers and owners should be cautious in resource allocation to establish informal, personal ties with suppliers, competitors, customers and other market collaborators.

This paper offers a deeper perspective of the relations of customer prioritization and product complexity to job stress and customer service performance. This study also specifies business ties as a personal coping resource, which decreases the undesirable consequences when used in small and medium enterprises that adopt customer-centric strategies.

Analyses the operational implications of marketing strategies that try to distinguish between high‐ and low‐priority customers. For a high‐priority customer, the distributor is willing to expedite an order from any emergency source. For a low‐priority customer, on the other hand, distributors will back‐order demand. Bases results on a normative model of dealer behaviour developed by the authors. The distributors are assumed to follow a periodic‐review, stochastic‐demand (s, S) inventory control policy. The principal constraint is a minimum level of service (fill rate) which reflects the objectives of the manufacturer. Bases the analysis on a complete experimental design where a distinction is made between exogenous (replenishment lead time and expedite cost) and endogenous (achieved service level and customer prioritization) variables. In addition, identifies small and large distributors as a function of the demand parameters. Results highlight policy options available to the manufacturer to increase the service level of the system, and these are dependent on the size and competitiveness of the market.

The purpose of this paper is twofold: to incorporate the symbolic relationships among the attributes of customer requirements (CRs) and engineering characteristics (ECs) as well as to factor in the values numerically to enhance the prioritization process for an improved, comprehensive quality function deployment (QFD) analysis. The aim is to develop the concept of assimilating and factoring in the often-ignored interrelationships among CRs and ECs utilizing the weighted average method for the CR and EC correlations with overall calculations.

After a brief literature review of the methods utilized, the research paper discusses the framework for the correlation triangle challenge and introduces a novel mathematical solution utilizing triangle values in conjunction with computed initial raw weights for CRs and initial priority scores for ECs. The capability and applicability of the proposed model are demonstrated with a real-life example.

Through the proposed technique, the roof and the interrelationship triangle's signs and symbols are translated into numerical values for each permutation of ECs and CRs, and then the prioritization values are processed and finalized. The proposed model successfully modifies and removes vagueness from an otherwise overlooked part of the QFD process.

The illustrated case study aptly proves that the proposed methodology yields more revealing and informative outcomes for engineers and designers, thus adding much-needed reliability to the outcome and its analysis. The validation conducted through the rank comparison endorses the premise, and the results obtained reflect the strength and accuracy of the progressive QFD as a product planning tool.

The research article proposes a fresh and unique QFD approach that solves typical procedural complications encountered in a regular QFD. Whereas the traditional methods neglect the interrelationships among CRs and ECs, this new methodology employs them in an improved, numerical way by incorporating them in quantitative analysis, which leads to judicious and improved decision-making.

The purpose of this paper is to extend the discussion about customer portfolios beyond simple identification of models and how they can be used for balanced resource allocation to a discussion about how portfolios should take into account views from relationship partners and how they should be aligned in internal as well as a relational context.

The portfolio literature is reviewed (most recent, seminal, IMP related) and considered in the context of both the sales organization and the customers involved in the portfolio. A conceptual framework is introduced that helps improve the understanding of how customer portfolio models can actually be applied from a relational perspective.

The key aspects of the conceptual framework relate to how alignment of the relationships in the portfolio is achieved. Critical to this are the interaction spaces that facilitate communication relating to alignment and provide the context for the legitimacy of these actions to be discussed.

This framework needs to be empirically explored.

Understanding of alignment and misalignment processes in customer portfolios gives managers a tool to help to cope with the dynamic aspects of the customer portfolio. Recognition of the importance of communication to the process, the development of trust and the role of legitimacy also provides areas that managers can focus upon in their relationship management processes.

This conceptualization moves the consideration of relationship/customer portfolios beyond simply that of a resource allocation tool into a process that facilitates the use of the portfolio in relational processes and thus aids their understanding of how portfolios can be usefully applied.

Exporting is a popular foreign market entry mode, especially among small- and medium-sized enterprises (SMEs). The success of SME exporters depends on their ability to establish and maintain profitable long-term relationships with foreign customers. This study aims to propose that the development of an effective export sales strategy can contribute greatly toward this aim. The study also demonstrates that export market intelligence generation and export market intelligence dissemination activities are important drivers of export sales strategy. Export sales strategy comprises three dimensions, which are expected to have a positive influence on export performance.

The study uses survey data obtained from 168 exporting firms based in Greece, to test a set of research hypotheses. Structural equation modeling procedures are used.

Findings indicate that export market intelligence generation and dissemination activities support and facilitate the development of effective export sales strategies, tailored to serve individual foreign accounts. Furthermore, all strategic dimensions of export sales strategy demonstrate significant positive effects on export performance.

The research underlines the importance of incorporating export sales strategy in studies that aim to investigate the drivers of export performance.

The findings also indicate that exporting firms must actively engage in market intelligence activities to reinforce their strategic decision-making process.

The study emphasizes the crucial importance of export sales strategy in achieving superior export performance. The study provides a theory-driven conceptualization and operationalization of export sales strategy and offers an empirical assessment of a comprehensive model that includes the key antecedents and performance outcomes of export sales strategy.

Small retail stores in the luxury market face significant challenges due to fluctuations in market demand. This task turns challenging as it requires effectively coordinating and translating customer needs into specific requirements that align with retail goals and available resources. However, limited empirical research exists investigating how managers can address service value and quality attributes in small retail stores. This article aims to bridge this gap by investigating the role of quality function deployment (QFD) in improving market and quality requirements management in small retail stores.

Based on the case study, a customer survey was initially conducted to gather information on critical characteristics valued in the luxury retail segment. QFD was used to assist the company in identifying and prioritizing key quality attributes to meet customer requirements effectively.

The findings demonstrate that implementing QFD in small luxury retail stores empowers managers to identify previously neglected product and service quality aspects. The article shows that QFD informs organizational adaptations that align with the demands of the retail market, leading to an improved ability to meet customer expectations and enhance customer value through the development of enhanced products and services. The study showcases the efficacy of the tested methodology in effectively capturing and prioritizing both tangible and intangible customer needs in retail.

Findings offer valuable insights to retail managers of small luxury stores, providing actionable market-oriented strategies. By implementing the recommended practices, managers can improve the store’s competitiveness and better cater to the customer base.

This study contributes to bridging persistent knowledge gaps by addressing the unique context of small luxury retail stores and introducing the application of QFD in this setting. The insights gained from this research are relevant to both retailing and quality management literature. Considering the growing prevalence of transformations in the retail industry, the study provides practical implications for retail managers in effectively navigating these changes.

The purpose of this paper is to develop a framework that describes and explains how corporate social responsibility (CSR) initiatives are perceived by customers and links customer perception to the notion of customer value perception. To explore customer value conception firstly, the perception of CSR initiatives is investigated; secondly, indications for the value-enhancing effects of CSR initiatives are studied, and finally, the varying effects which different value categories can have on customer attitudes and behaviour are extracted.

The data consists of 12 semi-structured interviews with customers of European telecommunication companies.

The results suggest that CSR initiatives, when communicated efficiently and considered as relevant by customers, will enhance two customer value categories: the extrinsic self-oriented value defined as efficiency and excellence and the intrinsic other-oriented value pertaining to ethics or spirituality. Enhancement of extrinsic self-oriented value imbeds the potential of CSR initiatives to affect customers’ purchase behaviour and thus strengthen ethical consumerism within the telecommunications industry.

The main implication for research is a better understanding of the relationship between customer perception and customer value perception in the field of ethical consumerism. Focussing on one industry for the study can be named as a limitation.

As indicated by the research, results by customers prioritised CSR initiative can affect the customer value perception, mainly the extrinsic/self-oriented value. If the company is aiming to change customer behaviour and to strengthen ethical consumerism, it is important that the customer experience of CSR initiatives improve excellence (quality) and/or efficiency of the product/service.

This paper fulfils an identified need of research on how CSR initiatives can influence consumer behaviour.

The purpose of this paper is to propose the application of artificial neural networks (ANN) to predict overall bank customer satisfaction and to prioritize influencing factors on customer satisfaction.

Data are collected from 436 randomly selected customers at ten different branches of an Iranian bank using a questionnaire consisting of 51 questions. An exploratory factor analysis (EFA) is done on the collected data to determine those factors that influence customer satisfaction. A multilayer perceptron ANN model is developed using the factor scores from the EFA. The ANN model is trained and validated to predict overall bank customer satisfaction. In addition, a linear regression model is developed to predict customer satisfaction. Prediction accuracy of the ANN model is compared with that of the linear regression model. The developed ANN is then used to compare sensitivity of customer satisfaction to each influencing factor.

Nine different influencing factors are extracted by EFA. The factors include Fees and Loans, Prompt Service, Appearance, Technological Service, Responsiveness, Reliability and Trustworthiness, Employees’ Attitudes and Behaviors, Accessibility to Bank and Availability of Service, and Interest Rates. Training and validation results show that the ANN model has 73 percent higher accuracy compared to the linear regression model in predicting overall bank customer satisfaction. Factor prioritization results show that Fees and Loans, Appearance, and Prompt Service have the highest impact on customer satisfaction, respectively; interest rate and accessibility to bank and availability of service are the least dominant factors influencing overall bank customer satisfaction.

This study proposes a more reliable and accurate methodology to predict customer satisfaction when compared with regression-based methods. ANN can also be utilized by bank management systems to prioritize different influencing factors that affect the satisfaction level of bank customers.

This paper advances the knowledge on bank customer satisfaction by proposing application of artificial intelligence methods. A case study is discussed and results of the application of an ANN are compared with those of a commonly used statistical regression model.

Recognizing the fundamental role of quality as a means to differentiate service organizations, the purpose of this paper is to propose a strategic decision making framework for service organizations, which prioritizes performance improvement strategies that are rooted to customer requirements, organizational goals and constrained by organizational resources.

The proposed framework is realized through the implementation of two stages and four distinct phases mirroring the combination of enhanced quality function deployment (first stage), and zero-one goal programming (second stage). It proposes the utilization of a mix of qualitative and quantitative methods, and the collection of data from multiple sources including customers, middle, and top management.

The application and validation of the proposed framework utilizes information from both customers and employees in the bank services sector. Overall, results from the specific study revealed that a combination of “reengineering” and “expansion” strategies was more appropriate corresponding to customer priorities, organizational goals and effective utilization of available resources.

The paper presents a novel two stage strategic framework for service organizations. It utilizes a balanced mixture of qualitative and quantitative methods in an effort to capture and delineate elusive customer requirements and design characteristics of services, allowing the assessment of different combinations of quality improvement strategies in response to management objectives.

This paper aims to explore the role of leadership in influencing the strategy implementation behaviors of salespeople. This paper also seeks to examine the moderating influence of competitive environment on the leadership style – salesperson implementation of sales strategy relationship.

Data were collected from a sample of 190 business-to-business salespeople in different industries. The study’s hypotheses were tested using partial least squares (PLS).

The results of the study show that a transformational leadership style has stronger effects on the sales strategy implementation behaviors of salespeople when compared to transactional leadership. However, in highly competitive environments, the effects of transactional leadership on the sales strategy implementation behaviors of salespeople become stronger. The results also show when salespeople implement sales strategy, it has a positive impact on their sales performance.

Sales managers should adapt their leadership style depending on the competitive environment that operate in. As transformational leadership and transactional leadership are not mutually exclusive, managers should tailor their use of these styles to improve the strategy implementation behaviors of their salespeople. Managers should also train their salespeople on the use of sales strategy.

This study contributes to the literature by showing that the effectiveness of a particular leadership style is often contingent on the external environment. This research also demonstrates that when salespeople are strategic in their approach to selling, they will improve their sales performance.