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The purpose of this study is to propose a new consumer value segmentation method for low-dimensional dense market datasets to quickly detect and cluster the most profitable customers for the enterprises.

In this study, the comprehensive segmentation bases (CSB) with richer meanings were obtained by introducing the weighted recency-frequency-monetary (RFM) model into the common segmentation bases (SB). Further, a new market segmentation method, the CSB-MBK algorithm was proposed by integrating the CSB model and the mini-batch k-means (MBK) clustering algorithm.

The results show that our proposed CSB model can reflect consumers' contributions to a market, as well as improve the clustering performance. Moreover, the proposed CSB-MBK algorithm is demonstrably superior to the SB-MBK, CSB-KMA and CSB-Chameleon algorithms with respect to the Silhouette Coefficient (SC), the Calinski-Harabasz (CH) Index , the average running time and superior to the SB-MBK, RFM-MBK and WRFM-MBK algorithms in terms of the inter-market value and characteristic differentiation.

This paper provides a tool for decision-makers and marketers to segment a market quickly, which can help them grasp consumers' activity, loyalty, purchasing power and other characteristics in a target market timely and achieve the precision marketing.

This study is the first to introduce the CSB-MBK algorithm for identifying valuable customers through the comprehensive consideration of the clustering quality, consumer value and segmentation speed. Moreover, the CSB-MBK algorithm can be considered for applications in other markets.

Previously, a questionnaire survey was conducted and it was found that some management practices were more influential to service quality than others. The purpose of this paper is to identify in more detail the reasons behind the survey findings.

Eighteen in‐depth interviews into a range of management practices which support service quality were conducted.

It was found that there were difficulties in implementing some of the management practices due to the type of staff employed and to the nature of tasks undertaken.

As the purpose of this research is to facilitate interpretation of the quantitative data, the investigation did not go in detail beyond mass and technological services. Hence, individual organisational characteristics, individual circumstances, or details of the service offered to customers are not considered beyond the category of either mass or technological services.

The paper identifies that the actual contribution from different management practices to service quality varied, and explains the reasons behind the diverse contributions in each type of service business.

This article aims at investigating knowledge transfer and exchange (KTE) between founder firms and corporate foundations (CFs), looking at mechanisms able to enhance CFs’ orientation of effectiveness.

We analyze 50 questionnaires collected through a survey of CFs based in Italy (redemption of 42.7% of the total). We use a number of regressions to verify the change of explained variance moving from a basic model with control variables (enter method) and a model including KTE mechanisms with an impact on orientation to effectiveness (stepwise method).

The analysis produced a model which underlines the influence of knowledge transfer mechanisms in stimulating orientation to effectiveness. The adoption of specific knowledge transfer mechanisms by founder firms can have a significant influence on how CFs manage their effectiveness. Three mechanisms emerge from the study as elements with a positive impact.

The results apply to nonprofit or public bodies, especially if we consider partnerships or organizational networks. The individuated criteria for selecting a positive KTE could drive similar choices of other nonprofit bodies.

The study individuates a set of practices that are potentially able to influence positively the orientation to effectiveness of CFs, and the capacity to perform their activities and respond to social needs more successfully.

This research considers CFs as founder firms’ subsidiaries, with a growing strategic importance. This research reveals how KTE mechanisms can foster the development of orientation to effectiveness if implying interaction, firms’ commitment, autonomy, and alignment with the firms’ strategy and CFs’ purposes.

City logistics is a challenge in many cities. Literature works focus on the analysis of large or local-scale solutions to increase the efficiency of freight transport. However, store deliveries from the perspective of practitioners, particularly retail stores, are still an issue. In this context, the purpose of this paper is to propose a decision framework to assist logistics managers in defining efficient re-shelving solutions for store deliveries, according to the emplacement characteristics, city administration constraints and social issues.

An iterative step-by-step decision framework is developed, which allows taking decisions in a clear and structured way, including the preferences of key stakeholders. Moreover, a “what if” procedure is proposed, aiming to modify some initial conditions of the target store to achieve more efficient solutions.

The proposed decision framework is applicable in practice and helps users (mainly logistics managers) to identify solutions for efficient re-shelving in urban settings.

The decision framework is applied by the logistics manager of two Spanish food retail stores, but it could be used in different logistics sectors and cities/regions, although adapting the decisions taken at each phase.

Logistics managers have a support tool when addressing re-shelving solutions for store deliveries.

A balance can be found between company interests (minimise costs) and citizens quality of life (less contamination, noise, traffic, etc.).

This study simultaneously deals with large- and local-scale decisions faced by logistics managers in their day-to-day activity, considering details about the store location, its surroundings and the company it belongs.

Anchor Chemical (UK) Ltd., Clayton Lane, Clayton, Manchester M11 4SR, has announced the introduction of Rapiblend 1793 to their range of predispersed rubber chemicals.

This chapter presents the outcome of an empirical study titled ‘Knowledge Sharing and Transfer (KST) that Really Works: An exploration of KST in Sub-Saharan South African Public Sector Institutions’. Enablers of KST were explored through the lens of lived experiences of managers working at Gautrain Management Agency (GMA), a rail transport public sector operator in South Africa. Qualitative data were collected from 15 managers and analysed using Thematic and Trans Positional Cognition Approach (TPCA) qualitative analytical tools. Four themes, essential originating antecedent factors, complementary people enabling factors, organisational enabling factors and effective KST implementing factors emerged. Rahman’s KST model was adopted as a theoretical framework and used to better understand the study findings. The current study affirms two elements within the theoretical framework, namely, complementary people enabling factors and organisational enabling factors, while the remaining two, essential originating antecedent factors and effective KST implementing factors, were not affirmed. This study contributes a new KST framework that helps business managers understand KST from the South African public sector practitioners’ perspectives, which represents this study’s contribution to the business performance measurement body of knowledge and practice.

The purpose of this paper is to develop an efficient and effective preventive maintenance (PM) plan that considers machines’ maintenance needs in addition to their reliability factor.

Similarity coefficient method in group technology (GT) philosophy is used. Machines’ reliability factor is considered to develop virtual machine cells based on their need for maintenance according to the type of failures they encounter.

Using similarity coefficient method in GT philosophy for PM planning results in grouping machines based on their common failures and maintenance needs. Using machines' reliability factor makes the plan more efficient since machines will be maintained at the same time intervals and when their maintenance is due. This helps to schedule a standard and efficient maintenance process where maintenance material, tools and labor are scheduled accordingly.

The proposed procedure will assist maintenance managers in developing an efficient and effective PM plans. These maintenance plans provide better inventory management for the maintenance materials and tools needed using the developed virtual machine cells.

This paper presents a new procedure to implement PM using the similarity coefficient method in GT. A new similarity coefficient equation that considers machines reliability is developed. Also a clustering algorithm that calculates the similarity between machine groups and form virtual machine cells is developed. A numerical example adopted from the literature is solved to demonstrate the proposed heuristic method.

This paper identifies the critical success factors (CSFs) of virtual hotel operator (VHO) in using hotel management system partnerships with small- and medium-sized hotels (SMSHs).

This study uses a qualitative approach, with 25 semi-structured interviews with hotel owners and VHO management. Thematic analysis is used to determine themes to evaluate hotel owners and operators' perceptions.

CSFs for VHO partnership with SMSHs include marketing and promotion strategies, client relationships, training and human resources development, hotel operation management, innovation strategies, capital expenditures and property management systems (PMSs). VHOs also have a symbolic impact on the mutualistic relationship with SMSHs by increasing service and enhancing product competitiveness and profitability.

Findings are beneficial for VHO in determining the most significant CSFs, thereby establishing additional metrics in business performance and increasing resilience in the accommodation sector. Further studies can measure the digital technology factors from VHO, including PMSs and mobile applications.

This study first identifies CSFs for VHO companies from the perspectives of hotel owners and management. This contribution adds to the literature on CSFs in the context of digital technology implementation in SMSHs. Moreover, implications are beneficial for VHO management in determining the most significant CSFs for companies to measure the business performance of the companies and increase resilience in the accommodation sector.