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This study aims to propose a framework for identifying and measuring the gaps between evaluation and goal setting in service supply chain (SSC) processes towards planning and development of sustainable tourism aligned with the firm's real conditions and capabilities.

By the concept of the service quality gap model, the existing gaps between auditors' evaluation and the managers' goals in SSC processes maturity were examined. Then, each of the designed gaps was measured considering the goals addressed by managers’ and auditors' evaluation. Finally, the strategy and priority of sustainable tourism planning and development were determined based on importance–performance analysis (IPA).

The gaps caused by the expectations and perceptions of the firm about the dissatisfaction of managers regarding their addressed goals and the evaluation of auditors in the planning and development of sustainable tourism can be classified into three categories of goals gap, assessment gap and main gap. To improve the performance of the firm in each of the evaluation criteria under the results of IPA analysis, solutions were provided.

Realistic evaluation and recognition of the capabilities of the organization's processes through the proposed framework can be effective in goal setting and sustainable tourism development policies.

The framework proposed in this study can be a suitable approach for the balanced growth of all aspects of the firm in planning and developing sustainable tourism and helps firms in setting the right and logical goals.

The aim of this study is to develop a framework for measuring of service supply chain (SSC) maturity process.

The main framework of the SSC maturity was developed by reviewing the concepts and models of SSC, business excellence, maturity and supply chain performance evaluation. Then, the maturity level of each excellence criterion was defined in the proposed model by using the excellence criteria for SSC and the concept of Plan, Do, Check and Act (PDCA) cycle in combination with the process survey tools maturity model. Based on the excellence criteria and their maturity levels, a questionnaire was designed to practically measure the proposed framework.

The concepts and features of maturity levels defined for each of the excellence criteria were used to implement and operationalize the proposed framework and evaluate the SSC processes.

Through the assessment of the existing status of SSC processes, the findings allow managers to reach a better understanding of the strengths and weaknesses of such processes. Then, some opportunities are provided for improving each excellence criterion to enhance the performance of each process.

In fact, this study provides guidelines for organizations to measure their progress and performance and improve their management systems. The main advantages of the proposed SSC measurement framework include self-assessment facilitation, calculation of criteria scores and development of uses. The proposed model, like quality and productivity awards, can pave the way for increased competitiveness of the service industry.

The purpose of this paper is to examine how total quality management (TQM) and corporate social responsibility (CSR) affect entrepreneurial orientation (EO) in the context of the hotel industry.

Drawing from the hospitality literature, the relationships among TQM, CSR and EO were hypothesized and tested. Based on the valid responses collected from a survey questionnaire, structural equation modeling approach was used to examine the research model.

The results indicate that TQM positively affects CSR. Furthermore, CSR was a significant antecedent of EO.

The combination of a developing country context and the significance of TQM, CSR and EO in hotel industry enhance the contextual contribution of the paper.

The application of automated systems is rapidly increasing in different industries and organizations. In this regard, computerized maintenance management systems (CMMS) using information technology play an important role in the automating production systems. The purpose of this paper is to investigate the impacts of CMMSs and relevant supportive organizational factors on the effectiveness of total productive maintenance.

This study is classified as a quantitative survey-based research using structural equation modeling. The scope of the study includes manufacturing companies in Iran. A total of 125 questionnaires from 60 companies were collected from January to March 2014 to help validate the conceptual model and test the hypotheses.

The results support the concept CMMSs positively relates to relevant supportive organizational factors (resource allocation, decision-making structure, senior management support, employees’ involvement and effective instruction) on the effectiveness of total productive maintenance. The relevant supportive organizational factors can also be seen as the predictors of CMMSs.

This study integrates the CMMSs and relevant supportive organizational factors in a robust model to examine the effectiveness of total productive maintenance. This study also examines the impacts of CMMSs and relevant supportive organizational factors on total productive maintenance which seems to not be done previously.

The purpose of this study was to identify the excellence criteria of services supply chain (SSC) in Iran and the relationship between them and the importance of each criterion.

In this paper, after reviewing the principles and evaluating models of SSCs, using the fuzzy Delphi method, the criteria for excellence in the supply chain processes were identified. Then, the relationships between these criteria and their significance were evaluated using decision-making trial and evaluation laboratory (DEMATEL) and DEMATEL-based analytic network process methods.

The results show that 19 evaluation criteria have been identified in Iran in accordance with the SSC process. These criteria were classified according to their nature and based on the Deming Excellence Model and ISO 9004 standards in four areas: Plan, Do, Check and Act. In addition, the Act dimension with the weight of 0.275 has the highest importance and the Plan dimension with the weight of 0.219 has the lowest importance.

This study attempted to identify appropriate criteria for SSC processes in management consulting firms by examining supply chain assessment models to provide the managers with the right understanding of this industry for performance assessment so that they have a better knowledge of supply chain processes.

The results will be useful for managers to understand the SSC and the ways of SSC excellence in a service organization. This research is a first step for evaluating SSC performance of management consultancy institutes. In fact, after the identification of SSC processes and evaluation criteria, designing a mechanism for the evaluation of the performance of SSCs can be a subject for future research.

This study seeks to provide a conceptual framework for the classification and selection of Healthcare 4.0 (H4.0) digital technologies affecting healthcare processes.

By examining the literature review, a set of processes of health services based on two axes of interaction and service customization and the axis of labor intensity of the service process matrix was divided into four categories: service factory, mass service, service shop and professional services. Then, using a combination of grey decision-making trial and evaluation laboratory (DEMATEL) and grey weighted aggregates sum product assessment (WASPAS) methods, a framework was presented to compute the impact of each of the H4.0 digital technologies on sub-criteria of the two main axes. Finally, based on the degree of the impact of each technology on the main axes, the technology affecting the four processes was segmented.

Findings show that the customer participation in the service process (C₁), ways to provide customer service (C₆) as well as the speed of service delivery (L₄) are the most important in the classification of digital technologies affecting healthcare processes.

Various other indicators from the behavioral, cultural, political, social and economic fields can be examined and used as a basis for evaluating H4.0 digital technologies.

The proposed framework can help managers select H4.0 digital technologies to prioritize, review and analyze appropriate technologies to improve and support different processes, prioritize appropriate technologies and review and analyze.

So far, no study has examined the link between digital technologies and various service processes. Therefore, this reinforces the originality and value of the present study.

The importance of a lean health-care supply chain is increasingly discussed. However, it is still not very clear how lean practices relate to resilience capabilities, as there are synergies and divergences between them. This study aims at identifying the relationship between lean practices and resilience capabilities in the health-care supply chain.

This study conducted a scoping review based on five databases, which allowed the content analysis of 44 articles. Such analysis allowed the verification of trends and volume of studies on this topic. Further, the descriptive numerical and thematic analyses enabled the proposition of a conceptual framework, relating the adoption of lean practices to the development of resilience capabilities according to the tiers of the health-care supply chain in different value streams.

Three research directions were derived from this scoping review: empirical validation of the contribution of lean practices to resilience capabilities in the health-care supply chain; systemic implementation of lean practices across tier levels of the health-care supply chain; and complementary approaches to lean implementation toward a more resilient health-care supply chain.

The understanding of these relationships provides health-care managers arguments to prioritize the application of lean practices to improve desired resilience capabilities in the entire health-care supply chain.

To the best of the authors’ knowledge, there is no similar study in the literature.

This study aims to identify the drivers of human resource empowerment in understanding the new concept of Quality 4.0 in the digital era.

First, the literature of quality management evolution in the fourth industrial revolution (Industry 4.0) and the position of the required workforce in Quality 4.0 were reviewed and then by using the opinions of experts and managers of Knowledge-Intensive Business Services (KIBS) firms, a set of driver effects on the readiness and ability of human resources was identified in the context of Quality 4.0. After identifying the drivers, cause-and-effect relationships among these drivers were investigated using the Grey DEMATEL technique.

A total of 29 Quality 4.0 drivers of readiness and workforce ability were identified, based on multiple interactions of quality management in different stages of the production cycle. They were divided into new valuation approaches, composite dimensions, team creativity and thorough inspection. “Technical abilities and capability to solve problems” was identified as the most significant driver.

Findings help KIBS firms to take necessary measures and plans. Consequently, they can increase the readiness and ability of human resources based on the changes in managing Quality 4.0. Also, considering the importance of each driver, they will be able to take a step towards total quality improvement.

Despite extensive research on the subject of the fourth Industrial Revolution, research on the human aspects required for managing Quality 4.0 is limited. This study was performed to examine the cause-and-effect relationships between human resource drivers to adapt to the changes in Quality 4.0.

The aim of this study is to develop a 3D model of decision- making grid (DMG) considering failure detection rate.

In a comparison between DMG and failure modes and effects analysis (FMEA), severity has been assumed as time to repair and occurrence as the frequency of failure. Detection rate has been added as the third dimension of DMG. Nine months data of 21 equipment of casting unit of Mobarakeh Steel Company (MSC) has been analyzed. Then, appropriate condition monitoring (CM) techniques and maintenance tactics have been suggested. While in 2D DMG, CM is used when downtime is high and frequency is low; its application has been developed for other maintenance tactics in a 3D DMG.

Findings indicate that the results obtained from the developed DMG are different from conventional grid results, and it is more capable in suggesting maintenance tactics according to the operating conditions of equipment.

In failure detection, the influence of CM techniques is different. In this paper, CM techniques have been suggested based on their maximum influence on failure detection.

In conventional DMG, failure detection rate is not included. The developed 3D DMG provides this advantage by considering a new axis of detection rate in addition to mean time to repair (MTTR) and failure frequency, and it enhances maintenance decision-making by simultaneous selection of suitable maintenance tactics and condition-monitoring techniques.

The major aim of this investigation is to propose a novel approach for evaluating the implementation of the European Quality Award, i.e. the model of European Foundation for Quality Management (EFQM).

The EFQM model includes both enablers and results, while in the service quality gaps model, only the gaps between the organization and customer are studied. In this paper, a new approach has been proposed to assess seven determined gaps in implementing the EFQM model based on the concepts of the service quality gaps model and the ServQual approach. The new approach to the EFQMQual has been examined in Isfahan Province Gas Company using different viewpoints of senior and middle managers and senior experts on four elements of determined gaps. These include perceptions of goals, expectations of goals, perceptions of assessment and expectations of assessment.

Findings indicate that leadership and key results criteria have the lowest and the highest gap values, respectively. In addition, the fifth gap, i.e. the difference between expectations of assessment and perceptions of assessment, has the lowest average, while the seventh gap, i.e. elements of the EFQM model, has the highest average. With regard to the correlation among the seven gaps, it became obvious that there is a significant correlation among the first, fifth and sixth gaps; and also between the fourth and fifth gaps. Finally, based on the Pareto rule, the priority of the criteria related to each of the gaps has also been determined.

One of the limitations of this study is the complexity of the concepts in the questionnaires, which makes it difficult for respondents to understand the items of the questionnaires. To overcome this, therefore, the researcher has attached a guideline to the distributed questionnaires.

As the literature review indicates, there has not been any research on integrating the concepts of the service quality gaps model, the ServQual approach, and the EFQM model, while also analyzing the weak and strong results obtained from implementing the EFQM model based on such an integrated approach. The significance of the study lies further in the fact that based on an approach similar to the proposed EFQMQual, such concepts can be applied for evaluating the implementation of other quality award systems.