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The purpose of this paper is to promote and analytically verify an advanced assessment design to evaluate service quality (SQ) especially in postgraduate higher education.

This research adopts a quantitative approach through a survey method. A structured questionnaire was designed as a means for collecting data. Data were collected from 182 postgraduate students in an Egyptian higher education university. Data were examined by exploratory factor analysis to pinpoint the main irregularities explained by the extracted factors. Then, confirmatory factor analysis was carried out to filter the ratios and empirically test the assessment efficiency of the developed model.

The final model consists of 33 items loaded into eight dimensions for measuring performance-based SQ of the postgraduate higher education. The results are satisfactory in terms of unidimensionality, trustworthiness, and validity tests.

Although the empirical results are significant, a comparative study can identify relative strengths and weaknesses of this model.

For improving postgraduate higher education institutions’ quality, this paper highlights some dimensions and attributes that should be considered.

The literature proposes that there is an opportunity to handle SQ from the point of view of postgraduate students covering different contexts to further build a more comprehensive structure specifically for postgraduate higher education SQ. This paper deals with this research gap with analytical confirmation within the context of postgraduate programs in an Egyptian university.

The scope of this study is to explore and summarize the pool of dimensions, models and measurement techniques of service quality used in healthcare services and to propose a comprehensive conceptual model for practitioners and researchers.

This research employs a comprehensive review of available literature by using multiple keywords on different electronic repositories using the recommendations of the PRISMA approach for the selection of articles. A critical analysis of available studies helped in compiling a list of core service quality dimensions in healthcare services.

This paper presents a comprehensive account of different dimensions and their measurement items used by various researchers to assess service quality in healthcare systems. Most of the researchers have used SERVQUAL model either in its original or modified form while the others have proposed and used totally different dimensions to assess the service quality in healthcare. Many dimensions are just an existing dimension of SERVQUAL that has undergone a name change while others are completely new. The dimensions used by many researchers have items drawn from more than one dimension of SERVQUAL model. The availability of so many dimensions and models adds to the confusion that researchers and practicing managers experience when determining the appropriate model to be used in their work. To mitigate this confusion, there is a need to develop a comprehensive model; the current work is an attempt to meet this need. Through our analysis, we identify four major service quality dimensions: clinical quality, infrastructural quality, relationship and managerial quality and propose a model named CIRMQUAL.

After exploring all available models in the domain of healthcare, this research presents the best possible areas to enhance the quality of healthcare services. It also enhances the research insights for academicians and working professionals by developing and proposing a comprehensive model for measuring healthcare service quality. The proposed model covers almost all of the service quality dimensions used by other researchers and will make the choice of dimensions/model easy for the future researchers/practitioners interested in measuring and improving the quality of services offered by their healthcare units. Such a comprehensive model has not been developed by any researcher thus far.

Since the publication of Venkatraman and Grant's (1986) article two decades ago, considerably more attention has been directed at establishing the validity of constructs in the strategy literature. However, recent developments in measurement theory indicate that strategy researchers need to pay additional attention to whether their constructs should be modeled as having formative or reflective indicators. Therefore, the purpose of this chapter is to highlight the differences between formative and reflective indicator measurement models, and discuss the potential role of formative measurement models in strategy research. First, we systematically review the literature on construct measurement model specification. Second, we assess the extent of measurement model misspecification in the recent strategy literature. Our assessment of 257 constructs in the contemporary strategy literature suggests that many important strategy constructs are more appropriately modeled as having formative indicators than as having reflective indicators. Based on this review, we identify some common errors leading to measurement model misspecification in the strategy domain. Finally, we discuss some implications of our analyses for scholars in the strategic management field.

The purpose of this paper is to review existing smart manufacturing (SM) maturity models' dimensions and maturity levels to assess their applicability and drawbacks. There are many maturity models available but many of them have not been validated or do not provide a useful guide or tool for applications. This gap creates the need for a review of the existing maturity model's applicability.

Nineteen peer-reviewed maturity models related to “Digital Transformation,” “Industry 4.0” or “Smart Manufacturing” were selected based on a systematic literature review and five consulting firm models were selected based on the author's industry knowledge. The chosen models were analyzed to determine 10 categories of dimensions. Then they are assessed on a 1–5 scale for how applicable they are in the 10 categories of dimensions.

The five “consulting firm” models have a first-mover advantage, are more widely used in industry and are more applicable, but some require payment, and they lack published details and validation. The 19 “peer reviewed” models are not as widely used, lack awareness in the industry and are not as easy to apply because of no web tool for self-assessment, but they are improving. The categories defined to characterize the models and facilitate comparisons for users include “Information Technology (IT) and Cyber-Physical System (CPS) and Data,” “Strategy and Organization,” “Supply Chain and Logistics,” “Products and Services,” “Culture and Employees,” “Technology and Capabilities,” “Customer and Market,” “Cybersecurity and Risk,” “Leadership and Management” and “Governance and Compliance.” The analyzed maturity models were particularly weak in the areas of cybersecurity, leadership and governance.

Researchers and practitioners can use this review with consideration of their specific needs to determine if a maturity model is applicable or if a new model needs to be developed. The review can also aid in the development of maturity models through the discussion of each of the dimension categories.

Compared to existing reviews of SM maturity models, this research determines comprehensive dimension categories and focuses on applicability and drawbacks.

The purpose of this paper is to review the historical development of the models/dimensions of public relations. The extensive criticism of the models and dimensions is provided to better understand the strengths and weaknesses of the concept.

The paper is based on a critical literature review to understand the roots of the models, their empirical tests, the modifications applied to the models over time, and finally the proposed shift from models to dimensions of public relations.

The study concludes that the attempt to translate the public relations models into the dimensions failed because of a variety of conceptual and methodological flaws. Yet, the idea of developing dimensions of public relations is a viable and practical step in advancing public relations research; however, such dimensions must be continuous, dichotomous and measurable.

Models of public relations first became a dominant theoretical perspective in public relations only to virtually disappear from the research agenda later. This paper calls the attention back to the models/dimensions to revive the research in this area.

This paper aims to develop five public relations scales as a substitutions for models/dimensions that were subject to much criticism. Based on this conceptual re‐evaluation of the excellence study, one of the dominant public relations paradigms, the manuscript proposes a measurement approach for the public relations practice.

This is a conceptual paper based on a critical literature review aimed at understanding the errors in the public relations models conceptualization and their empirical tests. Based on this review, new and improved scales of public relations are proposed.

The study developed five scales of public relations as substitutions for models/dimensions. The study proposed a measurement approach for the public relations practice. Finally, the study concluded that further research advancing the excellence scholarship is essential to better understanding the profession of public relations.

This manuscript creates a measurement approach which public relations practitioners can use to plan, monitor, and evaluate public relations campaigns and ongoing programs, as well as to manage knowledge and expertise of public relations practitioners and departments, and the expectations of the dominant coalition toward the public relations unit.

This re‐conceptualization can finally address the criticism of the earlier models and dimensions of public relations, establish a measurement approach for the practice of public relations, as well as provide a tool that can be used by both academic and practitioners in planning, monitoring, evaluating, and managing public relations.

The purpose of this paper is to provide a theoretical and empirical comparison of four major national cultural value models for perceived corporate reputation (CR) of multinational corporations (MNCs) across nations: Hofstede, Schwartz, the GLOBE study and Inglehart.

Two consumer surveys on an MNC and on competitors in 25 countries in the year 2015 (n=20,288 and 25,397) were used for the first time to compare the roles of the cultural value models as antecedents of CR, using multilevel structural equation modeling (MSEM), which disentangles the explained variances on the country level and on the individual level.

National culture is strongly attributed to individual CR perceptions of MNCs across nations. However, the four conceptual cultural value models explain the variance differently (46.2–84.6 percent) as do particular cultural value dimensions within each model. The results are stable for both surveys.

Novel insights into the roles of cultural value models are provided for international business research. For MNCs aiming to use their CR to attract target groups in foreign countries, this study identifies the most influential cultural value model and particular dimensions.

This study contributes to cultural research by deepening the understanding of the various cultural value models and their importance for MNCs. Moreover, the authors add to the CR research by providing new insights into perception differences and using the still novel MSEM.

This research aims to examine the applicability of the Retail Service Quality Scale (RSQS) in retail stores in Kazakhstan, a country of the Commonwealth of Independent States (CIS) that is in the transition stage from a controlled economy to a market economy. This research also attempts to identify the dimensions and sub‐dimensions that contribute to increasing the customer base.

A sample of 220 shoppers from department stores, discount stores, and supermarkets in Almaty city, Kazakhstan, was surveyed to examine the validity and reliability of the five dimensions (physical aspects, reliability, personal interaction, problem solving, and policy) and six sub‐dimensions (appearance, convenience, promises, doing‐it‐right, inspiring confidence and courteousness/helpfulness) of RSQS. The findings are cross‐validated hierarchically using confirmatory factor analysis (CFA). Step‐wise regression methods are used to identify the dimensions and sub‐dimensions contributing to increasing the customer base.

The research finds that the RSQS structure is a good fit in the Kazakhstan retail setting. The five dimensions and six sub‐dimensions together provide significant usefulness in measuring the quality of retail services. The research also finds that while all the dimensions and sub‐dimensions have a positive relationship, two dimensions (personal interaction, physical aspects) and one sub‐dimension (inspiring confidence) are strongly related to increasing the customer base through return customers and word of mouth from satisfied customers.

The present study does not distinguish applicability of the RSQS in the different formats of the retail store. Future research should examine the impact of the different retail formats in using the scale for measuring retail service quality.

Prospective and existing retail service providers who place a high priority on quality can use this instrument to track the high growth potential of the retail sector in CIS countries. It will help to measure their services and increase their customer base by targeting the appropriate dimensions and sub‐dimensions.

The authors believe that this research reveals new insights about the retail sector in the context of CIS countries. This research also has managerial and research implications for designing and formulating operations strategy in providing retail services for new markets.

The purpose of this paper is to extract and validate the dimensions of service quality in retail banking services in India by adopting an integrated and hierarchical perspective of service quality determinants.

The paper empirically validates a parsimonious (multi-dimensional and multi-level) model of service quality in retail banking services in India. The analysis was conducted using structural equation modeling. A hypothesized second-order model was tested and compared with a first-order model of service quality. The dimensions were extracted through exploratory factor analysis and validated through confirmatory factor analysis.

The second-order service quality model was accepted based on parsimony as it consisted of five primary dimensions: Service delivery (describing the efficiency with which the service is provided), tangibles (the quality of physical service environment), reliability (the promise of right service being provided), core service (the attributes and features of the service product) and competence (the capability of employees and systems for providing the service). The second-order model enhances the understanding of the structure of service quality for retail banking services in India. The most important dimension was tangibles, especially the physical environment which facilitates efficient delivery of service.

The research provides support for a multi-dimensional second-order model of service quality in retail banking service in India. The results show that customers form perceptions of overall service quality which are reflected by five primary dimensions. The primary dimension of tangibles is the most influential.

Organizations need to measure and manage overall service quality perceptions to build trust and reinforce loyalty intentions among their customers. Banks need to adopt a multi-level approach to managing service quality perceptions, i.e. both at the dimensional level and organizational level.

This study would contribute to the enhancement of service quality outcomes in retail banking services in India which has a crucial role in the economic development.

The study proposes and validates a parsimonious and hierarchical model of service quality in the context of retail banking in Indian cultural context. Thus this research provides support to existing knowledge of service quality measurement and management and extends the understanding of its structure by validating the multi-level model in an emerging market context.

This research seeks to extend the work of Dabholkar et al. into the e‐retail domain to assess alternate theoretical frameworks of e‐service quality. Particular focus is placed on e‐service quality and whether elements of e‐service quality should be viewed by dimensions, as antecedents to a global evaluation of e‐service quality, or as a formative configuration to predict behavioral intentions. The mediating role of customer satisfaction is also to be explored in these frameworks.

This paper is premised on an empirical study using cross‐sectional data from actual consumers. Data from a survey of 518 online consumers were used to test the research models through the use of a structured equation modeling (SEM) tool.

The results show support for all three theoretical models, and slightly stronger support for the formative model. Customer satisfaction was also found to play a mediating role on behavioral intentions within these e‐service quality models.

The research is limited to a single e‐retail product category of sport and leisure. The generalizibility of these findings is therefore limited. Further work in other sectors and over longer periods would establish the reliability of the findings. The paper also highlights some limitations in the e‐service quality literature, particularly the emphasis on the use of reflective indicators over formative approaches in the modeling of e‐service quality.

Multiple configurations of e‐service quality exist in the literature, as well as variations on how it is actually measured. The authors provide specific recommendations to improve future research (and practice) involving e‐service quality conceptualization and measurement.

The paper examines three alternate configurations of e‐service quality's antecedents, consequences and mediators. The authors provide a platform for further research to improve the conceptualization and measurement of e‐service quality and its effects.