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In pursuit of achieving Education‐For‐All goals of universal primary education and improving quality of education, the Indian Government has been providing substantial resources to Indian states. The responsibility of providing access and quality remains the states' responsibility. Assessment of educational development will therefore become a focal point of the Center for Education Policy & Guidelines Formulation. While educational development indices help in ranking states, they do not help in capturing best practices and assessing the efficient utilization of resources. Assessment of the Educational Development Efficiency can augment educational development indices in vogue. The purpose of this paper is to develop an Educational Development Efficiency (EDE) model to benchmark the Indian states.

This paper uses an input‐process‐output conceptual framework to identify the dimensions of educational development. This paper employs Data Envelopment Analysis (DEA) to compare relative efficiency of 28 states and seven Union territories in India and benchmark them. In order to strengthen the discriminatory power of DEA, cross‐efficiency model was used. Factor analysis was performed to determine the inter‐relationships between variables. The efficiency impacting variables were identified using multiple regression analysis.

This paper benchmarked Indian states on educational development based on their performance. Gross enrolment ratio, students' academic performance and infrastructural investments were identified as the three key variables impacting states' EDE. This paper has shown that the educational administrators can use the EDE model to identify the best practices from efficient states. Insights into utilization of input resources to enhance educational development and consequent improvement of state efficiencies are presented. Four components have been identified to analyze the states' educational development progress – namely, financial adequacy, school resource strength, educational quality and educational access.

Contributions of this paper pertain to evolving a decision support model for national education policy planners, besides providing analytic support to the administrators of the states to benchmark and emulate the efficient educational programs.

This paper is one of the few published studies concerning the evaluation of educational development programs launched in the Indian schools and providing a cross‐comparison of the Indian states for the purposes of performance benchmarking as well as exploring the influencing factors.

The purpose of this paper is to determine the dimensions of service quality in Indian hospitals, from the perspectives of patients and their family members/friends (referred to as “attendants”).

Based on the existing models and the literature on healthcare services, a framework is proposed to conceptualize and measure hospital service quality.

Two instruments for measuring the dimensions of hospital service quality, one each from the perspective of patients and attendants, are proposed.

This framework enables hospital managers to understand how patients and their attendants evaluate the quality of healthcare provided in respect of every dimension. A comparison of perceptions between patients and attendants would aid them to allocate resources to various aspects of healthcare, with respect to these two customer groups. Hospital administrators can use the instruments proposed to obtain feedback on their performance on service quality parameters so that they can benchmark themselves with their competitors.

This paper contributes to research on healthcare services by the development of a comprehensive framework for customer (both patient and attendant)‐perceived healthcare quality.

The purpose of this paper is to develop and validate scales to measure and benchmark service quality (SQ) in tourism industry.

The second‐order confirmatory factor analysis is employed to validate the instrument. SQ dimensions have been modeled which have significant impact on customer satisfaction (CS) separately from those which do not have a significant impact.

Hospitality, food, logistics, security, and value for money have significant impact on satisfaction, while amenities, core‐tourism experience, hygiene, fairness of price, information centers, culture, distractions, personal information, and pubs do not have a significant impact.

The above pattern may be different in a different destination, and in a different context. However, a major implication of the current findings is that a destination need not have natural cutting edges to be developed as a tourist destination. A destination with good logistics and assurance for security, value for money, impressive hospitality and food, can satisfy a customer.

The scale which has been developed by us will be useful for destination managers to measure the SQ perceptions of tourists and benchmark destinations. The distinction of SQ dimensions with and without the impact on CS could enable a manager to manage these two sets of factors separately.

Unlike previous works, SQ has been modeled in tourism as a second‐order factor, which appears to be a more appropriate approach. The authors have also modeled factors with and without significant impact on satisfaction separately, and the approach does not seem to have precedence in literature. The inclusion of the factor, “Fairness of Price” is also a new contribution to literature.

This paper aims to explore the factors affecting cybersecurity implementation in organizations in various countries and develop a cybersecurity framework to improve cybersecurity practices within organizations for cybersecurity risk management through a systematic literature review (SLR) approach.

This SLR adhered to RepOrting Standards for Systematics Evidence Syntheses (ROSES) publication standards and used various research approaches. The study’s article selection process involved using Scopus, one of the most important scientific databases, to review articles published between 2014 and 2023.

This review identified the four main themes: individual factors, organizational factors, technological factors and governmental role. In addition, nine subthemes that relate to these primary topics were established.

This research sheds light on the multifaceted nature of cybersecurity by exploring factors influencing implementation and developing an improvement framework, offering valuable insights for researchers to advance theoretical developments, assisting industry practitioners in tailoring cybersecurity strategies to their needs and providing policymakers with a basis for creating more effective cybersecurity regulations and standards.

The Indian power sector is dominated by coal. Environmental awareness and advances in techno-economic front have led to a slow but steady shift towards greener alternatives. The distributions of both fossil fuel resources and renewable energy potential are not uniform across the states. Paper attempts to answer how the states are performing in the sector and how the renewable energy and conventional resources are affecting the dynamics.

The authors employ a two-stage data envelopment analysis (DEA) to rank the performance of Indian states in the power sector. Multi-stage analysis opens up the DEA black-box through disaggregating power sector in two logical sub-sectors. The performance is evaluated from the point-of-view of policy formulating and implementing agencies. Further, an econometric analysis using seemingly unrelated regression equations (SURE) is conducted to estimate the determinants of total and industrial per-capita electricity consumption.

Efficiency scores obtained from the first phase of analysis happens to be a significant explanatory variable for power consumption. The growth in electricity consumption, which is necessary for economic wellbeing, is positively affected by both renewable and non-renewable sources; but conventional sources have a larger impact on per-capita consumption. Yet, the share of renewables in the energy mix has positive elasticity. Hence, the findings are encouraging, because development in storage technologies, falling costs and policy interventions are poised to give further impetus to renewable sources.

The study is one of the very few where entire spectrum of the Indian power sector is evaluated from efficiency perspective. Further, the second phase analysis gives additional relevant insights on the sector.

This paper explores the effect of perceived service quality, trust, perceived value and perceived cost on patient satisfaction and loyalty as well as exploring the moderating role of the sociodemographic factors.

The data were gathered from 462 patients via a structured questionnaire, while structural equation modeling was utilized for the analysis.

Results indicated that trust, perceived value and patient satisfaction have important roles in shaping the patient loyalty, while patient satisfaction was found to fully mediate the patient’s perceived service quality. Loyalty relationship was also found to partially mediate the trust–loyalty relationship. Nonetheless, the patient’s satisfaction–loyalty relationship was found to be only moderated by the age factor.

Implications are provided to the Egyptian private hospitals in order for them to formulate improvement plans as well as set higher standards of conduct.

This original research is the first one, up to the researcher knowledge, that explores the drivers of patient satisfaction in the private hospitals in Egypt.

The learning outcomes of this case study are to understand the business model canvas and value propositions and apply advanced business innovation tools in electric vehicle business models; evaluate the current cargo vehicle scenarios at national and global levels and draw out the possibilities and costs for a new player; extrapolate the future scenario of the cargo economy, its electrification and positioning in a business-to-business (B2B) and business-to-customer (B2C) segment, especially for a developing economy; and improve the student’s ability to get organisational buy-in and execute new business models.

LoadExx is a fully electrified electric cargo service focusing on logistics in Kolkata, a metropolitan city in the eastern part of the country. The service of LoadExx commenced in January 2021 in the B2B segment after overcoming its then issues of driver hesitancy and customer anxiety and financial issues to adopt electrified cargo systems. The conundrum faced by LoadExx in its commencement thus had been solved under the able guidance of its owner Amit Arora. The case study was positioned four months after the commencement of LoadExx. To gain market power and traction, Arora and his team came up with the idea of market expansion. However, the current conundrum was whether LoadExx would enter the B2C segment in its current location or expand with the same business model to other parts of the country. The expansion was to be implemented in the immediate future to retain its rarity and reduce the imitability of the business model of LoadExx. This case study details the logistics and market operations of the cargo sector, especially electric cargo, in a developing economy, especially India. A teaching note supplementing the “Cracking the conundrum of e-cargo logistics: curious case of LoadExx” case study has been provided.

This case study is designed for undergraduate and postgraduate students and senior management professionals in executive education programmes undertaking courses in logistics management and supply chain operations and related cargo logistics courses. This case study denotes integrating key processes from end-users and gaining the trust of drivers, thereby showing the perspective of the plight and conundrums of a cargo aggregator working in the B2C segment. This case study could be used to discuss concepts related to not-for-profit firms, aggregators, policymakers and think tanks.

Teaching notes are available for educators only.

CSS 9: Operations and logistics.

The purpose of this paper is to compare perceived service quality of public/government and private medical college hospitals.

This study adopts a descriptive, cross-sectional and research design. The research sample includes 340 in patients from six medical college hospitals located in the state of Odisha, India. Primary data are collected through a structured closed ended questionnaire containing 66 items on 1–7 point Likert scale. Statistical tools like factor analysis and ANOVA are performed with the help of SPSS-17 software to analyze the collected data.

This study identifies 13 dimensions of perceived hospital service quality. The comparative study indicates better performance of public/government hospitals across the technical dimensions of perceived service quality, whereas private hospitals report better performance across majority of the functional dimensions.

In the Indian healthcare system, public hospitals provide low-cost healthcare targeted toward low to middle socio-economic population whereas, large corporate private hospitals provide high-cost healthcare targeted toward high-income group. So the comparison between them produces an obvious result indicating better service quality in private hospitals. Present study minimizes this gap by comparing the service quality of public and private medical college hospitals. Medical colleges ensure access to health services for a larger group of people. Thus, similarity in the segment of population receiving medical services in public and private medical colleges is higher, making the comparison of perceived service quality fairer.

This paper aims to examine, the specific literature related to performance measurement in the service sector. In the process, it also aims to classify and examine innovative approaches and models utilized to measure performance in service operational settings. Based on this investigation, the paper seeks to identify relevant benchmarking implications.

A database of 141 peer‐reviewed publications, published between 1981 and early 2008, was utilized for the purpose of this paper. The published works included contributions from both practioners and scholars.

The International Journal of Productivity and Performance Management is found to be the leading journal in terms of contributions to performance measurement in service operational settings. It contributed 25 articles. The bulk of published work appeared in international journals. These contributions were mixed in nature. They included empirical, conceptual, case studies, literatures reviews and interviews. The focus of the articles examined was also mixed. These articles tended to emphasis operational, customer, strategic, supplier, and environmental aspects of service.

Based on the findings of this paper, it is concluded that this area of research is in need of more future efforts aimed at solidifying theoretical constructs and practical applications.

Findings derived from this investigation have relevant benchmarking implications. In this context, understanding the different approaches to performance measurement as utilized in service organizations is critical to the efforts of these organizations' performance improvement efforts.

Understanding the types and scopes of the different approaches and models utilized to measure performance in service operational settings is important in light of the growing significance of the service sector.