Purpose: The purpose of this paper is to explore and identify the contextual quality management practices (QMP) and to empirically examine their underlying dimensions and its direct influence or association with performance in context to Indian IT enabled service small- and mid-size enterprises (SMEs). Design/methodology/approach: The methodology adopted in this study is sequential exploratory mixed method approach. This study adopts two stage processes of capturing data, first identifying critical QMP/indicators as obtained from review of literature, followed by in-depth interview based on semi-structured questionnaire from sample of 20 select service SMEs. Based on comprehensive compilation of literature as well as through in-depth interview 21 QMP have been identified. Structured instrument has been developed taking measures as identified. The QMP relevant to SMEs have been derived from Kaynak (2003), Samat et al. (2006), Salaheldin (2009), Kim et al. (2012) and Talib et al. (2013b). The research instrument developed was customised and adapted to the background of Indian IT enabled service SMEs. Similarly for measuring quality performance five items have been identified from previous literature. Five-point Likert scale ranging from “5=strongly agree” to “1=strongly disagree” is used to show the agreement of the respondents. Exploratory factor analysis has been deployed to identify underlying dimensions of QMP. Thereafter, linear regression modelling has been done to better understand the relationships between QMP and quality performance. Findings: A three-factor solution has been obtained and the individual practices could be reconfigured into three dimensions, namely, organisational management, capacity management and quality documentation and security management (QDSM). The findings reflect that strength of Indian IT enabled service SMEs pertaining to quality implementation lie with customer focus, training and service-level management (SLM). Regression analysis shows that all three factor dimensions are positively influencing quality performance. The predictor score of three factor dimensions clearly reflects that Indian SMEs in service sectors have been focusing more on organisational culture and QDSM. The overall findings resemble very interesting insights which gives indication of unstructured pattern of approach. Keeping in view the pattern of practices it can be predicted that Indian digital SMEs are not practicing continuous improvement. It could be inferred that Indian IT enabled service SMEs approach is non-continuous in nature. Research limitations/implications: Further analysis may be needed to measure the construct using confirmatory factor analysis (CFA). The research paper is limited by including only six service sub-sectors which may not be adequate to generalise the results for the entire IT enabled/digital service SMEs within India. The same study can be extended by incorporating more quality management (QM) variables and other contextual factors within the organisation and by involving other service sector SMEs. Future research could be done by incorporating multi-contingency framework and moreover researchers may deploy other sophisticated tools and techniques to investigate how individual QMP are interrelated and its influence on performance by means of linkage research. The conceptual model developed can be validated by incorporating other service sector SMEs by deploying CFA and structural modelling. Practical implications: This study could be beneficial to entrepreneurs and managers of start-ups and other service industries towards understanding improvement and changing their implementation approach. The theoretically grounded conceptual framework developed could provide entrepreneurial insights to new service managers and entrepreneurs who can better allocate their scarce resources to build quality and scalability effectively. Originality/value: This study adds to the literature in identifying and showing importance of QMP in Indian IT enabled service SMEs. This choice is appropriate for this study as no prior research has been found to be conducted on this particular sector from Indian context, especially from service SMEs point of view. This research contributes in identifying new QMP (i.e. service reporting; content management; SLM and information and security management). Overall, the results of this study contribute towards advancing the understanding of the dimensionality of QM. To the best of the authors’ knowledge, this study is the first study being undertaken in context to Indian IT enabled service SMEs and is believed that the study provides valuable knowledge from the perspective of QM issues pertaining to Indian service firms.

Circular Economy (CE) frameworks augmented multi-dimensional research, including definitions, principles, indicators, history, limitations, enablers, and allied issues. Rethinking the designing strategies requires the exploration of CE associates and their functioning as companions for amplification through multiple suggestions, highlighting the interactions with the overall CE system towards sustainability. This paper focuses on how CE literature concentrates on premeditated areas and solution approaches. A lack of deterministic manifestations critically limits the interpretation and application of CE concepts. The paper contributes to the CE theoretical and practical understanding by for the first time outlining the CE associates, their connotation, progression, positioning in architecture, and their current state. These associates support individualization of a CE concept. The coherently applied methodology attempts to reduce the knowledge gap by following a systematic quantitative literature review process to screen 76 articles and 122 CE definitions, referencing one decade of literature. Application of comprehensive morphological mining facilitated the extraction of CE associates and later analysis. On application of Bibliometric Analysis, Text Analysis, Semantic Analysis, and Relation Mapping to the literature, 49 associates emerged. They were further validated by application of Content Analysis and Weighted Average Priority Ranking on extracted article content and definitions for deriving the most prominent associates. Subsequently, Association Rules Data Mining and K-Means Clustering were deployed in exploring the relations, ranking, and significance of CE associates. The findings consistently state that business actions (virtualize, exchange); sustainability pillars (society); and R strategies (refuse, refill, and repurpose) are unexplored CE associates, whereas Business, Economics, Environment, Measurement, Product, Industry, Resource, System, Waste, and Recycle are the most explored associates of the CE ecosystem.

This paper explores business models for community energy storage (CES) and examines their potential and feasibility at the local level. By leveraging Multi Criteria Decision Making (MCDM) approaches and real-world case studies in Europe and India, it presents insights into CES deployment opportunities, challenges, and best practices. Different business models, including community energy cooperatives, utility–community partnerships, demand response, energy services, and market mechanisms, are analyzed. The proposed method combines the MCDM method PROMETHEE II with the fuzzy set theory to obtain a complete CES business model ranking, addressing project uncertainties. The analysis emphasizes CES’s role in balancing local renewable energy supply and demand, facilitating energy sharing, and achieving energy independence. Findings prioritize models like Community Cooperative, Energy Arbitrage, and Energy Arbitrage Peak Shaving for CES with renewables. Environmental benefits include reduced diesel use and greenhouse gas emissions. Efficient cooperatives are advocated to recover costs and enable competitive energy prices. The paper highlights the need for novel value propositions to boost the energy transition in local communities. This research contributes to the discourse on CES business models, fostering knowledge exchange and promoting effective strategies for sustainable energy systems.

The purpose of this paper is to critically investigate the relationship among quality management (QM) practices with their direct and indirect effects on performance outcome by means of conceptual extension and generalisation. The paper uses factor analysis and structural equation modelling which has been tested using cross-sectional data collected from IT enabled small and medium service firms in India. The analysis shows the interdependency of QM practices and the importance of a systematic approach for managing QM practices. The findings from this study indicate that the nature of the interrelationships between these core QM practices is unique to the Indian context. The unique contribution of this study has been in terms of its model-building approach towards designing a linkage model showing interdependencies among critical QM practices with its direct and indirect effects on performance outcome. Such a holistic framework with plausible interaction effects has not been studied earlier in the Indian context with sector-specific relevance to IT enabled service SMEs. Further the paper recommends suggestions for improvement along with managerial implications and future scope of study.