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The current research prioritizes the dimensions of a higher-order customer engagement construct in the tourism destination context in order of their relative importance as perceived by tourists to provide meaningful insights to the tourism industry player.

Data was collected from 429 tourists' from selected tourist destinations. Exploratory factor analysis (EFA) was used for data analysis using SPSS. The scale items were prioritized through hybrid evidence-based modeling using the RIDIT-GRA (Relative to an Identified Distribution and Grey Relational Analysis, respectively) approach.

The prioritization of customer engagement scale items is done through RIDIT analysis and is verified through GRA. The rankings of two independent methodologies show a 93% correlation, thereby ensuring the ranking's robustness.

Prioritizing customer engagement scale items may assist destination managers in strategy formulation to ensure tourists' high-level loyalty transcending purchase. The findings help develop key response areas (KRA's) for effective destination brand management.

Such precedence analysis of customer engagement scale items has not been done in the tourism studies yet. Also, the present study verified the results by incorporating two independent methodologies, thus providing more valid results.

This paper aims to develop a parsimonious and robust formative index for evaluating and measuring the brand relationship quality of automobile brands.

Survey questionnaires were used to collect empirical data from 395 car owners, out of which 362 samples were included in the final analysis. Partial least squares technique was used for index construction.

The empirical findings exhibit that the automobile brand relationship quality (ABRQ) index based on the final set of six indicators effectively captures the conceptual domain of brand relationship quality. In addition, the external validity check affirms positive and significant influence of ABRQ index toward enhancing customer loyalty.

ABRQ index can assist the brand managers and academicians for benchmarking and market strategy formulation while contributing to the limited literature on brand relationship quality. Also, this index having six-indicators can considerably reduce the time and effort of respondents for filling the questionnaires, in turn, improving response rates.

This study represents a novel attempt to formulate a brand relationship quality index using formative measurement indicators, and as per the authors’ knowledge, has not been attempted by prior researchers in this domain.

The study aims to develop a hierarchical model for innovative work behaviour (IWB) that can capture the complex associations among the factors contributing to IWB within the information technology (IT) sector. To accomplish this, the authors rely on an abductive approach using a graph theoretic model, often called interpretive structural modelling (ISM).

After conducting an in-depth literature review and using the Delphi method, the authors identified 12 factors (11 enablers and IWB as an outcome). The authors collected data through the Delphi approach by sending the questionnaire to 11 experts from academia and the IT sector who have extensive experience and knowledge relevant to the study. The authors then used the ISM method to analyse the relationships among these factors and understand their driving forces.

Based on the ISM model and the Matrice d'Impacts Croisés Multiplication Appliquée à un Classement analysis, the authors have identified that inclusive leadership, proactive personality and knowledge creation ability are the variables with strong driving power but weak dependence. Conversely, IWB has strong dependence but weak driving power. These findings suggest that to foster IWB, the organisation should prioritise inclusive leadership, proactive personality and knowledge-creation ability to succeed in challenging times. The study’s findings contribute to the social exchange theory, which explains IWB in a dynamic setting. Additionally, the study helps address the significant concerns that most IT companies face during times of crisis.

The study provides valuable guidance for managers and policymakers who are grappling with the challenges of improving IWB in the IT sector. This study is particularly relevant as the industry is currently navigating an economic recession and facing intense competition from other tech companies launching new products and services.

This research holds great significance for top executives, line managers and policymakers in the IT industry. It sheds light on the relevance and importance of various factors facilitating millennials' IWB.

The concept of productive entrepreneurship has been recognised as a strategic approach to address the various challenges economies face, such as high unemployment, low economic growth and limited diversification. However, studies on the productive entrepreneurship’s critical success factors (CSFs) are rare and fragmented. Hence, this paper aims to identify the CSFs of productive entrepreneurship and determine their relationship among to offer a meaningful framework for enhancing the result of entrepreneurial activities in the emerging economy.

The authors conducted an extensive literature review and consulted experts to identify 14 CSFs for productive entrepreneurship. The technique of interpretive structural modelling (ISM) was used to determine the relationships and interconnectedness between these factors. In addition, this study used matrix of cross-impacts applied to a classification (MICMAC) analysis to determine the significance of CSFs in relation to the productive entrepreneurship.

The results indicate that the regulatory environment, incubators and accelerators and mentorship were the most influential factors for productive entrepreneurship in the Indian context. In contrast, social mobility and resilience were found to be the least influential factor.

The study's findings can enable researchers, policymakers and entrepreneurs to make informed decisions and develop effective strategies to enhance the productive entrepreneurship.

The unique approach of research (ISM and MICMAC analysis) expands the frameworks of the entrepreneurship ecosystem with a comprehensive and dynamic emergent investigation into the foundation of productive entrepreneurship.

The importance of consumer experience in service industries, particularly healthcare, is widely acknowledged as it captures the intricacies of quality management. In tandem with the emerging research trends that evaluate service excellence through user experience, this study renders a performance analysis of the dimensions of consumer experience that individually or collectively shape healthcare consumers’ perceptions of service quality.

A cross-sectional study was conducted across 13 mid-tier corporate hospitals to collect data from 438 patients. The data was processed through factor analysis in SPSS to confirm sample adequacy and factor extractability. Further, two independent multi-criteria decision-making (MCDM) tools, Fuzzy Technique for Order Performance by Similarity to Ideal Solution (F-TOPSIS) and Grey Relational Analysis (GRA), were executed to render performance analysis of identified factors.

Using F-TOPSIS, factors such as “information” and “hospital environment” received higher performance ratings, while items related to “communication with doctors” and “humanistic care” received lower rankings. Minor yet anticipated deviations were observed while verifying performance scores using GRA. Nonetheless, both outcomes exhibited a strong correlation coefficient of 97.14%, confirming analytical consistency.

Hitherto, such usages of hybrid MCDM techniques have rarely been executed to convey a clear understanding of consumers’ experiences in healthcare services. Moreover, the findings provide a clear insight into consumers’ key response areas, which can further be translated to maximize consumer gratification, thus assisting healthcare managers in improving service performance and clinical decision-making.

This study identifies antecedents and consequences of destination brand engagement (DBE) that have redefined the tourists' behavior during the COVID-19 outbreak. Specifically, it assesses the impact of social media interaction and destination authenticity on DBE and DBE's effect on tourists' willingness to pay (WTP). Further, it examines the mediating role of affective attitude and the moderating role of perceived risk between the associations of DBE and WTP.

Survey data were collected from 436 respondents through a structured questionnaire from selected tourism destinations in India. Structural equation modeling (CB-SEM) is employed to empirically examine the formulated hypotheses. Besides, hierarchical second-order confirmatory factor analysis is also deployed to analyze certain constructs as higher-order factors.

Social media interaction and destination authenticity elevate DBE, and DBE enhances affective attitude and WTP. Affective attitude mediates the relationship between DBE and WTP. Hence, the association between tourists' engagement and spending behavior becomes crucial under elevated affective attitude conditions. Finally, perceived risk during the pandemic dampens the association between DBE and WTP.

The findings may provide newer insights to the tourism companies, marketers and policymakers to create targeted strategies to minimize the risk perception and improve engagement levels of the tourists, which can yield economic returns in the long run.

Based on the cues from protection motivation theory (PMT), this study develops a DBE framework and identifies the factors affecting its sustenance in the pandemic hit tourism sector. Further, suggesting implications to ensure safety measures in the tourism industry that may assist in establishing economic resilience.

The literature on entrepreneurship implicitly suggests that developed nations' entrepreneurial ecosystems (EE) are positively related to small and medium enterprise performance. However, few theoretical and empirical studies explicitly investigate this relationship in emerging economies. Also, earlier studies have concentrated on the EE–SME performance association in a stable environment without any uncertainties. Hence, the current study analyses the relationship between EE and SME performance in an emerging economy. Entrepreneurial resilience (ER) has been introduced (mediator) to understand the EE–SME performance relationship in the post-pandemic period.

The research sample comprises 359 Indian SMEs. The owners/managers of each SME were contacted to obtain responses. The research employs a multifaceted method Partial Least Squares-structural equation modelling that permits the investigation of several concurrent associations for data analysis.

The findings reveal that EE significantly impacts ER and SME performance. Additionally, ER partially mediates the relationship between EE and SME performance. The findings indicate that post-pandemic India's EE positively influences SME performance directly, as well as indirectly through ER.

The results provide implications for policymakers from economies similar to India's. It suggests that policymakers can enhance ER and, consequently, SME performance during periods of uncertainty by focusing on developing an EE with strong institutional foundations, supportive frameworks and a culture of adaptability.

SMEs and entrepreneurial activities in India are relatively new, but they are rising rapidly. This investigation adds to our knowledge of EE and allows us to comprehend its components in developing countries. This article contributes to the knowledge of India’s SME performance from an EE and ER perspective in the post-pandemic scenario.

Previous research has indicated that entrepreneurial marketing (EM) positively influences small and medium-sized enterprises’ (SMEs) performance. While most studies have examined the relationship in a stable environment, EMs’ effectiveness during environmental instability remains uncertain. Therefore, the study aims to investigate the influence of EM on Indian manufacturing-based SMEs’ performance during the COVID-19-induced environmental instability. Additionally, it explores the mediating role of innovative performance in the relationship between EM and SME performance.

The data were collected by distributing a structured survey questionnaire to 302 owners/managers of SMEs. Hypotheses were tested using structural equation modeling (SEM).

The result indicates that EM significantly impacts both innovation and SME performance. Furthermore, the innovative performance partially mediates the link between EM and SME performance. The findings suggest that even within severely affected sectors (manufacturing) during the pandemic, SMEs can achieve growth and innovation through effective EM practices.

This study validates the theoretical notion that EM remains effective even in unpredictable environments such as the COVID-19 pandemic. The findings offer valuable insights for SMEs seeking innovative strategies to enhance their performance, particularly those in emerging economies.

Prior studies have relied on a single layer of abstraction to analyze the impact of EM. The present study is the first to extend standard construct (EM) conceptualization. Furthermore, it evaluated the efficiency of EM in situations characterized by instability, which is rare in the EM and SME literature.

The present research attempts to empirically examine the influence of consumer-brand engagement, its potent antecedents, and relationship quality towards creating and enhancing brand loyalty of automobile brands in Indian context.

Primary data through survey questionnaires were used to gather empirical data from 443 automobile consumers, out of which 417 samples were included in the final analysis. Structural equation modelling technique was used for assessing the hypothesized direct and indirect relationships among the constructs.

The empirical findings exhibit consumer involvement and brand interactivity contributes positively and significantly towards consumer-brand engagement, while self-brand image congruity does not significantly influence consumer-brand engagement. Further, mediation analysis results show that relationship quality partially mediates the linkage between consumer-brand engagement and brand loyalty.

The outcomes of this research may provide novel insights and contribute to the limited body of knowledge regarding consumer-brand engagement. In addition, the findings may assist the automobile brand managers and market strategists to design strategies aimed at developing long-term consumer relationships.

This empirical research assesses the mediating effect of relationship quality in the linkage between consumer-brand engagement and brand loyalty for automobile brands, and to the best of our knowledge, has not been attempted by prior researchers in this domain.

Over the years, despite the best efforts to evaluate service quality through multiple techniques, the connotation between service deliverance and consumer expectation remains sporadic. In the quest to quantify service quality from an innovative perspective, the current study has leveraged consumer-perceived experiences to unveil the novel intricacies of healthcare quality.

Anchoring on the dimensions of patient experience (PX), field data were collected from 244 patients at different private hospitals operating across India. Further, this study incorporated a fuzzy analytic hierarchy process (F-AHP) to evaluate consumer preferences and prioritised the dimensions of PX in three categories of Indian hospitals, namely nursing homes (NHs), mid-tier corporate hospitals (MCHs) and top-tier corporate hospitals (TCHs).

The results establish a performance ranking by demonstrating that MCHs outperform the rest alternatives on the grounds of perceived experiences. Tukey's honestly significance difference (HSD) test was executed to confirm the heterogeneity among the participants' preferences across three different hospital categories. The results reveal that for most of the alternatives, the mean scores of the criterion were statistically significantly different.

In healthcare studies, PX dawned as an entity with an ability to propel healthcare quality in a better way than the classical techniques did. The study's findings present a comprehensive picture of a care delivery system by identifying relatively significant dimensions of PX, hence improving the quality quotients by adjusting healthcare offerings in alignment with consumer expectations and organisational strategies.