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The purpose of this paper is to understand consumers’ intention to adopt internet banking. The study adopted the technology acceptance model with additional constructs (i.e. consumer innate innovativeness (II), domain-specific innovativeness (DSI) and perceived security risk (PR)).

The data were collected through a questionnaire-based survey (487 usable responses) from Indian consumers. A two-step SEM approach (i.e. measurement model and structural model) was used to analyze the data.

The findings show the significant positive influence of perceived usefulness, ease of use, attitude, II and DSI on consumer’s intention to adopt internet banking. The PR was found to have a significant negative influence on consumers’ intention to adopt internet banking, and DSI was found to negatively influence PR.

The study is limited to users of a particular region of India. Furthermore, the study limits itself in determining consumers’ intention only, not actual usage.

The study is a preliminary attempt to examine consumer’s intention to adopt internet banking in India by analyzing innovativeness and perceived risk.

The purpose of this paper is to understand the consumer’s intention toward internet banking adoption in Indian context by combining two theories; theory of planned behavior (TPB), technology acceptance model (TAM) and an additional construct, i.e. perceived risk.

A questionnaire based survey was conducted to collect responses from young consumers (210 usable responses). Data were analyzed using structural equation modeling to evaluate the strength of relationship.

The result shows that perceived usefulness, attitude, subjective norm and perceived behavioral control significantly influences the consumer’s intention to adopt internet banking whereas perceived risk failed to show any significant influence over intention to adopt internet banking.

The study is limited to young consumers (i.e. professional students) only. Further, the study concerns itself with consumer’s intention not actual behavior.

The finding will be useful for bank officials for devising strategies and policies related to internet banking in the Indian scenario.

The paper is one of the initial attempts in Indian context to understand the consumer’s intention to adopt internet banking by combining TPB and TAM theories.

Radish (Raphanus sativus) is valued for its nutritive and medicinal properties, but its juice is not palatable because of the pungent flavor. The purpose of this study is to optimize the blending process of radish juice by using sugarcane juice, herbal extract and salt concentration.

The statistical design provided 20 formulations; where herbal extract concentration varied from 0.5 to 2.5 per cent, sugarcane juice concentration from 20 to 50 per cent and salt concentration from 0 to 1.5 per cent.

The p = 0.05 was used to designate the statistical significance of all the responses under study. Different product formulations had total soluble solids (TSS) that ranged from 9.7 to 15.0°Brix, titratable acidity from 0.6 to 1.3%, pH from 3.3 to 4.0, reducing sugars from 0.6 to 0.8%, total sugars from 9.4 to 3.1%, total protein from 172.9 to 304.8 mg/100 ml, total phenols from 25.5 to 29.8 mg/100 ml, ascorbic acid from 10.4 to 19.8 mg/100 ml, antioxidant activity from 77.3 to 83.6% and overall acceptability from 5.6 to 7.7. Sugarcane juice concentration of 30%, herbal extract mixture and salt concentrations of 1 and 1.5%, respectively, were the optimized process conditions for the preparation of nutritional radish juice achieved with the best fit of desirability, i.e. 0.88. Cluster analysis revealed that concentration of sugarcane juice had the maximum significant effect on the quality characteristics of nutritional radish beverage as compared to the other two variables under study.

The developed product can help to promote the use of radish as a substrate for the beverage industry.

The objective of this systematic literature review (SLR) is to outline the existing research in the field of infrastructure project finance (IPF). This paper aims to summarise the academic and practitioner research to highlight the benefits of adopting IPF structures in uncertain environments. By highlighting all conceptual and applied implications of IPF, the study identifies future research directions to develop a holistic understanding of IPF.

The SLR is based on 125 articles published in peer-reviewed journals during 1975–2019. After providing a brief overview of IPF, research methodology and citation, publication and author analysis, the SLR presents the various domains around which existing research in IPF is focussed and provides future research propositions in each domain.

The study found that despite the increased usage of IPF, academic and practitioner research in the field is lagging. Also, with increased usage of IPF in emerging and under-developed economies, IPF structure presents a perfect setting to understand how investment and financing are interlinked and how to overcome the institutional voids, socio-economic risks and inter-partner differences by IPF structures.

This literature review paper is based on the research in IPF between 1975 and 2019. To the best of the authors’ understanding, the SLR is the first focussed study detailing a methodical and thorough compendium of existing studies in the IPF domain. By focussing on various domains of IPF research, this paper presents future research avenues in the field.

The objective of this paper is to investigate, assess and develop a hierarchical model to evaluate the interrelationship of critical success factors (CSFs) that influence the deployment of Sustainable LSS framework in hospitals. Further, developed model has been validated to investigate its applicability in hospitals towards sustainable LSS implementation.

“Interpretive Structural Modeling” (ISM) has been utilized to develop a convenient hierarchy and contextual relationship of key CSFs throughout the implementation pathway in Indian healthcare industry through systematic literature review and expert opinion, which is ensured by a taxonomy of CSFs using MICMAC (“Matrice d' Impacts Croisés-Multiplication Appliquée á un Classement”) and questionnaire-based survey to empirically validate the model through utilizing “Structural Equation Modelling” (SEM).

In this study, 17 keys CSFs to sustainable LSS implementation in healthcare industry have been investigated, and modeled. “Social and environmental responsibility,” “Financial return and project success stories,” “Top management involvement and leadership to implement Sustainable LSS,” “Availability of required resources, and their efficient utilization” are found to be the most essential CSFs for successful sustainable LSS implementation in healthcare industry. Further, classification of CSFs has been done for better interpretation of their nature using MICMAC approach. Moreover, the applicability of the proposed model has been empirically assessed utilizing SEM.

The scrutiny of data reveals that the initial inputs from experts throughout the ISM pathway could trigger biased inputs into the study and generalization of the results into others, it might be viable that this propounded model might trigger distinct outcomes for contrasting types of healthcare organizations.

This model on sustainable LSS would support the decision-makers, practitioners and researchers to predict key CSFs through deployment and support the existing academic research on sustainable LSS. Accordingly, the focus on the CSFs of the sustainable LSS can be prioritized to diminish waste, and enhance patient satisfaction and safety.

This paper is an original contribution of analysis of CSFs in Indian healthcare industry utilizing an integrated ISM-MICMAC and SEM approach.

The purpose of this study is to develop a structured hierarchical interrelationship-based model to evaluate the critical failure factors (CFFs) that affect the sustainable Lean Six Sigma (SLSS) framework implementation in a healthcare organization. Further, solution approaches have been provided that guide to eliminate them.

The CFFs has been identified through empirical study and clustered into six major categories for their better understanding. The interrelation among CFFs has been developed through total interpretive structural modeling (TISM) and classifies the nature using MICMAC technique. Further, prioritized the CFFs based on its driving and dependents power. The methodology enabled the decision-makers, practitioners to systematically analyze the CFFs and develop a structural model for implementing SLSS in the healthcare environment.

A total of 14 leading CFFs have been identified, and 7-level structured interrelationship-based model has been formed. The experts have provided the solution approach after careful analysis of the developed model. Based on the analysis, it was observed that the significant CFFs affect the deployment of the SLSS framework in healthcare organizations.

The structured model and methodological approach have been tested in a healthcare organization. In the future, the approach can be applied in the different service sectors.

The present study has been conducted in a real-time industrial problem. The practitioners, decision-makers and academicians expressed the usefulness of methodology for understanding the CFFs interrelation and their effect on SLSS implementation. This study also guides decision-makers to systematically tackle related problems.

The development of a structured CFFs based model for SLSS framework implementation using the integrated TISM-MICMAC with a detailed solution approach is a unique effort in a healthcare environment.

With the rising needs of health-care (HC) services during the health outbreaks, it is essential to upgrade the existing HC delivery infrastructure. The study aims to prioritize and highlight the interrelationships among the key factors of the smart health-care supply chain (HCSC) by implementing the concept of Industry 4.0.

The key factors of implementing Industry 4.0 in HCSC have been identified through extensive literature review and stakeholders' opinions. To achieve the abovementioned objectives, the present study proposed hybrid multi-criteria decision-making (MCDM) tools, namely, the fuzzy-analytic hierarchy process (AHP) and fuzzy- decision-making trial and evaluation laboratory (DEMATEL). The Fuzzy-AHP prioritized the factors of implementing Industry 4.0 in HCSC, while the cause–effect relationships among the factors have been explored using fuzzy-DEMATEL.

The results of the study indicated that HC logistics management (HCLM) is the most prioritized factor of implementing Industry 4.0 in HCSC, followed by the integrated HCSC, then sustainable HCSC practices, HCSC innovation and technological aspects, HCSC institutional perspectives, HCSC competitiveness, social aspects and economic factors of HCSC. The cause–effect analysis has highlighted integrated HCSC, HCLM, HCSC competitiveness and social aspects as the cause group factors and they are the critical success parameters for implementing Industry 4.0 in the HCSC.

The results of the study can be useful for policymakers, humanitarian organizations, health administrators and other decision makers considering the smartening of HCSC to enhance the operational performance of health facilities.

This is one of the few studies to have been conducted so far in which the subfactors of HCSC implementing Industry 4.0 have been identified and analyzed using the fuzzy-AHP and fuzzy-DEMATEL hybrid approach.

This study aims to identify and analyse the interactions among drivers of anti-food waste behaviour at the consumer level. By understanding the mutual interactions among the drivers, an effort is made to identify the most driving and most dependent drivers through the total interpretive structural modelling (TISM) approach. Modelling offers inputs to propose focused interventions for reinforcing the identified drivers of anti-food waste consumer behaviour using the theoretical lens of social practices theory.

A proposed model of factors affecting anti-food waste behaviour is arrived at to suggest the most effective anti-food waste behavioural interventions. The factors were identified through an extensive literature search. A hierarchical structure of identified factors has been developed using TISM and MICMAC analysis through expert opinion. Focused marketing strategies towards promoting the identified factors for encouraging anti-food waste behaviour were suggested further.

This study identifies nine drivers based on extensive literature review, brainstorming and expert opinion. The TISM hierarchical model portrays the most important and least important drivers of household anti-food waste behaviour. It establishes that fundamental knowledge and socio-cultural norms are the most critical factors to drive the consumers. Marketers can focus on designing effective interventions to enhance the essential knowledge of the consumers and orient the socio-cultural norms towards anti-food waste behaviour.

This study offers implications for practitioners, policymakers and cause-driven marketing campaigns targeting anti-food waste behaviour. It provides an indicative list of critical factors relevant to household food waste behaviour, which can be used to drive effective marketing campaigns to nudge anti-food waste behaviours.

The proposed food waste behaviour management model was developed through modelling technique (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis, and relating them to marketing interventions is a novel effort in the food waste domain.

This study proposes a new model for assessing supply chain sustainability risk integrating subjectivity and objectivity of decision-maker. Research has shown the vacancy of study in dealing with the above issue. To fill this research gap, a new decision support model considering the subjectivity and objectivity of decision-makers in assigning the weight of the supply chain risk reprioritization criteria is presented and demonstrated using a case example.

This study adopts a new decision support model for assessing supply chain sustainability risk based on additional failure mode and effect analysis (FMEA) parameters and its integration with preference selection index (PSI) methodology and the Shannon entropy. A case example of the supply chain small and medium enterprise (SME) producing handy crafts has been used in this study.

The result of the study reveals critical sustainability risk dimensions and their risk elements demanding management attention to support realization to a more sustainable business operation.

The use of a single case study is often associated as a limitation in the research studies, and this study is based on findings from SMEs in the handy craft sector in a developing country. Nonetheless, future studies may focus on replicating this study using more samples. This preliminary study provides academics and practitioners with an exemplar of supply chain sustainability risk assessment from the SME in a developing country.

The result of this study is beneficial for practitioners, particularly owner-managers of SMEs who can use this study as guidance on how to identify and select the critical sustainability risks and plan mitigating strategies accordingly.

Scientific effort on appraising criticality of supply chain sustainability risks considering subjectivity and objectivity of decision-maker simultaneously is missing in earlier studies. To the best of the author’s knowledge, this is the first paper applying the PSI and Shannon entropy method and using it for evaluating the impact of supply chain risk based on five sustainability pillars. The findings and suggestions for future research initiatives will provide new insights for scholars and practitioners in managing SME supply chain sustainability risks.

The study investigates the influence of perceived security (PS) on behavioral intention (BI) via the trust attitude process and explores the moderating effects of gender. PS in mobile wallets enhances user trust (TR), attitude (ATT) and intention (INT). Using a multiple and serial mediation model, both TR and ATT were found to mediate the relationship between PS and BI.

Drawing on the stimulus-organism-response (S-O-R) theory, the proposed conceptual model comprises PS, TR, ATT and BI. An online survey was conducted with a cross-sectional sample of 744 mobile wallet users in India. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the hypothesized relationships and test the mediation effects.

Results show that the stimulus, PS, has a positive and significant influence on TR and ATT, which eventually has a positive influence on BI. The research model explains 64.4 percent of the variance in BI. Further, both TR and ATT independently and parallelly mediate the relationship PS and BI. Lastly, gender is found to moderate the relationship between TR and BI and ATT and BI.

The research showed the importance of PS, TR and ATT towards mobile wallet adoption INTs. Further, the findings support the idea that developing TR and ATT is essential for shaping INTs. This suggests that mobile wallet service providers should invest in methods that not just enhance user TR but also reinforce a positive ATT towards the platform. To demonstrate TR, mobile wallet providers must ensure the confidentiality and privacy of user data, keep customer interests in mind and fulfill commitments. Lastly, for strengthening customer TR, excellent customer support is extremely important.

While prior researchers have majorly used technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) models to explain adoption INTs, this study examines the relationship between PS, TR, ATT and BI through the lens of the SOR framework.