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The purpose of this study is to understand the detailed mechanism through which consumer citizenship behavior gets affected by corporate social responsibility through perceived employee behavior and consumer company identification.

The study subjects data from cross-sectional survey of 405 retail store consumers to structural equation modeling.

The results indicate that consumer company identification plays a very crucial role as it mediates the effect of corporate social responsibility and employee behavior on consumer citizenship behavior. In addition, the results also indicate that corporate social responsibility perceptions lead to positive employee behavior.

The study contributes to the literature on consumer citizenship behavior by identifying and filling up two major gaps in the retail outlets' context: (1) the limited empirical investigation of antecedents of consumer citizenship behavior up to third-level (i.e. antecedent of antecedent of antecedent) (2) the lack of clarity on the exact mechanism through which perceived corporate social responsibility influences consumer citizenship behavior, and the role of consumer company identification as a mediator in this relationship.

Drawing from socialization theory this study investigates the effect of financial socialization and mediating role of “attitude toward money” (ATM) and financial literacy on the financial behavior of young adults in an emerging economy.

A cross-sectional survey of 302 young adults was conducted and responses were analyzed to determine the key antecedents of financial behavior. The model was tested using OLS regression. Parallel mediation was tested using Process Macro in SPSS.

ATM, subjective financial literacy, objective financial literacy are positively associated with financial behavior. Furthermore, parallel mediation analysis establishes the role of ATM and subjective financial literacy as a mediator between financial socialization and financial behavior.

These findings have implications for both financial and academic institutions and policymakers. Academic institutions should introduce personal wealth management courses at early stages in their courses to help young adults make appropriate financial decisions. Policymakers should emphasize creating a habit of budgeting and managing expenses among young adults in addition to promoting financial literacy.

This study focuses on determinants of financial behavior in young adults and specifically, argues that involving parents to financially socialize their children have a crucial impact on subjective financial literacy and ATM which has not been explored in previous literature.

This study aims to highlight the impact of information acquisition confidence and social outcome confidence on information search and information share intention. Moreover, the role of subjective knowledge is analyzed as a mediating variable among these relations.

This study conducted a survey which generated 233 valid responses. The data were analyzed using component factor analysis and structural equation modeling. Whereas, to examine the mediating effect, Hayes and Preacher (2008) model for statistical mediation analysis was used.

The results mainly supported the model by confirming that subjective knowledge, information acquisition confidence and social outcome confidence are positively related to information search intention. No association between information acquisition confidence and information sharing intention was found. The study's findings also suggested a positive association of social outcome confidence, subjective knowledge and information acquisition confidence with information share intention. Moreover, the results revealed that there is a significant and positive mediating effect of subjective knowledge between information acquisition confidence and information search intention. Subjective knowledge also acts as a mediator in the relationship between social outcome confidence and information sharing intention.

This study will be helpful for marketers and policymakers for designing marketing strategies which can enhance the flow of information. Moreover, this study will ensure the importance of information to marketers.

This paper fulfills an identified need to study the impact of consumer information acquisition confidence, social outcome confidence on information search and sharing with mediating role of subjective knowledge.

Social enterprise, Social entrepreneurship.

PGDM, PGDM Executive.

The case is about the evolution of a unique social organization, BloodConnect, over its journey of four years. Initiated by two Indian Institute of Technology (IIT) Delhi students in 2010, the organization went on to be recognized for making leeway into the hitherto underserved need of blood security in India. The case describes BloodConnect's evolution with respect to different dimensions of blood shortages and the organization's acquisition of knowledge over the years. BloodConnect acted as a facilitator to bring multiple stakeholders, including potential donor segments, beneficiaries, hospitals, government and NGOs, on the same platform to collectively identify solutions, thereby increasing the ownership of each segment toward an issue of importance to the society. While the organization started gaining visibility and was on its way to making its operation structured, it desired to move beyond the confines of Delhi-NCR to raise the movement to the national level, but it was faced with challenges peppered with lack of resources, lack of funds, absence of a permanent leadership and complex dynamics between the multiple stakeholders. Donor dependency for funds and amateur management were the other major impediments for its sustenance. The case brings forth the major challenges threatening the very existence of the organization as it grappled to identify solutions that could provide revenue sustainability without dampening its mission of creating social value. The case is of relevance to social enterprises in the context of a developing nation as most of the low and middle income countries face similar challenges pertaining to blood security. It also brings forth the issues of survival, scalability and the concept of social value measurement. In what are the myriad hurdles faced by start-ups, the traditional metrics might not be enough while measuring the impact created by a social enterprise.

To develop an insight into the unique challenges faced by start-up social ventures and options available to them for growth and subsequent consolidation. To enhance the understanding of interrelationship between mission focus, scale of operations, revenue sustainability and social impact. To introduce students to the concept of social value measurement. The students would be able to appreciate the uniqueness of the metrics specific to a social venture.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Sharing patient health information (PHI) among hospitals has been much slower than the adoption of health record systems. This paper aims to investigate if privacy regulation (PR) or security measures (SMs) influence hospitals’ use of health information exchange (HIE) to share PHI with other providers (e.g. physicians, labs, hospitals). The study specifically focuses on how multiple PRs can impede and a strong national security infrastructure (NSI) can support HIE.

The study uses secondary data from a multi-national and multi-hospital survey administered by the European Union. The multi-level structure of the cross-sectional panel data is used to test the influence of both hospital-level (e.g. PR) and national-level variables (e.g. NSI) on HIE. A total of nine types of HIE, three types of PRs, nine SMs and other relevant control variables are considered. This study uses a two-level random intercept generalized linear model to test the hypothesis proposed in the study.

The study finds that national-level PRs (NLPR) have the strongest positive influence on HIE in comparison to regional (RLPR) and hospital-level (HLPR) PRs. Moreover, the study finds evidence that the presence of RLPR and HLPR, on average, decreases the positive impact of NLPR by 264%. The SMs also have a significant and positive impact on HIE. Adoption of an additional SM can increase the odds of engaging in a certain type of HIE between 21% and 61%. On the other hand, a strong NSI can also amplify the positive impact of SM on certain types of HIE.

This study extends prior research on the role of PRs in enabling HIE by considering the complexities brought up by adopting multiple PRs. NLPRs have the strongest impact on HIE in comparison to RLPRs or HLPRs. Moreover, public infrastructure initiatives such as those related to secure communications can also complement SMs adopted by the providers by encouraging HIE.

There are various style options available when one buys clothes on online shopping websites, however the availability the new fashion trends or choices require further user interaction in generating fashionable clothes. The paper aims to discuss this issue.

Based on generative adversarial networks (GANs) from the deep learning paradigm, here the authors suggest model system that will take the latest fashion trends and the clothes bought by users as input and generate new clothes. The new set of clothes will be based on trending fashion but at the same time will have attributes of clothes where were bought by the consumer earlier.

In the proposed machine learning based approach, the clothes generated by the system will personalized for different types of consumers. This will help the manufacturing companies to come up with the designs, which will directly target the customer.

The biggest limitation of the collected data set is that the clothes in the two domains do not belong to a specific category. For instance the vintage clothes data set has coats, dresses, skirts, etc. These different types of clothes are not segregated. Also there is no restriction on the number of images of each type of cloth. There can many images of dresses and only a few for the coats. This can affect the end results. The aim of the paper was to find whether new and desirable clothes can be created from two different domains or not. Analyzing the impact of “the number of images for each class of cloth” is something which is aim to work in future.

The authors believe such personalized experience can increase the sales of fashion stores and here provide the feasibility of such a clothes generation system.

Applying GANs from the deep learning models for generating fashionable clothes.

The purpose of this paper is to investigate the factors influencing the behavioral intention to adopt payments banks services by Indian underbanked and unbanked population.

The proposed model has assimilated factors from the Unified Theory of Acceptance and Use of Technology (UTAUT) along with perceived credibility. The factors of UTAUT include performance expectancy, effort expectancy, facilitation of conditions and social influence. Apart from testing the direct relationships of the model constructs with the behavioral intention to adopt payments banks services, the study has also explored mediating and moderating effects of certain constructs. The research model has been empirically tested using 660 responses from a field survey conducted in New Delhi – the capital city of India – by using the structured equation modeling (SEM) technique. The target respondents of the study are small businessmen and migrant laborers who are either underbanked or unbanked.

The findings of the study reveal that the model is able to explain 67.5 per cent of the variance in behavioral intention. The results indicate that all the factors are direct determinants of behavioral intention. Perceived credibility is found to be the strongest influencer of behavioral intention. The findings also indicate that perceived credibility partially mediates the relationships between “social influence and behavioral intention” and “performance expectancy and behavioral intention.” The relationship between performance expectancy and behavioral intention is also found to be moderated by facilitating conditions and effort expectancy.

As this study is based on a convenience sample of respondents of only one city of India, this could negatively reflect on the generalizability of results across other cities. Moreover, the study has only focused on the perceptions of small businessmen and migrant laborers. This raises concerns regarding the applicability of the results for other segments of the current population that have different demographic characteristics (e.g. occupation, income, education level and technology experience). Modifying the conceptual model presented in this research to include “experience” and “age” as moderators can also be worth considering in future. Although this study has extended the UTAUT to include perceived credibility, the results of the explanatory power of the model indicate that there is still room for improvement. Therefore, including other constructs, e.g. hedonic motivation, perceived risks and trialability, could be a fruitful path forward. Future studies may also examine the factors influencing the actual use behavior of payments banks, rather than just behavioral intention.

The study looks forward to providing the payments banks service providers in India with suitable guidelines for effectively implementing and designing payments banks services. Specifically, the results of this study have provided clues for Indian payments banks service providers about the crucial role of perceived credibility in influencing the behavioral intention to adopt payments banks. Therefore, service providers have to initially be sure that payments banks are able to conduct financial transactions efficiently, securely and within less time, along with the availability of information required by customers to successfully use the services. Service providers should enhance customer confidence and trust by providing secure and reliable services. They should also emphasize on the positive safety measures of the payments banks during any marketing campaign rather than just creating brand awareness.

The study represents a substantial contribution to the existing knowledge regarding mobile payment channels in particular and technology acceptance area in general. In fact, this study presents a worthwhile direction by examining payments banks services, which, so far, have not been well evaluated in the Indian context. To the best of the authors’ knowledge, this is an early attempt toward a holistic and integrative approach to explain adoption of payments banks in India. Although prior studies have addressed mobile banking and mobile payment adoption, the strength of this research lies in combining the UTAUT constructs with perceived credibility. This is evidenced by the high explanatory power (67.5 per cent) of the research model adopted in this study.

The knowledge about a specific product develops self-confidence among consumers and facilitates them to share and search for information. This study aims to highlight the effects of consumer’s self-esteem on search and share intentions of information. Furthermore, this relationship was analyzed through the mediation of subjective knowledge (SK).

The data were collected from 1,136 Chinese respondents having a perception of purchasing cellphones. To analyze the data, check its normality and validity, analysis of moment structures (AMOS) was used. However, to inspect the relationship of study variables, “structural equation modeling” and Hayes and Preacher’s (2014) model were used to mediate the analysis.

The study results revealed that consumer’s self-confidence (information acquisition confidence, persuasive knowledge confidence, personal outcome decision-making and market interface confidence) affect the information search and share the intention of consumers. Additionally, the presence of SK significantly and positively mediates this relationship.

This study intends to investigate the role of all practical aspects of consumer’s self-confidence in searching and sharing information by mediating the role of SK. Moreover, it used all the possible and useful dimensions, which were ignored by previous studies.

The purpose of this paper is to predict and optimize the width of heat affected zone (HAZ) with better mechanical properties using suitable welding process and parameters for the fabrication of jet blast deflector (JBD) (high strength low alloy material of grade A588-B was used for fabrication) so that the JBD can sustain high exhaust parameters, because there are different welding zones formed due to the rapid cooling of weld metals. Out of the various zones of welding, HAZ remains the weakest zone in the entire weldment.

The present work describes the modeling, simulation, Modeling of three-dimensional plate and mess generation process are carried out using ICEM CFD software. FLUENT 16.0 software is used for ANSYS simulation where various models are used for analysis and results are validated with the experimental outcomes. High strength low alloy plates are welded by using shielded metal arc welding and tungsten inert gas (TIG) welding processes with two different electrodes. Optical microscopy and scanning electron microscopy were used for metallurgical study. The mechanical properties were evaluated by tensile strength test, vickers microhardness test and impact test. The corrosion resistance was evaluated by performing the potentiodynamic polarization test.

The present study indicated for better mechanical properties and improved corrosion resistance for TIG welded joints with type 308 L filler.

In aeronautical, defense, space and research organizations.

It can be shown from the scanning electron microscope technique that sound weld joint is produced with very good mechanical properties and joint also showed better corrosion resistance.