Suchergebnisse

Purpose
This paper aims to find out the impact of seven important factors towards behavior intention on various health-care applications in India. The spectacular rise of uses of smart phones in India has introduced various mobile applications in the market. The mobile applications have become very useful and popular amongst the urban consumers due to several reasons such as reducing time, effort, money, etc. Health-care applications which are used in various smart phones are still in an infancy stage in India. Health-care applications have several advantages and facilities and consumers receive few alerts or suggestions for free. Though the health-care applications have various benefits for everyone, still people are less aware of the services they provide. Fewer studies have been done on this particular subject, and people may find the apps interesting if they understand the benefits of these applications.


Design/methodology/approach
This study aims to find out the impact of seven factors towards behavior intention on various health-care applications in India. The 331 samples have been chosen with the help of a structured questionnaire. The researcher has used stratified random sampling to collect the data for conducting the study, and the samples have been collected from four metro cities of India, namely, Kolkata, Mumbai, Delhi and Chennai. Exploratory factor analysis and multiple regression analysis have been conducted to find out the most influencing factor towards intention with SPSS v 21.


Findings
The result reveals that out of seven factors, perceived usefulness, enjoyment and time are the most influencing and significant factors towards utilization expectation. The other four variables, namely, cost, increased dependability, perceived ease of use and increased protection do not have a significant impact on the dependent variable. The paper has also revealed that marketers need to penetrate the market with some innovative marketing strategies. The findings of the study is providing the hint for implementing the strategies.


Originality/value
The study is unique in the context of a country like India where no such studies on this subject have been conducted before.

Mobile payment services are the most growing business in recent days and it is the most cost‐effective tool as well. This study aimed to explore the factors affecting the adoption of m‐payment services in emerging economies, which was attained by implementing the descriptive research design. Accordingly, the collection of 440 responses was carried out via the e‐mail method, wherein the respondents were selected by using the convenience sampling method. To this end, the research adapted the dimensions of UTAUT, ISS model, trust, and perceived security to examine one's adoption behavior toward mobile banking services. It was thus found that system quality yielded the strongest and significant influence on the intention to adopt, whereby the latter element served as a mediator and fully mediated the relationships between effort expectancy, facilitating conditions, and intention to recommend. Henceforth, the findings obtained in this study would aid industry practitioners in exploring pertinent strategies toward encouraging the adoption of mobile banking services not only among individuals but also for microentrepreneurs and SMEs. This is further achieved via the combination of the dimensions included in the UTAUT and ISS models along with the elements of trust and perceived security, thereby offering tremendous value addition to the existing literature. This particular study will further make several contribution toward mobile banking and mobile payment services related literature.

This study explores the factors that prevent citizens from using contact tracing apps (CTA). It uses the innovation resistance theory to construct a parsimonious data analysis model. Data are collected from 440 users of CTA, and an analysis using structural equation modeling is done. Moderation analysis is performed to measure the influence of trust on the relationship between independent and dependent variables. The results reveal that privacy concerns, functional complexity, and benefit ambiguity are the main factors causing hindrance in the adoption of CTAs. The study carries implications for public authorities and technology professionals for promoting and increasing the uptake of public‐oriented mass‐consumption technology.

AbstractWith one of the greatest turmoil in the world of work that has wreaked havoc on companies small and large, the global pandemic COVID‐19 is penning a new normative. Amidst such disruptions, employees are found to be floundering with tears, boredom, annoyance, and helplessness. With unparalleled challenges and uncertain prognosis, employees are unable to rebuild their power and thrive in alternative circumstances. This calls for an active effort on the part of organizations to embrace openness and discuss vividly what needs to be preserved, created, eliminated, or accepted. Deeper ties and inclusive approach of firms can amp up an employee's self‐worth. The current study reflected the essence of connectedness and oneness at times of crisis. Organizations can play a pivotal role in helping employees rise above the feeling of despair. Connecting with heart can sweep off the feeling of instability, bringing in a stream of positive emotions and experiences. The study draws a cross‐sectional data (n = 418) from employees working in various manufacturing and service companies of India to test the hypothesized framework. We have carried out SEM analysis through AMOS to understand the combined measurement model with mediation effects. The analytical results demonstrate that positive mindset fully and partially mediates between the drivers of heart work and resilience. The study reveals that the contributing factors of heart work significantly influences positive mindset of employees, which in turn has a positive association with resilience at work. One of the triggers of heart work—"Face the fear, fix fast" is found to be a strong and consistent predictor of positive mindset. Again, "Generate energy moments" another element of heart work stands to be a sharp predictor of resilience at work. The study also discusses varied implications that can enrich managerial effectuality in this crisis condition.

Organizations have long been experimenting with shortened workweeks. This study investigates the finer points that can make a four-day workweek efficacious. Though studies have revealed that the four-day workweek delivers well on productivity goals, extant literature has not yet examined the details of how to bring about a transformational change in employee performance as a result of the change. The current study empirically explores different nuanced factors that can translate a strategic vision into an achievable tactical plan, one that hones the skills and learning of employees. The present study takes into consideration psychological well-being as a possible moderator. A sample of 604 employees was taken from the service and manufacturing companies in India. Partial least squares structural equation modelling (PLS-SEM) has been used to analyse the inter relationships among the variables. The findings revealed that the following factors had a significant effect on the performance of employees practising the four-day workweek: 'strategic planning at work', 'viewing the company as a brand', 'continually connecting' and 'inspiring happiness at work'. The various implications of this study are discussed in depth in light of these findings.

Purpose
This study aims to extend existing theories and fills research gaps regarding the acceptance and use of new technologies by consumers by exploring the adoption of app-cab services in India. Through the application and comparison of a unified theory of acceptance and use of technology (UTAUT) and UTAUT 2/expanded-UTAUT (E-UTAUT) models, this paper empirically tests the relationships between important constructs related to technology adoption, acceptance and utilization in India's emerging economy.


Design/methodology/approach
In total, 612 responses to a questionnaire of active and regular users of app-cab services in India are examined. Path analysis and structural equation modeling presents interesting findings indicating that the expanded models have huge implications for the Indian app-cab industry.


Findings
This paper finds that the UTAUT 2/E-UTAUT models are a good fit for consumers and their behavior toward technology-based services. In particular, this study, one of the first of its kind, examines consumer acceptance and use behavior and identifies the factors that influence customer behavior with regard to new technology (app-cab services) in an emerging economy (India). Theoretical and practical implications are discussed.


Originality/value
Very few studies are available on app-cab adoption in emerging economies.