Bijith Marakarkandy, Nilay Yajnik and Chandan Dasgupta
The integration of relevant antecedents into TAM would lead to better understanding of the decision factors which act as enablers for the adoption of internet banking. The purpose…
Abstract
Purpose
The integration of relevant antecedents into TAM would lead to better understanding of the decision factors which act as enablers for the adoption of internet banking. The purpose of the paper is to determine the influence of the antecedents subjective norm, image, banks initiative, internet banking self-efficacy, internet usage efficacy, trust, perceived risk, trialability and government support on the existing constructs of the technology acceptance model (TAM) and to test measurement invariance and the moderating effect of the demographic variables on the relationship between the latent constructs used in this augmented TAM.
Design/methodology/approach
A survey questionnaire was administered on internet banking users and a total of 300 responses were collected. A two-step approach suggested by Hair et al. (2006) and Schumacker and Lomax (2004) was used in this study. The proposed model was assessed using the confirmatory factor analysis approach. The structural model was then tested in order to establish nomological validity. The data based on four demographic dimensions gender, age, income, education were divided into two groups for each of these demographic dimensions. The invariance test was first performed on the measurement model and then on the structural model. The measurement model and structural model were subjected to tests of equivalence of parameters across groups.
Findings
To a large extent the results of the study supports the proposed model and thereby contributes to understand the influence of subjective norm, image, banks initiative, internet banking self-efficacy, internet usage efficacy, trust, perceived risk and government support on internet banking adoption. The predictor variables in the augmented TAM were able to explain 29.9 per cent of the variance in the actual usage of internet banking as compared to the TAM which was able to explain only 26.5 per cent variance in the actual usage of internet banking. A significant difference in the relationship between the different constructs of the model was observed when the model was subjected to multi-group invariance testing.
Research limitations/implications
The study suffers from the same limitations as most other studies involving TAM. In this study self-reported measures about the usage were taken as the actual usage. The findings of the study can be of use to marketers for target-specific marketing by customizing the marketing campaign focussing on the factors that were found to be strong influencers leading to the usage of internet banking for each target audience.
Originality/value
The main challenge in this study was to develop the conceptual model for the internet banking adoption by extending the TAM and to get a robust theoretical support from the extant literature for the relevant factors along with their relationship to uncover new insights about factors responsible for the internet banking adoption. The augmented model had an improved predictive capability and explanatory utility.
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Dipak Damodar Gaikar, Bijith Marakarkandy and Chandan Dasgupta
– The purpose of this paper is to address the shortcomings of limited research in forecasting the power of social media in India.
Abstract
Purpose
The purpose of this paper is to address the shortcomings of limited research in forecasting the power of social media in India.
Design/methodology/approach
This paper uses sentiment analysis and prediction algorithms to analyze the performance of Indian movies based on data obtained from social media sites. The authors used Twitter4j Java API for extracting the tweets through authenticating connection with Twitter web sites and stored the extracted data in MySQL database and used the data for sentiment analysis. To perform sentiment analysis of Twitter data, the Probabilistic Latent Semantic Analysis classification model is used to find the sentiment score in the form of positive, negative and neutral. The data mining algorithm Fuzzy Inference System is used to implement sentiment analysis and predict movie performance that is classified into three categories: hit, flop and average.
Findings
In this study the authors found results of movie performance at the box office, which had been based on fuzzy interface system algorithm for prediction. The fuzzy interface system contains two factors, namely, sentiment score and actor rating to get the accurate result. By calculation of opening weekend collection, the authors found that that the predicted values were approximately same as the actual values. For the movie Singham Returns over method of prediction gave a box office collection as 84 crores and the actual collection turned out to be 88 crores.
Research limitations/implications
The current study suffers from the limitation of not having enough computing resources to crawl the data. For predicting box office collection, there is no correct availability of ticket price information, total number of seats per screen and total number of shows per day on all screens. In the future work the authors can add several other inputs like budget of movie, Central Board of Film Certification rating, movie genre, target audience that will improve the accuracy and quality of the prediction.
Originality/value
The authors used different factors for predicting box office movie performance which had not been used in previous literature. This work is valuable for promoting of product and services of the firms.
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Subhasis Dasgupta, Pinakpani Pal, Chandan Mazumdar and Aditya Bagchi
This paper provides a new Digital Library architecture that supports polyhierarchic ontology structure where a child concept representing an interdisciplinary subject area can…
Abstract
Purpose
This paper provides a new Digital Library architecture that supports polyhierarchic ontology structure where a child concept representing an interdisciplinary subject area can have multiple parent concepts. The paper further proposes an access control mechanism for controlled access to different concepts by different users depending on the authorizations available to each such user. The proposed model thus provides a better knowledge representation and faster searching possibility of documents for modern Digital Libraries with controlled access to the system.
Design/methodology/approach
Since the proposed Digital Library Architecture considers polyhierarchy, the underlying hierarchical structure becomes a Directed Acyclic Graph instead of a tree. A new access control model has been developed for such a polyhierarchic ontology structure. It has been shown that such model may give rise to undecidability problem. A client specific view generation mechanism has been developed to solve the problem.
Findings
The paper has three major contributions. First, it provides better knowledge representation for present-day digital libraries, as new interdisciplinary subject areas are getting introduced. Concepts representing interdisciplinary subject areas will have multiple parents, and consequently, the library ontology introduces a new set of nodes representing document classes. This concept also provides faster search mechanism. Secondly, a new access control model has been introduced for the ontology structure where a user gets authorizations to access a concept node only if its credential supports it. Lastly, a client-based view generation algorithm has been developed so that a client’s access remains limited to its view and avoids any possibility of undecidability in authorization specification.
Research limitations/implications
The proposed model, in its present form, supports only read and browse facilities. It would later be extended for addition and update of documents. Moreover, the paper explains the model in a single user environment. It will be augmented later to consider simultaneous access from multiple users.
Practical implications
The paper emphasizes the need for changing the present digital library ontology to a polyhierarchic structure to provide proper representation of knowledge related to the concepts covering interdisciplinary subject areas. Possible implementation strategies have also been mentioned. This design method can also be extended for other semantic web applications.
Originality/value
This paper offers a new knowledge management strategy to cover the gradual proliferation of interdisciplinary subject areas along with a suitable access control model for a digital library ontology. This methodology can also be extended for other semantic web applications.
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George Okello Candiya Bongomin, John C. Munene, Joseph Mpeera Ntayi and Charles Akol Malinga
The purpose of this paper is to establish the mediating role of collective action in the relationship between financial intermediation and financial inclusion of the poor in rural…
Abstract
Purpose
The purpose of this paper is to establish the mediating role of collective action in the relationship between financial intermediation and financial inclusion of the poor in rural Uganda.
Design/methodology/approach
The paper uses structural equation modeling (SEM) through bootstrap approach constructed using analysis of moment structures to test for the mediating role of collective action in the relationship between financial intermediation and financial inclusion of the poor in rural Uganda. Besides, the paper adopts Baron and Kenny’s (1986) approach to establish whether conditions for mediation by collective action exist.
Findings
The results revealed that collective action significantly mediates the relationship between financial intermediation and financial inclusion of the poor in rural Uganda. The findings further indicated that the mediated model had better model fit indices than the non-mediated model under SEM bootstrap. Furthermore, the results showed that both collective action and financial intermediation have significant and direct impacts on financial inclusion of the poor in rural Uganda. Therefore, the findings suggest that the presence of collective action boost financial intermediation for improved financial inclusion of the poor in rural Uganda.
Research limitations/implications
The study used quantitative data collected through cross-sectional research design. Further studies through the use of interviews could be adopted in future. Methodologically, the study adopted use of SEM bootstrap approach to establish the mediating effect of collective action. However, it ignored the Sobel’s test and MedGraph methods. Future studies could adopt the use of alternative methods of Sobel’s test and MedGraph. Additionally, the study focused only on semi-formal financial institutions. Hence, further studies may consider the use of data collected from formal and informal institutions.
Practical implications
Policy makers and managers of financial institutions should consider the role of collective action in promoting economic development, especially in developing countries. They should create structures and design financial services and products that promote collective action among the poor in rural Uganda.
Originality/value
Although several scholars have articulated financial inclusion based on both the supply and demand side factors, this is the first study to test the mediating role of collective action in the relationship between financial intermediation and financial inclusion of the poor in rural Uganda using SEM bootstrap approach. Theoretically, the study combines the role of collective action with financial intermediation to promote financial inclusion. Financial intermediation theory ignores the role played by collective action in the intermediation process between the surplus and deficit units.
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Hardo Firmana Given Grace Manik, Rossalina Christanti and Wahyu Setiawan
This study aims to examine the dynamics of traditional wayang kulit or shadow puppet knowledge management in a community-based enterprise (CBE) known as “Wisata Wayang” in…
Abstract
Purpose
This study aims to examine the dynamics of traditional wayang kulit or shadow puppet knowledge management in a community-based enterprise (CBE) known as “Wisata Wayang” in Wukirsari Village, Yogyakarta, Indonesia.
Design/methodology/approach
A qualitative case study was adopted, which allows the author to explore the dynamics or uniqueness of an event or cultural phenomenon more deeply.
Findings
The shadow puppet is an artefact of Javanese culture with rich life philosophy and wisdom. It guides people the pursuit of harmony with themselves, others, the universe and God. The success of knowledge management of the shadow puppet at CBE was supported by the high entrepreneurial orientation of the administrators. This study showed that entrepreneurial orientation should be extended into sociopreneurial with additional aspects, including preservation mission and communality, promoting the emergence of grassroots innovations. The knowledge of shadow puppet craft in this village is passed through nyantrik, also known as apprenticeship.
Originality/value
No previous research has explored the dynamics of traditional knowledge management in the context of CBE in Indonesia. As Indonesia has rich traditional knowledge from hundreds of tribes and prominent communal cultures, this study of community-based knowledge management contributes new insights in the knowledge management literature.