• Assessing consumers’ co-production and future participation on value co-creation and business benefit: An F-P-C-B model perspective

      Chatterjee, S.; Rana, Nripendra P.; Dwivedi, Y.K. (2021)
      Co-production and active participation of the consumers are considered to have enhanced the value co-creation activities that would ensure business benefits of a firm. The marketing literature available does not explicitly explain the philosophy that would motivate the consumers to help to increase values for co-creation activities. In this context, attempts have been made to identify the factors that would impact on co-production and consumers’ participation to co-create values. By studying literature and theories such as theory of co-creation, theory of value creation, information processing theory, marketing theory and expectancy value theory, a conceptual model called F-P-C-B (Future Participation (F) - Co-production (P) - Co-creation (C) - Business Benefit (B)) has been developed along with nine hypotheses. The data was from 362 respondents in India and the model was tested using PLS based analysis. The study shows that it is important for the firms to shift from product-oriented activities to customer-related strategies. It is also found that for obtaining more profitability and better business results, customers should be involved in business activities by way of involving in co-design, idea generation, and other relevant activities of the firms. Moreover, the study highlights that knowledge sharing between the customers and the firm authorities ensures better business values.
    • How does business analytics contribute to organisational performance and business value? A resource-based view

      Chatterjee, S.; Rana, Nripendra P.; Dwivedi, Y.K. (2021)
      Purpose – The purpose of this article is to identify how the organisations are able to improve their business value through acquisition of business analytics capabilities and by improving their performance. Design/Methodology/Approach – With the help of literature survey, along with standard resource-based view framework, a conceptual model has been developed. These have been statistically tested by collecting the data using the survey questionnaire from 306 selected respondents from various service sector and product based organisations in India. To analyse the data we have used partial least square based structural equation modelling. Findings – The study highlights that by the help of data acquisition and tool acquisition as two vital components, the acquisition of business analytics capabilities could improve the business value of the organisation by strengthening its organisational performance. The findings of this research also indicated that acquisition of business analytics capabilities has a significant influence on organisation’s business process performance and business decision, which in turn significantly influence organisational performance. And, organisational performance eventually positively influences its business value. The model was found to provide an explanative power of 71%. Research Implication – The proposed research model can provide effective recommendations to the management of the organisations to realise the importance of acquisition of effective business analytics capabilities to eventually improve the business value of the organisation. Originality/Value – No specific studies, as yet, have analysed the effects of acquisition of business analytics capabilities for improving organisational performance mediated through business process performance and business decision. Therefore, this research has explored the distinctive effort to empirically validate this understanding.
    • Prevention of cybercrimes in smart cities of India: from a citizen's perspective

      Chatterjee, S.; Kar, A.K.; Dwivedi, Y.K.; Kizgin, Hatice (2019-10)
      Purpose: The purpose of this paper is to identify the factors influencing the citizens of India to prevent cybercrimes in the proposed Smart Cities of India. Design/methodology/approach: A conceptual model has been developed for identifying factors preventing cybercrimes. The conceptual model was validated empirically with a sample size of 315 participants from India. Data were analyzed using structural equation modeling with SPSS and AMOS softwares. Findings: The study reveals that the “awareness of cybercrimes” significantly influences the actual usage of technology to prevent cybercrimes in Smart Cities of India. The study reveals that government initiative (GI) and legal awareness are less influential in spreading of the awareness of cybercrimes (AOC) to the citizens of the proposed smart cities. Research limitations/implications: The conceptual model utilizes two constructs from the technology adoption model, namely, perceived usefulness and ease of use. The study employs other factors such as social media, word of mouth, GIs, legal awareness and organizations constituting entities spreading awareness from different related literature works. Thereby, a comprehensive theoretical conceptual model has been proposed which helps to identify the factors that may help in preventing cybercrimes. Practical implications: This study provides an insight to the policy maker to understand several factors influencing the AOC of the citizens of the proposed Smart Cities of India for the prevention of cybercrimes. Originality/value: There are few existing studies analyzing the effect of AOC to mitigate cybercrimes. Thus, this study offers a novel contribution.
    • Social Media as a Tool of Knowledge Sharing in Academia: An Empirical Study using Valance, Instrumentality and Expectancy (VIE) Approach

      Chatterjee, S.; Rana, Nripendra P.; Dwivedi, Y.K. (2020)
      Purpose – The purpose of this paper is to understand the factors that determine the knowledge exchange intention and behavioural nature of academics by the help of social media tools in the Indian higher education. Design/Methodology/Approach – This study has used Valance – Instrumentality – Expectancy (VIE) theory to determine the knowledge exchange behaviour of academics. The study has considered the effect of Knowledge Contributor (KC) and Knowledge Seeker (KS) as moderators. The model has been validated by using a survey with 320 usable respondents. Findings – The results highlight that if the stakeholders of higher education institutions feel the deficits of knowledge exchange, they realise importance of knowledge sharing and use social media to increase effect of knowledge exchange. Besides, perceived usefulness impacts on the use of social media for knowledge exchange by the concerned stakeholders. Moreover, it is observed that experience of the use of social media impacts the use of this tool for knowledge exchange. Theoretical Implication – The use and application of VIE theory has successfully been able to interpret the factors affecting the use of social media for knowledge exchange in the higher education institutions. The use of VIE theory has also been able to explain the proposed model better as the model could achieve a high explanative power (87%). Practical Implication – This study has provided meaningful insights to the practitioners or policymakers to realise how the stakeholders of the higher education institutions in India can be motivated to feel the need of sharing of knowledge and how they can use the social media with ease for this purpose. Originality/Value – Not much research has been conducted with regards to the usage of social media as a tool for knowledge sharing in higher education sector in India. In that sense, this study is a novel attempt to undertake such research.
    • Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model

      Chatterjee, S.; Rana, Nripendra P.; Dwivedi, Y.K.; Baabdullah, A.M. (2021-09)
      This study aims to identify how environmental, technological, and social factors influence the adoption of Industry 4.0 in the context of digital manufacturing. The Industry 4.0 era has brought a breakthrough in advanced technologies in fields such as nanotechnology, quantum computing, biotechnology, artificial intelligence, robotics, the Internet of Things, fifth-generation wireless technology, fully autonomous vehicles, 3D printing and so on. In this study, we attempted to identify the socioenvironmental and technological factors that influence the adoption of artificial intelligence embedded technology by digital manufacturing and production organizations. In doing so, the extended technology-organization-environment (TOE) framework is used to explore the applicability of Industry 4.0. A conceptual model was proposed that used an integrated technology acceptance model (TAM)-TOE model and was tested using survey-based data collected from 340 employees of small, medium and large organizations. The results highlight that all the relationships, except organizational readiness, organizational compatibility and partner support on perceived ease of use, were found to be significant in the context of digital manufacturing and production organizations. The results further indicated that leadership support acts as a countable factor to moderate such an adoption.