• Citizen's adoption of an e-government system: Validating the extended theory of reasoned action (TRA)

      Alryalat, M.A.A.; Rana, Nripendra P.; Dwivedi, Y.K. (2015-10)
      The study explores the adoption of an electronic government (e-government) system called online PAN card registration system (OPCRS) in context of India. The study validates the extended theory of reasoned action (TRA) to understand the impact of some of its factors on the citizen's intention to adopt this system. The proposed research model is extended with the variables including perceived usefulness, perceived trust, and self-efficacy as antecedents of attitude and subjective norm, which are the core constructs of the TRA. The eight hypotheses were formulated between six constructs of the proposed extended TRA. The proposed research model is validated using the usable sample of data gathered from 377 respondents. The data was analysed using AMOS 22.0. The empirical findings of the proposed research model indicated the significant relationships of all proposed hypotheses. The study also provides its limitations, future research directions, and implications for theory and practice toward the end.
    • Citizens’ adoption of an electronic government system: towards a unified view

      Rana, Nripendra P.; Dwivedi, Y.K.; Lal, B.; Williams, M.D.; Clement, M. (2017-06)
      Sluggish adoption of emerging electronic government (eGov) applications continues to be a problem across developed and developing countries. This research tested the nine alternative theoretical models of technology adoption in the context of an eGov system using data collected from citizens of four selected districts in the state of Bihar in India. Analysis of the models indicates that their performance is not up to the expected level in terms of path coefficients, variance in behavioural intention, or the fit indices of the models. In response to the underperformance of the alternative theoretical models to explain the adoption of an eGov system, this research develops a unified model of electronic government adoption and tests it using the same data. The results indicate that the proposed research model outperforms all alternative models of technology adoption by explaining 77 % of variance in behavioural intention, with acceptable values of fit indices and significant relationships between each pair of hypothesised factors.
    • Consumer acceptance and use of information technology: A meta-analytic evaluation of UTAUT2

      Tamilmani, Kuttimani; Rana, Nripendra P.; Dwivedi, Y.K. (2021-08)
      Despite being regarded as the most comprehensive theory in understanding individual technology adoption – UTAUT2 theory with growing number of citations and impetus beyond IS domain face strong criticism on usage of the model in its entirety. This study located UTAUT2 based empirical studies in the Scopus and Web of Science bibliographic database through citied reference search in order to evaluate appropriate usage of UTAUT2 constructs. The meta-analysis results spanning across 60 studies with more than 122,000 cumulative observations found BI→UB as the strongest path with all significant values. PE→BI emerged as the most utilized path with most significant values underscoring the emphasis placed by consumers on utilitarian value. Meanwhile, with most non-significant path values the future usage of EE→BI path is been cautioned and questioned. Finally, trust, personal innovativeness, perceived risk, attitude, and self-efficacy were found as the five topmost UTAUT2 extensions.
    • Consumer adoption of internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust

      Alalwan, A.; Dwivedi, Y.K.; Rana, Nripendra P.; Lal, B.; Williams, M.D. (2015-06-02)
      Despite the rapid growth of Internet banking (IB), customers in developing countries still hesitate to adopt this technology and its use in the Middle East remains low. This study aims to identify and examine the factors that predict behavioural intention and adoption of IB in Jordan. Four factors – hedonic motivation, habit, self-efficacy and trust – are proposed in a conceptual model. Data was collected by means of a survey with bank customers in Jordan. Structural equation modelling (SEM) was used to analyse the data. The results strongly supported the conceptual model. Further, hedonic motivation, habit, self-efficacy and trust were all confirmed to have a significant influence on behavioural intention. Trust was found to be strongly predicted by both hedonic motivation and self-efficacy. This study provides both academics and practitioners with an insight into the factors that can be used to encourage customer adoption of IB specifically in a Middle East context.
    • Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy

      Alalwan, A.; Dwivedi, Y.K.; Rana, Nripendra P.; Williams, M.D. (2016-02-08)
      The purpose of this paper is to propose and examine a conceptual model that best explains the key factors influencing Jordanian customers' intention to adopt mobile banking (MB). Design/methodology/approach – The proposed conceptual model was based on the Technology Acceptance Model (TAM). This was extended by adding perceived risk and self-efficacy as an external factors. Structural equation modelling (SEM) was conducted to analyse the data collected from the field survey questionnaires administered to a convenience sample of Jordanian banking customers. Findings – The results showed that behavioural intention is significantly influenced by perceived usefulness, perceived ease of use, and perceived risk. Research limitations/implications – Practical and theoretical implications for both Jordanian banks and researchers in the MB context are also discussed in the concluding section. Originality/value – MB-related issues are yet to be examined empirically in the Jordanian context. This submission has attempted to fill this gap by empirically examining some of the important factors influencing the adoption of MB from the Jordanian customers’ perspective.
    • Consumer Adoption of Self-Service Technologies in the Context of the Jordanian Banking Industry: Examining the Moderating Role of Channel Types

      Baabdullah, A.M.; Rana, Nripendra P.; Alalwan, A.A.; Islam, R.; Patil, P.; Dwivedi, Y.K. (2019)
      This study aimed to examine the key factors predicting Jordanian consumers’ intentions and usage of three types of self-service banking technologies. This study also sought to test if the impacts of these main predictors could be moderated by channel type. This study proposed a conceptual model by integrating factors from the unified theory of acceptance and use of technology (UTAUT), along with perceived risk. The required data were collected from a convenience sample of Jordanian banking customers using a survey questionnaire. The statistical results strongly support the significant influence of performance expectancy, social influence, and perceived risk on customer intentions for the three types of SSTs examined. The results of the X2 differences test also indicate that there are significant differences in the influence of the main predictors due to the moderating effect of channel type. One of the key contributions of this study is that three types of SSTs were tested in a single study, which had not been done before, leading to the identification of the factors common to all three types, as well as the salient factors unique to each type.
    • Consumer behaviour in the context of SMS-based marketing

      Shareef, M.A.; Dwivedi, Y.K.; Rana, Nripendra P. (2015)
      Given the potential benefits such as time and location-based advertisements, the scope of interactivity and customisation through one-to-one target marketing, SMS-based (Short Messaging Service) advertisement, is now being considered as an important alternative marketing channel. This has raised a real challenge for marketers to harness the potential of this alternative channel by overcoming several limiting issues such as security, privacy, authenticity, and irritation of unknown senders. The main objective of this study is to identify and review relevant research issues faced by wireless marketing (particularly via SMS-based advertisement) as an aide to identify potential research gaps and for developing future guiding principles. The review and analysis of literature suggest that there is scope of undertaking further research on issues related to different cultures reflecting ubiquitous traits of mobile phone, SMS advertisement, market segmentation, location and time sensitive delivery, content and context of advertisement, language and appropriate delivery.
    • Consumer Mobile Shopping Acceptance Predictors and Linkages: A Systematic Review and Weight Analysis

      Tamilmani, Kuttimani; Rana, Nripendra P.; Dwivedi, Y.K.; Kizgin, Hatice (Springer, 2020-04)
      Mobile phones have become an integral part of human lives with majority of people using them to access product and services for their day-today needs. However, mobile shopping adoption across the globe is not wide or fast as expected. In addition, the research is very scant in understanding various predictors of consumer adoption towards mobile shopping. The objective of this study is to identify most significant and non-significant predictors of consumer mobile shopping acceptance. Systematic review and weight analysis on 34 mobile shopping studies revealed researchers mostly employed TAM and UTAUT model as theoretical lens. This study found an interesting revelation that extrinsic motivation variables such as social influence and perceived usefulness determine consumer mobile shopping behavioral intention during early stages. However, in later stages intrinsic motivation variables such as satisfaction and trust play crucial role to emerge as best and promising predictor of consumer continuous intention respectively.
    • A deep multi-modal neural network for informative Twitter content classification during emergencies

      Kumar, A.; Singh, J.P.; Dwivedi, Y.K.; Rana, Nripendra P. (2020)
      People start posting tweets containing texts, images, and videos as soon as a disaster hits an area. The analysis of these disaster-related tweet texts, images, and videos can help humanitarian response organizations in better decision-making and prioritizing their tasks. Finding the informative contents which can help in decision making out of the massive volume of Twitter content is a difficult task and require a system to filter out the informative contents. In this paper, we present a multi-modal approach to identify disaster-related informative content from the Twitter streams using text and images together. Our approach is based on long-short-term-memory (LSTM) and VGG-16 networks that show significant improvement in the performance, as evident from the validation result on seven different disaster-related datasets. The range of F1-score varied from 0.74 to 0.93 when tweet texts and images used together, whereas, in the case of only tweet text, it varies from 0.61 to 0.92. From this result, it is evident that the proposed multi-modal system is performing significantly well in identifying disaster-related informative social media contents.
    • Developing a modified total interpretive structural model (M-TISM) for organizational strategic cybersecurity management

      Rajan, R.; Rana, Nripendra P.; Parameswar, N.; Dhir, S.; Sushil; Dwivedi, Y.K. (2021-05)
      Cybersecurity is a serious issue that many organizations face these days. Therefore, cybersecurity management is very important for any organization. Organizations should learn to deal with these cyber threats through effective management across all business functions. The main purpose of this study is to identify the factors that affect cybersecurity within an organization and analyze relationships among these factors. The modified total interpretive structural modeling (M-TISM) technique is used to build a hierarchical model and define the common interactions between the factors. This study presents the impact of collaboration, training, resources and capabilities, information flow, technology awareness, and technological infrastructure on effective cybersecurity management. In addition, the study also explains the interrelationships among the identified factors in the M-TISM model.
    • Digital payments adoption research: A meta-analysis for generalising the effects of attitude, cost, innovativeness, mobility and price value on behavioural intention

      Patil, P.P.; Rana, Nripendra P.; Dwivedi, Y.K. (2019-01)
      The rapid evolution of mobile-based technologies and applications has led to the development of several different forms of digital payment methods (DPMs) but with limited enthusiasm in consumers for adopting them. Hence, several academic studies have already been conducted to examine the role of various antecedents that determines consumers’ intention to adopt DPMs. The degree of effect and significance of several antecedents found to be inconsistent across different studies. This provided us a basis for undertaking a meta-analysis of existing research for estimating the cumulative effect of such antecedents. Therefore, this study aims to perform a meta-analysis of five antecedents (i.e. attitude, cost, mobility, price value and innovativeness) for confirming their overall influence on intentions to adopt DPMs. The results of this study suggest that the cumulative effect of four out of five antecedents found to be significant while influence of price value was found insignificant on behavioural intentions. The recommendations drawn from this research would help to decide if and when to use such antecedents for predicting consumer intention to adopt DPMs.
    • Digital payments adoption research: A review of factors influencing consumer’s attitude, intention and usage

      Patil, P.P; Rana, Nripendra P.; Dwivedi, Y.K. (2018-01)
      Digital payment methods (DPMs) are evolving fast but they are yet to be widely adopted particularly in the developing countries. An initial review of literature suggests that several studies have already been conducted on this topic for understanding antecedents of digital payments adoption. However, only a few studies have examined this emerging topic in the context of developing countries. The aim of this submission is to identify antecedents of consumer adoption and usage of digital payments methods. The results of this literature analysis suggest that constructs related to technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) along with trust and risk are the most frequently examined constructs for determining consumer’s behavioural intention to use and usage of DPMs. The findings from this work can help researchers selecting factors for inclusion in the future empirical works on this topic.
    • Disaster management in Bangladesh: developing an effective emergency supply chain network

      Shareef, M.A.; Dwivedi, Y.K.; Mahmud, R.; Wright, A.; Rahman, Mushfiqur M.; Kizgin, Hatice; Rana, Nripendra P. (2018-10)
      This study has addressed and identified the problems in managing the existing emergency supply chain of Bangladesh in all phases of operation in terms of the primary drivers of the supply chain. It has also attempted to conceptualize and suggest an effective emergency supply chain. In this context, a thorough field investigation in several districts was conducted among the employees of the organizations sharing common information with similar protocols and implications (interoperable). Information was collected from the employees of all the participating organizations involved in disaster management through a semi-structured questionnaire based survey. The respondents addressed and illustrated several interconnected reasons which are inhibiting proper forecasting, procurement, storage, identification of affected people, and distribution. The respondents pointed out that the mismatching of objectives in the different organizations resulted in non-interoperability among the participating organizations. These issues are related to the malfunctioning of management with multidimensional organizational conflicts. Reflecting those issues, an emergency supply chain for disaster management is proposed in this study
    • Driving Innovation through Big Open Linked Data (BOLD): Exploring Antecedents using Interpretive Structural Modelling

      Dwivedi, Y.K.; Janssen, M.; Slade, E.L.; Rana, Nripendra P.; Weerakkody, Vishanth J.P.; Millard, J.; Hidders, J.; Snijders, D. (2016)
      Innovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates new opportunities for innovation. However, none of the existing literature has yet considered the interrelationships between antecedents of innovation through BOLD. This research contributes to knowledge building through utilising interpretive structural modelling to organise nineteen factors linked to innovation using BOLD identified by experts in the field. The findings show that almost all the variables fall within the linkage cluster, thus having high driving and dependence powers, demonstrating the volatility of the process. It was also found that technical infrastructure, data quality, and external pressure form the fundamental foundations for innovation through BOLD. Deriving a framework to encourage and manage innovation through BOLD offers important theoretical and practical contributions.
    • Editorial introduction: Advances in theory and practice of digital marketing

      Dwivedi, Y.K.; Rana, Nripendra P.; Slade, E.L.; Singh, N.; Kizgin, Hatice (2019-03)
      This special issue of the Journal of Retailing and Consumer Services aims to bring together a variety of disciplines and a scholarly community for the advancement of knowledge regarding practice and research related to digital and social media marketing. Accordingly, the special issue includes papers using a variety of theories, research methods, contexts, and conceptualizations to enrich our understanding of digital and social media marketing from consumer and practitioner perspectives. The thirteen articles accepted for inclusion in this special issue are summarised in this editorial introduction.
    • The effect of characteristics of source credibility on consumer behaviour: a meta-analysis

      Ismagilova, Elvira; Slade, E.; Rana, Nripendra P.; Dwivedi, Y.K. (2020-03)
      The aim of this research is to synthesise findings from existing studies on the characteristics of source credibility of electronic word of mouth (eWOM) communications in a single model by using meta-analysis. Findings from 20 research papers show that source expertise, trustworthiness, and homophily significantly influence perceived eWOM usefulness and credibility, intention to purchase, and information adoption. The results of this study add to existing knowledge of the influence of source characteristics on consumer behaviour, which will advance our understanding of information processing. Marketers can use the findings of this meta-analysis to enhance their marketing activities.
    • The effect of electronic word of mouth communications on intention to buy: A meta-analysis

      Ismagilova, Elvira; Slade, E.L.; Rana, Nripendra P.; Dwivedi, Y.K. (2020)
      The aim of this research is to synthesise findings from previous studies by employing weight and meta-analysis to reconcile conflicting evidence and draw a “big picture” of eWOM factors influencing consumers’ intention to buy. By using the findings from 69 studies, this research identified best (e.g. argument quality, valence, eWOM usefulness, trust in message), promising (e.g. eWOM credibility, emotional trust, attitude towards website) and least effective (e.g. volume, existing eWOM, source credibility) predictors of intention to buy in eWOM research. Additionally, the effect size of each predictor was calculated by performing meta-analysis. For academics, understanding what influences consumers’ intention to buy will help set the agenda for future research directions; for practitioners, it will provide benefit in terms of practical guidance based on detailed analysis of specific factors influencing consumers’ intention to buy, which could enhance their marketing activities.
    • The effect of telepresence, social presence and involvement on consumer brand engagement: An empirical study of non-profit organizations

      Algharabat, R.; Rana, Nripendra P.; Dwivedi, Y.K.; Alawan, A.; Qasem, Z. (2018-01)
      Although there are several marketing implications that have been considered in the context of social media marketing, less attention has been paid to the influence of antecedents of consumer brand engagement (telepresence, social presence and involvement) and their consequences for non-profit organizations. Thus, the main purpose of current research is to examine the influence of telepresence, social presence and involvement on consumer brand engagement (CBE) (second-order), which in turn affects electronic word of mouth and willingness to donate. To test the proposed model, this paper used social media platforms. We employed a Facebook page that presents non-profit organizations (brands) using a sample of non-students. We found that telepresence, social presence and involvement positively impact CBE, which in turn impacts electronic word of mouth and willingness to donate. The findings of our research demonstrate how CBE is formed in this particular context and what outcomes are to be expected, with important implications for both marketing theory and practice.
    • Electronic Word of Mouth (eWOM) in the marketing context: A state of the art analysis and future directions

      Ismagilova, Elvira; Dwivedi, Y.K.; Slade, E.; Williams, M. (Springer International Publishing, 2017)
      This SpringerBrief offers a state of the art analysis of electronic word-of-mouth (eWOM) communications and its role in marketing. The book begins with an overview of traditional word-of-mouth (WOM) and its evolution to eWOM. It discusses the differences between traditional and online WOM. The book examines why people engage in eWOM communications, but also how consumers evaluate its persuasiveness. It also looks at the effects of eWOM. The book identifies current gaps in the eWOM research, but also highlights future directions for this growing field. eWOM is an important marketing technique in brand communications, and it plays an important role in modern e-commerce. Marketers become extremely interested in enhancing the power of eWOM developing loyalty programs and building brands. Studying the effect of eWOM can be beneficial for companies. This book should be a good resource for scholars and practitioners that need to understand the pervasive effects of eWOM.
    • Elucidation of IS project success factors: an interpretive structural modelling approach

      Hughes, D.L.; Rana, Nripendra P.; Dwivedi, Y.K. (2020-02)
      This study extends the debate surrounding the components of IS project success by reviewing success factors from the perspective of their interdependency and influence on each other. This research utilises interpretive structural modelling as the methodology and framework to develop the relationships between the selected factors. This approach is presented as a mechanism that can provide greater insight to the underlying causal interrelationships associated with IS project success and the successful transition to operations. The findings identify a number of key outcomes that have significant driving influence on other interconnected factors in the final model. This study highlights the benefits of an interpretive approach where IS factor interrelationships can be modelled to demonstrate potential influence on other connected factors thereby, increasing the chances of project success.