• The Impact of Online vs. Offline Acculturation on Purchase Intentions: A Multigroup Analysis of the Role of Education

      Kizgin, Hatice; Jamal, A.; Dwivedi, Y.K.; Rana, Nripendra P. (2020)
      The aim of this research is to determine the extent of online and offline acculturation preferences affecting purchase intentions within a minority ethnic community. This study investigates the role of social media as an agent in terms of how it influences acculturation and consumption. It also investigates the moderating role of education level. The findings highlight the significance of investigating language and friendship orientations and subsequent acculturation preferences. Empirical results confirm the impact of language and friendship orientations on enculturation/acculturation, which in turn impact purchase intentions. The results suggest differences among three groups in terms of their education level. The study discusses contribution to theory and provides future research directions, while offering useful practical implications for marketers.
    • The impact of social media on consumer acculturation: current challenges, opportunities, and an agenda for research and practice

      Kizgin, Hatice; Dey, B.L.; Dwivedi, Y.K.; Hughes, L.; Jamal, A.; Jones, P.; Kronemann, B.; Laroche, M.; Peñaloza, L.; Richard, M-O.; et al. (2020-04)
      The concept of acculturation has been based on the assumption of an adaptation process, whereby immigrants lose aspects of their heritage cultures in favour of aspects of a host culture (i.e. assimilation). Past research has shown that acculturation preferences result in various possibilities and influence consumption behaviour. However, the impact of social media on consumer acculturation is underexplored, although the social purpose and information sharing online is utilized for a variety of social purposes. Recent studies have shown the transformation from an offline to an online context, in which social networks play an integral part in immigrants’ communications, relationships and connections. This study merges the views from a number of leading contributors to highlight significant opportunities and challenges for future consumer acculturation research influenced by social media. The research provides insights into the impact of social media on consumer acculturation.
    • The impact of social networking sites on socialization and political engagement: Role of acculturation

      Kizgin, Hatice; Jamal, A.; Rana, Nripendra P.; Dwivedi, Y.K.; Weerakkody, Vishanth J.P. (2019-08)
      This research examines the extent to which immigrant consumers' use of social networking sites affect their socialization and political engagement in the Netherlands. The study uses self-administered questionnaires to collect data from 514 Turkish-Dutch respondents of various ages, occupations, levels of education and locations in the Netherlands. The study finds that the propensity to share information, the intensity of use, and privacy concerns positively impact socialization on online social networking sites. In addition, a significant positive relationship between socialization and political involvement positively impacts voting intentions. The study also examines the interaction effects of enculturation and acculturation orientations on the relationship between socialization and political involvement. The study's findings point to a positive moderating role of acculturation in this relationship but a negative one for enculturation. The study is the first to investigate simultaneously the drivers of socialization on social networking sites in the context of immigrant consumers and the impact of their socialization on political involvement and voting intention. The research further contributes to the scholarly work by exploring the interaction effects of acculturation and enculturation orientation. Theoretical and practical implications are discussed.
    • Indian Travellers’ Adoption of Airbnb Platform

      Tamilmani, Kuttimani; Rana, Nripendra P.; Nunkoo, R.; Raghavan, V.; Dwivedi, Y.K. (2020)
      Much of the existing scholarly debate on sharing economy to date has focused on the use of technology in developed countries. However, the recent upsurge of mobile technology adoption in developing countries has provided suitable breeding ground for sharing economy. The lack of native theories in tourism and hospitality sector with scare utilization of unified theory of acceptance and use of technology (UTAUT) provide necessity for this research. This study adapted meta-UTAUT model as theoretical lens and extended the model with hedonic motivation, trust, and self-efficacy. Based on data from 301 potential Indian consumers, the results underscored the central role of attitude that significantly mediated the effects of effort expectancy, social influence, and facilitating conditions on consumer intention to use Airbnb. Meanwhile, performance expectancy emerged as significant direct determinant of intention alongside attitude, trust, and self-efficacy. The proposed model explained as much as 65% variance on Indian consumer’s intention to use Airbnb.
    • Information systems project failure – analysis of causal links using interpretive structural modelling

      Hughes, D.L.; Dwivedi, Y.K.; Rana, Nripendra P.; Simintiras, A.C. (2016-12)
      The analysis of the root causes of information systems project failure has been the subject of intense scrutiny for some time within industry and the academic community. Researchers have developed various models, notions of failure and categorisations to succinctly classify project failure into a set of key factors for organisations and project managers to focus on in their attempts to avoid failure. This study incorporates a technique titled: interpretive structural modelling as the methodology to formalise the relationships between the selected failure factors. This approach is positioned as a mechanism that can yield greater insights into the relationships between the factors surrounding project failure, thereby developing a better understanding of how these relationships can have a bearing on project outcomes. The findings identify key driving variables that are presented as having significant impact on the other factors within the model. A number of variables are also identified as being heavily dependent on other connected factors highlighting that a failure in one or more of these connected factors is likely to result in a failure in one or more of the dependent factors unless timely steps are taken to address these key issues. This research details a number of practical implications for senior management and project managers as well as the academic community. These considerations form an underlying thread within this study as specific practice-related implications are highlighted and discussed throughout the study.
    • The Inherent Tensions within Sustainable Supply Chains: A Case Study from Bangladesh

      Shareef, M.A.; Dwivedi, Y.K.; Kumar, V.; Mahmud, R.; Hughes, D.L.; Kizgin, Hatice; Rana, Nripendra P. (Francis and Taylor, 2019)
      The complexities surrounding the supply chain logistics for perishable commodities within Bangladesh are extensive. Poor infrastructure, fragmented transportation and corruption compound the operational complexities within this emerging market. This case study analyses many of the day-to-day operational challenges and tensions inherent within Micro-Small-Medium Enterprises (MSMEs) forming the backbone of the Bangladesh socio-economic structure. The drive for transition toward greater levels of sustainability and corporate responsibility is problematic, affecting many levels within an extended and fragmented supply chain. The selected case study highlights the “lived in” geographical, environmental, economic and cultural factors that impact the ability of emerging market enterprises to remain profitable within emergency scenarios whilst transitioning toward a more sustainable model. This study, whilst detailing many of the tensions and critical issues facing MSMEs, highlights the benefits of direct Government intervention, criticality of a leaner and more efficient supply chain and reassessment of financial incentives to drive the transition to a more efficient and sustainable economy.
    • An integrated model for m-banking adoption in Saudi Arabia

      Baabdullah, A.M.; Alalwan, A.A.; Rana, Nripendra P.; Patil, P.; Dwivedi, Y.K. (2019-04-01)
      Purpose The purpose of this paper is to identify and examine the most important factors that could predict the Saudi customer’s continued intention towards adoption of mobile banking. Design/methodology/approach The proposed conceptual model was based on the technology acceptance model (TAM) and task-technology fit (TTF) model. This is also expanded by considering two additional factors: perceived privacy and perceived security. By using a self-administered questionnaire, the data were collected from a convenience sample of Saudi banking customers from different parts of Saudi Arabia. Findings The main results based on structural equation modelling analyses supported the impact of perceived privacy, perceived security, perceived usefulness and TTF on the customers’ continued intention to use mobile banking. Research limitations/implications The moderation influence of the demographic factors (i.e. age, gender, income level, educational level) was not tested. The data were also collected using a self-report questionnaire; however, it would be more accurate to utilise more statistics from the bank database about the users of m-banking. Originality/value This study represents a worthy attempt to test such novel technology (m-banking) in the KSA where there is a scarcity of literature. A considerable theoretical contribution was also made by integrating the TTF model with the TAM in addition to consider privacy and security in one single model. Moreover, considering both perceived privacy and security in the current model creates an accurate picture about the adoption of m-banking especially as there are a limited number of m-banking studies that have considered privacy and security alongside the TTF model and TAM in the same model.
    • Interpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: application of a big data technique

      Mishra, N.; Singh, A.; Rana, Nripendra P.; Dwivedi, Y.K. (2017-07)
      The food retailers have to make their supply chains more customer-driven to sustain in modern competitive environment. It is essential for them to assimilate consumer’s perception to improve their market share. The firms usually utilise customer’s opinion in the form of structured data collected from various means such as conducting market survey, customer interviews and market research to explore the interrelationships among factors influencing consumer purchasing behaviour and associated supply chain. However, there is abundance of unstructured consumer’s opinion available on social media (Twitter). Usually, retailers struggle to employ unstructured data in above decision-making process. In this paper, firstly, by the help of literature and social media Big Data, factors influencing consumer’s beef purchasing decisions are identified. Thereafter, interrelationships between these factors are established using big data supplemented with ISM and Fuzzy MICMAC analysis. Factors are divided as per their dependence and driving power. The proposed frameworks enable to enforce decree on the intricacy of the factors. Finally, recommendations are prescribed. The proposed approach will assist retailers to design consumer centric supply chain.
    • Investigating success of an e-government initiative: Validation of an integrated IS success model

      Rana, Nripendra P.; Dwivedi, Y.K.; Williams, M.D.; Weerakkody, Vishanth J.P. (2015-02)
      The purpose of this paper is to examine the success (by measuring intention to use and user satisfaction) of the online public grievance redressal system (OPGRS) from the perspective of the citizens of India. The success of this e-government system is examined using an integrated IS success model. The model developed includes the constructs such as system quality, information quality, service quality, perceived usefulness, perceived ease of use, perceived satisfaction, perceived risk, and behavioral intention. The proposed integrated research model of IS was validated using the response taken from 419 citizens from different cities of India. The empirical outcomes provided the positive significant connections between all 12 hypothesised relationships between eight constructs. The empirical evidence and discussion presented in the study can help the government to improve upon and fully utilise the potential of the OPGRS as a useful tool toward a transparent and corruption free country.
    • Involvement in emergency supply chain for disaster management: a cognitive dissonance perspective

      Dwivedi, Y.K.; Shareef, M.A.; Mukerji, B.; Rana, Nripendra P.; Kapoor, K.K. (2018-01)
      An integrated process, interlinked operation and interoperable communication network amongst operating agencies are critical for developing an effective disaster management supply chain. The traditional managerial problems observed across disaster management operations are: non-cooperation among members, disrupted chain of commands, misuse of relief items, lack of information sharing, mistrust and lack of coordination. This study aims to understand the issues affiliated with negative attitude towards disaster management operations using theory of cognitive dissonance. A qualitative investigation was undertaken across 64 districts in Bangladesh. Five constructs were examined for their influences on attitude and behavioural intention of members participating in government emergency supply chain for disaster management. The results indicate that administrative conflict, political biasness and professional growth have significant effects on attitude. Impact of insecurity is non-significant on attitude. This research offers substantial theoretical contribution to the cognitive dissonance theory in the context of disaster management supply chain.
    • The IT way of loafing in class: Extending the theory of planned behavior (TPB) to understand students’ cyberslacking intentions

      Rana, Nripendra P.; Slade, E.; Kitching, S.; Dwivedi, Y.K. (2019-12)
      Internet-enabled technologies can facilitate students' learning, engagement, and productivity but they also present challenges by way of distraction. Cyberslacking is the use of internet-enabled technologies by students in class for non-class related activities. This research attempts to understand the factors that influence students' cyberslacking intentions in class, through extending the Theory of Planned Behavior with lack of attention, apathy towards course material, distraction by others, perceived threat, and escapism. Quantitative data were collected (n = 188) using a survey method with undergraduate and postgraduate students from a management school in a British university. All eight proposed hypotheses were found to be supported. The findings indicated that constructs such as lack of attention, apathy towards course material, and distraction by others are significant predictors of attitude. Further, attitude, subjective norm, perceived behavioral control, perceived threat, and escapism were found to significantly influence students’ cyberslacking intentions.
    • Lockdown and Sustainability: An Effective Model of Information and Communication Technology

      Shareef, M.A.; Dwivedi, Y.K.; Wright, A.; Kumar, V.; Sharma, S.K.; Rana, Nripendra P. (2021-04)
      Covid-19, a corona virus, has maintained its momentum in spreading among communities. In this context of social crisis, this study seeks to identify the reasons for the partial failure to fulfill the intended goal of lockdown, and to formulate an inclusive behavioral model reflecting comprehensive human behavior and social psychology. In order to answer the research questions, this study has conducted extensive interviews among individuals who were targets of the lockdown system. From this exploratory and qualitative investigation, researchers have recognized four paradigms as the key to understanding human behavior and social psychology in violating lockdown as a social isolation system during this period of crisis. The identified parameters depicting social behavior are: Derogation and Argument (SDA), Tangible Need and Deficiency (TND), Intangible Desire and Expectancy (IDE), and Evaluation of Benefit and Loss (UBL). Finally, as a comprehensive guideline, a grounded theory of the social behavior ‘paradigm for lockdown violation (PLV)’ is explored as the reason for the violation of the social system.
    • Mapping IS failure factors on PRINCE2® stages: an application of Interpretive Ranking Process (IRP)

      Hughes, D.L.; Dwivedi, Y.K.; Rana, Nripendra P. (2017)
      The social, political and cultural issues faced by organisations and their senior management team in the delivery and adoption of strategic projects, is highly complex and problematic. Despite a mature body of literature, increasing levels of practitioner certification, application of standards and numerous government initiatives, improvements in success have been minimal. In this study, we analyse the key underlying factors surrounding the failure of Information Systems (IS) projects and explore the merits of articulating a narrative that focuses on senior management embracing practical pessimism. Specifically, we develop a hypothesis supported by empirical study that leverages expert’s views on the dominance and interrelationships between failure factors within PRINCE2® project stages using an Interpretive Ranking Process. Our findings establish how the concept of dominance between individual failure factors can necessitate senior management to make key informed and timely decisions that could potentially influence project outcomes based on an empirical derived, interpretive predictive framework.
    • A meta-analysis based modified unified theory of acceptance and use of technology (Meta-UTAUT): A review of emerging literature

      Dwivedi, Y.K.; Rana, Nripendra P.; Tamilmani, Kuttimani; Raman, R. (2020-12)
      Over the last more than four decades, several theoretical models have been developed to understand the acceptance and use of information systems. Realising the dilemma in selecting the appropriate theoretical model to assess the acceptance and use of technology and considering the pattern of using the Unified Theory of Acceptance and Use of Technology (UTAUT), a modified version (meta-UTAUT) has been developed based on the synthesis of results from 162 existing studies. The aim of this article is to review the emerging literature on meta-UTAUT and offer some future research recommendations. The analysis suggests that studies have started citing the relationships suggested by meta-UTAUT and researchers have reviewed it alongside other alternative models while analysing acceptance and use of technology.
    • A meta-analysis of existing research on citizen adoption of e-government

      Rana, Nripendra P.; Dwivedi, Y.K.; Williams, M.D. (2015-06)
      The purpose of this paper is to perform a weight-analysis and to undertake a meta-analysis of findings reported in published research on the adoption and diffusion of e-government. Usable data relating to e-government adoption research were collected from 103 empirical studies. Of those 103 articles, only 63 used a range of different constructs with appropriate correlation values required for performing a weight- and meta-analysis. Diagrammatic representation has been presented using significant as well as non-significant relationships from all 103 publications. A broader analysis of research on adoption and diffusion of e-government also reflects that although a large number of theories and theoretical constructs were borrowed from the reference disciplines, their utilization by e-government researchers appears to be largely random in approach. This paper also acknowledges the theoretical contribution, the limitations of this study, and suggests further research directions for the continued work.
    • A meta-analysis of the UTAUT model in the moblie banking literature: The moderating role of sample size and culture

      Jadil, Y.; Rana, Nripendra P.; Dwivedi, Y.K. (2021-08)
      In the last few years, several studies have examined the predictors of mobile banking (m-banking) adoption using the unified theory of acceptance and use of technology (UTAUT). However, contradictory results in some of the UTAUT relationships were found in the existing literature. Therefore, we aim to clarify and synthesize the empirical findings from the m-banking studies published since 2004 by conducting weight and meta-analysis with a focus on the UTAUT theory. We also seek to identify the roles of moderating variables on each UTAUT path. A total of 364 path coefficients from 127 studies were relevant for data analysis. CMA software V3 was employed to combine the effect sizes. All UTAUT relationships were found to be significant. Performance expectancy emerged as the strongest antecedent of usage intention. We also find that usage intention is the most critical predictor of use behavior. It was also revealed that sample size and culture significantly moderated the linkages between facilitating conditions and usage intention, effort expectancy and usage intention, and usage intention and use behavior. Theoretical contributions and managerial implications are also discussed toward the end.
    • A meta-analytic structural equation model for understanding social commerce adoption

      Dwivedi, Y.K.; Ismagilova, Elvira; Sarker, P.; Jeyaraj, A.; Jadil, Y.; Hughes, L. (2021)
      Social commerce (s-commerce) has gained prominence with advances in social media and social networking technologies over the last decade. Prior research has employed diverse theoretical perspectives to understand and explain consumer behavior within s-commerce but has also produced inconsistent results. This study integrates different theoretical perspectives including trust, social support, and social presence. The research portrays an integrated research model involving factors that impact behavioral intention and use behavior of s-commerce consumers whilst synthesizing prior empirical findings. A meta-analytic structural equation modeling (MASEM) method was used to synthesize 189 findings reported in 68 s-commerce studies and to analyze the structural model. Our findings show that trust and informational support have positive effects on behavioral intention while trust and emotional support have positive effects on use behavior. Furthermore, our findings highlight that behavioral intention influences use behavior and mediates the effect of trust and informational support on use behavior. The implications for research and practice are discussed in detail.
    • A methodological critique of the Interpretive Ranking Process for examining IS project failure

      Hughes, L.; Dwivedi, Y.K.; Rana, Nripendra P. (2020)
      This research critically analyzes the Interpretive Ranking Process (IRP) using an illustrative empirically derived IS project failure related case study to articulate a deeper understanding of the method. The findings emphasize the suitability of the method for a number of practical applications, but also highlight the limitations for larger matrix sized problems. The IRP process to derive the dominance between IS project failure factors is judged to be methodical and systematic, enabling the development of clear dominating interactions.
    • Multi-modal Aggression Identification Using Convolutional Neural Network and Binary Particle Swarm Optimization

      Kumari, K.; Singh, J.P.; Dwivedi, Y.K.; Rana, Nripendra P. (2021-05)
      Aggressive posts containing symbolic and offensive images, inappropriate gestures along with provocative textual comments are growing exponentially in social media with the availability of inexpensive data services. These posts have numerous negative impacts on the reader and need an immediate technical solution to filter out aggressive comments. This paper presents a model based on a Convolutional Neural Network (CNN) and Binary Particle Swarm Optimization (BPSO) to classify the social media posts containing images with associated textual comments into non-aggressive, medium-aggressive and high-aggressive classes. A dataset containing symbolic images and the corresponding textual comments was created to validate the proposed model. The framework employs a pre-trained VGG-16 to extract the image features and a three-layered CNN to extract the textual features in parallel. The hybrid feature set obtained by concatenating the image and the text features were optimized using the BPSO algorithm to extract the more relevant features. The proposed model with optimized features and Random Forest classifier achieves a weighted F1-Score of 0.74, an improvement of around 3% over unoptimized features.
    • Narcissism, interactivity, community, and online revenge behavior: The moderating role of social presence among Jordanian consumers

      Obeidat, Z.M.; Algharabat, R.S.; Alalwan, A.A.; Xiao, S.H.; Dwivedi, Y.K.; Rana, Nripendra P. (2020-03)
      This study tests the effect of personal and online characteristics on consumers' desire for revenge and their online revenge intentions. In light of the interactivity and community of social media platforms, it examines the notion that narcissism and social presence will increase consumers' desire for revenge and their online revenge intentions after a service failure. Based on a sample of 317 Jordanian consumers, the data analysis shows that the model has a very good fit and that narcissism, interactivity, and community significantly influenced consumers’ desire for revenge. Social presence was found to have a moderating influence on the relationship between the desire for revenge and online revenge intentions. Implications for marketing managers are also discussed.