Now showing items 1-20 of 897

    • Unconditional quantile regression analysis of UK inbound tourist expenditures

      Sharma, Abhijit; Woodward, R.; Grillini, Stefano (2020-01)
      Using International Passenger Survey (2017) data, this paper employs unconditional quantile regression (UQR) to analyse the determinants of tourist expenditure amongst inbound tourists to the United Kingdom. UQR allows us to estimate heterogeneous effects at any quantile of the distribution of the dependent variable. It overcomes the econometric limitations of ordinary least squares and quantile regression based estimates typically used to investigate tourism expenditures. However, our results reveal that the effects of our explanatory variables change across the distribution of tourist expenditure. This has important implications for those tasked with devising policies to enhance the UK’s tourist flows and expenditures.
    • Perspectives on the future of manufacturing within the Industry 4.0 era

      Hughes, L.; Dwivedi, Y.K.; Rana, Nripendra P.; Williams, M.D.; Raghaven, V. (2020)
      The technological choices facing the manufacturing industry are vast and complex as the industry contemplates the increasing levels of digitization and automation in readiness for the modern competitive age. These changes broadly categorized as Industry 4.0, offer significant transformation challenges and opportunities, impacting a multitude of operational aspects of manufacturing organizations. As manufacturers seek to deliver increased levels of productivity and adaptation by innovating many aspects of their business and operational processes, significant challenges and barriers remain. The roadmap toward Industry 4.0 is complex and multifaceted, as manufacturers seek to transition toward new and emerging technologies, whilst retaining operational effectiveness and a sustainability focus. This study approaches many of these significant themes by presenting a critical evaluation of the core topics impacting the next generation of manufacturers, challenges and key barriers to implementation. These factors are further evaluated via the presentation of a new Industry 4.0 framework and alignment of I4.0 themes with the UN Sustainability Goals.
    • 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.
    • Self identity and internal environmental locus of control: Comparing their influences on green purchase intentions in high-context versus low-context cultures

      Patel, J.D.; Trivedi, Rohitkumar; Yagnik, A. (2020-03)
      This study empirically examines the combined effect of two crucial internal consumer predispositions, self-identity (SI) and internal environmental locus of control (INELOC), among consumers in a collectivistic culture and an individualistic culture. The study validated the extended theory of planned behaviour to predict consumers' green purchase intentions. Structural equation modelling was used to analyse primary data collected from 365 American and 408 Indian respondents. Analysis revealed differences between the two cultures. Green self-identity influenced attitude more than perceived behavioural control among American consumers, while the reverse was true for Indian consumers. Conversely, INELOC positively and significantly affected only Indian consumers’ perceived behavioural control, not that of American consumers.
    • 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.
    • Social media engagement of stakeholders: A decision tree approach in container shipping

      Surucu Balci, Ebru; Balci, G.; Yuen, K.F. (2020-02)
      Social media provides a significant avenue for stakeholder engagement which is crucial to ensure loyalty and satisfaction of stakeholders who possess valuable resources that can influence the business outcomes. Container lines – imperative members of global supply chains and facilitators of international trade – utilize social media to engage their stakeholders due to environmental and commercial complexity of their business. However, not all social media posts generate the same amount of stakeholder engagement. This study aims to identify and examine the social media post characteristics that lead to higher stakeholder engagement in the container shipping market. The study applies Chi-Squared Automatic Interaction Detection method to categorize social media posts based on their engagement levels. The analysis is conducted on the tweets of four global container lines which are posted between 1 September 2018 and 31 January 2019. The results demonstrate that social media posts of container lines have varying effects on engagement level. We found that fluency of tweets, tangibility of company resources in the tweet, vividness level, content type, existence of a link, and existence of a call-to-action significantly influence the container lines’ stakeholder engagement rate. This study is the first that finds out social media post classes based on the interaction between their characteristics and engagement rates by employing a decision tree methodology. The results are expected to help container lines in their social media management and stakeholder engagement policies.
    • Do agile managed information systems projects fail due to a lack of emotional intelligence?

      Luong, T.T.; Sivarajah, Uthayasankar; Weerakkody, Vishanth J.P. (2019-11)
      Agile development methodologies (ADM) have become a widely implemented project management approach in Information Systems (IS). Yet, along with its growing popularity, the amount of concerns raised in regard to human related challenges caused by applyingADMare rapidly increasing. Nevertheless, the extant scholarly literature has neglected to identify the primary origins and reasons of these challenges. The purpose of this study is therefore to examine if these human related challenges are related to a lack of Emotional Intelligence (EI) by means of a quantitative approach. Froma sample of 194 agile practitioners, EI was found to be significantly correlated to human related challenges in agile teams in terms of anxiety, motivation, mutual trust and communication competence. Hence, these findings offer important new knowledge for IS-scholars, project managers and human resource practitioners, about the vital role of EI for staffing and training of agile managed IS-projects.
    • Parameters of managerial effectiveness and development of third sector managers: An empirical study of HIV/AIDS NGO managers in India

      Kazi, Shehnaz; Analoui, Farhad (2019-10)
      This paper reports on the findings of an empirical study that explores the perception of HIV third sector managers in India of their own effectiveness and the contextual factors in which they work. A qualitative methodology with case study design was employed. Semi-structured interviews with 16 Non-Governmental Organisation (NGOs) managers and two focus-group interviews with 16 non-managerial staff were carried out to generate primary data. The paper attempts to contextualise the model ‘parameters of managerial effectiveness’ (Analoui, 1999, 2002), and its related contextual factors in India. The findings identify managerial and leadership factors and influences that impact the effectiveness of NGO managers. It also confirms that, by and large, the framework is applicable to the NGO managers in India given the different context in which they must operate. These differences provided basis for the construction of a modified behavioural model for managerial behavioural analysis and their human resource development (HRD) needs. It provides a basis for HRD policy formulation for designing and implementing adequate training and development (T&D) for NGO managers in the third sector in India. This unique and first-time study contributes to the present stock of theoretical knowledge and understanding of the effectiveness of the managers in a sensitive untouched area within the third sector and organisations in a developing country.
    • A Study on trust restoration efforts in the UK retail banking industry

      Ahmed, S.; Bangassa, K.; Akbar, Saeed (Elsevier, 2019)
      This paper aims to capture the perception of banking services providers on how to restore their customers’ trust in the UK banking industry. Twenty frontline employees (FLEs) who have customer-facing responsibilities are interviewed and a thematic analysis of the interview transcripts is undertaken. Through the emergence of three different major themes and a number of sub-themes, we have presented our findings in the form of a trust restoration model. Interviewees have reported three major themes as an action framework to restore their customers’ trust. Firstly, banks are implementing enhanced transparency in their operations, by appropriately disclosing the key features of their lending and other banking activities. Secondly, they are implementing policies and procedures that can help strengthen their relationship banking, such as improving employee and customer engagement activities for supporting small businesses and the community. Thirdly, they are promoting operational efficiency by adequately investing in information technology infrastructure. However, some financial service practices identified by the interviewees, for example, the deliberate sale of financial products that are unsuitable for their customers or too complex to understand, still continues. Ultimately, this ‘sale before service’ tactic is incompatible with the industry claims of compliance with the new financial regulations.
    • Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model

      Dwivedi, Y.K.; Rana, Nripendra P.; Jeyaraj, A.; Clement, M.; Williams, M.D. (2019-06)
      Based on a critical review of the Unified Theory of Acceptance and Use of Technology (UTAUT), this study first formalized an alternative theoretical model for explaining the acceptance and use of information system (IS) and information technology (IT) innovations. The revised theoretical model was then empirically examined using a combination of meta-analysis and structural equation modelling (MASEM) techniques. The meta-analysis was based on 1600 observations on 21 relationships coded from 162 prior studies on IS/IT acceptance and use. The SEM analysis showed that attitude: was central to behavioural intentions and usage behaviours, partially mediated the effects of exogenous constructs on behavioural intentions, and had a direct influence on usage behaviours. A number of implications for theory and practice are derived based on the findings.
    • 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.
    • Key challenges to digital financial services in emerging economies: the Indian context

      Rana, Nripendra P.; Luthra, S.; Rao, H.R. (2019)
      Purpose: Digital Financial Services (DFS) have substantial prospect to offer a number of reasonable, appropriate and secure banking services to the underprivileged in developing countries through pioneering technologies such as mobile phone based solutions, digital platforms and electronic money models. DFS allow unbanked people to obtain access to financial services through digital technologies. However, DFS face tough challenges of adoption. Realising this, the aim of this paper is to identify such challenges and develop a framework. Design/Methodology/Approach: We develop a framework of challenges by utilising Interpretive Structural Modelling (ISM) and Fuzzy MICMAC approach. We explored eighteen such unique set of challenges culled from the literature and further gathered data from two sets of expert professionals. In the first phase, we gathered data from twenty-nine professionals followed by eighteen professionals in the second phase. All were pursuing Executive MBA programme from a metropolitan city in South India. The implementation of ISM and fuzzy MICMAC provided a precise set of driving, linkage and dependent variables that were used to derive a framework. Findings: ISM model is split in eight different levels. The bottom level consists of a key driving challenge V11 (i.e. high cost and low return related problem) whereas the topmost level consists of two highly dependent challenges namely V1 (i.e. risk of using digital services) and V14 (i.e. lack of trust). The prescribed ISM model shows the involvement of ‘high cost and low return related problem (V11)’, which triggers further challenges of DFS. Originality/value: None of the existing research has explored key challenges to DFS in detail nor formulated a framework for such challenges. To the best of our knowledge, this is the first paper on DFS that attempts to collate its challenges and incorporate them in a hierarchical model using ISM and further divide them into four categories of factors using fuzzy MICMAC analysis.
    • Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda

      Hughes, L.; Dwivedi, Y.K.; Misra, S.K.; Rana, Nripendra P.; Raghavan, V.; Akella, V. (2019-12)
      The blockchain has received significant attention from technology focussed researchers, highlighting its perceived impact and emerging disruption potential, but has been slow to engender any significant momentum within the Information Systems (IS) and Information Management (IM) literature. This study approaches the subject through an IS/IM lens developing the key themes from the blockchain based research via a comprehensive review. This analysis of the body of literature highlights that although few commercial grade blockchain applications currently exist, the technology demonstrates significant potential to benefit a number of industry wide use cases. This study expands on this point articulating through each of the key themes to develop a detailed narrative on the numerous potential blockchain applications and future direction of the technology, whilst discussing the many barriers to adoption. The study asserts that blockchain technology has the potential to contribute to a number of the UN Sustainability Development Goals and engender widespread change within a number of established industries and practices.
    • Investigating the antecedents of customer brand engagement and consumer-based brand equity in social media

      Algharabat, A.; Rana, Nripendra P.; Alalwan, A.A.; Baabdullah, A.M.; Gupta, A. (2019)
      The current research is concerned with identifying and testing the role of three main predictors: consumer involvement, consumer participation, and self-expressive brand on the customer brand engagement (CBE). The customer brand engagement is treated in the current study as multidimensional constructs comprising three main aspects: cognitive processing (CP), affection (AF), and activation (AC). It was also proposed a direct influence for these three aspects of CBE on consumer-based brand equity (CBBE). Using online surveys, we gathered data from fans/followers of mobile phone service providers, via Facebook fan pages in Jordan. The data were analysed using structural equation modelling. Based on structural equation modelling analyses (SEM), it was supported that CBE aspects were largely predicted by the role of consumer involvement (INV), consumer participation (COP), and self-expressive brand (SEB). However, we find that activation impact one dimension of the CBBE dimensions, namely, brand loyalty. Further, we find that brand awareness/associations affect perceived quality but not brand loyalty. To validate the CBE scale, future studies could investigate the impact of the scale using other social media platforms for different brands. The limited amount of empirical research on CBE was the motivation behind this research. In particular, there is no study that has investigated the main predictors of CBE and its consequences over developing context by proposing and testing the association between the antecedents of CBE with the dimensions of CBE, which in turn affect the dimensions of CBBE.
    • 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.
    • Exploring barriers of m-commerce adoption in SMEs in the UK: Developing a framework using ISM

      Rana, Nripendra P.; Barnard, D.J.; Baabdullah, A.M.; Rees, D.; Roderick, S. (2019-02)
      In the modern business era, mobile commerce (m-commerce) is changing the way the business is conducted using the Internet. However, the prominence of m-commerce among small and medium-sized enterprises (SMEs) in the UK is minimal. The purpose of this study is to evaluate the existing literature and to extend the research surrounding the barriers that prevent the adoption of m-commerce amongst SMEs. The study uses an Interpretive Structural Modelling (ISM) and MICMAC approach for guiding and helping managers of SMEs. Data was collected from an expert participant group each of whom had extensive knowledge of m-commerce. The findings represent the unstable nature of variables in the context of their impact on each other, their relationships, and themselves. The listed factors in the proposed framework and the interrelationships between them highlight the multi-dimensional element of m-commerce adoption prevention. This observation proves criticality of analysing data as a collective entity rather than viewing the barriers in isolation. The findings also indicated ‘perceived risk’ being a key barrier that demonstrates how personal opinions of the concept of adoption can have a great significance on the outcome and whether other variables will come into effect.
    • Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor

      Gutierrez, A.; O'Leary, S.; Rana, Nripendra P.; Dwivedi, Y.K.; Calle, T. (2019-06)
      Location-based advertising is an entrepreneurial and innovative means for advertisers to reach out through personalised messages sent directly to mobile phones using their geographic location. The mobile phone users' willingness to disclose their location and other personal information is essential for the successful implementation of mobile location-based advertising (MLBA). Despite the potential enhancement of the user experience through such personalisation and the improved interaction with the marketer, there is an increasing tension between that personalisation and mobile users' concerns about privacy. While the privacy calculus theory (PCT) suggests that consumers make privacy-based decisions by evaluating the benefits any information may bring against the risk of its disclosure, this study examines the specific risks and benefits that influence consumers' acceptance of MLBA. A conceptual model is proposed based on the existing literature and a standardised survey was developed and targeted at individuals with known interests in the subject matter. From these requests, 252 valid responses were received and used to evaluate the key benefits and risks of MLBA from the users' perspectives. While the results confirmed the importance of internet privacy concerns (IPC) as an important determinant, they also indicate that monetary rewards and intrusiveness have a notably stronger impact on acceptance intentions towards MLBA. Intrusiveness is the most important risk factor in determining mobile users' intentions to accept MLBA and therefore establishing effective means of minimising the perceived intrusiveness of MLBA can be expected to have the greatest impact on achieving effective communications with mobile phone users.
    • Smart monitoring and controlling of government policies using social media and cloud computing

      Singh, P.; Dwivedi, Y.K.; Kahlon, K.S.; Sawhney, R.S.; Alalwan, A.A.; Rana, Nripendra P. (2019)
      The governments, nowadays, throughout the world are increasingly becoming dependent on public opinion regarding the framing and implementation of certain policies for the welfare of the general public. The role of social media is vital to this emerging trend. Traditionally, lack of public participation in various policy making decision used to be a major cause of concern particularly when formulating and evaluating such policies. However, the exponential rise in usage of social media platforms by general public has given the government a wider insight to overcome this long pending dilemma. Cloud-based e-governance is currently being realized due to IT infrastructure availability along with mindset changes of government advisors towards realizing the various policies in a best possible manner. This paper presents a pragmatic approach that combines the capabilities of both cloud computing and social media analytics towards efficient monitoring and controlling of governmental policies through public involvement. The proposed system has provided us some encouraging results, when tested for Goods and Services Tax (GST) implementation by Indian government and established that it can be successfully implemented for efficient policy making and implementation.
    • From harmony to conflict: MacIntyrean virtue ethics in a Confucian tradition

      Chu, Irene; Moore, G. (2019)
      This paper explores whether MacIntyrean virtue ethics concepts are applicable in non-Western business contexts, specifically in SMEs in Taiwan a country strongly influenced by the Confucian tradition. It also explores what differences exist between different polities in this respect, and specifically interprets observed differences between the Taiwanese study and previous studies conducted in Europe and Asia. Based on case study research, the findings support the generalizability of the MacIntyrean framework. Drawing on the institutional logics perspective and synthesizing this with MacIntyrean concepts, the paper explains the differences between the studies largely by reference to the Confucian tradition operating at both the micro-level within firms and at the macro-level as a means of harmonizing the potentially competing institutional logics to which firms are subject. The recent weakening of this tradition, however, suggests that increased conflict may characterize the future.
    • Personnel Selection in the Digital Age: A Review of Validity and Applicant Reactions, and Future Research Challenges

      Woods, S.A.; Ahmed, S.; Nikolaou, I.; Costa, Ana-Cristina; Anderson, Neil (Taylor francis Group, 2019)
      We present a targeted review of recent developments and advances in digital selection procedures (DSPs) with particular attention to advances in internet-based techniques. By reviewing the emergence of DSPs in selection research and practice, we highlight five main categories of methods (online applications, online psychometric testing, digital interviews, gamified assessment and social media). We discuss the evidence base for each of these DSP groups, focusing on construct and criterion validity, and applicant reactions to their use in organizations. Based on the findings of our review, we present a critique of the evidence base for DSPs in industrial, work and organizational psychology and set out an agenda for advancing research. We identify pressing gaps in our understanding of DSPs, and ten key questions to be answered. Given that DSPs are likely to depart further from traditional nondigital selection procedures in the future, a theme in this agenda is the need to establish a distinct and specific literature on DSPs, and to do so at a pace that reflects the speed of the underlying technological advancement. In concluding, we, therefore, issue a call to action for selection researchers in work and organizational psychology to commence a new and rigorous multidisciplinary programme of scientific study of DSPs.