Recent Submissions

  • Fostering Financial Inclusion in Developing Countries: Predicting User Acceptance of Mobile Wallets in Cameroon

    Fosso Wamba, S.; Queiroz, M.M.; Blome, C.; Sivarajah, Uthayasankar (2020)
    Financial inclusion is a vital development priority for countries worldwide. Mobile wallet (m-wallet) is considered as a disruptive payment method that will substitute the traditional physical wallet to achieve the so-called cashless society and enables financial inclusion. This study aims at developing and testing a research model that integrates a set of technology factors (perceived usefulness, perceived ease of use, fun to use, monetary value), external factors (peer influence and perceived status benefit), and cultural factors (humane orientation and societal collectivism) to assess the intention to adopt and use m-wallet, for financial inclusion, in a developing country. The proposed conceptual model is tested using data collected from 621 m-wallet users in Cameroon. The model explains 47.5% of the variance of the actual use of m-wallet and 32.90% of the variance of financial inclusion. Finally, implications for research and practice are discussed.
  • Founder retention as CEO at IPO in emerging economies: The role of private equity owners and national institutions

    Hearn, Bruce; Filatotchev, I. (2019-05)
    We integrate the institutional perspective with research on the governance role of private equity firms in an investigation of Founder-CEO successions in Initial Public Offerings (IPOs) in emerging markets. Using a unique, hand-collected and comprehensive sample of 191 firms having undertaken IPOs in 21 markets across the African continent between January 2000 and August 2016, we apply instrumental variable (IV) Probit methodology and find that higher levels of private equity ownership are positively associated with the probability of the founder's retention as CEO, especially in the context of low-quality formal institutions. Further, in societies with high tribalism, higher private equity ownership is associated with an increased likelihood of founder retention. Voids in the institutional architecture underscore the importance of the founder as a key organizational resource for the firm and a source of institutionalized legitimacy, which in turn confers on the firm an ability to access required resources.
  • 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.
  • The characteristics of intellectual property rights regimes: How formal and informal institutions affect outward FDI location

    Papageorgiadis, N.; McDonald, F.; Wang, Chengang; Konara, P. (2020-02)
    This study examines the institutional arrangements that define the characteristics of national legal systems that are used to protect intellectual property (IP) assets embedded in outward FDI. The focus of the study is on how the institutional underpinnings of IPR regimes affect the costs and risk of using legal arenas to enable effective use of IP assets. Following a property rights approach it is postulated that formal and informal institutional arrangements influence how IP regimes affect the transaction costs and risk associated with converting ownership rights over IP into economic rights. Informal institutions are considered to affect the behaviour of agents involved in enforcing legal rights. This behaviour influences how IP law is implemented in legal arenas and thereby impacts on the efficacy of IPR regimes to help secure economic rights from the use of IP assets. Using data on outward FDI from the USA to 42 host countries the results find that the strength of informal institutions connected to the enforcement of IP in a country directly affects outcomes and positively moderates the effect of formal legal aspects of IP law on FDI flows. The results highlight the importance of informal institutional aspects connected to the behaviour of enforcement agents when using national legal systems to protect IP rights in cross-frontier transactions.
  • Proactive environmental strategy and firm performance at the bottom of the pyramid

    Adomako, Samuel; Ning, E.; Adu-Ameyaw, E. (Wiley, 2020)
    This paper uses insights from the natural resource-based view (NRBV) to examine the conditions under which proactive environmental strategy (PES) drive firm performance. Using data collected from 266 small and medium-sized enterprises (SMEs) operating in Ghana, the results suggest that the impact of PES on firm performance is more pronounced in firms that do not purse bottom of the pyramid (BOP) orientation but not significant for firms pursuing the BOP orientation. Besides, the findings show that the influence of PES on firm performance is amplified for firms adopting imitation orientation but not significant for non-imitation oriented firms. Implications and directions for future research 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.
  • Influencing subjective well-being for business and sustainable development using big data and predictive regression analysis

    Weerakkody, Vishanth J.P.; Sivarajah, Uthayasankar; Mahroof, Kamran; Maruyama, Takao; Lu, Shan (2020)
    Business leaders and policymakers within service economies are placing greater emphasis on well-being, given the role of workers in such settings. Whilst people’s well-being can lead to economic growth, it can also have the opposite effect if overlooked. Therefore, enhancing subjective well-being (SWB) is pertinent for all organisations for the sustainable development of an economy. While health conditions were previously deemed the most reliable predictors, the availability of data on people’s personal lifestyles now offers a new dimension into well-being for organisations. Using open data available from the national Annual Population Survey in the UK, which measures SWB, this research uncovered that among several independent variables to predict varying levels of people's perceived well-being, long-term health conditions, one's marital status, and age played a key role in SWB. The proposed model provides the key indicators of measuring SWB for organisations using big data.
  • Self-building Artificial Intelligence and machine learning to empower big data analytics in smart cities

    Alahakoon, D.; Nawaratne, R.; Xu, Y.; De Silva, D.; Sivarajah, Uthayasankar; Gupta, B. (2020)
    The emerging information revolution makes it necessary to manage vast amounts of unstructured data rapidly. As the world is increasingly populated by IoT devices and sensors that can sense their surroundings and communicate with each other, a digital environment has been created with vast volumes of volatile and diverse data. Traditional AI and machine learning techniques designed for deterministic situations are not suitable for such environments. With a large number of parameters required by each device in this digital environment, it is desirable that the AI is able to be adaptive and self-build (i.e. self-structure, self-configure, self-learn), rather than be structurally and parameter-wise pre-defined. This study explores the benefits of self-building AI and machine learning with unsupervised learning for empowering big data analytics for smart city environments. By using the growing self-organizing map, a new suite of self-building AI is proposed. The self-building AI overcomes the limitations of traditional AI and enables data processing in dynamic smart city environments. With cloud computing platforms, the selfbuilding AI can integrate the data analytics applications that currently work in silos. The new paradigm of the self-building AI and its value are demonstrated using the IoT, video surveillance, and action recognition applications.
  • Disentangling the Effects of Business Groups in the Innovation-Export Relationship

    Wu, L.; Wei, Y.; Wang, Chengang (2021-01)
    This paper examines the role of business groups (BGs) in the relationship between innovation and exports. In the light of the divergent theoretical predictions on the role of BGs, we develop hypotheses that are explicitly based on the institutional context of emerging economies. By analyzing the institutional pressures under which BGs shape their strategies and operations, we formulate hypotheses on the effect of BG affiliation on exports, and the impact of innovation on exports. Empirical results, based on a large sample of Chinese manufacturing firms during the period of 1998-2007, show that both innovation and BG affiliation have a positive effect on exports, although BG affiliation weakens the positive value of innovation to exports. These findings are robust in different specifications. This paper highlights the complex role played by BGs, which needs to be understood in the context of institutions.
  • Regulatory Focus, Persistence and New Venture Performance

    Adomako, Samuel (Emerald, 2020)
    Purpose The purpose of this article was to examine the joint effects of regulatory focus, entrepreneurial persistence, and institutional support on new venture performance. Design/methodology/approach This paper uses a random survey approach to sample 204 new ventures from Ghana. The moderated mediation method was used to analyze the survey data. Findings The findings from this paper show that entrepreneurs’ promotion focus positively relates to persistence whiles prevent focus negatively influences persistence. Besides, persistence mediates the link between regulatory focus (promotion and prevention focus) and new venture performance. These relationships are positively moderated by perceived institutional support. Research limitations/implications Using data from only the manufacturing sector in Ghana limits the generalisability of this paper. Also, persistence was not observed or measured directly in this paper but was only used as a self-reporting variable that captures an individual’s tendency to persist. Originality/value The contribution of this paper is threefold. First, this paper contributes to regulatory focus literature by enhancing our knowledge of how self-regulation could help explain entrepreneurial decision-making. Second, this paper broadens self-regulation literature by adding institutional context as a moderating variable. Third, this paper helps clarify the potential role of persistence in entrepreneurship.
  • Social commerce in emerging markets and its impact on online community engagement

    Algharabat, R.S.; Rana, Nripendra P. (2020-07)
    This study aims to build on the understanding of social commerce in the emerging markets and how it influences online community engagement. The conceptual model was proposed using theories including the social support theory, the trust theory, the social presence theory, the flow theory and the service-dominant logic theory. Using Facebook online community, the data were collected from 400 respondents from Jordan and analysed using AMOS based structural equation modelling. Results revealed that social commerce constructs positively influence social support, community members’ trust and social presence. Furthermore, it was found that social support and social presence positively affect community members’ trust. We also found that community members’ trust positively influence flow whereas both community members’ trust and flow positively influence community engagement.
  • Attention-based LSTM network for rumor veracity estimation of tweets

    Singh, J.P.; Kumar, A.; Rana, Nripendra P.; Dwivedi, Y.K. (Springer, 2020)
    Twitter has become a fertile place for rumors, as information can spread to a large number of people immediately. Rumors can mislead public opinion, weaken social order, decrease the legitimacy of government, and lead to a significant threat to social stability. Therefore, timely detection and debunking rumor are urgently needed. In this work, we proposed an Attention-based Long-Short Term Memory (LSTM) network that uses tweet text with thirteen different linguistic and user features to distinguish rumor and non-rumor tweets. The performance of the proposed Attention-based LSTM model is compared with several conventional machine and deep learning models. The proposed Attention-based LSTM model achieved an F1-score of 0.88 in classifying rumor and non-rumor tweets, which is better than the state-of-the-art results. The proposed system can reduce the impact of rumors on society and weaken the loss of life, money, and build the firm trust of users with social media platforms.
  • Blockchain for next generation services in banking and finance: cost, benefit, risk and opportunity analysis

    Osmani, M.; El-Haddadeh, R.; Hindi, N.; Janssen, M.; Weerakkody, Vishanth J.P. (2020)
    Purpose – The purpose of this paper is to help in providing a better understanding of the application of blockchain technology in the context of the banking and finance sectors. The aim is to outline blockchain’s benefits, opportunities, costs, risks as well as challenges of the technology in the context of banking and finance services Design/methodology/approach – Careful examination of the extant literature, including utilising relevant academic-based research databases has been carried out. It covered reviewing various research contributions published in peer-reviewed journals, academic reports, as well as technical reports to help in identifying related benefits, opportunities, costs, and risks. Findings – The findings reveal that there are limited contributions in utilising blockchain in the banking and finance sectors when compared with other sectors. As such, the study highlighted the relevant perspective of benefits, opportunities, costs, and risks within such sectors. Practical implications – This study helps in offering a focal point to banking and financial sector managers and decision-makers for realising the benefits of blockchain technology as well as developing strategies and programmes to overcome the identified challenges. Originality/value – This study highlights the need for a holistic understanding of the various aspects of cost, benefits, risk and opportunities to create blockchain applications that work for banking and finance sectors
  • Perceived institutional support and small venture performance: The mediating role of entrepreneurial persistence

    Ahsan, M.; Adomako, Samuel; Mole, K.F. (Sage, 2020)
    This article examines the entrepreneurial persistence of opportunity-motivated entrepreneurs in Ghana. Specifically, it develops a theoretical model focusing on the relationships among perceived institutional support, entrepreneurial persistence and small venture performance, including how entrepreneurial networks condition the relationship between institutional support and entrepreneurial persistence. Using time-lagged data from 373 opportunity-motivated entrepreneurs leading small ventures in Ghana, we find broad support for our hypotheses. The insights from our study provide an integrative understanding of the relationships among perceived institutional support, entrepreneurial persistence and venture performance in an adverse environment. Theoretical and practical implications are discussed.
  • CEOs' regulatory foci and firm-level product innovativeness in competitive environments

    Adomako, Samuel (2017-06)
    Purpose: Using arguments from the regulatory focus and upper echelons theories, this paper aims to examine the impact of a chief executive officer’s (CEO’s) regulatory foci (i.e. promotion and prevention focus) on small- and medium-sized enterprises’ (SMEs’) level of innovativeness and how these relationships are jointly moderated by intense competition. Design/methodology/approach: The empirical analysis draws on survey data gathered from 257 SMEs in Ghana. Findings: The study findings indicate that a CEO’s level of promotion focus positively affects the firm’s engagement in innovation, while a CEO’s prevention focus is negatively associated with the firm’s innovativeness. The positive association between a CEO’s promotion focus and a firm’s innovativeness is enhanced under conditions of intense competition. Additionally, the negative relationship between prevention focus and firm-level innovativeness is attenuated under intense competition. Research limitations/implications: This study relied on a single informant and also used subjective measures for the dependent variable. As such, individual respondents might have biased perspectives on firm-level product innovativeness. Future studies may use multiple informants to examine the causal links of the variables. Practical implications: The study’s findings provide managers with a deeper understanding of how to achieve superior firm-level product innovation. The understanding of this issue can promote the development and maintenance of further entrepreneurial ventures in emerging economies. Originality/value: The paper has a strong theoretical value as it pioneers research on the effect of CEOs’ regulatory foci on firm-level innovativeness in competitive environments.
  • Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations

    Spanaki, K.; Karafili, E.; Sivarajah, Uthayasankar; Despoudi, S.; Irani, Zahir (Taylor & Francis, 2020)
    The Sustainable Development Goals (SDGs) present the emerging need to explore new ways of AgriFood production and food security as ultimate targets for feeding future generations. The study adopts a Design Science methodology and proposes Artificial Intelligence (AI) techniques as a solution to food security problems. Specifically, the proposed artefact presents the collective use of Agricultural Technology (AgriTech) drones inspired by the biomimetic ways of bird swarms. The design (artefact) appears here as a solution for supporting farming operations in inaccessible land, so as unmanned aerial devices contribute and improve the productivity of farming areas with limited capacity. The proposed design is developed through a scenario of drone swarms applying AI techniques to address food security issues. The study concludes by presenting a research agenda and the sectoral challenges triggered by the applications of AI in Agriculture.
  • Decision-making model for supply chain risk management in the petroleum industry

    Aroge, Olatunde O.; Rahmanian, Nejat; Munive-Hernandez, Jose E.; Abdi, Reza (2020)
    The purpose of this paper is to develop a decision-making model for supporting the management of risks in supply chain. This proposed model is applied to the case of the oil industry in Nigeria. A Partial Least Square Structural Equation Model (PLS-SEM) is developed to measure the significance of the influence of risk management strategy on mitigating disruption risks and their correlations with the performance of activities in the supply chain and relevance of key performance measures in the organisation. The model considered seven aspects: behavioural-based management strategy, buffer based oriented management strategy, exploration and production risks, environmental and regulatory compliance risks, geopolitical risks, supply chain performance, and organisational performance measures. A survey questionnaire was applied to collect data to populate the model, with 187 participants from the oil industry. Based on the PLS-SEM methodology, an optimised risk management decision-making method was developed and accomplished. The results show that behavioural-based mechanism predicts the capacity of the organisation to manage risks successfully in its supply chain. The approach proposed provides a new and practical methodology to manage disruption risks in supply chains. Further, the behavioural-based mechanism can help to formulate risk management strategies in the oil industry.
  • The application of PROMETHEE multi-criteria decision aid in financial decision making: case of distress prediction models evaluation

    Mousavi, Mohammad M.; Lin, J. (2020-11-30)
    Conflicting rankings corresponding to alternative performance criteria and measures are mostly reported in the mono-criterion evaluation of competing distress prediction models (DPMs). To overcome this issue, this study extends the application of the expert system to corporate credit risk and distress prediction through proposing a Multi-criteria Decision Aid (MCDA), namely PROMETHEE II, which provides a multi-criteria evaluation of competing DPMs. In addition, using data on Chinese firms listed on Shanghai and Shenzhen stock exchanges, we perform an exhaustive comparative analysis of the most popular DPMs; namely, statistical, artificial intelligence and machine learning models under both mono-criterion and multi-criteria frameworks. Further, we address two prevailing research questions; namely, "which DPM performs better in predicting distress?" and "will training models with corporate governance indicators (CGIs) enhance the performance of models?”; and discuss our findings. Our multi-criteria ranking suggests that non-parametric DPMs outperform parametric ones, where random forest and bagging CART are among the best machine learning DPMs. Further, models fed with CGIs as features outperform those fed without CGIs.
  • Artificial intelligence in financial services: systemic implications and regulatory responses

    Kapsis, Ilias (2020-04)
    The article offers information on expansion of Artificial Intelligence (AI) in the financial services industry. Topics include Financial institutions see in it more opportunities for efficiency generation, improved profitability, and opportunities for differentiation for the building of competitive advantages; and develop, to improve reporting, and compliance processes.
  • Environmental Collaboration, Sustainable Innovation, and SME Growth in sub-Saharan Africa: Evidence from Ghana

    Adomako, Samuel (Wiley & sons, 2020-07)
    This article investigates the impact of environmental collaboration on sustainable innovation and its impact on firm growth. The hypotheses are tested using data from 455 small and medium‐sized enterprises (SMEs) in Ghana. The findings from the study show that environmental collaboration positively relates to sustainable innovation and this relationship is moderated by environmental commitment. The results also show that sustainable innovation is positively associated with SME growth. Finally, the results suggest that sustainable innovation mediates the environmental collaboration‐SME growth relationship. The theoretical and practical implications of the study are discussed.

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