Now showing items 21-40 of 1127

    • Fifty Years of Information Management Research: A Conceptual Structure Analysis using Structural Topic Modeling

      Sharma, A.; Rana, Nripendra P.; Nunkoo, R. (2021-06)
      Information management is the management of organizational processes, technologies, and people which collectively create, acquire, integrate, organize, process, store, disseminate, access, and dispose of the information. Information management is a vast, multi-disciplinary domain that syndicates various subdomains and perfectly intermingles with other domains. This study aims to provide a comprehensive overview of the information management domain from 1970 to 2019. Drawing upon the methodology from statistical text analysis research, this study summarizes the evolution of knowledge in this domain by examining the publication trends as per authors, institutions, countries, etc. Further, this study proposes a probabilistic generative model based on structural topic modeling to understand and extract the latent themes from the research articles related to information management. Furthermore, this study graphically visualizes the variations in the topic prevalences over the period of 1970 to 2019. The results highlight that the most common themes are data management, knowledge management, environmental management, project management, service management, and mobile and web management. The findings also identify themes such as knowledge management, environmental management, project management, and social communication as academic hotspots for future research.
    • 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.
    • Servitization implementation in the manufacturing organisations: classification of strategies, definitions, benefits and challenges

      Kamal, M.M.; Sivarajah, Uthayasankar; Bigdeli, A.Z.; Missi, F.; Koliousis, Y. (Elsevier, 2020-12)
      The integration of products and services into a bundled product/service offering by manufacturing organisations is seen as a global trend in today’s competitive business environment. The shift of product-based manufacturers towards offering business solutions and value-added services to consumers is termed as ‘Servitization’. Contrary to the potential benefits expected by adding service activities to the offerings, advocates voice their concerns towards experiential problems and challenges in employing the servitization strategy – termed as ‘Servitization Paradox’. Nevertheless, the shift from product-based delivery to a service-based provision has the potential to significantly impact on developing sustainable and eco-friendly environment. To provide greater insights to the servitization phenomenon, this paper presents a comprehensive analysis of the servitization implementation in manufacturing organisations. In order to respond to the latter, we propose the following three research questions “Q1 – what are the different types of servitization strategies”, “Q2 – what are the different servitization definitions”, “Q3 – what are the potential benefits in selecting a servitization strategy?”, “Q4 – what are the challenges in transitioning towards servitization?”. A systematic literature review is carried out to understand the past trends and extant patterns/themes in the servitization strategy research area, evaluate contributions, summarise knowledge, thereby identifying limitations, implications and potential further research avenues. The key findings confirm servitization studies have contributed both conceptually and empirically to the development and accumulation of intellectual wealth to the manufacturing operations and supply chain discipline. Moreover, the findings clearly indicate the potential of servitization in transitioning manufacturing organisations (e.g. benefits) and utilising innovative technologies to generate business value. Nevertheless, some voices are backing further research/development in the area of servitization due to the several existing challenges.
    • Assessing consumers’ co-production and future participation on value co-creation and business benefit: An F-P-C-B model perspective

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

      Sharma, S.K.; Metri, B.; Dwivedi, Y.K.; Rana, Nripendra P. (2021-04)
      Many developing countries across the world are allocating a significant share of their budgets for e-government initiatives. Common service centers (CSCs) are e-government initiatives that aim to increase access to public services and promote easy and direct interaction with the government. These e-government initiatives are largely underutilised, especially in rural areas in developing countries. This study attempts to identify the key challenges facing CSCs and determine their hierarchical relationships in the context of rural India. A set of 15 challenges was identified through a rigorous literature review and by surveying experts and CSC owners. Data were collected on the identified challenges and were analysed using interpretive structural modeling (ISM)-MICMAC-fuzzy MICMAC analysis. Subsequently, we developed a hierarchical model of challenges. The findings revealed that “longer travel time and transaction cost”, “low digital literacy”, and “low awareness” of e-government services are among the key challenges CSCs face in rural India. This study suggests several recommendations to all the stakeholders involved in the management of CSCs to improve the delivery of e-government services in rural India.
    • On the Intellectual Structure and Influence of Tourism Social Science Research

      Sharma, A.; Nunkoo, R.; Rana, Nripendra P.; Dwivedi, Y.K. (Elsevier, 2021)
    • Social media adoption, usage and impact in business-to-business (B2B) context: A state-of-the-art literature review

      Dwivedi, Y.K.; Ismagilova, Elvira; Rana, Nripendra P.; Raman, R. (2021)
      Social media plays an important part in the digital transformation of businesses. This research provides a comprehensive analysis of the use of social media by business-to-business (B2B) companies. The current study focuses on the number of aspects of social media such as the effect of social media, social media tools, social media use, adoption of social media use and its barriers, social media strategies, and measuring the effectiveness of use of social media. This research provides a valuable synthesis of the relevant literature on social media in B2B context by analysing, performing weight analysis and discussing the key findings from existing research on social media. The findings of this study can be used as an informative framework on social media for both, academic and practitioners.
    • Role of Smart Cities in Creating Sustainable Cities and Communities: A Systematic Literature Review

      Ismagilova, Elvira; Hughes, Laurie; Rana, Nripendra P.; Dwivedi, Y.K. (2019-01)
      Smart cities can help in achieving UN SDG. This research carries out a comprehensive analysis of the role of smart cities on creating sustainable cities and communities, which is one of 17 UN sustainable goals. Current research focuses on number of aspect of sustainable environment such as renewable and green energy, energy efficiency, environmental monitoring, air quality, and water quality. This study provides a valuable synthesis of the relevant literature on smart cities by analysing and discussing the key findings from existing research on issues of smart cities in creating sustainable cities and communities. The findings of this study can provide an informative framework for research on smart cities for academics and practitioners.
    • Disruptive Technologies in Agricultural Operations: A Systematic Review of AI-driven AgriTech Research

      Spanaki, K.; Sivarajah, Uthayasankar; Fakhimi, M.; Despoudi, S.; Irani, Zahir (2021-01)
      The evolving field of disruptive technologies has recently gained significant interest in various industries, including agriculture. The fourth industrial revolution has reshaped the context of Agricultural Technology (AgriTech) with applications of Artificial Intelligence (AI) and a strong focus on data-driven analytical techniques. Motivated by the advances in AgriTech for agrarian operations, the study presents a state-of-the-art review of the research advances which are, evolving in a fast pace over the last decades (due to the disruptive potential of the technological context). Following a systematic literature approach, we develop a categorisation of the various types of AgriTech, as well as the associated AI-driven techniques which form the continuously shifting definition of AgriTech. The contribution primarily draws on the conceptualisation and awareness about AI-driven AgriTech context relevant to the agricultural operations for smart, efficient, and sustainable farming. The study provides a single normative reference for the definition, context and future directions of the field for further research towards the operational context of AgriTech. Our findings indicate that AgriTech research and the disruptive potential of AI in the agricultural sector are still in infancy in Operations Research. Through the systematic review, we also intend to inform a wide range of agricultural stakeholders (farmers, agripreneurs, scholars and practitioners) and to provide research agenda for a growing field with multiple potentialities for the future of the agricultural operations.
    • Environmental Proactivity, Competitive Strategy and Market Performance: The mediating Role of Environmental Reputation

      Nguyen, P.N.; Adomako, Samuel (Wiley, 2021)
      This article examines the impact of small and medium-sized enterprises’ (SMEs’) proactive environmental strategy on market performance through the mediating mechanism of environmental reputation. In addition, we investigate the potential moderating role of competitive strategies on the environmental reputation-market performance nexus. Data were collected from 223 SMEs. Using the hierarchical multiple regression analysis, the results show that a proactive environmental strategy positively enhances environmental reputation. Also, the influence of proactively environmental strategy on market performance is mediated by environmental reputation. In addition, our findings show the relationship between environmental reputation and market performance is greater for firms that adopt the differentiation strategy but not significant for firms adopting the low-cost and integrated strategies. Our study offers several theoretical and practical implications.
    • An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance

      Bag, S.; Gupta, S.; Kumar, A.; Sivarajah, Uthayasankar (2021-01)
      This study examines the effect of big data powered artificial intelligence on customer knowledge creation, user knowledge creation and external market knowledge creation to better understand its impact on B2B marketing rational decision making to influence firm performance. The theoretical model is grounded in Knowledge Management Theory (KMT) and the primary data was collected from B2B companies functioning in the South African mining industry. Findings point out that big data powered artificial intelligence and the path customer knowledge creation is significant. Secondly, big data powered artificial intelligence and the path user knowledge creation is significant. Thirdly, big data powered artificial intelligence and the path external market knowledge creation is significant. It was observed that customer knowledge creation, user knowledge creation and external market knowledge creation have significant effect on the B2B marketing-rational decision making. Finally, the path B2B marketing rational decision making has a significant effect on firm performance.
    • Environmental sustainability practices and offshoring activities of multinational corporations across emerging and developed markets

      Lartey, T.A.; Amankwah-Amoah, J.; Danso, A.; Adomako, Samuel; Khan, Z.; Tarba, S.Y. (Elsevier, 2021)
      Using panel data of 1,080 multinational corporations (MNCs) from the United States, we examine the effects of environmental sustainability practices on the degree of firms’ offshoring activities. In addition, we disaggregate offshoring activities into their core components depending on whether or not the firm buys (inputs) or sells (outputs) and/or owns assets in a given country and examine the extent to which sustainability practices influence the different components of offshoring decisions. The results indicate that sustainability practices significantly affect offshoring activities of MNCs. In particular, we found that sustainable business practices matter when the firm sells goods or owns assets in the given host nation. Additionally, the results show that the sustainability–degree of the internationalization relationship is crucial for MNCs that have offshoring activities in advanced economies relative to those firms that have activities in emerging markets. Our results are robust to alternative explanations.
    • Career capital in global versus second-order cities: Skilled migrants in London and Newcastle

      Kozhevnikov, Andrew (2021-05-01)
      This study explores the impact of city-specific factors on skilled migrants’ career capital within the intelligent career framework. It compares global and secondary cities as distinct career landscapes and examines how differently they shape development and utilisation of three ways of knowing (knowing-how, knowing-whom and knowingwhy). Findings from 82 qualitative interviews with skilled migrants in global (London) and secondary (Newcastle) UK cities explain the importance of cities at an analytical level, as skilled migrants’ careers were differently constrained and enabled by three groups of city-specific factors: labour market, community and lifestyle. By exploring the two types of cities in career context, this article contributes to developing an interdisciplinary dialogue and problematises careers as a relational and contextually embedded phenomenon. Limitations and recommendations are discussed.
    • 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.
    • Redefining SME Productivity Measurement and Assessment for a Low Carbon Economy

      Owen, R.; Harrer, T.; Lodh, S.; Pates, R.; Mair, Simon (Productivity Insights Network, 2020-10)
      The UK faces the joint economic policy challenges of raising productivity and tackling climate change. This report challenges prevailing narrow market-based views of productivity, by examining the £4bn UK early stage Cleantech innovation finance market. We find that Cleantech innovation is frequently capital intensive and long horizon (5-10+ years), measured by shorterterm technology readiness level (TRL) and intellectual property (IP) progression. Longer-term sustainable productivity impacts remain little understood and, where applied, narrowly relate to customer adoption. This leads to Cleantech environmental impact investor logics that primarily relate to end user financial value (customer sales). There is little consideration for non-market values from, for example, circular economy (CE) and wider environmental spillover impacts (e.g. supply chains). Whilst few Cleantechs currently successfully commercialise, a small proportion exhibit high employment and sales growth and global environmental impact. Improved understanding of the broader environmental impacts of Cleantechs, through the adoption of environmental impact metrics (EIMs) can (i) add to a more holistic notion of productivity and (ii) improve the efficiency of the finance escalator, enabling more Cleantechs to contribute significantly to establishing the UK as a globally leading low carbon economy.
    • Powering Productivity - Mapping Method Report

      Boehnert, J.; Mair, Simon; Landa-Avila, C. (Centre for the Understanding of Sustainable Prosperity, 2019-12)
    • Energy and Productivity - a review of the literature

      Elkomy, S.; Mair, Simon; Jackson, T. (Centre for the Understanding of Sustainable Prosperity, 2020-01)
    • Wellbeing and productivity: a review of the literature

      Isham, A.; Mair, Simon; Jackson, T. (Centre for the Understanding of Sustainable Prosperity, 2020-01)
    • Fairness and Globalisation in the Western European Clothing Supply Chain

      Mair, Simon; Druckman, A.; Jackson, T. (Jenny Stanford Publishing, 2017)
      In this chapter we use global multi-regional input-output analysis to explore how globalisation has impacted fairness along Western European clothing supply chains. Our analysis shows that while globalisation has made the Western European clothing supply chain ‘fairer’ by increasing employment opportunities and income for workers in Brazil, Russia, India and China (BRIC), it has failed to make the supply chain fair. Despite large increases in the labour compensation received by BRIC workers in the Western European clothing supply chain, labour compensation is still insufficient to support a decent standard of living and cannot, therefore, be considered fair.