• Business Intelligence

      Mahroof, Kamran; Matthias, Olga; Hussain, Zahid I. (2017-06)
    • Drone as a Service (DaaS) in promoting Cleaner Agricultural Production and Circular Economy for Ethical Sustainable Supply Chain Development

      Mahroof, Kamran; Omar, Amizan; Rana, Nripendra P.; Sivarajah, Uthayasankar; Weerakkody, Vishanth J.P. (2021-03-10)
      In order to grow the food the world needs, there is a pressing need to gain a more detailed understanding of how innovative solutions can be incorporated into the agricultural supply chains, particularly within production, for environmentally, economically, ethically and socially viable food production. Despite a number of innovative solutions available, many challenges in agricultural supply are still prevalent, with researchers to date largely focusing on these challenges in isolation, as opposed to exploring the relationships held between these challenges. Thus, supported by Circular Economy, Agriculture, Industry 4.0 literature and expert opinions, agricultural supply chain challenges are modelled and analysed using ISM methodology to help uncover 12 agricultural challenges which ultimately impede goods moving within the supply chain. Findings discovered that the Unproductive Workers and Pesticide Hazards are the key drivers of agricultural challenges. The ISM Hierarchical model elucidates research propositions and a parsimonious model for future research.
    • A human-centric perspective exploring the readiness towards smart warehousing: the case of a large retail distribution warehouse

      Mahroof, Kamran (2019-04)
      The explosive rise in technologies has revolutionised the way in which business operate, consumers buy, and the pace at which these activities take place. These advancements continue to have profound impact on business processes across the entire organisation. As such, Logistics and Supply Chain Management (LSCM) are also leveraging benefits from digitisation, allowing organisations to increase efficiency and productivity, whilst also providing greater transparency and accuracy in the movement of goods. While the warehouse is a key component within LSCM, warehousing research remains an understudied area within overall supply chain research, accounting for only a fraction of the overall research within this field. However, of the extant warehouse research, attention has largely been placed on warehouse design, performance and technology use, yet overlooking the determinants of Artificial Intelligence (AI) adoption within warehouses. Accordingly, through proposing an extension of the Technology–Organisation–Environment (TOE) framework, this research explores the barriers and opportunities of AI within the warehouse of a major retailer. The findings for this qualitative study reveal AI challenges resulting from a shortage of both skill and mind-set of operational management, while also uncovering the opportunities presented through existing IT infrastructure and pre-existing AI exposure of management.
    • 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.
    • Role of big data and social media analytics for business to business sustainability: A participatory web context

      Sivarajah, Uthayasankar; Irani, Zahir; Gupta, S.; Mahroof, Kamran (2020-04)
      The digital transformation is an accumulation of various digital advancements, such as the transformation of the web phenomenon. The participatory web that allows for active user engagement and gather intelligence has been widely recognised as a value add tool by organisations of all shapes and sizes to improve business productivity and efficiency. However, its ability to facilitate sustainable business-to-business (B2B) activities has lacked focus in the business and management literature to date. This qualitative research is exploratory in nature and fills this gap through findings arising from interviews of managers and by developing taxonomies that highlight the capability of participatory web over passive web to enable different firms to engage in business operations. For this purpose, two important interrelated functions of business i.e. operations and marketing have been mapped against three dimensions of sustainability. Consequently, this research demonstrates the ability of big data and social media analytics within a participatory web environment to enable B2B organisations to become profitable and remain sustainable through strategic operations and marketing related business activities. The research findings will be useful for both academics and managers who are interested in understanding and further developing the business use of participatory web tools to achieve business sustainability. Hence, this may be considered as a distinct way of attaining sustainability.
    • Sustainable Food Supply Chains: Overcoming the Challenges with Digital Technologies

      Mahroof, Kamran; Omar, Amizan; Kucukaltan, B. (Emerald Publishing, 2021)
      The purpose of this paper is to offer a consolidative approach in exploring the potential contribution of digital technologies in sustainable supply chain management (SSCM) for the sustainable performance of food supply chain business, through the circular economy concepts. As a single case study, this qualitative, interpretivist research was based on one of the largest food producers in the United Kingdom. The research utilises semi-structured interviews and applies thematic analysis to offer rich insights into SSCM challenges and their relationship with the business performance, through ten in-depth interviews. Findings derived from thematic analysis of the interview transcripts suggest four main critical success factors underpinning SSCM practices and businesses performance – i.e. business continuity, waste reduction, performance measurement approach, and organisational learning, which could use the help of digital technologies to improve. This led to seven propositions to be addressed in the future research. This research offers real, practical insights into SSCM challenges, within the context of food supply chain and explores the potential of digital technologies in overcoming them. Accordingly, the primary contribution of this work is grounded in the identification of critical success factors in SSCM for Food Supply Chains (FSC). Hence, this work contributes further to the literature on SSCM, as well as circular economy, by providing a study of a business in the context of the highly pertinent and valuable food industry.
    • Technology as a disruptive agent: Intergenerational perspectives

      Mahroof, Kamran; Weerakkody, Vishanth J.P.; Onkal, Dilek; Hussain, Zahid I. (2020)
      This study explores how British South Asian parents perceive their children’s technology consumption through their collectivist lenses and interdependent values. The findings for this qualitative study indicate that second and third generation South Asian parents acknowledge the benefits of children’s technology use; but largely perceive technology as a disruptive agent, whereby children are becoming isolated and increasingly independent within the household. The analysis aims to understand how parents view their children’s relationship with others as a result of technology consumption. Accordingly, this paper proposes an extension of the Construal of self conceptualisation and contributes a Techno-construal matrix that establishes a dyadic connection between technology consumption and cultural values. Overall, the study reveals that children display less inter-reliance and conformance typically associated with collectivist cultures, resulting from their technology use. Consequently, parents interpret their children’s shift from interdependence to more independence as a disruptive and unsettling phenomenon within the household.