• UK companies’ initiatives to reduce CO2 emissions in logistics operations

      Bentley, Yongmei (The European Operations Management Association, 2016-06-01)
    • UK company strategies in reducing carbon dioxide emissions

      Bentley, Yongmei; University of Bedfordshire (Academy of Business and Retail Management, 2016-07-01)
      This study investigated a number of large UK companies’ strategies in reducing emissions of carbon dioxide (CO2) in their supply chain operations. In-depth interviews were conducted with logistics/supply chain (SC) managers across different sectors. The research identified the main CO2 reduction strategies, and examined these in the light of existing literature in the research domain. One of the key findings was that there was a strong tension between cost reduction (identified as the major driver for reducing CO2) and lack of resources (the main barrier). It was also found that most CO2 reduction strategies had started only fairly recently, and so far, were mainly operational and tactical in nature. This study makes an empirical contribution to a better understanding of how companies form their CO2 reduction strategies in response to environmental pressures. It has implications for policy makers in terms of how to motivate logistics/SC managers to implement strategies to reduce the environmental impact of CO2 emissions in their business operations. Therefore, it is recommended that logistics/SC managers develop and implement practical initiatives and strategies to reduce CO2 emissions, and to embed these into corporate strategy.
    • Uncertainty of Net Present Value calculations and the impact on applying integrated maintenance approaches to the UK rail industry

      Kirkwood, Leigh; Shehab, Essam; Baguley, Paul; Starr, Andrew; Cranfield University (Elsevier, 2015-10-27)
      The Public performance indicator (PPI) is an important Key Performance Indicator for Network Rail and monitored carefully by the organisation and their external stakeholders. Condition monitoring is of increasing interest within network rail as a suitable method for increasing asset reliability and improving the PPI metric. As condition monitoring methods are identified each will need assessment to establish the cost and benefit. Benefit can be measured in cost savings as poor PPI performance results in fines. Within many industries Net Present Value (NPV) calculations are used to determine how quickly investments will break-even. Cost-risk is a term that is used to describe the financial impact of an unexpected event (a risk). This paper outlines a more detailed approach to calculating NPV which considers the cost-risk effect of changes of the denial of service charging rate. NPV prediction is of importance when assessing when to deploy different fault detection strategies to maintenance issues, and therefore the cost-risk of the NPV calculation should be used to support asset management decisions.
    • Understanding airline organizational attractiveness using interpretive structural modelling

      Vatankhah, Sanaz; Ilkhanizade, Shiva; University of Bedfordshire; Cyprus International University (Akdeniz University, 2021-06-18)
      This study investigates whether and how key components of organizational attractiveness are interrelating to impose the maximum positive impact on the air transportation job market. An expert panel was shaped to gauge judgments regarding the driving power of each criterion over the other. The results of Interpretive Structural Modelling (ISM) revealed that organizational and job characteristics are the main criteria with the most driving power in the model fostering perceived fit. In addition, corporate branding and corporate social responsibility (CSR) demonstrated the highest dependence on the other criteria. The results were further validated through Impact Matrix Cross-reference Multiplication to a classification (MICMAC). The hierarchical pattern of study findings offers theoretical contributions to the study of organizational attractiveness. Practical implications of the results and study limitations are also provided.
    • Understanding collaborative innovation from a dynamic capabilities perspective

      Alford, Philip; Duan, Yanqing; University of Bedfordshire; Bournemouth University (Emerald, 2017-08-01)
      Abstract Purpose – This paper aims to understand the key factors affecting collaborative innovation in a destination management organisation from a dynamic capability perspective. Design/methodology/approach – An in-depth case study was conducted, using semistructured interviews with the CEO and Chairman of the DMO and internal DMO documents from 2011-2016. Thematic analysis was carried out on the data both deductively, with generic themes identified and informed by theory, and inductively, where detailed subthemes were developed from the data. Findings –The success of innovation in the context of a DMO depends on having a strong base of microfoundations that underpin the DMO’s capabilities to sense and seize opportunities and reconfigure its assets for competitive advantage. Collaboration with the key players in the sector has been the essential elements of these microfoundations. Research limitations/implications – This study has been conducted within a single DMO case study. Future research should test the proposed models in different types of organisation and collaborative contexts. Practical implications – The proposed dynamic capability framework helps managers to achieve collaborative innovation, leading to competitive advantage through better development of relevant capabilities. Originality/value – The study represents a first attempt to understand the key factors enabling successful collaborative innovation in the context of DMOs, from a dynamic capability perspective. The unique opportunity of accessing information and witnessing the changes in a DMO over a period of five years enabled the authors to gain in-depth insights and comprehensive understanding as to why and how a UK DMO has been successful in enhancing its business performance through a successful collaborative innovation.
    • Understanding current research on the use and impact of big data analytics: a systematic literature review

      Duan, Yanqing; Ramanathan, Ramakrishnan; Cao, Guangming; Khilji, Nasrallah (IADIS, 2018-12-31)
      With the increasing applications of Big Data Analytics, it is imperative for researchers to keep abreast with the rapid development and emerging research challenges in this field. Therefore, the research reported in this work in progress paper aims to update our knowledge and understanding of the state of the art research on the applications of Big Data Analytics by conducting a comprehensive and systematic review of the recent publications. The literature review is mainly focusing on the emerging new concepts and definitions, theories, research models, research methodologies, critical success factors, and impact on business performance. It is expected that the insights gained through this comprehensive review will contribute to our knowledge on the current status of Big Data Analytics research and associated emerging research challenges and opportunities. Due to the increased interests in Big Data Analytics, the critical analysis of emerging literature will identify the research gaps that provides valuable direction for future studies.
    • Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making

      Cao, Guangming; Duan, Yanqing; Edwards, John S.; Dwivedi, Yogesh Kumar; Ajman University; University of Bedfordshire; Aston University; Swansea University (Elsevier, 2021-06-08)
      While using artificial intelligence (AI) could improve organizational decision-making, it also creates challenges associated with the “dark side” of AI. However, there is a lack of research on managers’ attitudes and intentions to use AI for decision making. To address this gap, we develop an integrated AI acceptance-avoidance model (IAAAM) to consider both the positive and negative factors that collectively influence managers’ attitudes and behavioral intentions towards using AI. The research model is tested through a large-scale questionnaire survey of 269 UK business managers. Our findings suggest that IAAAM provides a more comprehensive model for explaining and predicting managers’ attitudes and behavioral intentions towards using AI. Our research contributes conceptually and empirically to the emerging literature on using AI for organizational decision-making. Further, regarding the practical implications of using AI for organizational decision-making, we highlight the importance of developing favorable facilitating conditions, having an effective mechanism to alleviate managers’ personal concerns, and having a balanced consideration of both the benefits and the dark side associated with using AI.
    • Understanding SMEs’ corporate sustainability behaviour – a responsible environmental behaviour perspective

      Oyedepo, Gbemisola Aramide; Duan, Yanqing; Bentley, Yongmei; He, Qile (2016-08-01)
    • Understanding the impact of business analytics on innovation

      Duan, Yanqing; Cao, Guangming; Edwards, John S.; University of Bedfordshire; Aston University (Elsevier, 2018-06-20)
      Advances in Business Analytics in the era of Big Data have provided unprecedented opportunities for organizations to innovate. With insights gained from Business Analytics, companies are able to develop new or improved products/services. However, few studies have investigated the mechanism through which Business Analytics contributes to a firm's innovation success. This research aims to address this gap by theoretically and empirically investigating the relationship between Business Analytics and innovation. To achieve this aim, absorptive capacity theory is used as a theoretical lens to inform the development of a research model. Absorptive capacity theory refers to a firm’s ability to recognize the value of new, external information, assimilate it and apply it to commercial ends. The research model covers the use of Business Analytics, environmental scanning, data-driven culture, innovation (new product newness and meaningfulness), and competitive advantage. The research model is tested through a questionnaire survey of 218 UK businesses. The results suggest that Business Analytics directly improves environmental scanning which in turn helps to enhance a company's innovation. Business Analytics also directly enhances data-driven culture that in turn impacts on environmental scanning. Data-driven culture plays another important role by moderating the effect of environmental scanning on new product meaningfulness. The findings demonstrate the positive impact of business analytics on innovation and the pivotal roles of environmental scanning and data-driven culture. Organizations wishing to realize the potential of Business Analytics thus need changes in both their external and internal focus.
    • Understanding the use and impact of learning analytics on student experience management in the UK higher education sector

      Kika, Claudette Adamma; Duan, Yanqing; Cao, Guangming (Pacific Asia Conference on Information Systems, 2016-12-31)
      Information systems have always been seen as an essential enabler for the success of the modern organisations. This is also very evident for Higher Education Institutions (HEIs) worldwide. Driving by the need to improve student experience, Learning Analytics (LA) has been a rapidly growing area of interest in UK HEIs. However, there is very limited literature on the use and impact of LA in the Higher Education sector. This research aims to close this gap by developing a better understanding of the use and impact of LA on student experience management. A qualitative methodology is employed by adopting an exploratory case study and semi-structured interviews with key stakeholders across UK HEIs. This research-in-progress paper will provide background information, identify research gaps, explain the research methodology and process, discuss the preliminary findings and framework so far, and present the future work and expected contributions.
    • Understanding value conflict to engage SME managers with business greening

      Williams, Sarah; Schaefer, Anja; Blundel, R. (Springer, 2017-02-01)
      The objective of this chapter is to contribute to the understanding of why SME managers engage with business greening. Ethical tensions are understood through use of the Schwartz Value System. The starting assumption is that the business framing of the environment, to save money and save the planet (win-win), is not value free but instead draws on conflicting values of power and universalism. The empirical research for this chapter engaged 31 SME managers in semi-structured interviews from a variety of business sectors within the East of England. The results showed that ‘power’ values are not the only way of filtering and constructing business greening. Managers were found to be drawing on the full range of values with marker values linked with ‘achievement’, particularly clear. It is concluded that manager values, especially within SMEs, are key to understanding the interplay of motivations for engaging with business greening. The ‘win-win’ concept needs to evolve to take managers beyond quick financial savings. It is argued that one way to do that may be to reframe environmental issues for business to stimulate values other than power. Practitioner work, in partnership with Bedfordshire Green Business Network (GBN), reports the usefulness of such approaches.  
    • The use of DEA for studying the link between environmental and manufacturing performance

      Ramanathan, Ramakrishnan (CRC Press, Taylor & Francis, 2017-07-17)
      In this era of big data and business analytics, huge data is available in public domain and it is important for researchers to analyse this data to be able to make business sense to help businesses grow and to help policy makers to obtain useful insights. In this chapter, we first outline various available Big Data in the public domain that can be used to investigate an important issue in environmental policy: the relationship between environmental expenditure and manufacturing efficiency. We then illustrate how a multi-criteria tool, namely the Data Envelopment Analysis, can be advantageously combined with other statistical models to help study the above relationship. DEA is used to obtain manufacturing efficiency scores of various sectors in the UK. DEA scores are then combined with further data on pollution abatement expenditure in these sectors. Using previous literature, we hypothesise that there is a positive relationship between environmental expenditure and manufacturing efficiency of sectors, and verify it using sector-level data from the UK manufacturing industry. Our study illustrates the use of MCDM tools in using publicly available Big Data for use in public policy analysis.
    • Water footprint assessment for coal-to-gas in China

      Wang, Jianliang; Liu, Xiaojie; Geng, Xu; Bentley, Yongmei; Zhang, Chunhua; Yang, Yuru (Springer, 2019-01-01)
      To increase its domestic gas production and achieve cleaner end-use utilization of its coal resources, China is actively promoting its coal-to-gas (CTG) industry. However, one of the major concerns for CTG development is the consequent significant water usage. To better understand this aspect, this paper presents a quantitative assessment of the water footprint (WF) for China’s CTG industry. The results show that the WF of CTG in China is typically in the region of 0.055 m3 water per cubic meter of produced gas. In addition, the analysis of the components of this WF indicates that most of the water resources are used both in the process of CTG production itself, and also in the dilute discharge of pollutants. In terms of the planned production capacity of China’s CTG projects, this paper finds that the water use in some regions of Xinjiang, Inner Mongolia, Shanxi and Liaoning may account 30–40% of regional water resources, which means the large-scale development of CTG projects may present significant risks to regional water resources. Therefore, this paper suggests that the status of regional water availability should be one of the key factors considered by policy makers in order to achieve sustainable development of the country’s CTG industry.
    • What is business information literacy and can the corporate librarian contribute anything to the discourse?

      Natt, Avtar (Taylor & Francis, 2013-03-28)
      The concept of business information literacy is explored through content analysis of scholarly literature and interviews with business information professionals in academic and corporate contexts. The business school librarian was found to prioritize library instruction whereas the conversion of information to competitive intelligence is important for the corporate librarian. The findings are also found to be part of wider debates surrounding information literacy and higher education. © Taylor & Francis Group, LLC.
    • Wisdom appeals in UK Financial Services Advertising

      Czarnecka, Barbara; Evans, Jeff (Taylor & Francis, 2013-08-25)
      This paper reports on a study of mathematical images in UK press advertising, and in particular, on the use of wisdom appeals as expressed via such images in advertisements for financial services. Over 1,500 editions of nine newspapers were monitored for advertisements containing mathematical images. Content analysis was applied to produce an account of the use of mathematical images in advertising specifically for financial services. The findings indicate noteworthy differences in the use of mathematical images among different types of newspapers. This analysis provides insights into how advertisers use mathematical representations to create more "scientific" and trustworthy images of their brands.
    • Women's emancipation and civil society organisations : challenging or maintaining the status quo?

      Schwabenland, Christina; Lange, Chris; Onyx, Jenny; Nakagawa, Sachiko (Policy Press, 2016-10-16)
    • Working from home during Covid-19: doing and managing technology-enabled social interaction with colleagues at a distance

      Lal, Banita; Dwivedi, Yogesh Kumar; Haag, Markus; ; University of Bradford; Swansea University; University of Bedfordshire (Springer, 2021-08-27)
      With the overnight growth in Working from Home (WFH) owing to the pandemic, organisations and their employees have had to adapt work-related processes and practices quickly with a huge reliance upon technology. Everyday activities such as social interactions with colleagues must therefore be reconsidered. Existing literature emphasises that social interactions, typically conducted in the traditional workplace, are a fundamental feature of social life and shape employees' experience of work. This experience is completely removed for many employees due to the pandemic and, presently, there is a lack of knowledge on how individuals maintain social interactions with colleagues via technology when working from home. Given that a lack of social interaction can lead to social isolation and other negative repercussions, this study aims to contribute to the existing body of literature on remote working by highlighting employees' experiences and practices around social interaction with colleagues. This study takes an interpretivist and qualitative approach utilising the diary-keeping technique to collect data from twenty-nine individuals who had started to work from home on a full-time basis as a result of the pandemic. The study explores how participants conduct social interactions using different technology platforms and how such interactions are embedded in their working lives. The findings highlight the difficulty in maintaining social interactions via technology such as the absence of cues and emotional intelligence, as well as highlighting numerous other factors such as job uncertainty, increased workloads and heavy usage of technology that affect their work lives. The study also highlights that despite the negative experiences relating to working from home, some participants are apprehensive about returning to work in the traditional office place where social interactions may actually be perceived as a distraction. The main contribution of our study is to highlight that a variety of perceptions and feelings of how work has changed via an increased use of digital media while working from home exists and that organisations need to be aware of these differences so that they can be managed in a contextualised manner, thus increasing both the efficiency and effectiveness of working from home.
    • Working with values: an alternative approach to win-win

      Williams, Sarah; Preston, Diane; University of Bedfordshire; Open University (Inderscience, 2019-05-01)
      In this paper we offer an alternative perspective on the business case for why organisations should embrace the arguments for corporate social responsibility (CSR). In particular we look at the win-win scenario often posited by both internal and external agencies where it is not only the business who wins by adopting a CSR agenda but also the environment; save money - save the planet. Using a case study of a group of SME managers belonging to a Green Business network in the UK, we offer a different approach to relying on the traditional win-win scenario that assumes businesses and managers are motivated largely by financial gain. Instead, we show how a series of workshops were used based on Schwartz's Value System with the aim of helping the managers to, firstly understand their own values and motivations toward CSR and, secondly, how they could translate this to better understand the values of their own managers and colleagues with regard to embedding CSR practice. The aim of the paper is to highlight the value of taking a perspective on CSR at the individual level as well as offering a tool that managers could use in their own practice.