Now showing items 21-40 of 193

    • Knowledge sharing for enhanced performance in the HEIs using a conceptual framework

      Khilji, Nasrallah; Duan, Yanqing; Tehrani, Jasmine; ; University of Bedfordshire (North American Business Press, 2021-04-30)
      Knowledge sharing is an essential management practice that provides a sustainable competitive advantage in a vibrant and dynamic economy (Kaur, 2019). To achieve an enhanced performance in the Higher Education Institutions (HEIs), it is essential to make sure that the teaching and learning system is determined by knowledge sharing approach (Nair and Munusami, 2019). The Higher Education Institutions are required to consider how they could better share knowledge from experts who have it to learners who need to get the best of such expertise (Darling-Hammond et al., 2019). This study examines the knowledge sharing behaviour among academics and leaners in the HEIs by providing a better understanding for their enhanced performance. This is aimed to comprehend the individual acts of knowledge creation and the collective efforts of knowledge sharing adapted in the HEIs towards continuous improvement. A literature review is carried out to propose a conceptual framework of knowledge sharing for enhanced performance in the HEIs.
    • Identifying the configurational conditions for marketing analytics use in UK SME

      Cao, Guangming; Duan, Yanqing; Tian, Na (Emerald, 2021-04-09)
      While marketing analytics can be used to improve organizational decision-making and performance significantly, little research exists to examine how the configurations of multiple conditions affect marketing analytics use. This study draws on configuration theory to investigate marketing analytics use in small and medium-sized enterprises (SMEs). This research employs fuzzy set qualitative comparative analysis using data collected from a survey of 187 managers in UK SMEs. The key findings show that (1) configurations of multiple conditions provide alternative pathways to marketing analytics use; and (2) the configurations for small firms are different from those for medium-sized firms. The research results are based on several key configurational factors and a single key-informant method to collect subjective data from UK SME managers. The study helps SMEs to understand that marketing analytics use is influenced by the interaction of multiple conditions, that there are alternative pathways to marketing analytics use, and that SMEs should choose the configuration that fits best with their organizational contexts.
    • Examining perceived entrepreneurial stress: a causal interpretation through cross-lagged panel study

      Arshi, Tahseen Anwer; Kamal, Qazi; Burns, Paul; Tewari, Veena; Rao, Venkoba; American University of Ras Al Khaimah; Leeds Beckett University; University of Bedfordshire; Majan University College (MDPI, 2020-12-22)
      The entrepreneurial stress construct’s nomological validity is not well established as past studies have not delineated between entrepreneurial and employee stress. This study investigated several entrepreneurship-specific stressors positing their causal effect on perceived entrepreneurial stress (PES). It examined four directional hypotheses testing the causal, reverse, reciprocal relationships and moderation effects between stressors and PES. Further, it looked at the moderating impact of psychological capital. More than 300 entrepreneurs in emerging markets, namely India, Pakistan, and the United Arab Emirates, participated in this longitudinal study (Time 1 n = 325, Time 2 n = 310). The study adopted a cross-lagged competing model research design and analyzed the data using structural equation modeling (SEM). The results show that entrepreneurship-specific personal, social, and occupational stressors cause PES. Further, the results also support the reverse causal effect of PES on stressors and a reciprocal relationship. The study advances resource-based theory to an entrepreneurial background, highlighting the role of intangible resource gaps in perceived entrepreneurial stress. The study concludes that entrepreneurship-specific intangible resources are useful to entrepreneurs at personal, social, and occupational levels. An actual or perceived loss of these resources may lead to perceived entrepreneurial stress. Furthermore, PES can interfere with the entrepreneurial capacity for innovation over time. Psychological capital can be an effective coping response as a moderator of perceived entrepreneurial stress’ adverse effects. This is one of the first studies that examines PES in an emerging market context, specific to entrepreneurial employment.
    • A historical institutionalist perspective on the persistence of state controls during financial sector reforms: the insightful case of Myanmar

      Win, Sandar; Kofinas, Alexander K. (Emerald Group Publishing Ltd., 2020-09-23)
      Purpose: Many transition economies are former socialist planned economies and have undergone market reforms of their financial sector to signal their transition towards democracy. However, governments in these countries have been reluctant to relinquish the pre-existing controls on economy and have adopted nuanced and sophisticated approaches to retain control. In such context, scholars may find it challenging to investigate the role played by the state in the success or failure of attempted market reforms. This work investigates the different forms of state-induced accounting controls that may preserve the status quo within the economy during transition, using Myanmar as an example. Design/methodology/approach: The authors adopted a longitudinal qualitative research method aiming to reveal the very processes and mechanisms used by the banks and their evolution over time. This method is in accordance with the historical institutionalist perspective that we have applied within this research. Findings: The authors found that the Myanmar government embarked on the privatisation of their financial sector from 1990 to 2016 as a major public sector reform initiative. Under the guise of market reforms, it used both state-led and market-led controls to emulate and retain the socialist banking model where banks are used to fund the immediate government's budget deficits. This created a series of intended and unintended consequences, resulting in the ultimate failure of the government's market reforms. Research limitations/implications: Previously, research on public sector management accounting in emerging economies was not relying consistently on using theory. The relative limited theorisation led to gaps when attempting to understand and explain the opaque forms of state control mechanisms in transition economies. By applying historical institutionalist perspective, and a more theory-driven, reflective approach to the interpretation of the data collected, we have provided a deeper insight and understanding on how different forms of state controls can emerge, adapt and persist in transition economies such as Myanmar. Practical implications: The authors demonstrated that though the state may have implemented market reforms to signal regimes change, this does not necessarily mean that the government has relinquished their control on the economy. The state could take a more sophisticated, covert approach towards state controls leading to both intended and unintended consequences. Thus, even if the state's preferences change, the decisions cannot be easily reversed, as path-dependent state controls may have become pervasive affecting any further institutional and policy developments. Thus, the authors suggest that governments in both transition and developed economies should be cautious when enacting regulations on corporate control. Originality/value: In this paper, the authors have applied a historical institutional perspective in our analysis instead of the more widely used sociological, institutionalist approach. This allowed authors to harness rich longitudinal data indicating that market reforms and their success or failure should be examined as an ongoing process rather than a completed action. This is especially important in transition economies where the state may be unwilling to renounce the existing controls on the industry and may resort to more opaque forms of state control, eventually obstructing the intended reforms.
    • A semiotics-oriented approach to aid the design of ubiquitously monitored healthcare systems

      Tehrani, Jasmine; Ahmed, Sajeel; University of Bedfordshire (SciTePress, 2020-05-31)
      Ubiquitous computing technology, sensor networks, and ambient intelligence have initiated the birth of pervasive health. While successful in many environments, in healthcare, monitoring technologies have been known to cause undesirable effects, such as increases in stress in patients being observed. To date, the use of this monitoring technology and its effect on human behaviour have not been thoroughly investigated, meaning future system designs may result in (preventable) undesirable effects. Pervasive healthcare’s envisioned deep intertwining with the patient’s day-to-day care, makes patient’s socio-cultural values a fundamental consideration. In this paper, we present a semiotics-oriented approach for analysing factors, identified in the literature and believed to influence patient’s behaviour, from both physical and social perspectives to aid the design of socially aware and patient-centric ubiquitous monitoring environments that are successfully adopted and used whilst aiding the incorporation of social aspects of pervasive technologies in the design.
    • Business incubator managers’ perceptions of their role and performance success: role demands, constraints, and choices

      Kakabadse, Nada K.; Karatas-Ozkan, Mine; Theodorakopoulos, Nicholas; McGowan, Carmel; Nicolopoulou, Katerina (Wiley-Blackwell, 2020-01-05)
      Using Stewart's (1976a, 1976b) role framework as an analytical lens, this paper examines how business incubator managers perceive their role and performance, and the choices they make in dealing with constraints and competing demands. Given that the literature in this domain has not considered how these types of managers experience agency and structure in their role, this study is important in theory and practice terms. Drawing on 40 qualitative interviews in different UK regions, the findings demonstrate the ways in which business incubator managers see their role as pivotal in supporting the incubatee entrepreneurs and how they endeavour to address competing role demands against constraints. Notably, while funding is commonly viewed as an enabler, the findings suggest that the funding structure could act as a constraint on the incubator managers, due to the weight of perceived bureaucracy preventing the latter from operating effectively within the full remit of their role.
    • The production of garments and textiles in Bangladesh: trade unions, international managers and the health and safety of workers

      Khan, Md Asaduzzaman; Brymer, Katharine; Koch, Karl; Buckinghamshire New University; University of Bedfordshire; London South Bank University (SAGE Publications Ltd, 2020-11-16)
      This paper offers a view of working practices within the garment and textile (G&T) industry in Bangladesh. The G&T industry accounts for over 84 per cent of Bangladesh exports and is therefore viewed as key to the country’s economic development. This importance is seen in the creation of Export Processing Zones (EPZs), which were created by that state to encourage foreign investment by offering a congenial climate free from cumbersome procedures. Trade unions are outlawed in these areas. Health and safety are poor within the G&T industry. However, the Rana Plaza disaster of 2013, which caused 1,132 deaths and over 2,500 injuries, placed the issue of workplace safety on the international agenda. Arguably, this prompted a change of attitude within Bangladesh and the G&T industry towards health and safety. The presence of international managers appears to have played a significant role in improving health and safety in the working environment, however these international managers do face a range of cultural barriers, which include both language and a different perception of the value of health and safety in the workplace. This paper has adopted a mixed method of both qualitative and quantitative data, collected through interviews and questionnaire surveys within the G&T industry in Bangladesh.
    • A combined tactical and operational deterministic food grain transportation model: particle swarm based optimization approach

      Maiyar, Lohithaksha M.; Thakkar, Jitesh J.; Indian Institute of Technology Kharagpur (Elsevier, 2017-05-22)
      This paper proposes a combined tactical and operational two stage food grain transportation model with linear formulation in the first stage and a mixed-integer non-linear problem (MINLP) in the second stage taking the case of India. Transportation cost is minimized in both stages to fulfil a deterministic demand. First and the second stages correspond to the movement of food grains in between state and central level warehouses respectively. A novel k-parameter based method of constraint handling has been proposed. Further, the two stage MINLP formulation newly incorporates vehicle capacity constraints and proposes a generic metric for measuring vehicle utilization. First stage is solved by CPLEX and for the second stage, two population based random search techniques: Particle swarm optimization-composite particle (PSOCP) and PSO, have been employed. Experimentations on 10 different problem sets reveal that PSOCP performs marginally better than PSO with lesser standard deviation of global fitness and better solution quality with slightly higher CPU time. Later, sensitivity analysis is conducted on all ten problem sets and a decision support framework is proposed to assist potential stakeholders.
    • Assessing the appropriate grassroots technological innovation for sustainable development

      Singh, Sonal H.; Maiyar, Lohithaksha M.; Bhowmick, Bhaskar (Routledge, 2019-07-28)
      Grassroots technological innovation (GRTI) is perceived as a source of sustainable development while addressing local problems and needs of people belonging to the bottom of the economic pyramid. The fostering of sustainable development develops a need for scientific evaluation and subsequent diffusion of GRTI to ameliorate the livelihood of grassroots communities. It is, hence, the purpose of this research to assess the relative performance of different GRTIs with respect to economic, social, and environmental benefits. The empirical data for this study comprised of 32 GRTIs from the three different rural non-farm sectors in the Indian context. Analytical hierarchy process is used for deducing the relative assessment of the selected GRTI against the aforementioned performance criteria. The findings of this study offer imperative insights into the field of technology diffusion and development at the grassroots level and suggest recommendations for sustainable policy formulation.
    • Multi-response optimization using anova and desirability function analysis: a case study in end milling of inconel alloy

      Ramanujam, R.; Maiyar, Lohithaksha M.; Venkatesan, K.; Vasan, Mithun; VIT University (Asian Research Publishing Network, 2014-04-01)
      Nickel-based super alloys are classified as 'difficult to machine' materials due to its inherent characteristics such as high hardness, and toughness, high strength at elevated temperatures, low thermal conductivity, ability to react with cutting inserts, and ability to weld onto the surface of the cutting insert. The present study investigated the parameter optimization of end milling operation for Inconel 718 super alloy with multi-response criteria based on the Taguchi method and desirability function analysis. Experimental tests were carried out based on an L9 orthogonal array of Taguchi method. The influence of machining factors cutting speed, feed rate and depth of cut were analyzed on the performances of surface roughness and material removal rate. The optimum cutting conditions are obtained by Taguchi method and desirability function. The analysis of variance (ANOVA) is also applied to investigate the effect of influential parameters. A regression model was developed for surface roughness and material removal rate as a function of cutting velocity, feed rate and depth of cut. Finally, the confirmation experiment was conducted for the optimal machining parameters, and the betterment has been proved. © 2006-2014 Asian Research Publishing Network (ARPN).
    • Development of an effective cost minimization model for food grain shipments

      Maiyar, Lohithaksha M.; Thakkar, Jitesh J.; Awasthi, Anjali; Tiwari, Manoj Kumar; Indian Institute of Technology Kharagpur; Concordia University (Elsevier, 2015-08-31)
      This paper makes an attempt to address the issue of food grain shipments taking a case of Indian food grain supply chain. The existing process of transportation and distribution has been represented as a four stage process. In this work only the first stage has been formulated as a bi-level nodal capacity network flow problem with linear model in the first level and a mixed integer non-linear model in the second level considering minimization of transportation costs. The model captures rail-road flexibility. Finally two variants of particle swarm optimization algorithms are used to solve the model and results are compared.
    • Part segregation based on particle swarm optimisation for assembly design in additive manufacturing

      Maiyar, Lohithaksha M.; Singh, Sube; Prabhu, Vittal; Tiwari, Manoj Kumar (Taylor and Francis Ltd., 2019-05-05)
      Minimising total production time in the additive or layered manufacturing is a critical concern, and in this respect, the idea of balancing assembly time and build time is rapidly gaining research attention. The proposed work intends to provide benefit in terms of reduced lead time to customers in a collaborative environment with simultaneous part printing. This paper formulates a mixed-integer non-linear programming (MINLP) model to evaluate the near optimal threshold area and support material allocation while segregating parts for a single material additive manufacturing set-up. The resulting time minimisation model is finitely bounded with respect to support material volume, total production time and total assembly cost constraints. A novel swarm intelligence-based part segregation procedure is proposed to determine the number of part assemblies and part division scheme that adheres to cross-sectional shape, cross-sectional area, and height restrictions. The proposed approach is illustrated and evaluated for objects with regular as well as free-form surfaces using two different hypothetically simulated real size 3D models. Results indicate that the proposed approach is able to reduce the total amount of manufacturing time in comparison with single part build time for all the tested cases.
    • Optimization of machining parameters for end milling of Inconel 718 super alloy using Taguchi based grey relational analysis

      Maiyar, Lohithaksha M.; Ramanujam, R.; Venkatesan, K.; Jerald, J.; VIT University; National Institute of Technology, India (Elsevier Ltd, 2013-11-13)
      This study investigated the parameter optimization of end milling operation for Inconel 718 super alloy with multi-response criteria based on the taguchi orthogonal array with the grey relational analysis. Nine experimental runs based on an L9 orthogonal array of Taguchi method were performed. Cutting speed, feed rate and depth of cut are optimized with considerations of multiple performance characteristics namely surface roughness and material removal rate. A grey relational grade obtained from the grey relational analysis is used to solve the end milling process with the multiple performance characteristics. Additionally, the analysis of variance (ANOVA) is also applied to identify the most significant factor. Finally, confirmation tests were performed to make a comparison between the experimental results and developed model. Experimental results have shown that machining performance in the end milling process can be improved effectively through this approach.
    • The applicability of best value in the Nigerian public sector

      Bukoye, Oyegoke Teslim; Norrington, Peter; University of Bedfordshire (Taylor and Francis Inc., 2014-08-14)
      We examine the applicability of Best Value practices in the Nigerian public sector and present a Best Value Model for Nigeria. We find the literature does not extend to the Nigerian context. We make contributions towards understanding stakeholder perceptions of public service delivery best practice. We show Best Value as a significant initiative for improving public service delivery. The mixed methods survey reveals Nigerian Best Value initiatives do not exist significantly, but are applicable. Outcomes are exploration of a new area for Best Value application, incorporation of implementation issues into the model and the seven-stage process for its implementation. © Taylor & Francis Group, LLC.
    • Impact of engaging teaching model (ETM) on students’ attendance

      Bukoye, Oyegoke Teslim; Shegunshi, Anjali; University of Bedfordshire (Taylor and Francis Ltd., 2016-08-24)
      Non-attendance in Higher Education is not a new concept. In recent years with the exponential growth in digital learning, physical attendance has become a more complex issue. Educators are continually advocating an engaging teaching approach for students as a means of enhancing learning. This on-going study focuses on exploring the existing issues related to student non-attendance and the impact of a proposed engaging teaching model (ETM) on students’ attendance. This research questions whether an engaged learning session could make a positive impact on students’ attendance. The objectives highlighted in this study are to examine the reasons for non-attendance and generic measures for increasing attendance; and highlight the impact of an engaging teaching model on students’ attendance. The inference drawn from the qualitative method undertaken by 89 participants is the development of ETM to enhance students’ attendance. The study is beneficial to educators, researchers and policy-makers, in order for them to consider not only the content of their subjects, but also how students engage with these resources, which consequently facilitate students’ interest in attending lectures.
    • Impact of COVID-19 pandemic on information management research and practice: transforming education, work and life

      Dwivedi, Yogesh Kumar; Hughes, D. Laurie; Coombs, Crispin; Constantiou, Ioanna; Duan, Yanqing; Edwards, John S.; Gupta, Babita; Lal, Banita; Misra, Santosh; Prashant, Prakhar; et al. (Elsevier Ltd, 2020-07-31)
      The COVID-19 pandemic has forced many organisations to undergo significant transformation, rethinking key elements of their business processes and use of technology to maintain operations whilst adhering to a changing landscape of guidelines and new procedures. This study offers a collective insight to many of the key issues and underlying complexities affecting organisations and society from COVID-19, through an information systems and technological perspective. The views of 12 invited subject experts are collated and analysed where each articulate their individual perspectives relating to: online learning, digital strategy, artificial intelligence, information management, social interaction, cyber security, big data, blockchain, privacy, mobile technology and strategy through the lens of the current crisis and impact on these specific areas. The expert perspectives offer timely insight to the range of topics, identifying key issues and recommendations for theory and practice.
    • Predicting monthly natural gas production in China using a novel grey seasonal model with particle swarm optimization

      Li, Nu; Wang, Jianliang; Wu, Lifeng; Bentley, Yongmei; China University of Petroleum; Hebei University of Engineering; University of Bedfordshire (Elsevier, 2020-10-22)
      Accurate prediction of short and medium-term monthly natural gas production in a country is the basis for understanding the supply capacity of natural gas in different months, and for the timely adjustment of natural gas production and import strategies. In China the monthly production of natural gas has obvious seasonal and cyclical variations, thus the use of a traditional grey prediction model is not very effective. As a result, a novel grey seasonal model is proposed in this paper. This is the Particle swarm optimized Fractional-order-accumulation non-homogenous discrete grey Seasonal Model (PFSM(1,1) model). This model enhances the adaptability to seasonal fluctuation data in two ways: the seasonal adjustment of the original data, and improvement of model self-adaptability. We use monthly natural gas production data of China for the period 2013-2018 as samples to predict those for the period 2019-2023. To demonstrate the PFSM(1,1) model does indeed exhibit better predictive capability, we also use the Holt–Winters model and a seasonal GM(1,1) model to predict monthly natural gas production, and compare the results with the model proposed here. The prediction results show that monthly natural gas production in China will continue to increase throughout the 2019-2023 period, that the peak-to-valley differences in monthly production values will also increase, and that the seasonal variations in production will become increasingly pronounced. Moreover, although Chinese production of natural gas is increasing, it will still be difficult to meet future demand, and hence the gap between supply and demand will increase year by year. We conclude that China needs to develop a more complete import plan for gas to meet expected natural gas consumption.
    • IoT sensors in aquaculture-barriers and facilitators for sustainability in Brazilian context

      Ramanathan, Ramakrishnan; Duan, Yanqing; Ajmal, Tahmina; Dong, Feng; Van Ransbeeck, Samuel; Valverde, Joaquim Manoel Monteiro; Valverde, Silma Battezzati; University of Bedfordshire; Instituto Federal de Educação, Ciência e Tecnologia Catarinense (IEOM Society, 2019-12-31)
      The UNEP has identified Artisanal Fisheries (AF) as the most important sector for meeting the twin needs of economic development and environmental sustainability. During 2004-14, fish exports from Brazil declined from 107,000 tons to 34,000 tons while fish imports grew from 158,000 tons to 403,000 tons due to low productivity of Brazilian AFs. Hence it is important to understand opportunities for productivity improvement of these fisheries. With productivity improvement and further expansion, sustainability issues should be considered carefully. In a project funded by the Newton Fund in the UK and FAPESC in Brazil, we explored drivers of sustainable development of AFs in Santa Catarina via a stakeholder workshop and field visits. We also interacted with officials at the EPAGRI, the research and agricultural extension organization of the State of Santa Catarina. Findings of the workshop and field visits are briefly summarized below but will be elaborated during the presentation at the conference. • The level of technology use in aquafarms in Brazil is basic. There were one or two instances of old mechanical technology but there is no integration with the latest electronic, IoT technologies. • There is general lack of awareness of sustainability issues among most AFs. Since water supply is abundant, they tend to think pollution is not an issue. Without adequate efforts in treating the waste water before they leave aquafarms, pollution issues could be the most significant limiting factor for future expansion of AFs. • There is a lack of awareness of the fish supply chains as most AFs do not directly deal with supermarkets or final consumers. • Lack of financing and access to banks is also a serious bottleneck for future expansion. • The AFs tend to work with traditional models of fishing. More training on new business models (e.g., (i) linking directly to market, (ii) using cooperative structures to ensure large supplying power and consequently winning bargaining power, and (iii) developing future contracts for supply of fish to the market to ensure all fish produced are sold on time) will help the entire AF industry. • New Internet of Things (IoT) technologies should be developed with local culture in mind. It can be automatic resulting in fewer labour requirements but should be supplemented with proper guidance documents (e.g., user manuals or online provision). Working with local knowledge centres such as EPAGRI is crucial for continued diffusion of these technologies to all eligible AFs and for regular advice on maintenance. •Lack of supporting infrastructure for aquaculture development, e.g. analytic systems, ERP, e-learning, regulations, government support, legal frameworks, etc. On the basis of the study, three areas can be recommended for future IoT and Big Data applications: (i) improving the monitoring and control of water quality, such as oxygen and temperature, by using sensors and remote control digital technologies; (ii) optimising and managing the fish feed to improve resource efficiency; (iii)-enabling fish farmers to have better access to information (e.g. suppliers information, weather, market demand and prices, costs, etc), knowledge and technical support and expert advice via mobile Apps.
    • Entrepreneurial architecture: a framework to promote innovation in large firms

      Arshi, Tahseen Anwer; Burns, Paul; Majan University College; University of Bedfordshire (Sage Publications, 2018-07-19)
      In spite of the recognition that entrepreneurship and innovation are interlinked, very few studies have attempted to articulate this relationship. The aim of this article is to explain the nature of the relationship between entrepreneurship and innovation in large firms, arguing that entrepreneurship is an antecedent to innovation. The study employs a multidimensional entrepreneurial architecture (EA) framework for the first time and tests the effect of a battery of entrepreneurship measures on innovation output, which is reflected as degree and frequency of incremental and radical innovations. Adopting a quantitative approach, data were collected from 400 corporate firms in Oman representing various sectors of the economy. The EA dimensions reflected through entrepreneurial culture, entrepreneurial structure, entrepreneurial strategies and entrepreneurial leadership were tested through measurement and structural modelling. The results confirmed that entrepreneurship is a precursor to innovation. The EA framework, through its four dimensions, creates a collaborative and complimentary intensity that promotes innovation outputs, which may not be possible from the isolated effects of individual factors. The present study extends the extant literature, explaining how these entrepreneurship measures synergistically impact varying levels of innovation output. It has practical implications for managers in large firms involved in promoting innovation. They can transform the existing organisational architecture into an EA, by transplanting these entrepreneurship measures and creating a framework that promotes innovation.