• All that is solid? Class, identity and the maintenance of a collective orientation amongst redundant steelworkers

      Perrett, Robert A.; Forde, C.; Stuart, M.; MacKenzie, R. (2006)
      This article explores the importance of class and collectivism to personal identity, and the role this played during a period of personal and collective crisis created by mass redundancy in the Welsh steel industry. The research findings demonstrate the importance of occupational identity to individual and collective identity formation. The apparent desire to maintain this collective identity acted as a form of resistance to the increased individualization of the post-redundancy experience, but rather than leading to excessive particularism, it served as a mechanism through which class-based thinking and class identity were articulated. It is argued that the continued concern for class identity reflected efforts to avoid submergence in an existence akin to Beck¿s (1992) vision of a class-free `individualized society of employees¿.These findings therefore challenge the notion of the pervasiveness of individualism and the dismissal of class and collective orientations as important influences on identity formation.
    • Analysing supply chain integration through a systematic literature review: a normative perspective

      Kamal, M.M.; Irani, Zahir (2014)
      This paper aims to focus on systematically analysing and synthesising the extant research published on supply chain integration (SCI) area, given the significance of SCI research area. More specifically, the authors aim to answer three questions: “Q1 – What are the factors (e.g. both driving and inhibiting) that influence SCI?”, “Q2 – What are the key developments (e.g. both in research and industry) in SCI area?” and “Q3 – What are the approaches employed/discussed to integrate supply chains?”. Over the past decade, SCI has gained increasing attention in the supply chain management (SCM) context, both from the practitioners’ perspective and as a research area. In realising the global transformations and competitive business environment, a number of organisations are collaborating with their supply chain (SC) partners, to conduct seamless SC operations. A systematic and structured literature review is carried out to observe and understand the past trends and extant patterns/themes in the SCI research area, evaluate contributions and summarise knowledge, thereby identifying limitations, implications and potential directions of further research. Thus, to trace the implementation of SCI practices, a profiling approach is used to analyse 293 articles (published in English-speaking peer-reviewed journals between 2000 and 2013) extracted from the Scopus database. The Systematic Review Approach proposed by Tranfield et al. (2003) was followed to analyse and synthesise the extant literature on SCI area. The analysis presented in this paper has identified relevant SCI research studies that have contributed to the development and accumulation of intellectual wealth to the SCI and SCM area. Each of the 293 papers was examined for achieving the aim and objectives of the research, the method of data collection, the data analysis method and quality measures. While some of the papers provided information on all of these categories, most of them failed to provide all the information, especially for Q2 and Q3 that resulted in 23 and 21 papers, respectively. This study would have benefited from the analysis of further journals; however, the analysis of 293 articles from leading journals in the field of operations and SCM was deemed sufficient in scope. Moreover, this research has implications for researchers, journal editors, practitioners, universities and research institutions. It is likely to form the basis and motivation for profiling other database resources and specific operations and SCM-type journals in this area. This systematic literature review highlights a taxonomy of contextual factors driving and inhibiting SCI for researchers and SC practitioners to refer to while researching or implementing SCI. It also exemplifies some areas for future research, along with the need for researchers to focus on developing more practical techniques for implementing SCI and improving organisational performance. The prime value and uniqueness of this paper lies in analysing and compiling the existing published material in relation to Q1, Q2 and Q3, including examining other variables (such as yearly publications, geographic location of each publication, type of publication, type of research methods used), which lacks in the recent published five SCI literature review-based articles (by Kim, 2013; Leuschner et al., 2013; Alfalla-Luque et al., 2013; Parente et al., 2008; Fabbe-Costes and Jahre, 2007). This has been achieved by extracting and synthesising existing publications using “Supply Chain Integration” keyword. This paper provides a critique of the conceptual and empirical works in SCI discipline and offers research agendas that can stimulate future researchers to carefully explore the topic.
    • Analysing the Critical Factors Influencing Trust in E-government Adoption from Citizens' Perspective: A Systematic Review and A Conceptual Framework

      Alzahrani, L.; Al-Karaghouli, W.; Weerakkody, Vishanth J.P. (2017-02)
      Although the success adoption of e-government contingent upon citizens' trust and their willingness to use it, little consideration has been paid to explore the adoption of e-government from citizens' trust perspective. This paper provides a critical and systematic review of the current literature on citizens’ trust in e-government, with a particular focus on the most critical factors influencing citizens’ trust in respect of the adoption of e-government. The extant literature was identified through six electronic databases, from 2000 to 2014. Academic articles were reviewed if they contained a relevant discussion of the antecedents or factors influencing citizens’ trust in e-government adoption. The findings of this review reveal that several studies have been conducted in the area of trust in e-government (particularly trust in government and trust in the internet) with limited consideration to citizen’s aspects of trust (such as personality, culture, gender, experience, education level, beliefs and value systems). Based on the findings of the review, a conceptual framework is proposed by developing the updated DeLone and McLean IS Success Model to establish a framework which presents the antecedents of trust in e-government adoption.
    • Analysis of Challenges for Blockchain Adoption within the Indian Public Sector: An Interpretive Structural Modelling Approach

      Rana, Nripendra P.; Dwivedi, Y.K.; Hughes, D.L. (2021)
      Purpose – Blockchain is one of the most significant emerging technologies that is set to transform many aspects of industry and society. However, it has several major technical, social, legal, environmental and ethical complexities that offer significant challenges for mainstream use within the public sector. The Covid-19 pandemic has compelled many public sector employees to work remotely, highlighting a number of challenges to blockchain adoption within the Indian context signifying the pertinence of this research topic in the post-pandemic era. This study offers insight to researchers and policymakers alike on how such challenges are interdependent within this important subject. Design/methodology/approach – We explored 16 unique sets of challenges selected from the literature and gathered data from nine experts from government settings, healthcare and education sectors and academia who have significant knowledge and experience of blockchain implementation and use in their respective organisations. The implementation of Interpretive Structural Modelling (ISM) and MICMAC provided a precise set of driving, linkage and dependent challenges that were used to formulate the framework. Findings – The developed ISM framework is split into six different levels. The results suggest that the bottom level consists of challenges such as ‘Lack of standards (C9)’ and ‘Lack of validation (C10)’ form the foundation of the hierarchical structure of blockchain adoption. However, the topmost level consists of a highly dependent challenge termed ‘adoption of blockchain in the public sector (C16)’. The research filters the selected set of five challenges to develop a parsimonious model and formulated six propositions to examine the impact of ‘lack of standard (C9)’, ‘lack of validation (C10)’ on ‘security issues (C3)’ and ‘privacy concerns (C2)’, which eventually determine individuals’ ‘reluctance to use blockchain technology (C12)’. Originality/Value – This research fills a key gap in exiting research by exploring the key challenges in blockchain adoption within the public sector by developing a valuable framework to model this important topic. To the best of our knowledge, this is the first paper to address these challenges and develop a parsimonious model for challenges of blockchain adoption in the public sector settings.
    • An analysis of exports and growth in India: Cointegration and causality evidence (1971-2001)

      Sharma, Abhijit; Panagiotidis, T. (2005)
      The relationship between exports and economic growth has been analysed by a number of recent empirical studies. This paper re-examines the sources of growth for the period 1971-2001 for India. It builds upon Feder's (1983) model to investigate empirically the relationship between export growth and GDP growth (the export led growth hypothesis), using recent data from the Reserve Bank of India, and by focusing on GDP growth and GDP growth net of exports. We investigate the following hypotheses: (i) whether exports, imports and GDP are cointegrated using the Johansen approach and Breitung's nonparametric cointegration test; (ii) whether export growth Granger causes GDP growth; (iii) and whether export growth Granger causes investment. Finally, a VAR is constructed and impulse response functions (IRFs) are employed to investigate the effects of macroeconomic shocks.
    • Analysis of factors that influence customers’ willingness to leave big data digital footprints on social media: A systematic review of literature

      Muhammad, S.S.; Dey, B.L.; Weerakkody, Vishanth J.P. (2018-06)
      Big data has been discussed extensively in existing scholarly works but scant consideration is given to customers’ willingness to generate and leave big data digital footprints on social media, especially in the light of the profusely debated issue of privacy and security. The current paper endeavours to address this gap in the literature by developing a conceptual framework. In doing so, this paper conducts a systematic review of extant literature from 2002 to 2017 to identify and analyse the underlying factors that influence customers’ willingness to leave digital footprints on social media. The findings of this review reveal that personal behaviour (intrinsic psychological dispositions), technological factors (relative advantage and convenience), social influence (social interaction, social ties and social support) and privacy and security (risk, control and trust) are the key factors that influence customers’ willingness to generate and leave big data digital footprints on social media. The conceptual framework presented in this paper advances the scholarship of technology adoption and use and provides useful direction for future empirical research for both academics and practitioners.
    • Analysis of safety and environmental regulations for downstream petroleum industry operations in Nigeria: Problems and prospects

      Ambituuni, A.; Amezaga, J.; Emeseh, Engobo (2014-01)
      The Nigerian economy depends on the petroleum industry for revenue and fuel to drive its growth. However, the petroleum industry has been associated with major issues of accidents and disasters which have contributed to vast safety and environmental problems. This is especially true for all sectors of the industry including the downstream. Against this back-drop, this paper critically examines the provisions in various environmental and petroleum laws and the institutional arrangements for monitoring and enforcement to evaluate their adequacy for ensuring safety and proper environmental management within the downstream sector. The review revealed the limitations of the framework such as incoherent laws, overlaps, duplications and conflicting regulatory functions. In addition, the paper looked beyond the regulatory framework to factors within wider socio-political and governance context that contribute to the lack of effectiveness of the regulatory framework. Poor governance, rent seeking culture and inadequate funding were also identified as the key contributing factors to implementation deficit. However, the paper did find that provisions in the Petroleum Industry Bill (PIB) (Draft) and National Oil Spill Detection and Response Agency (NOSDRA) Amendment Bill offers some prospects that address some of the limitations within the reviewed framework.
    • An Analysis of the Impact of Low Cost Airlines on Tourist Stay Duration and Expenditures

      Qiu, W.; Rudkin, Simon; Sharma, Abhijit (2017-09-14)
      Low cost carriers (budget airlines) have a significant share of the air travel market, but little research has been done to understand the distributional effect of their operation on key tourism indicators such as length of stay and expenditure. Using data on European visitors to the United Kingdom we demonstrate how counterfactual decompositions can inform us of the true impact of mode of travel. Passengers on low cost carriers tend to spend less, particularly at the upper end of the distribution. Budget airline users typically stay longer, though differences in characteristics of observed groups are important to this result. Counterfactual techniques provide additional valuable insights not obtained from conventional econometric models used in the literature. Illustrating an application of the methodology to policy we demonstrate that enabling respondents to extend their stay generates the greatest additional expenditure at the lower end of the distribution. We also show nationality is a significant characteristic, with important impacts across the expenditure distribution.
    • Applicant perspectives during selection: a review addressing "so what?," " what's new?." and "where to next?"

      McCarthy, J.M.; Bauer, T.N.; Truxillo, D.M.; Anderson, Neil; Costa, Ana-Cristina; Ahmed, S.M. (2017-07-01)
      We provide a comprehensive but critical review of research on applicant reactions to selection procedures published since 2000 (n = 145), when the last major review article on applicant reactions appeared in the Journal of Management. We start by addressing the main criticisms levied against the field to determine whether applicant reactions matter to individuals and employers (“So what?”). This is followed by a consideration of “What’s new?” by conducting a comprehensive and detailed review of applicant reaction research centered upon four areas of growth: expansion of the theoretical lens, incorporation of new technology in the selection arena, internationalization of applicant reactions research, and emerging boundary conditions. Our final section focuses on “Where to next?” and offers an updated and integrated conceptual model of applicant reactions, four key challenges, and eight specific future research questions. Our conclusion is that the field demonstrates stronger research designs, with studies incorporating greater control, broader constructs, and multiple time points. There is also solid evidence that applicant reactions have significant and meaningful effects on attitudes, intentions, and behaviors. At the same time, we identify some remaining gaps in the literature and a number of critical questions that remain to be explored, particularly in light of technological and societal changes.
    • 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.
    • The Applications of Kaizen Methods in Project Settings: Applied Study in Jordan

      Al-Hyari, K.A.; Abu Zaid, M.K.; Arabeyyat, O.S.; Al-Qwasmeh, L.; Haffar, Mohamed (The TQM Journal, 2019)
      Purpose. The purpose of this paper is to explore the results of implementing the Kaizen approach in a caravan repairing project near the Jordanian–Syrian border in the Zaatari camp. Design/methodology/approach. The study is based on the exploratory qualitative research approach. The data were collected through interviews and on-site observation with employees who were involved with the caravan maintenance project and have adequate knowledge and information about this project. In this process, a fishbone diagram, a quality control tool, is used to recognize and explain a causal-effect relationship under the selected Kaizen theme. Findings. The findings suggest that the Kaizen approach was economical in terms of both money and time. Also, waste elimination can be achieved through a variety of tools and easily combined with the Kaizen approach. Implementing the Kaizen approach is an effective and reliable system that allows for the tackling of all types of inefficiencies in the caravan repairing project. Research limitations/implications. The findings of this study will help policy makers and managers put together suitable and effective policies that will assist those firms in overcoming the demands of customers and competitors to deliver high quality, inexpensive products in less time through the application of the Kaizen approach. This, in turn, will lead to improved quality, efficiency and productivity in the most cost-effective way. However, these results should not be generalized since they are only confined to the context of caravan repairing project. Originality/value. Very little research has been done that takes into account the contexts of developing countries. Additionally, most literature presents the use of Kaizen applications only in the manufacturing or production sectors. This study is the first to implement Kaizen as a continuous improvement technique in a caravan repairing project – a job shop industry different from the repetitive batch work environment that is usually associated with implementation of Kaizen. The current research should be of great interest to researchers, managers and professionals who wish to apply Kaizen approach as it is sustainable over time in similar projects.
    • Arbeitsbeziehungsmodelle im Vergleich: Deutsche und amerikanische Tochterunternehmen in Großbritannien.

      McDonald, Frank; Heise, A.; Tüselmann, H-J.; Allen, M. (2009)
      Das hoch regulierte deutsche Arbeitsbeziehungsmodell steht immer wieder in der Kritik. Gelegentlich wird es als Grund für die Abwanderung deutscher Unternehmen ins weniger regulierte, mitbestimmungsfreie Ausland genannt, gelegentlich als mitverantwortlich für die angeblich geringen ausländischen Direktinvestitionen in Deutschland oder eine Unterbewertung deutscher Aktiengesellschaften angesehen ¿ das deutsche Modell sei eben international nicht anschlussfähig. Der Beitrag untersucht deutsche und amerikanische Tochterunternehmen in Gro¿britannien, weil einerseits das permissive Umfeld im Vereinten Königreich alle denkbaren Arbeitsbeziehungsstrukturen ¿ kollektive, direkte, Mischformen oder reines Managementprärogativ ¿ zulässt, andererseits mit den US-Tochtergesellschaften das internationale Benchmark-Modell Multinationaler Unternehmen als Vergleichsgruppe dient. Es wird danach gefragt, ob sich spezifische Arbeitsbeziehungsmodelle finden lassen und ob diese signifikante Einflüsse auf die betriebliche Performanz haben.
    • Are immigrants in favour of immigration? Evidence from England and Wales

      Braakmann, N.; Waqas, Muhammad; Wildman, J. (2017-02)
      Using the UK Citizenship Survey for the years 2007–2010, this paper investigates how immigrants view immigration and how these views compare to the views of natives. Immigrants who have been in the UK longer are similar to natives in being opposed to further immigration, while recent immigrants are more in favour of further immigration. Labour market concerns do not play a large role for either immigrants or natives. However, there is some evidence that financial and economic shocks can increase anti-immigration sentiments.
    • Are U.K. Citizens Satisfied With E-Government Services? Identifying and Testing Antecedents of Satisfaction

      Weerakkody, Vishanth J.P.; Irani, Zahir; Lee, Habin; Hindi, N.; Osman, I.H. (2016-08)
      Citizens’ satisfaction is acknowledged as one of the most significant influences for e-government adoption and diffusion. This study examines the impact of information quality, system quality, trust, and cost on user satisfaction of e-government services. Using a survey, this study collected 1518 valid responses from e-government service adopters across the United Kingdom. Our empirical outcomes show the five factors identified in this study have a significant impact on U.K. citizens’ satisfaction with e-government services.
    • Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy

      Dwivedi, Y.K.; Hughes, L.; Ismagilova, Elvira; Aarts, G.; Coombs, C.; Crick, T.; Duan, Y.; Dwivedi, R.; Edwards, J.; Eirug, A.; et al. (Elsevier, 2021-04)
      As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.
    • Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations

      Spanaki, K.; Karafili, E.; Sivarajah, Uthayasankar; Despoudi, S.; Irani, Zahir (2021)
      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.
    • 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.