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    A bibliometric overview of how critical success factors influence on enterprise resource planning implementations

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    [EN] This work conducts bibliometric research into publications during the period 1999 to early 2018. The aim of this study is to help gain a better understanding of the publications covering CSF and ERP implementations all over the world. The study includes the most cited articles, most cited authors and most influential institutions as well as the most prolific countries. A database of 301 articles from 86 different institutions and 48 countries has been documented and analyzed. The results indicate that this field is growing significantly over time and a small number of US institutions are currently the most productive in this field.Vicedo Payà, P.; Gil Gómez, H.; Oltra Badenes, RF.; Guerola-Navarro, V. (2020). A bibliometric overview of how critical success factors influence on enterprise resource planning implementations. Journal of Intelligent & Fuzzy Systems. 38(5):5475-5487. https://doi.org/10.3233/JIFS-179639S54755487385Bradford, M., & Florin, J. (2003). 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Scholarly Influence in the Field of Management: A Bibliometric Analysis of the Determinants of University and Author Impact in the Management Literature in the Past Quarter Century. Journal of Management, 34(4), 641-720. doi:10.1177/0149206308319533Goh, C.-H., Holsapple, C. W., Johnson, L. E., & Tanner, J. R. (1997). Evaluating and classifying POM journals. Journal of Operations Management, 15(2), 123-138. doi:10.1016/s0272-6963(96)00102-7Pilkington, A., & Meredith, J. (2008). The evolution of the intellectual structure of operations management-1980-2006: A citation/co-citation analysis. Journal of Operations Management, 27(3), 185-202. doi:10.1016/j.jom.2008.08.001Stonebraker, J. S., Gil, E., Kirkwood, C. W., & Handfield, R. B. (2011). Impact factor as a metric to assess journals where OM research is published. Journal of Operations Management, 30(1-2), 24-43. doi:10.1016/j.jom.2011.05.002Fagerberg, J., Fosaas, M., & Sapprasert, K. (2012). Innovation: Exploring the knowledge base. Research Policy, 41(7), 1132-1153. doi:10.1016/j.respol.2012.03.008Shiau, W.-L., Dwivedi, Y. K., & Tsai, C.-H. (2015). Supply chain management: exploring the intellectual structure. Scientometrics, 105(1), 215-230. doi:10.1007/s11192-015-1680-9Merigó, J. M., Cancino, C. A., Coronado, F., & Urbano, D. (2016). Academic research in innovation: a country analysis. Scientometrics, 108(2), 559-593. doi:10.1007/s11192-016-1984-4Cancino, C., Merigó, J. M., Coronado, F., Dessouky, Y., & Dessouky, M. (2017). Forty years of Computers & Industrial Engineering: A bibliometric analysis. Computers & Industrial Engineering, 113, 614-629. doi:10.1016/j.cie.2017.08.033Laengle, S., Merigó, J. M., Miranda, J., Słowiński, R., Bomze, I., Borgonovo, E., … Teunter, R. (2017). Forty years of the European Journal of Operational Research: A bibliometric overview. European Journal of Operational Research, 262(3), 803-816. doi:10.1016/j.ejor.2017.04.027Martínez-López, F. J., Merigó, J. M., Valenzuela-Fernández, L., & Nicolás, C. (2018). Fifty years of the European Journal of Marketing: a bibliometric analysis. European Journal of Marketing, 52(1/2), 439-468. doi:10.1108/ejm-11-2017-0853Merigó, J. M., Pedrycz, W., Weber, R., & de la Sotta, C. (2018). Fifty years of Information Sciences: A bibliometric overview. Information Sciences, 432, 245-268. doi:10.1016/j.ins.2017.11.054Merigó, J. M., & Yang, J.-B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37-48. doi:10.1016/j.omega.2016.12.004Tur-Porcar, A., Mas-Tur, A., Merigó, J. M., Roig-Tierno, N., & Watt, J. (2018). A Bibliometric History of the Journal of Psychology Between 1936 and 2015. The Journal of Psychology, 152(4), 199-225. doi:10.1080/00223980.2018.1440516Valenzuela, L. M., Merigó, J. M., Johnston, W. J., Nicolas, C., & Jaramillo, J. F. (2017). Thirty years of the Journal of Business & Industrial Marketing: a bibliometric analysis. Journal of Business & Industrial Marketing, 32(1), 1-17. doi:10.1108/jbim-04-2016-0079Merigó, J. M., Blanco-Mesa, F., Gil-Lafuente, A. M., & Yager, R. R. (2016). Thirty Years of theInternational Journal of Intelligent Systems: A Bibliometric Review. International Journal of Intelligent Systems, 32(5), 526-554. doi:10.1002/int.21859Wang, W., Laengle, S., Merigó, J. M., Yu, D., Herrera-Viedma, E., Cobo, M. J., & Bouchon-Meunier, B. (2018). A Bibliometric Analysis of the First Twenty-Five Years of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 26(02), 169-193. doi:10.1142/s0218488518500095Yu D. , Xu Z. , Kao Y. , Lin C.T. , “The Structure and Citation Landscape of IEEE Transactions on Fuzzy Systems (1994–2015)”, IEEE Transactions on Fuzzy Systems 26(2) (2018).Tang, M., Liao, H., & Su, S.-F. (2018). A Bibliometric Overview and Visualization of the International Journal of Fuzzy Systems Between 2007 and 2017. International Journal of Fuzzy Systems, 20(5), 1403-1422. doi:10.1007/s40815-018-0484-5LÓPEZ-HERRERA, A. G., HERRERA-VIEDMA, E., COBO, M. J., MARTÍNEZ, M. A., KOU, G., & SHI, Y. (2012). A CONCEPTUAL SNAPSHOT OF THE FIRST DECADE (2002–2011) OF THE INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING. International Journal of Information Technology & Decision Making, 11(02), 247-270. doi:10.1142/s0219622012400020Cobo, M. J., Martínez, M. A., Gutiérrez-Salcedo, M., Fujita, H., & Herrera-Viedma, E. (2015). 25years at Knowledge-Based Systems: A bibliometric analysis. Knowledge-Based Systems, 80, 3-13. doi:10.1016/j.knosys.2014.12.035Yu, D., & Shi, S. (2015). Researching the development of Atanassov intuitionistic fuzzy set: Using a citation network analysis. Applied Soft Computing, 32, 189-198. doi:10.1016/j.asoc.2015.03.027Yu, D., Xu, Z., & Wang, W. (2018). Bibliometric analysis of fuzzy theory research in China: A 30-year perspective. Knowledge-Based Systems, 141, 188-199. doi:10.1016/j.knosys.2017.11.018Yu, D. (2015). A scientometrics review on aggregation operator research. Scientometrics, 105(1), 115-133. doi:10.1007/s11192-015-1695-2Zhang, Y., Chen, H., Lu, J., & Zhang, G. (2017). Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016. Knowledge-Based Systems, 133, 255-268. doi:10.1016/j.knosys.2017.07.011Muhuri, P. K., Shukla, A. K., Janmaijaya, M., & Basu, A. (2018). Applied soft computing: A bibliometric analysis of the publications and citations during (2004–2016). Applied Soft Computing, 69, 381-392. doi:10.1016/j.asoc.2018.03.041Van Eck, N. J., & Waltman, L. (2009). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. doi:10.1007/s11192-009-0146-

    Double Whammy - How ICT Projects are Fooled by Randomness and Screwed by Political Intent

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    The cost-benefit analysis formulates the holy trinity of objectives of project management - cost, schedule, and benefits. As our previous research has shown, ICT projects deviate from their initial cost estimate by more than 10% in 8 out of 10 cases. Academic research has argued that Optimism Bias and Black Swan Blindness cause forecasts to fall short of actual costs. Firstly, optimism bias has been linked to effects of deception and delusion, which is caused by taking the inside-view and ignoring distributional information when making decisions. Secondly, we argued before that Black Swan Blindness makes decision-makers ignore outlying events even if decisions and judgements are based on the outside view. Using a sample of 1,471 ICT projects with a total value of USD 241 billion - we answer the question: Can we show the different effects of Normal Performance, Delusion, and Deception? We calculated the cumulative distribution function (CDF) of (actual-forecast)/forecast. Our results show that the CDF changes at two tipping points - the first one transforms an exponential function into a Gaussian bell curve. The second tipping point transforms the bell curve into a power law distribution with the power of 2. We argue that these results show that project performance up to the first tipping point is politically motivated and project performance above the second tipping point indicates that project managers and decision-makers are fooled by random outliers, because they are blind to thick tails. We then show that Black Swan ICT projects are a significant source of uncertainty to an organisation and that management needs to be aware of

    Social Indicators for Arctic Mining

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    This paper reviews and assesses the state of the data to describe and monitor mining trends in the pan-Arctic. It constructs a mining index and discusses its value as a social impact indicator and discusses drivers of change in Arctic mining. The widely available measures of mineral production and value are poor proxies for economic effects on Arctic communities. Trends in mining activity can be characterized as stasis or decline in mature regions of the Arctic, with strong growth in the frontier regions. World prices and the availability of large, undiscovered and untapped resources with favorable access and low political risk are the biggest drivers for Arctic mining, while climate change is a minor and locally variable factor. Historical data on mineral production and value is unavailable in electronic format for much of the Arctic, specifically Scandinavia and Russia; completing the historical record back to 1980 will require work with paper archives. The most critically needed improvement in data collection and reporting is to develop comparable measures of employment: the eight Arctic countries each use different definitions of employment, and different methodologies to collect the data. Furthermore, many countries do not report employment by county and industry, so the Arctic share of mining employment cannot be identified. More work needs to be done to develop indicator measures for ecosystem service flows. More work also needs to be done developing conceptual models of effects of mining activities on fate control, cultural continuity and ties to nature for local Arctic communities

    Integrating IVHM and Asset Design

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    Integrated Vehicle Health Management (IVHM) describes a set of capabilities that enable effective and efficient maintenance and operation of the target vehicle. It accounts for the collection of data, conducting analysis, and supporting the decision-making process for sustainment and operation. The design of IVHM systems endeavours to account for all causes of failure in a disciplined, systems engineering, manner. With industry striving to reduce through-life cost, IVHM is a powerful tool to give forewarning of impending failure and hence control over the outcome. Benefits have been realised from this approach across a number of different sectors but, hindering our ability to realise further benefit from this maturing technology, is the fact that IVHM is still treated as added on to the design of the asset, rather than being a sub-system in its own right, fully integrated with the asset design. The elevation and integration of IVHM in this way will enable architectures to be chosen that accommodate health ready sub-systems from the supply chain and design trade-offs to be made, to name but two major benefits. Barriers to IVHM being integrated with the asset design are examined in this paper. The paper presents progress in overcoming them, and suggests potential solutions for those that remain. It addresses the IVHM system design from a systems engineering perspective and the integration with the asset design will be described within an industrial design process

    Measuring New Zealand students' international capabilities: an exploratory study

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    Executive summary: This exploratory study considers the feasibility of measuring New Zealand senior secondary (Years 12/13) students’ \u27international capabilities\u27. Building on background work undertaken by the Ministry’s International Division, the methodology had three components. An analysis of New Zealand and international literature pertinent to assessment of international capabilities was undertaken. Small-group workshops were conducted with 13 secondary school staff, 21 senior secondary students, and 10 adults with relevant expertise and perspectives about expression of international capabilities in post-school life. The third component was a visit to the Australian Council for Educational Research (ACER) to discuss similar assessment challenges in their work. What are international capabilities and why measure them? Broadly speaking, international capabilities can be described as the knowledge, skills, attitudes, and values that enable people to live, work, and learn across international and intercultural contexts. These capabilities, or aspects of them, are described by a range of terms in the literature, including international knowledge and skills, global competence, global/international citizenship, global/international mindedness, and intercultural competence. The Ministry’s background work suggests international capabilities can be seen as “the international and intercultural facet of the key competencies”. Focusing on development of New Zealand students’ international capabilities could, among other things: help make more explicit what the key competencies look like when they’re applied in intercultural or international situations provide a way to open a conversation with schools about internationalisation of education support New Zealand schools to better understand, analyse, and talk about the intercultural/internationalising learning activities they already do  open conversations about cultural diversity in New Zealand schools and communities and the opportunities this can provide for intercultural learning  create an opportunity for schools to revisit parts of The New Zealand Curriculum (Ministry of Education, 2007) vision, including the notion of students being “international citizens”  encourage schools to connect with businesses and the wider community to develop learning opportunities that help students to develop innovation and entrepreneurial capabilities and connect these capabilities with intercultural and international contexts. Measuring New Zealand students’ international capabilities could help us to better understand how the schooling system helps to “increase New Zealanders’ knowledge and skills to operate effectively across cultures.” It could feed into ongoing developments within educational policy and practice to better align curriculum, assessment, and pedagogy with the high-level goals of The New Zealand Curriculum. Looking further into the future, knowledge about how our schools support the development of students’ international capabilities could assist with longer-term redesign of educational policy, curriculum, assessment, and qualifications to keep pace as demands and pressures on learning and schooling continue to change through the 21st century

    The ubiquity of state fragility : fault lines in the categorisation and conceptualisation of failed and fragile states

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    In the last three decades, the categories of fragile and failed states have gained significant importance in the fields of law, development, political science and international relations. The wider discourse plays a key role in guiding the policies of international community and multilateral institutions and has also led to the emergence of a plethora of indices and rankings to measure and classify state fragility. A critical and theoretical analysis of these matrices brings to light three crucial aspects that the current study takes as its departure point. First, the formulas and conceptual paradigms show that fragility of states is far more ubiquitous than is generally recognised, and that the so-called successful and stable states are a historical, political and geographical anomaly. Second, in the absence of an agreed definition of a successful state or even that of a failed or fragile state, the indicators generally rely on negative definitions to delineate the failed and fragile state. They generally suggest that their reading is built on a Weberian ideal–typical state, which takes the idea of monopoly over legitimate violence as its starting point. The third and final point suggests that the indicators and rankings, misconstruing the Weberian ideal–typical state, actually end up comparing fragile states against an ideal–mythical state. The article argues that this notional state is not only ahistorical and apolitical, but it also carries the same undertones that have been the hallmark of theories of linear development, colonialism and imperialism

    Integrating IVHM and asset design

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    Integrated Vehicle Health Management (IVHM) describes a set of capabilities that enable effective and efficient maintenance and operation of the target vehicle. It accounts for the collecting of data, conducting analysis, and supporting the decision-making process for sustainment and operation. The design of IVHM systems endeavours to account for all causes of failure in a disciplined, systems engineering, manner. With industry striving to reduce through-life cost, IVHM is a powerful tool to give forewarning of impending failure and hence control over the outcome. Benefits have been realised from this approach across a number of different sectors but, hindering our ability to realise further benefit from this maturing technology, is the fact that IVHM is still treated as added on to the design of the asset, rather than being a sub-system in its own right, fully integrated with the asset design. The elevation and integration of IVHM in this way will enable architectures to be chosen that accommodate health ready sub-systems from the supply chain and design trade-offs to be made, to name but two major benefits. Barriers to IVHM being integrated with the asset design are examined in this paper. The paper presents progress in overcoming them, and suggests potential solutions for those that remain. It addresses the IVHM system design from a systems engineering perspective and the integration with the asset design will be described within an industrial design process

    M3 strategic decision-making under uncertainty : modes, models, & momentum

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    PhD ThesisThe M3 theory contributes to new knowledge through original research and advanced scholarship by introducing a descriptive framework for strategic decision-making in uncertain and changing environments. Aided by the introduction of a Social Realism epistemology into management literature it is differentiated its ability to present complex strategic positions as essentialist (via modes), relative (via models), and dynamic (via momentum) to plot the dynamic trajectory of innovation emergence, change, adaptation and transformation over time. At a fundamental level, the M3 theory identifies a consistent set of rules that decision-makers intentionally or unintentionally engage with or ignore to take strategic positions based on four integrated yet polarized pairs of modes: systematic (+S) vs. responsive (+R) strategies, and conforming (+C), vs. differentiating (+D) strategies. Systematic strategies (+S) is the mode dedicated to increasingly sophisticated rational cognitive processes; these processes plan, purposefully compartmentalize, and regulate emotions. Responsive strategies (+R) conversely, is the mode dedicated to increasingly sensitized intuitive processes; these processes are reflective, associative, action-orientated and emotionally expressive. The second pair of modes intersects with the two aforementioned modes with conforming strategies (+C) moving towards convergence by adapting or conveying socially perceived superior norms; these processes include the exploitation of existing power. In contrast, differentiating strategies (+D) represents the mode dedicated to diverging from traditional norms with empowerment for exploration. These processes include novelty-seeking, sabotage, risk-taking, experimentation, play, flexibility, discovery, and higher levels of innovation. Finally, the dynamic (momentum) component informs how strategic modes and models under uncertainty improve and adjust in sophistication under the pressure and demands of the four drives (+L). The M3 theory is informed by three distinct but interrelated and simultaneous empirical streams of data: (i) field data from five ethnographic case studies, with research participant feedback loops; (ii) the mapping of 200+ peer reviewed decision-making models; and (iii) prototyping the principles in the construction of the emergent M3 theory
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