786 research outputs found

    Strategy Tripod Perspective on the Determinants of Airline Efficiency in A Global Context: An Application of DEA and Tobit Analysis

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    The airline industry is vital to contemporary civilization since it is a key player in the globalization process: linking regions, fostering global commerce, promoting tourism and aiding economic and social progress. However, there has been little study on the link between the operational environment and airline efficiency. Investigating the amalgamation of institutions, organisations and strategic decisions is critical to understanding how airlines operate efficiently. This research aims to employ the strategy tripod perspective to investigate the efficiency of a global airline sample using a non-parametric linear programming method (data envelopment analysis [DEA]). Using a Tobit regression, the bootstrapped DEA efficiency change scores are further regressed to determine the drivers of efficiency. The strategy tripod is employed to assess the impact of institutions, industry and resources on airline efficiency. Institutions are measured by global indices of destination attractiveness; industry, including competition, jet fuel and business model; and finally, resources, such as the number of full-time employees, alliances, ownership and connectivity. The first part of the study uses panel data from 35 major airlines, collected from their annual reports for the period 2011 to 2018, and country attractiveness indices from global indicators. The second part of the research involves a qualitative data collection approach and semi-structured interviews with experts in the field to evaluate the impact of COVID-19 on the first part’s significant findings. The main findings reveal that airlines operate at a highly competitive level regardless of their competition intensity or origin. Furthermore, the unpredictability of the environment complicates airline operations. The efficiency drivers of an airline are partially determined by its type of business model, its degree of cooperation and how fuel cost is managed. Trade openness has a negative influence on airline efficiency. COVID-19 has toppled the airline industry, forcing airlines to reconsider their business model and continuously increase cooperation. Human resources, sustainability and alternative fuel sources are critical to airline survival. Finally, this study provides some evidence for the practicality of the strategy tripod and hints at the need for a broader approach in the study of international strategies

    A novel shipyard performance measurement approach through an integrated Value Engineering and Risk Assessment (VENRA) framework using a hybrid MCDM tool

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    As the ship manufacturer, including new building, repair, and conversion, the shipyard significantly impacts the ship’s quality and performance output. A well-planned ship design that will be built requires skilled shipbuilders who can fulfil quality, timeline, budget, safety, and environmental requirements from shipowners, rules, and regulations. Since diverse and multiple factors influence its efficiency and product output, evaluating the shipyard’s performance is critical for a more impactful and strategic advancement approach. This research aims to apply the novel integrated Value Engineering and Risk Assessment (VENRA) framework, which integrates five main elements: technical, business, external, personnel’s safety, and environment, for measuring shipyard performance. This paper demonstrates the VENRA business element in more detail and applies it to a shipyard case study. Integrated fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) and Weighted Evaluation Technique (WET) are used to analyse the criteria’s interrelationship by determining the cause-effect group and weight ranking prioritisation. The objective grading system is developed to determine the shipyard’s performance score based on multi-resource qualitative and quantitative data. The shipyard’s case study demonstrates that ‘delivery time’ remains the most critical and influential aspect of the business elements’ performance. In addition, the top three most important factors, ‘delivery time’, ‘financial report condition’, and ‘ship manufacturing cost’, must be taken into account, as they directly influence the shipyard’s performance. Despite being a minor element, ‘innovation and human resources’ is the second most influential factor after ‘delivery time’. The case study’s results demonstrate that the framework can simultaneously identify cause-and-effect criteria groups while prioritising the most critical factors via methodologies

    NEMISA Digital Skills Conference (Colloquium) 2023

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    The purpose of the colloquium and events centred around the central role that data plays today as a desirable commodity that must become an important part of massifying digital skilling efforts. Governments amass even more critical data that, if leveraged, could change the way public services are delivered, and even change the social and economic fortunes of any country. Therefore, smart governments and organisations increasingly require data skills to gain insights and foresight, to secure themselves, and for improved decision making and efficiency. However, data skills are scarce, and even more challenging is the inconsistency of the associated training programs with most curated for the Science, Technology, Engineering, and Mathematics (STEM) disciplines. Nonetheless, the interdisciplinary yet agnostic nature of data means that there is opportunity to expand data skills into the non-STEM disciplines as well.College of Engineering, Science and Technolog

    Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5

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    This ïŹfth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different ïŹelds of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some theoretical advances on DSmT, dealing mainly with modiïŹed Proportional ConïŹ‚ict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classiïŹers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identiïŹcation of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classiïŹcation. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classiïŹcation, and hybrid techniques mixing deep learning with belief functions as well

    Strategies Community Bank Managers Use to Address Rising Financial Regulations Compliance Costs

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    Increasing financial regulations compliance costs have the potential for adverse business outcomes for community banks. Community bank managers are concerned about increasing financial regulations compliance costs because it is the number one predictor of community banks’ failures. Grounded in the resources-based view theory, the purpose of this qualitative single case study was to explore strategies that community bank managers use to mitigate increasing financial regulations compliance costs. The participants were 10 community bank managers and senior staff of a community bank in Maryland who successfully mitigated increasing financial regulations compliance costs. Data were collected using semistructured interviews and reviewing the organization’s internal documents. Through thematic analysis, four themes were identified: training, leadership, proactive approach to regulations, and organization retooling. A key recommendation is for community bank managers to stimulate employees’ innovation and creativity skills through the mediating role of a transformational leadership style. The implications for positive social change include the potential for community banks to improve revenues and profits so they can contribute to the development of the local community they serve

    Sustainable and Resilient Supplier Selection in the Context of Circular Economy: An Ontology-Based Model

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    Purpose: Selecting the optimal supplier is a challenging managerial decision that involves several dimensions that vary over time. Despite the considerable attention devoted to this issue, knowledge is required to be updated and analyzed in this field. This paper reveals new opportunities to advance supplier selection research from a multidimensional perspective. Moreover, this study aims to formalise supplier selection knowledge to enable the appropriate selection of sustainable, resilient and circular criteria. Design/methodology/approach: This study is developed in two stages. First, a systematic literature review is conducted to select relevant papers. Descriptive and thematic analyses are employed to analyze criteria, solving approaches and case studies. Second, a criterion knowledge-based framework is developed and validated by experts to be implemented as ontology using Protégé software. Findings: (1) Evaluating the viability of suppliers need further studies to integrate other criteria and to align supplier selection objectives with research advancement; (2) Artificial intelligence tools are needed to revolutionize and optimize the traditional techniques used to solve this problem; (3) Literature lucks frameworks for specific sectors; (4) The proposed ontology provides a consistent criteria knowledge base. Practical Implications: For academics, the results of this study highlight opportunities to improve the viable supplier selection process. From a managerial perspective, the proposed ontology can assist managers in selecting the appropriate criteria. Future works can enrich the proposed ontology and integrate this knowledge base into an information system. Originality/value: This study contributes to promoting knowledge about viable supplier selection. Capitalizing the knowledge base of criteria in a computer-interpretable manner supports the digitalization of this critical decision

    Tradition and Innovation in Construction Project Management

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    This book is a reprint of the Special Issue 'Tradition and Innovation in Construction Project Management' that was published in the journal Buildings

    SELECTION OF SOCIAL MEDIA PLATFORMS USING FUZZY PROMETHEE METHOD WITH DIFFERENT SCENARIO TYPES

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    Social media are widely and mostly utilized in many areas to increase advertising, client relations, tourism, journey and many others by means of members or organizations. Social Media Platforms (SMPs) are becoming increasingly popular in the world. The selection of SMPs, which might be widely and mostly utilized by members or organizations, becomes a critical and complex problem. Moreover, some problems that need to be investigated which consist of the reason for the use of different SMPs, purpose, and frequency of use. In this study, we have investigated to explain these problems via questionnaire which evaluates by undergraduate pupils (N = 173). Therefore, we have created twelve different scenarios that are different weights and thresholds and handled the selection and ranking of SMPs by fuzzy Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) I and II. Consequently, we able to conclude that "Which SMPs were more preferred?", "What are the reasons for selection of SMPs? and "Which criteria are more important for this selection?". In addition, this study can be guiding an infrastructure for the content of new SPMs in the future

    Strategies Community Bank Managers Use to Address Rising Financial Regulations Compliance Costs

    Get PDF
    Increasing financial regulations compliance costs have the potential for adverse business outcomes for community banks. Community bank managers are concerned about increasing financial regulations compliance costs because it is the number one predictor of community banks’ failures. Grounded in the resources-based view theory, the purpose of this qualitative single case study was to explore strategies that community bank managers use to mitigate increasing financial regulations compliance costs. The participants were 10 community bank managers and senior staff of a community bank in Maryland who successfully mitigated increasing financial regulations compliance costs. Data were collected using semistructured interviews and reviewing the organization’s internal documents. Through thematic analysis, four themes were identified: training, leadership, proactive approach to regulations, and organization retooling. A key recommendation is for community bank managers to stimulate employees’ innovation and creativity skills through the mediating role of a transformational leadership style. The implications for positive social change include the potential for community banks to improve revenues and profits so they can contribute to the development of the local community they serve

    Examining justice issues in minigrids for rural electrification: a participatory and interdisciplinary study

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    Electricity is necessary for many basic needs, but globally over 700 million people lack access. Economic modelling suggests that minigrids or solar home systems are often the most cost-effective solution in unelectrified rural areas. There has been an increase in the role of the private sector in delivering these projects, which leads to justice questions about implementation. This thesis uses participatory and interdisciplinary approaches to explore justice issues in minigrids for rural electrification in Tanzania. Six rural minigrids were visited across the country, with one village, Mpale, forming the main case study. Data collection methods include interviews, focus groups, surveys, observations and participatory activities. Data were analysed using a grounded coding methodology in NVivo and through economic and technical approaches. This included a distributional analysis of tariff costs and a comparison of measured load profiles with customer survey data. The use of participatory methods in this research provided additional insights, developed through more equal relationships with communities, as well as outputs that benefited the communities I worked with and the minigrid sector in Tanzania. I have found that energy justice issues manifest in many ways. Poorer households often pay more per unit of electricity than others. Under some tariffs, households self-disconnect, which also influences the load profiles of minigrids. Community perspectives are often only considered to a limited amount and are not given adequate information. There is discordance between community expectations and project realities, particularly regarding tariff costs. Load-profile modelling doesn’t adequately consider the local context, particularly the affordability of tariffs and desired demand compared to actual usage. I conclude that there needs to be consideration of justice issues in rural minigrids. Increased participation of communities in policy and project planning would help to ensure their needs are better considered, which may also increase the likelihood of projects being successful
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