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Journal articles on the topic 'Sustainable decision-Making'

Author: Grafiati
Published: 25 May 2024

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1

Hersh, M. A. "Sustainable decision making and decision support systems." Computing & Control Engineering Journal 9, no. 6 (December 1, 1998): 289–95. http://dx.doi.org/10.1049/cce:19980610.

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2

Blašková, Martina, Irena Figurska, Ruta Adamoniene, Kristína Poláčková, and Rudolf Blaško. "Responsible Decision making for Sustainable Motivation." Sustainability 10, no. 10 (September 23, 2018): 3393. http://dx.doi.org/10.3390/su10103393.

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This article examines motivation and the quality of decision making’s effect on motivation as important preconditions for organizational sustainability. The article is focused on an examination of the content and intensity of perceived motivation, and the forms of decisions that were made while motivating people. Motivation (from a theoretical and empirical point of view) is related to crucial processes of human potential development and motivation. The analysis, synthesis and generalization of knowledge related to sustainability, motivation and decision making in human potential motivation are presented in the theoretical part of the article. The empirical part presents the results of sociological questionnaire, focusing on the area of decision making in motivation that was carried out on sample of respondents in the Slovak Republic (n = 500), Poland (n = 390) and Lithuania (n = 226). The results confirm a strong correlation between the level of the motivation and the quality of key processes of development of human potential (leadership, appraisal, communication, and the creation of an atmosphere of trust). In all examined countries and processes, the calculated values of the chi-square test were significantly higher than the table value (level of significance = 0.05). The section describing the results contains a proposed content-componential model of decision making in affecting and building sustainable motivation.
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Malsch, Ineke, Vrishali Subramanian, Elena Semenzin, Danail Hristozov, and Antonio Marcomini. "Supporting decision-making for sustainable nanotechnology." Environment Systems and Decisions 35, no. 1 (February 13, 2015): 54–75. http://dx.doi.org/10.1007/s10669-015-9539-4.

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4

McLaren, Andrew R., and Slobodan P. Simonovic. "Data needs for sustainable decision making." International Journal of Sustainable Development & World Ecology 6, no. 2 (June 1999): 103–13. http://dx.doi.org/10.1080/13504509909469999.

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Faber, Michael Havbro, and Rüdiger Rackwitz. "Sustainable Decision Making in Civil Engineering." Structural Engineering International 14, no. 3 (August 2004): 237–42. http://dx.doi.org/10.2749/101686604777963919.

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Hayles, C., M. Graham, and P. S. W. Fong. "Value management for sustainable decision making." Proceedings of the Institution of Civil Engineers - Municipal Engineer 163, no. 1 (March 2010): 43–50. http://dx.doi.org/10.1680/muen.2010.163.1.43.

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Olaerts, Mieke. "Sustainable Decision Making and Directors Duties." European Company Law 20, Issue 5 (October 1, 2023): 94–96. http://dx.doi.org/10.54648/eucl2023017.

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8

Hersh, M. A. "Sustainable decision making: the role of decision support systems." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 29, no. 3 (1999): 395–408. http://dx.doi.org/10.1109/5326.777075.

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9

Schwab, Leila, Stefan Gold, Nathan Kunz, and Gerald Reiner. "Sustainable business growth: exploring operations decision-making." Journal of Global Responsibility 8, no. 1 (May 8, 2017): 83–95. http://dx.doi.org/10.1108/jgr-11-2016-0031.

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Purpose The purpose of this paper is to explore how operations decision-making may keep the growing firms within the boundaries of corporate and societal sustainability. Design/methodology/approach The authors classify operations decisions during growth periods according to the three dimensions of the triple bottom line (economic, social and environmental). By means of a longitudinal case study of a family-owned wood construction firm that is in a process of intense growth, the authors identify, visually represent and analyse the complex sequences of selected managerial operations decisions. Findings The empirical data suggest that operations decisions made by managers during growth periods follow specific patterns. From the analysis, the authors derive various research propositions that investigate how a well-understood and therefore efficient and effective decision-making process can facilitate sustainable business growth. Research limitations/implications The findings offer opportunities for future studies to zoom in on specific parts of the decision-making process during growth periods. Moreover, given the exploratory nature of this study, future research should test hypotheses derived from the research propositions. Practical implications This study investigates operations decision-making during growth, which is crucial for guiding companies through this complex transition phase. Originality/value This conceptual and empirical analysis explores new theory and contributes to the vastly under-researched subject of sustainable business growth.
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10

Choi, Ji-Hung, Taewan Kim, and Sang-Uk Jung. "Sustainable Decision Making for Store Brand Product." Sustainability 10, no. 11 (October 30, 2018): 3944. http://dx.doi.org/10.3390/su10113944.

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We investigate a multi-brands sustainable channel coordination problem where a national brand manufacturer sells a product through two local retailers competing against their own store brand product, respectively. We shows how the retailers strategically optimize the price and quality of private brands given the customer tastes and the production costs of the store brands in order to make their store brands sustainable. We identify two underlying strategic forces; a competitive force, and a quality force. First, we find that retailers have an incentive to position their store brand far away from the national brand in order to maximize monopolistic power. This strategic force attenuate the incentives for customer to switch to other retailer’s store brands. One the other hand, we show that the retailers prefer increasing the store brand’s quality to get more profit margin when the production cost is relatively high as well.
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11

Ak, Hacer, and Washington Braida. "Sustainable municipal solid waste management decision making." Management of Environmental Quality: An International Journal 26, no. 6 (September 14, 2015): 909–28. http://dx.doi.org/10.1108/meq-03-2015-0028.

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Purpose – The purpose of this paper is to assess a comprehensive model that computes a single score in order to evaluate the sustainability of the municipal solid waste management (MSWM) system of a given city. The model was applied to calculate the sustainability index for the MSWM of Istanbul, Turkey as a case study. Design/methodology/approach – Different sustainability indicators (including environmental, economical, and social parameters) along with exergy analysis were integrated to utilize an analytical hierarchy process (AHP) under a life cycle perspective. Findings – The Istanbul case study helped to verify that AHP is an effective and efficient decision-making tool. According to the analysis, the current MSWM system of Istanbul is sustainable, and the sustainability can be improved only by changing the amounts to be treated by the current system without any new technological investments. Research limitations/implications – The Municipal Solid Waste Management Sustainability Index (MSWMSI) in this study allowed to integrate large amount of information on interrelated parameters and the sustainability indicators in the whole life cycle into one value that is useful for a general or a comparative judgment and helpful in MSWM decision making. Originality/value – The fact that the weighting assigned to each component in the model is dependent on the decision makers’ evaluations enables the model to be tailored to any city of concern. The model allows the user to readily determine the relative contribution of each criterion or sub-criterion to the final MSWM selection. It is convenient to use and the computations can be run utilizing available specialized software as well as computing by hand.
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12

Inoue, Masato, Kai Lindow, Rainer Stark, Kenji Tanaka, Yoon-Eui Nahm, and Haruo Ishikawa. "Decision-making support for sustainable product creation." Advanced Engineering Informatics 26, no. 4 (October 2012): 782–92. http://dx.doi.org/10.1016/j.aei.2012.07.002.

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13

Bryck, Kelly, and Naoko Ellis. "An Engineering Approach to Sustainable Decision Making." Environmental Values 25, no. 6 (December 1, 2016): 639–62. http://dx.doi.org/10.3197/096327116x14736981715580.

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14

Olander, Stefan. "Sustainable Building Adaptation: Innovations in Decision-making." Construction Management and Economics 33, no. 9 (September 2, 2015): 777–78. http://dx.doi.org/10.1080/01446193.2015.1090618.

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15

Padikkal, Sudheer, K. S. Sumam, and N. Sajikumar. "Decision Making Tool for Sustainable Water Sharing." Water Resources Management 32, no. 14 (August 13, 2018): 4707–23. http://dx.doi.org/10.1007/s11269-018-2079-1.

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16

Fesmire, Steven. "Sustainable Values, Sustainable Change: A Guide to Environmental Decision Making." Environmental Ethics 38, no. 4 (2016): 499–502. http://dx.doi.org/10.5840/enviroethics201638440.

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17

Boehner, Johannes. "Multi Criteria Decision Making Enhancing Sustainable Energy Management." Applied Mechanics and Materials 805 (November 2015): 32–37. http://dx.doi.org/10.4028/www.scientific.net/amm.805.32.

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Establishing energy management in manufacturing major challenge means to increase the energy efficiency of machinery in existing and future processes leading to both, a reduction of energy costs as well as to a reduction of the manufacturing-process-related environmental impacts. Therefore we developed a procedure to prioritize existing machinery for detailed machine examination in order to create a sustainable approach for machine operating companies to prioritise its assets for energy optimisation projects. By using fuzzy logic as method of artificial intelligence nominal and utilisation machinery data as well as inhouse expert knowledge is considered to enhance multi criteria decision making both. Applying this methodology in a series of industrial case studies in discrete manufacturing costs savings of up to 40 percent were realised.
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18

Ashley, R., D. Blackwood, D. Butler, J. Davies, P. Jowitt, and H. Smith. "Sustainable decision making for the UK water industry." Engineering Sustainability 156, no. 1 (March 2003): 41–49. http://dx.doi.org/10.1680/ensu.156.1.41.37058.

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19

Ashley, R., D. Blackwood, D. Butler, J. Davies, P. Jowitt, and H. Smith. "Sustainable decision making for the UK water industry." Proceedings of the Institution of Civil Engineers - Engineering Sustainability 156, no. 1 (March 2003): 41–49. http://dx.doi.org/10.1680/ensu.2003.156.1.41.

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20

Rauch, W. "Problems of decision making for a sustainable development." Water Science and Technology 38, no. 11 (December 1, 1998): 31–39. http://dx.doi.org/10.2166/wst.1998.0430.

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Current environmental policy guidelines are mainly based on cost-benefit analysis and concerned with the restriction of emissions. Sustainable development, on the other hand, is focusing on determining the optimal strategy for the overall performance of both the environment and the socio-economic system. This paper highlights some of the basic problems when developing strategies with the above aim in mind. The implications for decision making are investigated by means of a fictitious model of the economical and environmental interactions in a lake region.
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21

Charlesworth, Susanne, Frank Warwick, and Craig Lashford. "Decision-Making and Sustainable Drainage: Design and Scale." Sustainability 8, no. 8 (August 10, 2016): 782. http://dx.doi.org/10.3390/su8080782.

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22

Young, Wendy, Tim Young, George Rewa, and Peter Coyte. "Sustainable Evidence-Based Decision-Making: A Case Study." Healthcare Management Forum 15, no. 1 (April 2002): 37–39. http://dx.doi.org/10.1016/s0840-4704(10)60206-2.

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23

Barcellos de Paula, Luciano, and Fernando Augusto Silva Marins. "Algorithms applied in decision-making for sustainable transport." Journal of Cleaner Production 176 (March 2018): 1133–43. http://dx.doi.org/10.1016/j.jclepro.2017.11.216.

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24

Li, Helen, and Qiping Shen. "Supporting the decision-making process for sustainable housing." Construction Management and Economics 20, no. 5 (July 2002): 387–90. http://dx.doi.org/10.1080/01446190210146812.

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25

Seo, Seongwon, Toshiya Aramaki, Yongwoo Hwang, and Keisuke Hanaki. "Fuzzy Decision-Making Tool for Environmental Sustainable Buildings." Journal of Construction Engineering and Management 130, no. 3 (June 2004): 415–23. http://dx.doi.org/10.1061/(asce)0733-9364(2004)130:3(415).

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26

García-Segura, Tatiana, Laura Montalbán-Domingo, M. Amalia Sanz, and Alicia Lozano-Torró. "Sustainable Decision-Making Module: Application to Public Procurement." Journal of Civil Engineering Education 146, no. 3 (July 2020): 04020004. http://dx.doi.org/10.1061/(asce)ei.2643-9115.0000014.

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27

Ueda, K., T. Takenaka, J. Váncza, and L. Monostori. "Value creation and decision-making in sustainable society." CIRP Annals 58, no. 2 (2009): 681–700. http://dx.doi.org/10.1016/j.cirp.2009.09.010.

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28

Fandel, Günter, Andreas Kleine, and Andreas Dellnitz. "Editorial “sustainable decision-making in production and logistics”." Journal of Business Economics 90, no. 9 (October 20, 2020): 1285–87. http://dx.doi.org/10.1007/s11573-020-01016-7.

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29

Ben Amor, Sarah, Anissa Frini, and Gilles Reinhardt. "Preface: multiple criteria decision making for sustainable decisions." Annals of Operations Research 293, no. 2 (September 25, 2020): 401–3. http://dx.doi.org/10.1007/s10479-020-03786-3.

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30

Khahro, Shabir Hussain, Haseeb Haleem Shaikh, Noor Yasmin Zainun, Basel Sultan, and Qasim Hussain Khahro. "Delay in Decision-Making Affecting Construction Projects: A Sustainable Decision-Making Model for Mega Projects." Sustainability 15, no. 7 (March 28, 2023): 5872. http://dx.doi.org/10.3390/su15075872.

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The construction industry is one of the world’s fastest-growing industries, since it directly and indirectly contributes to several other industries. It has been observed that delays in the decision making of important stakeholders negatively impact construction projects. Thus, this has multiple consequences on project performance. Consequently, the purpose of this study was to identify the primary causes of delayed decision-making and offer a decision support model for timely construction project decisions. For factor identification, a comprehensive literature analysis was conducted, followed by an analysis of questionnaire responses of ninety-one professionals. For data analysis, the relative importance index (RII) method was applied. The results indicate that client decision-making delays pose a substantial obstacle for building projects. The early decision-making process is impacted by a lack of technical competence, incomplete paperwork, poor leadership, and coordination/communication issues. The proposed model could also assist project practitioners in improving their project decision making. This research study encourages stakeholders to create and implement an efficient decision-making procedure for timely project decisions. A procedure for decision making that is successful could decrease delays in the decision-making process and prevent conflicts and disputes in projects.
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31

Wang, Jun Feng, Ning Wang, and Jin Feng Rao. "Making Decision for Sustainable Product Lifecycle: A Markov Decision Process Based Method." Applied Mechanics and Materials 121-126 (October 2011): 2080–84. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.2080.

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As energy, resource and environmental issues become more and more serious, sustainable product attracts increasing attention. Products with short lifecycle, such as consumer electronics, gain particular concern. Authors formulate a sustainable product lifecycle evolution method based on Markov decision process. It was validated by an example that the method can select suitable phases at which company should invest money and resources.
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Nilashi, Mehrbakhsh, Elaheh Yadegaridehkordi, Sarminah Samad, Abbas Mardani, Ali Ahani, Nahla Aljojo, Nor Shahidayah Razali, and Taniza Tajuddin. "Decision to Adopt Neuromarketing Techniques for Sustainable Product Marketing: A Fuzzy Decision-Making Approach." Symmetry 12, no. 2 (February 21, 2020): 305. http://dx.doi.org/10.3390/sym12020305.

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Sustainable products and their marketing have played a crucial role in developing more sustainable consumption patterns and solutions for socio-ecological problems. They have been demonstrated to significantly decrease social consumption problems. Neuromarketing has recently gained considerable popularity and helped companies generate deeper insights into consumer behavior. It has provided new ways of conceptualizing consumer behavior and decision making. Thus, this research aims to investigate the factors influencing managers’ decisions to adopt neuromarketing techniques in sustainable product marketing using the fuzzy analytic hierarchy process (AHP) approach. Symmetric triangular fuzzy numbers were used to indicate the relative strength of the elements in the hierarchy. Data were collected from the marketing managers of several companies who have experience with sustainable product marketing through online shopping platforms. The results revealed that the accuracy and bias of neuromarketing techniques have been the main critical factors for managers to select neuromarketing in their business for advertising and branding purposes. This research provides important results on the use of neuromarketing techniques for sustainable product marketing, as well as their limitations and implications, and it also presents useful information on the factors impacting business managers’ decision making in adopting neuroscience techniques for sustainable product development and marketing.
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33

Muñoz, Pablo. "A cognitive map of sustainable decision-making in entrepreneurship." International Journal of Entrepreneurial Behavior & Research 24, no. 3 (May 8, 2018): 787–813. http://dx.doi.org/10.1108/ijebr-03-2017-0110.

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Purpose Under what conditions do entrepreneurs make the sustainable decisions they need to develop socially and environmentally responsible new businesses? Explanations of sustainable decision-making have involved various cognitive features; however, it is not yet clear how they play a role in empirical terms and, moreover, how they combine to induce business decisions based on social, environmental and economic considerations. The purpose of this paper is to explore how five cognitive factors combine and causally connect to produce sustainable decision-making in entrepreneurship. Design/methodology/approach This study uses fuzzy-set qualitative comparative analysis to examine the decision-making of 37 sustainable entrepreneurs. It focuses on a substantive conception of entrepreneurial behaviour to uncover the cognitive antecedents underlying entrepreneurial decisions that involve the explicit development and implementation of measures, targets and strategies aimed at improving its impact on people and the environment. Findings The configurational analysis reveals a typology comprising five combinations of cognitive factors constituting a comprehensive cognitive map of sustainable decision-making in entrepreneurship, namely: purpose-driven, determined; value-based, vacillating; value-based, unintended; single motive, single solution; and purpose-driven, hesitant. Research limitations/implications This study demonstrates that no single condition is necessary nor sufficient for triggering decision-making involving social and environmental concerns, revealing five mental models leading to sustainable decision-making. In doing so, this paper responds to recent calls that stress the need for studies capable of uncovering the complex constellation of cognitive factors underlying entrepreneurial sustainable behaviour. Theoretical and practical implications are discussed. Originality/value This paper provides a systematic characterization of the cognitive underpinnings of sustainable decision-making and offers a basis for organizing the study of sustainable outcomes and configurations of cognitive antecedents. It reconciles prior efforts aimed at characterizing sustainability decisions in the context of SMEs and new enterprises, challenging current models based on awareness, experience and ethical normative frameworks.
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34

Alves, Adriana S. F., J. P. Oliveira, and Radu Godina. "Advancing Sustainable Decision Making in Additive Manufacturing: A Comprehensive Review of Multi-Criteria Decision Making Approaches." Clean Technologies 6, no. 2 (May 14, 2024): 646–61. http://dx.doi.org/10.3390/cleantechnol6020034.

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Additive manufacturing (AM) is one of the technologies of Industry 4.0 that has been contributing to the development of different manufacturing industries. The integration of sustainability concepts into additive manufacturing has been gaining attention among researchers. This integration is essential in the development of AM technologies and can be a significant asset in terms of decision making for organizations. This work aims to present a concise literature review on the integration of decision making, especially multi-criteria decision making, and sustainability into the AM environment. The literature on this topic currently possesses a total of fifteen documents, which were analyzed in this work. Some developments on this topic have been achieved in domains such as material selection, process selection and challenges, and drivers’ analysis of sustainable AM. This review shows that even though there has been an effort in recent years to integrate sustainability into additive manufacturing, there is still a long road to the development of this topic for the future, and so some recommendations for future research paths are presented.
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35

Wang, Jiang-Jiang, You-Yin Jing, Chun-Fa Zhang, and Jun-Hong Zhao. "Review on multi-criteria decision analysis aid in sustainable energy decision-making." Renewable and Sustainable Energy Reviews 13, no. 9 (December 2009): 2263–78. http://dx.doi.org/10.1016/j.rser.2009.06.021.

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36

Humphreys, Patrick, and Amy Luk. "Innovative, Creative and Sustainable Decision-Making in Changing Contexts." Foundations and Trends® in Information Systems 5, no. 4 (2022): 353–473. http://dx.doi.org/10.1561/2900000024.

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37

Macmillen, James, Moshe Givoni, and David Banister. "Evaluating Active Travel: Decision-Making for the Sustainable City." Built Environment 36, no. 4 (December 5, 2010): 519–36. http://dx.doi.org/10.2148/benv.36.4.519.

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38

Damidavičius, Jonas, Marija Burinskienė, and Jurgita Antuchevičienė. "Assessing Sustainable Mobility Measures Applying Multicriteria Decision Making Methods." Sustainability 12, no. 15 (July 28, 2020): 6067. http://dx.doi.org/10.3390/su12156067.

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An increasing number of recent discussions have focused on the need for designing transport systems in consonance with the importance of the environment, thus promoting investment in the growth of non-motorized transport infrastructure. Under such conditions, the demand for implementing the most effective infrastructure measures has a profoundly positive impact, and requires the least possible financial and human resources. The development of the concept of sustainable mobility puts emphasis on the integrated planning of transport systems, and pays major attention to the expansion of non-motorized and public transport, and different sharing systems, as well as to effective traffic management involving intelligent transport systems. The development of transport infrastructure requires massive investment, and hence the proper use of mobility measures is one of the most important objectives for the rational planning of sustainable transport systems. To achieve this established goal, this article examines a compiled set of mobility measures and identifies the significance of the preferred tools, which involve sustainable mobility experts. The paper also applies multicriteria decision making methods in assessing urban transport systems and their potential in terms of sustainable mobility. Multicriteria decision making methods have been successfully used for assessing the effectiveness of sustainable transport systems, and for comparing them between cities. The proposed universal evaluation model is applied to similar types of cities. The article explores the adaptability of the model by assessing big Lithuanian cities.
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39

Romli, Awanis, Paul Prickett, Rossitza Setchi, and Shwe Soe. "Integrated eco-design decision-making for sustainable product development." International Journal of Production Research 53, no. 2 (September 18, 2014): 549–71. http://dx.doi.org/10.1080/00207543.2014.958593.

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40

Cheaitou, Ali, Mickael Gardoni, and Sadeque Hamdan. "A decision-making framework for environmentally sustainable product design." Concurrent Engineering 27, no. 4 (August 26, 2019): 295–304. http://dx.doi.org/10.1177/1063293x19870841.

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Design is a process through which customer needs are transformed into product or service specifications, and then used to develop a model or prototype. The prototype is tested, and modifications are brought to it before the production process starts. Moreover, the design process may be divided into different stages, starting from the definition of the customer needs, going through the conceptual design phase and ending up with the detailed design. In this article, we address the conceptual design phase, where the customer needs are assumed to be known. The proposed approach considers, based on customer needs, primary and secondary design criteria. Each design criterion has a set of predetermined possible values (options) from which the designer may select. Making the best selection of all the design features while satisfying the customer needs in terms of cost, quality (customer preference) and environmental performance is a combinatorial problem and therefore a decision-making framework would be helpful for the designers. In this article, the design criteria are evaluated using fuzzy technique for order preference by similarities to ideal solution based on cost, quality and environmental sustainability. A multiobjective and a single-objective binary programming models are then developed and solved, and their optimal solutions are obtained. The multiobjective solutions provide the decision makers with the possible trade-offs, whereas the single-objective model solution can be used as a final decision-making tool. The proposed approach is implemented in a user-friendly software developed by the authors. A case study is conducted using a baby car seat for which three main and six secondary design criteria are considered. The obtained results show the effectiveness of the approach used.
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41

Lithgow, Katy. "Sustainable decision making—change in National Trust collections conservation." Journal of the Institute of Conservation 34, no. 1 (March 2011): 128–42. http://dx.doi.org/10.1080/19455224.2011.582457.

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42

Tan, Raymond R., Lanndon A. Ocampo, Eppie E. Clark, and Anthony S. F. Chiu. "Modelling a decision-making network for sustainable manufacturing strategy." Progress in Industrial Ecology, An International Journal 14, no. 1 (2020): 58. http://dx.doi.org/10.1504/pie.2020.10026921.

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43

Ocampo, Lanndon A., Eppie E. Clark, Anthony S. F. Chiu, and Raymond R. Tan. "Modelling a decision-making network for sustainable manufacturing strategy." Progress in Industrial Ecology, An International Journal 14, no. 1 (2020): 58. http://dx.doi.org/10.1504/pie.2020.105197.

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44

Tseng, Ming-Lang, Anthony S. F. Chiu, and Dong Liang. "Sustainable consumption and production in business decision-making models." Resources, Conservation and Recycling 128 (January 2018): 118–21. http://dx.doi.org/10.1016/j.resconrec.2017.02.014.

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45

Wu, Zhaohui, and Mark Pagell. "Balancing priorities: Decision-making in sustainable supply chain management." Journal of Operations Management 29, no. 6 (November 3, 2010): 577–90. http://dx.doi.org/10.1016/j.jom.2010.10.001.

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46

Hayman, Richard, and Erika E. Smith. "Sustainable decision making for emerging educational technologies in libraries." Reference Services Review 43, no. 1 (February 9, 2015): 7–18. http://dx.doi.org/10.1108/rsr-08-2014-0037.

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Purpose – The purpose of this article is to discuss approaches to sustainable decision-making for integrating emerging educational technologies in library instruction while supporting evidence-based practice (EBP). Design/methodology/approach – This article highlights recent trends in emerging educational technologies and EBP and details a model for supporting evidence informed decision-making. This viewpoint article draws on an analysis of recent literature, as well as experience from professional practice. Findings – Authors discuss the need for sustainable decision-making that addresses a perceived lack of evidence surrounding emerging technologies, a dilemma that many library educators and practitioner-researchers will have faced in their own library instruction. To support the evidence-informed selection and integration of emerging educational technologies, a two-pronged model is presented, beginning with an articulation of pedagogical aims, alignment of technological affordances to these aims and support of this alignment via hard evidence available in the research literature, as well as soft evidence found in the environmental scan. Originality/value – This article provides an outline and synthesis of key issues of relevance to library practitioners working within a challenging and ever-changing landscape of technologies available for learning and instruction. The proposed approach aims to create a sustainable model for addressing problems of evidence and will benefit academic librarians considering emerging educational technologies in their own pedagogy, as well as those who support the pedagogy of others.
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47

Sakas, Damianos, and Konstadinos Kutsikos. "An Adaptable Decision Making Model for Sustainable Enterprise Interoperability." Procedia - Social and Behavioral Sciences 148 (August 2014): 611–18. http://dx.doi.org/10.1016/j.sbspro.2014.07.087.

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48

Enyoghasi, Christian, and Fazleena Badurdeen. "Risk-informed simulation for sustainable product design decision making." Procedia Manufacturing 43 (2020): 399–406. http://dx.doi.org/10.1016/j.promfg.2020.02.195.

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49

Carli, Raffaele, Mariagrazia Dotoli, and Roberta Pellegrino. "Multi-criteria decision-making for sustainable metropolitan cities assessment." Journal of Environmental Management 226 (November 2018): 46–61. http://dx.doi.org/10.1016/j.jenvman.2018.07.075.

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50

He, Yandong, Xu Wang, Yun Lin, Fuli Zhou, and Lin Zhou. "Sustainable decision making for joint distribution center location choice." Transportation Research Part D: Transport and Environment 55 (August 2017): 202–16. http://dx.doi.org/10.1016/j.trd.2017.07.001.

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