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    Fuzzy Analytical Hierarchy Process for Strategic Decision Making in Electric Vehicle Adoption
    (2023-04-01)
    Aungkulanon, Pasura
    ;
    Atthirawong, Walailak
    ;
    Luangpaiboon, Pongchanun
    In response to the requirement to address the global climate crisis in urban areas caused by the logistics sector, an increasing number of governments around the world have begun aggressive strategic actions to encourage manufacturers and consumers to adopt electric vehicle (EV) technology. One of the most beneficial aspects of driving an EV is that it reduces pollution while also reducing the use of fossil fuels, as well as improving public health by improving local air quality. Nevertheless, the level of EV adoption differs significantly across markets and geographies. EV adoption barriers slow the overall rate of electric mobility. This study ranks a list of obstacles and sub-hindrances to the adoption of electric vehicles in Thailand using the Fuzzy Analytical Hierarchy Process (FAHP), a Multi-Criteria Decision Making (MCDM) technique. The results showed that infrastructure policy barrier (A), which had the highest weight of 0.6058, was the biggest barrier to EV adoption, followed by technological barrier (B) with a weight of 0.2657, and then by market barrier with a weight of 0.1285. Insufficient charging infrastructure network (A3), lack of proper government support/incentives and collaboration (A1), insufficient electric power supply (A2), high capital cost (C3), and EV charging time (B3) were key sub-barriers to EV adoption in Thailand. Decision Making Systems (DMS) have additionally been created to assist executives in making decisions about the aforementioned barriers. The DMS is based on the concept of computer-aided decision making in that it allows for direct user interaction, analysis, and the ability to change circumstances and the decision-making process based on the executives’ own experience and abilities. Thus, the findings of this study aid in the formulation of market strategies for relevant stakeholders and shed light on potential policy responses.
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    Alternate Wetting and Drying as Water-Saving Technology: An Adoption Intention in the Perspective of Good Agricultural Practices (GAP) Suburban Rice Farmers in Thailand
    (2023-02-01)
    Suwanmaneepong, Suneeporn
    ;
    Kultawanich, Kulachai
    ;
    Khurnpoon, Lampan
    ;
    Sabaijai, Phatchara Eamkijkarn
    ;
    Cavite, Harry Jay
    The alternate wetting and drying (AWD) as water-saving technology aligns with the good agricultural practices (GAP) principles, particularly in the environmental management of water conservation. Thus, GAP adopters as farmer groups are seen as viable AWD adopters in the initial stages of scaling out the adoption in Thailand. However, the understanding of integrating AWD as water-saving management among GAP adopters remains scant. Using the case of rice GAP farmers in Thailand, the study found a higher probability of adoption intention among GAP compared to non-GAP. AWD perceived advantage, knowledge, and the suitability of rice farms for AWD adoption trials are positively associated with higher adoption intention. While higher fixed cost lowers the probability of adoption, variable cost is positively associated with higher adoption intention in the short-run production decision. In order to scale out the adoption of AWD, farmers’ understanding of the safe and proper application of AWD, together with assistance for crop insurance in the case of crop failure, will be crucial. Risks connected with the adoption decision continue to be the biggest barrier to adoption, especially among small-scale farmers.
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    Off-the-shelf digital tools as a resource to nurture the commons
    (2022-08-19)
    Bettega, Mela
    ;
    Masu, Raul
    ;
    Hansen, Nicolai Brodersen
    ;
    Teli, Maurizio
    Commons and commoning are of increasing interest to the PD community. We argue that off-the-shelf digital commons can be used in the context of PD to support groups in their commoning practices. This approach presents some advantages: it allows focusing resources on participation rather than software development and it fosters sustainability of results when researchers leave. But how do we understand whether an off-the-shelf tool can be considered a commons or not? Where do we find digital commons? How do we select them? In this paper, we will try to answer these questions by proposing theoretical considerations and practical criteria based on the reflexive account of a case study in Europe.
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    Big Data Analytics System Adoption in SMEs of Manufacturing
    (2021-04-23)
    Tang, Weike
    ;
    Chaveesuk, Singha
    In the information and communication technology era, the scales and types of big data are expanding rapidly, playing an increasingly important role in business. Big data technology is undoubtedly a big wave between information technology and manufacturing enterprise. However, some small and medium-sized manufacturing enterprises may not adopt and use big data technology as ICT related companies do. In this paper, we use the TOE model to test the factors (technological context, organizational context and environmental context) affecting BDA system adoption in SMEs of manufacturing.