How <scp>higher‐order</scp> personal values affect the purchase of electricity storage—Evidence from the German photovoltaic market

Poier, Stefan; Nikodemska‐Wołowik, Anna Maria; Suchanek, Michał

doi:10.1002/cb.2048

Cited by 8 publications

(7 citation statements)

References 109 publications

(144 reference statements)

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“…Along with people who exhibit a high degree of self-transcendence, they are situated in the region of values free from anxiety. 70 In addition to their own issues, they are also concerned about the environment. It is related to the ability to think alone and act independently.…”

Section: Self-directionmentioning

confidence: 99%

Intention to Purchase Organic Food Among Indian Consumers: Application of Theory of Planned Behaviour

Kaur,

Kaur

2023

Metamorphosis: A Journal of Management Research

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The primary aim of this research is to investigate the consumer’s intention to purchase organic food (OF) in India, using the theory of planned behaviour (TPB). This study used the values of security, conformity, and self-direction in addition to the TPB and tested its impact on the attitude and intention to purchase OF. Data were gathered from 400 OF customers approached using the mall intercept method. To evaluate the relationships between the key determinants, data were analysed using structural equation modelling. The research revealed that attitude, subjective norms (SN), and perceived behaviour control (PBC) have a positive and significant impact on the intention to purchase OF. Security, self-direction, and conformity have a significant impact on attitude. In addition, security has a significant impact on SN and PBC. PBC is found to have an impact on SN. These findings provide several useful implications for marketing managers. Environmental officials and the government might use the study’s findings to expand organic consumption. The study makes a conceptual contribution to the existing literature by establishing theoretical linkages between values and TPB-related constructs.

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Section: Self-directionmentioning

confidence: 99%

Intention to Purchase Organic Food Among Indian Consumers: Application of Theory of Planned Behaviour

Kaur,

Kaur

2023

Metamorphosis: A Journal of Management Research

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“…The major intention of the demosaicing model is for interpolating missing blue, green, and red pixels from present pixels, thus the reconstructed image is similar to the actual image as probable. Furthermore, the computational complexity of demosaicing requirements should be less for cost effectual in real‐world applications 1,3,4 . Demosaicing model is naturally underspecified, since there are no total RGB triples in an image to study the image details.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the computational complexity of demosaicing requirements should be less for cost effectual in real-world applications. 1,3,4 Demosaicing model is naturally underspecified, since there are no total RGB triples in an image to study the image details. The original image can be reconstructed based on the local coherence among channels.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of video demosaicing techniques using optimization algorithm

Alphonse

Sylam

2023

Concurrency and Computation

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Demosaicing and denoising are the most significant steps in the imaging process for both images and videos. The correlation noise corrupts the image quality, such that an accurate interpretation of the image is avoided. Thus, demosaicing is utilized to restructure the full-color image from imperfect color samples. In this article, cat shuffled shepherd optimization-based local polynomial approximation and intersection of confidence intervals (Cat SSO-based LPA-ICI) approach is developed for video demosaicing. The LPA-ICI model is employed for frame demosaicing in which the second-order polynomial interpolation filter coefficients are produced using the devised optimization algorithm, named cat SSO technique. Similarly, generative adversarial network classifier is also applied for frame demosaicing. In addition, initialization and flow estimation is performed for the demosaicing process. Besides, spatio temporal demosaicing model is utilized in order to get a noise-free sequence. However, the developed cat SSO technique is newly devised by the incorporation of the shuffled shepherd optimization algorithm and cat swarm optimization technique. The created video demosaicing model outperformed with peak signal-to-noise ratio, root mean square error, and second derivative-like measure of enhancement values of 56.85 dB, 0.46, and 60.62, respectively.

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“…However, the charging station uses the same mode of charging, including DCQC and AC level II. Since the different electric vehicle has various behaviors of charging as well as service of charging requirements, which is has restricted time of charging 11 . In addition, charging station has single mode of charging with minimal adaptability and high flexibility to fulfill the requirements of multi‐class users, and thus it restricted the Quality of Service (QoS) 12 .…”

Section: Introductionmentioning

confidence: 99%

“…Since the different electric vehicle has various behaviors of charging as well as service of charging requirements, which is has restricted time of charging. 11 In addition, charging station has single mode of charging with minimal adaptability and high flexibility to fulfill the requirements of multi-class users, and thus it restricted the Quality of Service (QoS). 12 Additionally, various approaches are developed for the charge scheduling process, including random and first available scheduling (RFAS), first available scheduling (FAS), simulated annealing, greedy local search, and heuristic techniques as well as these methods are also utilized for optimizing 13 off-peak charging activity, charging cost and understanding charging patterns depends on user behavior.…”

mentioning

confidence: 99%

Hybrid optimization enabled multi‐aggregator‐based charge scheduling of electric vehicle in internet of electric vehicles

Suresh

Shobana²,

Ramya

et al. 2023

Concurrency and Computation

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Summary In modern days, electric vehicles are quickly industrialized as well as their penetration is also increased highly, which brings more challenges for the power system. The electric vehicle charge scheduling process is vital to encourage the daily usage of the electric vehicle. However, irregular charging methods for electric vehicles may disturb voltage security areas because of their stochastic characteristics. Moreover, an electric vehicle requires recurrent charging owing to its constrained battery capacity, but it is a time‐consuming process. In this article, an effective charge scheduling model is devised using the fractional social sea lion optimization (Fr‐SSLO) algorithm. At first, IoEV network is simulated along with charge station and electric vehicle location. Furthermore, multi aggregator‐based charge scheduling is done for increasing the profit and amount of scheduled electric vehicles. Then, routing is performed based on developed Fr‐SSLO algorithm. Moreover, several fitness measures, including distance, energy and variable energy purchase are included. Here, the devised Fr‐SSLO model is designed by integrating fractional calculus (FC) and sea lion optimization (SLnO) technique along with SOA. After the completion of routing process, charge scheduling is performed based on developed Fr‐SSLO approach. Moreover, various fitness functions are also considered for computing better performance.

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How higher‐order personal values affect the purchase of electricity storage—Evidence from the German photovoltaic market

Cited by 8 publications

References 109 publications

Intention to Purchase Organic Food Among Indian Consumers: Application of Theory of Planned Behaviour

Intention to Purchase Organic Food Among Indian Consumers: Application of Theory of Planned Behaviour

Enhancement of video demosaicing techniques using optimization algorithm

Hybrid optimization enabled multi‐aggregator‐based charge scheduling of electric vehicle in internet of electric vehicles

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