Results 61 to 70 of about 410,350 (288)

Swedish Consumers' Willingness‐to‐Pay for Plant‐Based Proteins in Pasta Sauce: Preferences and Policy Scenarios

Agribusiness, EarlyView.
ABSTRACT This paper explores Swedish consumers' protein preferences by estimating the willingness‐to‐pay (WTP) for minced meat and plant‐based proteins in pasta sauce from an in‐store experiment (n = 206) and an online discrete choice experiment (n = 517). On average, the WTP was highest for minced meat.
Emilia Mattsson, Anna Kristina Edenbrandt, Jens Rommel, Sarah Säll   +3 more
wiley   +1 more source

Factors influencing value co-creation in cultural and creative enterprises: An empirical study

Heliyon
The empirical validation of the relationship among the capabilities of cultural and creative enterprises (CCE), customer co-creation value, and enterprise value remains insufficient.
Xiaodong Liu, Pei Liu, Meina Li
doaj   +1 more source

CUSTOMER ENGAGEMENT - THE CO CREATION OFVALUE IN THE MARKETING PROCESS [PDF]

ICTACT Journal on Management Studies, 2018
The customers’ involvement in the process of value creation, his influences in this area, and his efforts at co creation of value, is sought to be grouped under an area christened as Customer Engagement.
M Shyja Karunakaran, P T Raveendran
doaj   +1 more source

Animal‐Based Brands Taking the Plant‐Based Opportunity: A Tasting Experiment Exploring Consumer Acceptance of Plant‐Based Brand Extensions

Agribusiness, EarlyView.
ABSTRACT This study investigates how consumer taste and brand equity perceptions shape the acceptance of plant‐based milk products. Using a blind/informed tasting experiment, we evaluated consumers' willingness to buy (WTB) and taste perception of a plant‐based milk alternative produced by a traditional dairy brand, compared with competing plant‐based ...
Federico Parmiggiani, Mirta Casati, Elena Castellari, Fosca Vezzulli, Veronica Vitali, Milena Lambri, Claudio Soregaroli   +6 more
wiley   +1 more source

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

Agribusiness, EarlyView.
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa, Alvaro Dias   +1 more
wiley   +1 more source

NAVIGATING DIGITAL DISRUPTION: CONSUMER BEHAVIOR-DRIVEN INNOVATION FOR SUSTAINABLE BUSINESS

Jurnal Manajemen dan Wirausaha
This study aims to analyze the influence of Digital Innovation and Consumer Behavior on Customer Experience and Competitive Advantage in the context of retail product consumers in the Greater Jakarta area.
Lola Fitria Sari, Agustinus Miranda Wijaya, Sri Widyastuti, Rowiyah Asengbaramae   +3 more
doaj   +1 more source

Types of Competition in the Market in the Context of New Value for Customers [PDF]

International Journal of Academic Research in Business and Social Sciences, 2014
The use of modern technology adds a new dimension to competition in the market. There is no doubt that modern information systems have become a space for multilateral communication, searching for information, performing transactions, and even co-creating value.
openaire   +1 more source

Quantifying Consumer Tradeoffs Across Firm‐Level Strategic Positioning Dimensions: Evidence from US Craft Beer Consumers

Agribusiness, EarlyView.
ABSTRACT Strategic positioning becomes increasingly important as markets mature, particularly in consumer‐facing industries that offer similar products, experiential cues, and values‐based messages. This study offers a conceptual model to examine the strategic positioning factors that motivate consumers to visit one local business over another before ...
Aaron J. Staples, Trey Malone, J. Robert Sirrine   +2 more
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Advanced Intelligent Discovery, EarlyView.
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang, Bing Sun, Zhigang Chen, Chenyu Zhao, Eugene Bakker, Yaojie Lei, Lingfei Zhao, Shijian Wang, Chao Liu, Virginia Xiaojun He, Bahram Shirzadi, Hao Liu, Xin Xi, Ruiliu Liu, Dongqing Wu, Guodong Long, Guoxiu Wang   +16 more
wiley   +1 more source