Consumer Attitudes toward Vertically Farmed Produce in Russia: A Study Using Ordered Logit and Co-Occurrence Network Analysis

Yano, Yuki; Nakamura, Takahiro; Ishitsuka, Satoshi; Maruyama, Atsushi

doi:10.3390/foods10030638

Cited by 26 publications

(14 citation statements)

References 38 publications

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“…The size of the differences was sentence‐specific, suggesting that they were not largely determined by response style differences but to a generally more positive attitude to VF in China. A definitive answer was not possible based on the present data, but since within‐country consumer heterogeneity exist in opinions about VF (e.g., Grebitus, Chenarides, Muenich, & Mahalov, 2020; Yano, Nakamura, Ishitsuka, & Maruyama, 2021), it is likely that cross‐cultural differences exist too.…”

Section: Discussionmentioning

confidence: 73%

Text highlighting for attitude measurement in cross‐cultural consumer research: A methodological study

Ares

Jaeger

2021

Journal of Sensory Studies

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Text highlighting was explored as a new method for direct attitude measurement in cross-cultural research. Participants in an online survey read a text about vertical farming. They used highlighter functions to mark parts of the text they "liked" and "disliked". Four countries were included in the research-United Kingdom, United States, Singapore, and China (637-683 adults per country). The percentage of participants who highlighted words as "like" and "dislike" was calculated for each of the sentences and countries. Analysis of the highlighting responses did not point to response style or systematic differences in responding. This supported the use of text highlighting in cross-cultural research. Groups of consumers with different sentiment towards specific sentences in the text highlighting task (Positive, Neutral/Ambivalent, or Negative) showed predictable differences in their average scores for attitudinal statements. Practical ImplicationsLikert scales are ubiquitous in attitude measurement but subject to response styles which is a hindrance in cross-cultural research. This suggests the need to develop scale-free methods. Results from the present research confirmed the ability of text highlighting to capture specific attitudes towards vertical farming across countries and languages, as well as its ability to overcome response style differences. | INTRODUCTIONIn an increasingly globalized world, multi-national studies are in ascendancy and are routinely conducted on many topics including consumer attitudes, behavior, and values. In parallel, awareness of the challenges-methodological and ethical-of such research has grown far beyond the domains of cross-cultural psychology and opinion polling (e.g., Ares, 2018;Liamputtong, 2008).Considering the important role of attitudes in understanding consumer behavior (e.g., Conrey & Smith, 2007), attitude measurement is also key to cross-cultural research, and much of this activity relies on survey methodology and scaled responses to written statements. This eases implementation, but brings challenges to analysis and interpretation because people from different cultures and populations use rating scales differently (e.g., Ares, 2018;Baumgartner & Steenkamp, 2001).These differences, which are also known as response styles, include extreme responding and acquiescence. Extreme responding is the tendency to respond using extreme endpoints on rating scales, and acquiescence is the tendency to respond with agreement/affirmation. Both response styles are more common among Asians and have been linked to collectivist cultural orientation (e.g.,

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Section: Discussionmentioning

confidence: 73%

Text highlighting for attitude measurement in cross‐cultural consumer research: A methodological study

Ares

Jaeger

2021

Journal of Sensory Studies

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“…Jurkenbeck et al ( 2020) also found that the transparency provided by such modular solutions, which are directly visible to consumers, greatly improves their acceptance of such systems. Nonetheless, research has shown that consumers may be reluctant to consume foods from these more "technical" or less "natural" solutions (Siegrist, 2008;Coyle and Ellison, 2017;Grebitus et al, 2020), due in part to the lack of knowledge of these systems (Coyle and Ellison, 2017;Jürkenbeck et al, 2019;Yano et al, 2021). As such, by providing a visual element, the GSS providing firms are attempting to break down barriers by providing further transparency to how food is produced in vertical farming environments and engage with consumers.…”

Section: Distributed Modular Systemsmentioning

confidence: 99%

Growing-Service Systems: New Business Models for Modular Urban-Vertical Farming

Martin

Bustamante

2021

Front. Sustain. Food Syst.

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To secure sustainable and resilient food systems, new approaches, innovations, techniques, and processes are needed. In recent years, urban farming firms have been developing and experimenting with innovative approaches to expand their offerings and connect with consumers in new ways. New business models are being developed to provide functions and services instead of traditional products to meet demands from consumers, retailers, and users. As such, modular growing systems are increasing in popularity to provide fresh produce, visual appeal, transparency, and other tailor-made functions and services in so-called “growing-service systems” (GSS). Using GSS approaches, firms are developing and providing modular and small-scale farms in restaurants, residential spaces, supermarkets, and other commercial spaces, often including a large degree of automation and optimization of digital solutions to remotely control their operation. Using qualitative methods, the aim of this study is to explore and analyze the development of these novel GSS systems, highlighting different strategies, business models, motivations, and challenges. The results illustrate the divergence in approaches to GSSs for vertical farming. This includes different scales of modular units and varying business models for capturing value from the combination of products and services. All of the systems include varying degrees of automation and digitalized solutions to ensure the services are monitored, which is done to improve growing conditions and improve the experience for the users. Business-to-business systems are being developed as both market expansion and awareness-building strategies, where modular units are provided as a rental or subscription model that includes a number of services. Business-to-consumer systems are being introduced as an alternative for consumers, particularly in urban areas, to have greater control and access over growing their own fresh produce. The modules are purchased by consumers, which includes a number of ongoing services from the GSS firms. By categorizing and exploring these systems, this article offers novel insights and a first endeavor to distinguish these new GSS systems in the growing segment of urban agriculture, controlled-environment agriculture, and product-service system literature.

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“…This study focuses on the scientometric methodology to present a holistic analysis of STC concerning software development activities. In the literature, different scientometric techniques are used to identify the prominent frontiers of research, such as co-word analysis [67], cooccurrence analysis [31,68], co-author/collaborator analysis [69], co-citation analysis [70][71][72], bibliographic coupling [71,72], and cluster analysis [73].…”

Section: Stage 2: Scientometric Analysismentioning

confidence: 99%

Socio-Technical Congruence as an Emerging Concept in Software Development: A Scientometric Analysis and Critical Literature Review

et al. 2021

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Ample evidence in the literature emphasizes using socio-technical congruence (STC) to address coordination issues in distributed software development. The recent decades have shown a progressive growth in STC, resulting in an increasing number of research studies in the scientific corpora. However, no existing study has systematically analyzed and illustrated the research patterns, latest trends, and evolution in STC. This study aims to explore the knowledge structure and create evolutionary trajectories from STC publications. To achieve this aim, a scientometric analysis is performed that combined a critical literature review (CLR) of STC-related published research in the Web of Science and Scopus databases from 2000 to 2020.The scientometric analysis is conducted through four scientometric techniques: i) coword network analysis, ii) co-author network analysis, iii) co-citation analysis, and iv) document clustering with timeline analysis. The study outcomes will help understand and visualize STC's research status quo. CLR is objectively conducted to recognize the latest research topics, themes, and salient features of STC research in software development. A total of 306 bibliographic data are analyzed to generate study-related networks and density visualizations. The results reveal an evolution in the STC field from its conception to the recent developments of STC models and other related factors. This study primarily contributes to the literature by providing a systematic view related to STC research to assist software practitioners in identifying applications and key research areas. Moreover, the combination of scientometric analysis and CLR reveals key researchers, journals and conferences, institutions, prominent contributing countries, and six major research themes, including "community structure" and "socio-technical congruence" as the most prominent ones.

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Consumer Attitudes toward Vertically Farmed Produce in Russia: A Study Using Ordered Logit and Co-Occurrence Network Analysis

Cited by 26 publications

References 38 publications

Text highlighting for attitude measurement in cross‐cultural consumer research: A methodological study

Text highlighting for attitude measurement in cross‐cultural consumer research: A methodological study

Growing-Service Systems: New Business Models for Modular Urban-Vertical Farming

Socio-Technical Congruence as an Emerging Concept in Software Development: A Scientometric Analysis and Critical Literature Review

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