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The purpose of this research is to (1) identify factors affecting food choices of young adults in Canada based on environmental perceptions, personal and behavioral factors as determinants of eating behaviors; (2) segment Canadian young adults based on the importance of the identified factors in their food choices.

An online survey was administered to Canadians aged between 18 and 24 to collect data on socio-demographic factors and eating behaviors (N = 297). An exploratory factor analysis (EFA) was used to identify the main factors affecting eating behaviors in young adults, followed by K-means clustering to categorize the respondents into consumer segments based on their propensity to agree with the factors.

Six factors were extracted: beliefs (ethical, environmental and personal); familiarity and convenience; joy and experience; food influencers and sociability; cultural identity; and body image. Using these factors, six consumer segments were identified, whereby members of each segment have more similar scores on each factor than members of other segments. The six consumer segments were: “conventional”; “concerned”; “indifferent”; “non-trend follower”; “tradition-follower”; and “eat what you love”.

Identifying major factors influencing eating behaviors and consumer segmentation provides insights on how eating behaviors might be shaped. Furthermore, the outcomes of this study are important for designing effective interventions for shaping eating behaviors particularly improving sustainable eating habits.

The purpose of this study was to examine the influence of digital government innovation on transformational government. Digital government innovation is ordinarily implemented as means for the creation of public value. However, realisation of benefits from the digital government platforms has proved to be a challenge, and great discrepancy has been observed in the extent of public value generated, pointing to lack of innovativeness in resource-constrained environments. This research investigates the influence of digital government ambidexterity as an innovation strategy in enhancing transformational government (T-Gov). The authors develop hypotheses relating to digital government ambidexterity with two factors of innovation for enhancing T-Gov: exploitation incremental digital innovation and exploration radical digital innovation.

The hypotheses are tested using a sample size of 690 citizens interacting through digital government platforms. The authors identify exploitation incremental digital innovation and exploration radical digital innovation as factors, and how these factors of digital government ambidexterity influence information quality for public value creation. The success of T-Gov is associated to the implementation of digital government policy which moderate the relationship between digital government ambidexterity and information quality.

The empirical outcomes suggest that exploitation incremental digital innovation and exploration radical digital innovation positively influence information quality, thereby leading to public value, and this result become successful if there is implementation of digital government policy. Treating the two factors of digital government innovation as complementary leads to public value creation.

Limited time and funds to conduct a country comparative study. The study only focused on urban municipalities, of which it would be interesting to explore rural municipalities.

Adoption of MunINFORQUAL model for promoting digital government platform utilisation by citizens.

The utilisation of digital government platforms would improve citizens’ lives in a number of ways. For instance, citizen municipal interaction for service delivery and social benefits through instant notifications of developmental projects.

This paper contributes to the research literature on digital government innovation particularly from resource-constrained environments. Also, the study provides new empirical test using a data set of 690 citizens interacting through digital government platforms.