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Despite intense research interest in supply chain management (SCM) over two decades, there is still uncertainty as to what SCM is and how behavioural determinants have an impact on it. The purpose of this study is to explore the linkages between the behavioural and marketing determinants of SCM and their impact on commitment and process integration.

The approach takes the form of descriptive research leading into causal research, using survey data and testing relationships with Structural Equation Modelling.

The study found that there are significant behavioural dimensions in SCM and identified the impact of those dimensions on supply chain commitment and process integration. One noticeable finding of this study was the nature of supply chain commitment within Confucian culture.

Data for the study were drawn from one single industry, so the findings are indicative but not representative of all supply chains. Also, the results cannot be generalised to other countries and industries. However, this study acts as a starting‐point to understand how behavioural and marketing determinants may impact supply chain commitment and business process integration. A series of future studies may follow this study to develop a comprehensive understanding of the nature, structures and strategies of supply chain commitment in Confucian culture.

This study will enable supply chain managers to understand the role of behavioural and marketing factors in managing supply chains. The root of Confucian culture lies in Asia, and Asia is an integral part of global supply chains. An understanding of Confucian dynamics will enable practitioners to manage these supply chains efficiently.

This paper contributes to an understanding of the behavioural/soft determinants in managing supply chains, particularly in Asia. This study also highlights the role of Confucian dynamism in shaping supply chain commitment. Both these areas had previously been under‐researched.

Behavioural change practice has focussed attention on understanding behaviour; failing to apply dynamic approaches that capture the underlying determinants of behavioural change. Following recommendations to direct analytical focus towards understanding both the causal factors of behaviour and behavioural change to enhance intervention practice, this paper aims to apply a hidden Markov model (HMM) approach to understand why people transition from one state to another (e.g. reporting changes from wasting food to not wasting food or vice versa).

Data were drawn from a 2017 food waste programme that aimed to reduce waste of fruit and vegetables by increasing self-efficacy through a two-week pilot, featuring recipes and in-store cooking demonstrations. A repeated measure longitudinal research design was used. In total, 314 households completed a phone survey prior to the two-week pilot and 244 completed the survey in the weeks following the intervention (77% retention in the evaluation study).

Two behavioural states were identified, namely, fruit and vegetable (FV) wasters and non-FV wasters. Age was identified as a causal factor for FV food wasting prior to the campaign (45-54 years were most likely to waste FV). Following the intervention, a total of 43.8% transitioned away from FV wasters to non-wasters, and attitudes and self-efficacy were indicated as potential causal factors of this change in FV waste behaviour.

Through this application, it is demonstrated how HMM can identify behavioural states, rates of behaviour change and importantly how HMM can identify both causal determinants of behaviour and behavioural change. Implications, limitations and future research directions are outlined.

This study aims to investigate the determinants of household behavioural intention towards household reducing, reusing and recycling behaviour of food waste management.

The data were collected from 670 households in Malaysia and analysed by using the partial least square method.

The findings reveal that motivation to participate, ability to participate and perceived benefits are the crucial factors that significantly influence households’ attitudes. Household attitude has a significant impact on household behavioural intention, whilst social influence and perceived behavioural control are not associated with it. Government support is positively related to perceived behavioural control. The result also indicates that household behavioural intention has a significant impact on household reducing, reusing and recycling behaviour.

The participants of this study were involved in home planning and food preparation in Malaysia. The individuals in charge of the household might have more awareness of food planning and waste control. Thus, it is recommended to adopt findings from other countries and learn from the experience of the local and international communities.

The households’ behavioural intentions can lead to the reducing, reusing and recycling behaviour of food waste management. The government policy mechanisms and households’ awareness can work effectively against food waste reduction because evaluations of the food waste programme were found to be scarce.

Food insecurity is one of the major social problems. Many people are not aware of the food waste impacts and consequences; thus, motivation, knowledge and information should be provided to the consumer through forums and campaigns.

The findings contribute to new insights of household behavioural intention towards food waste reduction management by assessing the determinants of household attitude and government support for food waste reduction management programmes towards household reducing, reusing and recycling behaviours.

While awareness of social, health and environmental consequences of our collective action are growing, additional efforts are required to deliver the changes needed to affect the greater good. A review of the literature indicates that research efforts may be misdirected. Drawing from empirical data where a total of 161 caregivers reported changes in their child’s walking behaviour following a month long social marketing program, the purpose of this paper is to illustrate differences between behaviour and behaviour change.

Data analyses involved use of multiple linear regression on static followed by dynamic measures of behaviour and behavioural change and their respective determinants. The static model used variables reported by caregivers after program participation, while the dynamic measures used change scores for all variables reported (T2-T1).

Results from the static model showed that only intentions and barriers explained behaviour at Time point 2. In contrast, findings from the dynamic data analysis indicated that a change in injunctive norms (important others’ approval of the child walking to school) explained a change in walking to and from school behaviour. Taken together, the results of the current paper suggest research attention needs to be directed towards dynamic methodologies to re-centre research attention on behavioural change and not behaviour, which dominates current practice.

This paper offers a foundational step to support the research community to redirect research efforts from understanding behaviour to focussing research design and theoretical development on behavioural change. Theories of behaviour change are needed to affect the greater good.

This study aims to explore the effect of social media engagement on the determinants of behavioural intention. Specifically, the authors empirically research the three behavioural intention determinants, namely, attitude, subjective norms and perceived behavioural control (PBC), and confirm their effect on students' intention to enrol on a university online programme.

A conclusive research analysis is followed, and a moderation analysis is conducted to test the hypotheses of the model. Empirical evidence from 201 students in the UK higher education is used and a structural equation modelling approach is followed.

The findings suggest a significant effect of social media engagement on attitude, subjective norms and PBC. The latter three are confirmed as determinants of the intention to enrol on a university online programme. Mindfulness is found to positively moderate the effect of the three determinants on behavioural intention.

This study advances knowledge pertaining to the theory of planned behaviour (TPB) by highlighting the effect of social media engagement on the determinants of the intention to enrol on a university online programme. Additionally, the moderating role of mindfulness is also tested with regards to its effect on the relationship between behavioural intentions and its determinants.

The main purpose of this study focuses on how to integrate the supply chain management business process. There were a total of 600 questionnaires issued in this study with 134 valid questionnaires being retrieved. The study concludes the following results: the level of idiosyncratic investments to supply chain partners, the degree of dependence between supply chain partners, and the level of product salability of manufacturer would enhance commitment and, consequently, the integration of the SCM business process. The degree of trust, power, continuity, and communication between supply chain partners would enhance commitment and, consequently, the integration of the SCM business process. The level of affective commitment, continuance commitment, and normative commitment of supply chain partners would be helpful in the integration of the SCM business process.

This study aims to investigate the moderating impact of environmental knowledge on the factors influencing individuals’ continuous intention to use e-wallets.

Using a quantitative research design, this study develops and empirically tests a structural model. A purposive sample of 344 e-wallet users in Jordan was analyzed using Smart-PLS software.

The results indicate that perceived usefulness, subjective norms and perceived behavioral control directly influence the intention to continue using e-wallets. Notably, environmental concern and environmental knowledge do not have a direct impact on continuous intention. However, they act as mediators in the relationship between perceived behavioral control and continuous intention. Specifically, environmental knowledge acts as a mediator between perceived behavioral control, subjective norms and continuous intention. Furthermore, environmental knowledge moderates the relationship between perceived behavioral control and subjective norms, significantly impacting users’ continuous intention to use e-wallets.

This study contributes to the extended theory of planned behavior model within the banking sector by emphasizing the enhanced explanatory power of environmental factors. It underscores the pivotal role of environmental knowledge as a moderator that connects determinants of e-wallet usage to continuous intention.

Coronavirus disease 2019 (COVID-19) has seriously affected the global economy. How agribusinessmen are overcoming this crisis is being noticed in emerging markets. Using social capital to diversify agribusiness for getting more customers is a useful solution for the growth of agribusiness. However, there is a lack of evidence on the aggregate measurement scale of social capital and the influence of behavioral goals on the intention toward agribusiness diversification. Therefore, this study aims to develop an integrated measurement of social capital and investigate its effect on agribusiness diversification intention using the expanded theory of planned behavior (TPB).

A mixed-methods approach is used, including four in-depth interviews, three focus group discussions and two surveys. Structural equation modeling is applied to a sample of 484 respondents to test the proposed hypotheses.

The study shows the role of social capital in influencing the intention to diversify agribusiness under the premises of the resource-based view (RBV). The scale of social capital is also developed, which is the first integrated measurement of this asset. The findings contribute significantly to the existing knowledge of social capital, the TPB and diversifying agribusiness.

This is the first study to explore the comprehensive effect of the facets of social capital on behavioral intention through behavioral goals and determinants of the TPB under the premises of the RBV. The findings will help emerging economies, for example, Vietnam, where most farmers are family business owners or microscaled entrepreneurs in agriculture.

Underreporting of new tuberculosis (TB) cases is one of the main problems in TB control, particularly in countries with high incidence and dominating role of a private sector in TB cases diagnosing. The purpose of this paper was to explore behavioral determinants of underreporting of new TB cases among private sector physicians in Iran.

The authors conducted a population-based, cross-sectional study of physicians working in private clinics. The data collection tool was designed using the theory of planned behavior (TPB). The authors used structural equation models with maximum likelihood estimation to examine attitude toward the notification behavior.

Of 519 physicians, 433 physicians completed the questionnaire. Attitude toward notification had the highest score (mean score = 87.65; sd = 6.79; range: 0–100). The effect of perceived behavioral controls on the notification behavior ((β^) = 0.13; CI: 0.01–0.25) was stronger than the total effect of attitude ((β^) = 0.06; CI: 0.00–0.12) and subjective norms ((β^) = 0.01; CI: −0.00–0.03) on the behavior. However, the attitude was the main predictor of intention and justified 46% of the intention variance. Intention had a significant effect on the behavior ((ß^) = 0.09; CI: 0.1–0.16).

Considering stronger effect of perceived behavioral control on the behavior, interventions aiming at facilitating notification process would be more effective than those aiming at changing the attitude or enhancing intention among physicians.

To the best of our knowledge, no other study previously explored determinants of underreporting from the behavioral and cognitive perspective. Specifically, the authors explored the role of the TPB constructs in predicting intention to notify new TB cases.

The purpose of this paper is to propose and test a comprehensive model that captures individual, system and situational drivers of customers’ intention to use and actual use of self-service technologies (SSTs).

This paper is based on a survey conducted among 143 users and 150 non-users of SSTs at the exit of a grocery store. The proposed model was analysed using structural equation modelling and a logistic regression.

The results demonstrate that: first, in addition to previous usage behaviour (i.e. usage frequency), situational factors (time pressure, basket size, coupons and queue length at the SSTs and staffed checkouts) influence customers’ decisions to use SSTs during a specific shopping trip; and second, perceived behavioural control is the most important determinant of behavioural intention, followed by perceived usefulness, need for interaction and perceived ease of use and enjoyment.

Although an abundance of research has investigated the adoption of SSTs, little is known about what drives real usage. This study considers the actual usage of SSTs in a specific context, as well as the situational factors that influence the choice of SSTs over traditional checkouts. In addition, this paper provides an integrative model including actual usage, use frequency and behavioral intention and its antecedents by extending the Technology Acceptance Model 3.