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Behaviours occur across complex, dynamic timelines. Research methods to analyse these complex timelines have repeatedly used behaviour sequence analysis (BSA) as a primary method. Traditional BSA outputs, however, are limited in that they do not show how prevalent a behaviour sequence is throughout a sample or group. Until now, how many people in a sample showed the sequence was not analysed and reported. This paper aims to provide a new metric to calculate prevalence scores in BSA data sets.

Open access recorded responses including nonverbal communication of deceptive and truthful individuals were analysed initially with a standard BSA approach and then the prevalence scores of transitions were calculated.

Prevalence scores offered new insights into the distribution of sequences across groups. The prevalence score showed differences in which transitions were seen across the truthful and guilty samples. This offers new approaches to analysing nonverbal communication.

This is the first paper to provide a prevalence score for BSA research and show how it can be used in applied research. The current prevalence score metric is provided and suggested for all future research into sequences.

Crowdfunding (CF) is a digital-financial innovation that, bypassing credit crisis, bank system rigidities and constraints of the capital market, is allowing new ventures and established companies to get the needed funds to support innovations. After one decade of research, mainly focused on relations between variables and outcomes of the CF campaign, the literature shows methodological lacks about the study of its overall behavior. These reflect into a weak theoretical understanding and inconsistent managerial guidance, leading to a 27% success ratio of campaigns. To bridge this gap, this paper embraces a “complex system” perspective of the CF campaign, able to explore the system's behavior of a campaign over time, in light of its causal loop structure.

By adopting and following the document model building (DMB) methodology, a set of 26 variables and mutual causal relations modeled the system “Crowdfunding campaign” and a data set based on them and crafted to model the “Crowdfunding campaign” with a causal loop diagram. Finally, system archetypes have been used to link the causal loop structure with qualitative trends of CF's behavior (i.e. the raised capital over time).

The research brought to 26 variables making the system a “Crowdfunding campaign.” The variables influence each other, thus showing a set of feedback loops, whose structure determines the behavior of the CF campaign. The causal loop structure is traced back to three system archetypes, presiding the behavior in three stages of the campaign.

The value of this paper is both methodological and theoretical. First, the DMB methodology has been expanded and reinforced concerning previous applications; second, we carried out a causation analysis, unlike the common correlation analysis; further, we created a theoretical model of a “Crowdfunding Campaign” unlike the common empirical models built on CF platform's data.

Safe food-handling media campaigns have been successful at improving some safe food-handling behaviours among consumers. However, little is known about whether specific mechanisms of change, such as habit and perceived risk, can improve the effectiveness of safe food-handling campaign materials. Consequently, this study aims to determine if habit and risk-based behaviour change techniques can improve the effectiveness of safe food-handling media campaign materials.

A prospective experimental design was used. Participants completed baseline measures of habit, perceived risk and behaviour before watching two short safe food-handling video advertisements. Participants were then randomly assigned to complete either a habit or a perceived risk-based behaviour change technique task. Two weeks later, participants completed the baseline measures again. A series of multivariate analyses of variance were conducted to determine differences over time between the two groups in relation to habit, perceived risk and behaviour.

Significant increases in habit (p < 0.001), perceived risk (p < 0.001) and behaviour (p < 0.001) among all participants were found over the study period. However, there were no significant differences in these changes between participants who completed either task for the majority of the target behaviours and related constructs. This suggested that both habit and risk-based behaviour change techniques may help improve campaign materials; however, future research is needed to determine these effects in comparison to a non-active control group.

To the best of the authors’ knowledge, this is the first study to compare the use of two behaviour change techniques for improving safe food-handling health messaging materials. Future safe food-handling media campaigns would benefit from including habit and risk-based behaviour change techniques.

This paper studied the effects of music plus fragrance or music alone on consumer purchase behaviour, footfalls and repeat visits to retail stores in the context of the mall.

A primary research was conducted through a structured questionnaire. A field study was conducted in two malls that attract the maximum crowd. The data from 250 respondents were analysed in total.

As per the present study, the combination of playing music with fragrance is more effective compared to playing music or fragrance alone on shopping behaviour, footfalls and repeat visits in retail stores in emerging markets like India.

The study is more confined to a comparative study of the effectiveness of music with or without fragrance on consumer purchase behaviour and footfalls in retail stores located in malls. In view of research design, this could be a limitation of the study as types of music and other ambiance factors are not considered. The present study can be extended to religion as the religiosity of respondents may give a different response. The urban respondents may vary when compared to rural consumers. Therefore, the study can be extended by adding the rural or A-city mall or smaller malls in big cities. Research can be extended in the coronavirus disease 2019 (COVID-19) era to see if there is a change in consumer behaviour. It can also be extended to consumer's preference for different music and different fragrances.

This paper provides marketing managers and retail owners with valuable insights on the importance of using music with fragrance in retail stores to create unique consumer experiences in emerging markets that are different from developed countries. Managers should try to create both music, and fragrance in the store to improve purchase intention, and stay longer. To ensure that the planned music and fragrance approach creates the ambiance for consumers, marketing managers are advised to conduct market research. Special care should be taken for younger visitors to the store by creating the right ambiance. The present research will help many offline retailers' managers to strive for new competitive advantages through creating favourable shopping environments by understanding cultural differences.

The research gives direction to use music with a fragrance in the retail ambiance in the malls which will lead to improved consumer purchase, more footfalls, repeat visits and staying longer in emerging markets like India, which is a destination for global brands. Integration of three models of impulse buying (Rook and Fisher, 1995), individualism and collectivism (Triandis, 1995) and stimulus–organism–response (S–O–R) model of Mehrabian and Russell (1974) is used to explain the complex behaviour of consumers towards more purchases and repeat visits. The study will shed light on the quandary that retailers in the organised sector face in emerging markets such as India regarding the use of music and fragrance, as well as the impact on purchase behaviour, footfalls and repeat visits.

The purpose of this paper is to address the complexity of missing persons cases and highlight the linguistic differences that arise in this type of crime. Missing persons cases are typically very complex investigations. Without a body, crime scene forensics is not possible, and police are often left only with witness and suspect statements. Forensic linguistics methods may help investigators to prioritise or remove suspects. There are many competing approaches in forensic linguistic analysis; however, there is limited empirical research available on emerging methods.

This research investigates Statement Analysis, a recent development in linguistic analysis that has practical applications in criminal investigations. Real-world statements of individuals convicted of or found to be not guilty of their involvement in missing persons cases were used in the analyses. In addition, Behaviour Sequence Analysis was used to map the progressions of language in the suspects' statements.

Results indicated differences between the guilty and innocent individuals based on their language choices, for example, guilty suspects in missing [alive] cases were found more likely to use passive language and vague words because of high levels of cognitive load associated with the several types of guilty knowledge suspects in missing persons cases possess. Of particular interest is the use of untruthful words in the innocent suspects’ statements in missing [murdered] cases. While typically seen in deceptive statements, untruthful words in innocent statements may result because of false acquittals.

This research provides some support for Statement Analysis as a suitable approach to analysing linguistic statements in missing persons cases.

This study aims to adopt the microfoundation perspective to investigate undesirable knowledge rejection by individuals in organizations in the context of counterproductive knowledge behavior (CKB). The paper advances a conceptual framework of the conditions of knowledge rejection by individuals and their respective knowledge rejection behavior types.

This study reviews the limited literature on knowledge rejection and outline a set of antecedents leading to rejecting knowledge as well as a set of different types of knowledge rejection behaviors. This study reviews and synthesizes articles on knowledge rejection from a microfoundation perspective.

The proposed conceptual framework specifies four particular conditions for knowledge rejection and outlines four respective knowledge rejection behavior types resulting from these conditions. Recipients’ lack of capacity leads to ineptitude, lack of motivation leads to dismissal of knowledge, lack of alignment with the source leads to disruption and doubts about the validity of external knowledge lead to resistance. The authors treat these behaviors as variants of CKB, as they can hinder the productive use of knowledge resources in the organization.

Further investigation of both knowledge rejection causes and the resulting knowledge rejection behaviors will ensure a more thorough grasp of the relationships between them, both in terms of the inherent nature of these relationships and their dynamics that would likely be context-sensitive. Although this study focuses only on the individual level, future studies can conduct multi-level analyses of undesirable knowledge rejection, including team and organizational levels.

Practitioners can use the framework to identify, diagnose and manage knowledge rejection more meaningfully, accurately and purposefully in their organizations. This study offers valuable insights for managers facing undesirable knowledge rejection, and provides recommendations on how to address this behavior, improves the constructive use of knowledge resources and the effectiveness of knowledge processes in their organizations. Managers should be aware of undesirable knowledge rejection, its potential cost or concealed cost to their organizations and develop strategies to reduce or prevent it.

The paper contributes toward understanding the relatively neglected topic of knowledge rejection in the knowledge management field and offers a new way of conceptualizing the phenomenon. It proposes that there are two types of knowledge rejection – undesirable and desirable – and advances a more precise and up-to-date definition of undesirable knowledge rejection. Responding to calls for more research on CKBs, the study examines a hitherto unresearched behavior of knowledge rejection and provides a foundation for further study in this area.

Entrepreneurship studies have established various antecedents leading to eventual entrepreneurship by measuring entrepreneurial intention (EI). However, evidence has shown that intention does not necessarily translate into behaviour, especially for complex behaviours such as creating a business venture. Hence, this paper aims to examine how contextual and individual factors interact with one another to promote or inhibit one’s translation of EI into entrepreneurial action in an emerging economy.

The authors adopt a retrospective qualitative approach by interviewing 37 Malaysian micro and small business owners. Then, multidimensional scaling is used to examine the interactions between the identified factors.

The authors find that social networks are the main influence on an individual’s propensity to start a business – it provides financial and social capital, provides other means of support such as practical help and business opportunities and instils passion and drive. Furthermore, organisations such as schools, universities and employers play an important role in instilling the motivation for a career shift to entrepreneurship and by providing opportunities to upskill. In addition, the findings indicate that entrepreneurial traits such as proactiveness, resourcefulness and passion enable individuals to overcome entrepreneurial structural constraints, such as lack of resources and negative action-related emotions. By contrast, the role of macro-environmental factors such as governmental support play less prominent roles in the narratives of the entrepreneurs.

This study has important implications for governments and policymakers in implementing support for those transitioning from salaried employment to self-employment and for entrepreneurship interventions to adopt a holistic approach that encompasses building one’s entrepreneurial knowledge, skills and mindsets, alongside providing external incentives.

The authors provide a more holistic approach to exploring the EI–behaviour gap. In addition, this study explored facilitators and barriers to entrepreneurship specific to the context of an emerging economy such as Malaysia, which is highly dependent on small-scale self-employment.

Understanding when an individual is being deceptive is an important part of police and criminal investigations. While investigators have developed multiple methods, the research literature has yet to fully explore some of the newer applied techniques. This study aims to investigate statement analysis, a recent approach in forensic linguistic analysis that has been applied to criminal investigations.

Real-world statements of individuals exposed as deceptive or truthful were used in the analyses. A behaviour sequence analysis approach is used to provide a timeline analysis of the individuals’ statements.

Results indicate that sequential patterns are different in deceptive statements compared to truthful statements. For example, deceptive statements were more likely to include vague words and temporal lacunas, to convince investigators into believing that the suspect was not present when the crime occurred. The sample in this research did not use one deceptive indicator, instead, electing to frequently change the order of deceptive indicators. Gaps in deception were also noted, and there was common repetition found in both the deceptive and truthful statements. While gaps are predicted to occur in truthful statements to reflect an absence of deception, gaps occurring in the deceptive statements are likely due to cognitive load.

The current research provides more support for using statement analysis in real-world criminal cases.

This study aims to integrate the theory of planned behavior (TPB), norm activation model (NAM) and stimulus–organism–behavior–consequences theory (SOBC) with the moderators to investigate the main determinants of energy-saving behaviors as well as how group-level factors and media publicity significantly facilitate the energy-saving intention-behavior linkage among dormitory students in higher education institutions (HEIs).

A valid sample of 325 dormitory students resided in universities of Vietnam and a three-step analysis approach via SPSS 28.0 and AMOS 25.0 were used to test the hypothesized model.

This study yields that external stimuluses (subjective norms and perceived behavioral control) positively and strongly stimulate energy–energy attitude, while internal stimuluses (ascription of responsibility, awareness of consequences) arouse personal norms. Both internal and external stimuluses were found to have serially mediation effects on energy-saving behaviors via attitude toward energy saving, personal norms and energy-saving intention. Remarkably, group interaction and media publicity exert prominent positive moderation effects on the energy-saving intention–behavior relationship.

The findings of this research can be valuable for HEIs and policymakers to inspire university students’ energy conservation behavior for sustainable development goals.

This study contributed to the proenvironmental literature by adopting the SOBC paradigm that strengthens the integration of TPB and NAM models to explore the main determinants of dormitory students’ energy-saving behaviors, explain the underlying mediation mechanisms of organisms and behavioral responses and illustrate the moderation role of group-level factors and media publicity.

Sustainable development of entrepreneurship could be comprehensively analyzed using a simulation model for entrepreneurship ecosystem based on the system dynamics approach. Thus, a complete analysis of the entrepreneurship ecosystem is of high importance. However, an effective analysis of entrepreneurship ecosystem involves many challenges, such as the presence of several factors which interact with each other in various ways with different complex effects in time. Therefore, the approach used in this study is employing analysis of entrepreneurship ecosystems in sports industry using analysis of dynamic systems.

Several applied issues such as entrepreneurship opportunities, infrastructures, market opportunities and entrepreneurship space in the borders of the dynamic model developed based on the literature and experts' opinion. Finally, a set of strategies based on experts' opinion are ranked with the objective of improvement of evaluation measures using network analysis decision-making approach and fuzzy TOPSIS.

The results obtained indicate the important role of sports entrepreneurship opportunities, sports tourism, market opportunities, entrepreneurship infrastructures and entrepreneurship-oriented environment in the development of sports entrepreneurship infrastructure in Iran. The credibility and efficiency of the proposed model for analysis of sports entrepreneurship have been ultimately shown.

A holistic approach is proposed based on the hybrid system dynamics approach and fuzzy decision-making method to analyses sports entrepreneurship ecosystem.