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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.

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.

When investigating missing persons cases, witness and suspect statements are often the only available evidence to investigators. As such, forensic linguistics can be useful to police when seeking information from individuals during investigative interviews. The presumption of innocence must be maintained in an investigation, and therefore this study aims to use a method focused on veracity detection, rather than the majority of studies using deception detection approaches.

The current research uses criteria-based content analysis (CBCA), a method that has been applied to a variety of criminal cases. Real-world statements of individuals convicted or found innocent of their involvement in missing persons cases were used in the analyses. Additionally, behaviour sequence analysis (BSA) was used to map language patterns within individuals’ statements.

Results indicated that two individual markers occurred at a high frequency across all four groups (the guilty and innocent statements of both case types); however, differences were noted in the sequences based on an individual’s ability to provide experiential details.

The current research contributes to the growing literature that aims to test CBCA in adult samples across crimes that do not pertain to sexual abuse, in addition to aiding researchers and practitioners to understand better the linguistic differences that occur in missing persons cases.

To the best of the authors’ knowledge, this type of research, using CBCA to assist with missing person's cases with a temporal method (BSA), has never before been tested. BSA has previously been used in forensic linguistics, and shown support for the method. The current research builds on this in terms of missing persons cases.

This study aims to explore computer-assisted language learning (CALL) activities to improve the English essay writing of Pakistani university students. It highlights the role of CALL in the language proficiency model cognitive academic language proficiency (CALP), which can enable second language learners to engage in more critical thinking skills effectively. Furthermore, it aims to explore English language teachers’ experience about the use of CALL-based activities in English language classrooms or labs.

This study followed a pre-post study design to examine whether the structure of an essay and computer-based activities helped to improve English language proficiency among non-native speakers. This design is adopted to investigate the effects of CALL activities on students’ English essays. This study used data from 198 students and after this, four English teachers were interviewed to know their opinions and observations about these CALL-based activities and students’ essay writings. Pre- and post-test data was analysed in percentages and further examined through a t-test. The findings of teachers’ interviews were further analysed through Nvivo software to develop an understanding of research questions through significant themes.

The pre-test results confirmed that students’ language proficiency is underdeveloped and informal. Students needed help constructing introductory paragraphs with the reader’s hook, background information, three-point thesis statement and transitional hook. Whereas, post-test results showed that students’ English language proficiency in essay writing was found improved with the use of technological tools and CALL-based activities. Furthermore, it was observed that structure and teacher feedback in essay writing are vital for English proficiency.

This study benefits English language teachers, administrators, language policymakers and syllabus designers at colleges and universities. The debate over how to improve English language proficiency and academic achievement presents diverse challenges across several countries. Non-native speakers, at an undergraduate level, can significantly improve academically and become proficient in English essay writing with the help of structural guidelines and the use of educational technology. This article demonstrates a two-way process to improve an objective definition of English language development, which is conceivable if the technology is adopted.

The importance of networks in effecting the outcomes of change processes is well‐established in the literature. Whilst extant literature focuses predominantly on the structural properties of networks, our purpose is to explore the dynamics of network emergence that give rise to the outcomes of process improvement interventions. Through the use of actor‐network theory (ANT), the purpose of this paper is to explore the dynamics in the implementation of a process improvement methodology in the complex organisational setting of a UK National Health Service Trust. The paper illustrates the utility of ANT in articulating the dynamic nature of networks underpinning socio‐technical change, and our analysis provides insights for the management process change initiatives.

This is a rich qualitative study in the Pathology Unit of a UK National Health Service Trust, using ANT as the theoretical lens for tracking the emergence and transformation of networks of individuals over the course of a management intervention to promote “Lean thinking” for process performance improvements.

ANT is useful for explicitly tracking how organisational players shift their positions and network allegiances over time, and for identifying objects and actions that are effective in engaging individuals in networks which enable transition to a Lean process. It is important to attend to the dynamics of the process of change and devise appropriate timely interventions enabling actors to shift their own positions towards a desired outcome.

The paper makes the case for using theoretical frameworks developed outside the operations management to develop insights for designing process interventions.

By understanding the role of shifting networks managers can use timely interventions during the process implementation to facilitate the transition to Lean processes, e.g. using demonstrable senior leadership commitment and visual communication.

This study aims to provide a review of brownfield policy and the emerging sustainable development agenda in the UK, and to examine the development industry's (both commercial and residential) role and attitudes towards brownfield regeneration and contaminated land.

The paper analyses results from a two‐stage survey of commercial and residential developers carried out in mid‐2004, underpinned by structured interviews with 11 developers.

The results suggest that housebuilding on brownfield is no longer the preserve of specialists, and is now widespread throughout the industry in the UK. The redevelopment of contaminated sites for residential use could be threatened by the impact of the EU Landfill Directive. The findings also suggest that developers are not averse to developing on contaminated sites, although post‐remediation stigma remains an issue. The market for warranties and insurance continues to evolve.

The survey is based on a sample which represents nearly 30 per cent of UK volume housebuilding. Although the response in the smaller developer groups was relatively under‐represented, non‐response bias was not found to be a significant issue. More research is needed to assess the way in which developers approach brownfield regeneration at a local level.

The research suggests that clearer Government guidance in the UK is needed on how to integrate concepts of sustainability in brownfield development and that EU policy, which has been introduced for laudable aims, is creating tensions within the development industry. There may be an emphasis towards greenfield development in the future, as the implications of the Barker review are felt.

This is a national survey of developers' attitudes towards brownfield development in the UK, following the Barker Review, and highlights key issues in UK and EU policy layers.

Vaccination is widely conceded as a pivotal measure to achieve community immunization and eradicate COVID-19. The purpose of this paper is to understand vaccination behavior based on the association between the theory of planned behavior (TPB) and health belief model (HBM).

A self-administered questionnaire was designed to collect data from 438 participants through social media in Vietnam and later analyzed using SPSS and AMOS to examine the research model.

The results indicated that attitude toward vaccination is positively influenced by perceived risk and perceived benefits. Additionally, background constructs of TPB (i.e. social norms, attitude and perceived behavioral control) and HBM (i.e. perceived risk, response efficacy, perceived benefits and knowledge about COVID-19) are underlying motivations for individual intention to receive vaccine. Moreover, age is a demographic predictor of vaccination intention. Finally, vaccination intention facilitates COVID-19 vaccination.

The findings will assist health-care bodies and authorities to understand public perceptions, attitude and behaviors and encourage their participation in vaccination campaigns.

To date, this is the first investigation of how disease knowledge and perceived benefits drive vaccination intention in Vietnam. Moreover, this study may be initially successful in adding current health-care behavior literature by combining TPB with HBM. With most studies on vaccination intention at the early stage of COVID-19 outbreak in developed nations, this work provides new insights by testing vaccination behavior in the fourth wave of COVID-19 outbreak and in a developing nation.

This study aims to examine the underlying antecedents of memorable halal food experiences by considering how specific internal factors of non-Muslim tourists – novelty seeking, authenticity and sensory appeal – combine with external factors in a restaurant setting – togetherness, experience co-creation and substantive staging of the servicescape – to effect memorable halal food experiences. The study also examined the relationship between memorable halal food experiences and place attachment.

During the first week of August 2021, an online survey was used for data collection and shared on Amazon Mechanical Turk (Mturk) as well as sent to non-Muslim people known to the authors to have had halal food experiences in a tourism setting. A total of 293 valid responses were obtained.

The results revealed that novelty seeking, authenticity, experience co-creation, substantive staging of the servicescape, togetherness and sensory appeal influence memorable halal food experiences. Furthermore, these experiences positively impact place attachment.

This is one of the first studies to explore non-Muslim tourists’ memorable halal food experiences.

This study examines the relationship between servant leadership and its dimensions on firm performance, with big data playing the role of a mediator.

Survey responses used for analysis in this study have been taken from business managers associated reputed private sector organizations in India. A conceptual model is proposed grounded to the Conservation of Resource Theory (COR). Structural equation modeling has been used to test the proposed model.

Servant leadership significantly relates to firm performance, whereby Big Data is seen to play the role of a mediator. The results also indicate that none of the dimensions of servant leadership independently affect firm performance.

The study adds to extant research by examining the mediating mechanism of Big Data in servant leadership and firm performance. It also suggests that each dimension of servant leadership gets reflected in overall servant leadership. Here it is important to note that Big Data analytics partially mediate the effectiveness of servant leadership.