Search results

Drawing upon Abrahamson's (1991) typology of innovation diffusion, this study aims to investigate the factors underpinning diffusion of sustainability key performance indicators (SKPIs) in a developing country.

A qualitative study was conducted in Sri Lanka involving semi-structured interviews with managers, as users of SKPIs (demand-side), and both consultants and academics, as agents in diffusion process (supply-side).

Diffusion of SKPIs was found to be driven by efficient-choice considerations, with fashion motives intertwined with these. The diffusion was influenced by developing country context issues relating to market competition, education, government and culture. It was somewhat surprising that market forces played a key role to the extent they did. Minimal stakeholder pressure was found to undermine the diffusion process, contrasting with developed countries in which key stakeholders act as catalysts. The developing country context appears to slow down the pace, rather than alter the pattern, of diffusion of SKPIs.

This study is limited by its focus on SKPI adopters, which does not permit to draw insights regarding motivations of non-adopters.

This study draws upon Abrahamson's typology to explore the diffusion of SKPIs in the poorly understood developing country context. The findings provide insights into driving forces behind diffusion of SKPIs, suggesting the developing country context creates “stickiness” that influences pace rather than the pattern of diffusion of SKPIs.

The purpose of this paper is to portray the future of tourism in New Zealand based upon a philosophy of sustainability and cultural identity as a response to the present 2025 Tourism Strategy.

The research deployed a scenario planning methodology resulting in four portraits of the future.

Environmental issues and global migration are the key issues that will shape the future of New Zealand tourism. In order to address these issues four scenarios were constructed. New Zealand Wonderland portrays a future based upon a grounded international reputation for environmentalism driven by good governance, climate change targets and ecotourism. Indiana Jones and the Search for Cultural Identity position a future driven by rapid growth and unregulated air travel resulting in environmental degradation. A Peaceful Mixture is a balance of socio‐cultural and environmental dimensions of sustainability at the centre of a tourism product shaped upon Maori culture and economic prosperity. The final scenario, New Zealand in Depression, is the worst possible outcome for New Zealand's tourism industry as the three dimensions of economy, community, and environment are not at equilibrium. New Zealand would be over‐polluted with an uncontrolled number of migrants.

The research was a social construction of ten experts’ views on the future of sustainable tourism.

New Zealand's present approach to the future of tourism is shaped by the 2025 Tourism Framework (http://tourism2025.org.nz/). This is derived from a business perspective and a neoliberal political philosophy and it is void of the words ecotourism and sustainability. This paper argues that the present strategy will fail because of community disengagement that proposes a range of alternative directions based upon a political discourse of sustainability and shaped by environmental credentials and cultural identity.

Drawing upon the theory of planned behaviour (TPB), the purpose of this paper is to examine the influence of managers’ attitude and other psychological factors on sustainability reporting (SR). In doing so, this paper aims to respond to calls for the use of previously untried theoretical approaches on the SR literature.

The study uses a survey of top and middle-level managers of listed and non-listed companies in Sri Lanka. Data were analysed using a Partial Least Squares path model.

The findings indicate that managers’ attitude towards SR, belief about stakeholder pressure, and their capacity to control SR behaviour influence their intention to engage in SR and, indirectly, actual corporate SR behaviour (in the context of listed companies). However, whilst managers of non-listed companies exhibit the intention to engage in SR, the lack of a relationship between intention and behaviour suggests that companies face barriers towards SR due to lack of actual control over the SR process. Religion, in the case of non-listed companies, and education, in the case of listed companies, has some degree of influence over managers’ beliefs.

The use of self-reported SR behaviour is a limitation but necessary to maintain anonymity of respondents. The low levels of self-reported SR correspond with past evidence on actual SR in developing countries.

The results show that managers’ psychological factors are important in determining SR behaviour in companies. Specifically, this highlights the possible roles that regulators, professional bodies and companies can play in improving educational and cultural influences towards improving the level of SR.

This is the first study to apply the TPB to understand SR behaviour by integrating psychological factors relating to managers’ belief, attitudes and perceptions.

The adoption of digitalization and sustainability is key phenomenon that has changed perception and behaviors of people recently. As there is a rising power of digital communication by social media platforms, there is higher interaction between people globally. In addition, consumers can influence each other to adopt new consumption pattern. At this point, this paper aims to examine the role of green women influencers on promoting sustainable consumption patterns via social media platforms.

This study employed qualitative research method. The study included four top-lists for green/sustainable social media influencers as a sample case. Then, the data were analyzed by descriptive content analysis. To determine the role of green women influencers in sustainable consumption, this study used classification and categorization technique through descriptive content analysis.

The study indicates that green women are seen as a primary social media influencer because of promoting sustainable consumption patterns in general. Especially, green women have more power to change consumption patterns via digital platforms. Green women social media influencers, who are micro-celebrities, share primary contents such as sustainable fashion, green foods, sustainable travel, sustainable lifestyle, conscious choices, green cosmetics and zero waste life to promote sustainable consumption patterns. Women social media influencers are much more effective than men influencers to transform society's consumption behaviors into sustainable consumption patterns.

The study provides some qualitative findings based on the selected four top-listed green social media influencers by different social media platforms. Future studies can find out different results based on different sample cases and employ quantitative research methodology.

The study suggests policymakers to cooperate with green women social media influencers to achieve sub-targets of 2030 Sustainable Development Goals (SDGs). Especially, it is suggested to cooperate with micro-celebrities or Internet celebrities to promote sustainable consumption patterns.

The study proves that women social media influencers have the essential role in promoting green/sustainable consumption patterns via digital platforms. In addition, green women influencers can guide their followers to adopt sustainable consumption patterns.

Considers how non‐Thais can negotiate successfully withe business and government executives in Thailand. Gives an overview of Thailand’s geography, climate, population, religion and business practice. Discusses important aspects of the social‐cultural environment that have a significant effect on the way Thai’s negotiate. Includes further tips regarding body language, entertainment protocol, how to dress, and favourite negotiating tactics by buyers and sellers. Provides conclusions and directions for further research.

Drawing on Coburn and Turner's framework for research on data use, this study looks at how contextual factors support interactions around data. In so doing, the authors contribute to the emerging body of literature on administrators supporting high school students' social-emotional learning (SEL).

This two-site case study “follows the data” that were shared with administrators at two high schools based on a longitudinal study of students' SEL. One author of this study has been leading a research project of high school students' SEL in two high schools from two different districts in a Midwest university town since 2017. This study follows what happened in both high schools after the author shared students' SEL data with district personnel.

Findings showed that participants were invested in increasing SEL programming. However, SEL data moved in different ways through the two schools, and all individuals had different ideas about which data were important. Each district dealt with a specific set of organizational norms, existing inequities, and beliefs systems that influenced which SEL data were noticed and how, if at all, data spurred action.

Specific aspects of organizational contexts support and constrain SEL data use. Both cases suggest researchers can guide data use practices that can advance students' SEL. However, each district dealt with a specific set of educational inequities, which influenced which data were noticed and how, if at all, data spurred action. Importantly, data-driven decision-making must be conducted from an equity lens, lest the process replicate existing inequities.

This paper aims to investigate doctoral examiners' narratives on their expectations of the candidate's oral performance in the PhD viva. Both the PhD examiners and handbooks that offer advice on the PhD viva preparation appear to share the same expectation of the candidate's oral performance in the viva. That is, candidates must answer questions to the satisfaction of examiners to warrant a pass in the oral examination. However, what constitutes a satisfactory viva performance – let alone an excellent one – is often undefined.

Using narrative inquiry as the guiding research approach to investigate this issue, 12 experienced doctoral examiners from across the disciplines at a Malaysian research university were interviewed. Their narratives were analysed inductively.

The findings show that examiners expect candidates to speak the language of defence by manifesting confident, interactional behaviour, providing credible and convincing responses and displaying doctoralness. The aspects of candidate's oral performance undesired by the examiners, as well as the reasons for having such expectations, are also discussed. The paper argues that the expectations of examiners in the PhD viva should be made explicit and communicated to the candidates and examiners to ensure a positive doctoral assessment process and outcome.

This paper contributes to the literature on doctoral assessment, particularly on the PhD viva, through the voices of examiners in the Global South. It also offers an examiner expectancy model of the PhD viva.

Missed appointments within the National Health Service (NHS) are a drain on resources, associated with not only considerable time and cost implications, but also sub-optimal health outcomes. This literature review aims to explore non-attendance within the NHS in relation to causes, impacts and possible mitigation of negative effects of missed appointments.

MEDLINE, CINAHL Plus and PubMed were searched with a date range of 2016–2021. Databases were searched for peer-reviewed articles published in English addressing non-attendance of adults within the NHS. Studies were excluded if they were theoretical papers, dissertations or research concerning patients aged under 18. A total of 21 articles met the inclusion criteria and were selected for analysis.

The results indicate a significant association of non-attendance and poor health outcomes. Patients from a lower socioeconomic status, adults aged over 85 and those with multiple co-morbidities are more likely to miss appointments. The most commonly reported patient-centred reasons for failing to attend were forgetfulness, transportation difficulties, and family commitments. Practice-specific reasons were cited as inefficiencies of the appointment booking system, failure of traditional reminders and inconvenient timings. Interventions included text reminder services, the inclusion of costs within reminders and enhanced patient involvement with the booking process.

Non-attendance is complex, and to secure maximum attendance, targeted interventions are required by healthcare facilities to ensure patient needs are met. The adaption of scheduling systems and healthcare services can assist in reducing DNA rates.

This integrative review aimed to identify and synthesis literature on analysis techniques and methodological approaches used to analyse consumer measures in mental health research.

The review included papers published up to January 2020 across seven databases: CINAHL, Web of Science, Medline, PsycINFO, EMBASE, Scopus and Google Scholar. Data search and extraction was conducted according to the recommended guidelines for conducting review by Cochrane and Joanna Briggs Institute. Mixed method synthesis was used to integrate both qualitative and quantitative data into a single synthesis.

The initial search yielded a total of 2,282 papers. A total of 32 papers were included in the synthesis. Most of the included papers (25/32; 78.12%) focused on psychometric properties, whereas 14% (5/32) targeted analysis techniques, and 6.3% (2/32) addressed methodological justification. The measurement models (e.g. psychometric properties) were analysed through validity and reliability testing as part of instrument development and adaptation. The structural models were analysed using techniques such as structural equation modelling, multivariable regression models, intraclass correlation coefficient and partial least squares–structural equation modelling.

Although consumer-reported instruments are analysed using techniques involving linear, hierarchical and longitudinal effects, no attempt has been given to procedures that applied complex data mining or machine learning. Consumer researchers, clinicians and quality management are encouraged to apply rigorous analysis techniques to critically evaluate consumer outcome measures.

This review provides evidence on the analysis techniques in mental health research to inform the training of mental health professionals, students and quality assessment practitioners.