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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 research is concerned with youth activism in Singapore historically and the importance of legitimacy for understanding the further development of youth activism and Singapore’s democratization process. It takes into account issues pertaining to good governance, economic performance and democratic participation (legitimacy). The paper aims to discuss this issue.

The research adopts a historical approach, qualitative in nature with some quantitative analysis based on documentary research, press reports and content analysis.

Historically youth activism was vibrant and dynamic in the fight for independence and against inequality and injustice during the colonial era in Singapore. Under Lee Kuan Yew’s rule, the scope and boundary of democratic participation (legitimacy) were delimited and controlled by the state. State-contained or controlled participation has replaced contentious politics. In the Singapore General Election in 2011, the younger generation of Singapore electorate, who are better educated and well-travelled, however, proved themselves to be rational and pragmatic when they exercised their rights to reject polices detrimental to their socio-economic well-beings as well as to the inclusiveness of society. The People’s Action Party (PAP) had the lowest vote share (60 per cent) in history. Since then the PAP government had stepped up its efforts in improving welfare gains of the citizens as well as managing public discontents with more effective policies. The PAP victory in the Singapore election (GE 2015), however, showed that among other reasons, welfare gains and good governance helped in salvaging the electoral legitimacy vis-à-vis the political legitimacy of the PAP government. However, the PAP government’s continual harsh treatment of critics, young and old, means that to achieve democratic legitimacy, it has to break through the shackles of authoritarian leadership style and elite governance, which have led to the regime’s failure to face up to the reality of an emerging civic participatory culture in the Singapore contexts.

Legitimacy is an important concept. To date there is no systematic application of this concept to the study of Singapore electoral politics. This paper employs Bruce Gilley’s determinants of legitimacy – democratic legitimacy, welfare gains and good governance – to explicate the basis of the PAP’s regime legitimacy, the contradictions inherent in state-contained participation and political representation that delimited and undermined the nature, scope and boundary of democratic legitimacy.

In the light of the property relativist theory, the purpose of this paper is to review the impact of radical amendments to strata legislation in Singapore in 1999 which, together with changes to the planning framework, stimulated private‐sector led redevelopment in Singapore. This was achieved through the introduction of majority rule (rather than unanimity) in collective sales (CS) of strata developments. The paper also addresses the issue of how a balance can be achieved between the property rights of majority and minority strata owners.

The paper uses case‐studies, planning provisions, and data on property transactions to analyse the effectiveness of the measures taken to address Singapore's land‐scarcity problem. Legal terms and their significance are addressed in a manner that will also be comprehensible to a non‐legally trained readership.

The cases demonstrate attempts by the authorities to clarify, and to provide a better balance to, the position of those whose property rights had been sacrificed at the altar of redevelopment and urban rejuvenation in Singapore. Nevertheless, there still remain numerous pockets of resistance to CS. These still need to be addressed to reassure the minority in the context of the property relativist theory.

The continued groundswell of protests against collective sale means that there are further issues that need to be addressed to mitigate the plight of the minority. The response of parliament has been reactive, but it remains to be seen whether the minority's concerns have been adequately addressed.

The analysis of the cases, whose decisions turned on the authorities' interpretation of the controversial legislation, is instructive. These can provide valuable pointers for policy makers in other jurisdictions contemplating urban rejuvenation. The twin issues that are dealt with relate to how private‐sector redevelopment can be incentivised through planning measures, without riding roughshod over individuals' private property rights.

The recent COVID-19 pandemic caused a severe economic downturn. Employees working in these organisations face employment uncertainty. The pandemic disrupted their daily routines, and it added a layer of complexity to the already resource-constrained environment. During these times, employees would conserve their resources to maintain competitiveness, one of which is knowledge hiding. While economic activities are resuming, the appearance of new variants could mean the transition towards endemicity could be put on hold. Hence, there is a need to rethink the behaviour of employees as they would have elevated levels of anxiety towards resuming daily work activities. Therefore, this study aims to address the question of understanding employees’ perspectives toward knowledge sharing and knowledge hiding.

Drawing on the conservation of resources theory, social learning theory and the social exchange theory (SET), a conceptual framework involving ethical leadership was developed to examine if knowledge hiding or knowledge sharing behaviour is a resource for employees during these times. The partial least squares method of structural equation modelling was used to analyse results from 271 white-collar employees from Singapore.

The results show that ethical leadership encourages knowledge sharing but does not reduce knowledge hiding. At the same time, knowledge hiding, not knowledge sharing, improves one’s perception of work performance. Additionally, psychological safety is the key construct that reduces knowledge hiding and encourages sharing behaviour.

Overall, this study extends the theories, demonstrating that, first and foremost, knowledge hiding is a form of resource that provides employees with an added advantage in work performance during the endemic. At the same time, we provide a new perspective that ethical leaders’ demonstration of integrity, honesty and altruism alone is insufficient to encourage knowledge sharing or reduce knowledge hiding. It must lead to a psychologically safe environment.

The purpose of this paper is to theorise and develop seven dimensions (strategic supplier partnership, level of information sharing, quality of information sharing, customer service management, internal lean practices, postponement and total quality management) into a supply chain management (SCM) practices (SCMPs) construct and studies its causal relationship with the conceptualised constructs of supply chain performance (SCP) and manufacturing firms’ performance (MFP). The study also explores the causal relationship between SCP and MFP.

Data were collected through a survey questionnaire responded by 249 Jordanian manufacturing firms. The relationships proposed in the developed theoretical framework were represented through three hypotheses: H1 – there is a significant relationship between SCMPs and SCP; H2 – there is a significant relationship between SCMPs and MFP; and H3 – there is a significant relationship between SCP and MFP. Linear regression, ANOVA and Pearson correlation were used to test the hypotheses. The results were further validated using structural equation modelling.

The results indicate that SCMPs have a positive effect on SCP (H1), which in turn also positively affect MFP (H3). Despite this intermediary positive effect of SCMP on MFP through SCP, the study also suggests that SCMPs have a direct and positive effect on MFP (H2).

This study provides hard evidence indicating that higher levels of SCMPs can lead to enhanced supply chain and firms’ performance. It also provides SC managers of manufacturing firms with a multi-dimensional operational measure of the construct of SCMPs for assessing the comprehensiveness of the SCMPs of their firms.

This study is among the very first SCM researches conducted on the Jordanian manufacturing sector, particularly, in relation to the practices that manufacturing firms in this country need to adopt to make their supply chains a solid competitive vehicle for their development. The results have broader implications for all manufacturing companies, particularly in developing economies where the growth of manufacturing and the development of integrated supply chains are key stages in economic development.

Devotes the entire journal issue to managing human behaviour in US industries, with examples drawn from the airline industry, trading industry, publishing industry, metal products industry, motor vehicle and parts industry, information technology industry, food industry, the airline industry in a turbulent environment, the automotive sales industry, and specialist retailing industry. Outlines the main features of each industry and the environment in which it is operating. Provides examples, insights and quotes from Chief Executive Officers, managers and employees on their organization’s recipe for success. Mentions the effect technology has had in some industries. Talks about skilled and semi‐skilled workers, worker empowerment and the formation of teams. Addresses also the issue of change and the training that is required to deal with it in different industry sectors. Discusses remuneration packages and incentives offered to motivate employees. Notes the importance of customers in the face of increased competition. Extracts from each industry sector the various human resource practices that companies employ to manage their employees effectively ‐ revealing that there is a wide diversity in approach and what is right for one industry sector would not work in another. Offers some advice for managers, but, overall, fails to summarize what constitutes effective means of managing human behaviour.

This paper is to address the research gaps about Research Support System (RSS) as mentioned by earlier articles, and to provide a possible solution to develop an RSS for supporting academics in conducting their research.

This study adopts a single-case study with the application of netnography. Data were collected from an ongoing-using Wiki and the data were analysed using the theoretical lens established from earlier articles.

The result confirmed the possibilities of using Wiki to establish a system for supporting research. The authors have established a 3-stage EDM (Establishment, Development, Management) process model for illustrating the steps.

This single-case study revealed the possibility for using Wiki as RSS for helping academics to conduct their research through providing support in preparing literature review, conducting project management and providing an archive for research methodologies. The paper also provided suggestion for practitioners on the implementation of the RSS.

This paper presents one of the earliest studies for developing a model to explain how to develop an RSS that gives a more concrete definition of RSS and outline a process of using Wiki as an RSS.

Manufacturers of smartphone devices are increasingly utilising a diverse range of sensors. This innovation has enabled developers to accurately determine a user’s current context. One area that has been significantly enhanced by the increased use of context in mobile applications is tourism. Traditionally, tour guide applications rely heavily on location and essentially ignore other types of context. This has led to problems of inappropriate suggestions and tourists experiencing information overload. These problems can be mitigated if appropriate personalisation and content filtering is performed. This research proposes an intelligent context-aware recommender system that aims to minimise the highlighted problems.

Intelligent reasoning was performed to determine the weight or importance of different types of environmental and temporal context. Environmental context such as the weather outside can have an impact on the suitability of tourist attractions. Temporal context can be the time of day or season; this is particularly important in tourism as it is largely a seasonal activity. Social context such as social media can potentially provide an indication of the “mood” of an attraction. These types of contexts are combined with location data and the context of the user to provide a more effective recommendation to tourists. The evaluation of the system is a user study that utilised both qualitative and quantitative methods, involving 40 participants of differing gender, age group, number of children and marital status.

This study revealed that the participants selected the context-based recommendation at a significantly higher level than either location-based recommendation or random recommendation. It was clear from analysing the questionnaire results that location is not the only influencing factor when deciding on a tourist attraction to visit.

To effectively determine the success of the recommender system, various combinations of contextual conditions were simulated. Simulating contexts provided the ability to randomly assign different contextual conditions to ensure an effective recommendation under all circumstances. This is not a reflection of the “real world”, because in a “real world” field study the majority of the contextual conditions will be similar. For example, if a tourist visited numerous attractions in one day, then it is likely that the weather conditions would be the same for the majority of the day, especially in the summer season.

Utilising this type of recommender system would allow the tourists to “go their own way” rather than following a prescribed route. By using this system, tourists can co-create their own experience using both social media and mobile technology. This increases the need to retain user preferences and have it available for multiple destinations. The application will be able to learn further through multiple trips, and as a result, the personalisation aspect will be incrementally refined over time. This extensible aspect is increasingly important as personalisation is gradually more effective as more data is collated.

This paper contributes to the body of knowledge that currently exists regarding the study of utilising contextual conditions in mobile recommender systems. The novelty of the system proposed by this research is the combination of various types of temporal, environmental and personal context data to inform a recommendation in an extensible tourism application. Also, performing sentiment analysis on social media data has not previously been integrated into a tourist recommender system. The evaluation concludes that this research provides clear evidence for the benefits of combining social media data with environmental and temporal context to provide an effective recommendation.

This paper aims to test whether passive Wi-Fi visitor analytics is a useful and effective method to measure consumer engagement towards food trucks located within an outdoor activation area at an Australian metropolitan university.

Using passive Wi-Fi visitor analytics to ping and track smart devices, data was collected over 90 weekdays capturing data from 522,548 unique smart devices.

The data collected in this feasibility study was able to identify the most and least popular food trucks by displaying the differences in both bounce and engagement rates, suggesting that passive Wi-Fi visitor analytics are feasible and useful in this context. Furthermore, the results also demonstrate that food truck vendors and marketers should not engage in random rotation, but instead remain static to try and increase familiarity.

Current visitor tracking technology (i.e. ticketed sales, sales data and survey) is limited as it may not provide an accurate measurement of foot traffic, identify engaged patrons who passed by but did not complete a purchase and be available due to commercial sensitivity and confidentiality. Thus, the current research is the first to examine customer engagement (i.e. unengaged walk-by vs engaged but bounced vs engaged sales) with food trucks within an activation area by using passive Wi-Fi visitor analytics.

当前的论文旨在研究被动 Wi-Fi 访客分析是否是衡量消费者对位于澳大利亚城市大学户外活动区域内的流动餐车的参与度的有用且有效的方法。

使用被动 Wi-Fi 访客分析来跟踪智能设备, 从 522,548 个独特的智能设备收集了超过 90 个工作日的数据。

该可行性研究中收集的数据能够通过显示跳出率和参与率的差异来识别最受欢迎和最不受欢迎的流动餐车, 这表明被动 Wi-Fi 访客分析在这种情况下是可行和有用的。 此外, 我们的结果还表明, 流动餐车供应商和营销人员不应随意轮换, 而应保持静止从而增加顾客熟悉度。

当前的访客跟踪技术（即售票销售、销售数据和调查）是有限的, 因为它可能无法：（1）提供客流量的准确测量; (2) 识别路过但未完成购买的参与顾客; (3) 由于商业敏感性和保密性而可用。 因此, 目前的研究是第一个通过使用被动 Wi-Fi 访客分析来检查激活区域内流动餐车的客户参与度（即, 未参与路过, 相比于参与但跳出, 相比于参与售出额）。

The purpose of this paper is to investigate what causes a firm to choose between a business segment and a geographic segment as a primary segment for its segmental information disclosure. It seeks to examine Malaysian firms' experiences as they disclose segmental information under the new accounting standard known as FRS 114, Segment Reporting.

The paper involves 374 Malaysian public‐listed companies which disclosed segmental information in their 2006 annual reports. Four hypotheses are developed to examine the influence of these five factors, namely the size of the company, listing status, financial leverage, financial performance, and industrial membership. The non‐parametric test is employed to test the formulated hypotheses.

The results reveal two important outcomes: first, size of company, financial performance, and industrial membership are significantly associated with the choice of a primary segment; and financial leverage of a company and listing status are not significantly associated with the choice of a primary segment.

The limited number in the sample and inherent segmental reporting problems present limitations.

The paper implies extensive auditing work as the new standard requires more extensive disclosure for the primary segment, although the standard allows the adoption of primary segment reporting at management's discretion.

The paper's value lies in determining what motivates a company to disclose a business segment or a geographic segment as its primary segmental reporting basis.