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Senior citizen falls are one of the highest-cost factors of healthcare within this population group. Various approaches for automatic fall detection exist. However, little is known about the seniors’ acceptance of these systems. The purpose of this paper is to investigate the acceptance of automatic fall detection devices as well as the technological commitment and the health status in community-dwelling adults with a predefined risk of falling.

Seniors with a risk of falling were equipped with either an accelerometer or an accelerometer with an additional visual and optical fall detection system in a sub-group of the study population for a period of eight weeks. Pre- and post-study questionnaires were used to assess attitudes and acceptance toward technology.

In total, 14 subjects with a mean age of 75.1 years completed the study. Acceptance toward all sensors was high and subjects were confident in their ability to handle technology. Medical assessments showed only very mild physical and no mental impairments. Measures that assured subjects privacy protection were welcomed. Sensor technology should be as unobtrusive as possible.

Privacy protection and uncomplicated use of the fall detection equipment led to high acceptance in seniors with high-technical commitment and good health status. Issues to further improve acceptance could be identified. Future research on different populations is necessary.

This study examines the prediction power of investor sentiment on Bitcoin return.

We construct a Financial and Economic Attitudes Revealed by Search (FEARS) index using search volume from Google's search engine to reveal household-level (“bankruptcy”, “unemployment”, “job search”, etc.) and market-level sentiment (“bankruptcy”, “unemployment”, “job search”, etc.).

Using a variety of quantitative methodologies such as the transfer entropy model as well as threshold regression and OLS, GLS and 2SLS estimations, we find that (1) investor sentiment has strong predictive power on Bitcoin, (2) household-level sentiment has larger effects than market-level sentiment and (3) the impact of sentiment is greater in low sentiment regimes than in high sentiment regimes. Based on these information, we build a hypothetical trading strategy that outperforms a simple buy-and-hold strategy both on an absolute and risk-adjusted basis. The results are consistent across cryptocurrencies and regions.

The findings contribute to the ongoing debate in the literature on the efficiency of cryptocurrency markets. The results reveal that the Bitcoin market is not efficient in the sense of the efficient market hypothesis – asset prices do not fully reflect all available information and we were able to “beat the market”. In addition, it sheds further light on the debate whether Bitcoin can be considered a medium of exchange, i.e. a currency or an investment product. Because investors are reallocating their Bitcoin holdings during times of increased market sentiment due to liquidity needs, they obviously consider bitcoin an investment product rather than a currency.

This study is the first to examine the impact of investor sentiment measured by FEARS on Bitcoin return.

The purpose of this study was to examine the influence of adopted corporate social responsibility (CSR) constructs, which include economic, legal, ethical and philanthropic responsibilities, on the intended buying behaviour of Malaysian consumers. The study also aims to investigate the perceived value of whether the consumers considered an organisation’s CSR initiatives before deciding any purchase of products or services.

An online Google form survey successfully obtained 295 usable responses through a snowballing and networking approach. Statistical analyses such as Pearson correlation, ANOVA and standard multiple regression were used to examine the correlation and the strength of relationship, as well as the prediction between the CSR attributes and their impact on consumer buying behaviour.

The results represented a significant positive association between all the four constructs (social, ethical, legal and philanthropic) and consumer intended buying behaviour. These constructs also significantly contributed to the prediction of consumer behaviour towards the CSR initiatives. Conversely, the demographic profile of consumers had no effect on the relationship between CSR and consumer buying behaviour.

Examining basic concepts of CSR awareness and understanding might add to the flavour and rigour of this study, which future research should consider. The positivist approach of the current research could be supplemented with a more interactive qualitative in-depth study investigating why and how consumers behave.

The implication for Malaysian companies is that it is imperative for their long-term survival that a strategic view, rather than just a tactical, reactive or operational view, is taken of their CSR activities. Furthermore, it will help organisations to confidently predict positive intentions towards the sales of goods and services.

The outcome of this study has filled the CSR lacuna in the context of a developing country, as well as adding new insights into the influence and perceived value of CSR on intended consumer buying behaviour. Consumers, irrespective of their age and background, are getting wiser and cautious in purchasing products from companies which are CSR-oriented, in particular, in relation to social, legal, ethical and philanthropic perspectives.

This study aims to investigate the simultaneous impact of religion and modernity on attitude toward luxury consumption in Qatar, with emphasis on the mediating effect of self-construal. The authors propose the idea that self-construal is a significant mediator through which religion and modernity influence attitude toward luxury consumption.

The data for this study are sourced from a survey of 190 Qatari respondents. The conceptual model is estimated using both the covariance-based and the partial least squares structural equation modeling techniques for the purpose of robustness check.

The results indicate that religion has a positive and significant association with both independent and interdependent self-construal. The impact of modernity on independent self-construal is positive and significant, while its effect on interdependent self-construal is not significant, implying that modernity has no impact on individuals’ interdependence in the Gulf communities. Moreover, the results reveal that self-construal significantly mediates the effect of both religiosity and modernity on luxury consumption attitude, as expected.

The originality of this article lies in investigating the impact of religion and modernity on attitude toward luxury consumption through the self-construal paradigm. To the best of the authors' knowledge, this is the first study examining the simultaneous impact of religion and modernity in a Muslim community, from a self-construal perspective. Second, unlike the prior studies, this paper addresses the issue of non-normality in the data using the maximum likelihood robust estimator.

Self-regulation is defined as strategic, metacognitive behavior, motivation and cognition aimed at a goal (Zimmmerman and Schunk, 2011). Co-regulation, arguably more aligned with norms in communal cultures, is the process of learners sharing “a common problem-solving plane” through which self-regulatory strategies are learned (Hadwin and Oshaige, 2011, p.247). This paper aims to investigate the impact of co-regulation on self-regulation and math achievement for culturally diverse students.

This empirical study used structural equation modeling framework to estimate the effects of co-regulation on self-regulation and math achievement, as measured by the statewide-standardized test. Surveys measuring students’ use of co-regulatory and self-regulatory strategies and standardized math test scores were collected from 625 seventh- and eighth-grade students in a suburban district outside a southeastern urban center in the 2011-2012 academic year.

Results indicated that co-regulation is positively and significantly related to self-regulation strategy use among students in the sample. Self-regulation and co-regulation were positively related to math achievement. Data suggest the modeled relationship of co-regulation, self-regulation and achievement may vary by ethnic group.

A large body of literature documents the impact of self-regulation on student achievement, although there is less focus on students of color. This work expands that body of literature by examining co-regulation as a predictor of self-regulation and its mediated effects on student achievement for students of color.

This paper aims to construct a spatio-temporal emotional framework (STEF) for digital humanities from a quantitative perspective, applying knowledge extraction and mining technology to promote innovation of humanities research paradigm and method.

The proposed STEF uses methods of information extraction, sentiment analysis and geographic information system to achieve knowledge extraction and mining. STEF integrates time, space and emotional elements to visualize the spatial and temporal evolution of emotions, which thus enriches the analytical paradigm in digital humanities.

The case study shows that STEF can effectively extract knowledge from unstructured texts in the field of Chinese Qing Dynasty novels. First, STEF introduces the knowledge extraction tools – MARKUS and DocuSky – to profile character entities and perform plots extraction. Second, STEF extracts the characters' emotional evolutionary trajectory from the temporal and spatial perspective. Finally, the study draws a spatio-temporal emotional path figure of the leading characters and integrates the corresponding plots to analyze the causes of emotion fluctuations.

The STEF is constructed based on the “spatio-temporal narrative theory” and “emotional narrative theory”. It is the first framework to integrate elements of time, space and emotion to analyze the emotional evolution trajectories of characters in novels. The execuability and operability of the framework is also verified with a case novel to suggest a new path for quantitative analysis of other novels.

Efficient numerical assessment of performance is particularly important in digital material design of porous materials. This study aims to present an up-scaled approach to virtually investigate permeation of fluids through a real porous filter membrane with a heterogeneous micro-structure.

The method of asymptotic homogenization is applied. The structural parameters of the micro-structure are directly obtained from structural equation modeling image analysis of a commercial filter membrane without fitting procedures. The simulation results are compared to permeation experiments of gaseous nitrogen and liquid water.

The authors found that variations in the pressure gradients across the membrane, resulting from the heterogeneity of pore structure, need to be considered. Remarkable agreement between simulations and experiments is observed.

Despite some research in the field of filtration, no studies on filter membranes have been published yet, although they represent a large segment of filtration technology.

In consumer marketing literature, the ethical/moral components of consumer behavior have been recognized as important factors in individuals’ involvement in software piracy. However, there remains unanswered the question of which specific components are being referred to and how they explain consumer software piracy in the virtual knowledge-sharing community. This question is particularly unaddressed for those consumers who take the risks associated with piracy believing their acts to be taking from the haves (software producers) and giving to the have-nots. The paper aims to discuss this issue.

In this research, the authors propose a synergistic model that adopts the perspective of heroism and social exchange, and test it with the data collected from a virtual community. To test the proposed research model, the authors investigated 489 subjects and examined the hypotheses by applying the partial least squares method.

The findings show that the heroism construct has significant influence on sharing behavior in relation to cost factors, but not to benefit factors. Heroism stands out as the major construct in explaining sharing behavior. Thus, the research shows that the consumer software piracy present in the virtual knowledge-sharing community is a social behavior of exchange.

Methodologically, the study proposes a new model for researchers and practitioners to understand consumer software piracy in the virtual community. Managerially, software producers should take it into consideration when formulating their product-pricing strategy, to ensure that software producers and the young can both win in the “buy or steal” war.

Process mining (PM) has emerged as a leading technology for gaining data-based insights into organizations’ business processes. As processes increasingly cross-organizational boundaries, firms need to conduct PM jointly with multiple organizations to optimize their operations. However, current knowledge on cross-organizational process mining (coPM) is widely dispersed. Therefore, we synthesize current knowledge on coPM, identify challenges and enablers of coPM, and build a socio-technical framework and agenda for future research.

We conducted a literature review of 66 articles and summarized the findings according to the framework for Information Technology (IT)-enabled inter-organizational coordination (IOC) and the refined PM framework. The former states that within inter-organizational relationships, uncertainty sources determine information processing needs and coordination mechanisms determine information processing capabilities, while the fit between needs and capabilities determines the relationships’ performance. The latter distinguishes three categories of PM activities: cartography, auditing and navigation.

Past literature focused on coPM techniques, for example, algorithms for ensuring privacy and PM for cartography. Future research should focus on socio-technical aspects and follow four steps: First, determine uncertainty sources within coPM. Second, design, develop and evaluate coordination mechanisms. Third, investigate how the mechanisms assist with handling uncertainty. Fourth, analyze the impact on coPM performance. In addition, we present 18 challenges (e.g. integrating distributed data) and 9 enablers (e.g. aligning different strategies) for coPM application.

This is the first article to systematically investigate the status quo of coPM research and lay out a socio-technical research agenda building upon the well-established framework for IT-enabled IOC.