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The discrete Fourier transform (dft) of a fractional process is studied. An exact representation of the dft is given in terms of the component data, leading to the frequency domain form of the model for a fractional process. This representation is particularly useful in analyzing the asymptotic behavior of the dft and periodogram in the nonstationary case when the memory parameter d≥12. Various asymptotic approximations are established including some new hypergeometric function representations that are of independent interest. It is shown that smoothed periodogram spectral estimates remain consistent for frequencies away from the origin in the nonstationary case provided the memory parameter d < 1. When d = 1, the spectral estimates are inconsistent and converge weakly to random variates. Applications of the theory to log periodogram regression and local Whittle estimation of the memory parameter are discussed and some modified versions of these procedures are suggested for nonstationary cases.

The reality of domestic violence does not disappear when people enter the digital world, as abusers may use technology to stalk, exploit, and control their victims. In this chapter, we discuss three unique types of technological abuse: (1) financial abuse via banking websites and apps; (2) abuse via smart home devices (i.e., “Internet of Things” abuse); and (3) stalking via geo-location or GPS. We also argue pregnancy and wellness apps provide an opportunity for meaningful intervention for pregnant victims of domestic violence.

While there is no way to ensure users' safety in all situations, we argue thoughtful considerations while designing and building digital products can result in meaningful contributions to victims' safety. This chapter concludes with PenzeyMoog's (2020) “Framework for Inclusive Safety,” which is a roadmap for building technology that increases the safety of domestic violence survivors. This framework includes three key points: (1) the importance of educating technologists about domestic violence; (2) the importance of identifying possible abuse situations and designing against them; and (3) identifying user interactions that might signal abuse and offering safe interventions.

It was aimed to propose and test a theoretical model to evaluate how some dimensions of environmental awareness influence the intention of consuming organic products using gender as a control variable.

The research was developed through quantitative methodology with the use of multivariate data analysis (PLS-SEM). The model uses a second-order construct. Although, it was conducted in a nonprobabilistic way using a convenience sample, with 213 university students.

It was confirmed the relation between the environmental awareness dimensions' influence and the intention to buy organic products that is also influenced according to the consumers' gender. There is a more positive effect and intensity in the organics' purchase by women.

The nonprobabilistic nature in addition to the use of the convenience sample, factors that do not allow the generalization of the results, are some limitations. Moreover, the dimensions of environmental awareness proposed do not include all of the motivators about the organic consumption.

The results identified the factors that motivate the intention to consume organic products in Brazilian context and can contribute to managerial strategies formulation in order to increase the value perceived by the customer in relation to the consumption of these products.

This paper presents a deeper understanding about the dynamics between the factors that can guide the choice for organic products, besides providing a greater theoretical and empirical support tested by the use of a second-order construct.

User trust in social networking sites (SNS) has become an important issue in SNS discussions. This is because of its impact on knowledge sharing, social commerce, social interaction, among many others. However, information systems researchers have primarily explored the benefits of trust with little attention to its antecedents. In an attempt to address this knowledge gap, this study proposed a model that investigated the factors that promote trust among SNS users. Data was gathered from voluntary respondents using a questionnaire. A PLS-SEM analysis of 912 valid responses suggested that Norm of Reciprocity, Social Interaction Ties and Identification are significant factors that encourage Trust among SNS users. Shared Language was also identified to have impact on Norm of Reciprocity, Social Interaction Ties and Identification. The results of the study provide significant theoretical and practical contributions. They bridge the knowledge gap regarding the formation of Trust on SNS. The model evaluated explains 49.6% of the variance in Trust and thus suitable for analyzing the antecedents of Trust on SNS. Furthermore, with the significance of Identification, Social Interaction Ties and Norm of Reciprocity on Trust, SNS developers are tasked to offer SNS features that proliferate the formation of these factors as well as shared interpretations.

More complexity, less freedom, distrust and a lack of information seem to pose threats to the success of partner relationships in accounting firms, as approximately 70% of business partnerships fail globally, undermining SDG 17. The low competitive intensity in this industry seems not to help the current situation. Yet, the existing strategic alliance (SA) literature have been somewhat sluggish in adequately addressing how partnership attributes (PAs) affect partnership success (PS) and how brand competition (BC) impacts this relationship. In response, this conceptual work addresses the impact of PAs on PS in accounting firms. It further explores the BC conditions under which the PAs–PS connection may be intensified.

Incorporating theories and empirics on six distinct topics, this study presents a conceptual model and ten hypotheses that are worth testing in future research.

This research finds that PAs will be favourably linked to PS, and this favourable association will be positively moderated by BC such that the PAs–PS connection will be more pronounced if BC within the accounting industry is high than low.

Further research is needed to empirically test the suppositions made. Also, they could extend the proposed framework to cover other moderators like technological turbulence, market dynamism and government regulation.

Practical lessons for governments, shareholders, chief executive officers, consultants and other industry players, particularly those who are interested in the success of accounting partnership firms, are deliberated.

This study demonstrates how PAs and BC interact to foster PS. It also provides a baseline information for upcoming researchers to investigate other external factors under which the PAs–PS connection may be improved.

This study examines the factors that influence the ecotourist behavior of university students. The understanding of what motivates these students can inform future suggestions for strategies and actions in ecotourism.

The study was applied to university students of the University of Medellín, Colombia. It was an exploratory empirical study that surveyed a total of 696 students.

The results show that students with a positive attitude toward ecology tend to be interested in nature-related activities, therefore generating an intention to engage in ecotourism. The authors found that those who view ecotourism as an activity that promotes fun and happiness tend to engage more frequently in these activities.

This study is of great interest for research in motivational theory, specifically the analysis of personality profiles and how these relate to specific tourism behaviors. The findings of this study strongly suggest that those interested in the management and development of ecotourism should establish practices and programs that consider factors such as tourist segmentation, effective communication of the positive qualities of ecotourism and environmental stewardship involved in these activities.