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This paper considers a class of parametric models with nonparametric autoregressive errors. A new test is established and studied to deal with the parametric specification of the nonparametric autoregressive errors with either stationarity or nonstationarity. Such a test procedure can initially avoid misspecification through the need to parametrically specify the form of the errors. In other words, we estimate the form of the errors and test for stationarity or nonstationarity simultaneously. We establish asymptotic distributions of the proposed test. Both the setting and the results differ from earlier work on testing for unit roots in parametric time series regression. We provide both simulated and real-data examples to show that the proposed nonparametric unit root test works in practice.

The issues of development of decisions are very important during formation of the system of management of modern business systems in the conditions of turbulence of external conditions. The ideas of rational structuring of information flows, which are used for decision making, are related to the necessity for development of communicative culture of companies. Quality of interaction between persons that participate in decision making should be assessed by analyzing the ratio of probabilities that characterize quality of information and correctness of decisions and development of a special model.

This paper ranks university faculties, accounting doctoral programs, individual behavioral accounting researchers, and the most influential articles based on Google Scholar citations to publications in Advances in Accounting Behavioral Research (AABR). All articles published in AABR in its first 15 volumes are included and four citation metrics are used. The paper identifies the articles, authors, faculties, and doctoral programs that made the greatest contribution to the development of AABR. Such an analysis provides a useful basis for understanding the direction the journal has taken and how it has contributed to the literature (Meyer & Rigsby, 2001). The h-index and m-index for AABR indicates it compares favorably among its peers. Potential doctoral students with an interest in behavioral accounting research, “new” accounting faculty with an interest in behavioral accounting research, current behavioral accounting research faculty, department chairs, deans, and other administrators will find these results informative.

This chapter includes a citation analysis of the first 16 volumes of Advances in Accounting Education: Teaching and Curriculum Innovations (henceforth, Advances in Accounting Education). Using this analysis, we identified the top 20 articles of the 195 articles published. This analysis provides an understanding of the relative contribution and impact of the papers published in Advances in Accounting Education, and the information provides past authors with a measure of how their contributions compare with the contributions of other authors. Also, this analysis may be valuable for potential contributors who are developing a research topic in that it will enable them to identify the types of articles that have traditionally had the greatest impact.

We also identify the top 30 authors of the 383 who have published in the journal. This analysis not only gives feedback to the authors listed, but also helps accounting education researchers identify authors whose work may be relevant to their interests.

We report the research categories (issues) and methodologies used for all articles published from 1998 to 2015 in Advances in Accounting Education. We also compare the research issues and research methodologies used in Advances in Accounting Education to those in the Journal of Accounting Education and Issues in Accounting Education for the period 2006–2015. Authors considering submitting a manuscript to one of these journals can use this information to determine which journal might be the best fit for their work.

Beginning with the premise that complementary resources represent the most valuable resource combinations, theory is developed to explain the impact of complementary resources on firm boundary decisions. Uncertainty surrounding resource combinations or control of a complementary resource influences firm boundaries by impacting access to needed resources. An implication is that acquisition decisions and performance are influenced by prior investment. Resulting insights have competitive advantage implications of interest to both management research and practice.

The study examines how two types of trust – institutional and system trust – predict online banking intentions (OBI) as a function of generational cohort membership.

The study uses a cross-sectional survey of 559 U.S. Amazon Mechanical Turk (MTurk) members using quota sampling from three generational groups: SGI (born before 1946), older boomer (born 1946–1954), and millennial (born 1977–1992).

Results showed generational cohort differences in system and institutional trust as well as OBI. Serial mediation model results showed the model where institutional trust precedes system trust best explains the relationship between generational cohort membership and OBI.

While diverse, the sample comprised of MTurk workers and relied on self-report measures of behavioral intentions, thus limiting the generalizability of our findings.

This study introduces two levels of e-trust into the technology acceptance literature and provides a guideline for financial institutions and system designers to understand the role of trust in driving online service adoption and use for different generations.

This study explores generational differences in technology use with special focus on older adults, which is yet to be fully explored in the literature. This study differentiates between two levels of e-trust and explores the order in which both trust types mediate the relationship between generational cohort membership and OBI.