Social isolation and social anxiety as drivers of generation Z's willingness to share personal information on social media

Generation Z's (gen z) sharing of personal information on social media is a growing phenomenon with significant ramifications. Existing research, however, focuses on examining the role of social and/or psychological factors and fails to consider how and when social, psychological, and organizational factors affect gen z's willingness to share personal information on social media. To fill this gap, we propose a conceptual model based on the tenets of sociometer theory, to understand the dynamics of gen z's willingness to share personal information while considering its process and boundary conditions. Using a sequential multi-study design, we conducted an experiment followed by a survey to test our hypotheses using data collected from gen z in India. Our findings show that when gen z feels socially isolated/anxious, they are more likely to share personal information on social media. The effect of social isolation on sharing of personal information increases when gen z fear that they are missing out on the rewarding experiences others are having, are engaged in repetitive negative thoughts and perceive their firm's privacy policy as transparent and ethical. Our findings provide a better understanding of why, how, and when gen z's are willing to share personal information on social media. We extend existing limited research on the psychological aspects of digital natives' interaction with modern technologies. Our results equip social media marketing and brand managers with the knowledge they need to increase gen z's willingness to share personal information.     

The North American Industry Classification System and Its Implications for Accounting Research*

Industry classification is an important component of the methodological infrastructure of accounting research. Researchers have generally used the Standard Industrial Classification (SIC) system for assigning firms to industries. In 1999, the major statistical agencies of Canada, Mexico, and the United States began implementing the North American Industry Classification System (NAICS). The new scheme changes industry classification by introducing production as the basis for grouping firms, creating 358 new industries, extensively rearranging SIC categories, and establishing uniformity across all NAFTA nations. We examine the implications of the change for accounting research. We first assess NAICS's effectiveness in forming industry groups. Following Guenther and Rosman 1994, we use financial ratio variances to measure intra‐industry homogeneity and find that NAICS offers some improvement over the SIC system in defining manufacturing, transportation, and service industries. We also evaluate whether NAICS might have an impact on empirical research by reproducing part of Lang and Lundholm's 1996 study of information‐transfer and industry effects. Using SIC delineations, they focus on whether industry conditions or the level of competition is the main source of uncertainty resolved by earnings announcements. Across all levels of aggregation, we find inferences are similar using either SIC or NAICS. How‐ever, we also observe that the regression coefficients in Lang and Lundholm's model show smaller intra‐industry dispersion for NAICS, relative to SIC, definitions. Overall, the results suggest that NAICS definitions lead to more cohesive industries. Because of this, researchers may encounter some differences in using NAICS‐industry definitions, rather than SIC, but these will depend on research design and industry composition of the sample.     

A macro model of change in specialty and spatial distribution of physicians in Canada, 1971-1981.

Most studies on physician distribution have examined static relationships involving the influence of such factors as socio-economic status. This study employs a causal model to study change in physician ratios (general practitioners and family physicians, and specialists) between 1971 and 1981 as a function of change in hospital bed ratios, population size, age distribution, educational attainment of the population, population "native", owner-occupied dwellings, and geographic proximity to the nearest metropolitan area, using physician data for 189 Canadian census divisions. The results, derived from LISREL VI analyses, indicate that specialists experienced increases in their supply in higher socio-economic status areas and in those areas losing general practitioners and family physicians (from 1971 to 1981). General practitioners and family physicians appear to have moved into areas with a relatively low percentage of owner-occupied dwellings and areas where a large percentage of the population is "native". Both groups of physicians appear to have increased in areas where there were increases in hospital facilities over the decade. The study confirms the known association between the two physician groups; that is, general practitioners and family physicians increased in areas gaining specialists and specialists increased in areas where considerable decreases in general practitioners and family physicians were occurring. Findings are discussed in terms of implications for physician manpower planning.     

Determinants of Transactional Internet Banking

The decision of credit unions in the United States to adopt transactional web-based services is consistent with profit-maximization behavior. Credit unions adopt transactional internet banking services when they provide a higher proportion of consumer loans and when there is increased competition from other financial institutions. They adopt transactional internet banking to attract new customers. The larger the credit union the higher the probability of adoption of transactional internet banking. The probability of adoption of transactional banking is directly related to credit unions’ efficiency and indirectly related to loan delinquencies. We also find that the probability of credit unions offering transactional internet banking is positively related to the percentage of the young population in the counties where credit unions are located.     

The Predictive Ability of Direct Method Cash Flow Information

This research examines the predictive ability of direct method cash flow information for firms that use the direct method in their cash flow statements. We use cross sectional and pooled time series regressions to predict operating cash flow data and assess relative predictive ability. Principal findings are: (1) past period direct method cash flow data predict future operating cash flow better than indirect method cash flow data; (2) past period direct method gross operating cash flows predict future net operating cash flow better than past period net operating cash flow; (3) measurement error exists in estimates of direct method operating cash flows from other financial statement data; (4) past operating cash flows predict future operating cash flows better than earnings and accruals.     

Narratives in managers’ corporate finance decisions

This article uses the extended case method to explore senior executives’ corporate finance decisions. We quantified firm’s finance practices using a mail survey, and then – to resolve puzzles in managers’ decision processes – conducted face‐to‐face interviews with chief finance officers of large listed firms. The interviews identified six themes as consistent influences on finance decisions: pressures imposed by clienteles; constraints on resources; risk management; heuristics; real options; and sustainability. We conclude that managers are logical and rational in their decisions, but employ a wider range of criteria than assumed in conventional finance theories.     

Stock price impact of diversity in investor beliefs

I re-examine the association between diverse investor beliefs and stock prices within the context of an imperfect competition model. The relationship is ambiguous because of several different effects of a change in diversity in investor beliefs. This has implications for empirical design and explains why 40 years of evidence on this association is inconclusive.