Minimum-wage increases and employment in franchised fast-food restaurants

Card and Krueger’s (1994) result that employment is unaffected by an increase in the minimum wage in the franchised fast-food restaurant industry appears to be inconsistent with conventional economic analysis. I take a closer look at the franchised fast-food industry and argue that the presence of brand-name capital does not allow franchisees to substitute away from labor or decrease the level of services provided to customers — employment levels in franchised fast-food restaurants are closely tied to sales.     

Assessing population differentiation and isolation from single-nucleotide polymorphism data

Summary. We introduce a new, hierarchical, model for single-nucleotide polymorphism allele frequencies in a structured population, which is naturally fitted via Markov chain Monte Carlo methods. There is one parameter for each population, closely analogous to a population-specific version of Wright's F _ST , which can be interpreted as measuring how isolated the relevant population has been. Our model includes the effects of single-nucleotide polymorphism ascertainment and is motivated by population genetics considerations, explicitly in the transient setting after divergence of populations, rather than as the equilibrium of a stochastic model, as is traditionally the case. For the sizes of data set that we consider the method provides good parameter estimates and considerably outperforms estimation methods analogous to those currently used in practice. We apply the method to one new and one existing human data set, each with rather different characteristics—the first consisting of three rather close European populations; the second of four populations taken from across the globe. A novelty of our framework is that the fit of the underlying model can be assessed easily, and these results are encouraging for both data sets analysed. Our analysis suggests that Iceland is more differentiated than the other two European populations (France and Utah), a finding which is consistent with the historical record, but not obvious from comparisons of simple summary statistics.     

Challenges for Creating Community Career Partnerships: Perspectives From Practitioners

Community career partnerships can draw into working alignment the critical aspects of career development for students (K‐16) and the key social contexts that either promote or inhibit growth. The authors, using a qualitative research methodology, describe challenges faced by practitioners when attempting to create and implement a community career partnership. Implications for practice, theory, and public policies are discussed.     

Administrative Justice and Charging for Long-term Care

Correspondence to Greta Bradley, School of Nursing, Social Work and Applied Health Studies, University of Hull, Cottingham Road, Hull HU6 7RX, UK. E-mail: M.E.Bradley{at}hull.ac.uk Summary Drawing on the findings of a study in the area of charging forlong-term care for older people, this article makes links betweenperceptions and practices of local authority professionals andthe concept of administrative justice. The research revealedthat discretion was exercised at all levels, although not allstaff were aware of this. Cases may be treated differently andaccidents of geography, local political culture or personnelare likely to affect the outcome of financial assessments ofadults. The implications of this work remain timely since meanstested assessment of personal care and residency costs lookset to continue in England and Wales.     

How are major gambling brands using Twitter?

ABSTRACT

This paper is the first to compare how major gambling brands are using the popular social media platform Twitter, looking at how gambling brands vary in the frequency of their messages, the content of their tweets and engagement with their Twitter activity. 63,913 tweets were collected from seven well-known British gambling brands (Bet365, Betfair, Betfred, Coral, Ladbrokes, Paddy Power, William Hill) and their associated Twitter accounts (Total Number of Accounts = 22) via the Twitter Application Program Interface (API) on the 1 August 2018. Companies varied in their approach to Twitter, some posting from a single account whereas others segmented their tweets by topic or purpose. Frequency analysis of tweets showed that on average major gambling brands tweeted anywhere between 89 and 202 tweets a day. Sentiment analysis of tweets showed a positivity bias with the language in tweets being associated with positive emotions like anticipation, trust and joy. Paddy Power, Bet365 and Coral produced the content that received the highest number of likes or shares from other twitter users. This study highlights the extent to which companies are using Twitter; followers could potentially be receiving hundreds of messages per day.     

The Baby Boomer Effect: Changing Patterns of Substance Abuse Among Adults Ages 55 and Older

Between now and 2030, the number of adults aged 65 and older in the United States will almost double, from around 37 million to more than 70 million, an increase from 12% of the U.S. population to almost 20%. It was long held that, with only a few isolated exceptions, substance abuse simply did not exist among this population. In light of the impact of the baby boom generation, this assumption may no longer be valid. The authors examined admissions of persons 55 years and older (n = 918,955) from the Treatment Episode Data Set (1998–2006). Total admissions with a primary drug problem with alcohol have remained relatively stable over this time. Admissions for problems with a primary drug other than alcohol have shown a steady and substantial increase. Clearly, data from the Treatment Episode Data Set indicate a coming wave of older addicts whose primary problem is not alcohol. The authors suspect that this wave is led primarily by the continuing emergence of the baby boomer generation.     

Failure Modes and Effects Analysis: An Evaluation of Group versus Individual Performance

Failure modes and effects analysis (FMEA) is one of the most frequently used tools in process and product design: it is used in quality and reliability planning, and event and failure mode analysis. It has a long history of use and is a formally prescribed procedure by a number of prominent standards organizations. In addition, it's popular use has evolved as a less formal and widely interpreted tool in the area of Lean/Six Sigma (LSS) process improvement. This paper investigates one of the most important issues related to FMEA practice—the quality of individual vs. group performance in ranking failure modes. In particular, we compare FMEA rankings generated by: (i) individuals, (ii) group consensus, and (iii) non‐collaborative aggregation of group input (a synthesized group ranking). We find that groups outperform individuals and that synthetic groups perform as well as group consensus. We explain the implications of this result on the coordination of the design of products and processes amongst distributed organizations. The increasing distribution of product design efforts, both in terms of geography and different organizations, presents an opportunity to improve coordination using distributed synthetic group‐based FMEA.     

A Common Situation Conducive to Bizarre Distribution Shapes

Conditions conducive to bizarre-shaped distributions are fairly common in certain areas of research where, for perfectly valid reasons, an important causal variable is left uncontrolled. Theoretical rationale and actual examples are given to show how such distributions are generated, to exemplify their shapes, and to indicate their prevalence in practice. An L-shaped type tends to occur when time scores are recorded for a task subject to infrequent but time-consuming errors; other types occur when measuring behavior influenced by social conformity, or under other circumstances. The L shape appears to be far more conducive to nonrobustness than are previously investigated shapes.     

IT Governance Characteristics,Electronic Medical Records Sophistication,and Financial Performance in U.S. Hospitals: An Empirical Investigation

As a result of a recent federal government mandate, an increasing number of hospitals have decided to adopt electronic medical record (EMR) systems. This initiative is expected to lead toward more efficient and higher quality health care; however, little is known about governance characteristics and organizational performance for EMR adopters. Our goal is to inform theory and practice by examining hospitals with a sophisticated EMR and comparing those hospitals to similar hospitals (with a less sophisticated EMR) to understand the association between information technology (IT) governance characteristics and the implications on financial performance. Leveraging elements of the upper echelon theory, we posit that hospitals in which the chief information officer (CIO) reports to the chief executive officer, CIO turnover is low, and an IT steering committee is present are more likely to have a sophisticated EMR. We argue that EMR sophistication leads to improved financial performance. Our results underscore the importance of continuity in the CIO position on successful EMR implementations. Results also show that hospital size and financial performance are strongly associated with EMR sophistication. In addition, we find that a sophisticated EMR appears to be a fundamental element in improving hospitals’ revenue cycle management. Moreover, we find that hospitals with a sophisticated EMR appear to be more profitable. Finally, we observe that total payroll expense adjusted by total discharges drops among the sophisticated hospitals, potentially due to an increase in employee productivity. These insights can serve as a basis for tempering expectations relative to the financial impact of EMR adoption.     

Unpacking Team Familiarity: The Effects of Geographic Location and Hierarchical Role

Examination of team productivity finds that team familiarity, i.e., individuals' prior shared work experience, can positively impact the efficiency and quality of team output. Despite the attention given to team familiarity and its contingencies, prior work has focused on whether team members have worked together, not on which team members have worked together, and under what conditions. In this paper, I parse overall team familiarity to consider effects of geographic location and the hierarchical roles of team members. Using data on all software‐development projects completed over 3 years at a large Indian firm in the global outsourced software services industry, I find that team familiarity gained when team members work together in the same location has a significantly more positive effect on team performance compared with team familiarity gained while members were collaborating in different locations. Additionally, I find that hierarchical team familiarity (a manager's experience with front‐line team members) and horizontal team familiarity (front‐line team members' experience gained with one another) have differential effects on project team performance. These findings provide insight into the relationship between team experience and team performance.