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Community banks continue to offer important financial services including agricultural and small-business lending as well as residential mortgage origination. Because community banks’ share of available source funds may be threatened in rural markets due to competing larger banks seeking less expensive core deposits, this study examines whether large-bank competition, market share of deposits and changing market share impact the profitability of rural, small community banks.

Using a Heckman-type selection model to control for sample selection bias, ordinary least squares (OLS) regression analysis with time and bank fixed effects is conducted to study the drivers of profitability in small, community banks that operate exclusively in rural markets. Profit drivers for rural, small community banks of particular interest in the study are larger-bank competition, market share of deposits and year-to-year change in market share of deposits.

The research indicates that rural, small community bank profitability decreases in concurrent market share of deposits and may increase in changing market share but that the presence of a larger competitor decreases the profitability of small community banks in rural markets as larger banks compete for deposits in these markets. The paper also finds that increased Internet access in rural markets accompanies lower performance for small community banks, indicating that online banking services may threaten rural, small community banks.

This paper offers new findings to the literature on the performance effects of large competitors in rural banking markets. The results suggest implications for managers of rural, small community banks and offer additional knowledge about profit drivers of rural, small community banks of which regulators should be cognizant.

The purpose of this paper is to study short sales trading as part of the New York Stock Exchange (NYSE) batch open and National Association of Securities Dealers Automated Quotations (NASDAQ) opening cross. The paper examines whether short transactions at the open can predict future returns.

The study tests to see if short transactions in the NYSE opening batch trade and NASDAQ opening cross are informative of future returns.

It is found that a stock's opening‐trade short volume is predictive of its short volume for the rest of trading day, positively related to its previous‐day price change, and positively related to its overnight price change at the opening trade on option‐expiration Fridays when the stock is part of the Standard and Poor (S and P) 500 index.

While previous research shows that intraday short sale trades are informative, this is the first paper to examine the opening trade of the day, and whether these short sales are informative.

The purpose of this research study is to use a large sample of the US companies and investigate the impact of cash-to-cash cycle’s (C2C) length on company profitability and liquidity in present and future periods and also examine whether such impact is dependent upon firm size or industry type. The authors investigate the association between C2C length and return on equity (ROE), as well as liquidity ratios for current and future years using linear regression models. The authors further examine such association for separate industries and explore the effect of size on the primary associations investigated. Consistent with prior literature, this study documents that C2C length is negatively (positively) associated with current profitability (liquidity). The authors also find that there is a significant negative association between C2C length and future profitability extending up to three years, but only for firms in the manufacturing industry. This research study shows that C2C length affects a firm’s current financial performance and managers should view C2C management as an important strategic tool. However, the authors caution that C2C management is not a “one size fits all” strategy and managers in smaller firms should pay close attention to their C2C cycle. The authors also show that firms in manufacturing industry will specifically benefit financially over long-term from C2C management. This article complements existing literature that examines the impact of working capital management on a firm’s financial performance and extends the literature by examining such relationship for different industries and firm sizes. Although the authors include various factors (e.g., firm size, leverage, growth, industry, year, and past performance) in regressions to control for observable differences among firms, there might be other unobservable differences that may have an effect on the results documented.

Addressing the challenge of continuously strengthening our own leadership begins with considering our self-efficacy, our belief in our capacity to carry out desired actions, and its influence on our agency, our actual capacity to carry out desired actions. Our agency grows when “nudged” along by our self-efficacy. However, this requires insight into what is happening around us, achieved by looking to the following two leadership horizons:

Presence, how much we notice and attend to what is happening, with empathy, for all stakeholders.

Vision and values, why we do what we do, how we see ourselves, and who we aspire to be.

Beyond what these two leadership horizons offer separately, together they influence the stories we shape in our “storied space,” the place we each occupy in which the events of the past and the possibilities of the future converge in our ever-unfolding present. We constantly draw together emerging insights to keep making new meaning and ideating possibilities best matched to addressing emerging challenges. As our understanding sharpens, we narrow our options to the best fitting one, shape it into a prototype, and test it in action. Throughout this, we constantly monitor the resonance of our self-efficacy and agency to keep the actions we intend undertaking realistically sitting at the threshold of what we can nearly accomplish.

Rather than mapping a fixed blueprint, this design approach offers rigor and agility, enabling our agency to grow organically, culminating in leadership fit for purpose, including a sound capacity to strengthen our own leadership, by design.

The purpose of this paper is to examine the use, construct, and pervasiveness of learning styles theory. Whilst extant literature has provided educational theorists with a temporal landscape for promoting or critiquing the surfeit of “models” and “diagnostic tools”, there has been little empirical research evidence undertaken on the adoption and adaptation of learning styles in the e-Learning environment, especially in respect of personalised learning environments (PLEs). In this respect, evidence identifies that the more thoroughly instructors understand the differences in learning styles, the better chance they have of meeting the diverse learning needs of their learners.

The paper provides a critical review of the development of learning styles inventories and instruments of learning styles. It focuses specifically on the reliability, validity, and rubrics behind these models. A positivist stance was adopted, using a structured case study methodology with learners as the main unit of analysis. This was undertaken to statistically explore and confirm the validity and reliability of a Diagnostic Questionnaire (DQ).

A new Diagnostic Learning Styles Questionnaire was developed based upon the amalgamation of three existing models of learning styles (Kolb; Honey and Mumford; and Felder and Silverman). Research findings identified four principal learning styles categories (A, B, C, D). These are supported by Cronbach's α results ranging from 0.57 to 0.80 for the learning styles within the DQ, which provides new insight into these relationships.

This research suggests that improved construct validity can be achieved if relationships are fully understood. However, research findings need to be countered by extending the embedded case study presented in this paper to include other case studies for comparison (within this context). Further research is also needed on examining learner traits in more detail with a wider data set.

The DQ can be used to explore different approaches to use in learning environments. Specifically, it allows training providers to understand the nuances and dependencies associated with learner styles, behaviour, learner effectiveness, and motivation.

This paper uncovers new understanding on the learning process and how this links to pedagogy and learning styles. It presents a mechanism for embedding a DQ into a PLEs.