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Community banks were affected distinctly by changes in banking regulation in the 1990s when compared with large commercial banks. These banks offer non-traditional finance items, presumably to compete with these financial institutions. This study aims to examine the importance of accounting for off-balance sheet (OBS) items when estimating the financial performance of community banks.

This study applies a two-stage analysis pathway that initially calculates X-efficiency scores as part of the overall cost structure and then deploys data envelopment analysis bootstrapping method for a second-stage ordinary least square model.

Study findings indicate that failure to include OBS items in the X-efficiency calculation for community banks understates the efficiency performance of these banks. Furthermore, results indicate that factors internal and external to the community bank affect X-efficiency. Increases in OBS items are associated with growth in assets and growth in net non-interest income. Therefore, OBS items become an attractive alternative source of income and a mechanism for expanding output with the same volume of inputs. In addition, OBS items allow the largest community banks to deleverage their balance sheet, whereas the smallest community banks still emphasize on traditional lending products and benefit from existing equity. Also, larger banks may be using OBS items as a mechanism to isolate their performance from macroeconomic fluctuations.

Research limitations include a reduced number of community banks as consolidation accelerates partly because of compliance concerns.

The approach used supports a series of community bank managerial approaches that may be adopted by management.

The results of this study show several reasons why community banks may have managerial incentives to include OBS items. As observed by Gilbert et al. (2013), community banks are adjusting their product line so as to operate efficiently. Community banks must provide a product line which provides margin and meets customer needs at a profit to the firm. OBS items allow existing staff to provide funds without additional equity requirements from the balance sheets. The increase in OBS activities may signal the perception that the associated interest income is less risky and less costly than other alternatives, including adopting technologies to diversify traditional loan product offerings. As community banks tend to have lower default rates than their larger counterparts, the most likely explanation is that the OBS interest risk is more attractive than compliance or development of mechanisms to offer a broader suite of traditional loan products.

The purpose of this paper is to assess product and service arrays of community banks within competitive markets that are impacted by varying sized financial institutions. A cost efficiency model is used to understand the relationship of product offerings and business cycle response upon bank performance.

A cost efficiency model is used to understand the relationship of product offerings and business cycle response upon bank performance. Markets comprised of alternate size and type of financial institutions are compared.

Greater values of X_EFF _i when institutions compete are observed in this analysis. Cost efficiency is lowest when community banks are the only institution in the market, and second lowest when credit unions are the only competing institutions. Call report data are analyzed from 1994 to 2013. The number of big banks increases community bank efficiency and efficiency of large banks. Also, the number of community banks does affect big bank cost efficiency. The magnitude of the effect pertaining to the number of community banks upon big bank efficiency is much smaller than that of the number of big banks on community bank efficiency.

This study considers cost efficiency and profitability as measures of institution on the performance of a competing institutional type. The modeling approach uses cost efficiency as a method of observing the performance of financial institutions and an explanation of how firms persist, grow, and respond to changes in technology or regulation. The effects of the presence of each type of financial institution on the performance of another type are compared. Situations in which any number of one or more institutional types is present in a market are considered for analysis purposes.

The purpose of this paper is to examine the impact of online banking intensity on the financial performance of community banks.

This study estimates online banking intensity and bank performance indices using a combination of primary and secondary data. Online banking intensity is specified as a latent construct and estimated using web feature data collected from bank websites. An empirical profit function of a nonstandard Fourier flexible form is estimated using bank's financial data to derive a theoretically consistent performance measure. The actual impact of online banking on performance is measured by regressing the profit efficiency index against a number of correlates including online banking intensity measure.

Study results indicate that the increasing use of internet as an additional channel of marketing banking services has significantly improved the financial performance of community banks.

These results show that online banking improves the financial performance and should encourage community banks to adopt new information technologies and offer targeted online services.

This paper is the first of its kind that applies a structural equation modeling framework to develop a comprehensive online banking intensity measure, which accounts for a wide array of products and services offered online by a bank, and utilizes the estimated index in measuring the impact of internet banking intensity on bank performance.

Officially, of course, the world is now post-imperial. The Q’ing and Ottoman empires fell on the eve of World War I, and the last Leviathans of Europe's imperial past, the Austro-Hungarian and Tsarist empires, lumbered into the grave soon after. Tocsins of liberation were sounded on all sides, in the name of democracy (Wilson) and socialism (Lenin). Later attempts to remake and proclaim empires – above all, Hitler's annunciation of a “Third Reich” – now seem surreal, aberrant, and dystopian. The Soviet Union, the heir to the Tsarist empire, found it prudent to call itself a “federation of socialist republics.” Mao's China followed suit. Now, only a truly perverse, contrarian regime would fail to deploy the rhetoric of democracy.

The purpose of this paper is to propose a novel method to enhance the spread of messages in social networks by “Spreading Groups.” These sub-structures of highly connected accounts intentionally echo messages between the members of the subgroup at the early stages of a spread. This echoing further boosts the spread to regions substantially larger than the initial region. These spreading accounts can be actual humans or social bots.

The paper reveals an interesting anomaly in information cascades in Twitter and proposes the spreading group model that explains this anomaly. The model was tested using an agent-based simulation, real Twitter data and questionnaires.

The messages of few anonymous Twitter accounts spread on average more than well-known global financial media groups, such as The Wall Street Journal or Bloomberg. The spreading groups (also sometimes called BotNets) model provides an effective mechanism that can explain these findings.

Spreading groups are only one possible mechanism that can explain the effectiveness of spread of tweets from lesser known accounts. The implication of this work is in showing how spreading groups can be used as a mechanism to spread messages in social networks. The construction of spreading groups is rather technical and does not require using opinion leaders. Similar to the case of “Fake News,” we expect the topic of spreading groups and their aim to manipulate information to receive growing attention in public discussion.

While harnessing opinion leaders to spread messages is costly, constructing spreading groups is more technical and replicable. Spreading groups are an efficient method to amplify the spread of message in social networks.

With the blossoming of fake news, one might tend to assess the reliability of news by the number of users involved in its spread. This heuristic might be easily fooled by spreading groups. Furthermore, spreading groups consisting of a blend of human and computerized bots might be hard to detect. They can be used to manipulate financial markets or political campaigns.

The paper demonstrates an anomaly in Twitter that was not studied before. It proposes a novel approach to spreading messages in social networks. The methods presented in the paper are valuable for anyone interested in spreading messages or an agenda such as political actors or other agenda enthusiasts. While social bots have been widely studied, their synchronization to increase the spread is novel.

The United States has experienced a dramatic increase in the Hispanic population. This study is designed to discover the extent to which Hispanics have acculturated into American socieity. The results indicate that there is a significant difference between Euro‐Americans and Hispanic Americans in terms of ethnic identity. It seems that Hispanics have not fully acculturated into American culture. Implications for management are suggested regarding relevant organizational issues that are unique to Hispanics in the workforce.

This chapter describes a two-year comparative study in two investment banking departments that investigated the relationship between identification, shared cognition, and group performance. The data replicates previous research that found a positive relationship between group members’ subjective experience of unity with their group, shared cognition, and group performance. However, in contrast to previous research, we found that identification did not facilitate but undermined such a subjective experience of unity. Identification, therefore, impeded shared cognition and group performance, as compared to an alternative way in which bankers experienced unity that we refer to as direct involvement.

Previous cross‐cultural leadership research has provided limited information about Latin American leadership. In an effort to address this gap in the literature, this paper is designed to aid in understanding the similarities in Latin American leadership. The author proposes that the core of Latin American cultures is a common culture, which has a consistent effect on leader behaviors. Based on this common culture, it is proposed that leaders in most Latin American countries can be characterized as traditional leaders (El Patrón). In some countries, leadership is evolving toward a modern conceptualization of leadership, El Líder Moderno. Preliminary data supported the dominance of El Patrón and a movement in Mexico toward El Líder Moderno.

This study aims to develop a framework that enables the identification of sustainability factors from industry-specific environmental issues, and it proposes that these factors, in turn, can influence the corporate environmental performance (CEP) of firms in such an industry. It also validates the factor identification aspect of the framework.

The paper starts by reviewing relevant literature extensively and then developing an issue-based environmental sustainability framework to highlight the structural relationship of industry-specific sustainability factors with CEP. By involving 131 participants from academics in Niger Delta, the paper uses exploratory factor analysis techniques to reduce industry-specific sustainability factors from several environmental and socio-economic issues in the Nigerian oil and gas (O&G) industry.

Environmental risk originates from business environmental issues, and it triggers community reaction, which impacts negatively on corporate image. The nature of firm’s strategic responsiveness to these factors determines CEP.

The study draws from the perspectives of academics on environmental issues in Niger Delta to validate the factor identification aspect of the framework. The views of other stakeholders are not included, and hence, it should be applied with caution.

Useful in identifying and managing industry-specific environmental issues, and thus, achieving some sustainable development objectives.

Although most previous studies have focused on generic CEP drivers, this study proposes sustainability factors that can originate from industry-specific environmental issues as crucial drivers of CEP in such an industry. It provides empirical evidence of such credible sustainability factors emerging from the Nigerian O&G industry’s environmental issues.

Although the right to education is consecrated by international agreements, UNHCR reports that only 1% of refugees attend university. Grass root campaigns have arisen as one way of helping refugee and displaced students to access universities. The Oxford Students Refugee Campaign (OxSRC), launched in October 2015, aimed to establish a student-financed scholarship fund within the University of Oxford. As a result of the first year of campaigning, more than 12,000 students have pledged to contribute to the fund at a ratio of one pound per month. This has enabled the creation of the Oxford Student Scholarships, for students whose education has been disrupted due to the humanitarian or political situation in their country of residence. This chapter aims to build on the experience of the OxSRC to draw valuable lessons for universities and campaign leaders in other places. First, a set of financial barriers hindering access to the application process itself are reviewed. Second, the various documentary barriers impacting students’ completion and submission of applications are analyzed. Finally, this chapter examines psycho-social barriers that impinge on refugee students’ preparations for their chosen programme of study.