A Pyramid of Hate Perspective on Religious Bias,Discrimination and Violence

Journal of Business Ethics - This study provides a ‘pyramid of hate’ perspective on issues and challenges facing minority religious communities in social and political climates that...     

Public system usability analysis for the valuation of cognitive burden and interface standardization: A case study of cross-ATM design

Humans are unable to effectively handle machines that have poor interface and interaction patterns. The Automated Teller Machine (ATM) is one of the machines that is most frequently operated by a wide spectrum of people. Hence, it is common to apply Human–Computer Interaction (HCI) technology in the design of ATMs. User–ATM interaction, however, has barriers such as a user’s working memory limit, lower literacy level, or lack of awareness and access. Moreover, the diversity of interfaces hurt user motivation, perception, and experience significantly. For example, each bank has its own ATM design targeting its customers only and, thus, when clients of other banks come across such a machine, they suffer from cognitive burden and commit many errors. To this end, we conduct an analytical survey of ATMs used in Pakistan through user analysis and heuristics analysis. We figure out the influence of design diversity and user perception on ATM users’ cognitive stress with the cognitive walkthrough analysis on the survey. We also uncover a realism-usability gap by reviewing the sampled ATM screens from the viewpoint of HCI heuristics. Finally, we suggest the guidelines on the cross-ATM design, characterized by the standardized fast-cash menu and the fail-safe mechanism for novices. This study demonstrates that users are reluctant to switch out of their comfort zones, due to learning costs and a lack of motivation. Therefore, we should design public systems in a very standardized way, which becomes more crucial for a user’s cognitive relief as interface and design patterns are becoming more diverse in our daily lives.     

Proportional Odds Models with High‐Dimensional Data Structure

The proportional odds model is the most widely used model when the response has ordered categories. In the case of high‐dimensional predictor structure, the common maximum likelihood approach typically fails when all predictors are included. A boosting technique pomBoost is proposed to fit the model by implicitly selecting the influential predictors. The approach distinguishes between metric and categorical predictors. In the case of categorical predictors, where each predictor relates to a set of parameters, the objective is to select simultaneously all the associated parameters. In addition, the approach distinguishes between nominal and ordinal predictors. In the case of ordinal predictors, the proposed technique uses the ordering of the ordinal predictors by penalizing the difference between the parameters of adjacent categories. The technique has also a provision to consider some mandatory predictors (if any) that must be part of the final sparse model. The performance of the proposed boosting algorithm is evaluated in a simulation study and applications with respect to mean squared error and prediction error. Hit rates and false alarm rates are used to judge the performance of pomBoost for selection of the relevant predictors.     

A Temporal Model of Vertical Relationships

Purpose: The authors developed a model framework for buyer–supplier relationships and used it to extend theory in 4 areas: (a) maintenance of long-term relationships; (b) conversion of relationships from adversarial to cooperative; (c) changes in relationships over their lives; and (d) levels of commitment and trust between partners.

Methodology/approach: The authors analyzed existing research on buyer–seller relationships and theoretical concepts in various disciplines to develop a 3-stage temporal relationship model consisting of pre-deal (t–1), deal enactment (t), and deal continuation (t+1) stages. From the model and existing research, the authors drew propositions for relationships in the areas of buyer and seller power, several forms of commitment and trust, intellectual capital, and financial performance.

Findings: Briefly, the authors proposed that (a) at the pre-deal stage, increased buyer power may instigate supplier input commitment or vice versa; (b) at deal enactment, both parties may commit to a written contract and build contractual trust through a low degree of relational commitment; and (c) in the deal continuation stage, contractual trust, and attitudinal commitment of one of the parties is likely to foster attitudinal commitment in the other party. The authors found that buyer's and supplier's total commitment fosters goodwill trust and helps build intellectual capital and financial performance, and that the weaker party in the relationship likely gains more from the partnership than the stronger party.

Research implications: In addition to existing research, the authors used several actual situations to provide support for our propositions. However, more research should be done in all areas to additionally confirm our propositions and otherwise add to theory development.

Practical implications: By looking at buyer–seller relationships in three stages, the authors developed several implications for both parties. These included long-term results of short-term actions, importance of industry factors on buyer and seller commitment, and the role of commitment in determining whether long-term relationships are developed.

Originality/value/contribution: The authors extended and coordinated existing theory by consolidating the implications of previous research into a cohesive buyer–supplier relationship model. This model should enable both researchers and managers to better comprehend the dynamics of vertical relationships with a multi-dimensional, reciprocal approach. The results should also provide managers an additional tool to gauge and forecast the fate of a relationship by analyzing levels of trust and commitment as the relationship progresses.     

Evaluating the urban consumer with regard to sourcing local food: a Heart of England study

This paper critically explores consumer perceptions and trends regarding purchasing locally produced food. Until recently, much of the research in this area largely focused on regional consumers where rural consumers had reasonable access to locally produced food and were usually in close proximity to the producers within, or close to, their immediate community. Here, the objectives of the primary research focused instead on urban attitudes and perceptions of local food within the Greater Birmingham conurbation in the West Midlands region of the UK. Birmingham is by far the most highly populated urban area of the region, and with ample opportunities to promote local food. Consumers, based mainly in Birmingham and Wolverhampton, were questioned on their locally produced food‐buying habits and attitudes in order to determine any differences in urban perceptions and buying attitudes compared with rural counterparts, and also to identify any new and potential opportunities for local food producers. Originally, 1000 questionnaires were obtained from across Greater Birmingham and Wolverhampton. However, for the purposes of this paper, it was decided to focus on two urban city centres – Birmingham and Wolverhampton, with 148 questionnaires. The results indicate that urban consumers are generally confused about what the term ‘local’ food means. The reasons for purchasing local food, while generally consistent with national patterns, differed in that supporting the local producers was not regarded as important. Barriers to purchase were largely unsurprising for an urban area, as the top choices were ‘too expensive’ followed by ‘not readily available’ and ‘no time to find it’. Understanding, information, availability and access to local food emerge as the biggest challenges to urban consumers in buying local food.     

An Empirical Study of Buyer–Supplier Relationships within Small Business Organizations

A paradox exists in small business organizations; although effective buyer–supplier relationships are essential to the success of small businesses, these organizations may not have the purchasing and selling power in terms of managerial resources to implement them. This provides us an opportunity for research to determine how well developed are buyer–supplier relationships within small business organizations. Grounded in transaction cost and resource dependence theory, this paper presents and empirically tests a model that examines the relationships between buyer and supplier specificity and long‐term buyer–supplier relationships and the latter's impact on organizational performance from the buyers' perspective. The results of this study provide insight into the development and impact of buyer–supplier relationships within small business organizations. Several managerial implications can be determined.     

External resources and economic growth: New evidence from EAGLE countries using PMG framework

This study attempts to explore the relationship between economic growth and external resources in the case of emerging and growth-leading economies (EAGLE). Among these economies, a panel of eight countries was studied over the period of 1986–2014. Empirical analyses were performed using panel cointegration and pooled mean group framework. Our findings support positive long- and short-run relationships between imports and gross domestic product (GDP). The results also reveal a negative and significant long-run relationship between foreign direct investment and GDP, whereas no significant evidence has been noted for the short run. Moreover, remittances in EAGLE countries have failed to justify any contribution to GDP in both long and short runs.     

Price Leadership on the National Cheese Exchange

The motivation and trading behavior of the leading cheese companies on the National Cheese Exchange are examined. Although only 0.2 percent of all cheese is sold on the NCE, it is used to formula-price 90-95 percent of the bulk cheese in the U.S. Kraft General Foods, the largest buyer of cheese in the U.S., was the dominant seller on the NCE during 1988-1993, with the apparent purpose and effect of depressing national cheese prices. Kraft's behavior is consistent with that of a barometric price leader that enjoys a significant degree of discretion in shaping the pattern of prices over a price cycle. As presently organized, the NCE facilitates market manipulation.