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.     

A case study: The impact of low-cost carriers on inbound tourism of Saudi Arabia

This study investigates the impact of low-cost carriers (LCCs) on Saudi Arabia's tourism demand. It also provides an understanding of the relationship between air transport development and tourism development in the Gulf region. The Box–Jenkins SARIMA-X models were employed to model and forecast international tourist arrivals to Saudi Arabia, using monthly international tourist arrivals to Saudi Arabia from July 2010 to December 2015. The forecasting models were significantly accurate, with lower values of MAPE, MAP, and RMSE. The findings suggest that an increase in airline capacity, religious travel, and airline competition are associated with the increasing international tourist arrivals to Saudi Arabia. This also indicates that there is a positive relationship between air transport development and tourism development. Further aviation liberalisation in the Gulf region is discussed to give opportunities for the region's LCCs to increase their share of the increasing air travel demand, thereby enhancing tourism development.     

How to improve the university–industry collaboration in Taiwan's animation industry? Academic vs. industrial perspectives

This study demonstrates the use of importance–performance analysis (IPA) to prioritise the motivators that can facilitate university–industry collaboration in the animation industry in Taiwan. This study confirms that financial supports and education are still major reasons for academia to participate in the university–industry collaboration. Reducing costs and obtaining human training are the reasons for animation firms to join the university–industry collaboration. However, by comparing the results of IPA for academia and industry, this study recommends four common interest motivators from both academic and industrial perspectives and where efforts should be concentrated. Research facilities, external competencies, talents, and innovation capacity are very important for the animation industry of Taiwan.     

Is it one break or ongoing permanent shocks that explains U.S. real GDP?

The relative importance of permanent versus cyclical shocks to GDP has been found to depend on the presence or absence of a single break in mean growth. We estimate unobserved components models conditional on a trend break having occurred in any specified quarter and use the Bayesian model averaging to combine the conditional estimates. We estimate a break occurred around 2006:1. Allowing for a break significantly reduces estimates of trend variance. However, enough spread remains in the posterior distribution to indicate that available data does not definitively settle the question of the relative importance of trend versus cycle.     

Network concentration and airport congestion in a post de-regulation context: A case study of Brazil 2000–2010

This paper empirically investigates the main drivers of airline network concentration in an air transport market subject to rapid growth. We consider the Brazilian air transport industry of the 2000s, in which network concentration rapidly increased and was followed by a period of massive flight delays and cancelations, which resulted in the “big blackout” of 2006–2007. We develop an econometric model of network concentration, accounting for demand, cost and competition variables that may affect the propensity of carriers to concentrate flights and passenger connections on a few airports of a network. The main focus of the paper is on the relation between networks leading to the problems of the blackout episode. We investigate the dynamic pattern of the evolution of concentration before and after the abnormal period of operations and find that concentration began to rise at least six quarters before, and persisted at a high level until two quarters after the blackout – and then plunged steeply toward the end of the decade. We believe that our analysis contributes to an improved understanding of the behavior of air transport systems subject to network concentration and congestion. With respect to methodology, we suggest and employ the use of alternative measures of network concentration to check the robustness and validity of our results.     

Intergenerational appeal in advertising: impacts of brand–gender extension and brand history

An intergenerational (IG) appeal in an advertising campaign usually presents a nostalgic image with family portraits, emphasizing the traditions that have been passed on from generation to generation or harkening back to the ‘good old days’ between father and son, or mother and daughter. The IG appeal can effectively enhance a brand's image and induce that all-important consumer purchase. This paper takes gender differences (father/son or mother/daughter) into consideration while examining two moderators related to branding: (in)congruent brand–gender extension and brand history. Results indicate that a well-established brand history enhances the effects of the IG appeal. In addition, a congruent brand–gender extension increases the effects of the IG appeal. More interestingly, IG appeals can be effective in presenting a less established brand which has an incongruent brand–gender extension.     

(De)Politicization Dynamics in Public–Private Partnerships (PPPs): Lessons from a comparison between UK and Flemish PPP policy

This article analyses the (de)politicization dynamics in complex and technical matters like public–private partnerships, which is necessary given its social impact and budgetary consequences for the years and generations to come. The global financial crisis provides an excellent window of opportunity to present this argument, because PPP policy needs to reinvent itself. We argue that PPP policy needs to be (re)politicized at the broader societal and discursive levels, which means that their public nature is recognized and that policy alternatives are debated in the public forums. The ‘Private Finance Initiative’ reassessment process in the UK may serve as an example.     

Assessing the competition in Angola’s banking industry

This article analyses the level of competition in Angola’s banking industry using the Panzar–Rosse model with data from 2005 to 2014. Competition is a vital aspect of the banking market and therefore it is central to policy-making. The results reveal that Angola banking competition is monopolist and therefore lower competition is found in Angola banks. Policy implication is derived.     

Forecasting economic activity from yield curve factors

This paper provides clear-cut evidence that the slope and curvature factors of the term structure of interest rates (yield curve) contain more information about future changes in economic activity than the term spread itself, often used in the literature as a predictive regressor of economic activity. These two factors reflect different information about future economic activity, which is smoothed out by the term spread. The paper shows that the slope factor has predictive power on future economic activity over longer horizons ahead, and thus may be interpreted as reflecting future business cycle conditions. On the other hand, the curvature factor, which enters the term spread with opposite sign than the slope factor, has predictive power on shorter movements of future economic activity which may be associated with changes in the current stance of monetary policy. These results hold for a number of world developed economies.     

Leading national brands facing store brands competition: Is price competitiveness the only thing that matters?

Store Brands (SBs) have experienced a strong increase in both value and unit sales internationally during the last decades; thus their market share has been constantly growing. Starting from these considerations, the present work aims at deepening the topic of inter-brand competition within the FMCG market and, in particular, the market share trade-off between Leading National Brands (LNBs) and Store Brands. Our empirical analysis is based on panel data about 322 product categories sold within the Modern Grocery Distribution stores in the 2010–2013 period. Results obtained show: (i) the existence of a relationship between the increase in the LNB-SB price gap and the switching of market share from the former towards the latter; (ii) the consolidation of a change in consumers' purchasing preference in favor of SBs; (iii) the existence of an inverse relationship between the inter-brand competition intensity and the retail branding life cycle evolutionary stage, which is different for each product category.