Exploring customer’s mobile banking experiences and expectations among generations X,Y and Z

Customer’s adoption of mobile banking portrays tremendous growth in developing countries. However, it seems that there is a lack of studies about customer’s experiences and expectations on mobile banking services, and more research is needed considering generational differences between mobile banking customers in Iran. The purpose of this study is to explore the customer’s mobile banking experiences and expectations among generations X, Y, and Z in a developing country context, Iran. Twenty-seven in-depth interviews were conducted from active users of mobile banking services with a generational split in Iran. A qualitative content analysis was employed to understand customer’s mobile banking experiences and expectations. This study identified specific features of different generations regarding their experiences and expectations of mobile banking services. Each generation displayed distinct characteristics of mobile banking. Generation X customers perceive mobile banking as complicated; generation Y customers prefer to use mobile banking for quick payments, while generation Z customers want to have more customized services and ranked mobile banking as a spontaneous solution. Every generation expects different features to focus on: generation X expects to have more user-friendly functions; generation Y prefers to have an online transaction tracker while generation Z appeals to have enhanced the user interface. This study offers a detailed strategic starting point for management to tailor dynamic customer expectations among different generations.     

On the real effects of inflation in open economies: theory and empirics

Based on the quarterly data from four open economies (the US, the UK, Canada, and Italy) and estimated correlations and impulse responses within the traditional vector autoregressive (VAR) analysis, we find that inflation, both in the short and long term, negatively affects consumption and investment, and has a positive influence on the current account. We propose an infinite-horizon optimizing model of an open economy with a fixed rate of time preference that explains these empirics. In this type of economy, households consume both durable and non-durable goods, firms operate under costly investment, and all the transactions involving consumption and investment are subject to cash-in-advance (CIA) constraints. Employing the new ‘sign restriction’ identification procedure due to Uhlig (J Mone’t Econ 52(2)381–419, 2005), we corroborate the empirical validity of the proposed model. In order to verify the robustness of our results, we consider another shock, namely, productivity shock in our empirical analysis and find that while productivity shock dominates in the case of the US, inflationary shock has a dominating effect in the case of the UK, Canada, and Italy.     

Asymmetric effect of exchange rate volatility on India's cross‐border trade: Evidence from global financial crisis and multiple threshold nonlinear autoregressive distributed lag model

This paper examines the asymmetric effect of exchange rate volatility on India's cross‐border trade with its major trading partners: Japan, Germany, the United States, and China. We extend previous studies in two ways. First, we examine whether global financial crisis changes the asymmetric effect of exchange rate volatility on India's cross‐border trade. Next, we divide exchange rate volatility into quintiles and examine the effect of each quintile on cross‐border trade by using the multiple threshold nonlinear autoregressive distributed lag (MTNARDL) model. Our findings from standard nonlinear ARDL (NARDL) indicate that the asymmetric relationship between exchange rate volatility and cross‐border trade changes as a result of global financial crisis. In addition, findings from MTNARDL indicate that in short‐run, exchange rate volatility symmetrically affects India's cross‐border trade with all sample countries whereas in long‐run it asymmetrically affects cross‐border trade. Overall, these findings are very important for policy implications and open a new dimension to exchange rate volatility and trade flows.     

The nexus between sectoral FDI and institutional quality: empirical evidence from Pakistan

This study investigates short- and long-run bidirectional causality between institutional quality and sectoral-level FDI in Pakistan by using the ARDL technique. The results confirm that long-run bidirectional causality exists between institutional quality and aggregate FDI. The in-depth sectoral-level FDI analysis substantiates the presence of long-run bidirectional causality between institutional quality and FDI in services and manufacturing sectors, while no long-run causality is observed between institutional quality and FDI inflows in primary sector. Furthermore, the results in the study reveal short-run bidirectional causality only between institutional quality and manufacturing FDI and report insignificant short-run causal link between institutional quality and FDI in primary and services sectors. The overall findings of the study suggest that in the long-run institutional quality attract FDI and FDI inflows, particularly to manufacturing and services sectors, significantly enhance the quality of institutions in Pakistan.     

Hospitality crisis management practices: The case of Indian luxury hotels

This study examines hospitality crisis management practices within the context of the Indian hospitality industry. The study is a replication of a study previously conducted in Israel. The study employs a questionnaire that evaluates the importance and usage of four themes of practices: marketing, hotel maintenance, human resources and governmental assistance. The findings illustrate which practices managers consider important and which practices managers actually use during a crisis. The paper concludes with recommendations for future research and management of crises.     

Stability of the money demand function in Asian developing countries

Previous studies that estimated the money demand function in Asian developing countries either employed traditional estimation techniques or recently popularized cointegration technique. While the first group suffers from ‘spurious regression’ problems, the second group interpreted their finding of cointegration as a sign of stability of estimated parameters. This study, after incorporating the CUSUM and CUSUMSQ tests into cointegration analysis, shows that in some Asian countries even though real M1 or M2 monetary aggregates are cointegrated with their determinants, the estimated parameters are unstable.     

Re‐Visiting Financial Development and Economic Growth Nexus: The Role of Capitalization in Bangladesh

This paper revisits the relationship between financial development and economic growth in Bangladesh by incorporating trade openness in production function using quarter frequency data over the period of 1976‐2012. We applied combined Bayer–Hanck cointegration approach to examine cointegration among the series. Our empirical evidence suggests that development of financial sector facilitates economic growth but capitalization impedes it. In addition, trade openness stimulates economic growth. Labour is also positively linked to economic growth. The vector error correction model Granger causality results divulge that financial development causes real per capita gross domestic product (GDP) growth, and resultantly, real per capita GDP growth causes financial development in a Granger sense. The results also show that trade and labour Granger cause economic growth. The findings of the paper provide insights for policymakers to use financial development and trade openness as a tool for sustained economic growth in the long run. The paper also suggests policymakers to utilise capitalization in a way that is beneficial for economic growth of Bangladesh.     

Tax Policy and Entrepreneurship: New Time Series Evidence

Have tax policies affected entrepreneurial activity in the U.S.? We extend the time series literature on this topic by using more recent data and modern econometric techniques to examine the importance of federal income, payroll, capital gains, corporate income, and estate taxes on self-employment rates. Regression results show that most of these taxes have significant but small effects on self-employment activity. A battery of cointegration and causality tests confirms the general finding that taxes can have significant influences on entrepreneurship, but they are likely to be ineffective tools for generating meaningful changes in entrepreneurial activity.