Relationship Marketing and Repurchase Intention in Ghana’s Hospitality Industry: An Empirical Examination of Trust and Commitment

Globally, the hospitality industry ranks as one of the most competitive business sectors, with competing organizations relying on a cocktail of strategies such as relationship marketing to stay relevant, and attract and retain customers. This article examines how relationship marketing impacts trust, commitment, and repurchase intension of customers in the Ghanaian hospitality industry. The data collection questionnaire was administered to 167 randomly selected customers at a four-star hotel in the Accra metropolis. The data analysis used structural equation modeling to ascertain the significance of the relationship that exists between trust, commitment, and customer repurchase intension regarding the relationship marketing practices of hoteliers in Ghana. The findings show a positive and significant relationship between trust, commitment, and repurchase intension. The study also revealed that commitment partially mediates the association between trust and repurchase intension. This implies that both trust and commitment are necessary to attain repurchase and, eventually, loyalty.     

Global Navigation Satellite System based tolling: state-of-the-art

Road pricing or road user charging may be understood as an economic concept regarding direct charges applied for using roads. Different pricing paradigms may be distinguished mainly refering to pricing of congested, non-expandable urban networks as well as pricing of expandable, uncongested (principally, interurban) road infrastructure. Numerous technologies within Intelligent Transport Systems can provide support in efficiently applying various charging mechanisms. Recently, among others, tolling systems have been deployed that rely on the Global Navigation Satellite System (GNSS). The purpose of this paper is to discuss the state-of-the-art of using GNSS technology in road user charging.     

Patents and Early‐Stage Financing: Matching versus Signaling

This paper investigates the role of patents on early‐stage financing. We consider two questions: are patents signals of quality and why do patents relate to venture capital (VC) financing but not angel financing? Analyzing data from 468 Canadian early‐stage ventures, we show that patents are not signals of quality. Instead, the data support a match‐on‐financing need hypothesis: ventures match with VCs, who have financial capacity to support their patent protection strategies.     

The Role of Bank Funding Diversity: Evidence from Vietnam

This paper analyzes the impact of bank funding diversity on bank income and risk in emerging markets. We utilize a data sample which includes 37 Vietnamese banks for the period 2006–2015. We find that banks with diversified funding sources have advantages in improving profitability. However, we also find that banks with higher funding liquidity tend to participate in more risk‐taking activities. The findings contradict the notion that banks which have access to diversified funding sources are able to improve profitability without increasing their risk‐taking. The study has strong implication for banks managers and prudential authorities in emerging markets.     

Model-Based Decision Support in Manufacturing and Service Networks

In this paper, we sketch some of the challenges that should be addressed in future research efforts for model-based decision support in manufacturing and service networks. This includes integration issues, taking into account the autonomy of the decision-making entities in face of information asymmetry, the modeling of preferences of the decision makers, efficiently determining robust solutions, i.e. solutions that are insensitive with respect to changes in the problem data, and a reduction of the time needed for model building and usage. The problem solution cycle includes problem analysis, the design of appropriate algorithms and their performance assessment. We are interested in a prototypical integration of the proposed methods within application systems, which can be followed up with field tests of the extended application systems. We argue that the described research agenda requires the interdisciplinary collaboration of business and information systems engineering researchers with colleagues from management science, computer science, and operations research. In addition, we present some exemplifying, illustrative examples of relevant research results.     

Poverty Effects of the Philippines’ Tariff Reduction Program: Insights from a Computable General Equilibrium Analysis*

A computable general equilibrium micro‐simulation model is used to assess the economic and poverty impacts of tariff reduction in the Philippines. Tariff reduction induces consumers to substitute cheaper imported agricultural products for domestic goods, thereby resulting in a contraction in agricultural output. In contrast, tariff reduction reduces the domestic cost of production, benefiting the outward‐oriented and import‐dependent industrial sector. The national poverty headcount decreases marginally as lower consumer prices outweigh the nominal income reduction experienced by the majority of households. However, both the poverty gap and severity of poverty worsens, implying that the poorest of the poor become even poorer.     

Real-world healthcare resource utilization related to migraine treatment failure: a panel-based chart review in France,Germany, Italy,and Spain

Abstract

Aims: This retrospective chart review examined the six-month migraine-related healthcare resource use (HRU) among European patients who had ≥4 migraine days per month and previously failed at least two prophylactic migraine treatments.

Methods: Neurologists, headache specialists, and pain specialists in France, Germany, Italy, and Spain who treated ≥10 patients with migraine in 2017 were recruited (April–June 2018) to extract anonymized patient-level data. Eligible physicians randomly selected charts of up to five adult patients with clinically-confirmed migraine, ≥4 migraine days in the month prior to the index date, and had previously failed at least two prophylactic migraine treatments. Treatment failure was defined as discontinuation due to lack of efficacy and/or tolerability. Demographic and disease characteristics as of the index date, and migraine-related HRU incurred during the 6-month study period, were recorded.

Results: A total of 104 physicians contributed 168 charts for patients (63% female). On average, patients were 38?years old and failed 2.3 prophylactic treatments as of the index date. During the study period, 83% of patients had ≥1 outpatient visit for migraine in the physician’s office, and 27% went to the ER/A&E. Approximately 5% of patients were hospitalized for migraine, with an average of one hospitalization and an average length of stay of 3 days. Approximately 39% of patients had ≥1 blood test, 22% had ≥1 magnetic resonance imaging, 17% had ≥1 electroencephalogram, and 13% had ≥1 computerized tomography scan. Visits to other healthcare providers were common.

Limitations: This study is subject to the limitations of chart review studies, such as errors in data entry.

Conclusions: Across four European countries, the HRU burden of migraine among patients who previously failed at least two prophylactic treatments was high, indicating a need for more effective prophylactic treatments to appropriately manage migraine and reduce the HRU burden attributable to this common disorder.     

How much nominal rigidity is there in the US economy? Testing a new Keynesian DSGE model using indirect inference

We evaluate the Smets-Wouters New Keynesian model of the US postwar period, using indirect inference, the bootstrap and a VAR representation of the data. We find that the model is strongly rejected. While an alternative (New Classical) version of the model fares no better, adding limited nominal rigidity to it produces a ‘weighted’ model version closest to the data. But on data from 1984 onwards - the ‘great moderation’ - the best model version is one with a high degree of nominal rigidity, close to New Keynesian. Our results are robust to a variety of methodological and numerical issues.     

Monetary Policy Transmission in Vietnam: Evidence from a VAR Approach

A thorough understanding of the transmission mechanism is a key requirement for central banks for successful implementation of monetary policy. This paper investigates the existence of the interest rate channel, exchange rate channel and asset price channel in Vietnam by employing a vector autoregressive model analysis using monthly data ranging from 2003M1 to 2012M12. The results from the analysis present evidence for a cost channel. However, we find no evidence for the existence of an exchange rate channel or asset price channel of monetary transmission in Vietnam.