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The aim of this paper is to examine the impact of three main technologies on converting browsers into customers: impact of review rating (location rating and service rating), recommendation and search listings.

This paper estimates conversion rate model parameters using a quasi-likelihood method with the Bernoulli log-likelihood function and parametric regression model based on the beta distribution.

The results show that a high rank in search listings, a high number of recommendations and location rating have a significant and positive impact on conversion rates. However, service rating and star rating do not have a significant effect on conversion rate. Furthermore, room price and hotel size are negatively associated with conversion rate. It was also found that a high rank in search listings, a high number of recommendations and location rating increase online hotel bookings. Furthermore, it was found that a high number of recommendations increase the conversion rate of hotels with low ranks.

The findings show that hotels’ location ratings are more important than both star and service ratings for the conversion of visitors into customers. Thus, hotels that are located in convenient locations can charge higher prices. The results may also help entrepreneurs who are planning to open new hotels to forecast the conversion rates and demand for specific locations. It was found that a high number of recommendations help to increase the conversion rate of hotels with low ranks. This result suggests that a high numbers of recommendations mitigate the adverse effect of a low rank in search listings on the conversion rate.

This paper contributes to the understanding of the drivers of conversion rates in online channels for the successful implementation of hotel marketing.

Owing to religious and economic preferences in Muslim-dominated countries, middle-income customers are at the heart of banks’ strategic targeting. This study aims to investigate selected middle-income Islamic bank customers from Sylhet, one of Bangladesh’s top religious and cultural cities, to examine their perceptions of the Islamic banking services.

This study forwards three determinants of overall satisfaction. These are perceived relative advantage (PRA), perceived risk management (PRM) and perceived customer engagement (PCE). The study has used structured questionnaire and collected complete data on 300 middle-income Islamic bank users. The data was analysed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modelling (SEM).

While all the three selection factors significantly influence overall satisfaction, PCE has greater positive impact on overall customer satisfaction, followed by PRA and PRM. “Convenient location”, “competitive charges” and “return on deposit despite low earnings” are the top three instruments measuring “PCE”. Religion did not qualify as a standalone selection factor. The results are robust across tests conducted by using EFA, CFA and SEM.

Gross purchasing power of middle-income class in Bangladesh grew from 7% to over 30% during the past decade, and the purchasing power of this class stood at US$100bn. Having a greater portion of this population as Muslims, banks can design products and marketing campaigns by using the three selection criteria that offer a combination of faith and non-faith-based variables.

Similar studies on the middle-income customer group have been rare, especially from the Islamic banking perspective. These findings offer a concise list of three factors for the bank managers to build their strategies. With respect to the Vision 2021, these findings carry greater socio-economic significance given the transition of Bangladesh to a middle-income country.

The popularity of electric and hybrid cars has been growing worldwide, and Portugal is no exception. Companies have been offered incentives as a way to promote the transition to more sustainable transportation systems and supply chains. Celebrities and influencers are endorsing the new technology, and consumer preferences are changing. However, in Portugal, there are still consumers with misconceptions about the autonomy, cost and reliability of electric cars, which may favour the choice of a conventional car, in a new car purchase decision-making process.

In this study, we analyse whether purchase intention in the near future of an electric car varies with a pro-environmental lifestyle, perceived symbolic value of the electric car, mobility patterns, age, and place of residence, (performance, social, financial and externalities) risk avoidance, consumer perceptions, knowledge about the cost, the autonomy and the existing infrastructures. A sample of 308 Portuguese consumers was collected with an online survey. Results from survey subsample analysis of 170 consumers who unequivocally claim that would opt for an electric vehicle or not show a positive relationship between the purchase intention of an electric car, the fuel cost increase, the proximity of convenient charging places and battery lifetime perception. It was also found that age, knowledge and perceived symbolic value of the electric car, in general, have a positive influence on consumers' choice of an electric car. A negative relationship was found between the purchase intention, social and financial risk avoidance, perceived symbolic value of the electric car in particular and the number of cars each family has.

Nowadays, the increase in the capacity of batteries has laid the foundations for a broader diffusion of electric mobility. However, electric mobility is causing a growing electricity demand as well as the need to increase the diffusion of suitable charging stations. Within these last challenges, drawing on the recent literature, this chapter provides a critical and wide-ranging review of papers dealing with the formulation of the problem of the localisation of electric vehicle (EV) charging points. This problem is approached considering the electric charging infrastructure technologies, localisation criteria and related methodologies. This review shows how the ‘electric mobility revolution’ applies the technological innovations provided by the energy supply systems, and the location of these systems within the urban contexts. Since the technological innovations have different options, achieving an international standard of charging systems is still far away. Moreover, as there are several criteria, parameters and methodologies, and some analytical approaches for the localisation of electric vehicle charging points, the formulation of the ‘localisation’ problem should require the application of multi-criteria analysis to be addressed. Finally, the results show that there is no consensus on technologies, criteria, and methodologies to be adopted. Therefore, this wide-ranging analysis of the literature would be useful to support possible benchmarking and systematisation accordingly.

To plan an appropriate marketing strategy for attracting new customers, commercial banks need to identify the criteria on which potential customers determine their bank selection decision. The study focuses on examining the bank selection criteria being employed by college students in Bahrain. A total of 1,000 students aged 19‐24 (45 per cent male and 55 per cent female) of the University of Bahrain served as a sample for the study. Our examination relied on 30 selection factors extracted from relevant literature, personal experience and interviews with some bank officials and college students. Findings reveal that the chief factors determining college students’ bank selection are: bank’s reputation, availability of parking space near the bank, friendliness of bank personnel, and availability and location of automated teller machines (ATM). Findings suggest that it may be necessary to deal with male and female students as distinctive segments with different priorities in their bank selection process.

The purpose of this paper is to investigate and comment on the factors used by Australian students to select their bank and the products and services they utilise, based on responses to an online questionnaire.

A mixed-methods approach, incorporating both qualitative and quantitative methods, was used to investigate this research issue. Convenience sampling resulted in 276 completed online responses. Mean ranking and factor analysis methods were employed to identify the key factors used in selecting a bank and frequency analysis used to examine the products and services utilised by students.

The key factors used by students to select a bank in Australia were bank competence, recommendations and outside influences, bank costs, returns and services, and finally location. The main bank products and services used by students were automated teller machines (ATMs), savings accounts, internet and telephone banking, and debit cards.

The use of an online survey which limits the pool of respondents to internet users and, the sample size limits generalisability of the findings.

Banks can better target and understand the key determinants used by students in selecting a bank and the products and services this group values. This will allow Australian banks to develop programs to better attract and retain student customers.

Provides insight to and understanding of the determinants used by students to select their bank and the products and services they utilise. Furthermore, this study fills a gap in the literature by focusing on the banking behaviour of Australian students, an important segment of bank customers previously under-researched.

This research aims to focus on the problem of optimizing the layout of charging stations.

The authors estimate the total number of charging stations by the number of existing gas stations using clustering by fast search-and-find of density peaks (CFSFDP) algorithm.

This paper reveals the relationship between the distance and the population. Priority should be given to the short-distance and high-frequency travel charging needs in the city, followed by low frequency and travel, which can improve the use efficiency of the whole charging network.

First, the total number of charging stations is estimated by the number of existing gas stations. This method can fully consider the growth potential of charging vehicles instead of the traditional cars. Besides, the cost-benefit method is proposed to explore the marginal coverage distance of the city’s charging network and can be used to reveal the relationship between the distance and the population.

This chapter is a review and discussion of the experience of becoming an Electric Vehicle (EV) owner, with a focus on the importance of online EV communities on social media platforms in providing informal support to new owners during the transition into EV ownership and use.

Becoming an EV owner represents a significant disruption to drivers’ very established and comfortable driving practices. Electric cars force their owners to re-think long-habitual aspects of the driving experience, including driving behaviour, refuelling (practicalities and etiquette), route planning, and the extent of the car’s ‘sphere of access’.

Because of this disruption, new EV owners regularly encounter challenges, including charging, range, new technology, route planning, etiquette, and more. People often need support to overcome these challenges, and EV owner groups on social media are an important source of such support; new owners can receive advice on a range of issues. This chapter presents data extracted from EV owner social media group posts, analysing the discussions and advice that EV owners offer one another, and exploring the various forms of important support available to new owners/drivers.

This chapter shows how online EV communities are very actively used by EV owners and are of particular importance for new owners. These communities welcome new owners/drivers, offer support and advice, respond to questions, give recommendations, and encourage socialising and a form of group identity/bonding. With EV ownership rapidly increasing in many countries, online EV communities have a very important role to play in helping facilitate the international transition to electric mobility.

Develops an original 12‐step management of technology protocol and applies it to 51 applications which range from Du Pont’s failure in Nylon to the Single Online Trade Exchange for Auto Parts procurement by GM, Ford, Daimler‐Chrysler and Renault‐Nissan. Provides many case studies with regards to the adoption of technology and describes seven chief technology officer characteristics. Discusses common errors when companies invest in technology and considers the probabilities of success. Provides 175 questions and answers to reinforce the concepts introduced. States that this substantial journal is aimed primarily at the present and potential chief technology officer to assist their survival and success in national and international markets.

Presents the findings of a survey of undergraduates on bank selection preferences. In the study, nine criteria for bank selection decision and five banks are identified, and the decision problem is structured into a three‐level hierarchy using the Analytic Hierarchy Process. The findings indicate that undergraduates place high emphasis on the pricing and product dimensions of bank services. The results are of interest to bank managers because they provide information on the importance of the selection criteria as well as areas of strengths and weaknesses of banks.